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Towards a global understanding of tree mortality

Authors: Cornelius, Senf; Esquivel-Muelbert, Adriane; Pugh, Thomas; Anderegg, William; Anderson-Teixeira, Kristina; Arellano, Gabriel; Mirela Beloiu, Schwenke; +107 Authors

Towards a global understanding of tree mortality

Abstract

SummaryRates of tree mortality are increasing globally, with implications for forests and climate. Yet, how and why these trends vary globally remain unknown. Developing a comprehensive assessment of global tree mortality will require systematically integrating data from ground‐based long‐term forest monitoring with large‐scale remote sensing. We surveyed the metadata from 466 865 forest monitoring plots across 89 countries and five continents using questionnaires and discuss the potential to use these to estimate tree mortality trends globally. Our survey shows that the area monitored has increased steadily since 1960, but we also identify many regions with limited ground‐based information on tree mortality. The integration of existing ground‐based forest inventories with remote sensing and modelling can potentially fill those gaps, but this requires development of technical solutions and agreements that enable seamless flows of information from the field to global assessments of tree mortality. A truly global monitoring effort should promote fair and equitable collaborations, transferring funding to and empowering scientists from less wealthy regions. Increasing interest in forests as a natural climate solution, the advancement of new technologies and world‐wide connectivity means that now a global monitoring system of tree mortality is not just urgently needed but also possible.

Countries
United States, France, Spain, France, Sweden, France, France, Germany, France, Italy, Italy, France, France, France, Netherlands, Italy, France, Germany, Italy, Finland
Keywords

arbre forestier, Settore AGR/05 - ASSESTAMENTO FORESTALE E SELVICOLTURA, Skogsvetenskap, télédétection, Settore AGRI-03/B - Selvicoltura, forêt tropicale, tree mortality, global change, natural disturbances, monitoring, climate change, forest dynamics, Forest monitoring, tree dieback, global monitoring, remote sensing, http://aims.fao.org/aos/agrovoc/c_3062, forêt, Silvicultura, forest inventory, http://aims.fao.org/aos/agrovoc/c_6498, disturbance, changement climatique, pianificazione ed ecologia forestale, Geography, http://aims.fao.org/aos/agrovoc/c_4945, Forestry, Remote sensing, Miljövetenskap, [SDV.EE] Life Sciences [q-bio]/Ecology, environment, santé des forêts, http://aims.fao.org/aos/agrovoc/c_3052, Trees -- Mortality, F40 - Écologie végétale, http://aims.fao.org/aos/agrovoc/c_1374571087594, aménagement forestier, 577, http://aims.fao.org/aos/agrovoc/c_24904, http://aims.fao.org/aos/agrovoc/c_1666, K70 - Dégâts causés aux forêts et leur protection, inventaire forestier, atténuation des effets du changement climatique, écosystème forestier, 580, Tree dieback, Forum, Forest Science, http://aims.fao.org/aos/agrovoc/c_24174, forest monitoring, Disturbance, Climatic changes, forest inventories, Climate Science, http://aims.fao.org/aos/agrovoc/c_1374842133961, tree mortality, http://aims.fao.org/aos/agrovoc/c_36676, disturbance; forest inventory; forest monitoring; remote sensing; tree dieback, mortalité, Environmental Sciences, http://aims.fao.org/aos/agrovoc/c_16129, Klimatvetenskap, Forest inventory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Top 10%
Top 10%
Top 1%
Green
hybrid