| Self-organization as a mechanism of resilience in dryland ecosystems |
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| Relation between beluga whale aggregations and sea temperature on climate change forecasts |
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| Uberizing Agriculture in Drylands: A Few Enriched, Everyone Endangered |
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| The soil microbiome governs the response of microbial respiration to warming across the globe |
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| The global biogeography and environmental drivers of fairy circles |
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| Life adapted to precariousness: The ecology of drylands |
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| Complex Policy Mixes are Needed to Cope with Agricultural Water Demands Under Climate Change |
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| Climate change impacts on plant pathogens, food security and paths forward |
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| The global contribution of soil mosses to ecosystem services |
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| TimeSpec4LULC: a global multispectral time series database for training LULC mapping models with machine learning |
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| Remote Sensing-Based Monitoring of Postfire Recovery of Persistent Shrubs: The Case of Juniperus communis in Sierra Nevada (Spain) |
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| UV index and climate seasonality explain fungal community turnover in global drylands |
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| Grazing and ecosystem service delivery in global drylands |
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| Sentinel2GlobalLULC: A Sentinel-2 RGB image tile dataset for global land use/cover mapping with deep learning |
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| Soils in warmer and less developed countries have less micronutrients globally |
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| Climate legacies drive the distribution and future restoration potential of dryland forests |
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| Phylotype diversity within soil fungal functional groups drives ecosystem stability |
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| The potential of groundwater-dependent ecosystems to enhance soil biological activity and soil fertility in drylands |
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| Humidity and low pH boost occurrence of Onygenales fungi in soil at global scale |
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| Desertification in Spain: A Sound Diagnosis without Solutions and New Scenarios |
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| Temperature thresholds drive the global distribution of soil fungal decomposers |
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| Effects of climate change and land use intensification on regional biological soil crust cover and composition in southern Africa |
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| Sentinel2GlobalLULC: A deep-learning-ready Sentinel-2 RGB image dataset for global land use/cover mapping |
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| Aridity Thresholds Determine the Relationships Between Ecosystem Functioning and Remotely Sensed Indicators Across Patagonia |
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| Desertification: New approaches to an old problem,Desertificación: nuevos enfoques para un viejo problema |
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| Temporal variations on NDVI predict temporal changes in vegetation cover across Patagonian drylands (Argentina),La variación temporal del índice NDVI predice los cambios temporales de la cobertura vegetal en las tierras secas de la Patagonia argentina |
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| Can desertification be mapped? Lights and shadows of a challenging task,¿Se puede cartografiar la desertificación? Luces y sombras de una tarea desafiante |
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| Potential of artificial intelligence to advance the study of desertification |
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| Biogeography of global drylands. |
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| Mediterranean landscape re-greening at the expense of south american agricultural expansion |
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| Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN |
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| Mask R-CNN and OBIA Fusion Improves the Segmentation of Scattered Vegetation in Very High-Resolution Optical Sensors |
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| Tree cover estimation in global drylands from space using deep learning |
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| COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images |
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| Discarded food and resource depletion |
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| Unraveling misunderstandings about desertification: The paradoxical case of the Tabernas-Sorbas basin in Southeast Spain |
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| Launching collective science-policy-society strategies to conserve the Ziziphus lotus habitat (Priority Habitat 5220) |
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| Tree Cover Estimation in Global Drylands from Space Using Deep Learning |
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| Whale counting in satellite and aerial images with deep learning |
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| A Multi-Temporal Object-Based Image Analysis to Detect Long-Lived Shrub Cover Changes in Drylands |
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| A multi-temporal object-based image analysis to detect long-lived shrub cover changes in drylands |
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| Modeling carbon dioxide for show cave conservation |
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| Remote‐sensing‐derived fractures and shrub patterns to identify groundwater dependence |
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| Deep-learning Versus OBIA for scattered shrub detection with Google Earth Imagery: Ziziphus lotus as case study |
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| Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study |
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| Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery |
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| Detecting gypsum caves with microgravity and ERT under soil water content variations (Sorbas, SE Spain) |
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