A comparative framework to develop transferable species distribution models for animal telemetry data DOI Creative Commons
Joshua A. Cullen, Camila Domit, Margaret M. Lamont

et al.

Ecosphere, Journal Year: 2024, Volume and Issue: 15(12)

Published: Dec. 1, 2024

Abstract Species distribution models (SDMs) have become increasingly popular for making ecological inferences, as well predictions to inform conservation and management. In predictive modeling, practitioners often use correlative SDMs that only evaluate a single spatial scale do not account differences in life stages. These modeling decisions may limit the performance of beyond study region or sampling period. Given increasing desire develop transferable SDMs, robust framework is necessary can known challenges model transferability. Here, we propose comparative which was tested using satellite telemetry data from green turtles ( Chelonia mydas ). This characterized by set steps comparing among different based on (1) algorithm (e.g., generalized linear vs. Gaussian process regression) formulation hybrid model), (2) scale, (3) accounting stage. were fitted resource selection functions trained Gulf Mexico with bathymetric depth, net primary productivity, sea surface temperature covariates. Independent validation datasets Brazil Qatar used assess A SDM hierarchical regression (HGPR) exhibited greater transferability than HGPR, forms models. Additionally, evaluated habitat at finest did stage proved be most this study. The presented here applied variety species, presence‐only, presence‐absence, mark‐recapture), frameworks functions, step occupancy models) generate species–habitat associations. We expect resulting will more informative management tools accurately climate change impacts wide array taxa.

Language: Английский

Individual variation in home‐range across an ocean basin and links to habitat quality and management DOI Creative Commons
Graeme C. Hays, Alex Rattray, Takahiro Shimada

et al.

Journal of Applied Ecology, Journal Year: 2024, Volume and Issue: 61(4), P. 658 - 668

Published: Feb. 5, 2024

Abstract Overgrazing may lead to management intervention (e.g. culling, animal relocation) try and prevent habitat destruction. leading seagrass meadow collapse has been recorded for green turtles ( Chelonia mydas ) at several sites around the world, although generality of this phenomenon need widespread destruction is unknown. Where have degraded meadows, home‐ranges are expected be large will relocate as meadows destroyed. We used high resolution Fastloc GPS tracking n = 32 individuals, mean 171 days per individual, SD 99) record home‐range adult foraging spanning 4523 km longitude across Western Indian Ocean. Contrary predictions if overgrazing was occurring, we small rarely relocated their daytime areas. Based on all locations received, 50% 95% utilisation distributions (UD50 UD95) were 2.4 2 (SD 2.7) 15.4 17.7). Space use often particularly night, when rest, averaging 11% overall space with night‐time UD50 UD95 being 0.15 0.1) 1.1 0.8), respectively. Variation in individuals not influenced by data volume (number day, duration tracking) or size (carapace length) but increased significantly distance between centre day night areas increased, that had a larger daily commute home‐ranges. Synthesis applications . Comparisons estimates from 16 previous studies, showed those among smallest globally. These results suggest despite population increases major nesting Ocean, generally destroying which they forage so needed. In way, our work illustrates how movement inform decisions turtles. Further targeted ecosystem health could help confirm suggestion.

Language: Английский

Citations

6

Using cumulative human impact assessment to support adaptive management of the threatened species’ habitats in the Yangtze River Estuary DOI Creative Commons
Wenhui Yang,

Ziyu Zhu,

Le Dong

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 54, P. e03164 - e03164

Published: Aug. 28, 2024

The conflict between multiple functions of human use and habitat conservation represents an intractable challenge for environmental management. While numerous studies on marine prioritize cumulative impact assessments (CIA) to tackle this issue, estuaries — despite their immense significance amidst intense activities remain overlooked. Taking the Yangtze River Estuary (YRE) as case study area, it is one most intensely human-utilized globally, yet serves a critical migratory corridor endangered Chinese sturgeon (Acipenser sinensis).We employed ecological indicators quantitative modeling assess suitability anthropogenic impacts species in YRE. results demonstrated that suitable distribution varied juvenile was concentrated Chongming Dongtan North Channel. Ship density, submarine optical cables, smooth cord grass invasion were main factors impacting sturgeon's migrating Moreover, existing habitats at risk, with 36.24 % potential 56.60 high areas requiring enhanced protection. Adaptive management strategies proposed, tailored spatial protection needs across dynamic demands aquatic species. Our spatially explicit indicator-based findings provide key scientific support enlarging protected implementing adaptive balance sustainable highly utilized ecosystem.

