Vegetation Change and Its Response to Climate Change in Yunnan Province, China
The impact of global climate change on vegetation has become increasingly prominent over the past several decades. Understanding vegetation change and its response to climate can provide fundamental information for environmental resource management. In recent years, the arid climate and fragile ecos...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2021/8857589 |
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| author | Huaizhang Sun Jiyan Wang Junnan Xiong Jinhu Bian Huaan Jin Weiming Cheng Ainong Li |
| author_facet | Huaizhang Sun Jiyan Wang Junnan Xiong Jinhu Bian Huaan Jin Weiming Cheng Ainong Li |
| author_sort | Huaizhang Sun |
| collection | DOAJ |
| description | The impact of global climate change on vegetation has become increasingly prominent over the past several decades. Understanding vegetation change and its response to climate can provide fundamental information for environmental resource management. In recent years, the arid climate and fragile ecosystem have led to great changes in vegetation in Yunnan Province, so it is very important to further study the relationship between vegetation and climate. In this study, we explored the temporal changes of normalized difference vegetation index (NDVI) in different seasons based on MOD13Q1 NDVI by the maximum value composite and then analyzed spatial distribution characteristics of vegetation using Sen’s tendency estimation, Mann–Kendall significance test, and coefficient of variation model (CV) combined with terrain factors. Finally, the concurrent and lagged effects of NDVI on climate factors in different seasons and months were discussed using the Pearson correlation coefficient. The results indicate that (1) the temporal variation of the NDVI showed that the NDVI values of different vegetation types increased at different rates, especially in growing season, spring, and autumn; (2) for spatial patterns, the NDVI, CV, and NDVI trends had strong spatial heterogeneity owning to the influence of altitudes, slopes, and aspects; and (3) the concurrent effect of vegetation on climate change indicates that the positive effect of temperature on NDVI was mainly in growing season and autumn, whereas spring NDVI was mainly influenced by precipitation. In addition, the lag effect analysis results revealed that spring precipitation has a definite inhibition effect on summer and autumn vegetation, but spring and summer temperature can promote the growth of vegetation. Meanwhile, the precipitation in the late growing season has a lag effect of 1-2 months on vegetation growth, and air temperature has a lag effect of 1 month in the middle of the growing season. Based on the above results, this study provided valuable information for ecosystem degradation and ecological environment protection in the Yunnan Province. |
| format | Article |
| id | doaj-art-bf5aa56f29a64c8a885df2d4543dfab1 |
| institution | Kabale University |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-bf5aa56f29a64c8a885df2d4543dfab12025-02-03T01:28:31ZengWileyAdvances in Meteorology1687-93091687-93172021-01-01202110.1155/2021/88575898857589Vegetation Change and Its Response to Climate Change in Yunnan Province, ChinaHuaizhang Sun0Jiyan Wang1Junnan Xiong2Jinhu Bian3Huaan Jin4Weiming Cheng5Ainong Li6School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, ChinaSchool of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, ChinaInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, ChinaInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, ChinaInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, ChinaThe impact of global climate change on vegetation has become increasingly prominent over the past several decades. Understanding vegetation change and its response to climate can provide fundamental information for environmental resource management. In recent years, the arid climate and fragile ecosystem have led to great changes in vegetation in Yunnan Province, so it is very important to further study the relationship between vegetation and climate. In this study, we explored the temporal changes of normalized difference vegetation index (NDVI) in different seasons based on MOD13Q1 NDVI by the maximum value composite and then analyzed spatial distribution characteristics of vegetation using Sen’s tendency estimation, Mann–Kendall significance test, and coefficient of variation model (CV) combined with terrain factors. Finally, the concurrent and lagged effects of NDVI on climate factors in different seasons and months were discussed using the Pearson correlation coefficient. The results indicate that (1) the temporal variation of the NDVI showed that the NDVI values of different vegetation types increased at different rates, especially in growing season, spring, and autumn; (2) for spatial patterns, the NDVI, CV, and NDVI trends had strong spatial heterogeneity owning to the influence of altitudes, slopes, and aspects; and (3) the concurrent effect of vegetation on climate change indicates that the positive effect of temperature on NDVI was mainly in growing season and autumn, whereas spring NDVI was mainly influenced by precipitation. In addition, the lag effect analysis results revealed that spring precipitation has a definite inhibition effect on summer and autumn vegetation, but spring and summer temperature can promote the growth of vegetation. Meanwhile, the precipitation in the late growing season has a lag effect of 1-2 months on vegetation growth, and air temperature has a lag effect of 1 month in the middle of the growing season. Based on the above results, this study provided valuable information for ecosystem degradation and ecological environment protection in the Yunnan Province.http://dx.doi.org/10.1155/2021/8857589 |
| spellingShingle | Huaizhang Sun Jiyan Wang Junnan Xiong Jinhu Bian Huaan Jin Weiming Cheng Ainong Li Vegetation Change and Its Response to Climate Change in Yunnan Province, China Advances in Meteorology |
| title | Vegetation Change and Its Response to Climate Change in Yunnan Province, China |
| title_full | Vegetation Change and Its Response to Climate Change in Yunnan Province, China |
| title_fullStr | Vegetation Change and Its Response to Climate Change in Yunnan Province, China |
| title_full_unstemmed | Vegetation Change and Its Response to Climate Change in Yunnan Province, China |
| title_short | Vegetation Change and Its Response to Climate Change in Yunnan Province, China |
| title_sort | vegetation change and its response to climate change in yunnan province china |
| url | http://dx.doi.org/10.1155/2021/8857589 |
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