Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective DOI Creative Commons
Yachao Zhao, Xin Du, Qiangzi Li

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1409 - 1409

Published: April 16, 2025

Accurate diagnostics of crop yields are essential for climate-resilient agricultural planning; however, conventional datasets often conflate environmental covariates during model training. Here, we present HHHWheatYield1km, a 1 km resolution winter wheat yield dataset China’s Huang-Huai-Hai Plain spanning 2000–2019. By integrating climate-independent multi-source remote sensing metrics with Random Forest model, calibrated against municipal statistical yearbooks, the exhibits strong agreement county-level records (R = 0.90, RMSE 542.47 kg/ha, MRE 9.09%), ensuring independence from climatic influences robust driver analysis. Using Geodetector, reveal pronounced spatial heterogeneity in climate–yield interactions, highlighting distinct regional disparities: precipitation variability exerts strongest constraints on Henan and Anhui, whereas Shandong Jiangsu exhibit weaker dependencies. In Beijing–Tianjin–Hebei, March temperature emerges as critical determinant variability. These findings underscore need tailored adaptation strategies, such enhancing water-use efficiency inland provinces optimizing agronomic practices coastal regions. With its dual ability to resolve pixel-scale dynamics disentangle drivers, HHHWheatYield1km represents resource precision agriculture evidence-based policymaking face changing climate.

Language: Английский

A review of soil waterlogging impacts, mechanisms, and adaptive strategies DOI Creative Commons
Yusen Zhang, Xiaojuan Chen,

Shiying Geng

et al.

Frontiers in Plant Science, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 13, 2025

Waterlogging is a major abiotic stress affecting plant growth and productivity. Regardless of rainfall or irrigated environments, plants frequently face waterlogging, which may range from short-term to prolonged durations. Excessive precipitation soil moisture disrupt crop growth, not because the water itself but due oxygen deficiency caused by saturation. This lack triggers cascade detrimental effects. Once becomes saturated, depletion leads anaerobic respiration in roots, weakening their respiratory processes. impacts morphology, metabolism, often increasing ethylene production impairing vital physiological functions. Plants respond waterlogging altering morphological structures, energy hormone synthesis, signal transduction pathways. paper synthesizes findings previous studies systematically analyze effects on yield, regulation, transduction, adaptive responses while exploring mechanisms underlying tolerance waterlogging. For instance, reduces yield disrupts key biochemical processes, such as synthesis nutrient absorption, leading deficiencies essential nutrients like potassium calcium. Under waterlogged conditions, exhibit changes, including formation adventitious roots development aeration tissues enhance transport. review also highlighted effective strategies improve Examples include strengthening field management practices, applying exogenous hormones 6-benzylaminopurine (6-BA) γ-aminobutyric acid (GABA), overexpressing specific genes (e.g., ZmEREB180 , HvERF2.11 RAP2.6L ), modifying root architecture. Lastly, we discuss future challenges propose directions for advancing research this field.

Language: Английский

Citations

0
Graph-based machine learning for high-resolution assessment of pedestrian- weighted exposure to air pollution DOI Creative Commons
Feifeng Jiang, Jun Ma

Resources Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 100219 - 100219

Published: April 1, 2025

Language: Английский

Citations

0
Dire need for quantification of environmental impacts associated with breeding climate-resilient crops DOI Creative Commons

Chunhu Wang,

Matthew Tom Harrison,

De Li Liu

et al.

Agricultural Systems, Journal Year: 2025, Volume and Issue: 227, P. 104352 - 104352

Published: April 16, 2025

Language: Английский

Citations

0
Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective DOI Creative Commons
Yachao Zhao, Xin Du, Qiangzi Li

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(8), P. 1409 - 1409

Published: April 16, 2025

Accurate diagnostics of crop yields are essential for climate-resilient agricultural planning; however, conventional datasets often conflate environmental covariates during model training. Here, we present HHHWheatYield1km, a 1 km resolution winter wheat yield dataset China’s Huang-Huai-Hai Plain spanning 2000–2019. By integrating climate-independent multi-source remote sensing metrics with Random Forest model, calibrated against municipal statistical yearbooks, the exhibits strong agreement county-level records (R = 0.90, RMSE 542.47 kg/ha, MRE 9.09%), ensuring independence from climatic influences robust driver analysis. Using Geodetector, reveal pronounced spatial heterogeneity in climate–yield interactions, highlighting distinct regional disparities: precipitation variability exerts strongest constraints on Henan and Anhui, whereas Shandong Jiangsu exhibit weaker dependencies. In Beijing–Tianjin–Hebei, March temperature emerges as critical determinant variability. These findings underscore need tailored adaptation strategies, such enhancing water-use efficiency inland provinces optimizing agronomic practices coastal regions. With its dual ability to resolve pixel-scale dynamics disentangle drivers, HHHWheatYield1km represents resource precision agriculture evidence-based policymaking face changing climate.

Language: Английский

Citations

0