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search.filters.applied.f.access: openAccess × End date: 2024 × Start date: 2020 × Publisher: London : Nature Publishing Group × Subject: Climate-change ecology ×

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    Potential impacts of climate change on agriculture and fisheries production in 72 tropical coastal communities
    (London : Nature Publishing Group, 2022) Cinner, Joshua E; Caldwell, Iain R; Thiault, Lauric; Ben, John; Blanchard, Julia L; Coll, Marta; Diedrich, Amy; Eddy, Tyler D; Everett, Jason D; Folberth, Christian; Gascuel, Didier; Guiet, Jerome; Gurney, Georgina G; Heneghan, Ryan F; Jägermeyr, Jonas; Jiddawi, Narriman; Lahari, Rachael; Kuange, John; Liu, Wenfeng; Maury, Olivier; Müller, Christoph; Novaglio, Camilla; Palacios-Abrantes, Juliano; Petrik, Colleen M; Rabearisoa, Ando; Tittensor, Derek P; Wamukota, Andrew; Pollnac, Richard
    Climate change is expected to profoundly affect key food production sectors, including fisheries and agriculture. However, the potential impacts of climate change on these sectors are rarely considered jointly, especially below national scales, which can mask substantial variability in how communities will be affected. Here, we combine socioeconomic surveys of 3,008 households and intersectoral multi-model simulation outputs to conduct a sub-national analysis of the potential impacts of climate change on fisheries and agriculture in 72 coastal communities across five Indo-Pacific countries (Indonesia, Madagascar, Papua New Guinea, Philippines, and Tanzania). Our study reveals three key findings: First, overall potential losses to fisheries are higher than potential losses to agriculture. Second, while most locations (> 2/3) will experience potential losses to both fisheries and agriculture simultaneously, climate change mitigation could reduce the proportion of places facing that double burden. Third, potential impacts are more likely in communities with lower socioeconomic status.
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    Future tree survival in European forests depends on understorey tree diversity
    (London : Nature Publishing Group, 2022) Billing, Maik; Thonicke, Kirsten; Sakschewski, Boris; Bloh, Werner von; Walz, Ariane
    Climate change heavily threatens forest ecosystems worldwide and there is urgent need to understand what controls tree survival and forests stability. There is evidence that biodiversity can enhance ecosystem stability (Loreau and de Mazancourt in Ecol Lett 16:106–115, 2013; McCann in Nature 405:228–233, 2000), however it remains largely unclear whether this also holds for climate change and what aspects of biodiversity might be most important. Here we apply machine learning to outputs of a flexible-trait Dynamic Global Vegetation Model to unravel the effects of enhanced functional tree trait diversity and its sub-components on climate-change resistance of temperate forests (http://www.pik-potsdam.de/~billing/video/Forest_Resistance_LPJmLFIT.mp4). We find that functional tree trait diversity enhances forest resistance. We explain this with 1. stronger complementarity effects (~ 25% importance) especially improving the survival of trees in the understorey of up to + 16.8% (± 1.6%) and 2. environmental and competitive filtering of trees better adapted to future climate (40–87% importance). We conclude that forests containing functionally diverse trees better resist and adapt to future conditions. In this context, we especially highlight the role of functionally diverse understorey trees as they provide the fundament for better survival of young trees and filtering of resistant tree individuals in the future.