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2025-01126 SUPPLEMENTAL MATERIAL - Airport South Industrial Annexation (P21-017) (Noticed on 11072025; Published 11072025; Passed for Publication 10212025; Published 10242025) [Updated 11/18/2025 @4:41 PM] - Part 8

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November 18, 2025

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2025-01126 SUPPLEMENTAL MATERIAL - Airport South Industrial Annexation (P21-017) (Noticed on 11072025; Published 11072025; Passed for Publication 10212025; Published 10242025) [Updated 11/18/2025 @4:41 PM] - Part 8
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Final Natomas Basin Habitat Conservation Plan
April 2003
prepared by
City of Sacramento
Sutter County
Natomas Basin Conservancy
in association with
Reclamation District No. 1000
Natomas Central Mutual Water Company
prepared for
United States Fish and Wildlife Service
California Department of Fish and Game
Natomas Basin E042002017SAC cover_10.indd 04.18.03
Volume 2 - Appendices

Petition Evaluation for
Western Burrowing Owl (Athene cunicularia
hypugaea)

Report to the Fish and Game Commission
AUGUST 2024

i

California Department of Fish and Wildlife (CDFW). 2024. Petition Evaluation for Western Burrowing Owl (Athene cunicularia hypugaea). Report to the Fish and Game Commission.

California Department of Fish and Wildlife, P.O. Box 944209, Sacramento CA 94244-2090. 19 pp.
ii

Table of Contents
Table of Contents ............................................................................................................................ ii List of Figures ................................................................................................................................ iii List of Tables .................................................................................................................................. iii List of Abbreviations, Acronyms, and Terms ................................................................................ iii Executive Summary ......................................................................................................................... 1 Introduction .................................................................................................................................... 2 Petition Evaluation Overview ................................ ................................ ............................... 2 CESA Petition History ................................ ................................ ................................ .......... 3 Additional Species Status Designations ................................ ................................ ................ 6 Species Description and Taxonomy ................................ ................................ ...................... 6 Summary of Petition Components.................................................................................................. 6 Life History ................................ ................................ ................................ .......................... 7 Scientific Information in the Petition ................................ ................................ ............. 7 Range, Distribution, and Distribution Map ................................ ................................ .......... 8 Scientific Information in the Petition ................................ ................................ ............. 8 Habitat ................................ ................................ ................................ ................................ 10 Scientific Information in the Petition ................................ ................................ ............10 Abundance ................................ ................................ ................................ .......................... 10 Scientific Information in the Petition ................................ ................................ ............10 Population Trend ................................ ................................ ................................ ................12 Scientific Information in the Petition ................................ ................................ ............12 Threats ................................ ................................ ................................ ................................ 13 Scientific Information in the Petition ................................ ................................ ............13 Existing Management Efforts ................................ ................................ .............................. 15 Scientific Information in the Petition ................................ ................................ ............15 Future Management ................................ ................................ ................................ ............17 Scientific Information in the Petition ................................ ................................ ............17 Availability and Sources of Information ................................ ................................ ..............18 Scientific Information in the Petition ................................ ................................ ............18 Sufficiency of Scientific Information to Indicate the Petitioned Action May Be Warranted ..18 iii

Recommendation to the Commission ........................................................................................... 18 Literature Cited .............................................................................................................................. 18 List of Figures
Figure 1. Burrowing owl regions in California, as delineated by Wilkerson and Siegel (2010) ..... 5 Figure 2. Range of breeding burrowing owls in California, showing areas of extirpation and near-extirpation .............................................................................................................................. 9 List of Tables
Table 1. Estimates of breeding pairs of burrowing owls in California by region ........................... 11 List of Abbreviations, Acronyms, and Terms
CESA – California Endangered Species Act
Commission – California Fish and Game Commission
Department – California Department of Fish and Wildlife ESA – Federal Endangered Species Act
HCP – Habitat Conservation Plan
NCCP – Natural Community Conservation Plan
SSC – Species of Special Concern
1 Executive Summary
The Center for Biological Diversity, Defenders of Wildlife, Burrowing Owl Preservation Society, Santa Clara Valley Audubon Society, Urban Bird Foundation, Central Valley Bird Club, and San Bernardino Valley Audubon Society submitted a petition (Petition) to the California Fish and Game Commission (Commission) to list western burrowing owl (Athene cunicularia hypugaea; burrowing owl) as threatened or endangered pursuant to the California Endangered Species Act (CESA). The western burrowing owl is a small bird of prey that lives in open, arid, relatively flat terrain covered by low vegetation, such as grasslands, prairies, shrub steppes, and desert shrubs.

The owl nests and roosts in underground burrows that are typically excavated by other fossorial animals, such as ground squirrels, coyotes, foxes, and tortoises.

On March 18, 2024, the Commission referred the Petition to the California Department of Fish and Wildlife (Department) in accordance with Fish and Game Code section 2073 (Cal. Reg.

Notice Register 2024, No. 14-Z, p. 398). Pursuant to Fish and Game Code section 2073.5, subdivisions (a) and (b) and California Code of Regulations, title 14, section 670.1, subdivision (d), the Department prepared this evaluation report (Petition Evaluation) within 120 days of receiving the Petition. The purpose of the Petition Evaluation is to evaluate the sufficiency of the scientific information contained in the Petition in relation to other relevant information possessed or received by the Department during the evaluation period, and to recommend to the Commission whether the Petition should be accepted and considered.

After reviewing the Petition and other relevant information, the Department made the following determinations regarding the information contained in the Petition:
• Life history. The Petition provides sufficient information regarding the life history of the western burrowing owl.
• Range and distribution. The Petition provides sufficient information regarding the historical and current range and distribution of the western burrowing owl. • Detailed distribution map. The Petition provides a detailed range map and discusses distribution of the western burrowing owl.
• Kind of habitat necessary for survival. The Petition provides sufficient information regarding western burrowing owl habitat.
• Abundance. The Petition provides sufficient information regarding the abundance of the western burrowing owl in California.
• Population trend. The Petition provides sufficient information regarding the western burrowing owl’s population trends in regions of California. • Factors affecting the ability to survive and reproduce. The Petition provides sufficient information regarding factors affecting the ability of the western burrowing owl to survive and reproduce. Primary factors listed in the Petition include: habitat loss, fragmentation, and degradation; direct mortality caused by several anthropogenic factors; relocation of owls for project-related mitigation and failure to maintain artificial nest boxes; population isolation and demographic stochasticity; and predation. 2 • Degree and immediacy of threat. The Petition provides sufficient information detailing the degree and immediacy of threats to the western burrowing owl. • Impact of existing management efforts. The Petition provides sufficient information regarding the impact of existing management efforts. • Suggestions for future management. The Petition provides suggestions for future management actions for the western burrowing owl and its habitat. • Availability and sources of information. The Petition provides sufficient sources of scientific information and has made them available to the Department along with the Petition.

The Department has determined that the Petition meets the requirements set forth in Fish and Game Code section 2072.3 and California Code of Regulations, title 14, section 670.1, subdivision (d)(1). In preparing this Petition Evaluation, the Department determined that there is sufficient scientific information to indicate that the petitioned action to list the western burrowing owl as threatened or endangered under CESA may be warranted. Therefore, the Department recommends that the Commission accept the Petition for further consideration pursuant to CESA.

Introduction
Petition Evaluation Overview
The Commission has the authority to list certain species as endangered or threatened under CESA (Fish & G. Code, § 2070). CESA defines the “species” eligible for listing to include “species or subspecies” (Fish & G. Code, §§ 2062, 2067, & 2068) and courts have held that the term “species or subspecies” includes “evolutionarily significant units” (Central Coast Forest Assn. v.

Fish & Game Com. (2018) 18 Cal.App.5th 1191, 1236, citing Cal. Forestry Assn., infra, 156 Cal.App.4th at pp. 1542 and 1549). The listing process is the same for species, subspecies, and evolutionarily significant units (ESUs) (Fish & G. Code, §§ 2070-2079.1). For purposes of the Department’s petition evaluation and recommendation, a species’ range is the species’ California range only (Cal. Forestry Assn. v. Cal. Fish and Game Com. (2007) 156 Cal.App.4th 1535, 1551).

CESA sets forth a two-step process for listing a species as threatened or endangered. First, the Commission determines whether to designate a species as a candidate for listing by evaluating whether the petition provides “sufficient information to indicate that the petitioned action may be warranted” (Fish & G. Code, § 2074.2, subd. (e)(2)). If the Commission accepts the petition for consideration, the second step requires the Department to produce, within 12 months (or within up to 18 months with an extension) of the Commission’s acceptance of the petition, a peer-reviewed report based upon the best scientific information available that advises the Commission on whether the petitioned action is warranted (Fish & G. Code, § 2074.6). Then, the Commission, based on that report and other information in the administrative record, determines whether the petitioned action to list the species as threatened or endangered is warranted (Fish & G. Code, § 2075.5).
3 A petition to list a species under CESA must include “information regarding the population trend, range, distribution, abundance, and life history of a species, the factors affecting the ability of the population to survive and reproduce, the degree and immediacy of the threat, the impact of existing management efforts, suggestions for future management, and the availability and sources of information. The petition shall also include information regarding the kind of habitat necessary for species survival, a detailed distribution map, and any other factors that the petitioner deems relevant” (Fish & G. Code, § 2072.3; see also Cal. Code Regs., tit. 14, § 670.1, subd. (d)(1)).

Within 10 days of receipt of a petition, the Commission must refer the petition to the Department for evaluation (Fish & G. Code, § 2073). The Commission must also publish notice of receipt of the petition in the California Regulatory Notice Register (Fish & G. Code, § 2073.3).

Within 90 days of receipt of the petition (or 120 days if the Commission grants an extension), the Department must evaluate the petition on its face and in relation to other relevant information the Department possesses and submit to the Commission a written evaluation report with one of the following recommendations (Fish & G. Code, § 2073.5, subds. (a)-(b)):
• Based upon the information contained in the petition, there is not sufficient information to indicate that the petitioned action may be warranted, and the petition should be rejected; or
• Based upon the information contained in the petition, there is sufficient information to indicate that the petitioned action may be warranted, and the petition should be accepted and considered.

The Department’s candidacy recommendation to the Commission is based on an evaluation of whether the petition provides sufficient scientific information relevant to the petition components set forth in Fish and Game Code section 2072.3 and California Code of Regulations, title 14, section 670.1, subdivision (d)(1) to indicate that the petitioned action to list the western burrowing owl as threatened or endangered may be warranted. Sufficient information means that the amount of information presented in the listing petition would lead a reasonable person to conclude that there is a substantial possibility that listing could occur (see Natural Resources Defense Council v. Cal. Fish and Game Com. (1994) 28 Cal.App.4th 1104).

