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Spatiotemporal variation and simulation of vegetation coverage in a typical degraded alpine meadow on the Tibetan Plateau
Zhu, Xuchao1; Shao, Mingan2,3; Tang, Xinzhai2; Liang, Yin1
2020-07-01
Source PublicationCATENA
ISSN0341-8162
Volume190Pages:10
Corresponding AuthorLiang, Yin(yliang@issas.ac.cn)
AbstractThe Qinghai-Tibetan Plateau is sensitive to global climate change and its vegetation is an important indicator of the change. Analyses of the mesoscale spatial variation of vegetation and its spatiotemporal influencing factors in alpine meadows are important for the management and model simulation of degraded meadows. We extracted data for vegetation coverage (VC) from digital photographs of a typically degraded alpine meadow for 22 occasions at 113 locations in a study plot. The spatial and temporal distribution, variability and influencing factors of VC were analyzed using classical statistics, geostatistics, temporal stability and correlation analysis. A first pedotransfer function was built for simulating temporal variation of VC. Average VC was 19.7 and 40.5% in the 2015 and 2016 growing seasons, respectively, and the classical and geostatistical parameters indicated moderate variability and a strong spatial dependence of the VC in the study plot. VC was correlated strongly negatively with soil bulk density and pH and strongly positively with soil organic-carbon density and total nitrogen and total potassium contents. VC was sinusoidally distributed in the 2015 growing season, which was mainly affected by rainfall-induced soil moisture condition, and was parabolically distributed in the 2016 growing season, which was mainly affected by temperature-dominated vegetation phenology. The mean coefficients of variation (CVs) of VC temporal variation in the 2015 and 2016 growing seasons were 39.8 and 36.5%, respectively, which were higher than the CVs (28.0 and 19.1%) for VC spatial variation, indicating that climate affected VC more than soil and topographical properties. The simulation of a pedotransfer function established by temporal variables i.e. 30 cm-depth soil-water content, air temperature and pressure was highly accurate and accounted for > 60% of the temporal variability of VC. These results provide basic data and recommendations for the mesoscale simulation of vegetation in alpine meadows and a scientific basis for the management of degraded meadows.
KeywordVegetation coverage Spatial distribution Geostatistical analysis Temporal stability Pedotransfer function Tibetan Plateau
DOI10.1016/j.catena.2020.104551
WOS KeywordSOIL HYDRAULIC-PROPERTIES ; FIELD-SCALE VARIABILITY ; DIFFERENT LAND-USE ; PEDOTRANSFER FUNCTIONS ; TEMPORAL STABILITY ; LOESS PLATEAU ; WATER CONTENT ; SPATIAL VARIABILITY ; PLANT-PRODUCTION ; MOISTURE
Indexed BySCI
Language英语
Funding ProjectNatural Science Foundation of Jiangsu Province, China[BK20181109] ; National Natural Science Foundation of China[41807019] ; National Key Research and Development Program of China[2018YFC1801801] ; Jiangsu Science and Technology Department[2019039] ; Soil and Water Conservation Monitoring Station of Jiangsu Province[JSSW201911005]
Funding OrganizationNatural Science Foundation of Jiangsu Province, China ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Jiangsu Science and Technology Department ; Soil and Water Conservation Monitoring Station of Jiangsu Province
WOS Research AreaGeology ; Agriculture ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS IDWOS:000525324600035
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/133899
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLiang, Yin
Affiliation1.Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 Beijing East Rd, Nanjing 210008, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhu, Xuchao,Shao, Mingan,Tang, Xinzhai,et al. Spatiotemporal variation and simulation of vegetation coverage in a typical degraded alpine meadow on the Tibetan Plateau[J]. CATENA,2020,190:10.
APA Zhu, Xuchao,Shao, Mingan,Tang, Xinzhai,&Liang, Yin.(2020).Spatiotemporal variation and simulation of vegetation coverage in a typical degraded alpine meadow on the Tibetan Plateau.CATENA,190,10.
MLA Zhu, Xuchao,et al."Spatiotemporal variation and simulation of vegetation coverage in a typical degraded alpine meadow on the Tibetan Plateau".CATENA 190(2020):10.
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