Optimal region connection: Establishing effective ecological corridors for biodiversity conservation in Yunnan Province, China

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112918 - 112918

Published: Dec. 1, 2024

Language: Английский

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Study on the Spatiotemporal Evolution of Habitat Quality in Highly Urbanized Areas Based on Bayesian Networks: A Case Study from Shenzhen, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10993 - 10993

Published: Dec. 15, 2024

Rapid urbanization presents significant challenges to biodiversity through habitat degradation, fragmentation, and loss. This study focuses on Shenzhen, China, a highly urbanized region experiencing substantial land use changes facing considerable risk of decline, investigate the dynamics quality over two critical periods: 2010–2015 2015–2020. Using InVEST (Integrated Valuation Ecosystem Services Trade-offs) model for assessment Bayesian networks analyze causal relationships, this research offers an innovative comparison between recovery degradation across these phases. Results indicate that from 2010 2015, localized was achieved 0.53% area due restoration policies, yet overall trend remained negative. During 2015–2020 period, intensified (7.19%) compared (5.7%); notably, 70.6% areas had been previously restored are now once again. re-degradation highlights instability earlier efforts under ongoing urban pressure. By integrating spatial analysis with network modeling, provides nuanced understanding where why initial were unsuccessful, identifying susceptible persistent degradation. The emphasizes expansion—particularly development construction land, primary driver while ecological sensitivity played crucial role in determining long-term success efforts. approach valuable insights designing more effective, sustainable conservation strategies rapidly urbanizing regions.

Language: Английский

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Assessment of Carbon Storage in a Multifunctional Landscape: A Case Study of Central Asia

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 801 - 801

Published: June 5, 2024

The robust carbon storage (CS) capacity of terrestrial ecosystems is crucial in mitigating climate change and holds indispensable significance for global sustainable development. diverse topography Central Asia (CA), comprising oases, grasslands, forests, deserts, glaciers, has fostered industries like animal husbandry, irrigation agriculture, mining. However, the fragile arid CA render it highly sensitive to human activities, with their impact on development multifunctional landscapes this region remaining ambiguous future. This study linked land use changes multiple socio-economic ecological indicators predict dynamics CS CA. findings reveal a significant spatial heterogeneity CS, considerable variations among five countries driven by differences landscape composition. Kyrgyzstan Kazakhstan, characterized demonstrate higher per unit area, whereas Turkmenistan, dominated barren land, exhibits lowest area. Strategies involving innovative improved biodiversity conservation have proven effective augmenting CS. Meanwhile, high economic population growth stimulates expansion cropland urban reducing ecosystems. contributes more precise assessment Furthermore, elucidating interrelationships between future environmental CA, offers solutions enhancing

Language: Английский

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

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

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Does land use change decline the regional ecosystem health maintenance? Case study in subtropical coastal region, Fuzhou, China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 373, P. 123631 - 123631

Published: Dec. 16, 2024

Language: Английский

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