CESA Petition History
On March 5, 2024, the Commission received the Petition from the Center for Biological Diversity, Defenders of Wildlife, Burrowing Owl Preservation Society, Santa Clara Valley Audubon Society, Urban Bird Foundation, Central Valley Bird Club, and San Bernardino Valley Audubon Society to list the western burrowing owl (Athene cunicularia hypugaea) as threatened or endangered under CESA (Cal. Reg. Notice Register 2024, No. 14-Z, p. 398). On March 18, 2024, the Commission referred the Petition to the Department for evaluation. The Commission publicly received the Petition at its April 17–18, 2024 meeting. At its June 19, 2024 meeting, the Commission granted the Department’s request for a 30-day extension of the period to review the Petition and prepare this Petition Evaluation. 4 The Petition requests that the Commission list the western burrowing owl as threatened throughout its entire range in California.

Alternatively, the Petition requests that the Commission list certain western burrowing owl evolutionarily significant units under CESA. The Petition argues that California's western burrowing owl populations comprise different ESUs and describes seven distinct biogeographic regions that appear to align with the proposed ESUs: the San Francisco Bay Area, Central Valley, Central-Western California, Southwestern California, Coachella and Imperial Valleys, Northern Desert, and Southern Desert (Figure 1).

The Petition requests that the San Francisco Bay Area, Central-Western California, and Southwestern California populations be listed as endangered, and the Central Valley and Southern Desert Range populations be listed as threatened under CESA. The Petition does not request that the Commission list the Northern Desert or the Coachella and Imperial Valley populations under CESA.

In addition to the petitioned actions described above, if the Commission determines listing the entire Central Valley population as threatened is not warranted, the petitioners request that that the Commission evaluate whether the western burrowing owls in the Northern Central Valley, Middle Central Valley, and Southern Central Valley regions constitute distinct populations, and whether listing any of these populations is warranted under CESA. If the Commission determines that listing the entire Southern Desert Range population as threatened is not warranted, the petitioners also request that the Commission evaluate whether the western burrowing owls in the Western Mojave, Eastern Mojave, and Sonoran Desert regions constitute distinct populations and whether listing any of these populations is warranted under CESA (Figure 1).
5 Figure 1. Western burrowing owl regions in California, as delineated by Wilkerson and Siegel (2010). This map was included in the Petition as Figure 2.

6 Additional Species Status Designations
The western burrowing owl is a California Species of Special Concern (Shuford and Gardali 2008) and is designated as a Bird of Conservation Concern by the U.S. Fish and Wildlife Service (USFWS 2021).

Species Description and Taxonomy
The Petition describes the western burrowing owl as “a small, cryptically-colored owl that is adapted for life in open, arid, relatively flat to rolling terrain covered by low-stature vegetation.” They are “small, with brown and white mottling, and have long, almost bare, stilt-like legs and a stubby tail. Long legs help them see over short-grass vegetation in a landscape with few elevated perches, and also aid in running down prey. Burrowing owls have a round head lacking ear tufts, white eyebrows, yellow eyes, and a distinct oval facial ruff. Adults are a rich sandy-brown color on the head, back, and upper parts of the wings, and are thickly spotted with whites and buffs on the underparts…Unlike many other raptors, the female is slightly smaller than the male, which may be an adaptation for squeezing into narrow burrows. Adult birds are about 19–25 cm (7–10 inches) tall and weigh an average of 150 grams…Juveniles are distinguished from adults by their solid buffy breast and white collar.”
The Petition lists the taxonomic classification of the western burrowing owl: “Class Aves, Order Strigiformes (Owls), Family Strigidae (Typical Owls), Genus Athene, Species cunicularia, and Subspecies hypugaea.” The western burrowing owl’s range extends over much of the western United States. There are two subspecies of burrowing owl in North America, with the other subspecies (A. c. floridana) occurring in Florida and the Bahama Islands.

Summary of Petition Components
Pursuant to Fish and Game Code section 2072.3 and California Code of Regulations, title 14, section 670.1, subdivision (d)(1), the Department has verified that the Petition contains information regarding each of the following petition components:
• Life History;
• Range;
• Distribution;
• Detailed Distribution Map;
• Kind of habitat necessary for survival;
• Abundance;
• Population Trend;
• Factors affecting the ability to survive and reproduce; • Degree and immediacy of threat;
• Impact of existing management efforts;
• Suggestions for future management; and
• Availability and sources of information.
7 No information was submitted to the Department relating to the western burrowing owl during the Department’s evaluation of the Petition (Fish & G. Code, § 2073.4). Pursuant to Fish and Game Code section 2073.5, the Department evaluated the information contained in the Petition to determine whether there is, or is not, sufficient information to indicate that the petitioned action(s) may be warranted. A summary of the information contained in the Petition regarding each of the components listed above is presented below. In some instances, the Department has grouped similar components together and renamed components to create a more cohesive and readable document.

Life History
Scientific Information in the Petition
The Petition discusses the life history of the burrowing owl in the “Natural History” section on pages 1–17. The section includes information on reproduction and growth, feeding, seasonal movements, predators, survival, and dispersal. The following is a summary of the information presented.

The burrowing owl nests and roosts in underground burrows that are typically excavated by other fossorial animals, such as ground squirrels, coyotes, foxes, and tortoises. They nest in loose colonies and proximity to ground squirrels increases security by means of mutual alarm- calling. The burrowing owl breeding season typically occurs between February and August. Pairs tend to be monogamous. Generally, females lay one clutch per year of up to 12 eggs. The incubation period is 29 days and juveniles emerge from the burrows at 2–3 weeks old. Parents will feed the juveniles for up to another 2 months and young will stay with their parents until fall. A pair of owls can fledge 4–5 young in good years. Juveniles disperse in the fall but tend to stick close to their parents’ nesting territory.

Burrowing owls are most active at night and can forage from dusk until dawn. They feed primarily on large insects and small rodents but will take a wide variety of prey. When nesting, males forage while females incubate the eggs. Males tend to forage within 600 m of the nest burrow. Availability of prey appears to impact reproductive success.

Most of California’s burrowing owls are residents (i.e., they do not have seasonal migrations outside California), but some populations are migratory. Resident owls may move away from their breeding areas during the nonbreeding season, but most tracked owls moved less than 5 miles away from their nest sites (although there is documentation of much longer distance movements). Burrowing owls exhibit strong site fidelity and adults often return to the same burrow or a nearby area each year. Some migratory owls that breed outside California (e.g., in the northern portion of the range, as far north as Canada) migrate into California and augment the winter population. Detailed information on the winter movements of these owls is not available, but due to an influx of migrants, California has a larger number of burrowing owls in winter. In addition, an apparently small proportion of western burrowing owls that breed in California migrate south into Mexico or other areas outside California. 8 Burrowing owls can live 5–8 years and start breeding at 1 year old. Survival of adults and juveniles is variable across California. The between-year adult return rate to nesting sites (used as a proxy for survival rate) has been reported as low as 30% and as high as 83%. A long-term study at the San Jose International Airport suggested that low adult survival rate contributed to a declining population. A variety of predators feed on burrowing owl eggs and young while in the nest, including skunks, badgers, foxes, raccoons, and snakes. Raptors, ravens, crows, and coyotes are predators of older nestlings and adult owls when they are above ground.

The degree of connectivity among populations of western burrowing owls in California is unclear. Individual owls are known to move large distances across biogeographic areas in California, and a genetic analysis from three widely separated study areas failed to identify population differentiation or evidence for genetic inbreeding or population isolation. On the other hand, of 4,708 burrowing owls banded in California, 75 of the 106 owls that were later resighted were within 18 kilometers (roughly 11 miles) of the banding location. The Petition suggests that movement of resident breeding burrowing owls in California is limited and states that there is no evidence that owls from abundant populations supplement geographically isolated or depleted populations through migration.

Range, Distribution, and Distribution Map
This section includes discussion of the Range, Distribution, and Detailed Distribution Map petition components (Fish & G. Code, § 2072.3; see also Cal. Code Regs., tit. 14, § 670.1, subd. (d)(1)).

Scientific Information in the Petition
The Petition discusses the range and distribution of western burrowing owl in the “Natural History” section on pages 2–4 and in the “Historical and Recent Distribution and Abundance” section on pages 22–82. The Petition quotes from Grinnell and Miller (1944) to describe the historical range of the burrowing owl in California:
“Suitable areas (treeless and level) almost throughout the state, from the Oregon line east of the Siskiyou mountains south to the Mexican border, and from the Nevada border and Colorado River west to the ocean shore; includes practically all islands from the Farallones south. Mostly rare or wanting in coastal counties north of Marin and in all mountainous areas.”
The Petition states that owls are found primarily in “wide, lowland, interior valley bottoms and in flat coastal lowlands,” generally below 60–300 m in elevation. Occurrence data (historical and contemporary observations) was presented for all counties in the California range, with burrowing owls being described as extirpated from several counties (16% of the California range). The Petition provides a map showing the burrowing owl’s breeding range and areas with extirpation or near extirpation (Figure 2). This map also provides information on historical distribution and the status of western burrowing owl populations within its range in California. 9 Figure 2. Range of breeding western burrowing owls in California, showing areas of extirpation and near-extirpation. This map was included in the Petition as Figure 1.

10 Following a statewide survey conducted in 1991–1993, Desante et al. (1996, 2007) reported that 71% of the breeding burrowing owls in California occurred in the Imperial Valley and 24% occurred in the Central Valley. The remaining 5% of the population was described as distributed across the San Francisco Bay Area, central-western California, and southwestern California. The deserts of northern and southern California were not included in the 1991–1993 statewide survey. A second statewide survey in 2006–2007 found a similar population distribution, but with a fairly large proportion of individuals in some of the desert areas not previously surveyed (western Mojave Desert (6%) and Palo Verde Valley in the Sonoran Desert (2%); Wilkerson and Siegel 2010).

Habitat
This section includes discussion of the kind of habitat necessary for the survival of western burrowing owl (Fish & G. Code, § 2072.3; see also Cal. Code Regs., tit. 14, § 670.1, subd. (d)(1)).

