Assessing Four Decades of Land Use and Land Cover Change: Policy Impacts and Environmental Dynamics in the Min River Basin, Fujian, China DOI Creative Commons
Weixuan Huang, Anil Shrestha,

Yifan Xie

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 11 - 11

Published: Dec. 25, 2024

Land use and land cover change (LULCC) is crucial in sustainable management. Over the past four decades, Min River Basin (MRB) has experienced significant LULCC. This study investigated dynamics of LULCC over these decades (1980–2020) discusses key drivers different stages. First, we mapped quantified changes (i.e., landscape indices) forests, croplands, urban areas, water bodies from 1980 to 2020 using China National Use/Cover Change (CNLUCC) ArcGIS Pro 2.3. Second, by analyzing existing policies, categorized trends 2020, delineating three distinct stages: (1) Economic Restoration (ER) stage (1978–1989), when ecological impacts on received limited policy attention; (2) Construction Ecological Protection Development (EPED) (1989–2012), which saw a increase forest coverage, primarily driven various central provincial environmental conservation such as Green for Grain “Three-Five-Seven Reforestation Project” Fujian; (3) Civilization (EC) (2012–2020), focus shifted expanding areas enhancing quality areas. However, cropland area decreased due urbanization policies population migration rural including above-mentioned policies. Thus, this highlights complex relationship between some had synergistic effects positive outcomes, while other showed conflicting outcomes. Our results emphasize importance integrated resource management provide insights policymakers balance development MRB.

Language: Английский

SCARF: A new algorithm for continuous prediction of biomass dynamics using machine learning and Landsat time series DOI Creative Commons
Yingchun Fu, Runhao Li, Zhe Zhu

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 314, P. 114348 - 114348

Published: Aug. 30, 2024

Language: Английский

Citations

10

Evolution and driver analysis of forest carbon stocks in karst mountainous areas of southwest China in the context of rocky desertification management DOI
Dan Luo, Zhongfa Zhou, Lu Zhang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108335 - 108335

Published: Sept. 11, 2024

Language: Английский

Citations

8

Can large-scale tree planting in China compensate for the loss of climate connectivity due to deforestation? DOI
Qiyao Han, Ming Li, Greg Keeffe

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172350 - 172350

Published: April 10, 2024

Language: Английский

Citations

4

High-resolution sensors and deep learning models for tree resource monitoring DOI
Martin Brandt, Jérôme Chave, Sizhuo Li

et al.

Nature Reviews Electrical Engineering, Journal Year: 2024, Volume and Issue: 2(1), P. 13 - 26

Published: Nov. 15, 2024

Language: Английский

Citations

4

Spatiotemporal patterns of annual clear-cutting distribution in tropical and subtropical regions of China with time series Landsat and CCDC DOI Creative Commons
Mingxing Zhou, Guiying Li, Dengsheng Lu

et al.

Geo-spatial Information Science, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: Jan. 17, 2025

Language: Английский

Citations

0

Nonlinear Spatiotemporal Variability of Gross Primary Production in China's Terrestrial Ecosystems Under Water Energy Constraints DOI
Youzhu Zhao, Qiuxiang Jiang, Zilong Wang

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 120919 - 120919

Published: Jan. 1, 2025

Language: Английский

Citations

0

Examining Ecology–Agriculture–Economy Nexus Shifts to Propose Win–Win–Win Pathways for Sustainable Development in Mountainous Areas: Insights From the Greenest City in China DOI Open Access
Ran Wang, Chong Jiang, Yixin Wang

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 22, 2025

ABSTRACT Ecosystem restoration projects (ERPs) are effective methods for reversing land degradation. However, the dynamic responses of ecology–agriculture–economy nexus to ERPs and socioeconomic development have yet be systematically analyzed. To address this issue, we adopted an ERP hotspot as a basis exploring evolution regimes sectoral variables their determinants. facilitated vegetation strengthened carbon sequestration soil retention, whereas grain productivity declined sharply since 2000 because industrial planting structure adjustments. Economic growth was accompanied by marked transformation; dominant role primary industry gradually replaced that other industries, with population employment structures changing accordingly. Rural loss weakened agricultural production capacity, promotion economic crops further degrading crops. Such shifts indicated positive progress in ecological sectors should optimized reserve sufficient space development, instead relying solely on expanding afforestation areas. Notably, temporary synergic co‐evolution from 2008 2022 is not stable low self‐sufficiency ratio, which might threaten sustainability social‐ecological systems. Therefore, efficiency must improved through large‐scale improvements conditions sustain supply. The perspective enriches our understanding interlinkages among different phases, facilitating formulation coordinated strategies regional sustainable development.

Language: Английский

Citations

0

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

Tian Chao,

Jie Zhong, Qinghui You

et al.

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

Published: March 1, 2025

Language: Английский

Citations

0

Spatiotemporal Dynamics of Vegetation Net Primary Productivity and Its Drivers in China's Three Eco‐Zones and Four Shelterbelts Region DOI

Yonghuan Ma,

Mengke Zhao, Linlin Lu

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: May 2, 2025

ABSTRACT Understanding the spatiotemporal dynamics of vegetation carbon stocks in ecologically functional areas and identifying their driving factors remain crucial for informing ecosystem protection restoration efforts. The three eco‐zones four shelterbelts (TEFS) region encompasses critical ecological barriers zones China. Utilizing MODIS NDVI data, alongside climatic topographic variables, we developed regionally optimized models to estimate net primary productivity (NPP) across TEFS from 2000 2023. Subsequently, variability NPP its associated drivers were explored using trend analysis, correlation, residual analysis. results revealed a significant increase approximately 90% between 2023, with an average annual rate 3.46 gC m −2 yr −1 . most rapid increases occurred along Yellow River basin. changes driven by combined effects climate change (CC) human activities (HA) over 24‐year period. While CC contributed positively 67.9% total area, HA had positive impact 75.4% region. Notably, dominated as driver western regions, whereas exerted stronger influence many eastern areas. Enhanced efforts desertification control coastal wetland ecosystems are recommended improve sequestration potential.

Language: Английский

Citations

0

Impact of Different Land Use Types on Bacterial and Fungal Communities in a Typical Karst Depression in Southwestern China DOI Open Access
Cong Hu, Zhonghua Zhang, Chaofang Zhong

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(8), P. 1299 - 1299

Published: July 25, 2024

Understanding the land use pattern relationships regarding composition, diversity, and abundance of soil microbial communities in a typical karst depression southwestern China is crucial for assessing stability local ecosystems. However, these aspects depressions within northern tropical seasonal rainforests remain limited. Therefore, we examined differences microorganism abundance, community co-occurrence networks under five types region China: sugarcane fields, orchards, grasslands, plantation forests, secondary forests. The samples from areas were analyzed using 16S rRNA gene amplification. abundances Acidobacteria Ascomycota lowest (20.66% 66.55%, respectively) forests highest (35.59% 89.35%, fields. Differences across related to pH total phosphorus. PCoA ANOSIM demonstrated significant bacterial fungal structures among types. Bacterial alpha-diversity showed no variation different uses, whereas exhibited differences. Observed Chao1, ACE, Shannon indices indicated that had alpha-diversity. Land changes also influenced networks, with orchards being more complex stable than those grasslands Key taxa such as Proteobacteria, Planctomycetes, Chloroflexi, Ascomycota, Basidiomycota predominantly connected highlighting their high functional potential. This study provides insights can inform effective planning management strategies depressions, thereby enhancing ecological sustainability balance.

Language: Английский

Citations

1