Arid
DOI10.1007/s10113-015-0848-4
Human factors explain the majority of MODIS-derived trends in vegetation cover in Israel: a densely populated country in the eastern Mediterranean
Levin, Noam
通讯作者Levin, Noam
来源期刊REGIONAL ENVIRONMENTAL CHANGE
ISSN1436-3798
EISSN1436-378X
出版年2016
卷号16期号:4页码:1197-1211
英文摘要

Land cover and land use changes can result from climatic variability and climate changes, as well as from direct and indirect human drivers, such as growth in population and consumption. In this study, we aimed to examine whether major factors driving landscape changes (expressed in vegetation cover) in Israel, a densely populated country in the eastern Mediterranean Basin, are related to physical drivers or to human causes. To this end, we calculated statistical trends in the Normalized Difference Vegetation Index (NDVI-a spectral index representing vegetation cover) from a 14-year MODIS time series, between 2000 and 2014, to identify areas where vegetation cover has either increased or decreased. We chose 125 study areas where statistically significant changes in NDVI were found and used time series of monthly rainfall, Landsat images, Google Earth images and environmental GIS layers to identify the type and cause of landscape changes. The two most common general classes driving land cover changes were agricultural (56 of 125; expansion of agricultural areas or change in agricultural crops) and urban (28 of 125; urban expansion or urban greening). Other important drivers of landscape changes included forestry, woody encroachment, wildfire dynamics and water management. Climate variability was found to explain landscape changes in only 3 of the 125 study areas, all located in the transition zone between the desert and the Mediterranean climate regions of Israel, where a decrease in rainfall led to a decrease in NDVI values. NDVI as an indicator of landscape changes is not effective to detect changes in non-photosynthetic vegetation or to monitor changes in forests where leaf area index values are high. However, we show here that even in a highly heterogeneous and densely populated country, MODIS-derived time series of NDVI are informative to identify landscape change processes.


英文关键词Remote sensing Land use Land cover NDVI Human factors Climatic variability Rainfall
类型Article
语种英语
国家Israel
收录类别SCI-E ; SSCI
WOS记录号WOS:000373310600023
WOS关键词LAND-USE ; TEMPORAL PATTERNS ; COASTAL DUNES ; INDEX NDVI3G ; FOREST ; VARIABILITY ; RESOLUTION ; LANDSCAPE ; RAINFALL ; GIMMS
WOS类目Environmental Sciences ; Environmental Studies
WOS研究方向Environmental Sciences & Ecology
来源机构Hebrew University of Jerusalem
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/195917
作者单位Hebrew Univ Jerusalem, Dept Geog, IL-91905 Jerusalem, Israel
推荐引用方式
GB/T 7714
Levin, Noam. Human factors explain the majority of MODIS-derived trends in vegetation cover in Israel: a densely populated country in the eastern Mediterranean[J]. Hebrew University of Jerusalem,2016,16(4):1197-1211.
APA Levin, Noam.(2016).Human factors explain the majority of MODIS-derived trends in vegetation cover in Israel: a densely populated country in the eastern Mediterranean.REGIONAL ENVIRONMENTAL CHANGE,16(4),1197-1211.
MLA Levin, Noam."Human factors explain the majority of MODIS-derived trends in vegetation cover in Israel: a densely populated country in the eastern Mediterranean".REGIONAL ENVIRONMENTAL CHANGE 16.4(2016):1197-1211.
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