Spatio-temporal variations of habitat quality and its driving factors in the Yangtze River Delta region of China

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 52, P. e02978 - e02978

Published: May 5, 2024

Global biodiversity is still being lost at an alarming rate. How to slow the destruction of habitats protect urgent issue. As one most rapidly developing and active economic regions in China, habitat quality assessment impact factor analysis Yangtze River Delta region are important for promoting socio-economic development improving local ecological environment. The InVEST mode Geodetector method was used explore spatial temporal variations its driving factors region. results show that averaged index showed a decreasing trend during 1980-2020, which accounted about 71.86% overall pattern high south low north, regional distribution dominated. Moran's I values were larger than 0.8 showing significant positive correlation degree clustering. high-high clusters mainly located southwest study area, while low-low north. During 2025-2060, under three scenarios exhibited SSP1-RCP19> SSP2-RCP45> SSP5-RCP85 all north area increasing south. Under two SSP1-RCP19 SSP2-RCP45, generally trend, scenario, it trend. slope, DEM, precipitation, construction land their interactions played dominant role spatio-temporal quality. Therefore, precipitation should be considered when formulating protection countermeasures.

Language: Английский

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Evaluating urban climate resilience in the Yangtze River Delta urban agglomeration: A novel method integrating the DPSIR model and Sustainable Development Goals

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 376, P. 124517 - 124517

Published: Feb. 18, 2025

Language: Английский

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Evaluating the effects of future urban expansion on ecosystem services in the Yangtze River Delta urban agglomeration under the shared socioeconomic pathways

Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111831 - 111831

Published: March 1, 2024

Assessing the effects of future urban expansion on ecosystem services (ESs) is essential for sustainability cities worldwide. Nonetheless, evaluating these ESs remains challenging due to uncertainties associated with socioeconomic development and intricate nature expansion. In this research, we initially integrated localized Shared Socioeconomic Pathways (SSPs) Land Use Scenario Dynamics-urban (LUSD-urban) model project Yangtze River Delta agglomeration (YRDUA). Subsequently, quantified impacts utilizing Integrated Valuation Tradeoffs (InVEST) model. The outcomes indicate that land in YRDUA projected expand by 1,020.19–12,282.04 km2 at a growth rate 3.71–44.67% from 2022 2050. Simultaneously, habitat quality (HQ), carbon storage (CS), water retention (WR), air purification (AP) are expected decline 0.34–4.24%, 0.48–5.82%, 0.39–4.75% 0.20–2.45%, correspondingly. Most importantly, primary cause ES losses conversion cropland land, accounting more than 90% total losses. results offer crucial contextual insights support synergistic policies urbanization ecological conservation under increased climate change.

Language: Английский

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Predicting land cover driven ecosystem service value using artificial neural network model

Remote Sensing Applications Society and Environment, Journal Year: 2024, Volume and Issue: 34, P. 101180 - 101180

Published: March 5, 2024

Language: Английский

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Contribution of ICT Development to Disaster Risk Reduction from a Spatial Perspective: A Preliminary Literature Review

Journal of Disaster Research, Journal Year: 2025, Volume and Issue: 20(1), P. 89 - 110

Published: Jan. 31, 2025

Information and communication technology (ICT) development has changed human activity behavior, including spatial choices for space. This phenomenon contributed to disaster risk reduction because similar dependent variables related space place were represented in land use. In disasters, use can affect the level. study explored contribution correlation patterns of ICT efforts from a perspective. used 12,155 articles Scopus database as data analyzed using systematic review meta-analysis. found that had possibility indirectly through virtual two forms: location efficiency changes its changing vulnerability, hazard, capacity face disasters.

Language: Английский

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Quantitative Analysis of Sponge City Construction and Function in the Main Urban Area of Chengdu

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 933 - 933

Published: March 22, 2025

This study utilizes ArcGIS, the InVEST model, and SCS model to analyze remote sensing data from central urban areas of Chengdu. The analysis simulates water yield runoff within area while calculating conservation capacity for each land use type using balance method. aims address challenges faced by Chengdu in implementing its sponge city initiatives. results reveal that spatial distribution direct generally follows a pattern “low periphery high center”. Transportation, commercial, industrial, residential types account 74.7% total surface area, emphasizing their importance rainwater management development. Water varies across different types, with bodies exhibiting lowest artificial highest capacity. initially exhibited downward trend before increasing, type, climatic factors, vegetation coverage identified as primary drivers yield. gradually decreased, higher values observed east south lower north west. These trends differences can be attributed expansion alterations cover. Based on these findings, this assessed risk waterlogging provided recommendations optimizing low-impact development (LID) strategies. provides scientific foundation initiatives, mitigation, strategies

