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Impacts of Weather Anomalies and Climate on Plant Disease.
Ecol Lett
January 2025
Department of Biology, Stanford University, Stanford, California, USA.
Predicting the effects of climate change on plant disease is critical for protecting ecosystems and food production. Here, we show how disease pressure responds to short-term weather, historical climate and weather anomalies by compiling a global database (4339 plant-disease populations) of disease prevalence in both agricultural and wild plant systems. We hypothesised that weather and climate would play a larger role in disease in wild versus agricultural plant populations, which the results supported.
View Article and Find Full Text PDFWater is the basic molecule in living beings, and it has a major impact on vital processes. Plants are sessile organisms with a sophisticated regulatory network that regulates how resources are distributed between developmental and adaptation processes. Drought-stressed plants can change their survival strategies to adapt to this unfavorable situation.
View Article and Find Full Text PDFA transdisciplinary, comparative analysis reveals key risks from Arctic permafrost thaw.
Commun Earth Environ
January 2025
Department of Environmental & Resource Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.
Permafrost thaw poses diverse risks to Arctic environments and livelihoods. Understanding the effects of permafrost thaw is vital for informed policymaking and adaptation efforts. Here, we present the consolidated findings of a risk analysis spanning four study regions: Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada) and the Bulunskiy District of the Sakha Republic (Russia).
View Article and Find Full Text PDFUnder an adaptive hypothesis, the reciprocal influence between mutualistic plants and frugivores is expected to result in suites of matching frugivore and plant traits that structure fruit consumption. Recent work has suggested fruit traits can represent adaptations to broad groups of functionally similar frugivores, but the role of frugivore traits and within-species variation in structuring fruit consumption is less understood. To address these knowledge gaps, we assess the presence of reciprocal trait matching for the mutualistic ecological network comprising of bats that feed on and disperse seeds.
View Article and Find Full Text PDFA deep-learning-based consistency test approach for Earth system models on HPC systems.
iScience
January 2025
National Supercomputing Center in Wuxi, Wuxi 214072, China.
Evaluating climate consistency is a critically important step in the development and optimization of Earth system models (ESMs) on the high-performance computing (HPC) systems. We have developed an Earth system model deep-learning consistency test, referred to as ESM-DCT. The ESM-DCT is based on the unsupervised bidirectional gate recurrent unit-autoencoder (BGRU-AE) model to study the features from the ESM simulation ensembles and adopts the reconstruction errors to evaluate the consistency.
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