Spatiotemporal evolution effects of habitat quality with the conservation policies in the Upper Yangtze River, China

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

Published: Feb. 18, 2025

As a critical ecological barrier, the upper Yangtze River (UYR) holds strategic importance for national security. Understanding its habitat quality dynamics is essential evaluating conservation efforts. However, there relative lack of long-term monitoring studies on in this region, and influencing factors remain insufficiently explored. Using InVEST model, study quantified spatiotemporal evolution UYR from 1990 to 2020. Spatial autocorrelation analysis revealed distinct clustering patterns, spatial regression models identified driving mechanisms. Results showed that experienced sharp decline (1990–2000), especially Jinsha basin, followed by recovery due Natural Forest Protection (1998) Grain-for-Green (2000) programs. High-quality areas clustered Min-Tuo basins, while low-quality were concentrated urbanized regions Sichuan Basin Jialing basin. Elevation slope indirectly improved promoting vegetation, whereas temperature, PM2.5, population density, GDP had negative effects. Although policies alleviated pressures, require further restoration. This provides insights into policy effectiveness supports zonal management UYR.

Language: Английский

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Evaluation of Effectiveness and Multi-Scenario Analysis of Land Use Development Strategies and Ecological Protection Redlines on Carbon Storage in the Great Bay Area of China Using the PLUS-InVEST-PSM Model

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1918 - 1918

Published: Nov. 15, 2024

Land use change is a key factor affecting the carbon storage of terrestrial ecosystems. Most studies focus on formulating different land development strategies to mitigate adverse impacts development, while fewer discuss effectiveness these strategies. In context varying socio-economic and limited budgets for ecological conservation, evaluating essential selecting most suitable strategy. This research proposed Patch-Generating Use Simulation-Integrated Valuation Ecosystem Services Tradeoffs–Propensity Score Matching (PLUS-InVEST-PSM) model evaluate in Greater Bay Area China as case study. Specifically, this study analyzed historical changes from 2000 2020 mapped multi-scenario patterns with PLUS InVEST models 2030 2050. Then, employed PSM model, along series criteria (i.e., similar backgrounds parallel trends), strategy protection redlines compared natural The results indicate that redline can prevent decline storage. However, strategy, implementing policy may hinder growth within area. Compared PLUS-InVEST-PSM comparison between subregions could underestimate efficiencies evaluation, partly due underestimating negative impact urban These findings will help governments develop comprehensive systematic policies achieve peaking neutrality goals. Also, approach would further explore broader overall regional environment, such biodiversity ecosystem services.

Language: Английский

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Using a Light Gradient-Boosting Machine–Shapley Additive Explanations Model to Evaluate the Correlation Between Urban Blue–Green Space Landscape Spatial Patterns and Carbon Sequestration

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1965 - 1965

Published: Nov. 20, 2024

Global ecosystems are facing challenges posed by warming and excessive carbon emissions. Urban areas significantly contribute to emissions, highlighting the urgent need improve their ability sequester carbon. While prior studies have primarily examined sequestration benefits of single green or blue spaces, combined impact urban blue–green spaces (UBGSs) on remains underexplored. Meanwhile, rise machine learning provides new possibilities for assessing this nonlinear relationship. We conducted a study in Yangzhou area, collecting Landsat remote sensing data net primary productivity (NPP) at five-year intervals from 2001 2021. applied LightGBM-SHAP model systematically analyze correlation between UBGSs NPP, extracting key landscape metrics. The results indicated that metrics had varying impacts NPP. At patch type level, Percentage Landscape was positively correlated with NPP space, while contiguity index fractal dimension favored under certain conditions. contribution space lower, some indicators exhibiting negative correlations. contagion aggregation UBGS positive effects division shape were negatively enhance understanding relationship sequestration, provide reference planning.

Language: Английский

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The Analysis of the Spatial–Temporal Evolution and Driving Effect of Land Use Change on Carbon Storage in the Urban Agglomeration in the Middle Reaches of the Yangtze River

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3711 - 3711

Published: Dec. 22, 2024

Studying the temporal and spatial variation characteristics driving factors of carbon reserves in middle reaches Yangtze River urban agglomeration is crucial for achieving sustainable development regional ecological conservation against backdrop “double carbon” plan. Based on three periods land use data from 2000 to 2020, combined with InVEST model(Version 3.14.2), spatiotemporal changes storage were analyzed. The PLUS model (Version 1.3.5) was used predict scenarios natural development, eco-development 2035 estimate ecosystems under different scenarios, it optimal parameter GeoDetectors 4.4.2) reveal affecting differentiation storage. results show that farmland construction area increased forestland continued decrease 2020. Carbon decreased by 1 × 106 t, conversion being main decreasing drivers. developments 0.26 t 0.32 while 0.16 development. factor detector showed NDVI (Normalized Difference Vegetation Index) had highest explanatory power (q = 0.588), followed slope 0.454) elevation 0.391), environmental dominant. interaction affected multiple factors, intensity between each stronger than a single factor, synergy strongest, at q 0.646.

Language: Английский

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