Identifying conservation priorities for an understudied species in decline: Golden cats (Catopuma temminckii) in mainland Tropical Asia DOI Creative Commons
Wyatt Joseph Petersen, Tommaso Savini, Thomas N. E. Gray

и другие.

Global Ecology and Conservation, Год журнала: 2021, Номер 30, С. e01762 - e01762

Опубликована: Авг. 20, 2021

Identifying conservation priorities for an understudied species can be challenging, as the amount and type of data available to work with are often limited. Here, we demonstrate a flexible workflow identifying such data-limited species, focusing on little-studied Asian golden cat (Catopuma temminckii) in mainland Tropical Asia. Using recent occurrence records, modeled cat's expected area identified remaining habitat strongholds (i.e., large intact areas moderate-to-high occurrence). We then classified these by camera-trap survey status (from literature review) near-future threat (based publicly forest loss projections Bayesian Belief Network derived estimates hunting-induced extirpation risk) identify priorities. Finally, projected species' year 2000, approximately three generations prior today, define past declines better evaluate current status. Lower levels risk higher closed-canopy cover were strongest predictors records. Our suggest 68% decline between 2000 2020, further 18% predicted over next 20 years. Past primarily driven cumulatively increasing risk, suggesting assessments based solely may underestimate actual population declines. Of 40 strongholds, 77.5% seriously threatened hunting. Only 52% had at least one site surveyed, compared 100% low-to-moderate thus highlighting important knowledge gap concerning distribution results has experienced, will likely continue experience, considerable should considered up-listing category VU/EN) under criteria A2c IUCN Red List.

Язык: Английский

Can Bengal Tiger (Panthera tigris tigris) endure the future climate and land use change scenario in the East Himalayan Region? Perspective from a multiple model framework DOI Creative Commons
Jyotish Ranjan Deka,

Sk Zeeshan Ali,

Mujahid Ahamad

и другие.

Ecology and Evolution, Год журнала: 2023, Номер 13(8)

Опубликована: Авг. 1, 2023

Large mammals are susceptible to land use and climate change, unless they safeguarded within large, protected areas. It is crucial comprehend the effects of these changes on develop a conservation plan. We identified ecological hotspots that can sustain an ecosystem for endangered Bengal tiger (

Язык: Английский

Процитировано

5
Random forest modelling of multi‐scale, multi‐species habitat associations within KAZA transfrontier conservation area using spoor data DOI Creative Commons
Charlotte E. Searle, Żaneta Kaszta,

Dominik T. Bauer

и другие.

Journal of Applied Ecology, Год журнала: 2022, Номер 59(9), С. 2346 - 2359

Опубликована: Июнь 7, 2022

Abstract As landscape‐scale conservation models grow in prominence, assessments of how wildlife utilise multiple‐use landscapes are required to inform effective and management planning. Such efforts should incorporate multi‐species perspectives maximise value for conservation, account scale accurately capture species‐environment relationships. We show that the random forest machine learning algorithm can be used model large‐scale sign‐based data a multi‐scale framework. this method investigate scale‐dependent habitat associations 16 mammal species high importance across southern Kavango Zambezi (KAZA) Transfrontier Conservation Area Botswana Zimbabwe. Our findings revealed substantial variation factors shaping use species, illustrate different often have divergent responses same environmental anthropogenic factors, differ scales at which they respond them. For all variables optimisation most selected our largest scale. Precipitation, soil nutrients, vegetation appeared important determining distributions, likely through their with food resources herbivores and, turn, prey availability carnivores. Anthropogenic pressures also had an influence, many selecting against areas cattle density. The variety relationships human density indicated vary tolerance humans. found consistent positive relationship under protection, negative unprotected less‐strictly protected areas. Policy implications . Through novel application modelling spoor from study highlights adopting multi‐scale, approach decision‐making processes depend on understanding distributions associations, such as area corridor prioritisation. identify changing rainfall patterns increasing livestock numbers emerging trends may impact both within sub‐Saharan Africa global Wildlife authorities exercises adaptive ensure networks remain fit purpose anticipated changes climate change, explore initiatives promote coexistence livestock.

Язык: Английский

Процитировано

8
Recent Evidence of Scale Matches and Mismatches Between Ecological Systems and Management Actions DOI
Francesca Libera Falco, Shlomo Preiss-Bloom, Tamar Dayan

и другие.

Current Landscape Ecology Reports, Год журнала: 2022, Номер 7(4), С. 104 - 115

Опубликована: Авг. 26, 2022

Язык: Английский

Процитировано

8
Is there scope for growth? Mapping habitat suitability for Asian elephant (Elephas maximus) across its range in China DOI Creative Commons
Ying Chen, Nianfan Ding, Yakuan Sun

и другие.

Global Ecology and Conservation, Год журнала: 2023, Номер 47, С. e02665 - e02665

Опубликована: Окт. 5, 2023

Maintenance of sufficient habitat for large terrestrial mammals in increasingly human-dominated landscapes is challenging. Wild Asian elephants China were historically widespread, but now comprise 293 individuals confined to three prefectures southwestern Yunnan Province. Effective legal protection has permitted population growth Chinese elephants, it not known why are the portion Yunnan, nor there been a comprehensive assessment extent, quality and carrying capacity within their potential range. We used multiscale multivariable species-distribution modelling evaluate effects topography, land use, transport infrastructure settlements on suitability throughout during 2012 – 2021, using data from literature records, field surveys camera traps. Elephant distribution was strongly influenced by presence forest measured at coarse (32-km) scales, with fragmentation percentage cover together accounting 64% total variability, whereas had relatively minor effect (1.7%). Almost 17,430 km2 habitat, mostly along border Myanmar Lao PDR, predicted be highly suitable smaller amount two that currently lack elephants. estimate could support an additional 810 (range 300 1,469) more than twice current population. However, 90% outside protected areas. By making conservative predictions about restoration or enhancement we project sustain further 305 bringing 1,408. Our results have relevance planning proposed national park province.

Язык: Английский

Процитировано

4
Identifying conservation priorities for an understudied species in decline: Golden cats (Catopuma temminckii) in mainland Tropical Asia DOI Creative Commons
Wyatt Joseph Petersen, Tommaso Savini, Thomas N. E. Gray

и другие.

Global Ecology and Conservation, Год журнала: 2021, Номер 30, С. e01762 - e01762

Опубликована: Авг. 20, 2021

Identifying conservation priorities for an understudied species can be challenging, as the amount and type of data available to work with are often limited. Here, we demonstrate a flexible workflow identifying such data-limited species, focusing on little-studied Asian golden cat (Catopuma temminckii) in mainland Tropical Asia. Using recent occurrence records, modeled cat's expected area identified remaining habitat strongholds (i.e., large intact areas moderate-to-high occurrence). We then classified these by camera-trap survey status (from literature review) near-future threat (based publicly forest loss projections Bayesian Belief Network derived estimates hunting-induced extirpation risk) identify priorities. Finally, projected species' year 2000, approximately three generations prior today, define past declines better evaluate current status. Lower levels risk higher closed-canopy cover were strongest predictors records. Our suggest 68% decline between 2000 2020, further 18% predicted over next 20 years. Past primarily driven cumulatively increasing risk, suggesting assessments based solely may underestimate actual population declines. Of 40 strongholds, 77.5% seriously threatened hunting. Only 52% had at least one site surveyed, compared 100% low-to-moderate thus highlighting important knowledge gap concerning distribution results has experienced, will likely continue experience, considerable should considered up-listing category VU/EN) under criteria A2c IUCN Red List.

Язык: Английский

Процитировано

9