DOI: 10.1016/j.ecolind.2019.105888
论文题名: Greening and browning of the coastal areas in mainland China: Spatial heterogeneity, seasonal variation and its influential factors
作者: Meng Z. ; Liu M. ; Gao C. ; Zhang Y. ; She Q. ; Long L. ; Tu Y. ; Yang Y.
刊名: Ecological Indicators
ISSN: 1470160X
出版年: 2020
卷: 110 语种: 英语
英文关键词: Browning
; Climate change
; Coastal areas of mainland China
; Greening
; Human activities
; NDVI
Scopus关键词: Climate change
; Coastal zones
; Cultivation
; Economics
; Land use
; Statistical tests
; Browning
; Greening
; Human activities
; Mainland chinas
; NDVI
; Vegetation
; climate change
; coastal zone
; ecosystem management
; factor analysis
; heterogeneity
; human activity
; management practice
; NDVI
; pixel
; seasonal variation
; socioeconomic impact
; spatial analysis
; sustainability
; sustainable development
; China
英文摘要: Reliable detection and attribution of vegetation variations is a prerequisite for the development of sustainable ecosystem management strategies. Vegetation in coastal areas plays an important role in stabilizing the surface against wind erosion and provides habitat for wildlife. In this study, we analyzed the spatial heterogeneity and seasonal variation trend of greening or browning in coastal areas of mainland China (CAMC) during 1982–2015. Socioeconomic and climate factors were included to screen the driving forces for vegetation change in CAMC at the pixel scale. Based on the Normalized Difference Vegetation Index (NDVI) dataset from Global Inventory Modeling and Mapping Study (GIMMS), Mann-Kendall (M-K) trend test indicated that 33.71% of the study area was significantly greening (restoration) and 8.88% showed significant browning (degradation) with great seasonal variation. Compared to annual NDVI greened with a rate of 0.0006/a (p < 0.01), the vegetation in the spring presented a high rate of 0.0021/a (p < 0.01). It could be an interesting result for the earlier onset of the growing season that may stimulate photosynthetic rate and the intensification of agricultural activities. However, the greening trend rate in summer was the minimum (0.0006/a (p < 0.01)), implying that NDVI dataset calculated by maximum value composite (MVC) method may be insufficient to reflect and may underestimate the vegetation growth. In addition, greening was dominant at lower and middle elevations as the accelerated nitrogen deposition driven in cultivated plants enhanced vegetation growth. However, browning mainly occurred at high elevation with the warming temperature that may exacerbate moisture stress to plants. Socioeconomic factors, such as economic production and human populations, were the most important factors for vegetation changes. In addition, the agricultural intensity and land use/cover change also had influence on vegetation variations. The contribution of climate conditions to the vegetation browning or greening in CAMC was limited. © 2019 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158991
Appears in Collections: 气候变化与战略
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作者单位: Shanghai Key Lab for Urban Ecological Processes and Eco-restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, 200241, China; Institute of Eco-Chongming (IEC), Shanghai, 200062, China
Recommended Citation:
Meng Z.,Liu M.,Gao C.,et al. Greening and browning of the coastal areas in mainland China: Spatial heterogeneity, seasonal variation and its influential factors[J]. Ecological Indicators,2020-01-01,110