Comparison of Landsat-8 and Sentinel-2 Imagery for Modeling Gross Primary Productivity of Tea Ecosystem DOI
Ali Raza, Yongguang Hu, Yongzong Lu

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 76(6), P. 1585 - 1605

Published: Oct. 21, 2024

Accurately estimating gross primary productivity (GPP) is essential for understanding and managing carbon dynamics within an ecosystem. This study investigates the potential of imagery approaches, specifically utilizing Landsat‑8 Sentinel‑2 data, to model GPP in tea ecosystem subtropical region China. While extensive research has focused on cereal crop ecosystems, plantations, despite their global significance as a cash crop, have received limited attention regarding modeling. To address this gap, field campaign was carried out using eddy covariance (EC) system monitor net exchange (NEE) plantations at scale. Pruning recognized crucial management practice growth plants, leading significant variations NEE its components (ecosystem respiration (RES)). Consequently, we selected pruning period, from February June modeling GPP. Traditionally, vegetation photosynthesis models (VPMs) based data required parameterization, posing challenges data-limited scenarios. In study, developed parametric indices such normalized difference index (NDVI) scaled photochemical reflectance (sPRI), which describe both plant structure physiology EC Landsat-8/Sentinel‑2 data. Results indicate that while NDVI partially captures variation (R2 = 0.60) 0.71) imagery, incorporating sPRI significantly enhances agreement between modeled observed (Landsat-8 : R2 0.77, Sentinel-2 0.80). Furthermore, comparing estimates derived (GPPEC) with those Sentinel (GPPSentinel) Landsat (GPPLandsat) reveals GPPSentinel closely aligns GPPEC 0.80), outperforming GPPLandsat various evaluation (index Agreement, Kling-Gupta efficiency, mean bias error, relative percent).

Language: Английский

The neglected cost: Ecosystem services loss due to urban expansion in China from a triple-coupling perspective DOI
Weilong Kong,

Wencang Shen,

Chaoyue Yu

et al.

Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107827 - 107827

Published: Jan. 20, 2025

Language: Английский

Citations

3
Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland DOI Creative Commons
Yongheng Shen,

Qingxia Guo,

Zhenghao Liu

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 309, P. 109349 - 109349

Published: Feb. 5, 2025

Language: Английский

Citations

1
Spatial zoning and effect evaluation of county high-standard farmland siting delineation for sustainable cultivated land use in China: A case study in Dali, Shaanxi DOI Creative Commons

Lisi Ling,

Huajun Tang, Xueyuan Chen

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112647 - 112647

Published: Sept. 25, 2024

Language: Английский

Citations

6
Quantifying and Mapping the Impact of Construction Land Expansion on Cultivated Land Fragmentation—A Case Study of Fuqing City, China DOI Creative Commons
Xiaoran Yang,

Xiping Zheng,

Xinyang Yu

et al.

Agriculture, Journal Year: 2025, Volume and Issue: 15(2), P. 184 - 184

Published: Jan. 15, 2025

To ensure the sustainable utilization of cultivated land resources, it is essential to quantify and map characteristics construction analyze mechanisms by which expansion affects land. However, few studies have been conducted focusing on this issue. This study integrated morphological spatial pattern analysis, spillover effect landscape a use transition monitoring method investigate fragmentation. Fuqing City China was selected as case area for demonstration. The results demonstrated that resulted in fragmented patterns within landscape: (1) large core subdivided into smaller areas during 2000–2020, while exhibited tendency towards aggregation effect; (2) rate accelerated, extent decreased; (3) Cultivated fragmentation intensified weakened, leading an agglomeration highlights are: examining from geospatial perspectives; categorizing based their size facilitate analysis factors contributing findings can be used develop models predict future provide suggestions planning.

Language: Английский

Citations

0
Cropland Loss Under Different Urban Expansion Patterns in China (1990–2020): Spatiotemporal Characteristics, Driving Factors, and Policy Implications DOI Creative Commons

C. Feng D.H. Mao,

Shanshan Feng,

Chuanqing Zhou

et al.

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 343 - 343

Published: Feb. 8, 2025

It is well established that China’s rapid urban expansion has led to a substantial loss of cropland. However, few studies have examined how different patterns contribute cropland consumption, which hindered the formulation sustainable development and protection policies. To fill this gap, we analyzed occupation under three (leap-frogging, edge-spreading, interior filling) in China from 1990 2020, using long-term land use data. The dominant driving forces were then explored XGBoost model SHAP values. Our findings indicate 2020 resulted 6.3% reduction cropland, with edge-spreading (4.0%) contributing most, followed by leap-frogging (2.1%) filling (0.2%). Change intensity (CUI) proved be most critical driver loss, values 0.38, 0.28, 0.37 for leap-frogging, filling, respectively. Over time, evolved single demographic-economic dominance more diversified integrated set drivers. Based on these findings, propose tailored planning policies patterns; regions dominated stricter controls boundaries stronger constraints are required. For prominent expansion, efforts should made improve internal efficiency while preserving existing spaces. In characterized further optimization construction allocation needed reduce productive suburban These not only offer new empirical evidence understanding interplay between conservation but also provide transferable insights can inform land-use strategies other rapidly urbanizing facing similar challenges.

