Human and natural factors affect habitat quality in ecologically fragile areas: evidence from Songnen Plain, China DOI Creative Commons

Xiuli Sun,

Yuehui Li,

Yuanman Hu

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 19, 2024

Habitat quality (HQ) has been progressively degrading worldwide in recent decades due to rapid climate change and intensive human activities. These changes not only threaten biodiversity ecosystem functions, but also impact socio-economic development. Therefore, a few studies have focused on the dynamics of HQ its natural anthropogenic drivers. However, many contributions failed reveal how these factors interact HQ, especially ecologically fragile areas. We estimated Songnen Plain Northeast China, an area, from 2000 2020 using InVEST model explored response interactions (topography, climate, NDVI) (nighttime light index, population density) influencing Structural Equation Modelling (SEM). The results showed that 1) decreased constantly 2018, then increased slightly 2018 2020. 2) In terms spatial distribution, appeared be highly heterogeneous with pattern 'high east - low center high west' at each time point. high-HQ areas were significantly clustered eastern parts dense forests, while low-HQ central dominated by large number man-made patches agriculture towns or cities. 3) patterns are mainly affected including environment disturbance. Natural had greater than disturbance, disturbance significant negative among all 4 points. Furthermore, intensity various habitat quality, as well positive effects drivers changed over time. most important factor was temperature topography 2010, This study can provide suggestions for future ecological protection restoration similar

Language: Английский

Rapid urbanization decelerates regional net anthropogenic phosphorus input: Evidence from the Chengdu-Chongqing urban agglomeration in China DOI

Wei Pei,

Junlan Yang,

Lintao Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124171 - 124171

Published: Jan. 19, 2025

Language: Английский

Citations

0
Impact of Urban Shrinkage on Pollution Reduction and Carbon Mitigation Synergy: Spatial Heterogeneity and Interaction Effects in Chinese Cities DOI Creative Commons
Jianwen Zhang,

Meichen Fu,

Li Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 537 - 537

Published: March 4, 2025

Increasing air pollution, rising carbon emissions, and urban shrinkage pose significant challenges for sustainable development in China. Exploring the relationship between synergy effect of pollution reduction mitigation (SPRCR) can contribute to systematically addressing green development. However, few studies have analyzed all three factors within a unified analytical framework. Therefore, our study takes 288 cities at prefecture level above China as research objects endeavors apply Coupling Coordination Degree (CCD), Multi-scale Geographically Weighted Regression (MGWR), Geodetector (v2.1.0) analyze influence on SPRCR. From analysis, it was demonstrated that (1) general, inhibit an improvement synergistic degree SPRCR, but inhibition is weak. (2) The this shows spatial heterogeneity, with negative impact SPRCR mainly concentrated northeast region. (3) interaction construction land expansion more than other factors, enhancement most obvious. Given regional differences development, provides valuable insights promoting

Language: Английский

Citations

0
Spatiotemporal Evolution and Coupling Analysis of Human Footprints and Habitat Quality: Evidence of 21 Consecutive Years in China DOI Creative Commons
Qiang Xue, Lu Lu, Yang Zhang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 980 - 980

Published: July 3, 2024

Assessing the spatiotemporal evolution characteristics of habitat quality, human footprint, and coupling coordination between two systems in continuous cycles on national scales is great significance to maintaining biodiversity sustainable development. This study took China as an example, based land-use data from 2000 2020, using Integrated Valuation Ecosystem Services Tradeoffs—Habitat Quality (InVEST-HQ) model footprint framework, trend analysis methods such Theil–Sen Median Analysis, Mann–Kendall Test, Grid Transition Matrix (GTM) Method combining four-quadrant degree (CCDM) reveal CCDM for 21 consecutive years response relationship quality footprint. The results show that land cover change area 2020 accounted 4.2% total area. Both footprints exhibit apparent spatial heterogeneity along “Hu Line” generally fall into evolutionary stages: “degradation–improvement”. proportions degradation improvement were 14.37% 8.36%, respectively, mutation point was year 2013; average increased by 16.75%, decreased 63.40% 21.53%, respectively. occurred 2014. right side primarily hosts areas with high values coordinated index systems. four quadrants have following characteristics: “quadrant IV dominant, II III left are quadrant I located transition zone ‘Hu Line’”. (CCD) a weak, nonlinear “inverted U-shaped” relationship. provides compelling evidence China, scientific decision-making support protection economic development, maintains bottom line ecological security beautiful China.

Language: Английский

Citations

2
Human and natural factors affect habitat quality in ecologically fragile areas: evidence from Songnen Plain, China DOI Creative Commons

Xiuli Sun,

Yuehui Li,

Yuanman Hu

et al.

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Nov. 19, 2024

Habitat quality (HQ) has been progressively degrading worldwide in recent decades due to rapid climate change and intensive human activities. These changes not only threaten biodiversity ecosystem functions, but also impact socio-economic development. Therefore, a few studies have focused on the dynamics of HQ its natural anthropogenic drivers. However, many contributions failed reveal how these factors interact HQ, especially ecologically fragile areas. We estimated Songnen Plain Northeast China, an area, from 2000 2020 using InVEST model explored response interactions (topography, climate, NDVI) (nighttime light index, population density) influencing Structural Equation Modelling (SEM). The results showed that 1) decreased constantly 2018, then increased slightly 2018 2020. 2) In terms spatial distribution, appeared be highly heterogeneous with pattern 'high east - low center high west' at each time point. high-HQ areas were significantly clustered eastern parts dense forests, while low-HQ central dominated by large number man-made patches agriculture towns or cities. 3) patterns are mainly affected including environment disturbance. Natural had greater than disturbance, disturbance significant negative among all 4 points. Furthermore, intensity various habitat quality, as well positive effects drivers changed over time. most important factor was temperature topography 2010, This study can provide suggestions for future ecological protection restoration similar

Language: Английский

Citations

0