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Northeast Normal University (2021)

Simulation of GPP Based on Solar-induced Chlorophyll Fluorescence and Its Response to Drought in Mongolian Plateau

来全

Titre : Simulation of GPP Based on Solar-induced Chlorophyll Fluorescence and Its Response to Drought in Mongolian Plateau

Auteur : 来全

Grade : Doctoral Dissertation 2021

Université : Northeast Normal University

Résumé partiel
The continuous global warming has changed the distribution of water resources,and the hydrological cycle in many regions has been severely affected by climate change,leading to frequent occurrences of natural disasters on a global scale.Ecologically fragile arid/semi-arid regions are very sensitive to climate change,and the frequency,intensity,and scope of droughts tend to increase.The Mongolian Plateau is located in a typical arid/semi-arid zone,with abundant vegetation resources,plays an important role in East Asia and even the global carbon cycle,and is an important ecological security barrier in northern of China.The negative impact of drought and water shortage on vegetation productivity is an important factor restricting the ecological construction and sustainable economic and social development of the Mongolian Plateau.Therefore,it is of great significance to improve the comprehensive monitoring capability of the Mongolian Plateau for drought and the estimation accuracy of regional-scale vegetation gross primary productivity(GPP),and to explore the response of the green vegetation productivity of the Mongolian Plateau to drought is of great significance to the sustainable development of the ecological environment in the region.From the perspective of“atmosphere-vegetation-soil”,this dissertation takes the response relationship between vegetation ecosystems and drought as the research topic.Firstly,the potential relationship between solar-induced chlorophyll fluorescence(SIF)and GPP is used to construct three SIF-based GPP estimates.The model is used to screen the optimal GPP estimation model through ground observation data,and based on the GPP dataset output by the model,dynamically analyze the spatio-temporal characteristics of the GPP in the study area,revealing the evolution of the vegetation ecosystem GPP ;Secondly,the Copula function is used to effectively couple soil moisture and meteorological data to construct the MMSDI drought monitoring index,which systematically analyzes the intensity,scope and frequency of drought on the Mongolian Plateau from 1981 to 2018,as well as the spatio-temporal trends and abrupt changes of drought on different time scales.In addition,Discussed the influencing factors of drought from the perspective of regional environment and atmospheric circulation.Thirdly,from the perspectives of sensitivity,resilience,resistance,vulnerability,etc.,quantitatively evaluated the response of different vegetation ecosystems GPP on the Mongolian Plateau to multi-scale drought ;Finally,based on the CMIP6 model data,the Mongolian Plateau drought and vegetation GPP under different future emission scenarios were estimated,and their temporal and spatial evolution laws were studied respectively.The research content has improved the accuracy of GPP and drought monitoring on the Mongolian Plateau,and solved the key issue of quantifying the impact of drought on the growth status of different vegetations in the study area.

Mots clés : Mongolian Plateau ;Comprehensive Drought Index ;GPP Retrieval Model ;Sun-Induced Chlorophyll ;Response Relationship ;Climatic Model ;

Présentation (CNKI)

Page publiée le 23 octobre 2021