{"id":18533,"date":"2020-10-05T16:07:50","date_gmt":"2020-10-05T19:07:50","guid":{"rendered":"https:\/\/www.amazoniasocioambiental.org\/?p=18533"},"modified":"2020-10-06T16:21:25","modified_gmt":"2020-10-06T19:21:25","slug":"hysteresis-of-tropical-forests-in-the-21st-century","status":"publish","type":"post","link":"https:\/\/www.raisg.org\/en\/radar\/hysteresis-of-tropical-forests-in-the-21st-century\/","title":{"rendered":"Hysteresis of tropical forests in the 21st century"},"content":{"rendered":"

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Arie Staal, Ingo Fetzer, Lan Wang-Erlandsson, Joyce H. C. Bosmans, Stefan C. Dekker,<\/strong>
\nEgbert H. van Nes, Johan Rockstr\u00f6m & Obbe A. Tuinenburg<\/strong><\/p>\n

Nature Communications<\/i><\/a>\u00a0volume<\/span>\u00a011, Article\u00a0number:\u00a04978\u00a0(2020)<\/strong><\/p>\n

Published:\u00a0

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Abstract<\/strong><\/h2>\n
\n

Tropical forests modify the conditions they depend on through feedbacks at different spatial scales. These feedbacks shape the hysteresis (history-dependence) of tropical forests, thus controlling their resilience to deforestation and response to climate change. Here, we determine the emergent hysteresis from local-scale tipping points and regional-scale forest-rainfall feedbacks across the tropics under the recent climate and a severe climate-change scenario. By integrating remote sensing, a global hydrological model, and detailed atmospheric moisture tracking simulations, we find that forest-rainfall feedback expands the geographic range of possible forest distributions, especially in the Amazon. The Amazon forest could partially recover from complete deforestation, but may lose that resilience later this century. The Congo forest currently lacks resilience, but is predicted to gain it under climate change, whereas forests in Australasia are resilient under both current and future climates. Our results show how tropical forests shape their own distributions and create the climatic conditions that enable them.<\/p>\n<\/div>\n

 <\/p>\n

Staal, A., Fetzer, I., Wang-Erlandsson, L.\u00a0et al.<\/i>\u00a0Hysteresis of tropical forests in the 21st century.\u00a0Nat Commun<\/i>\u00a011,\u00a04978 (2020).\u00a0<\/strong><\/p>\n

https:\/\/www.nature.com\/articles\/s41467-020-18728-7<\/a><\/p>\n

DOI<\/abbr><\/p>\n

https:\/\/doi.org\/10.1038\/s41467-020-18728-7<\/a><\/span>[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_separator color=”mulled_wine” border_width=”3″][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Read the complete article here (PDF)<\/strong>: Hysteresis of tropical forests in the 21st century<\/em><\/a><\/strong><\/h3>\n

[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

Tropical forests modify the conditions they depend on through feedbacks at different spatial scales. These feedbacks shape the hysteresis (history-dependence) of tropical forests, thus controlling their resilience to deforestation and response to climate change. Here, we determine the emergent hysteresis from local-scale tipping points and regional-scale forest-rainfall feedbacks across the tropics under the recent climate and a severe climate-change scenario. By integrating remote sensing, a global hydrological model, and detailed atmospheric moisture tracking simulations, we find that forest-rainfall feedback expands the geographic range of possible forest distributions, especially in the Amazon. The Amazon forest could partially recover from complete deforestation, but may lose that resilience later this century. The Congo forest currently lacks resilience, but is predicted to gain it under climate change, whereas forests in Australasia are resilient under both current and future climates. Our results show how tropical forests shape their own distributions and create the climatic conditions that enable them.<\/p>\n","protected":false},"author":11,"featured_media":18534,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-18533","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-radar","category-3","description-off"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/posts\/18533","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/comments?post=18533"}],"version-history":[{"count":4,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/posts\/18533\/revisions"}],"predecessor-version":[{"id":18542,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/posts\/18533\/revisions\/18542"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/media\/18534"}],"wp:attachment":[{"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/media?parent=18533"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/categories?post=18533"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.raisg.org\/en\/wp-json\/wp\/v2\/tags?post=18533"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}