Results 101 to 110 of about 2,660,815 (249)

Trade‐Offs and Synergies in Cultivated Land Multifunctionality and Zoning Management in the Dongting Lake Region: A Multiscale Analysis

Land Degradation &Development, EarlyView.
ABSTRACT Understanding the multiscale patterns and interactions of cultivated land multifunctionality is important for conservation, governance, and agricultural spatial optimization in the Dongting Lake region. Using 2020 data, we evaluated economic production (EPF), social security (SSF), landscape‐based recreation (LRF), and ecological maintenance ...
Chaomin Li, Tingting Ma, Zixiang Sun, Bingeng Xie, Kaichun Zhou   +4 more
wiley   +1 more source

Statistical downscaling with spatial misalignment: Application to wildland fire PM_2.5 concentration forecasting. [PDF]

J Agric Biol Environ Stat, 2021
Majumder S, Guan Y, Reich BJ, O'Neill S, Rappold AG.   +4 more
europepmc   +1 more source

Optimizing Soil Organic Matter Estimation Through Multi‐Factor Zoning and Tree‐Based Automated Learning

Land Degradation &Development, EarlyView.
ABSTRACT Soil organic matter (SOM) is a key indicator of land degradation and soil functioning. It plays an essential role in nutrient cycling, soil structure, and long‐term agroecosystem resilience. The variations of surface cover, soil moisture and soil texture heterogeneity will affect the accuracy of SOM remote sensing mapping. This study developed
Xuzhou Qu, Meiyan Shu, Huiming Song, Xiaohe Gu, Jingping Zhou, Qian Sun, Baoyuan Zhang, Menglei Dai, Chunjiang Zhao   +8 more
wiley   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

Land Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

(Partial Least Square Regression for Statistical Downscaling)

, 2011
Dalam klimatologi statistical downscaling digunakan untuk memprediksi curah hujan lokal berdasarkan output dari model sirkulasi global (GCM). Regresi kuadrat terkecil parsial (PLSR) dapat digunakan sebagai alternatif teknik statistical downscaling. PLSR,
Hamim Wigena, Aji
core   +1 more source

Future Changes in Regional Tropical Cyclone Wind, Precipitation, and Flooding Using Event‐Based Downscaling

Earth's Future
Understanding changes in the hazard component of climate risk is important to inform societal resilience planning in a changing climate. Here, we examine local changes in wind speed, rainfall, and flooding related to tropical cyclones (TCs) and compare ...
Alexander Michalek, James M. Done, Gabriele Villarini   +2 more
doaj   +1 more source

Towards more reliable interdisciplinary modelling of global human–environment dynamics driving biodiversity change

People and Nature, EarlyView.
Abstract Environmental problems are typically vast, urgent and complex. Confronted with such problems, we are often tempted to act fast by pulling together little bits and pieces from different fields and simply adding these to pre‐existing models and frameworks.
Carsten Meyer
wiley   +1 more source

DUCK‐Net: automated deep learning segmentation of ductular reactions in murine liver injury captures multicellular niche dynamics from H&E morphology

The Journal of Pathology, EarlyView.
Abstract Ductular reactions (DRs) are dynamic and complex multicellular responses that occur as a result of various hepatic injuries. Precise identification and quantification of the extent of DRs is a cornerstone of pre‐clinical modelling of liver disease, with links to inflammation, fibrosis, regeneration, and disease severity.
Nathalie Feeley, Kai Williams, Caitlin McCaffrey, Daniel Field, Kyle Davies, Hugh Warden, Luke Boulter, Steve Thorn, Tak Yung Man, Wei‐Yu Lu, Stephen J Wigmore, Ewen M Harrison, Stuart J Forbes, Ian P Tomlinson, Timothy J Kendall, Rachel V Guest   +15 more
wiley   +1 more source

Statistical downscaling and bias correction for climate research

, 2017
Statistical downscaling and bias correction are becoming standard tools in climate impact studies. This book provides a comprehensive reference to widely-used approaches, and additionally covers the relevant user context and technical background, as well
Maraun, Douglas, Martin Widmann, Douglas Maraun, Widmann, Martin; id_orcid   +3 more
core   +1 more source

Disposition Model for Permafrost Degradation in Mountainous Regions

Permafrost and Periglacial Processes, EarlyView.
ABSTRACT Permafrost is a widespread thermal phenomenon in Arctic and high mountain regions that, in combination with steep terrain, exerts a key control on slope stability. Its degradation in response to climatic warming can modify the likelihood and timing of rockfall, debris flow and related mass movements. Robust information on the current state and
Peter Mani, Simon Allen, Mathias Bavay, Nils Hählen, Markus Stoffel   +4 more
wiley   +1 more source