The forest recovery path after drought dependence on forest type and stock volume
Drought legacy effects of forest ecosystems have been widely observed. However, the influence of forest type and stock volume on its recovery path is poorly understood. In this research, we first used the Standardized Precipitation Evapotranspiration Index to identify a drought event. Then, we appli...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2022-01-01
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| Series: | Environmental Research Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1748-9326/ac57e5 |
| _version_ | 1797747016119353344 |
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| author | Hui Luo Tao Zhou Peixin Yu Chuixiang Yi Xia Liu Yajie Zhang Peifang Zhou Jingzhou Zhang Yixin Xu |
| author_facet | Hui Luo Tao Zhou Peixin Yu Chuixiang Yi Xia Liu Yajie Zhang Peifang Zhou Jingzhou Zhang Yixin Xu |
| author_sort | Hui Luo |
| collection | DOAJ |
| description | Drought legacy effects of forest ecosystems have been widely observed. However, the influence of forest type and stock volume on its recovery path is poorly understood. In this research, we first used the Standardized Precipitation Evapotranspiration Index to identify a drought event. Then, we applied the normalized difference vegetation index deficit and forest property maps derived from forest inventories to investigate the potential impacts of forest properties on forest recovery paths. The results showed that the legacy effects 1–3 years after a drought event were pervasive, but the forest recovery path was highly dependent on the forest type and forest stock volume. The recovery of forests with low stock volume densities (<60 m ^3 ha ^−1 ) was mostly stronger than that of forests with high stock volume densities (≥60 m ^3 ha ^−1 ) by the second year. Although all forests with different stock volume densities approximately returned to a normal status by the third year, they followed various paths to recovery. Natural coniferous forests in China that have a similar stock volume density (<60 m ^3 ha ^−1 ) took longer to recover than planted coniferous forests and exhibited a lower magnitude of recovery. These findings highlight that drought legacy effects are greater for natural coniferous forests with high stock volume densities, which provides insightful forest management information on how to speed up forest recovery with forest density control and type control. |
| first_indexed | 2024-03-12T15:45:05Z |
| format | Article |
| id | doaj.art-6e2472c1206b4ee2af9005eeb45409fc |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:45:05Z |
| publishDate | 2022-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-6e2472c1206b4ee2af9005eeb45409fc2023-08-09T15:28:03ZengIOP PublishingEnvironmental Research Letters1748-93262022-01-0117505500610.1088/1748-9326/ac57e5The forest recovery path after drought dependence on forest type and stock volumeHui Luo0https://orcid.org/0000-0001-6880-0731Tao Zhou1Peixin Yu2Chuixiang Yi3https://orcid.org/0000-0001-8546-6157Xia Liu4Yajie Zhang5Peifang Zhou6Jingzhou Zhang7Yixin Xu8https://orcid.org/0000-0002-9439-7306State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaSchool of Earth and Environmental Sciences, Queens College, City University of New York , Flushing, NY 11367, United States of America; Earth and Environmental Sciences Department, Graduate Center, City University of New York , New York, NY 10016, United States of AmericaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaState Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University , Beijing 100875, People’s Republic of China; Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Faculty of Geographical Science, Beijing Normal University , Beijing 100875, People’s Republic of ChinaDrought legacy effects of forest ecosystems have been widely observed. However, the influence of forest type and stock volume on its recovery path is poorly understood. In this research, we first used the Standardized Precipitation Evapotranspiration Index to identify a drought event. Then, we applied the normalized difference vegetation index deficit and forest property maps derived from forest inventories to investigate the potential impacts of forest properties on forest recovery paths. The results showed that the legacy effects 1–3 years after a drought event were pervasive, but the forest recovery path was highly dependent on the forest type and forest stock volume. The recovery of forests with low stock volume densities (<60 m ^3 ha ^−1 ) was mostly stronger than that of forests with high stock volume densities (≥60 m ^3 ha ^−1 ) by the second year. Although all forests with different stock volume densities approximately returned to a normal status by the third year, they followed various paths to recovery. Natural coniferous forests in China that have a similar stock volume density (<60 m ^3 ha ^−1 ) took longer to recover than planted coniferous forests and exhibited a lower magnitude of recovery. These findings highlight that drought legacy effects are greater for natural coniferous forests with high stock volume densities, which provides insightful forest management information on how to speed up forest recovery with forest density control and type control.https://doi.org/10.1088/1748-9326/ac57e5drought legacy effectsforest recoverystock volumeplanted and natural forestsNDVISPEI |
| spellingShingle | Hui Luo Tao Zhou Peixin Yu Chuixiang Yi Xia Liu Yajie Zhang Peifang Zhou Jingzhou Zhang Yixin Xu The forest recovery path after drought dependence on forest type and stock volume Environmental Research Letters drought legacy effects forest recovery stock volume planted and natural forests NDVI SPEI |
| title | The forest recovery path after drought dependence on forest type and stock volume |
| title_full | The forest recovery path after drought dependence on forest type and stock volume |
| title_fullStr | The forest recovery path after drought dependence on forest type and stock volume |
| title_full_unstemmed | The forest recovery path after drought dependence on forest type and stock volume |
| title_short | The forest recovery path after drought dependence on forest type and stock volume |
| title_sort | forest recovery path after drought dependence on forest type and stock volume |
| topic | drought legacy effects forest recovery stock volume planted and natural forests NDVI SPEI |
| url | https://doi.org/10.1088/1748-9326/ac57e5 |
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