Deleted Journal, Год журнала: 2024, Номер 11(3), С. 0 - 0
Опубликована: Дек. 1, 2024
Язык: Английский
Deleted Journal, Год журнала: 2024, Номер 11(3), С. 0 - 0
Опубликована: Дек. 1, 2024
Язык: Английский
Ecological Indicators, Год журнала: 2024, Номер 162, С. 112051 - 112051
Опубликована: Апрель 23, 2024
Realizing the superior stability of natural resources for regional economic growth depends on construction Ecological Security Pattern (ESP)1. The ESP Hubei Province was determined based supply and demand ecosystem services (ESSD)2. main conclusions are as follows: (1) overall in exceeds demand, imbalance between Wuhan, Xiangyang Jingzhou is most serious. (2) largest ecological source area 2000 90,506 km2, followed by 86,946 km2 2020. (3) 11 long-term obstacles with a total 312.96 were identified, which mainly composed large areas cultivated land water. (5) protection restoration pattern "two axes, three belts, four districts five cores (two secondary)" has been constructed Province. results this study provide reference management response to problems
Язык: Английский
Процитировано
18Resources Conservation and Recycling, Год журнала: 2024, Номер 206, С. 107665 - 107665
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
9Journal of Environmental Management, Год журнала: 2023, Номер 349, С. 119528 - 119528
Опубликована: Ноя. 20, 2023
Язык: Английский
Процитировано
16Ecological Indicators, Год журнала: 2023, Номер 154, С. 110544 - 110544
Опубликована: Июнь 26, 2023
The ecosystem services value (ESV) is an important basis for measuring ecological environment quality and efficient management of ecosystems. Although there have been many studies devoted to the measurement ESV, research on key influencing factors ESV prediction future development scenarios still limited. This study coupled Deep Forest model Patch-generating Land Use Simulation (PLUS) identify simulated change trend under Shared Socioeconomic Pathways (SSPs). Taking cluster cities around Yellow River floodplain area as object, this quantitatively analyzed spatiotemporal evolution characteristics its from 2000 2020, identified affecting using model. results showed that: (1) overall upward with strong spatial heterogeneity; (2) were construction land ratio, distance railway, SHDI, etc.; (3) best pathway in 2025, 2030 2035 would be SSPs5, SSPs2 SSPs4 respectively. can provide theoretical support maximizing benefits area.
Язык: Английский
Процитировано
12Land Degradation and Development, Год журнала: 2024, Номер 35(6), С. 2256 - 2273
Опубликована: Фев. 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.
Язык: Английский
Процитировано
4Journal of Geographical Sciences, Год журнала: 2024, Номер 34(7), С. 1415 - 1436
Опубликована: Июль 1, 2024
Язык: Английский
Процитировано
4Ecological Indicators, Год журнала: 2023, Номер 154, С. 110742 - 110742
Опубликована: Авг. 10, 2023
The ecological conservation red line (ECRL) framework plays an increasingly important role in biodiversity practices China. Following the implementation of ECRL, it is essential to systematically assess effectiveness this national policy mitigating negative impacts human disturbances on habitat quality at landscape and regional levels. Combined with remote sensing ground survey data, Integrated Valuation Ecosystem Services Trade-off (InVEST) model was used evaluate impact six major anthropogenic activities, built-up land, roads, mining crop water pollution, grazing, degradation two grassland river corridors (Kherlen River corridor Wuerxun corridor) Northeastern Then, different management scenarios assessed based ECRL framework. Our findings indicated that over 80% attributed grazing followed by pollution. Built-up land played minor roles causing degradation. Comparing scenario no scenario, Kherlen reduced 17.86%, improved 11.11%. Similarly, corridor, compared priority 69.23%, 2.38% scenario. Moreover, optimized including prohibition, enclosure, restoration habitats, further both corridors, resulting a 12.70% improvement for 3.57% corridor. work provides quantitative optimizing measures ECRL.
Язык: Английский
Процитировано
9Ecological Indicators, Год журнала: 2024, Номер 162, С. 112013 - 112013
Опубликована: Апрель 12, 2024
Ecosystem surface plays an important role in maintaining ecological balance and supporting economic development. Accurate effective identification of ecosystem with different uses allows for better categorization management contributes to the orderly restoration ecosystems. In this study, Human Footprint Index (HFI) is constructed by comprehensively considering factors biodiversity, human activity impacts, geometric features, combined multi-factor knowledge constraints such as changes land cover. We carry out accurate analysis surfaces, using Changzhou City's tree cover a test area. The results show that: (1) degree affected activities City varies greatly, Gross Domestic Product (GDP) elevation are main affecting level HFI. (2) distribution native artificial uneven, more than 95% surfaces distributed peripheral areas city higher elevations farther away from center. Artificial likely be found high GDP frequent activities, mainly urban centers large proportion buildings along roads. (3) overall accuracy 83.20%, which center area slightly lower agricultural production land. study provide method objective, surface, can improve enthusiasm local governments fulfilling their protection duties contribute efficient achievement goal civilization construction.
Язык: Английский
Процитировано
3Journal of Hydrology Regional Studies, Год журнала: 2025, Номер 58, С. 102208 - 102208
Опубликована: Янв. 28, 2025
Язык: Английский
Процитировано
0Land Degradation and Development, Год журнала: 2025, Номер unknown
Опубликована: Март 30, 2025
ABSTRACT Ecological environment plays an indispensable role in sustaining and developing human society natural ecosystems, while it continually suffers from degradation caused by activities. Land Use Cover (LULC), which serves as a proxy of the intensity intervention, has been regarded equally important factor affecting habitat quality climate change. Despite exploring close relationship between LULC changes quality, current research remains largely theoretical does not delve into management measures following degradation. Consequently, its practical implications for ecological conservation are limited. In this study, taking Northeast China, prominent contradiction protection, study area, InVEST model was introduced to assess based on data 2000 2020. Then, Geographically Weighted Regression (GWR) employed analyze explanatory variables change terms The results indicated that China 2020 mainly occurred cultivated land, artificial grassland, forestland. Habitat demonstrated progressive decline yet remained at intermediate level exhibited significant spatio‐temporal heterogeneity whole. Furthermore, regression there correlation Finally, classified three functional zones K‐Means clustering analysis: coordinated development zone, key each with own characteristics priorities. findings can provide scientific reference rational use land zoning China.
Язык: Английский
Процитировано
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