Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China

GIScience & Remote Sensing, Journal Year: 2024, Volume and Issue: 61(1)

Published: Feb. 18, 2024

Vegetation, as a crucial carbon sink, is facing extensive degradation under the mounting pressures of urbanization and excessive resource exploitation, exacerbating imbalance between sources sinks. In response, ecological spatial network has emerged comprehensive conservation strategy to establish maintain connectivity interactions among diverse ecosystems, ensuring continuous provision services preservation biodiversity. A pivotal indicator in this context vegetation use efficiency (CUE), which elucidates relationship CO2 assimilation through photosynthesis biomass growth. study, utilizing remote sensing data, Yellow River Basin (YRB) was selected case study analyze CUE Carnegie Ames Stanford Approach (CASA) Light Use Efficiency-Normalized Difference Water Index (LUE-NDWI) models. Furthermore, Morphological Spatial Pattern Analysis (MSPA) method Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model were employed delineate for woodlands, shrublands, grasslands, while Minimum Cumulative Resistance (MCR) used identify corridors, forming an within YRB. Subsequently, interrelationship topological metrics analyzed, optimization strategies proposed based on significance structure function. The findings revealed that: (1) Vegetation exhibited spatially decreasing trend from western eastern regions, with patterns correlated types, temperature, precipitation distribution; (2) demonstrated denser configuration upper middle reaches sparser shorter pattern lower reaches, seamless all regions; (3) Significant correlations observed CUE, prompting adoption construction protection measures when functional importance deficient, enhancing augmentation corridors structural lacking. implementation these expected bolster functions network, facilitate cycling, exert positive far-reaching impact sustainable development environment

Language: Английский

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Multi-uncertainty river health assessment in the Loess Plateau based on a novel comprehensive similarity cloud model

Ecological Indicators, Journal Year: 2024, Volume and Issue: 161, P. 111928 - 111928

Published: April 1, 2024

With the development of related research on river health assessment, traditional assessment methods cannot solve uncertainty problems caused by diversified indicators and ambiguous weights. In order to comprehensively understand status in Loess Plateau results, this study takes Wuding River as object, constructs an indicator system incorporating ecological environment social functions river. The genetic algorithm-BP neural network was used establish a weight learning mechanism for indicators, calculated combining various weighting preferences. Based cloud model theory, sample data level were constructed, comprehensive similarity considering shape distance diagram developed identify River. spatial temporal variability sources pressure causing unhealthy analyzed. It is shown that basic status, which gradually decreases from upstream reaches downstream reaches. service better than attributes such water resources quality. are different. reaches, mainly comes natural successive declines production, slow governance soil erosion, poor stability midstream dowmstream interference human economic activities, include deterioration quality discharge fossil energy industry, destruction aquatic habitats, flood safety hazards insufficient standards control project design. addition, SDSCM provides managers with accurate risk information help them manage rivers more effectively.

Language: Английский

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Spatial–Temporal Evolution of Ecological Network Structure During 1967–2021 in Yongding River Floodplain

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 930 - 930

Published: April 24, 2025

Constructing a rational ecological network is crucial for balancing regional development with environmental protection. However, existing research typically emphasizes the analysis of overall patterns, lacking an in-depth exploration dynamic changes in key elements and interactions between different components. Using Yongding River floodplain as case study, this study applied morphological spatial pattern analysis, landscape connectivity metrics, biodiversity assessments to identify core source areas. Circuit theory was used delineate corridors analyze evolution across four years, while graph facilitated structural characteristics. Furthermore, areas restoration were identified within floodplain. We found that number patches area has remained relatively stable, though their total shown fluctuating decline, accounting approximately 10% Additionally, have decreased significantly from 1967 2021, marked reduction major corridors, leading increased resistance material energy flow corresponding decline stability. More importantly, current pinch points are primarily distributed bead-like along channel, barriers concentrated northern eastern floodplain, often at intersections dense road networks corridors. These critical fragmentation prioritized targeted protection efforts. Overall, advances our understanding distribution composition river corridor offers framework evaluating these through multidimensional optimization approach patches. At same time, we conducted providing valuable guidance future initiatives

Language: Английский

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Vegetation Restoration Outpaces Climate Change in Driving Evapotranspiration in the Wuding River Basin

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(9), P. 1577 - 1577

Published: April 29, 2025

For the management of water cycle, it is essential to comprehend evapotranspiration (ET) and how changes over time space, especially in relation vegetation. Here, using Priestley–Taylor Jet Propulsion Laboratory (PT-JPL) model, we explored spatiotemporal variations ET across different scales during 1982–2018 Wuding River Basin. We also quantitatively evaluated driving mechanisms climate vegetation on changes. Results showed that estimate by PT-JPL model good agreement (R2 = 0.71–0.84) with four products (PML, MOD16A2, GLASS, FLDAS). Overall, increased significantly at a rate 3.11 mm/year (p < 0.01). Spatially, WRB higher southeast lower northwest. Attribution analysis indicated restoration (leaf area index) was dominant driver (99.93% basin area, p 0.05), exhibiting both direct effects indirect mediation through Vapor Pressure Deficit. Temperature influences emerged predominantly feedbacks rather than climatic forcing. These findings establish as key regional ET, providing empirical support for optimizing revegetation strategies semi-arid environments.

