Changes in Ecological–Production–Social Functions in Karst Areas: Insight from Guizhou Province, South China Karst

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 209 - 209

Published: Jan. 21, 2025

The ecosystems and human social systems in karst areas are undergoing rapid development. In this context, effectively identifying changes the various functions of is crucial for formulating accurate sustainable development policies. However, few studies have discussed ecological, production, within an integrated framework. Therefore, paper utilizes comprehensive evaluation methods, standard deviation classification, coordination models to analyze spatiotemporal these from 2000 2020. results indicate that over 20-year period, ecological function, production function shown annual growth trend with noticeable differentiation. dominant area undergone significant changes, being 2000, becoming 2010, taking lead Over past 20 years, lagged type has remained predominant combined type. levels among three significantly improved, between transitioning non-coordination 2010. Furthermore, achieved status This study enhances understanding multifunctional evolution provides theoretical practical guidance restoration, industrial development, reconstruction areas.

Language: Английский

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Land use modeling and habitat quality assessment under climate scenarios: A case study of the Poyang Lake basin

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113292 - 113292

Published: March 1, 2025

Language: Английский

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Potential Roles of Soil Viruses in Karst Forest Soil Carbon and Nitrogen Cycles

Forests, Journal Year: 2025, Volume and Issue: 16(5), P. 735 - 735

Published: April 25, 2025

Soil viruses, ubiquitous and abundant biological entities that are integral to microbial communities, exert pivotal impacts on ecosystem functionality, particularly within carbon (C) nitrogen (N) cycles, through intricate interactions with bacteria, archaea, fungi, other taxa. While their contributions soil dynamics increasingly elucidated, the specific roles of viruses in karst forest remain largely underexplored. Karst ecosystems (covering 15% global terrestrial surface) characterized by unique geological formations, thin patchy layers, high pH Ca2+, rapid hydrological dynamics, collectively fostering environmental conditions may shape viral ecology modulate C N cycling. This perspective synthesizes existing knowledge functions distinctive characteristics soil, proposing potential mechanisms which could influence cycling such fragile ecosystems. regulate cycles both directly indirectly via hosts, mainly including shaping community structure, mediating horizontal gene transfer metabolism, increasing availability alleviating nutrient limitations, promoting sequestration, mitigating climate change. work aims bridge biogeochemical providing insights into sustainable stewardship resilience. We delineate critical gaps propose future perspectives, advocating for targeted metagenomic long-term experimental studies diversity, virus–host-environment interactions, temporal dynamics. Specifically, we advocate following research priorities advance our understanding studies: (I) abundance, activity: characterizing activity forests using metagenomics complementary molecular approaches; (II) virus–host interactions: investigating between key taxa involved cycling; (III) impacts: quantifying lysis fluxes soil; (IV) modeling cycles: developing integrative models incorporate virus-mediated processes frameworks at different spatial scales. Such efforts essential validate hypothesized underlying mechanisms, offering a foundation nature-based solutions facilitate support ecological restoration vulnerable regions amid

Language: Английский

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Social-ecological heterogeneity drove contrasting tree cover restoration in South China Karst

Communications Earth & Environment, Journal Year: 2024, Volume and Issue: 5(1)

Published: Sept. 4, 2024

Language: Английский

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Precipitation sensitivity of vegetation growth in southern China depends on geological settings

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 643, P. 131916 - 131916

Published: Sept. 1, 2024

Language: Английский

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Deep Learning Approach for Studying Forest Types in Restored Karst Rocky Landscapes: A Case Study of Huajiang, China

Forests, Journal Year: 2024, Volume and Issue: 15(12), P. 2122 - 2122

Published: Dec. 1, 2024

Forest restoration landscapes are vital for restoring native habitats and enhancing ecosystem resilience. However, field monitoring (lasting months to years) in areas with complex surface affected by karst rocky desertification is time-consuming. To address this, forest structural parameters were introduced, training samples optimized excluding fragmented those a positive case ratio below 30%. The U-Net instance segmentation model ArcGIS Pro was then applied classify five landscape types: intact forest, agroforestry, planted unmanaged, managed naturally regenerated forests. achieved 2% improvement overall accuracy, unmanaged forests showing the highest increases (7%). Incorporating tree height age improved model’s accuracy 3.5% 1.9%, respectively, while biomass reduced it 2.9%. RGB imagery combined datasets most effective agroforestry forests, aboveground optimal suitable These findings provide practical efficient method offer scientific basis sustainable management regions topography fragile ecosystems.

Language: Английский

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Exploring the evolution and trade-off within a socio-ecological system in karst regions: A case study of Huanjiang County, China

Geography and sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 100256 - 100256

Published: Dec. 1, 2024

Language: Английский

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