Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144513 - 144513
Published: Dec. 1, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144513 - 144513
Published: Dec. 1, 2024
Language: Английский
Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2180 - 2180
Published: Dec. 13, 2024
Land use pattern is a dominant factor causing carbon storage changes in terrestrial ecosystems and crucial for maintaining the stability of storage. Understanding impact land on variations drylands great significance local ecological protection sustainable management resources. Based data Gonghe Basin from 1990 to 2020, InVEST model was applied analyze spatiotemporal storage, PLUS used predict under three different development scenarios 2030. The results are as follows: (1) From main types were grassland unused land, with an overall increase marked decrease land. (2) spatial distribution generally characterized by being low center high at edge, most important type highest Over past 30 years, it has shown followed decline, 1.84%. (3) natural trend, urban development, will be 158.80 × 106 Mg, 158.66 159.83 Mg 2030, respectively. cropland areas larger scenario, which more conducive improving this region. This study provides effective reference optimizing achieving neutrality (“dual carbon” goals) drylands.
Language: Английский
Citations
1Diversity, 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
0Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Oct. 23, 2024
Exploring the relationship between land use cover/change (LUCC) and ecosystem service value (ESV) under different future scenarios can provide guidance for selecting development patterns scientific utilization of resources in region. In this study, LUCC North Slope Tianshan Mountain (NSTM) was simulated using PLUS model. The ESV coefficients were adjusted regional differences social factors to better reflect actual situation study area. interactions LUCC, landscape pattern (LSP), systematically analyzed, while at same time, level economic fitted Ecological Kuznets Curve, which then used determine its trend inflection point. following conclusions drawn: (1) Cropland unused are main types change NSTM, both historically future. shows an increase natural scenario a decrease ecological protection scenario. Unused scenarios, indicating that has higher potential NSTM. NSTM continuous (2) LSP historical have evolved show fragmentation, heterogeneity, complexity patch forms. However, is slower than LSP, form integrated framework interactions, where influences through changes feedback acts as bridging mediator. (3) Curve exhibits N-shape, showing clear overall rightward across annual level. At interannual level, curves situated middle declining phase with no point occurring during period. contrast, display declining-ascending trend, when per capita GDP reaches 2.5 × 10^6 CNY.
Language: Английский
Citations
0Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144513 - 144513
Published: Dec. 1, 2024
Language: Английский
Citations
0