Language: Английский

Citations

1

Satellite telemetry reveals high-use internesting areas and international foraging extent for loggerhead turtles tagged in southeast Florida, USA DOI Creative Commons

G A Goodwin,

KM Hart,

A. Murray Evans

et al.

Endangered Species Research, Journal Year: 2024, Volume and Issue: 54, P. 245 - 259

Published: May 16, 2024

Developing conservation strategies for highly migratory marine species relies on understanding their spatial distributions. Nesting populations of female loggerhead ( Caretta caretta ) turtles typically travel from widely dispersed foraging areas and make use common internesting between nesting events. Protection these is essential to the this species. In study, we used satellite tracking behavioral switching state-space movement modeling examine use-areas, migration patterns, area distribution a previously uninvestigated population in southeast Florida. While spent much period close site, only 17.4% identified within boundaries currently designated under US Endangered Species Act as critical ‘nearshore reproductive habitat’. Additionally, 72% study (17 21) that were tracked grounds have home ranges outside USA, with 62% (n = 13) The Bahamas. Considering proximity large human center largely international distribution, could benefit expanding federally habitat, along developing collaborative USA

Language: Английский

Citations

0

Regional foraging areas of green turtles (Chelonia mydas) nesting at Aldabra Atoll: insights from stable isotopes and satellite telemetry DOI Creative Commons
Cheryl Sanchez, Paolo Casale, Nancy Bunbury

et al.

Biodiversity and Conservation, Journal Year: 2024, Volume and Issue: 33(10), P. 2975 - 2993

Published: June 29, 2024

Abstract Sea turtles spend the majority of their lives at foraging grounds. These areas are important for population persistence but generally occur in coastal habitats, which under increasing human pressure. Identifying key is therefore an step to understanding critical sea turtle and threats. Isotope ratios ( δ 15 N, 13 C) from skin tissues 90 green Chelonia mydas ) nesting regionally rookery Aldabra Atoll, Seychelles, were analyzed with samples collected during two periods: 51 March September 2021, 39 January April 2022. analyses complemented by nine satellite tracks identify areas. Hierarchical clustering discriminant function analysis identified main areas: East African coast (Tanzania Somalia) northern Madagascar. Isotopic values indicated that forage one these areas, slightly more visiting coast. Geographical isotopic patterns not found latitudinally, suggesting a potential limit this approach Western Indian Ocean. However, we longitudinal variation C N few studies have reported. This first study region combine telemetry stable isotope assign likely advances complex migration ecology species. We demonstrate limitations identifying/characterizing region.

Language: Английский

Citations

0

A comparative framework to develop transferable species distribution models for animal telemetry data DOI Creative Commons
Joshua A. Cullen, Camila Domit, Margaret M. Lamont

et al.

Ecosphere, Journal Year: 2024, Volume and Issue: 15(12)

Published: Dec. 1, 2024

Abstract Species distribution models (SDMs) have become increasingly popular for making ecological inferences, as well predictions to inform conservation and management. In predictive modeling, practitioners often use correlative SDMs that only evaluate a single spatial scale do not account differences in life stages. These modeling decisions may limit the performance of beyond study region or sampling period. Given increasing desire develop transferable SDMs, robust framework is necessary can known challenges model transferability. Here, we propose comparative which was tested using satellite telemetry data from green turtles ( Chelonia mydas ). This characterized by set steps comparing among different based on (1) algorithm (e.g., generalized linear vs. Gaussian process regression) formulation hybrid model), (2) scale, (3) accounting stage. were fitted resource selection functions trained Gulf Mexico with bathymetric depth, net primary productivity, sea surface temperature covariates. Independent validation datasets Brazil Qatar used assess A SDM hierarchical regression (HGPR) exhibited greater transferability than HGPR, forms models. Additionally, evaluated habitat at finest did stage proved be most this study. The presented here applied variety species, presence‐only, presence‐absence, mark‐recapture), frameworks functions, step occupancy models) generate species–habitat associations. We expect resulting will more informative management tools accurately climate change impacts wide array taxa.

Language: Английский

Citations

0