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Article

A Study on Sensitivities of Tropical Forest GPP Responding to the Characteristics of Drought—A Case Study in Xishuangbanna, China

1
College of Ecology and Environment, Hainan University, Haikou 570228, China
2
Danzhou Tropical Crops Scientific Observation and Experimental Station, Ministry of Agriculture and Rural Affairs, Haikou 570100, China
3
Economic Development Research Center of National Forestry and Grassland Administration, Ministry of Agriculture and Rural Affairs, Beijing 100000, China
*
Author to whom correspondence should be addressed.
Academic Editors: Zhenghong Tan and Ge Sun
Water 2022, 14(2), 157; https://doi.org/10.3390/w14020157
Received: 9 November 2021 / Revised: 23 December 2021 / Accepted: 29 December 2021 / Published: 7 January 2022
Droughts that occur in tropical forests (TF) are expected to significantly impact the gross primary production (GPP) and the capacity of carbon sinks. Therefore, it is crucial to evaluate and analyze the sensitivities of TF-GPP to the characteristics of drought events for understanding global climate change. In this study, the standardized precipitation index (SPI) was used to define the drought intensity. Then, the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM) was utilized to simulate the dynamic process of GPP corresponding to multi-gradient drought scenarios—rain and dry seasons × 12 level durations × 4 level intensities. The results showed that drought events in the dry season have a significantly greater impact on TF-GPP than drought events in the rainy season, especially short-duration drought events. Furthermore, the impact of drought events in the rainy season is mainly manifested in long-duration droughts. Due to abundant rainfall in the rainy season, only extreme drought events caused a significant reduction in GPP, while the lack of water in the dry season caused significant impacts due to light drought. Effective precipitation and soil moisture stock in the rainy season are the most important support for the tropical forest dry season to resist extreme drought events in the study area. Further water deficit may render the tropical forest ecosystem more sensitive to drought events. View Full-Text
Keywords: tropical forest; gross primary production; sensitivity analysis; SEIB-DGVM; multi-gradient drought scenarios tropical forest; gross primary production; sensitivity analysis; SEIB-DGVM; multi-gradient drought scenarios
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MDPI and ACS Style

Xiong, Q.; Sun, Z.; Cui, W.; Lei, J.; Fu, X.; Wu, L. A Study on Sensitivities of Tropical Forest GPP Responding to the Characteristics of Drought—A Case Study in Xishuangbanna, China. Water 2022, 14, 157. https://doi.org/10.3390/w14020157

AMA Style

Xiong Q, Sun Z, Cui W, Lei J, Fu X, Wu L. A Study on Sensitivities of Tropical Forest GPP Responding to the Characteristics of Drought—A Case Study in Xishuangbanna, China. Water. 2022; 14(2):157. https://doi.org/10.3390/w14020157

Chicago/Turabian Style

Xiong, Qian, Zhongyi Sun, Wei Cui, Jizhou Lei, Xiuxian Fu, and Lan Wu. 2022. "A Study on Sensitivities of Tropical Forest GPP Responding to the Characteristics of Drought—A Case Study in Xishuangbanna, China" Water 14, no. 2: 157. https://doi.org/10.3390/w14020157

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