Language: Английский

Citations

0
From Conservation to Development: A Study of Land Use and Ecological Changes to Vegetation Around the Hainan Tropical Rainforest National Park DOI Open Access

Huimei Xia,

Wei Wang, Zijian Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2403 - 2403

Published: March 10, 2025

Global ecosystems, particularly in biodiversity-rich tropical rainforests, are increasingly under pressure from human activities. As socio-economic development continues and populations steadily grow, the effective planning of areas surrounding national parks has become a global challenge. This study, based on remote sensing data utilizing landscape ecology tools, such as ArcGIS 10.8, GeoDa 1.20, Fragstats 4.2, combines spatial statistical methods, trend analysis, Hurst index to conduct long-term analysis forecast future trends vegetation ecological quality indicators (VEQI) pattern changes within around Hainan Tropical Rainforest National Park. VEQI across various buffer zones were also assessed. Our results show that both arable built-up land increased, especially 2002 2022. Arable decreased 5566.8 km2 4796.8 km2, then increased 5904.6 km2; expanded 163.97 314.59 reflecting urbanization. Spatiotemporal revealed 42.54% study area experienced significant changes, with 24.05% increase (mainly northwest) an 18.49% decrease southeast). The improvements consistent all zones, most growth 7.5 km zone. Landscape indices indicated high fragmentation coastal areas, while inland remained stable, tension between conservation These findings provide theoretical basis for zone policies park.

Language: Английский

Citations

0
Bundling regions to explore synergies and trade-offs among water-wetland-food nexus in Black Soil Granary, China DOI Creative Commons
Xiaolu Chen, Ying Guo, Qingtao Ma

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109426 - 109426

Published: March 12, 2025

Language: Английский

Citations

0
The impact of urban expansion on food production: a bibliometric study of development, hotspots, and future prospects DOI Creative Commons

Congjie Cao,

Ling Wang

Frontiers in Sustainable Food Systems, Journal Year: 2025, Volume and Issue: 9

Published: April 10, 2025

The acceleration of urban expansion and rapid economic growth have significantly intensified agricultural land scarcity, jeopardizing global food security. Although this issue has become a key topic in security, comprehensive systematic literature review is still lacking. To systematically analyze the evolutionary patterns, research frontiers, knowledge structure field, study employs an integrated bibliometric approach using CiteSpace, VOSviewer, Bibliometrix R-tool for mapping. results indicate that on impact production can be divided into initial period (1983–1999), development (2000–2014), high (2015–present). One hundred thirty-nine countries conducted area. Research greenhouse gases, simulation forecasting, carbon footprints, smart agriculture emerged as hotspots field recent years. Crop yield, use change, security consistently been central themes. This also highlights future directions, emphasizing importance interdisciplinary collaboration, scenario-based analysis, methodological advancements studies. Balancing with amid urbanization remains critical challenge warrants further exploration. Additionally, limitations, such database constraints potential analytical biases, are discussed. These findings may serve valuable reference domain.

Language: Английский

Citations

0
Spatial patterns of urban expansion and cropland loss during 2017–2022 in Guangdong, China DOI Creative Commons

Xinjian Wen,

Fuying Yang,

Jiangping Chen

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e30548 - e30548

Published: April 30, 2024

Urban expansion often occurs at the expense of cropland loss, posing challenges to sustainable urban growth and food security. However, detailed investigations into loss remain limited, particularly in regions with varying levels urbanization. Here, we take Guangdong Province, China, as a case study exemplify how affects using remotely sensed land use products. We adopted geospatial analysis, correlation indicators, landscape metrics uncover their spatial relationships 10-m resolutions. Results showed that areas increased by 6335 km

Language: Английский

Citations

2
Comparison of Landsat-8 and Sentinel-2 Imagery for Modeling Gross Primary Productivity of Tea Ecosystem DOI
Ali Raza, Yongguang Hu, Yongzong Lu

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 76(6), P. 1585 - 1605

Published: Oct. 21, 2024

Accurately estimating gross primary productivity (GPP) is essential for understanding and managing carbon dynamics within an ecosystem. This study investigates the potential of imagery approaches, specifically utilizing Landsat‑8 Sentinel‑2 data, to model GPP in tea ecosystem subtropical region China. While extensive research has focused on cereal crop ecosystems, plantations, despite their global significance as a cash crop, have received limited attention regarding modeling. To address this gap, field campaign was carried out using eddy covariance (EC) system monitor net exchange (NEE) plantations at scale. Pruning recognized crucial management practice growth plants, leading significant variations NEE its components (ecosystem respiration (RES)). Consequently, we selected pruning period, from February June modeling GPP. Traditionally, vegetation photosynthesis models (VPMs) based data required parameterization, posing challenges data-limited scenarios. In study, developed parametric indices such normalized difference index (NDVI) scaled photochemical reflectance (sPRI), which describe both plant structure physiology EC Landsat-8/Sentinel‑2 data. Results indicate that while NDVI partially captures variation (R2 = 0.60) 0.71) imagery, incorporating sPRI significantly enhances agreement between modeled observed (Landsat-8 : R2 0.77, Sentinel-2 0.80). Furthermore, comparing estimates derived (GPPEC) with those Sentinel (GPPSentinel) Landsat (GPPLandsat) reveals GPPSentinel closely aligns GPPEC 0.80), outperforming GPPLandsat various evaluation (index Agreement, Kling-Gupta efficiency, mean bias error, relative percent).

Language: Английский

Citations

0