Scientific Information in the Petition
The Petition discusses the habitat of the burrowing owl in the “Habitat Requirements” section on pages 10–13. The Petition describes burrowing owl habitat broadly as “a variety of arid and semi-arid environments, with well-drained, level to gently sloping topography, characterized by sparse vegetation, low-stature vegetation, and bare ground.” Burrowing owls occur in natural environments such as grasslands, shrublands, and deserts, but also occur in human-altered landscapes (e.g., agricultural lands, golf courses, cattle pastures). Primary habitat requirements include the presence of burrows for roosting and nesting and vegetation structure that is relatively short and sparse. Burrows used by burrowing owls in California are usually excavated by ground squirrels. Short vegetation allows burrowing owls to see approaching predators and a sparse vegetation structure is necessary for prey accessibility.

Abundance
Scientific Information in the Petition
The Petition discusses the abundance of the western burrowing owl in the “Historical and Recent Distribution and Abundance” section on pages 22–87.

There have been two statewide surveys for burrowing owls. The first was conducted in 1991– 1993 (DeSante and Ruhlen 1995; DeSante et al. 1996, 2007), but did not include the Great Basin and the deserts of southeastern California. The second was in 2006–2007 when the breeding range was resurveyed by Wilkerson and Siegel (2010) using similar methodology as the survey in the 1990s. The 2006–2007 survey covered areas in the eastern deserts that had not been surveyed in the 1990s. By comparing these two surveys, Wilkerson and Siegel (2010) “assessed changes in distribution and abundance from 1993.”
Other sources of abundance data cited in the Petition include the Department’s 2003 petition evaluation, which “located additional information on historical distribution and abundance up 11 to 2003 (CDFG 2003).” The Petition also includes recent data from the Department’s Natural Diversity Database and the Cornell University eBird project database from 2015 to 2023. A variety of other sources of data are mentioned in the Petition, including published literature, local surveys, museum collections, Breeding Bird Survey data, personal communications, and anecdotes.

Using this information, the petitioners present data on numbers of breeding and migratory burrowing owls for each county within the species’ historical range. Some counties have very limited data while others have data from multiple local surveys. As mentioned above, the petition also cites two statewide surveys. Abundance data presented in the Petition for breeding western burrowing owls from multiple time periods across broad regions of California are summarized in Table 1, below.

Table 1. Estimates of breeding pairs of burrowing owls in California by region. Estimates for 1991–1993 by DeSante and Ruhlen (1995) and DeSante et al. (1996, 2007). Estimates for 2003 by CDFG (2003). Estimates for 2006–2007 by Wilkerson and Siegel (2010). Estimates for 2023 by petitioners based on regional surveys and other information in the Petition.

Table recreated from Table 1 in the Petition.

Region 1991–1993 2003 2006–2007 2023
Northern Desert ? 90–149 0–5 1–10
Central Valley
(total) 2,221 2,221–2,227 1,670 <1,465
Northern
Central Valley 231 231 12 1–2
Middle
Central Valley 594 594–600 545 <350
Southern
Central Valley 1,396 1,396 1,113 <1,113
San Francisco
Bay Area (total) 165 165 119 <25
Bay Area
Coast 0 0 0 0
Bay Area
Interior 165 165 119 <25
Central-Western
(total) 46 92 84 <84
12 Central-
Western Coast 8 8 0 0
Central-
Western
Interior
38 38 84 <84
Carrizo Plain NA 46 ? ?
Southwestern
(total) 263 263 192 <140
Southwestern
Coast 36 36 42 <40
Southwestern
Interior 227 227 150 100?
Coachella Valley 0 10–20 53 <53
Imperial Valley 6,571 5,600–6,571 6,408 <4,000
Southern
Deserts (total) ? 500–1,000 772 <772
Palo Verde
Valley NA 500–1,000 179 <50?
Statewide 9,266 8,941–10,477 9,298–9,303 <6,549

Population Trend
Scientific Information in the Petition
Using the data presented in the Abundance section, the Petition discusses western burrowing owl population trends in the “Population Trends” section on pages 82–87.

The Petition references several publications that suggest burrowing owl numbers in California declined prior to the first statewide survey in the 1990s. Grinnell and Miller (1944) suggested that population declines had occurred in portions of the state by the 1940s. Remsen (1978) stated that declines observed in the 1940s had “continued through to the present time.” The researchers that conducted the first statewide burrowing owl survey suggested that population declines had occurred between the 1980s and the 1991–1993 surveys (DeSante et al. 1996, 2007); estimated decline in the number of burrowing owl groups (a surrogate for number of colonies) was 62–77% in all of coastal California, 51–66% in the San Francisco Bay Area Interior, and 1–48% in the Central Valley.
13 Following the second statewide survey in 2006–2007, Wilkerson and Siegel (2010) reported an estimated 11% decline in the statewide breeding population since 1993 (excluding the desert regions that were not surveyed in 1991–1993). The number of burrowing owl breeding pairs for the entire Central Valley declined 27% from the 1991–1993 surveys, and the number of pairs in the San Francisco Bay Area declined 28%. Using a different estimation method, Wilkerson and Siegel (2010) also report that the number of pairs in the southwestern interior declined 95%.

The Petition lists the California counties where burrowing owls are thought to have been extirpated, including portions of the northern Central Valley, all of the coastal Bay Area, most of the central and southern coast, as well as some areas in the interior of the Bay Area. The Petition states areas of extirpation comprise roughly 16% of the burrowing owls’ former range. The Petition states burrowing owls are likely to be very close to being extirpated from another 13% of their range, including in portions of the Central Valley, the remaining areas in the interior Bay Area, and the central and southwestern coasts (Figure 2).

The Petition lists the Coachella Valley and Palo Verde Valley as areas where the burrowing owl population increased between the two statewide surveys. The Imperial Valley experienced a significant increase in breeding burrowing owls during the early-to-mid 1900s, commensurate with the intensification of regional agricultural activities; however, the most recent population estimate is significantly less than the three prior estimates. The Petition also discusses two attempts to reintroduce burrowing owls in California—one in San Diego County and another in the Santa Clara Valley.

Threats
This section includes discussion of the factors affecting the ability of the western burrowing owl population to survive and reproduce and the degree and immediacy of threat (Fish & G. Code, § 2072.3; see also Cal. Code Regs., tit. 14, § 670.1, subd. (d)(1)).

Scientific Information in the Petition
The Petition discusses threats to the western burrowing owl in the section titled “Factors Affecting Survival and Reproduction; and Degree and Immediacy of Threats” on pages 88–125.

The Petition identifies five primary threats:
1) Habitat loss, fragmentation, and degradation from urban and suburban development, industrial energy development, destruction of ground squirrels, and agricultural practices;
2) Direct mortality from development projects, collisions with vehicles and structures, pesticides, and agricultural activities;
3) Relocation of owls and failure to maintain artificial nest boxes; 4) Population isolation and demographic stochasticity; and 5) Predation.
14 The Petition also discusses other anthropogenic factors that may influence the survival of the species, including harassment, fire control, disease, and climate change.

Of the five primary threats it lists, the Petition identifies habitat loss, fragmentation, and degradation as the primary threat to burrowing owls in California. The Petition suggests the elimination of ground squirrels as a result of control programs is one of the main factors contributing to habitat loss and degradation and both the recent and historical decline of the species. Ground squirrels play a crucial role in supporting burrowing owl populations through the excavation of burrows for breeding, refuge, and food-cache sites, mutual alarm-calling, attracting predators away from owls, and providing shelter in burrows for species burrowing owls prey on.

According to the Petition, agricultural landscapes in California can support dense populations of burrowing owls if there are sufficient flat, open areas suitable for burrows and sustaining prey populations. However, certain types of agriculture pose significant threats to burrowing owls’ survival through habitat destruction, fragmentation, and degradation. Factors such as pesticide exposure, destruction of nest burrows by farming machinery, and the conversion of grasslands and rangelands to croplands have contributed to burrowing owl population decline. Orchards and vineyards also pose a direct challenge to burrowing owl survival, as these environments lack suitable nesting sites and increase the risk of predation. While livestock grazing can be compatible with, and even beneficial for, burrowing owl habitat, heavy grazing can diminish prey abundance and the control of ground squirrels in such areas to enhance livestock production can further degrade the habitat. Burrowing owls have been pushed to the edges of croplands, often surviving along roadside embankments and earthen irrigation canals and drains. This makes them vulnerable to flooding, conversion of earthen canals to concrete, and drain dredging. Overall, while some agricultural practices can be compatible with burrowing owl habitat, the Petition concludes that intensive agriculture often leads to habitat loss and degradation.

The Petition states that burrowing owls face numerous other threats to their habitat, primarily stemming from urban development, renewable energy projects, and invasive plant species. The majority of breeding burrowing owls reside in agricultural areas like the Imperial Valley, Central Valley, and Palo Verde Valley. According to the Petition, rapid human population growth and the conversion of agricultural or undeveloped lands to urban and suburban uses in these areas causes the loss of nesting and foraging habitat for burrowing owls.

According to the Petition, direct mortality of burrowing owls occurs from numerous sources in California. The owls inhabit the complex burrow systems of ground squirrels and heavily rely on their underground shelters for protection, especially during the breeding season when caring for their young. However, this behavior makes burrowing owls exceptionally vulnerable to various human activities, such as earthmoving, tilling, and rodent fumigation, which can trap or crush them underground. Urban vandalism, such as plugging burrows, poisoning from primary or secondary ingestion of insecticides and anticoagulant rodenticides, vehicle strikes, and collisions with aircraft can also pose threats to these owls. The Petition states that electric security fences, 15 industrial renewable energy facilities, and high-speed rail construction further exacerbate this threat.

The relocation of burrowing owls in California, often conducted to mitigate impacts of urban development, is another potential threat for owl populations, according to the Petition. The Petition states that active relocation efforts have had limited success and can lead to stress for burrowing owls. Passive relocations, where burrowing owls are simply displaced without monitoring or follow-up, provide no information about the fate and breeding success of the relocated birds. Despite attempts to mitigate direct harm to burrowing owls during development projects, the Petition states the overall effectiveness of relocation strategies remains questionable. Artificial burrows, commonly used in relocation attempts, require ongoing maintenance, and may not adequately substitute for natural burrows.

The Petition suggests that burrowing owl populations in California face significant challenges due to their small population size and fragmented distribution. Small, isolated colonies are vulnerable to extirpation, especially without the influx of immigrants. Fragmented populations are at higher risk of extinction due to factors like reproductive isolation, inbreeding, and increased predation, and environmental factors such as drought or reduced prey density may further threaten these small populations. While some individual burrowing owls are capable of dispersing widely, the overall demographic and genetic connectivity among California burrowing owl populations is poorly understood. Recent studies have revealed genetic differences between resident and migrant owls, with resident populations showing lower levels of genetic diversity, isolation-by-distance, and higher levels of inbreeding (Barr 2023; Barr et al. 2023).