Language: Английский

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Optimization of tropical rainforest ecosystem management: implications from the responses of ecosystem service values to landscape pattern changes in Hainan Tropical Rainforest National Park, China, over the past 40 years

Frontiers in Forests and Global Change, Journal Year: 2023, Volume and Issue: 6

Published: Aug. 10, 2023

Exploring the comprehensive impact of landscape pattern changes on regional ecosystem service values (ESVs) over a long time series is significant for optimizing management. This study took Hainan Tropical Rainforest National Park (HTRNP) as case and first assessed its five vital services (ESs): water supply (WS), purification (WP), carbon storage (CS), soil retention (SR), habitat quality (HQ). Based ESs assessment results, we further calculated their ESVs quantified responses to during 1980–2020. The results revealed that: (1) Forestland basal type HTRNP. Landscape patterns changed significantly after 2000; proportion both cultivated land grassland decreased, while forestland, water, construction increased; with areas dominance forestland increased, agglomeration connectivity overall increased homogenization decreased. (2) WS, WP, CS, SR tended weaken, HQ strengthen. spatial heterogeneities WS time. HQ, SR, CS are main contributors total ESV. During 1980–2020, four showed decreasing trend; HQ’s ESV increase, decrease. (3) increase in was reason that WP’s CS’s scale relatively small, so impacts were limited. WS’s SR’s insignificant due topographic climatic factors. provide reference managing HTRNP’s improve integrated benefits crucial ESs.

Language: Английский

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Spatial and temporal changes in ecosystem services value and analysis of driving factors in the Yangtze River Delta Region

Open Geosciences, Journal Year: 2024, Volume and Issue: 16(1)

Published: Jan. 1, 2024

Abstract Based on land use classification data for the Yangtze River Delta region in 2000, 2015, and 2020, this study aims to explore spatial temporal evolution of ecosystem services value (ESV) region. By analyzing structure its dynamic changes, an ESV model is constructed. Furthermore, utilizes a geodetector analyze driving factors The findings are as follows: (1) From 2000 arable was predominant type (2) showed upward trend followed by decline from 2020. Regulating supporting have always been core functions region, with hydrological regulation contributing most. (3) perspective, there were significant differences distribution AESV (aggregated value) changes various cities within evident, decreasing observed most cities. (4) sensitivity index each less than 1, forest exhibiting highest having greatest impact ESV. (5) Geodetector analysis revealed that influenced combination regional natural factors, economic social interaction among different forces significantly enhances heterogeneity

Language: Английский

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Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas

Sustainability, Journal Year: 2024, Volume and Issue: 16(8), P. 3260 - 3260

Published: April 13, 2024

With the acceleration of urbanization, ecosystem around cities is facing severe challenges. The drastic changes in landscape pattern, especially urban–suburban areas, are usually regarded as one main drivers. However, spatiotemporal heterogeneous impacts patterns on services this region remain unclear. To address issue, we propose a novel framework integrating InVEST-based service assessment and weighted regression (STWR)-based analysis heterogeneity apply it to empirical study Fuzhou City from 2000 2020. It first utilized InVEST model build comprehensive index (CES) five aspects (i.e., habitat quality, carbon storage, water yield, soil retention, purification capacity). Then, four pattern indices (LPIs) patch density (PD), area-weighted mean fractal dimension (FRAC_AM), splitting (SPLIT), Shannon’s diversity (SHDI) index) were selected STWR model. We compared analyzed differences spatial coefficient surfaces significance tests generated by urban, urban–suburban, rural areas. Results show that following: (1) CES shows an upward trend urban area with significant gradient differences. (2) Compared other LPIs areas more fragmentation, discreteness, diversity, indicating socioeconomic activities. (3) Although LPIs’ change over time (increasing 2005 2010 2020 but decreasing 2015), their effects relatively low significantly lower than (4) Interestingly, LPI coefficients near boundary seem significant. (5) This can effectively reveal relationships between various CES, thus guiding concrete policies measures support decision-making for improving surrounding through shaping patterns.

Language: Английский

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Dynamic land cover and ecosystem service changes in global coastal deltas under future climate scenarios

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 258, P. 107384 - 107384

Published: Sept. 19, 2024

Language: Английский

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