Spatiotemporal Analysis of the Coupling Relationship between Habitat Quality and Urbanization in the Lower Yellow River DOI Open Access
Jinxin Sun, Mei Han,

Fanbiao Kong

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(6), P. 4734 - 4734

Published: March 8, 2023

Natural habitats are damaged by human interference to varying degrees during the urbanization process, which can impede a region’s high-quality development. In this study, we examined spatial–temporal evolution characteristics of habitat quality and in Lower Yellow River from 2000 2020 using integrated valuation ecosystem services tradeoffs (InVEST) model comprehensive indicator method. We also evaluated coupling relationship between coordination degree model. The findings indicate following aspects: (1) Between 2020, River’s was typically mediocre, with steady declining trend. majority cities displayed trend toward quality. (2) Both subsystem level 34 have demonstrated consistent growth tendency. is most affected economic among subsystems. (3) revealed an ongoing growth. cities, has been evolving coordination. results study some reference value for ameliorating solving urbanization.

Language: Английский

Impacts and predictions of urban expansion on habitat quality in the densely populated areas: A case study of the Yellow River Basin, China DOI Creative Commons
Jianjun Tang, Liang Zhou, Xuewei Dang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110320 - 110320

Published: May 6, 2023

The conflict between the human-environment is more prominent in densely populated areas (DPA) where urban expansion increasingly disturbing ecological environment, resulting significant damage to habitat quality (HQ). However, a few studies have examined impacts of on HQ DPA under different scenarios, especailly Yellow River Basin. Therefore, we quantitatively analyzed from 1990 2018 by coupling FLUS-InVEST model and predicted changes 2030. results showed that: (1) rate was 46.4%. Among them, Hohhot-Baotou-Ordos-Yulin (HBOY) agglomeration expanded at highest rate, with an intensity 0.16%. pattern mainly edge expansion. (2) overall decreased 1.6%. patch level affected expansion, higher-level patches were easily shifted lower-level patches. Low increased 38.6% while high gradually decreased. (3) Under natural development scenario, 28.9% 2.9%. only descesaed 0.8% constraint indicating that constrained way great benefit improve HQ. These provide reference for conservation sustainable DPA.

Language: Английский

Citations

59

Spatio-temporal variations of habitat quality and its driving factors in the Yangtze River Delta region of China DOI Creative Commons
Shulin Chen, Xiaotong Liu

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

Citations

17

Habitat quality dynamics in China's first group of national parks in recent four decades: Evidence from land use and land cover changes DOI
Xin Chen, Le Yu, Yue Cao

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 325, P. 116505 - 116505

Published: Oct. 18, 2022

Language: Английский

Citations

58

Response of habitat quality to urban spatial morphological structure in multi-mountainous city DOI Creative Commons

Wenfei Wei,

Yu Bao, Zhitai Wang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 146, P. 109877 - 109877

Published: Jan. 10, 2023

Revealing the relationship between urban spatial morphological structure (USMS) and habitat quality (HQ) is of great significance for high-quality development. In this study, central area a typical multi-mountainous city (Guiyang, China) was taken as research area. Two-dimensional (2D) three-dimensional (3D) characteristic indicators system USMS constructed. The InVEST model used to evaluate HQ in study area, pattern characteristics were analyzed. Finally, response revealed through Pearson correlation analysis curve fitting. results showed that: (1) average level low aggregation effect obvious; distribution difference high value significant; mainly distributed where large green space (UGS) remnant mountains (URMs) are located, while high-intensity construction (2)The URMs have significant impact on within city, intelligibility(I), permeability, degree, traffic attraction potential poor; buffer zone 4 km center core development, 15 rapid development (3)Among indicators, Choice(C) significantly positively correlated with HQ, Connectivity(Con), I, Average height(AVH), Otherness(O) negatively HQ. (4)Stepwise regression that could explain well, values fitting coefficient R2 0.975, 0.837 0.945 2008, 2013 2018, respectively. (5)There quadratic function principal component factor f, there threshold effect, thresholds 0.798 0.905 0.474 This confirmed demonstrates existence threshold, which has important reference biodiversity conservation

Language: Английский

Citations

26

A Prediction–Interaction–Driving Framework for Ecosystem Services Under Climate Change and Human Activities: A Case Study of Zoigê County DOI Creative Commons
Wanting Zeng, Li He, Zhengwei He

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 441 - 441

Published: Feb. 20, 2025

Under climate change and human activities, ecosystem service (ES) research lacks systematic approaches scientific depth. This study develops a comprehensive framework integrating advanced models to predict ESs, analyze interactions, identify key drivers, assess spatial effects on the Zoigê Plateau. The results indicate following: (1) From 2000 2020 across three 2040 scenarios, water conservation (WC) improves, while carbon storage (CS) habitat quality (HQ) decline, leading overall ES degradation. Core areas face rising degradation risks from 9% 29% under increasing environmental stress (SSP119 SSP585). (2) importance follows HQ > CS SC WC, with bivariate interactions outperforming single-factor effects. Future scenarios show weakened correlating higher ecological stress, indicating stability risks. (3) Land use (>40% explanatory power) is primary driver, urban expansion, slope, evapotranspiration, precipitation contribute (6–12%). (4) drivers showed weak patterns but became more stable future suggesting stronger control. provides methodological paradigm for analysis supports planning in alpine wetland–grassland regions.

Language: Английский

Citations

1

Spatiotemporal Variation in the Yangtze River Delta Urban Agglomeration from 1980 to 2020 and Future Trends in Ecosystem Services DOI Creative Commons
Yongzheng Wang, Xinchen Gu, Haoran Yu

et al.