Predation by native terrestrial and avian predators poses a threat to burrowing owls and is exacerbated by their ground-dwelling behavior. Predation by non-native predators, such as introduced red foxes (Vulpes vulpes), feral cats (Felis domesticus), and domestic dogs (Canis lupus familiaris) also occurs and may be exacerbated by urbanization. While predation may not be a significant threat to healthy burrowing owl populations, it can significantly impact fragmented or remnant populations, especially when combined with other threats.

In sum, the Petition provides sufficient information regarding factors threatening burrowing owl survival and reproduction and the degree and immediacy of these threats.

Existing Management Efforts
This section includes discussion of the impact of existing regulatory mechanisms and management efforts (Fish & G. Code, § 2072.3; see also Cal. Code Regs., tit. 14, § 670.1, subd. (d)(1)).

Scientific Information in the Petition
16 The Petition discusses the impact of existing regulatory mechanisms and management efforts in the “Inadequacy of Existing Regulatory Mechanisms and Management Efforts” section on pages 126–164.

The Petition describes the current regulatory mechanisms that may benefit the western burrowing owl, including its status as a state Species of Special Concern (SSC), its status as a federal Bird of Conservation Concern, protections under the Migratory Bird Treaty Act, its frequent treatment as a “rare” species under California Environmental Quality Act, Fish and Game Code prohibitions against take of birds (with special protections for raptors), and a few regional regulations (e.g., a disking ordinance enacted in the city of Davis in Yolo County to protect burrowing owls). The Petition concludes that the current regulatory mechanisms are insufficient to reverse burrowing owl population declines and suffer from insufficient enforcement, which can lead to project proponents ignoring or dismissing them.

The Petition also describes the current management efforts for burrowing owls. There are 35 approved federal Habitat Conservation Plans (HCPs) in California and 22 approved state Natural Community Conservation Plans (NCCPs)—many of which are joint HCP/NCCPs—that include western burrowing owl as a covered species. Other management efforts include Department of Defense Integrated Natural Resource Management Plans, 21 Department- approved conservation banks, and 14 U.S. Fish and Wildlife Service-approved mitigation banks in California that sell credits for the burrowing owl. Additionally, the California Burrowing Owl Consortium, founded in 1989, created the “Burrowing Owl Survey Protocol and Mitigation Guidelines.” The Department has also developed guidelines for excluding burrowing owls prior to activities that will result in burrow destruction, as well as burrowing owl avoidance, minimization, and mitigation approaches. The Petition also summarizes local management efforts in Santa Clara County and the City of Davis (Yolo County).

The Petition contends that the current management efforts for the burrowing owl are inadequate and ineffective. The petitioners argue that current HCPs/NCCPs often fail to adequately address the specific needs of burrowing owls. They summarize studies that report shortcomings of HCPs including the absence of requirements for recovery efforts for covered species, lack of rigorous impact assessments, insufficient mitigation measures, failure to secure funding to ensure mitigation occurs, and a lack of monitoring for effectiveness. The Petition suggests that HCPs/NCCPs have not been effective for burrowing owl conservation because the species continues to decline across the state despite the high numbers of HCPs/NCCPs in California.

The Petition also states that conservation and mitigation banks often lack effective monitoring and management plans, leading to uncertainty regarding their benefits to burrowing owl populations. The Petition explains that there is insufficient information on the number of burrows supported on bank lands. The Petition further states that “the small number of conservation banks with owl habitat, their small size, and the rising cost of purchasing suitable land for habitat make this approach incapable of protecting significant populations of owls” (p. 146). With regard to the guidelines and protocols created by the California Burrowing Owl 17 Consortium and the Department, the Petition contends that these documents have been misused, were not designed for landscape-scale long-term conservation efforts, and rely on voluntary compliance, limiting their efficacy. Lastly, the Petition states that county and city conservation efforts have not provided meaningful gains for burrowing owl conservation.

Future Management
This section includes discussion of suggestions for future management (Fish & G. Code, § 2072.3; see also Cal. Code Regs., tit. 14, § 670.1, subd. (d)(1)).

Scientific Information in the Petition
The Petition discusses suggestions for future management in the “Recommended Management and Recovery Actions” section on pages 165–167.

The Petition summarizes 15 management and recovery actions recommended for western burrowing owls:

1. List the imperiled populations or the statewide population under CESA;

2. Make the Department’s 2012 survey and mitigation guidelines for burrowing owls required (instead of voluntary) and implemented for HCPs;

3. Update the 2012 guidelines to require survey methods based on more recent research;

4. Limit the use of passive relocation (eviction);

5. Continue the Department’s current translocation policy, which limits active relocation to only scientific research or for NCCPs;

6. Accelerate regional conservation planning in the areas where the species is close to extirpation;

7. Focus on permanent protection (land acquisition, conservation easements) for large, stable colonies currently on unprotected private lands;

8. Require stronger mitigation for impacts to breeding owls or their habitat;

9. Incentivize local mitigation for off-setting project impacts;

10. Increase enforcement of relevant Fish and Game Code sections (3503 and 3503.5);

11. Prioritize public and nonprofit ownership of mitigation and conservation banks over for- profit ventures;

12. Conduct a statewide breeding owl survey;

13. Draft a statewide conservation and recovery plan for the species;

14. Amend current management and land use plans to provide appropriate protections for western burrowing owls; and

15. Review current HCPs/NCCPs that cover western burrowing owls to ensure they are adequately protective.
18 Availability and Sources of Information
Scientific Information in the Petition
The Petition cites an extensive list of sources on pages 170–220. No information relating to the petitioned action was submitted to the Department during the evaluation of the Petition pursuant to Fish and Game Code section 2073.5 (See also Fish & G. Code, § 2073.4, subd. (a)).

The Department referenced no additional literature when developing this Petition Evaluation.

Sufficiency of Scientific Information to Indicate the Petitioned Action May Be Warranted
The Department evaluated the petition components set forth in California Code of Regulations, title 14, section 670.1, subdivision (d)(1) for sufficiency of information pursuant to Fish and Game Code section 2073.5. The Department finds that the Petition contains sufficient information regarding each of the petition components. If the Commission accepts the Petition for further consideration under CESA, the Department will commence a review of the status of the species at that time pursuant to Fish and Game Code section 2074.6 and California Code of Regulations, title 14, section 670.1, subdivision (f).

Recommendation to the Commission
Pursuant to Fish and Game Code section 2073.5, the Department has evaluated the Petition on its face and determined that, based upon the information contained in the Petition, there is sufficient scientific information to indicate that one or more petitioned action(s) to list the western burrowing owl as threatened or endangered may be warranted, including, but not limited to information in the Petition regarding the historical and current range and distribution of western burrowing owl indicating a decline in the species’ range over time, information indicating that western burrowing owl has experienced population declines in regions of California and information indicating that threats to the species, coupled with long-term population declines, suggest a high degree and immediacy of threat to western burrowing owl populations in California. This information could lead a reasonable person to conclude that listing may be warranted. Therefore, the Department recommends the Commission accept the Petition for further consideration under CESA.

Literature Cited
Barr, K. 2023. Expanding genomics toolkits to facilitate the conservation and recovery of two protected species, the tricolored blackbird and burrowing owl. Ph.D. dissertation, University of California, Los Angeles.

Barr, K., C. M. Bossu, R. A. Bay, E. C. Anderson, J. Belthoff, L. A. Trulio, D. Chromczak, C. L.

Wisinski, T. B. Smith, and K. C. Ruegg. 2023. Genetic and environmental drivers of migratory behavior in western burrowing owls and implications for conservation and management. Evolutionary Applications 16:1889–1900.
19 California Department of Fish and Game (CDFG). 2003. Petition evaluation for western burrowing owl (Athene cunicularia hypugaea).

DeSante, D. F. and E. Ruhlen. 1995. A census of burrowing owls in California, 1991-1993.

Institute for Bird Populations. Point Reyes Station, CA.

DeSante, D. F., E. Ruhlen, and D. K. Rosenberg. 1996. The distribution and relative abundance of burrowing owls in California: Evidence for a declining population. Institute for Bird Populations. Point Reyes Station, California.

DeSante, D. F., E. D. Ruhlen, and R. Scalf. 2007. The distribution and relative abundance of burrowing owls in California during 1991–1993: Evidence for a declining population and thoughts on its conservation. Pages 1-41 in Proceedings of the California Burrowing Owl Symposium, November 2003. Institute for Bird Populations and Albion Environmental, Inc. Bird Populations Monographs No. 1.

Grinnell, J., and A. H. Miller. 1944. The distribution of the birds of California. Pacific Coast Avifauna, no.27. Cooper Ornithological Club, Berkeley, California.

Remsen, J. V., Jr. 1978. Bird Species of Special Concern in California. Prepared for the California Department of Fish and Game. Sacramento, CA. 54 pp.

Shuford, W. D., and Gardali, T., editors. 2008. California Bird Species of Special Concern: A ranked assessment of species, subspecies, and distinct populations of birds of immediate conservation concern in California. Studies of Western Birds 1. Western Field Ornithologists, Camarillo, California, and California Department of Fish and Game, Sacramento.

U.S. Fish and Wildlife Service (USFWS). 2021. Birds of Conservation Concern 2021. United States Department of the Interior, U.S. Fish and Wildlife Service, Migratory Birds, Falls Church, Virginia.

Wilkerson, R. L., and R. B. Siegel. 2010. Assessing changes in the distribution and abundance of burrowing owls in California, 1993–2007. Bird Populations 10:1-36.

EXHIBIT 10
Prenatal Air Pollution and Newborns' Predisposition to
Accelerated Biological Aging
Dries S. Martens, MSc, Bianca Cox, PhD, and Bram G. Janssen, PhD Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium Diana B. P. Clemente, MSc,
Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Instituto de Salud Global, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain Antonio Gasparrini, PhD,
Department of Social and Environmental Health Research, London School of Hygiene & Tropical Medicine (LSHTM), London, England; Department of Medical Statistics, LSHTM, London, England
Charlotte Vanpoucke, MSc,
Belgian Interregional Environment Agency, Brussels, Belgium Wouter Lefebvre, PhD,
Flemish Institute for Technological Research, Mol, Belgium Harry A. Roels, PhD,
Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Louvain Centre for Toxicology and Applied Pharmacology, Université catholique de Louvain, Brussels, Belgium Michelle Plusquin, PhD, and
Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium Tim S. Nawrot, PhD
Corresponding Author: Tim S. Nawrot, PhD, Centre for Environmental Sciences, Hasselt University, Agoralaan Gebouw D, 3590 Diepenbeek, Belgium, ([email protected]).

