Abstract
Inner Mongolia Autonomous Region (IMAR) is related to China’s ecological security and the improvement of ecological environment; thus, the vegetation’s response to climate changes in IMAR has become an important part of current global change research. As existing achievements have certain deficiencies in data preprocessing, technical methods and research scales, we correct the incomplete data pre-processing and low verification accuracy; use grey relational analysis (GRA) to study the response of Enhanced Vegetation Index (EVI) in the growing season to climate factors on the pixel scale; explore the factors that affect the response speed and response degree from multiple perspectives, including vegetation type, longitude, latitude, elevation and local climate type; and solve the problems of excessive ignorance of details and severe distortion of response results due to using average values of the wide area or statistical data. The results show the following. 1. The vegetation status of IMAR in 2000-2018 was mainly improved. The change rates were 0.23/10° N and 0.25/10° E, respectively. 2. The response speed and response degree of forests to climatic factors are higher than that of grasslands. 3. The lag time of response for vegetation growth to precipitation, air temperature and relative humidity in IMAR is mainly within 2 months. The speed of vegetation‘s response to climate change in IMAR is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude. 4. Vegetation types and altitude gradients are the two most important factors affecting the degree of vegetation’s response to climate factors. It is worth noting that when the altitude rises to 2500 m, the dominant factor for the vegetation growth changes from precipitation to air temperature in terms of hydrothermal combination in the environment. Vegetation growth in areas with relatively high altitudes is more dependent on air temperature.
Highlights
The response of Global Climate Change and Terrestrial Ecosystem (GCTE) is the core content of the International Geosphere and Biosphere Programme (IGBP) [1,2], which has long received great attention from the international scientific community and the international community
The speed of vegetation‘s response to climate change in Inner Mongolia Autonomous Region (IMAR) is mainly affected by four major factors: vegetation type, altitude gradient, local climate type and latitude
The Enhanced Vegetation Index (EVI) is an important indicator reflecting the growth status of surface vegetation, serving as an effective method for the dynamic monitoring of vegetation at different scales and its response to climate factors [6,7]; it is very sensitive to changes in physical characteristics of vegetation
Summary
The response of Global Climate Change and Terrestrial Ecosystem (GCTE) is the core content of the International Geosphere and Biosphere Programme (IGBP) [1,2], which has long received great attention from the international scientific community and the international community. The correlation analysis method and regression analysis method are widely used to study the relationship between vegetation’s quantitative factors of remote sensing and the response of climate change [25,26] These methods require that each variable meets the normal distribution, and in the analysis process, the extreme value of each factor may have a great impact on the analysis results [27]. All data sources are subjected to strict multiple pre-processing, which further corrects the defects of incomplete data pre-processing and low verification accuracy in the existing studies, and a pixel-based lag analysis method is adopted to obtain the degree of response and lag time of vegetation growth to climate change, settling the problems of excessive ignorance of details, severe distortion of lag response results and overgeneralization, which are caused by using average values of the wide area or statistical data. Multiple perspectives such as types, longitudes, latitudes, elevations and local climate types are taken to explore the factors that affect their response speed and degree of response in order to more accurately and comprehensively display and evaluate the spatial and temporal differences in the response of EVI to different climate factors in IMAR
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
