Habitat Analysis and Conservation Priorities for the Endangered Spotted Linsang in China: Insights from Infrared Camera Data and Species Distribution Modeling DOI
Xijin Hu, Chencheng Zhang, Zufei Shu

et al.

Published: Jan. 1, 2024

Spotted linsang is an endangered Prionodontidae species mainly distributed in southwestern China and Southeast Asia. In recent years, the habitat of spotted has dramatically decreased owing to impacts climate change anthropological activities. Existing studies on have focused genomics-related content; however, few predicting conservation status. this study, we analyzed activity rhythms preferences using infrared camera data obtained from Chebaling National Nature Reserve. Based MaxEnt model, established a distribution model combining bioclimatic, topographic, vegetation, human footprint clarify gaps priority areas China. Our results indicate that typical nocturnal mammal, with its peak period occurring autumn. It inhabits evergreen broad-leaved forests evergreen-deciduous broadleaved mixed at elevations < 1000 m. Its suitable region China, accounting for approximately 15.67% China's total land area. Annual temperature range, annual precipitation, precipitation driest month, mean diurnal normalized difference vegetation index, type are six main factors influencing linsang. There significant 12 provinces where distributed, unprotected outside nature reserves constituting > 85% Priority include Hengduan Mountains, border Guangxi Guangdong, northeastern regions Fujian Province. These elucidate behavioral patterns provide reference future targeted efforts

Language: Английский

Reeve’s Muntjac (Muntiacus reevesi) Habitat Suitability Under Climate Change Scenarios in Hupingshan National Nature Reserve, China DOI Creative Commons
Qi Liu, Jun Ye,

Zujie Kang

et al.

Animals, Journal Year: 2025, Volume and Issue: 15(2), P. 160 - 160

Published: Jan. 9, 2025

Climate change and human disturbance are critical factors affecting the habitat distribution of wild animals, with implications for management strategies such as protecting migration corridors, restoration, species conservation. In Hupingshan National Nature Reserve (NNR), Reeve’s muntjac (Muntiacus reevesi) is a key prey South China tiger (Panthera tigris amoyensis), which extinct in targeted reintroduction by Chinese government. Thus, understanding abundance essential to ensure survival sustainability reintroduced populations. Despite significant conservation efforts, impacts climate on NNR remain unclear, though these could necessitate adaptive due shifts abundance. this study, we employed an optimized MaxEnt model assess current identify environmental variables influencing muntjac. Assuming non-climatic will constant over next century, projected future under two shared socioeconomic pathways (SSP126 SSP585) mid-century (2050s) late-century (2090s). Comparative analyses areas revealed potential species. outputs classified suitability into high, medium, low levels. Results showed that climatic contributed 35.2% 49.4% suitability, respectively. Under SSP126 scenario, habitats decreased covered 0 km2 2050s, expanding slightly 4.2 2090s, while those increased spanned 491.1 463.2 SSP585 10.2 2050s 431.8 2090s. Habitats were comparatively smaller SSP585, covering 162.0 1.1 These findings suggest projections may support muntjac’s survival, loss 2090s (SSP126). lead fragmentation, raising extinction risks Reeves’s Mitigating effects involve establishing minimizing disturbances, potentially supplementing populations captive-bred prey. Such measures plan help availability remains sufficient sustaining

Language: Английский

Citations

1
Spatiotemporal Dynamics of Ilex macrocarpa Distribution Under Future Climate Scenarios: Implications for Conservation Planning DOI Open Access
Ying Liu,

Qiong Yang,

Suhang Li

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(2), P. 370 - 370

Published: Feb. 18, 2025

Identifying ecological distribution responses to climate change is pivotal for preserving biodiversity. Ilex macrocarpa, a deciduous tree of the Aquifoliaceae family, has considerable and medicinal benefits. This study investigated impact on potential I. macrocarpa using MaxEnt modeling GIS analysis. We analyzed 562 occurrence records against 19 bioclimatic variables, subsequently refined 7 key predictors through Pearson correlation analysis (|r| ≤ 0.75). The model demonstrated high predictive accuracy (AUC = 0.902 ± 0.010). Annual precipitation (67.9% contribution) minimum temperature coldest month (18.4% emerged as primary determinants distribution. Currently, suitable habitats occupy 252.97 × 104 km2 (26.35%) total land area China, with highly areas (72.82 km2) predominantly found in southern China. Under future scenarios, substantial shifts are projected: SSP126 shows 21.7% reduction by 2050, followed 9.1% recovery 2090; SSP245 indicates 13.4% 2050 minimal subsequent change; SSP585 demonstrates most severe impact, 32.0% 2090. Habitat centroid reveals significant northeastward under (116.23 km 2090), variable movements SSP245, southwestern displacement (143.23 2090). These findings suggest differential across implications conservation planning management strategies.

Language: Английский

Citations

0
Habitat Suitability Assessment of Key Wildlife in Hainan Tropical Rainforest Based on ESDM DOI Creative Commons
Wutao Yao, Jin Yang,

Yong Ma

et al.