Author Contributions: Mr Martens and Dr Nawrot had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Study concept and design: Martens, Janssen, Nawrot.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Martens, Cox, Nawrot.

Critical revision of the manuscript for important intellectual content: Martens, Janssen, Clemente, Gasparrini, Vanpoucke, Lefebvre, Roels, Plusquin, Nawrot.

Statistical analysis: Martens, Cox, Gasparrini, Nawrot.

Obtained funding: Nawrot.

Administrative, technical, or material support: Martens, Janssen, Clemente, Lefebvre, Plusquin, Nawrot.

Study supervision: Nawrot.

Conflict of Interest Disclosures: None reported.

Additional Contributions: We thank Benoit Nemery, MD, PhD (full professor of occupational & environmental medicine at the Department of Public Health and Primary care, Leuven University, Belgium), for his critical revision of the manuscript and Immaculata De Vivo, MPH, PhD (associate professor in the Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts), for providing help by the telomere assay. They did not receive any compensation for their contribution to this work.

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Author Manuscript
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Published in final edited form as:

JAMA Pediatr. 2017 December 01; 171(12): 1160–1167. doi:10.1001/jamapediatrics.2017.3024.

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Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department of Public Health & Primary Care, Leuven University, Leuven, Belgium Abstract
Importance—Telomere length is a marker of biological aging that may provide a cellular memory of exposures to oxidative stress and inflammation. Telomere length at birth has been related to life expectancy. An association between prenatal air pollution exposure and telomere length at birth could provide new insights in the environmental influence on molecular longevity.

Objective—To assess the association of prenatal exposure to particulate matter (PM) with newborn telomere length as reflected by cord blood and placental telomere length.

Design, Setting, and Participants—In a prospective birth cohort (ENVIRONAGE [Environmental Influence on Ageing in Early Life]), a total of 730 mother-newborn pairs were recruited in Flanders, Belgium between February 2010 and December 2014, all with a singleton full-term birth (≥37 weeks of gestation). For statistical analysis, participants with full data on both cord blood and placental telomere lengths were included, resulting in a final study sample size of 641.

Exposures—Maternal residential PM2.5 (particles with an aerodynamic diameter ≤2.5 μm) exposure during pregnancy.

Main Outcomes and Measures—In the newborns, cord blood and placental tissue relative telomere length were measured. Maternal residential PM2.5 exposure during pregnancy was estimated using a high-resolution spatial-temporal interpolation method. In distributed lag models, both cord blood and placental telomere length were associated with average weekly exposures to PM2.5 during pregnancy, allowing the identification of critical sensitive exposure windows.

Results—In 641 newborns, cord blood and placental telomere length were significantly and inversely associated with PM2.5 exposure during midgestation (weeks 12-25 for cord blood and weeks 15-27 for placenta). A 5-μg/m3 increment in PM2.5 exposure during the entire pregnancy was associated with 8.8% (95% CI, −14.1% to −3.1%) shorter cord blood leukocyte telomeres and

13.2% (95% CI, −19.3% to −6.7%) shorter placental telomere length. These associations were controlled for date of delivery, gestational age, maternal body mass index, maternal age, paternal age, newborn sex, newborn ethnicity, season of delivery, parity, maternal smoking status, maternal educational level, pregnancy complications, and ambient temperature.

Conclusions and Relevance—Mothers who were exposed to higher levels of PM2.5 gave birth to newborns with shorter telomere length. The observed telomere loss in newborns by prenatal air pollution exposure indicates less buffer for postnatal influences of factors decreasing telomere length during life. Therefore, improvements in air quality may promote molecular longevity from birth onward.

Telomeres are nucleoprotein structures that cap the end of chromosomes. They can consist of several thousands of tandem-repeated TTAGGG sequences.1,2 With each cellular division, telomeres shorten. Telomere length (TL) has been associated with age-related diseases and mortality and is considered a marker of biological aging.3–8 Telomere length is also associated with environmental and lifestyle factors that influence the oxidative stress Martens et al. Page 2
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and inflammatory status in humans, such as smoking,9 obesity,10 Mediterranean diet,11 exposure to violence,12 and life stress,13 which underscores the vulnerability of telomeres to reactive oxygen species (ROS). In a 2015 update of the Global Burden of Disease study, ambient particulate matter (PM) was ranked as the sixth most leading risk factor influencing public health worldwide.14 Increased oxidative stress and inflammation are proposed as underlying mechanisms through which PM may influence human health.15,16 Exposure to air pollution during in utero life may have adverse effects on the fetus and neonate.17–19 The ability of PM air pollution to generate ROS has led to the hypothesis that telomere attrition is influenced by air pollution exposure.20 Occupational and population-based studies have described both positive and negative associations between different types of air pollution and TL in adults.21–27 In general, long-term exposure to PM25 and black carbon (BC)24,26 are associated with shorter TL in adults. Because TL is highly variable at birth, 28,29 potential determinants, such as newborn sex,28 paternal age,28 maternal prepregnancy body mass index (BMI),20 maternal stress,30 maternal educational level,31 maternal smoking during pregnancy,32 and maternal residential proximity to a major road,33 have recently been explored for explaining this phenomenon. In this regard, we hypothesized that exposure to PM air pollution during pregnancy may contribute to telomere setting at birth.

Because in utero life is believed to be a critical time window in the early programming of diseases later in life,34 unravelling the connection between prenatal air pollution exposure and TL at birth may help to gain new insights in the causes of diseases linked with telomere biological characteristics. In this study, we assessed the association between prenatal exposure to PM2.5 (particulate matter with an aerodynamic diameter ≤2.5 μm) and TL at birth.

Methods
Study Population
From the ongoing population-based prospective Environmental Influence on Ageing in Early Life (ENVIRONAGE) birth cohort study, 730 mothers with a singleton full-term birth (≥37 weeks of gestation) were selected.35 These mother-newborn pairs were recruited between February 2010 and December 2014 from noon on Fridays to 7 AM Mondays. The study protocol was approved by the ethical committees of Hasselt University and East-Limburg Hospital in Genk, Belgium, and has been carried out according to the Helsinki declaration. 36 The mother’s ability to fill out questionnaires in Dutch was a criterion for selection.

Owing to missing exposure data (n = 10), the unavailability of DNA or bad DNA quality for cord blood (n = 12) and placenta (n = 51), and too high a variability of TL measurement between triplicates of cord blood (n = 10) or placental tissue (n = 9), we obtained cord blood TL samples from 698 mother-newborn pairs and placental TL samples from 660. For statistical analysis, we used participants with full data on both cord blood and placental TLs, resulting in a final study sample size of 641.

Mean Relative TL Measurement
DNA was extracted from cord blood buffy coat and placental tissue (details on sample collection are provided in eMethods 1 in the Supplement). Mean relative TL was determined in triplicate with a previously37 described modified quantitative, real-time polymerase chain Martens et al. Page 3
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reaction (qPCR) protocol.38 For cord blood, the triplicates of the telomere runs showed a coefficient of variation (CV) of 0.68%, those of single-copy gene runs a CV of 0.41%, and those of T/S ratios a CV of 6.4%. For placental telomeres, the triplicates of the telomere runs showed a CV of 0.70%, those of the single-copy gene runs a CV of 0.45%, and those of T/S ratios a CV of 6.9%.

Exposure Assessment
Based on the mother's residential address, daily mean PM2.5 concentrations (in micrograms per cubic meter) were estimated using a high-resolution spatial-temporal interpolation method (kriging)39 in combination with a dispersion model.40,41 This interpolation method uses hourly measured PM2.5 pollution data collected at the official fixed-site monitoring stations (n = 34) and land-cover data obtained from satellite images.42 The model chain provides daily PM2.5 values on a dense, irregular receptor grid by using data both from the Belgian telemetric air-quality network and emissions from point sources and line sources. In the Flemish region of Belgium, more than 80% (R2 = 0.8) of the temporal and spatial variability was explained by this interpolation tool.43 For each week of pregnancy from the date of conception onward, a mean PM2.5 concentration was calculated using daily mean PM2.5 concentrations at the mother’s residence. In case the mother had a gestation of less than 40 weeks, exposure was set at zero for the weeks after giving birth. The number of mothers who changed address during pregnancy (69 of 641 [10.7%]) was taken into account when calculating the weekly exposures. Weekly mean ambient temperatures were calculated based on the daily mean temperatures in degrees Celsius provided by the Royal Meteorological Institute, Brussels, Belgium.

General Study Procedures
At the first antenatal visit (weeks 7-9 of pregnancy), maternal BMI was determined by calculating weight in kilograms divided by height in meters squared. The date of conception was estimated on the basis of the first day of the mother’s last menstrual period combined with the first ultrasonographic examination. After delivery, mothers provided written informed consent and completed the study questionnaires in the post-delivery ward. We collected detailed information about the mothers, fathers, and newborns from questionnaires and medical records. Parity was categorized in mothers having their first newborn, having their second newborn, or having their third or more newborn. Maternal educational level was coded “low” when mothers did not obtain any diploma, “middle” when they obtained a high school diploma, and “high” when they obtained a college or university degree. Maternal smoking status was categorized as “never smoker,” “former smoker” when the mother had quit smoking before pregnancy, and “smoker” when smoking continued during pregnancy.

Newborns were classified as white European when 2 or more grandparents were Europeans, and non-European when at least 3 grandparents were of non-European origin. The presence of pregnancy complications was defined as the experience by the mother of 1 or more of the following conditions during pregnancy: gestational diabetes, hypertension, infectious disease, preeclampsia, vaginal bleeding, and hyperthyroidism or hypothyroidism. Perinatal measures, such as birth date, newborn sex, birth weight, and Apgar score were obtained after birth.

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Statistical Analysis
We used distributed lag models (DLMs) to model the association between log10-transformed TL and mean weekly PM2.5 exposures during gestational weeks 1 to 40. A distributed lag (nonlinear) model (DLNM) is defined through a “cross-basis” function, which allows the simultaneous estimation of an (nonlinear) exposure-response association and nonlinear effects across lags, the latter termed lag-response association.44The exposure-response function was assumed to be linear and the lag structure was modeled using a natural cubic spline with 5 df, setting the knots at equally spaced values in the original lag scale (1-40 weeks). The number of knots was chosen based on the Akaike information criterion (AIC). 45 We also included a cross-basis for weekly mean temperature in the model. We used a natural cubic spline with 4 df for the temperature-TL function and a natural cubic spline with 5 df for the lag structure (with knots at equally spaced values in the original lag scale).

