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Forest Resistance and Resilience to 2002 Drought in Northern China
| Content Provider | MDPI |
|---|---|
| Author | Li, Xiran Yao, Yitong Yin, Guodong Peng, Feifei Liu, Muxing |
| Copyright Year | 2021 |
| Description | Drought can weaken forest activity and even lead to forest mortality, and the response of different forest types to drought can be diverse. Deciduous broadleaf forest (DBF) and deciduous needleleaf forest (DNF) are two of the majority forest types in northern China. In this region, a severe drought event happened in 2002. However, due to the lack of data, the spatio-temporal characteristics of the ecosystem stability of different forest types here remain unclear. In this study, we used a machine learning approach (model tree ensemble, MTE) to drive fluxsite gross primary productivity (GPP), combined with remote sensing-based GPP and a vegetation index data (EVI), to analyze the spatial and temporal characteristics of resistance and resilience of DNF and DBF in northern China during and after the 2002 drought. The results showed that the DBFs were more acclimatized to the drought, while the resistance and resilience of DNF and DBF were diverse under different consecutive drought events. These results could be suggestive for forest conservation and vegetation modeling. |
| Starting Page | 2919 |
| e-ISSN | 20724292 |
| DOI | 10.3390/rs13152919 |
| Journal | Remote Sensing |
| Issue Number | 15 |
| Volume Number | 13 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-07-25 |
| Access Restriction | Open |
| Subject Keyword | Remote Sensing Drought Resistance Resilience Needleleaf Forests Broadleaf Forests Northern China |
| Content Type | Text |
| Resource Type | Article |
