Responses of Climatic Drought to Vegetation Cover Dynamics: A Case Study in Yunnan, China

被引:1
作者
Wan, Yangtao [1 ]
Han, Han [1 ]
Mao, Yao [2 ]
He, Bao-Jie [3 ,4 ,5 ]
机构
[1] Yunnan Univ, Sch Architecture & Urban Planning, Kunming 650550, Peoples R China
[2] Southwest Univ, Sch Geog Sci, Chongqing 400715, Peoples R China
[3] Chongqing Univ, Ctr Climate Resilient & Low Carbon Cities, Sch Architecture & Urban Planning, Key Lab New Technol Construct Cities Mt Area,Minis, Chongqing 400045, Peoples R China
[4] Univ Queensland, Sch Architecture Design & Planning, Brisbane, Qld 4072, Australia
[5] CMA Key Open Lab Transforming Climate Resources Ec, Chongqing 401147, Peoples R China
基金
中国国家自然科学基金;
关键词
climatic drought; vegetation cover; quantitative structure; landscape pattern; landscape indicators; influencing mechanism; EVAPOTRANSPIRATION INDEX SPEI; LAND-USE CHANGE; LANDSCAPE PATTERN; PRECIPITATION; IMPACTS; SENSITIVITY; PROVINCE; TRANSPIRATION; AFFORESTATION; VARIABILITY;
D O I
10.3390/f15101689
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Vegetation cover can regulate regional climate and associated dry-wet variations. However, the effects of the quantitative structure and landscape pattern of vegetation cover on climatic drought remain unclear. Yunnan Province in China, with its abundant vegetation resources, provides a good setting for addressing this research gap. Our objective is to provide guiding recommendations for climate-warming mitigation through the study of the topic. This study adopted four periods of vegetation cover data, from 1992 to 2020, and explored their dynamics. Monthly average precipitation and temperature data from 125 meteorological stations in Yunnan were used to calculate standardized precipitation-evapotranspiration index (SPEI) for 1992-2020 to understand the responses of climatic drought to vegetation cover dynamics. The correlations between quantitative structure, landscape pattern, and climatic drought were investigated by Pearson's correlation coefficient in 10 km, 20 km, 30 km, and 40 km grid cells, respectively. The results indicate that changes in the quantitative structure of vegetation could influence regional climates, with the contributions to climatic drought mitigation ranked in the following order: broad-leaved forest > shrubland > needle-leaved forest > cropland > grassland. Landscape patterns significantly affected local climates, where broad-leaved and needle-leaved forests had the strongest and most stable correlations with climatic drought, whereas shrubland and grassland showed weaker correlations. The correlations between landscape patterns and climatic drought were stronger during the dry season than the rainy season. Factors such as the landscape dominance index, fragmentation index, and aggregation index had a significant impact on climatic drought. The dominant and aggregated-distribution broad-leaved forests were conducive to climatic drought mitigation, while needle-leaved forests, croplands, and grasslands might exacerbate climatic drought.
引用
收藏
页数:28
相关论文
共 109 条
[1]   On the coupling between vegetation and the atmosphere [J].
Angelini, Isabella M. ;
Garstang, Michael ;
Davis, Robert E. ;
Hayden, Bruce ;
Fitzjarrald, David R. ;
Legates, David R. ;
Greco, Steven ;
Macko, Stephen ;
Connors, Vickie .
THEORETICAL AND APPLIED CLIMATOLOGY, 2011, 105 (1-2) :243-261
[2]   Drought indicators revisited: the need for a wider consideration of environment and society [J].
Bachmair, Sophie ;
Stahl, Kerstin ;
Collins, Kevin ;
Hannaford, Jamie ;
Acreman, Mike ;
Svoboda, Mark ;
Knutson, Cody ;
Smith, Kelly Helm ;
Wall, Nicole ;
Fuchs, Brian ;
Crossman, Neville D. ;
Overton, Ian C. .
WILEY INTERDISCIPLINARY REVIEWS-WATER, 2016, 3 (04) :516-536
[3]   Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring [J].
Begueria, Santiago ;
Vicente-Serrano, Sergio M. ;
Reig, Fergus ;
Latorre, Borja .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2014, 34 (10) :3001-3023
[4]   Biogeophysical effects of land use on climate: Model simulations of radiative forcing and large-scale temperature change [J].
Betts, Richard A. ;
Falloon, Peter D. ;
Goldewijk, Kees Klein ;
Ramankutty, Navin .
AGRICULTURAL AND FOREST METEOROLOGY, 2007, 142 (2-4) :216-233
[5]   Development of a landscape indicator to evaluate the effect of landscape pattern on surface runoff in the Haihe River Basin [J].
Bin, Lingling ;
Xu, Kui ;
Xu, Xinyi ;
Lian, Jijian ;
Ma, Chao .
JOURNAL OF HYDROLOGY, 2018, 566 :546-557
[6]  
Bounoua L, 2000, J CLIMATE, V13, P2277, DOI 10.1175/1520-0442(2000)013<2277:SOCTCI>2.0.CO
[7]  
2
[8]   Hydrometeorology of tropical montane cloud forests: emerging patterns [J].
Bruijnzeel, L. A. ;
Mulligan, Mark ;
Scatena, Frederick N. .
HYDROLOGICAL PROCESSES, 2011, 25 (03) :465-498
[9]   An index for the interface between the Indian summer monsoon and the East Asian summer monsoon [J].
Cao, Jie ;
Hu, Jinming ;
Tao, Yun .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2012, 117
[10]   DYNAMICS OF DESERTS AND DROUGHT IN SAHEL [J].
CHARNEY, JG .
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 1975, 101 (428) :193-202