Language: Английский

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Study on the relationship between ecological spatial network structure and regional carbon use Efficiency: A case study of the Wuding river basin

Ecological Indicators, Journal Year: 2023, Volume and Issue: 155, P. 110909 - 110909

Published: Sept. 11, 2023

Plant carbon use efficiency (CUE) reflects the assimilation ability and sequestration potential of organisms, is an important quantitative index in ecology. Therefore, investigating CUE can better understand explore ecosystem flux allocation patterns. In this paper, Wuding River Basin taken as research area. MODIS were used to calculate its spatiotemporal variations. Using remote sensing environmental indicators (RSEI) extract ecological sources, MCR model construct spatial network. By analogy with complex network theory, topological indicators, combine significance investigate relationship between these considering their significance. The results are follows: (1) average value slightly increased, overall increase southeastern part study area, minor changes southern parts, decrease western northern parts basin. (2) showed a strong positive correlation closeness centrality, betweenness harmonic negative eccentricity, while no significant was found component number.

Language: Английский

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Research on the Carbon Sequestration Capacity of Forest Ecological Network Topological Features and Network Optimization Based on Modification Recognition in the Yellow River Basin Mining Area: A Case Study of Jincheng City

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1986 - 1986

Published: May 31, 2024

Forests are vital for terrestrial ecosystems, providing crucial functions like carbon sequestration and water conservation. In the Yellow River Basin, where 70% of forest coverage is concentrated in middle reaches encompassing Sichuan, Shaanxi, Shanxi provinces, there exists significant potential coal production, with nine planned bases. This study centered on Jincheng City, Province, a representative mining area combined MSPA analysis method MCR model to generate five-period ecological network City from 1985 2022 under background calculate degree centrality, closeness betweenness eigenvector centrality; correlation between four centralities ability further explored. Simultaneously, employing RAND-ESU algorithm motif identification within networks, this integrates policies research specific conditions region optimize City. Findings reveal following. (1) Forest spatial networks: networks exhibit robust overall connectivity area, corridors spanning region. However, certain areas high resistance hinder key nodes mining. (2) Correlation topological indices services: From 2022, capacity City’s source increased year by year, positive correlations were observed centrality services, indicating strengthening trend over time. (3) Motif Recognition Ecological Network Optimization: During study, types motifs identified based number their connections using algorithm. These 3a, 4a, 4b, 4d (where represents letter connection type). Among these, 3a 4b play role. Based these practical considerations, optimization was performed existing enhance robustness network.

Language: Английский

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Spatiotemporal Changes and Driving Factors of Land Use/Land Cover (LULC) in the Wuding River Basin, China: Impacts of Ecological Restoration

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10453 - 10453

Published: Nov. 28, 2024

Over the past two decades, large-scale ecological restoration in Loess Plateau has significantly transformed land use and cover (LULC) Wuding River Basin (WRB), improving governance environmental conditions. This study examines spatiotemporal evolution of LULC its driving factors from 2000 to 2020, employing methods such as dynamic degree, transfer matrix, migration trajectory, geographical detector. Results show that (1) grassland dominates basin’s (78.16%), with decreases cropland desert areas, expansions grassland, forest, urban areas. Water bodies minimal fluctuations. The mean annual degree types (from highest lowest) is follows: forest > water grassland. overall fluctuated, initially decreasing (0.85%–0.68%), then increasing (0.68–0.89%), followed by another decline (0.89–0.30%). (2) patterns follow a northwest-to-southeast gradient, primary transitions secondary urban, bodies. Spatial mainly shifts westward northward. (3) Under single-factor influence, natural factors, especially slope (7.2–36.4%) precipitation (6.1–22.3%), are drivers changes, population density (7.9%) GDP (27.5%) influencing In interaction topography climate (40.5–66.1%) primarily drive increases cropland, while human activities (24.8–36.7%) influence area expansion. Desert reduction largely driven climatic (40.3%). between shows either bi-factorial or nonlinear enhancement effect, suggesting their combined offers stronger explanatory power than any single factor alone. highlights significant changes WRB, both activities, contributing enhanced sustainability.

Language: Английский

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