Evaluating dynamics in human‐bear interactions within social‐ecological system DOI Creative Commons
Yunrui Ji, Xuelei Wei, Diqiang Li

и другие.

People and Nature, Год журнала: 2024, Номер 6(2), С. 906 - 918

Опубликована: Март 1, 2024

Abstract Over the past few decades, social‐ecological transformations have contributed to restoration of numerous carnivores, presenting new challenges for human‐wildlife coexistence. Evaluating and understanding interaction dynamics, particularly conflict‐prone species, is crucial conservation management strategies. Our study focuses on Asiatic Black Bear ( Ursus thibetanus ) in Western Yunnan, China, a region with favourable bear conditions significant environmental changes due policies. This employed multifaceted approach gather data occurrences human‐bear conflicts. Utilising species distribution models, we predicted potential habitat 2000 2020. We proposed methodology integrating human footprint delineate interface. Additionally, evaluated spatial–temporal variations interface between Semi‐structured interviews were conducted capture perceptions local communities regarding population, interactions findings indicated that habitats bears strongly influenced by forest cover. noticed improvements from 2020, notwithstanding localised losses specific areas. Most respondents attributed increasing population reduced impact during this period. Notably, proportion supported policies, previously participating their formulation implementation. analysis further revealed increases Remarkably, these did not significantly diminish communities' endorsement resilience can be net positive impacts policies livelihoods communities. highlights complexity dynamic nature within system provides insights facilitate sustainable measures. Read free Plain Language Summary article Journal blog.

Язык: Английский

Assessment approach for conservation effectiveness and gaps for endangered species based on habitat suitability: A case study of alpine musk deer in western China DOI Creative Commons
Feng Jiang, Pengfei Song, Jingjie Zhang

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113080 - 113080

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

2

Application of species distribution models to estimate and manage the Asiatic black bear (Ursus thibetanus) habitat in the Hindu Kush Mountains, Pakistan DOI
Muhammad Rehan,

Ammar Hassan,

Shah Zeb

и другие.

European Journal of Wildlife Research, Год журнала: 2024, Номер 70(3)

Опубликована: Май 31, 2024

Язык: Английский

Процитировано

13

Tracing the future of epidemics: Coincident niche distribution of host animals and disease incidence revealed climate‐correlated risk shifts of main zoonotic diseases in China DOI
Bo Cao, Chengke Bai, Kunyi Wu

и другие.

Global Change Biology, Год журнала: 2023, Номер 29(13), С. 3723 - 3746

Опубликована: Апрель 7, 2023

Climate has critical roles in the origin, pathogenesis and transmission of infectious zoonotic diseases. However, large-scale epidemiologic trend specific response pattern diseases under future climate scenarios are poorly understood. Here, we projected distribution shifts risks main change China. First, shaped global habitat host animals for three representative (2, 6, 12 hosts dengue, hemorrhagic fever, plague, respectively) with 253,049 occurrence records using maximum entropy (Maxent) modeling. Meanwhile, predicted risk above 197,098 disease incidence from 2004 to 2017 China an integrated Maxent modeling approach. The comparative analysis showed that there exist highly coincident niche distributions between diseases, indicating is accurate effective predicting potential On this basis, further current 11 four concentration pathways (RCPs) (RCP2.6, RCP4.5, RCP6.0, RCP8.5) 2050 2070 1,001,416 records. We found Central China, Southeast South concentrated regions high More specifically, had diverse shift patterns including increase, decrease, unstable. Further correlation indicated these were correlated warming precipitation increase. Our results revealed how respond a changing climate, thereby calling administration prevention strategies. Furthermore, will shed light on guiding prediction emerging change.

Язык: Английский

Процитировано

18

Conservation and Restoration of Mangroves in Response to Invasion of Spartina alterniflora Based on the MaxEnt Model: A Case Study in China DOI Open Access
Lina Cui, Uta Berger,

Minmin Cao

и другие.

Forests, Год журнала: 2023, Номер 14(6), С. 1220 - 1220

Опубликована: Июнь 13, 2023

In China, the invasion of Spartina alterniflora is an important driver for decrease mangrove area and ecological service functions related to this habitat. past few decades, S. clearing restoration projects have mainly focused on areas where it already changed but ignored potential distribution areas. This study suggested that implementation protection prior with threat could greatly improve efficiency save costs. Thus, using Maximum Entropy Modeling (MaxEnt), we estimated spatial both mangroves in considering current data, topographical, sediments, sea surface temperature bioclimatic variables. What’s more, identified calculated distributed each province. We aimed explore (i) key factors determining along coastline (ii) hotspots their competitive occurrence, including degradation areas, order support conservation. The model showed distance topography play roles alterniflora, while were more sensitive range annual temperature. Our results furthermore confirm has a wider (~10,585 km2) than (~9124 at China; predict provinces Zhangzhou, Quanzhou, Zhanjiang, Beihai Wenzhou as competition between alterniflora. propose priority should be given or plants those which are co-suitable these management measures conducted hinder invasions clear existing plants, firstly. provides guidance native species by preventing biological invasion.