In addition, we accounted for a priori selected covariates that include known determinants of newborn or adult TL and variables with a potential link with PM2.5 and TL, such as date of delivery, gestational age, maternal BMI, maternal age, paternal age, newborn's sex, ethnicity, season of delivery, parity, maternal smoking status, maternal educational level, and pregnancy complications. We calculated cumulative effect estimates for the 3 trimesters of pregnancy (weeks 1-13, weeks 14- 26, and weeks 27-40) and the overall (40-week) cumulative estimate. Final estimates are presented as percentage change (with 95% CI) in TL for a 5-μg/m3 increment in PM2.5. Details on secondary analyses (ie, average exposure models, effect modification by sex, and nonlinear dose-response models) and sensitivity analyses are provided in eMethods 2 in the Supplement. All analyses were performed with the statistical software R, version 3.3.2 (R Project for Statistical Computing) using the dlnm package.46
Results
Characteristics of the Study Population
Table 1 describes the general characteristics of the study population (n = 641). The newborns, among them 318 girls (49.6%), had a mean (SD) gestational age of 39.4 (1.0) weeks and a mean (SD) birth weight of 3451 (428) g. Most (n = 567, 88.5%) of the newborns were Europeans of white ethnicity. The mean relative TL of newborns ranged from 0.51 to 1.75 in cord blood and from 0.52 to 1.89 for placental tissue. Associations of covariates with newborn TL are reported in eTable 1 in the Supplement. Mean (SD) maternal age was 29.1 (4.6) years, and mean (SD) maternal BMI was 24.3 (4.5). Among the mothers, 351 (54.8%) were primiparous and 224 (34.9%) secundiparous. Mean weekly PM2.5 exposure was 13.4 μg/m3 (5th-95th percentile, 4.3-32.5 μg/m3). eFigure 1 in the Supplement shows the contours of the annual PM2.5 exposure in the recruitment area and the places of residence of the mothers during pregnancy.

Association Between Prenatal PM2.5 Exposure and Newborn TL Scatterplots showing newborn TL in association with average PM2.5 exposure during the entire pregnancy are shown in eFigure 2 in the Supplement. Lag-specific (weekly) DLM estimates of the association between PM2.5 exposure during pregnancy and TL at birth are presented in the Figure. Cord blood as well as placental TL were inversely associated with Martens et al. Page 5
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PM2.5 exposure during midgestation: significant estimates were observed for weeks 12 to 25 in cord blood (Figure, A), with the largest negative association in week 19 and for weeks 15 to 27 in placenta (Figure, B), with the largest negative association in week 21. In contrast, a positive association between PM2.5 and cord blood TL was observed for exposure in weeks 32 to 34. The estimated overall (weeks 1-40) change in TL for a 5-μg/m3 increment in PM2.5 exposure was −8.8% (95% CI, −14.1 to −3.1%) for cord blood and −13.2% (95% CI, −19.3% to −6.7%) for placenta (Table 2). Trimester-specific cumulative estimates were only significant for the second trimester: −9.4% (95% CI, −13.1 to −5.6%) for cord blood and −7.1% (95% CI, −11.6% to −2.4%) for placental TL.

The existence of vulnerable exposure windows (ie, the hypothesis that exposure during some weeks of pregnancy is more critical than during others) was tested by comparing the main DLM model with a DLM model assuming a constant risk during the different weeks of pregnancy (likelihood ratio test on 4 df). The main DLM model provided a better fit than the constant-risk model for cord blood (AIC, -1418.4 vs -1407.0, P = .001) but not for placental telomeres (AIC, -1173.2 vs -1177.4, P = .46). The DLM estimates are corroborated by results from the average exposure models (Table 2). For instance, the change in TL for a 5- μg/m3 increment in mean PM2.5 over the entire pregnancy was -8.4% (95% CI, -13.5% to -2.9%) in cord blood and -12.5% (95% CI, -18.4% to -6.2%) in placenta. We did not observe a significant modification in the association by newborn sex for cord and placental TL, and we observed a nonlinear dose-response correlation (eTables 2 and 3 in the Supplement, respectively). Assuming constant associations within the strata of lags 1 to 10, 11 to 20, 21 to 30, and 31 to 40 (eFigure 3 in the Supplement), evidence for the positive association between cord blood TL and PM2.5 toward the end of pregnancy is less evident. Cumulative estimates from sensitivity analyses were similar to those from the main model (Table 3).

Discussion
To our knowledge, this is the first study reporting an association between PM2.5 exposure during in utero life and newborn TL. After adjustment for several covariates and potential confounders, maternal exposure to PM2.5 during pregnancy was associated with 8.8% shorter newborn cord blood and 13.2% shorter placental telomeres. By applying distributed lag models based on weekly mean PM2.5 exposures, we identified specific vulnerable periods during pregnancy. Both cord blood and placental TLs were negatively associated with PM2.5 exposure during the second trimester of pregnancy. The finding that early-life TL might forecast life span, as observed in an animal-based study of zebra finches,47 underlines the importance of the identification of early-life TL determinants. In this regard, our results may have important health consequences later in life because a shorter TL at birth indicates less buffer capacity for postnatal influence of insults (eg, inflammation on TL). Particulate air pollution may generate ROS in a direct manner via the Fenton reaction operating at the particle surface,48 or in an indirect manner via altered mitochondrial and nicotinamide adenine dinucleotide phosphate-oxidase functions or via inflammatory cell activation.49 Telomeres contain a great amount of guanine bases, which are vulnerable to ROS. Reactive oxygen species can induce DNA breakage, leading to increased telomere shortening in addition to cellular replication.50 The major route for airborne particles to enter the maternal organism is via inhalation. Ultrafine particles (UFPs) with a diameter less than 0.1 μm (<100 Martens et al. Page 6
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nm) are able to cross the airway-blood barrier, may enter the bloodstream, and are transported to different body compartments.51–53 Whether particles can cross the placental barrier is still debated because of the rather limited evidence. Nevertheless, it has been shown recently that nanoparticles up to 240 nm can cross the human placental barrier and nanoparticles up to 500 nm may enter the fetal circulation in mice.54,55 An elevated oxidative stress status in both mother and newborn may be a potential explanation for our findings concerning PM2.5 exposure observed in the present study. Earlier studies present positive associations between air pollution exposure and placental tissue nitrosative stress56 and mitochondrial oxidative stress.57 We identified the mid-pregnancy period as a critical time window for the association of PM2.5 exposure with newborn TL. This finding is in agreement with the development of the placental barrier and maternal-fetal circulation. In the first months of pregnancy, the placental barrier remains thick with no perfusion but becomes thinner during the course of pregnancy concomitantly with increased fetal capillary development until week 10, which from then onward will facilitate an enhanced maternal- fetal exchange of nutrients and waste products.58 Exposure to PM2.5 late in pregnancy (from weeks 32-34) is associated with longer telomeres in cord blood, although evidence is not conclusive. This finding may suggest the presence of a potential compensatory or overcompensatory mechanism in response to air pollution exposure in cord that is absent in placenta. Positive associations between leukocyte TL and recent exposure to air pollution have been observed previously in adults.21,22,25 An increase of telomerase activity in lymphocytes and a clonal expansion of subpopulations of lymphocytes with longer telomeres following acute exposure have been suggested as potential underlying mechanisms.21,59,60 Telomere length as assessed in the present study is a result of the combination between shortening and elongating processes prior to the telomere assessment time point. However, owing to the cumulative burden of oxidative stress during the entire pregnancy, overall newborn TL was inversely associated with prenatal exposure to air pollution. The stronger overall influence of PM on placental telomeres compared with cord blood may be due to this potential compensatory mechanism in cord blood, as we observed both positive and negative estimates for PM2.5 exposure and cord blood TL during pregnancy, whereas all estimates were negative for placental TL.

Strengths and Limitations
Our study has several strengths. First, we have a large sample size of newborns with matching cord blood and placental tissue to study TL in relation to PM2.5 air pollution exposure. Second, we used high-resolution exposure estimates based on the home addresses of the mothers, and we integrated daily concentrations to estimate weekly mean exposure during pregnancy. Compared with the more conventional approach of averaging exposures over relatively large time windows (trimesters or the entire pregnancy), the use of DLM allowed a more detailed investigation of prenatal exposure windows and enabled the identification of midpregnancy as a critical period for the association of PM2.5 with TL in cord blood as well as placenta. Third, our findings are generalizable because our study population is representative of the gestational segment of the population at large.35 However owing to spatial variations in PM2.5 concentrations, differences in exposure may exist, as our population was recruited in a relatively small area. Our study should also be Martens et al. Page 7
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interpreted within the context of its potential limitations. Our results are based on exposure at the maternal residence, and potential misclassification may be present because we could not account for other exposure sources that contribute to personal exposure, such as exposure during a commute, at work, and elsewhere. However, proxies of exposure, such as residential proximity to major roads, have been shown recently to be associated with internal exposure to nanosized particles, reflecting exposure to black carbon.61 The assessment of TL at birth represents a specific snapshot in the gestational period. We were not able to evaluate telomere dynamics throughout the entire pregnancy period, and, in view of our results, the role of telomerase needs further evaluation. Parental TL may be a determinant of the initial telomere length setting of the next generation.28 Because parents exposed to PM2.5 may have shorter telomeres, the association between PM2.5 exposure and newborn TL may be mediated by parental TLs. Unfortunately, this mediation could not be evaluated in the ENVIRONAGE study because data on parental TLs were not available.

Conclusions
To our knowledge, this study is the first to report an association between prenatal exposure to PM2.5 air pollution and TL at birth, both in cord blood and placental tissue. We theorize that biological aging is associated with PM2.5 air pollution exposure, even before birth, which may underlie potential adverse health consequences later in life. This study adds to the growing body of evidence that even relatively low levels of prenatal exposure to air pollution contributes to fetal programming at the molecular level and more precisely at the level of telomere biological features. Adequate reduction of environmental fine-particle air pollution levels may promote longevity as from birth onwards and may enhance overall quality of life. Prospective follow-up studies are needed to further elucidate the outcome of PM2.5-linked telomere shortening at birth in relation to pediatric and adult health and disease later in life.

Supplementary Material
Refer to Web version on PubMed Central for supplementary material.

