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

Study on the Spatiotemporal Changes and Driving Factors of Habitat Quality in the Yarlung Zangbo River From 2000 to 2020 DOI Creative Commons

Yu Chen,

Yujie Kang,

Jingji Li

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(2)

Published: Jan. 31, 2025

ABSTRACT The Yarlung Zangbo River (YLZB), the world's highest plateau river, possesses a particularly fragile ecosystem, making it highly vulnerable to global climate change. Understanding changes in YLZB habitat quality and their driving mechanisms is crucial for ecological protection sustainable development region. Based on land use data from 2000 2020, we conducted quantitative study spatiotemporal of YLZB. This employed model, Land Use Transition Matrix, optimal parameter geographical detector, partial least squares structural equation model (PLS‐SEM). results show that: (1) Forests, grasslands, unused account 94.14% basin area. areas land, forest water bodies have continuously increased, while permanent glaciers, snowfields decreased. decline was most pronounced 2005 2010. (2) area higher southeast lower west. degraded habitats significantly larger than that improved habitats. (3) NDVI, elevation, annual average temperature are key factors affecting quality. Elevation indirectly affects NDVI by influencing conditions, leading provides scientific basis understanding trends quality, new insights into intrinsic high‐altitude regions, offers theoretical support relevant departments implement management conservation efforts.

Language: Английский

Citations

1
Spatial-temporal evolution of habitat quality in tropical monsoon climate region based on “pattern–process–quality” – a case study of Cambodia DOI Creative Commons
Junmei Kang, Fengshuo Yang, Jun Wang

et al.

Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)

Published: Jan. 1, 2025

Abstract Exploring the coupling relationship of “pattern–process–quality” is conducive to understanding internal mechanism habitat quality change, and great significance for function maintenance sustainable management regional ecosystems. Existing studies mainly analyze spatial-temporal evolution from perspective “pattern quality” land use data. However, variation in result many factors such as habitat. Therefore, it necessary consider these comprehensively when studying change quality, so understand more deeply. This study takes Cambodia, a tropical monsoon climate region, research area, uses cover data 2000 2022 source. InVEST model used explore between use, landscape pattern, ecological process. The results show that (1) during 2000–2022, forest Cambodia covered wide range, showing pattern distributed east west. (2) degree fragmentation impervious increased gradually 2022, indicating was seriously affected by human activities natural factors, with increase elevation slope, area various types converted decreased. (3) During high areas were concentrated Tonle SAP Lake east, southwest, central part while low part. (4) Natural socio-economic policies, regulations all have an impact on Cambodia.

Language: Английский

Citations

1
InVEST model analysis of the impacts of land use change on landscape pattern and habitat quality in the Xiaolangdi Reservoir area of the Yellow River basin, China DOI
Longshan Zhao,

Wanyang Yu,

Ping Meng

et al.

Land Degradation and Development, Journal Year: 2022, Volume and Issue: 33(15), P. 2870 - 2884

Published: May 20, 2022

Abstract Changes in land use impact the landscape pattern and habitat quality (LPHQ) of ecosystems. Since 1999, Grain‐for‐Green Program (GGP) has brought dramatic changes Western China. Although many studies have reported positive contributions GGP to sediment reduction, effects on LPHQ remain unclear. This study aimed assess spatiotemporal characteristics Xiaolangdi Reservoir Area China (XRAC) before after implementation (in 1990, 2000, 2010 2020) using InVEST model. The results showed that: (1) From 1990 2020, main XRAC were a 34.97% increase forestland 37.56% decrease farmland. decreased fragmentation tended toward aggregation, became dominant type. (2) Habitat improved from 0.63 0.91 between 2020. High‐quality (0.80–1) was observed 88.24% spatial distribution degradation overall, with some localized increases; areas high levels shrank aggregated concentration human activities. (3) evolution influenced by both natural factors activities; short‐term improvement significantly related area, farmland vegetation coverage. Our provide evidence for assessing ecological benefit Yellow River basin.

Language: Английский

Citations

32
Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China DOI Creative Commons
Xu Zhang, Chunjuan Lyu, Xiang Fan

et al.