Язык: Английский

Процитировано

16

Predicting Possible Distribution of Tea (Camellia sinensis L.) under Climate Change Scenarios Using MaxEnt Model in China DOI Creative Commons

Yuncheng Zhao,

Mingyue Zhao,

Lei Zhang

и другие.

Agriculture, Год журнала: 2021, Номер 11(11), С. 1122 - 1122

Опубликована: Ноя. 10, 2021

Climate change has dramatic impacts on the growth and geographical distribution of tea (Camellia sinensis L.). Assessing potential will help decision makers to formulate appropriate adaptation measures use altered climatic resources avoid damage from climate hazards. The objective in this study is model current future species based four SSPs scenarios using MaxEnt China. For modeling procedure, records 410 sites 9 variables were used paper. area under receiver operating characteristic (ROC) curve (AUC) was evaluate performance model. AUC value over 0.9 study, showing excellent simulation result In relation distribution, areas 82.01 × 104 km2 (8.51% total land China), 115.97 (12.03% 67.14 (6.97% China) recognized as Marginal, Medium, Optimal suitable habitats for Compared most suitability southeast China would be lost scenarios. Marginal Medium expand SSP370 SSP585, especially 2041–2061 2081–2100. northwards westwards, suggesting that additional new could created production with change, Shandong, Henan, Guizhou, Yunnan Provinces. This research provide vital scientific understanding policy making production, garden site chosen adopyion methods future.

Язык: Английский

Процитировано

30

Impacts of Climate Warming on Biodiversity, Ecosystem Functionality, and Services in the Himalayan Landscape DOI
Vinod Chandra Joshi, R. C. Sundriyal, Dhani Arya

и другие.

Environmental science and engineering, Год журнала: 2025, Номер unknown, С. 337 - 351

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Asiatic black bear in Pakistan: a comprehensive review and conservation indications DOI Creative Commons
Faizan Ahmad, Muhammad Rehan, Luciano Bosso

и другие.

Mammalian Biology, Год журнала: 2025, Номер unknown

Опубликована: Фев. 19, 2025

Язык: Английский

Процитировано

0

Climate change and conservation strategies for the Anhui musk deer: habitat suitability and climate refuges in the Dabie Mountains DOI Creative Commons
Dapeng Pang, Yaqiong Wan, Yunfeng Chen

и другие.

Landscape Ecology, Год журнала: 2025, Номер 40(5)

Опубликована: Май 5, 2025

Язык: Английский

Процитировано

0

Predicting current and future habitat of Indian pangolin (Manis crassicaudata) under climate change DOI Creative Commons
Siddiqa Qasim, Tariq Mahmood, Bushra Allah Rakha

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 30, 2024

Abstract Climate change is among the greatest drivers of biodiversity loss, threatening up to 15–30% described species by end twenty-first century. We estimated current suitable habitat and forecasted future distribution ranges Indian pangolin ( Manis crassicaudata ) under climate scenarios. collected occurrence records using burrow counts, remote camera previously published literature in Pakistan during 2021–2023. downloaded bioclimatic data for (1970–2000) (2041–2060, 2061–2080, 2081–2100) scenarios from WorldClim database Hadley Global Environment Model (HadGEM3-GC31-LL). used MaxEnt software predict distributions pangolin, then computed amount lost, gained, unchanged across periods. obtained 560 occurrences overall, 175 study, 385 our search. accuracy was very good (AUC = 0.885, TSS 0.695), jackknife tests variable importance showed that contribution annual mean temperature (bio1) (33.4%), followed coldest quarter (bio-12, 29.3%), seasonality (bio 4, 25.9%), precipitation 15, 11.5%). The maxent model predicted time period highly (7270 km 2 , 2.2%), moderately (12,418 3.7%), less (49,846 14.8%), unsuitable (268,355 79.4%). Highly decreased western part study area most SSPs central parts it declined all loss (26.97%) SSP 585 126 (23.67%) 2061–2080. gain than losses on average which ranged between 1.91 13.11% While stable 64.60 83.85% Our provides face a changing climate. findings could be helpful policymakers set conservation strategies Pakistan.

Язык: Английский

Процитировано

3

What's going to be on the menu with global environmental changes? DOI Creative Commons
Jane Hallam, Nyeema C. Harris

Global Change Biology, Год журнала: 2023, Номер 29(20), С. 5744 - 5759

Опубликована: Июль 17, 2023

Ongoing anthropogenic change is altering the planet at an unprecedented rate, threatening biodiversity, and ecosystem functioning. Species are responding to abiotic pressures both individual population levels, with changes affecting trophic interactions through consumptive pathways. Collectively, these impacts alter goods services that natural ecosystems will provide society, as well persistence of all species. Here, we describe physiological behavioral responses species global on levels result in detectable diet across terrestrial marine ecosystems. We illustrate shifts dynamics food webs implications for animal communities. Additionally, highlight myriad tools available researchers investigate consumption patterns interactions, arguing data a crucial component ecological studies change. suggest holistic approach integrating complexities choice environmental drivers may be more robust resolving trends predicting web responses, potentially identifying early warning signs diversity loss. Ultimately, despite growing body long-term datasets, there remains dearth ecology temporal scales, shortcoming must resolved elucidate vulnerabilities changing biophysical conditions.

Язык: Английский

Процитировано

7