Life, Journal Year: 2025, Volume and Issue: 15(2), P. 323 - 323

Published: Feb. 19, 2025

Hainan tropical rainforest is the largest contiguous in China, but it has experienced increasing disturbances from anthropogenic activities recent decades due to economic and social development. However, current status of wildlife habitats within remains insufficiently studied, lacking systematic scientific assessments necessary guide effective biodiversity conservation strategies. This study focuses on Jianfengling area rainforest, using infrared camera monitoring data habitat environmental factor collected through multi-source 2020-2021. By applying Ensemble Species Distribution Model (ESDM), we assessed spatial distribution suitability its influencing factors for seven representative species, as well overall multi-species suitability. The results indicate that exhibits a pattern high central regions low surrounding areas. Anthropogenic DEM were identified most significant selection, with species favoring mid altitude areas (500-1000 m) where human are less prevalent. provides support management authorities optimize resource allocation, develop dynamic strategies, implement measures.

Language: Английский

Citations

0
Cultural service assessment of cultivated land ecosystem in the Yangtze River Delta region from a supply–demand-flow perspective DOI

Caiwei Da,

Junjun Zhi, Wenjing Zhao

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 173, P. 113378 - 113378

Published: March 21, 2025

Language: Английский

Citations

0
Forest Loss Drivers and Landscape Pressures in a Northern Moroccan Protected Areas’ Network: Introducing a Novel Approach for Conservation Effectiveness Assessment DOI Creative Commons
Hamid Boubekraoui,

Zineb Attar,

Yazid Maouni

et al.

Conservation, Journal Year: 2024, Volume and Issue: 4(3), P. 452 - 485

Published: Aug. 19, 2024

This study assesses the conservation effectiveness of 21 protected areas (PAs) in Northern Morocco, comprising 3 parks and 18 Sites Ecological Biological Interest (SBEIs), against five major landscape pressures (LSPs): deforestation, infrastructure extension, agricultural expansion, fires, population growth. We propose a novel quantitative methodology using global remote sensing data exploratory spatial analysis (ESDA). Data were sourced from Global Forest Change (GFC), Land Analysis Discovery (GLAD), Burned Area Product (MODIS Fire_CCI51), World Population datasets. The combined impact LSPs was measured cumulative effect index (CEI), calculated with Shannon–Wiener formula at 1 km2 scale. CEI analyzed alongside distance to PAs’ network Moran’s index, identifying four association types: high–high (HH), high–low (HL), low–low (LL), low–high (LH), non-significant (NS) cells. defined zones: inner zone (IZ), potential spillover (PSEZ), statistically (SNSZ), non-potential (NPEZ). Conservation quantified ratio (CR), which compared prevalence LL versus HL units within IZs PSEZs. Four disturbance levels (very high, medium, low) assigned CR values (0–25%, 25–50%, 50–75%, 75–100%), resulting sixteen typologies. Initial findings indicated similar deforestation patterns between unprotected zones, wildfires causing over half forest losses PAs. results categorized PAs into nine typologies, high very levels. A significant positive correlation (71%) CRs both zones underscored uniform LSPs, regardless protection status. However, natural area category showed minimal disruption, attributed their advanced Finally, we developed methodological framework for application other regions based on this case study.

Language: Английский

Citations

1
Habitat analysis and conservation priorities for the endangered spotted linsang in China DOI Creative Commons
Xijin Hu, Chencheng Zhang, Zufei Shu

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03320 - e03320

Published: Nov. 1, 2024

Language: Английский

Citations

1
Habitat Analysis and Conservation Priorities for the Endangered Spotted Linsang in China: Insights from Infrared Camera Data and Species Distribution Modeling DOI
Xijin Hu, Chencheng Zhang, Zufei Shu

et al.

Published: Jan. 1, 2024

Spotted linsang is an endangered Prionodontidae species mainly distributed in southwestern China and Southeast Asia. In recent years, the habitat of spotted has dramatically decreased owing to impacts climate change anthropological activities. Existing studies on have focused genomics-related content; however, few predicting conservation status. this study, we analyzed activity rhythms preferences using infrared camera data obtained from Chebaling National Nature Reserve. Based MaxEnt model, established a distribution model combining bioclimatic, topographic, vegetation, human footprint clarify gaps priority areas China. Our results indicate that typical nocturnal mammal, with its peak period occurring autumn. It inhabits evergreen broad-leaved forests evergreen-deciduous broadleaved mixed at elevations < 1000 m. Its suitable region China, accounting for approximately 15.67% China's total land area. Annual temperature range, annual precipitation, precipitation driest month, mean diurnal normalized difference vegetation index, type are six main factors influencing linsang. There significant 12 provinces where distributed, unprotected outside nature reserves constituting > 85% Priority include Hengduan Mountains, border Guangxi Guangdong, northeastern regions Fujian Province. These elucidate behavioral patterns provide reference future targeted efforts

Language: Английский

Citations

0