Biological Conservation, Journal Year: 2024, Volume and Issue: 300, P. 110854 - 110854
Published: Nov. 9, 2024
Language: Английский
Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106352 - 106352
Published: April 1, 2025
Language: Английский
Citations
1
Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 123861 - 123861
Published: Jan. 8, 2025
Language: Английский
Citations
0
Diversity, Journal Year: 2025, Volume and Issue: 17(1), P. 67 - 67
Published: Jan. 19, 2025
Climate change poses a significant threat to biodiversity. Predicting the impacts of climate on species distribution and dispersal through computational models big data analysis can provide valuable insights. These predictions are crucial for developing effective strategies mitigate threats that Our study investigated potential impact an umbrella (Ursus arctos pruinosus) in Western Sichuan Province, China. We employed MaxEnt Circuit Theory assess both current future shifts migration corridors. The results indicated environmental factors had greatest influence distribution, with bioclimatic variables bio12, bio3, elevation contributing 22.1%, 21.5%, 19.3%, respectively. Under climatic conditions, total suitable habitat area was 70,969.78 km2, largest habitats located Shiqu Litang, accounting 24.39% 15.86% area, However, under scenarios, RCP 2.6, 4.5, 8.5 showed reduction ranging from 7789.26 km2 16,678.85 km2. Yajiang Xinlong counties experienced most severe reductions, declines exceeding 50%. Additionally, altitudinal shifted, gradually moving higher elevations scenarios. also analyzed species’ paths. paths predominantly followed northwest-to-southeast orientation. by 2070s, all three RCPs, resistance is projected significantly increase, density will decrease, connectivity these be reduced. In extreme scenario, southern nearly disappeared, contracted towards northwest. findings highlight posed corridors, emphasizing importance considering conservation protect this vulnerable its ecosystem.
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1515 - 1515
Published: Feb. 12, 2025
Optimizing the habitat quality (HQ) assessment and revealing its nonlinear influence mechanisms, particularly by considering mountain micro-topographic characteristics, are critically important for promoting sustainable development safeguarding ecological environment of cities. Taking Chongqing main city (CMC) as study area, first, Geomorphons algorithm was used to identify positions. On this basis, HQ InVEST model optimized collecting multispectral data from UAV, spatiotemporal change trend analyzed least-squares method. Secondly, hotspot analysis explore differentiation on different land use geomorphological types. Finally, based generalized additive model, dominant influencing factors were determined, their effects analyzed. The results showed following: (1) average CMC an increasing 2000 2020. four mountains two rivers higher, while it lower in central urban area. (2) hotspots mainly distributed parallel areas composed forests, grasslands, waters. heterogeneity at scale manifested that summits always HQ. (3) influenced a range factors, including both natural environmental conditions socio-economic drivers, among which normalized difference vegetation index most factor.
Language: Английский
Citations
0
Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3371 - 3371
Published: April 10, 2025
Megacities in developing countries are still undergoing rapid urbanization, with different cities exhibiting ecosystem services (ESs) heterogeneity. Evaluating ESs among various and analyzing the influencing factors from a resilience perspective can effectively enhance ability of to deal react quickly risks uncertainty. This approach is also crucial for optimizing ecological security patterns. study focuses on Xi’an Jinan, two important megacities along Yellow River China. First, we quantified four both cities: carbon storage (CS), habitat quality (HQ), food production (FP), soil conservation (SC). Second, analyzed synergies trade-offs between these using bivariate local spatial autocorrelation Spearman’s rank correlation coefficient. Finally, conducted driver analysis Geographic Detector. Results: (1) The temporal distribution Jinan quite different, but show lower ES levels urban core area. (2) showed strong synergistic effect. Among them, CS-HQ had strongest synergy 0.93. In terms space, north dominated by low–low clustering, while south high–high clustering. FP-SC trade-off effect −0.35 2000, which gradually weakened over time was mainly distributed northern area city where cropland construction were concentrated. (3) Edge density, patch NDVI have greatest influence CS Jinan. DEM, slope, density HQ. Temperature, edge impact temperature FP cities. SC. Landscape fragmentation has great CS, HQ, SC Due insufficient research data, this focused only middle reaches River. However, results provide new solving problem regional sustainable development directions ideas follow-up field.
Language: Английский
Citations
0
Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112699 - 112699
Published: Oct. 1, 2024
Language: Английский
Citations
3
Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 55, P. e03243 - e03243
Published: Oct. 8, 2024
Language: Английский
Citations
0
Diversity, Journal Year: 2024, Volume and Issue: 16(10), P. 630 - 630
Published: Oct. 10, 2024
The main causes of habitat conversion, degradation, and fragmentation—all which add to the loss in biodiversity—are human activities, such as urbanization farmland reclamation. In order inform scientific land management biodiversity conservation strategies and, therefore, advance sustainable development, it is imperative evaluate effects land-use changes on biodiversity, especially areas with high biodiversity. Using data from five future scenarios under various Shared Socioeconomic Pathways (SSPs) Representative Concentration (RCPs), this study systematically assesses characteristics landscape pattern southwest China by 2050. This builds a comprehensive index forecasts trends species richness quality using models like Fragstats InVEST overall research yielded subsequent conclusions: (1) Grasslands woods will continue be primary uses future. But amount grassland expected decrease 11,521 102,832 km2, amounts wasteland urban area are increase 8130 16,293 km2 4028 19,677 respectively. Furthermore, anticipated that metropolitan see an fragmentation shape complexity, whereas forests wastelands these aspects. (2) China, there synergistic relationship between quality, both still at relatively levels. terms percentage regions categorized outstanding good range 71.63% 74.33% 70.13% 75.83%, environmental circumstances for survival worsen comparison 2020, notwithstanding Western Sichuan, southern Guizhou, western Yunnan home most high-habitat-quality species-richness areas, while plateau majority lower scoring areas. (3) (89.84% 94.29%) forecast undergo little change spatial distribution general ecological environment predicted stay favorable. Except SSP1-RCP2.6 scenario, however, region declining exceed those increasing projected decline 1.0562% 5.2491% index. These results underscore major obstacles area, highlighting need fortify macro-level management, put into practice efficient regional plans, incorporate traditional knowledge save
Language: Английский
Citations
0
Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107700 - 107700
Published: Oct. 24, 2024
Language: Английский
Citations
0
Biological Conservation, Journal Year: 2024, Volume and Issue: 300, P. 110854 - 110854
Published: Nov. 9, 2024
Language: Английский
Citations
0