Land, Journal Year: 2023, Volume and Issue: 12(4), P. 929 - 929

Published: April 21, 2023

Over the past 40 years of reform and opening up, human activities in Yangtze River Delta region have caused major changes land use patterns ecosystem functions. Clarifying spatiotemporal change characteristics future development trends service functions is basis for rational utilization. In this study, InVEST model CASA were used to calculate habitat quality, water conservation, carbon sequestration oxygen release, soil conservation services urban agglomeration from 1980 2020. The spatial pattern, law, trend these analyzed using Theil–Sen median analysis, Mann–Kendall test, Hurst index analysis. results show that four types ecosystems (habitat conservation) exhibited an overall pattern being high southwest mountainous area low northeast plain, conversion constructed agriculture was most frequent type over years. From 2020, average level quality showed a downward expected continue deteriorate future. Water fluctuating upward trend, with latter two primarily predicted improvement. exhibit gradient effects horizontal differentiation. decline more pronounced vicinity large cities. It thus necessary accelerate transformation economic model, abandon extensive urbanization promote high-quality on improving resource environmental carrying capacities.

Language: Английский

Citations

19

Integrating habitat risk and landscape resilience in forest protection and restoration planning for biodiversity conservation DOI
Chuandong Tan, Bo Xu, Ge Hong

et al.

Landscape and Urban Planning, Journal Year: 2024, Volume and Issue: 248, P. 105111 - 105111

Published: May 13, 2024

Language: Английский

Citations

8

Spatiotemporal Variation and Driving Factors Analysis of Habitat Quality: A Case Study in Harbin, China DOI Creative Commons
Yuxin Qi, Yuandong Hu

Land, Journal Year: 2024, Volume and Issue: 13(1), P. 67 - 67

Published: Jan. 6, 2024

Biodiversity is profoundly influenced by habitat quality, and Harbin, a provincial capital situated in cold climate zone, stands out as one of China’s regions most susceptible to the repercussions change. To ensure city’s continued sustainable growth, thorough assessment quality must be conducted. This study employs comprehensive approach integrating InVEST model, PLUS landscape pattern analysis, geographic detector, geographically weighted regression model. The goal assess how land use have changed Harbin City, investigate factors contributing spatial heterogeneity thoroughly examine evolutionary patterns under inertial development scenario from 2030 2050, propose optimization strategies. There are four key findings. First, 2000 2020, agricultural forest were City’s two prevalent types. notable transition occurred grassland, expansion construction primarily resulted its encroachment into areas. Second, within area study, increased while simultaneously experiencing decrease connectivity, had tendency toward more fragmented distribution. Third, overall rose between 2020 but declined 2050. was “weak west high east” distribution quality. Fourth, population density has impact on with NDVI GDP close behind. Conversely, precipitation slope comparatively smaller influences Natural combined favorable influence across research region terms discernibly detrimental impact. Given these findings, this suggests targeted strategies optimize These recommendations relevant not only for biodiversity conservation also an ecologically community, particularly region.

Language: Английский

Citations

7

Assessing direct and indirect impacts of human activities on natural habitats in the Qinghai-Tibet Plateau from 2000 to 2020 DOI Creative Commons

Chengrui Mao,

Qiang Ren, Chunyang He

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 157, P. 111217 - 111217

Published: Nov. 6, 2023

The natural habitats of the Qinghai-Tibet Plateau (QTP) are fragile and vulnerable to human activities. Moreover, activities in QTP have increased rapidly over past few decades. Thus, it is essential effectively evaluate impacts on QTP. However, existing studies not adequately quantified comprehensive there a lack analysis direct indirect In this study, we used footprint index reflect quantitatively analysed both at multiple scales. results indicated that by 6.08% from 2000 2020. resulted habitat quality losses 0.75%, including 0.41% 0.34% impacts. high-intensity had greatest habitats, resulting 0.43% reduction quality, which accounted for 57.40% total adverse further hampered achievement biodiversity conservation targets Therefore, recommend future efforts should focus especially

Language: Английский

Citations

14

Impact of touristification and landscape pattern on habitat quality in the Longji Rice Terrace Ecosystem, southern China, based on geographically weighted regression models DOI Creative Commons
Hongli Cao, Zhongjun Wu,

Wenjun Zheng

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112259 - 112259

Published: June 24, 2024

Although the roles of tourism development and landscape value in conservation rice terraces have become increasingly important recent years, still face abandonment desertification. Habitat quality (HQ) assessments evaluate biodiversity status terraces; however, spatial temporal evolution terrace HQ influencing factors remains poorly understood. Here, a case study was performed Longji Terraces, Longsheng, Guangxi, China. Land use land cover (LULC) remote sensing data for 1985–2020 (every 5 years) were obtained, InVEST-HQ model used to map patterns characteristics HQ. A pattern index indicators combined construct geographically weighted regression (GWR) models explore impact on Our findings indicated that: (1) forests are dominant patches because they better protected. Forest area changes exhibited consistency, meaning that as forest increased, improved. (2) Terraces optimum overall, with multi-year average 0.977 insignificant inter-annual variations. Spatially, geographical distribution characterised by 'low local levels, high global level.' However, percentage degraded areas final period reached 68 %, which is significantly greater than improved (28 %). Moreover, had more overlap administrative villages present superior development. (3) negatively correlated night-time light (NTL), showed periodic (first negative, then positive) Shannon's diversity (SHDI), positively contagion (CONTAG), transitions (initially positive, negative) mean patch (AREA_MN), population (POP), density (PD). (4) Over time, weaker clustering increased dispersion. In addition, influence from 2000 2020, R2 increasing 0.42 0.95. The results establish scientific foundation sustainable resources.

Language: Английский

Citations

5