Article-Journal

Decline in Seasonal Predictability Potentially Destabilized Classic Maya Societies
Classic Maya populations living in peri-urban states were highly dependent on seasonally distributed rainfall for reliable surplus crop …
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Decoupling Physiological and Non-Physiological Responses of Sugar Beet to Water Stress from Sun-Induced Chlorophyll Fluorescence
Due to the physiological connection with photosynthesis, sun-induced chlorophyll fluorescence (SIF) provides a promising indicator of …
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Recurrence Flow Measure of Nonlinear Dependence
Couplings in complex real-world systems are often nonlinear and scale dependent. In many cases, it is crucial to consider a multitude …
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Integrative Toolbox to Assess the Quality of Freshwater Sediments Contaminated with Potentially Toxic Metals
The Guadiana Basin is a transnational basin, presenting historical contamination with potentially toxic metals (PTM), which origin can …
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Prediction of Plant Diversity Using Multi-Seasonal Remotely Sensed and Geodiversity Data in a Mountainous Area
Plant diversity measurement and monitoring are required for reversing biodiversity loss and ensuring sustainable management. …
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Biodiversity Loss and Climate Extremes — Study the Feedbacks
Enough of silos: develop a joint scientific agenda to understand the intertwined global crises of the Earth system.
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Evaluation of Satellite and Reanalysis Estimates of Surface and Root-Zone Soil Moisture in Croplands of Jiangsu Province, China
High-quality and long-term surface soil moisture (SSM) and root-zone soil moisture (RZSM) data are critical for agricultural water …
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Global Apparent Temperature Sensitivity of Terrestrial Carbon Turnover Modulated by Hydrometeorological Factors
Abstract The ecosystem carbon turnover time—an emergent ecosystem property that partly determines the feedback between the terrestrial …
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Near-Surface Soil Thermal Regime and Land--Air Temperature Coupling: A Case Study over Spain
Abstract Understanding the near-surface soil thermal regime and its connection to the atmospheric state is important for the assessment …
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Prediction of Wild Pistachio Ecological Niche Using Machine Learning Models
Observing vegetation dynamics and determining optimum conditions for tree species are important for the long-term habitat conservation. …
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