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Increasing severity of large-scale fires prolongs recovery time of forests globally since 2001.

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Title: Increasing severity of large-scale fires prolongs recovery time of forests globally since 2001.
Authors: Lv Q; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China., Chen Z; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China. zychen@bnu.edu.cn., Wu C; The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wucy@igsnrr.ac.cn., Peñuelas J; CSIC, Global Ecology Unit CREAF-CSIC-UAB, Barcelona, Spain., Fan L; School of Geographical Sciences, Southwest University, Chongqing, China., Su Y; State Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China., Yang Z; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China., Li M; School of Geography and Ocean Science, Nanjing University, Nanjing, China., Gao B; College of Land Science and Technology, China Agricultural University, Beijing, China., Hu J; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China., Zhang C; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China., Fu Y; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China., Wang Q; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
Source: Nature ecology & evolution [Nat Ecol Evol] 2025 Jun; Vol. 9 (6), pp. 980-992. Date of Electronic Publication: 2025 Apr 22.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101698577 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2397-334X (Electronic) Linking ISSN: 2397334X NLM ISO Abbreviation: Nat Ecol Evol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Increasing severity of large-scale fires prolongs recovery time of forests globally since 2001.
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  Data: <searchLink fieldCode="AU" term="%22Lv+Q%22">Lv Q</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Chen+Z%22">Chen Z</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China. zychen@bnu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wu+C%22">Wu C</searchLink>; The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wucy@igsnrr.ac.cn.<br /><searchLink fieldCode="AU" term="%22Peñuelas+J%22">Peñuelas J</searchLink>; CSIC, Global Ecology Unit CREAF-CSIC-UAB, Barcelona, Spain.<br /><searchLink fieldCode="AU" term="%22Fan+L%22">Fan L</searchLink>; School of Geographical Sciences, Southwest University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Su+Y%22">Su Y</searchLink>; State Key Laboratory for Ecological Security of Regions and Cities, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Yang+Z%22">Yang Z</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Li+M%22">Li M</searchLink>; School of Geography and Ocean Science, Nanjing University, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Gao+B%22">Gao B</searchLink>; College of Land Science and Technology, China Agricultural University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Hu+J%22">Hu J</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Fu+Y%22">Fu Y</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Wang+Q%22">Wang Q</searchLink>; State Key Laboratory of Remote Sensing and Digital Earth, Faculty of Geographical Science, Beijing Normal University, Beijing, China.
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  Data: <searchLink fieldCode="JN" term="%22101698577%22">Nature ecology & evolution</searchLink> [Nat Ecol Evol] 2025 Jun; Vol. 9 (6), pp. 980-992. <i>Date of Electronic Publication: </i>2025 Apr 22.
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