Research on habitat quality in arid urban agglomerations: Influencing mechanisms and multi‐scenario simulations DOI
Chuqiao Han,

Jianghua Zheng,

Wanqiang Han

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(6), P. 2256 - 2273

Published: Feb. 9, 2024

Abstract In the context of climate change and rapid urbanization, there have been unparalleled changes in land use cover (LULC), resulting substantial impacts on surrounding habitat quality (HQ), particularly ecologically vulnerable arid regions. However, previous studies influencing mechanisms HQ urban agglomerations future multi‐scenario simulations remain limited. To fill this knowledge gap, study aimed to reveal develop a assessment framework within agglomerations. We assessed spatiotemporal variations using InVEST model three periods LULC data for agglomeration northern slope Tianshan Mountains (UANSTM), partial least squares structural equation was introduced explore interactions between natural non‐natural factors their HQ. Additionally, we coupled multi‐objective programming PLUS models predict under different optimization scenarios (natural development scenario (NDS), ecological protection (EPS), ecological–economic coordinated scenario, economic scenario) UANSTM 2030, assess Results show that (1) index 0.507, 0.520, 0.495 2000, 2010, 2020 respectively, with spatial distribution pattern high values west, low east, central north south; (2) geomorphic, climatic, direct positive effects HQ, while socio‐economic negative effect addition, socio‐economic, climatic also influence through potential indirect paths. Climatic enhance geomorphic counteracting largest LULC; (3) according four highest (increased by 0.13%) found EPS, which aligns more closely SDGs. Conversely, NDS showed lowest (declined 2.59%). The research results could provide scientific basis promoting sustainable management conservation UANSTM.

Language: Английский

Matching supply and demand for ecosystem services in the Yellow River Basin, China: A perspective of the water-energy-food nexus DOI
Dengyu Yin, Haochen Yu, Yangyang Shi

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 384, P. 135469 - 135469

Published: Dec. 12, 2022

Language: Английский

Citations

87
Coupling coordination analysis and spatiotemporal heterogeneity between sustainable development and ecosystem services in Shanxi Province, China DOI
Zheng Yang, Jinyan Zhan, Chao Wang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 836, P. 155625 - 155625

Published: May 1, 2022

Language: Английский

Citations

86
Impacts and predictions of urban expansion on habitat quality in the densely populated areas: A case study of the Yellow River Basin, China DOI Creative Commons
Jianjun Tang, Liang Zhou, Xuewei Dang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110320 - 110320

Published: May 6, 2023

The conflict between the human-environment is more prominent in densely populated areas (DPA) where urban expansion increasingly disturbing ecological environment, resulting significant damage to habitat quality (HQ). However, a few studies have examined impacts of on HQ DPA under different scenarios, especailly Yellow River Basin. Therefore, we quantitatively analyzed from 1990 2018 by coupling FLUS-InVEST model and predicted changes 2030. results showed that: (1) rate was 46.4%. Among them, Hohhot-Baotou-Ordos-Yulin (HBOY) agglomeration expanded at highest rate, with an intensity 0.16%. pattern mainly edge expansion. (2) overall decreased 1.6%. patch level affected expansion, higher-level patches were easily shifted lower-level patches. Low increased 38.6% while high gradually decreased. (3) Under natural development scenario, 28.9% 2.9%. only descesaed 0.8% constraint indicating that constrained way great benefit improve HQ. These provide reference for conservation sustainable DPA.

Language: Английский

Citations

59
Land use and habitat quality change in the Yellow River Basin: A perspective with different CMIP6-based scenarios and multiple scales DOI Creative Commons

Xianglin Ji,

Yilin Sun, Wei Guo

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118729 - 118729

Published: Aug. 3, 2023

Language: Английский

Citations

48
Impact of vegetation restoration on ecosystem services in the Loess plateau, a case study in the Jinghe Watershed, China DOI Creative Commons
Zhixiong Tang, Zixiang Zhou,

Wang De

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 142, P. 109183 - 109183

Published: July 22, 2022

Assessing ecosystem services (ESs) is vital for the environment development. This study explored variation characteristics of ESs under restoring vegetation since Grain Green Project (GFGP) in Jinghe Watershed, which a typical watershed experiencing severe soil erosion Loess Plateau China. Herein, fractional cover (FVC) selected as an indicator changes restoration from 2000 to 2020. Simulations are based on Soil and Water Assessment Tool (SWAT), Carnegie Ames-Stanford Approach (CASA) model, Integrated Valuation Ecosystem Services Tradeoffs (InVEST). paper analyzed spatiotemporal heterogeneity coverage response Watershed with Mann-Kendall test, Pearson correlation coeffificient R gray relational analysis (GRA). The results showed that: (1) Since implementation GFGP, area forests grassland has increased significantly. proportion was 95.15 %; (2) At whole scale, conservation (SC), water yied (WY), net primary production (NPP) habitat quality (HQ) were synergistic relationships, while focusing sub-watershed SC HQ transformed into trade-off relationships some sub-watershed. (3) Vegetation had positive effects SC, WY, NPP, HQ. order relevance was: > NPP indicating that highest closeness SC. significantly restored, promoted improvement ESs.

