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An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns
Geng, Shoubao1,2; Li, Wei3,4; Kang, Tingting5; Shi, Peili2,6; Zhu, Wanrui2,6
2021-10-01
Source PublicationECOLOGICAL INDICATORS
ISSN1470-160X
Volume129Pages:11
Corresponding AuthorShi, Peili(shipl@igsnrr.ac.cn)
AbstractVegetation productivity simulation at large scales has become an important issue as it reflects the spatial difference of ecosystem carbon sequestration. Vegetation productivity patterns are generally controlled by environmental factors such as climate and soil. However, most of the current models focus on climatic limitations on productivity, whereas soil restrictions have been rarely considered. Moreover, some models are too sophisticated to exert their applications. In this study, we integrated vapor pressure deficit, minimum temperature, and soil quality into a simple water-temperature-soil index (WTSI) to simulate vegetation productivity patterns, and identified the spatial classification of the three environmental constraints on productivity in the Taihang Mountains. Results showed that WTSI was significantly correlated with NDVI at both annual and seasonal scales and the integration of soil quality and climatic constraints could greatly increase the accuracy of productivity simulation except for summer, indicating that WTSI was highly effective to model vegetation productivity patterns. The spatial patterns of WTSI presented three distinct regions with a descending trend of the averaged WTSI values from the southern to the northern and then to the central part of the study area, suggesting that the constraints of water, temperature, and soil factors were minimum in the south but maximum in the center for vegetation. The seasonal dynamics of WTSI depended on the cyclic variations of hydrothermal conditions from nearly unconstrained in summer to almost completely restricted in winter for plant growth, with spring and autumn as transition periods. WTSI and NDVI generally had similar variation trends along elevation gradients but diverse performances among vegetation types with more consistencies for forests, shrubs, and steppes than meadows and crops. WTSI was significantly correlated with NDVI for all vegetation types with comparable correlation coefficients (R2) for forests (0.73), shrubs (0.70), and steppes (0.72), followed by crops (0.57) and meadows (0.41). RGB composite and spatial classification of the three environmental constraints illustrated that water-limited regions were mainly distributed in the southern and eastern basins and piedmont plains, and lowtemperature stress mostly occurred in the northern and central regions with high elevations, and most of the south-central regions were largely controlled by soil quality. Thus, spatially explicit strategies and practices could be accordingly proposed for ecosystem conservation and management.
KeywordVegetation productivity pattern Climatic constraint Soil quality Water-temperature-soil index Vegetation type Spatial classification the Taihang Mountains
DOI10.1016/j.ecolind.2021.108015
WOS KeywordGROSS PRIMARY PRODUCTION ; LIGHT USE EFFICIENCY ; NET PRIMARY PRODUCTIVITY ; TAIHANG MOUNTAIN ; SATELLITE ; PRECIPITATION ; TEMPERATURE ; NITROGEN ; ENVIRONMENT ; RESOLUTION
Indexed BySCI
Language英语
Funding ProjectGDAS' Project of Science and Technology Development[2020GDASYL20200103007] ; GDAS' Project of Science and Technology Development[2020GDASYL-20200301003] ; National Key Project for Basic Research of China[2015CB452705]
Funding OrganizationGDAS' Project of Science and Technology Development ; National Key Project for Basic Research of China
WOS Research AreaBiodiversity & Conservation ; Environmental Sciences & Ecology
WOS SubjectBiodiversity Conservation ; Environmental Sciences
WOS IDWOS:000681691700004
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/164698
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShi, Peili
Affiliation1.Guangdong Acad Sci, Guangzhou Inst Geog, Key Lab Guangdong Utilizat Remote Sensing & Geog, Guangdong Open Lab Geospatial Informat Technol &, Guangzhou 510070, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, 11A Datun Rd, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Geng, Shoubao,Li, Wei,Kang, Tingting,et al. An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns[J]. ECOLOGICAL INDICATORS,2021,129:11.
APA Geng, Shoubao,Li, Wei,Kang, Tingting,Shi, Peili,&Zhu, Wanrui.(2021).An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns.ECOLOGICAL INDICATORS,129,11.
MLA Geng, Shoubao,et al."An integrated index based on climatic constraints and soil quality to simulate vegetation productivity patterns".ECOLOGICAL INDICATORS 129(2021):11.
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