DOI: 10.5194/hess-21-2405-2017
Scopus记录号: 2-s2.0-85018904570
论文题名: The spatial distribution and temporal variation of desert riparian forests and their influencing factors in the downstream Heihe River basin, China
作者: DIng J ; , Zhao W ; , Daryanto S ; , Wang L ; , Fan H ; , Feng Q ; , Wang Y
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 5 起始页码: 2405
结束页码: 2419
语种: 英语
Scopus关键词: Climate change
; Conservation
; Ecosystems
; Forestry
; Groundwater
; Landforms
; Moisture
; Remote sensing
; Restoration
; Rivers
; Soil conservation
; Soil moisture
; Soils
; Spatial distribution
; Vegetation
; Watersheds
; Conservation measures
; Environmental factors
; Normalized difference vegetation index
; Remote sensing data
; Spatial heterogeneity
; Vegetation community
; Vegetation recovery
; Water availability
; Soil surveys
; climate change
; community dynamics
; desert
; ecosystem service
; environmental degradation
; environmental disturbance
; environmental factor
; human activity
; NDVI
; plant community
; regeneration
; remote sensing
; riparian forest
; soil property
; spatial distribution
; temporal variation
; vegetation dynamics
; China
; Gansu
; Heihe Basin
英文摘要: Desert riparian forests are the main restored vegetation community in Heihe River basin. They provide critical habitats and a variety of ecosystem services in this arid environment. Since desert riparian forests are also sensitive to disturbance, examining the spatial distribution and temporal variation of these forests and their influencing factors is important to determine the limiting factors of vegetation recovery after long-term restoration. In this study, field experiment and remote sensing data were used to determine the spatial distribution and temporal variation of desert riparian forests and their relationship with the environmental factors. We classified five types of vegetation communities at different distances from the river channel. Community coverage and diversity formed a bimodal pattern, peaking at the distances of 1000 and 3000m from the river channel. In general, the temporal normalized difference vegetation index (NDVI) trend from 2000 to 2014 was positive at different distances from the river channel, except for the region closest to the river bank (i.e. within 500m from the river channel), which had been undergoing degradation since 2011. The spatial distribution of desert riparian forests was mainly influenced by the spatial heterogeneity of soil properties (e.g. soil moisture, bulk density and soil particle composition). Meanwhile, while the temporal variation of vegetation was affected by both the spatial heterogeneity of soil properties (e.g. soil moisture and soil particle composition) and to a lesser extent, the temporal variation of water availability (e.g. annual average and variability of groundwater, soil moisture and runoff). Since surface (0-30cm) and deep (100-200cm) soil moisture, bulk density and the annual average of soil moisture at 100cm obtained from the remote sensing data were regarded as major determining factors of community distribution and temporal variation, conservation measures that protect the soil structure and prevent soil moisture depletion (e.g. artificial soil cover and water conveyance channels) were suggested to better protect desert riparian forests under climate change and intensive human disturbance. © 2017 The Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79180
Appears in Collections: 气候变化事实与影响
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作者单位: State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, China; Department of Earth Sciences, Indiana University-Purdue University, Indianapolis (IUPUI), Indianapolis, IN, United States; College of Forestry, Shanxi Agricultural University, Taigu, Shanxi, China
Recommended Citation:
DIng J,, Zhao W,, Daryanto S,et al. The spatial distribution and temporal variation of desert riparian forests and their influencing factors in the downstream Heihe River basin, China[J]. Hydrology and Earth System Sciences,2017-01-01,21(5)