Language: Английский

Citations

41
Spatial pattern evolution and prediction scenario of habitat quality in typical fragile ecological region, China: A case study of the Yellow River floodplain area DOI Creative Commons
Hongbo Zhao,

Xiaoman Xu,

Junqing Tang

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(3), P. e14430 - e14430

Published: March 1, 2023

The Yellow River basin is an important area for China to implement ecological protection policies. Studying the habitat quality of floodplain great significance security and sustainable development entire basin. This study primarily investigated spatial pattern in from 2000 2020, then, we also simulated changes 2025–2035 analyzed influencing factors by coupling PLUS (Patch-generating Land Use Simulation) model, InVEST (Integrated Valuation Ecosystem Services Trade-offs) model RF (Random Forest) model. results showed that:(1) From cultivated land build-up constituted part area, growth rate was fast. (2) We found that (forest land, grassland, waterbody) had a higher contribution value quality, while lower quality. (3) Overall, degradation trend 2020. In addition, regions with low accounted major proportion. (4) Based on calculation Random Forest (RF) topographical relief (TR) use intensity (LUI) were two most affecting area. (5) According four scenarios 2025 2035, it level would be highest under scenario, urban scenario its lowest. attempts combine improve objectivity accuracy future prediction which can provide scientific reference governance policy formulation

Language: Английский

Citations

23
How do different processes of habitat fragmentation affect habitat quality? – Evidence from China DOI Creative Commons

Jialong Xu,

Yun Ling,

Yiyan Sun

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111880 - 111880

Published: March 1, 2024

Large-scale loss and fragmentation of natural habitats is one the critical factors in global decline biodiversity. Habitat quality foundation for supporting biodiversity, so exploring mechanisms by which habitat affects important biodiversity protection. However, little known about specific forms that various processes affect quality. Taking China as an example, three (the decrease area, increase isolation, edge) variations were quantitatively assessed from 2000 to 2020. On this basis, Pearson coefficients, Generalized Additive Model (GAM) Geographical detector employed examine linear\non-linear\combined impacts different on The results indicated there was a clear trend degradation 2000–2020. 56.94%, 42.33%, 50.89% area experienced edge, respectively, 63.12% All these result downward form showed non-linear characteristics. isolation consistently had significant negative influence quality, albeit with varying strengths at segments. While edge causes overall two have more complex relationship, response curves varied between positive correlations. In addition, are exacerbated when multiple occur simultaneously. These findings reveal inform development rational landscape planning conservation measures China.

Language: Английский

Citations

10
Impact assessment of land-use alteration on land surface temperature in Kabul using machine learning algorithm DOI
Sajid Ullah, Mohsin Abbas,

Xiuchen Qiao

et al.

Journal of Spatial Science, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 23

Published: June 27, 2024

Language: Английский

Citations

10
Influence of land use change on habitat quality: a case study of coal mining subsidence areas DOI
Yedong Chen, Jiang Chang, Zixuan Li

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(6)

Published: May 10, 2024

Language: Английский

Citations

9
Evaluation of land ecological security and driving factors in the Lower Yellow River Flood Plain based on quality, structure and function DOI Creative Commons
Ge Zhai, Peng Ren,

Ruihai Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 21, 2025

Land ecological security (LES) is crucial for human well-being and sustainable development, especially in areas like the Lower Yellow River Flood Plain (LYRFP), which faces flood threats, economic challenges, fragility. This study introduces a "Quality-Structure-Function" framework evaluating LYRFP's LES, incorporating baselines impacts of land use changes on comprehensive assessment. Using Optimal Parameter Geographic Detector (OPGD) model, we analyzed agricultural, industrial, socio-economic factors as potential LES drivers. The findings indicate gradual improvement over past two decades, with spatial variations—higher upstream estuarine lower middle. Significant enhancements post-2010 were observed Shandong Province, unlike modest gains Henan. Spatial heterogeneity was evident across floodplain segments, Jitai Beach witnessing most decline, Dongying improvement, Zhengkai largest internal disparities. Economic growth reduced agricultural activities positively impacted while population growth-related contributed to its decline. suggested safety improvements LYRFP by considering spatiotemporal influencing regional protection development.

Language: Английский

Citations

1