A Framework for Assessing the Habitat Correlates of Spatially Explicit Population Trends DOI Creative Commons
Andrew N. Stillman, Courtney L. Davis, Kylee D. Dunham

et al.

Diversity and Distributions, Journal Year: 2025, Volume and Issue: 31(5)

Published: May 1, 2025

ABSTRACT Aim Halting widespread biodiversity loss will require detailed information on species' trends and the habitat conditions correlated with population declines. However, constraints conventional monitoring programs commonplace approaches for trend estimation can make it difficult to obtain such across ranges. Here, we demonstrate how recent developments in machine learning model interpretation, combined data sources derived from participatory science, enable landscape‐scale inferences correlates of broad spatial extents. Location Worldwide, a case study western United States. Methods We used interpretable understand relationships between land cover spatially explicit bird trends. Using three passerine birds U.S. eBird data, explore potential impacts simulated modification while evaluating co‐benefits among species. Results Our analysis revealed complex, non‐linear variables as well substantial interspecific variation those relationships. Areas most positive overlapped two species, but these changes had little effect third Main Conclusions This framework help conservation practitioners identify important species also highlighting areas where modifications landscape could bring biggest benefits. The is transferable hundreds worldwide estimates, allowing inference multiple at scales that are tractable management combat

Language: Английский

Can ecological networks established through interactions of multi-species conservation priorities maintain biodiversity and contain urban development? DOI
Qiwei Ma, Yu Li, Lihua Xu

et al.

Journal for Nature Conservation, Journal Year: 2025, Volume and Issue: unknown, P. 126853 - 126853

Published: Jan. 1, 2025

Language: Английский

Citations

1
Effect of primate protection on threatened and endemic vertebrates, plants, ecosystem services, and future climate refugia DOI Open Access
Yin Yang, Chen Li, Yihao Fang

et al.

Conservation Biology, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Abstract Primates, 69% of which are threatened with extinction, the third most specious order mammals. We used primates as model taxa to examine umbrella effects on ecosystem services and protection other vertebrates seed plants in Yunnan Province, China. identified areas conservation priority for 16 primate species determined endemic terrestrial would be protected through a program targeting conservation. Areas high richness were spatially correlated distribution 601 4010 plants. Primate was positively carbon sequestration enhanced water soil coincided future climate refugia. If 30% Yunnan's naturally forested regions designated areas, then 52.3% province's average annual sequestration, 51.7% its resources, 54.1% 30–33% climate‐stable protected. Protecting uniquely contributes maintaining biodiversity that promote stability. Although we focused single mammalian region, our approach evaluation has broad applicability can help achieve multiple targets Kunming–Montreal Global Biodiversity Framework.

Language: Английский

Citations

1
Impacts of umbrella species management on non‐target species DOI Creative Commons
Elise C. Zarri, David E. Naugle, Thomas E. Martin

et al.

Journal of Applied Ecology, Journal Year: 2024, Volume and Issue: 61(6), P. 1411 - 1425

Published: April 17, 2024

Abstract Restoration of anthropogenically altered habitats has often focused on management for umbrella species—vulnerable species whose conservation is thought to benefit co‐occurring species. Woody plant encroachment a form habitat alteration occurring in grasslands and shrublands around the globe, driven by anthropogenic shifts disturbance regimes. Conifer pervasive threat historically widespread sagebrush communities, as trees outcompete can negatively affect sagebrush‐obligate animal Degradation loss communities western North America have been associated with drastic declines wildlife populations. The imperilled Greater Sage‐Grouse assumed be an community, so restoration, including removal encroaching conifers, commonly targeted towards sage‐grouse. How this action affects demography other than sage‐grouse largely unknown. We quantified demographic effects landscape‐level restoration through conifer assemblage sagebrush‐obligate, shrubland generalist woodland‐associated songbirds. compared songbird density reproduction between adjacent restored uncut conifer‐encroached plots southwest Montana. found monitored nests record nest fate number offspring produced. benefits areas. Sage Thrashers colonized Brewer's Sparrow was 39% higher success 63% treatments, resulting 119% fledgling production Vesper Sparrows, generalist, 308% 660% Another White‐crowned Sparrow, experienced 55% lower 37% Two species, Chipping Sparrows Dark‐eyed Juncos, were nearly extirpated following removal. A third woodland associate, Green‐tailed Towhee, 57% 69% non‐removal Synthesis applications . Our study demonstrates while highlighting that may sensitive. Umbrella similar associations, but analyses all impacted are essential effective conservation.

Language: Английский

Citations

5
Defend and Grow the Core for Birds: How a Sagebrush Conservation Strategy Benefits Rangeland Birds DOI Creative Commons
Alexander V. Kumar, Jason D. Tack, Kevin E. Doherty

et al.

Rangeland Ecology & Management, Journal Year: 2024, Volume and Issue: 97, P. 160 - 168

Published: Oct. 15, 2024

Language: Английский

Citations

5
A Framework for Assessing the Habitat Correlates of Spatially Explicit Population Trends DOI Creative Commons
Andrew N. Stillman, Courtney L. Davis, Kylee D. Dunham

et al.

Diversity and Distributions, Journal Year: 2025, Volume and Issue: 31(5)

Published: May 1, 2025

ABSTRACT Aim Halting widespread biodiversity loss will require detailed information on species' trends and the habitat conditions correlated with population declines. However, constraints conventional monitoring programs commonplace approaches for trend estimation can make it difficult to obtain such across ranges. Here, we demonstrate how recent developments in machine learning model interpretation, combined data sources derived from participatory science, enable landscape‐scale inferences correlates of broad spatial extents. Location Worldwide, a case study western United States. Methods We used interpretable understand relationships between land cover spatially explicit bird trends. Using three passerine birds U.S. eBird data, explore potential impacts simulated modification while evaluating co‐benefits among species. Results Our analysis revealed complex, non‐linear variables as well substantial interspecific variation those relationships. Areas most positive overlapped two species, but these changes had little effect third Main Conclusions This framework help conservation practitioners identify important species also highlighting areas where modifications landscape could bring biggest benefits. The is transferable hundreds worldwide estimates, allowing inference multiple at scales that are tractable management combat

Language: Английский

Citations

0