Identifying the impact of global human activities expansion on natural habitats

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 140247 - 140247

Published: Dec. 23, 2023

Language: Английский

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Identifying driving factors of ecosystem service trade-offs in mountainous region of southwestern China across geomorphic and climatic types

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111520 - 111520

Published: Jan. 1, 2024

Mountainous areas have obvious spatial differences in topography and climate, which could further cause heterogeneity of ecosystem service (ES) trade-offs. The characteristics ES trade-offs had been extensively studied, however, the driving mechanism is still unclear mountainous areas. Focusing on Hengduan Mountain region (HDM) southwest China, this study quantified aggregation effects ESs their using a autocorrelation analysis, identified dominant drives for each trade-off across various geomorphological climatic zones. In terms distribution, significant positive correlation, was mainly manifested as high-high (H-H) low-low (L-L) value aggregations. factors some differed Land use type main factor flat paired water yield (WY) with soil conservation (SC) carbon storage (C). plateau (PLA) mid-subtropical (MS) climate zones, were land types WY C, respectively. Temperature higher contribution C SC For other trade-offs, constant different normalized difference vegetation index (NDVI) net primary productivity (NPP) between habitat quality (HQ) ESs, those among multiple drive, influence decreased increase topographic relief. Therefore, attention should be paid to ecological change future urban planning development. will help guide zoning regional achieve mountain sustainable

Language: Английский

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Ecosystem degradation or restoration? The evolving role of land use in China, 2000–2020

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(3)

Published: Feb. 26, 2024

Language: Английский

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Exploring nonstationary limiting factors in species habitat relationships

Ecological Modelling, Journal Year: 2024, Volume and Issue: 490, P. 110663 - 110663

Published: Feb. 29, 2024

Species distribution modeling is widely used to quantify and predict species-environment relationships. Most past applications methods in species assume context independent stationary relationships between patterns of occurrence environmental variables. There has been relatively little research investigating dependence nonstationarity modeling. In this paper we explore spatially varying limiting factors using high resolution telemetry data from 14 individual wildcat hybrids distributed across geographical gradients Scotland. (1) We proposed that nonstationary would be indicated by significant association statistical measures variability predictors the predictive importance those (2) further most factor observed related spatial variation a lesser amount mean value variables within study sites. (3) Additionally, anticipated when there was relationship an its as predictor positive, such higher associated with variable (following theory factors). (4) Conversely, roughly evenly split positive negative relationships, given could become either they are highly abundant or value, rare low particular landscape, depending on nature for ecological variable. (5) Finally, hypothesized frequency supported differ among groups, were directly key resources more likely than have indirect impacts hybrid habitat selection foraging. Our results show assumptions global, associations not met many models, requiring explicit consideration scale paradigm. found both standard deviation strong whether will differentially important occurrence. confirmed it sampled data, abundant. The differed essential ecology

Language: Английский

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Equivalent biodiversity area: A novel metric for No Net Loss success in Brazil’s changing biomes

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 355, P. 120540 - 120540

Published: March 1, 2024

Language: Английский

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Urbanization intensifies the imbalance between human development and biodiversity conservation: Insights from the coupling analysis of human activities and habitat quality

Land Degradation and Development, Journal Year: 2024, Volume and Issue: 35(11), P. 3606 - 3626

Published: May 3, 2024

Abstract Intensified human activities have been seriously threatening the structure and ecological processes of ecosystems, resulting in habitat degradation. Therefore, coordinating coupling between quality (HQ) is crucial for high‐quality sustainable regional development well‐being. This study evaluated HQ Pearl River Delta (PRD) urban agglomeration China from 2000 to 2020 using footprint index (HFI) integrated valuation ecosystem services tradeoffs model. Then, we employed bivariate spatial autocorrelation a coordination degree (CCD) model explore synergistic relationship HQ. The results show that changes were predominantly driven by activities. gradual outward expansion resulted significant Slight improvement restoration outskirts cannot offset losses caused urbanization. During period, high‐HQ low‐HFI clusters decreased 1.02%, while low‐HQ high‐HFI increased 4.67%, two main clustering types PRD. Despite CCD HFI after 2010, continuous characteristics significantly lagged type lagged. showed an inverted U‐shaped with CCD. peaks during 2000–2020 corresponded decreasing 0.711 0.566. indicates risk decoupling gradually increased. Furthermore, levels different exhibited varying over time. These reveal spatiotemporal dislocation urbanization induced nonstationarity Urbanization exacerbates imbalance biodiversity conservation. suggest reasonably delimiting boundaries, controlling scale sprawl, strengthening protection areas undergoing rapid In addition, advocate division barrier zones, buffer built‐up areas, each tailored management measures. Our findings can provide important reference agglomerations.

Language: Английский

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Construction of landscape eco-geological risk assessment framework in coal mining area using multi-source remote sensing data

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102635 - 102635

Published: May 8, 2024

High-intensity and large-scale mining activities have aggravated regional eco-geological risk. Therefore, it is significantly essential to conduct an assessment of the risk areas. Although some progress has been achieved in ecological studies, existing approaches are not entirely suitable for coal bases with high landscape fragmentation dense activities. Here, we developed a novel geological (LEGR) framework based on theories that include The selected 10 indicators, including slope, fluctuation, lithological hardness, soil type, FVC, RSEI, precipitation, biological abundance, distance road subsidence rate, calculated weights indicators by introducing AHP-CRITIC coupled weighting model. Then, impact disturbances quantified measuring losses. This was applied Shenfu area (SFMA), typical base northwest China. results indicated LEGR moderate SFMA whose spatial distribution exhibited increasing trend from southwest northeast. Besides, mainly aggregated subsidence. For environment monitoring at mine scale, multiscale geographically weighted regression (MGWR) model utilized analyzing relationship between within disturbed range mining. It provided valuable insights formulation environmental protection policies area.

Language: Английский

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Assessing the conservation effectiveness of theWorld’s protected areas: A habitat quality and human activities perspective

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 431, P. 139772 - 139772

Published: Nov. 17, 2023

Language: Английский

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Declining Urban–Rural Population Densities: How Do They Affect Natural Habitat?

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

ABSTRACT The decline in urban–rural population density (URPD) has consistently characterized China's rapid urbanization. Analyzing the spatiotemporal trends URPD and their effects on habitats within context of ecological civilization is crucial. However, quantitative studies are lacking, impact natural remains unclear. Therefore, using census land‐use data, we analyzed habitat China between 2000 2020. results show that urban (UPD), rural (RPD), quality have decreased by 11.7%, 40.2%, 2.1%, respectively, they all tend to shift lower values. UPD RPD vary exhibit regional heterogeneity. This study provides insights for promoting high‐quality development advancing civilization.

Language: Английский

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Predicting ancient city sites using GEE coupled with geographic element features and temporal spectral features: a case study of the Neolithic and Bronze Age of the Jianghan region, China

Published: Feb. 11, 2025

Language: Английский

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