Land, Journal Year: 2022, Volume and Issue: 11(1), P. 127 - 127

Published: Jan. 13, 2022

China has set up ecological protection and high-quality development of the Yellow River Basin as its national strategy. However, fragile natural ecosystem intensive human disturbances pose challenges to it. This study evaluates habitat quality change analyzes drivers in a representative county this region, aiming provide scientific basis for sustainable development. We took Liulin, middle area evaluated spatiotemporal variation from 2000 2020 with InVEST model. Further, influencing factors pattern were explored using GeoDetector, their gradient ranges dominating determined by analysis. The results showed that: (1) Areas low medium-low grades distributed interactively whole county; medium grade areas scattered northeast southwest parts medium-high high sporadically along branches. (2) Habitat almost unchanged 2010. 2010 2020, rapid expansion construction land (increased 9.62 times), proportion medium, medium-high, decreased 7.01% 5.31%, while that increased 92.99% 94.69%. (3) was influenced multiple natural-human factors. main factor use, followed elevation. (4) Most changes occurred lower elevation, gentler slope, higher vegetation coverage, which affected activities. These suggest future use policy making Liulin County should be restricted, differentiated restoration strategies implemented different quality.

Language: Английский

Citations

30
Land Use Transitions and the Associated Impacts on Carbon Storage in the Poyang Lake Basin, China DOI Creative Commons
Yiming Wang, Zengxin Zhang, Xi Chen

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(11), P. 2703 - 2703

Published: May 23, 2023

Carbon storage plays an important role in the global carbon cycle and climate change mitigation. Understanding relationship between land use can significantly contribute to neutrality sustainable development. However, most previous studies only analyze due change, while few quantitatively evaluate contributions of various transitions (LUTs) which cannot provide enough information for management. In context rapid urbanization ecological conservation, Poyang Lake basin (PYLB) has experienced dramatic affected local storage. Therefore, this study used InVEST model PYLB from 1990 2020. Then, Geo-information Tupu method was quantify LUTs identify key LUTs. The results showed that decreased by 17.26 Tg gain mainly attributed ‘farmland forestland’ (36.87%), ‘grassland (22.58%), water’ (15.89%). contrast, built-up land’, ‘forestland grassland’ contributed 39.94%, 28.06%, 13.25% loss, respectively. Massive loss caused expansion should attract attention. This references formulation optimization policies achieve development PYLB.

Language: Английский

Citations

21
Spatial and temporal coordinated development research on ecosystem services and human well-being in the typical pastoral area of the Qinghai-Tibet Plateau DOI
Siyu Ren,

Haichao Jing,

Xuexue Qian

et al.

Journal of Geographical Sciences, Journal Year: 2024, Volume and Issue: 34(2), P. 252 - 288

Published: Jan. 26, 2024

Language: Английский

Citations

6
Habitat quality assessment of wintering migratory birds in Poyang Lake National Nature Reserve based on InVEST model DOI
Haifeng Xu, Bin Dong, Xiang Gao

et al.

Environmental Science and Pollution Research, Journal Year: 2022, Volume and Issue: 30(11), P. 28847 - 28862

Published: Nov. 19, 2022

Language: Английский

Citations

22
A modified habitat quality model to incorporate the effects of ecological restoration DOI Creative Commons
Ruiming Ma, Yihe Lü, Bojie Fu

et al.

Environmental Research Letters, Journal Year: 2022, Volume and Issue: 17(10), P. 104029 - 104029

Published: Sept. 16, 2022

Abstract Ecosystem restoration has the potential to improve ecological environment, increase ecosystem service delivery capability, and promote biodiversity conservation. Although habitat quality (HQ) is being widely used as a metric for large-scale conservation, it poorly understood measured in areas with significant vegetation (VR). This study proposes modified approach based on InVEST-HQ module by coupling Normalized Difference Vegetation Index measure HQ Yellow River Basin (YRB) extensive VR recent decades. The results show that area increases both Leaf Area net primary production accounts 29.7% of total YRB. original modules were compared. Based module, tendency very small changes years 2000, 2010, 2020, first then decrease; however, method significantly increasing trend, which consistent status trend key parameters. effectively expresses VR, making more appropriate usage where nature conservation are important management actions, allowing realistic decision-making data support regional management.

Language: Английский

Citations

20
Temporal and spatial responses of landscape patterns to habitat quality changes in the Poyang Lake region, China DOI
Xinmin Zhang, Wenqiang Wan, Houbao Fan

et al.

Journal for Nature Conservation, Journal Year: 2023, Volume and Issue: 77, P. 126546 - 126546

Published: Dec. 16, 2023

Language: Английский

Citations

11
A novel multidimensional framework for bridging conservation gaps and optimizing the system of natural reserves for biodiversity: A case study of Dongying, China DOI Creative Commons
Yifei Xu, Chi Li

Ecological Indicators, Journal Year: 2025, Volume and Issue: 170, P. 113088 - 113088

Published: Jan. 1, 2025

Language: Английский

Citations

0