Funding/Support
The ENVIRONAGE birth cohort is supported by grant ERC-StG310898 from the EU Program "Ideas" and by the grant FWO, G073315N from the Flemish Scientific Fund. Dr Cox is a postdoctoral fellow of the Flemish Scientific Fund supported by grant 12Q0517N. Dr Gasparrini's contribution was supported by grant MR/M022625/1 from the Medical Research Council UK.

Role of the Funder/Sponsor: The funding sources had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.

References

1. Blackburn EH. Structure and function of telomeres. Nature. 1991; 350(6319):569–573. [PubMed:
1708110]

2. O’Sullivan RJ, Karlseder J. Telomeres: protecting chromosomes against genome instability. Nat Rev Mol Cell Biol. 2010; 11(3):171–181. [PubMed: 20125188]
Martens et al. Page 8
JAMA Pediatr. Author manuscript; available in PMC 2018 November 13.

Europe PMC Funders Author Manuscripts
Europe PMC Funders Author Manuscripts

3. Benetos A, Okuda K, Lajemi M, et al. Telomere length as an indicator of biological aging: the gender effect and relation with pulse pressure and pulse wave velocity. Hypertension. 2001; 37(2 pt 2):381–385. [PubMed: 11230304]

4. Cawthon RM, Smith KR, O’Brien E, Sivatchenko A, Kerber RA. Association between telomere length in blood and mortality in people aged 60 years or older. Lancet. 2003; 361(9355):393–395. [PubMed: 12573379]

5. Demissie S, Levy D, Benjamin EJ, et al. Insulin resistance, oxidative stress, hypertension, and leukocyte telomere length in men from the Framingham Heart Study. Aging Cell. 2006; 5(4):325– 330. [PubMed: 16913878]

6. Haycock PC, Heydon EE, Kaptoge S, Butterworth AS, Thompson A, Willeit P. Leucocyte telomere length and risk of cardiovascular disease: systematic review and meta-analysis. BMJ. 2014; 349:g4227. [PubMed: 25006006]

7. Hunt SC, Kimura M, Hopkins PN, et al. Leukocyte telomere length and coronary artery calcium.

Am J Cardiol. 2015; 116(2):214–218. [PubMed: 25960381]

8. Willeit P, Raschenberger J, Heydon EE, et al. Leucocyte telomere length and risk of type 2 diabetes mellitus: new prospective cohort study and literature-based meta-analysis. PLoS One. 2014; 9(11):e112483. [PubMed: 25390655]

9. Nawrot TS, Staessen JA, Holvoet P, et al. Telomere length and its associations with oxidized-LDL, carotid artery distensibility and smoking. Front Biosci (Elite Ed). 2010; 2:1164–1168. [PubMed:
20515788]

10. Müezzinler A, Zaineddin AK, Brenner H. Body mass index and leukocyte telomere length in adults: a systematic review and meta-analysis. Obes Rev. 2014; 15(3):192–201. [PubMed:
24165286]

11. Crous-Bou M, Fung TT, Prescott J, et al. Mediterranean diet and telomere length in Nurses’ Health Study: population based cohort study. BMJ. 2014; 349:g6674. [PubMed: 25467028]

12. Theall KP, Shirtcliff EA, Dismukes AR, Wallace M, Drury SS. Association between neighborhood violence and biological stress in children. JAMA Pediatr. 2017; 171(1):53–60. [PubMed:
27842189]

13. Epel ES, Blackburn EH, Lin J, et al. Accelerated telomere shortening in response to life stress.

Proc Natl Acad Sci U S A. 2004; 101(49):17312–17315. [PubMed: 15574496]

14. GBD 2015 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet. 2016; 388(10053):1659–1724. [PubMed: 27733284]

15. Kelly FJ. Oxidative stress: its role in air pollution and adverse health effects. Occup Environ Med. 2003; 60(8):612–616. [PubMed: 12883027]

16. Schins RP, Lightbody JH, Borm PJ, Shi T, Donaldson K, Stone V . Inflammatory effects of coarse and fine particulate matter in relation to chemical and biological constituents. Toxicol Appl Pharmacol. 2004; 195(1):1–11. [PubMed: 14962500]

17. Glinianaia SV , Rankin J, Bell R, Pless-Mulloli T, Howel D. Particulate air pollution and fetal health: a systematic review of the epidemiologic evidence. Epidemiology. 2004; 15(1):36–45. [PubMed: 14712145]

18. Pedersen M, Giorgis-Allemand L, Bernard C, et al. Ambient air pollution and low birthweight: a European cohort study (ESCAPE). Lancet Respir Med. 2013; 1(9):695–704. [PubMed: 24429273]

19. Winckelmans E, Cox B, Martens E, Fierens F, Nemery B, Nawrot TS. Fetal growth and maternal exposure to particulate air pollution: more marked effects at lower exposure and modification by gestational duration. Environ Res. 2015; 140:611–618. [PubMed: 26056995]

20. Martens DS, Nawrot TS. Air pollution stress and the aging phenotype: the telomere connection.

Curr Environ Health Rep. 2016; 3(3):258–269. [PubMed: 27357566]

21. Dioni L, Hoxha M, Nordio F, et al. Effects of short-term exposure to inhalable particulate matter on telomere length, telomerase expression, and telomerase methylation in steel workers. Environ Health Perspect. 2011; 119(5):622–627. [PubMed: 21169126] Martens et al. Page 9
JAMA Pediatr. Author manuscript; available in PMC 2018 November 13.

Europe PMC Funders Author Manuscripts
Europe PMC Funders Author Manuscripts

22. Hou L, Wang S, Dou C, et al. Air pollution exposure and telomere length in highly exposed subjects in Beijing, China: a repeated-measure study. Environ Int. 2012; 48:71–77. [PubMed:
22871507]

23. Hoxha M, Dioni L, Bonzini M, et al. Association between leukocyte telomere shortening and exposure to traffic pollution: a cross-sectional study on traffic officers and indoor office workers.

Environ Health. 2009; 8:41. [PubMed: 19772576]

24. McCracken J, Baccarelli A, Hoxha M, et al. Annual ambient black carbon associated with shorter telomeres in elderly men: Veterans Affairs Normative Aging Study. Environ Health Perspect. 2010; 118(11):1564–1570. [PubMed: 21465749]

25. Pieters N, Janssen BG, Dewitte H, et al. Biomolecular markers within the core axis of aging and particulate air pollution exposure in the elderly: a cross-sectional study. Environ Health Perspect. 2016; 124(7):943–950. [PubMed: 26672058]

26. Ward-Caviness CK, Nwanaji-Enwerem JC, Wolf K, et al. Long-term exposure to air pollution is associated with biological aging. Oncotarget. 2016; 7(46):74510–74525. [PubMed: 27793020]

27. Wong JY , De Vivo I, Lin X, Christiani DC. Cumulative PM(2.5) exposure and telomere length in workers exposed to welding fumes. J Toxicol Environ Health A. 2014; 77(8):441–455. [PubMed:
24627998]

28. Factor-Litvak P, Susser E, Kezios K, et al. Leukocyte telomere length in newborns: implications for the role of telomeres in human disease. Pediatrics. 2016; 137(4):e20153927. [PubMed: 26969272]

29. Okuda K, Bardeguez A, Gardner JP, et al. Telomere length in the newborn. Pediatr Res. 2002; 52(3):377–381. [PubMed: 12193671]

30. Entringer S, Epel ES, Lin J, et al. Maternal psychosocial stress during pregnancy is associated with newborn leukocyte telomere length. Am J Obstet Gynecol. 2013; 208(2):134.e1–134.e7, e17. [PubMed: 23200710]

31. Wojcicki JM, Olveda R, Heyman MB, et al. Cord blood telomere length in Latino infants: relation with maternal education and infant sex. J Perinatol. 2016; 36(3):235–241. [PubMed: 26633142]

32. Salihu HM, Pradhan A, King L, et al. Impact of intrauterine tobacco exposure on fetal telomere length. Am J Obstet Gynecol. 2015; 212(2):205.e1–205.e8, e8. [PubMed: 25173189]

33. Bijnens E, Zeegers MP, Gielen M, et al. Lower placental telomere length may be attributed to maternal residential traffic exposure; a twin study. Environ Int. 2015; 79:1–7. [PubMed:
25756235]

34. Barker DJ. The fetal and infant origins of adult disease. BMJ. 1990; 301(6761):1111. [PubMed:
2252919]

35. Janssen BG, Madlhoum N, Gyselaers W, et al. Cohort Profile: The ENVIRonmental influence ON early AGEing (ENVIRONAGE): a birth cohort study. Int J Epidemiol.

36. World Medical Association. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA. 2013; 310(20):2191–2194. [PubMed:
24141714]

37. Martens DS, Plusquin M, Gyselaers W, De Vivo I, Nawrot TS. Maternal pre-pregnancy body mass index and newborn telomere length. BMC Med. 2016; 14(1):148. [PubMed: 27751173]

38. Cawthon RM. Telomere length measurement by a novel monochrome multiplex quantitative PCR method. Nucleic Acids Res. 2009; 37(3):e21. [PubMed: 19129229]

39. Janssen S, Dumont G, Fierens F, Mensink C. Spatial interpolation of air pollution measurements using CORINE land cover data. Atmos Environ. 2008; 42(20):4884–4903.

40. Lefebvre W, Degrawe B, Beckx C, et al. Presentation and evaluation of an integrated model chain to respond to traffic- and health-related policy questions. Environ Model Softw. 2013; 40(0):160– 170.

41. Lefebvre W, Vercauteren J, Schrooten L, et al. Validation of the MIMOSA-AURORA-IFDM model chain for policy support: modeling concentrations of elemental carbon in Flanders. Atmos Environ. 2011; 45(37):6705–6713.

42. European Environmental Agency. Corine land cover. [Accessed January 30, 2017] https:// www.eea.europa.eu/publications/COR0-landcover.

43. Maiheu B, Veldeman N, Viaene P, et al. Identifying the best available large-scale concentration maps for air quality in Belgium [in Dutch]. [Accessed January 30, 2017] Published December Martens et al. Page 10
JAMA Pediatr. Author manuscript; available in PMC 2018 November 13.

Europe PMC Funders Author Manuscripts
Europe PMC Funders Author Manuscripts
2012 http://www.milieurapport.be/Upload/main/0_onderzoeksrapporten/2013/ Eindrapport_Concentratiekaarten_29_01_2013_TW.pdf.

