
Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112951 - 112951
Published: Dec. 28, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 170, P. 112951 - 112951
Published: Dec. 28, 2024
Language: Английский
Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112122 - 112122
Published: May 16, 2024
Identifying the spatial patterns and driving factors of ecosystem service supply–demand help to regulate optimize river basin's services' supply–demand, which is quite important for protection natural areas green development in China. The water yield services (WY), food production (FP), carbon sequestration (CS), soil retention (SR) Yiluo River Basin years 2000, 2010, 2020 were quantified using a variety models, including Integrated Valuation Ecosystem Services Trade-offs (InVEST), revised universal loss equation (RUSLE), ArcGIS, Canoco5. Additionally, features their spatial–temporal distributions identified. results combined with redundancy analysis (RDA) identify drivers supply/demand ratios three different years. There four main findings. (1) From 2000 2020, Basin's supply WY SR showed declining trend, while FP CS an increasing trend. In Basin, there was rising tendency demand decreasing trend WY, FP, SR. (2) Whereas ratio high-high aggregation regions (high supply-high demand) dominated relationship services. (3) population density forest land. Population had both positive negative effects on SR; however, only CS. Forest land effect ratios. (4) According principles clustering factors, divided into two first-level subzones upper middle portions Ecological Stability Zone lower reaches Reserve Zone, second-level Precautionary Reserve, Construction Management Control Zone. characterizedWe put forward practicable measures based characteristics balancing
Language: Английский
Citations
14Land, Journal Year: 2025, Volume and Issue: 14(3), P. 661 - 661
Published: March 20, 2025
Imbalanced supplies and demands of ecosystem services (ESSD) can negatively affect human well-being. Optimizing land use patterns in cities regions is, fact, essential to mitigate this challenge ensure sustainable development. In context, the present study aims analyze supply demand food production (FPs), carbon sequestration (CSs), recreation (RSs) a typical coal resource-based city (Huainan) China. addition, main influencing factors their driving mechanisms were further explored using geographical detector (Geo-Detector) multi-scale geographic weighted regression (MGWR) models. Future changes also predicted under traditional constrained development scenarios GeoSOS-FLUS model. The obtained results indicated that: (1) comprehensive service (ES) index decreased from 1.42 0.84, while increased 0.74 0.95 during 2010–2020 period; (2) urban rural areas had spatial disparities; (3) construction, ecological, cultivated strongly impacted ES; (4) implementing effectively protect ecological land, control expansion, improve ESSD relationships Huainan City. This provides valuable theoretical foundation methodological framework for future optimization efforts, as well enhancing sustainability mitigating imbalance between services.
Language: Английский
Citations
1Applied Geography, Journal Year: 2024, Volume and Issue: 172, P. 103435 - 103435
Published: Oct. 13, 2024
Language: Английский
Citations
6Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 481, P. 144148 - 144148
Published: Nov. 1, 2024
Language: Английский
Citations
4The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 959, P. 178292 - 178292
Published: Jan. 1, 2025
Language: Английский
Citations
0Human and Ecological Risk Assessment An International Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 30
Published: March 2, 2025
Language: Английский
Citations
0Environmental Science and Ecotechnology, Journal Year: 2025, Volume and Issue: 26, P. 100573 - 100573
Published: May 6, 2025
Language: Английский
Citations
0Land, Journal Year: 2024, Volume and Issue: 13(4), P. 510 - 510
Published: April 13, 2024
Quantifying the spatiotemporal patterns of coordination between ecosystem service supply and demand is vital for regional sustainable development. To reveal dynamic pattern (ES) in Lhasa River Basin, we quantified following four ESs using InVEST model from 2000 to 2018: carbon sequestration (CS), water conservation (WC), habitat quality (HQ), soil (SC). Using socio-economic data, including land development degree, GDP, population density, ES was quantified. The supply–demand ratio (ESDR) coupling degree (CCD) were used evaluate relationship demand. spatial autocorrelation analysis determine correlation changes degree. results indicate that distribution ESDR exhibited significant heterogeneity. area with far greater than always upstream River, while Chengguan District exceeded supply. Grasslands forests main contributors ESDRs, providing positive ESDRs three services, SC, HQ, WC, a total proportion above 80%. From 2018, mismatch gradually spreading upstream, areas had relatively high CCD. correlations CCD basin all showed statistically differences (p < 0.01). high–high aggregation concentrated northeast basin, low–low centered around District. This study provides reference values optimizing use ecologically vulnerable goal
Language: Английский
Citations
1Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Sept. 2, 2024
Human activities have profound impacts on land use and the supply–demand balance of ecosystem services (ESs). Various activities, such as urban construction, rural planning, inter-basin water transfer projects, continuously reshape patterns. This is a case study Anhui section Yangtze-Huaihe Water Diversion Project. Data from 2000, 2010, 2020 analyzed. Additionally, patch-generating simulation (PLUS) model utilized to quantify specific diversion project construction supply demand ESs. The results indicate that comprehensive dynamic attitude during period significantly increased, rising 0.16 13.79%, mainly affected forest, areas, land, unused land. Specifically, led significant changes in purification, biodiversity, and, especially, hydrological regulation services. migration residents impacted for also found correlation between ES demand: proportion cultivated positively correlated with balance, while grassland, areas negatively correlated. provides empirical data understanding environmental socio-economic large-scale projects offers scientific basis local mitigation control adverse impacts. Through quantitative analysis prediction, this research effectively bridges gap theory practice, providing important references sustainable regional development.
Language: Английский
Citations
0Sustainability, Journal Year: 2024, Volume and Issue: 16(22), P. 9641 - 9641
Published: Nov. 5, 2024
Predicting and analyzing the supply demand relationship of ecosystem services provides theoretical support for improvement ecological environment. This paper takes Bortala, a typical oasis city with fragile environment in arid northwest region, as case study. Based on GMOP-PLUS-InVEST coupled model, it predicts coupling coordination matching degree connection such habitat quality (HQ), carbon storage (CS), water yield (WY), soil erosion (SD) under four scenarios. The findings indicate that from 2020 to 2035, HQ, CS, WY have basically achieved at both scales. However, there is notable disparity resource production emission production. To ensure long-term balance service (ESSD), research area was ultimately divided into five zones: conservation zone, agriculture moderate development protection zone. It could offer insights guiding sustainable growth ecologically vulnerable zones future.
Language: Английский
Citations
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