44. Gasparrini A. Modeling exposure-lag-response associations with distributed lag non-linear models.

Stat Med. 2014; 33(5):881–899. [PubMed: 24027094]

45. Gasparrini A, Armstrong B, Kenward MG. Distributed lag non-linear models. Stat Med. 2010; 29(21):2224–2234. [PubMed: 20812303]

46. Gasparrini A. Distributed lag linear and non-linear models in R: the package dlnm. J Stat Softw. 2011; 43(8):1–20.

47. Heidinger BJ, Blount JD, Boner W, Griffiths K, Metcalfe NB, Monaghan P. Telomere length in early life predicts lifespan. Proc Natl Acad Sci U S A. 2012; 109(5):1743–1748. [PubMed:
22232671]

48. Valavanidis A, Fiotakis K, Bakeas E, Vlahogianni T. Electron paramagnetic resonance study of the generation of reactive oxygen species catalysed by transition metals and quinoid redox cycling by inhalable ambient particulate matter. Redox Rep. 2005; 10(1):37–51. [PubMed: 15829110]

49. Risom L, Møller P, Loft S. Oxidative stress-induced DNA damage by particulate air pollution.

Mutat Res. 2005; 592(1–2):119–137. [PubMed: 16085126]

50. Kawanishi S, Oikawa S. Mechanism of telomere shortening by oxidative stress. Ann N Y Acad Sci. 2004; 1019:278–284. [PubMed: 15247029]

51. Geiser M, Rothen-Rutishauser B, Kapp N, et al. Ultrafine particles cross cellular membranes by nonphagocytic mechanisms in lungs and in cultured cells. Environ Health Perspect. 2005; 113(11):
1555–1560. [PubMed: 16263511]

52. Ferin J. Pulmonary retention and clearance of particles. Toxicol Lett. 1994; 72(1–3):121–125. [PubMed: 8202922]

53. Oberdörster G, Sharp Z, Atudorei V , et al. Translocation of inhaled ultrafine particles to the brain.

Inhal Toxicol. 2004; 16(6–7):437–445. [PubMed: 15204759]

54. Huang JP, Hsieh PC, Chen CY , et al. Nanoparticles can cross mouse placenta and induce trophoblast apoptosis. Placenta. 2015; 36(12):1433–1441. [PubMed: 26526105]

55. Wick P, Malek A, Manser P, et al. Barrier capacity of human placenta for nanosized materials.

Environ Health Perspect. 2010; 118(3):432–436. [PubMed: 20064770]

56. Saenen ND, Vrijens K, Janssen BG, et al. Placental nitrosative stress and exposure to ambient air pollution during gestation: a population study. Am J Epidemiol. 2016; 184(6):442–449. [PubMed:
27601048]

57. Grevendonk L, Janssen BG, Vanpoucke C, et al. Mitochondrial oxidative DNA damage and exposure to particulate air pollution in mother-newborn pairs. Environ Health. 2016; 15:10. [PubMed: 26792633]

58. Proietti E, Röösli M, Frey U, Latzin P. Air pollution during pregnancy and neonatal outcome: a review. J Aerosol Med Pulm Drug Deliv. 2013; 26(1):9–23. [PubMed: 22856675]

59. Hodes RJ, Hathcock KS, Weng NP. Telomeres in T and B cells. Nat Rev Immunol. 2002; 2(9):
699–706. [PubMed: 12209138]

60. Weng NP, Levine BL, June CH, Hodes RJ. Human naive and memory T lymphocytes differ in telomeric length and replicative potential. Proc Natl Acad Sci USA. 1995; 92(24):11091–11094. [PubMed: 7479943]

61. Saenen ND, Bové H, Steuwe C, et al. Children's Urinary Environmental Carbon Load: A Novel Marker Reflecting Residential Ambient Air Pollution Exposure? Am J Respir Crit Care Med. 2017; [published online July 7, 2017]. doi: 10.1164/rccm.201704-0797OC Martens et al. Page 11
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Key Points
Question
Is telomere length at birth (a marker of biological aging) influenced by exposure to particulate matter air pollution during in utero life?
Findings
In this birth cohort study of 641 mother-newborn pairs, mothers with higher residential exposure to PM2.5 (particulate matter with an aerodynamic diameter ≤2.5 μm air pollution) gave birth to newborns with significantly lower telomere length that could not be explained by other factors including socioeconomic class. For a 5-μg/m3 increase in residential PM2.5 exposure during pregnancy, cord blood telomeres were 9% shorter and placental telomeres 13% shorter.

Meaning
Improved air quality may promote molecular longevity from birth onward.

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Figure. Cord Blood and Placental Telomere Length (TL) in Association With Week-Specific Prenatal PM2.5. Exposure During Pregnancy
Week-specific estimates provided as a percentage change in mean relative TL (with 95% CI) for a 5-μg/m3 increment of PM2.5 air pollution exposure. Models were adjusted for date of delivery, gestational age, maternal body mass index, maternal age, paternal age, newborn sex, newborn ethnicity, season of delivery, parity, maternal smoking status, maternal educational level, pregnancy complications, and ambient temperature. PM2.5 indicates particulate matter with an aerodynamic diameter of 2.5 μm or less.

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Table 1
Characteristics of 641 Mother-Newborn Pairs
Characteristic No. (%)
Newborns
Birth weight, mean (SD), g 3451 (428)
Females 318 (49.6)
White European 567 (88.5)
Gestational age, wk
37 33 (5.1)
38 87 (13.6)
39 196 (30.6)
40 242 (37.8)
41 83 (12.9)
Season of birth
Winter 163 (25.4)
Spring 140 (21.8)
Summer 153 (23.9)
Autumn 185 (28.9)
Apgar score 5 min after birth
7 11 (1.7)
8 45 (7.0)
9 187 (29.2)
10 398 (62.1)
Mothers
Age, mean (SD), y 29.1 (4.6)
BMI, mean (SD) 24.3 (4.5)
Educational levela
Low 71 (11.1)
Middle 245 (38.2)
High 325 (50.7)
Smoking statusb
Never smoker 401 (62.6)
Former smoker 159 (24.8)
Current smoker 81 (12.6)
Pregnancy complicationsc 73 (11.4)
Cesarean delivery 24 (3.7)
Parity
1 351 (54.8)
2 224 (34.9)
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Characteristic No. (%)
≥3 66 (10.3)
Weekly mean PM2.5 exposure, μg/m3d 13.4 (4.3 to 32.5) Weekly mean temperature, °Cd 10.7 (−0.2 to 19.4)
Fathers
Age, mean (SD), y 31.7 (5.3)
Abbreviations: BMI, body mass index (calculated as weight in kilograms divided by height in meters squared); PM2.5, particulate matter with an aerodynamic diameter of 2.5 μm or less.
aMaternal educational level was coded "low" when mothers did not obtain any diploma, "middle" when they obtained a high school diploma, and "high" when they obtained a college or university degree. bMaternal smoking status was categorized as "never smoker," "former smoker" when quitted smoking before pregnancy, and "smoker" when smoking continued during pregnancy.
cPregnancy complications was defined as the experience by the mother of one or more of the following conditions during pregnancy: gestational diabetes, hypertension, infectious disease, pre-eclampsia, vaginal bleeding, and hyperthyroidism or hypothyroidism. dPresented as mean (5th to 95th percentile) and for the actual pregnancy duration.

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Table 2
Association Between Newborn Telomere Length and Prenatal PM2.5 Exposurea Percentage Change (95% CI)
Exposure Window Distributed Lag Model Average Exposure Model Cord Blood (n = 641)
Overall (1-40 wk)b −8.8 (−14.1 to −3.1) −8.4 (−13.5 to −2.9) Trimester 1 −2.3 (−6.1 to 1.7) −0.8 (−4.7 to 3.2)
Trimester 2 −9.4 (−13.1 to −5.6) −9.8 (−13.3 to −6.2) Trimester 3 3.1 (−1.8 to 8.3) 2.6 (−1.4 to 6.8) Placental Tissue (n = 641)
Overall (1-40 wk)b −13.2 (−19.3 to −6.7) −12.5 (−18.4 to −6.2) Trimester 1 −1.4 (−6.0 to 3.5) −0.8 (−5.5 to 4.1)
Trimester 2 −7.1 (−11.6 to −2.4) −7.4 (−11.7 to −2.9) Trimester 3 −5.3 (−10.8 to 0.5) −4.5 (−9.0 to 0.2)
Abbreviations: BMI, body mass index; PM2.5, particulate matter with an aerodynamic diameter of 2.5 μm or less. aEstimates provided as a percentage change in mean relative telomere length for a 5-μg/m3 increment in PM2.5, estimated by distributed lag models using weekly mean exposures, and by mean PM2.5 during specific exposure windows (average exposure model). bIn the average exposure models, the overall exposure window of 1 to 40 weeks is the actual pregnancy duration (ranging from 37-41 weeks).

Models were adjusted for date of delivery, gestational age, maternal BMI, maternal age, paternal age, newborn sex, newborn ethnicity, season of delivery, parity, maternal smoking status, maternal educational level, pregnancy complications, and ambient temperature.

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Table 3
Sensitivity Analysesa
Percentage Change (95% CI)
Model No. Cord Blood Telomere Length Placental Telomere Length Main model 641 −8.8 (−14.1 to −3.1) −13.2 (−19.3 to −6.7) Unconstrained lag structure 641 −8.4 (−14.0 to −2.5) −14.0 (−20.2 to −7.3) Additional adjustment for month of delivery 641 −9.2 (−14.6 to −3.4) −12.3 (−18.6 to −5.6) Excluding non-European mothers 567 −8.7 (−14.4 to −2.6) −11.9 (−18.6 to −4.8) Excluding mothers with low educational level 570 −10.0 (−15.4 to −4.1) −13.4 (−19.8 to −6.4) Excluding current and former smokers 401 −12.1 (−18.8 to −4.9) −16.2 (−23.5 to −8.2) Excluding mothers with pregnancy complications 568 −9.1 (−14.7 to −3.2) −14.3 (−20.7 to −7.4) Excluding cesarean deliveries 617 −8.7 (−14.1 to −2.9) −12.8 (−19.0 to −6.1) Excluding all of the above 281 −14.0 (−21.9 to −5.2) −13.3 (−22.3 to −3.2) Abbreviations: BMI, body mass index; PM2.5, particulate matter with an aerodynamic diameter of 2.5 μm or less. aEstimates provided as a cumulative (weeks 1-40) percentage change in mean relative telomere length for a 5-μg/m3 increment in PM2.5. Models were adjusted for date of delivery, gestational age, maternal BMI, maternal age, paternal age, newborn sex, newborn ethnicity, season of delivery, parity, maternal smoking status, maternal educational level, pregnancy complications, and ambient temperature. The season of delivery was removed from the model adjusting for month of delivery.

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