The variation of vegetation greenness and underlying mechanisms in Guangdong province of China during 2001–2013 based on MODIS data

Wu, Yuzhen; Tang, Guping; Gu, Hui; Liu, Yonglin; Yang, Muzhen; Sun, Lin

doi:10.1016/j.scitotenv.2018.10.380

Cited by 49 publications

(45 citation statements)

References 48 publications

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“…However, in most Chinese agricultural zones, greenness changes were predominantly affected by temperature as opposed to cropland percentage and cropland changes. Previous studies also suggested that in most parts of China, vegetation greenness is more sensitive to temperature rather than precipitation [77,78], which was consistent with our findings. Hua et al [24] found that in southern China, the relationship between NDVI and temperature was positive, suggesting that warmer climate could enhance vegetation activity.…”

Section: Implications Of the Relationship Between Vegetation Greenness And Cropland Changes As Well As Climatesupporting

confidence: 93%

Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China

Zhang

Liang

Xiao

2020

Land

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Chinese croplands have changed considerably over the past decades, but their impacts on the environment remain underexplored. Meanwhile, understanding the contributions of human activities to vegetation greenness has been attracting more attention but still needs to be improved. To address both issues, this study explored vegetation greening and its relationships with Chinese cropland changes and climate. Greenness trends were first identified from the normalized difference vegetation index and leaf area index from 1982–2015 using three trend detection algorithms. Boosted regression trees were then performed to explore underlying relationships between vegetation greening and cropland and climate predictors. The results showed the widespread greening in Chinese croplands but large discrepancies in greenness trends characterized by different metrics. Annual greenness trends in most Chinese croplands were more likely nonlinearly associated with climate compared with cropland changes, while cropland percentage only predominantly contributed to vegetation greening in the Sichuan Basin and its surrounding regions with leaf area index data and, in the Northeast China Plain, with vegetation index data. Results highlight both the differences in vegetation greenness using different indicators and further impacts on the nonlinear relationships with cropland and climate, which have been largely ignored in previous studies.

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Section: Implications Of the Relationship Between Vegetation Greenness And Cropland Changes As Well As Climatesupporting

confidence: 93%

Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China

Zhang

Liang

Xiao

2020

Land

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“…Both green [ 75 ] and blue space [ 76 ] are affected by the climatic condition. The meteorological factors have been recognized as dominant environmental factors that could affect the dynamics of dengue [ 77 ].…”

Section: Discussionmentioning

confidence: 99%

Land use and land cover change and its impacts on dengue dynamics in China: A systematic review

et al. 2021

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Background Dengue is a prioritized public health concern in China. Because of the larger scale, more frequent and wider spatial distribution, the challenge for dengue prevention and control has increased in recent years. While land use and land cover (LULC) change was suggested to be associated with dengue, relevant research has been quite limited. The “Open Door” policy introduced in 1978 led to significant LULC change in China. This systematic review is the first to review the studies on the impacts of LULC change on dengue dynamics in China. This review aims at identifying the research evidence, research gaps and provide insights for future research. Methods A systematic literature review was conducted following the PRISMA protocol. The combinations of search terms on LULC, dengue and its vectors were searched in the databases PubMed, Web of Science, and Baidu Scholar. Research conducted on China published from 1978 to December 2019 and written in English or Chinese was selected for further screening. References listed in articles meeting the inclusion criteria were also reviewed and included if again inclusion criteria were met to minimize the probability of missing relevant research. Results 28 studies published between 1978 and 2017 were included for the full review. Guangdong Province and southern Taiwan were the major regional foci in the literature. The majority of the reviewed studies observed associations between LULC change factors and dengue incidence and distribution. Conflictive evidence was shown in the studies about the impacts of green space and blue space on dengue in China. Transportation infrastructure and urbanization were repeatedly suggested to be positively associated with dengue incidence and spread. The majority of the studies reviewed considered meteorological and sociodemographic factors when they analyzed the effects of LULC change on dengue. Primary and secondary remote sensing (RS) data were the primary source for LULC variables. In 21 of 28 studies, a geographic information system (GIS) was used to process data of environmental variables and dengue cases and to perform spatial analysis of dengue. Conclusions The effects of LULC change on the dynamics of dengue in China varied in different periods and regions. The application of RS and GIS enriches the means and dimensions to explore the relations between LULC change and dengue. Further comprehensive regional research is necessary to assess the influence of LULC change on local dengue transmission to provide practical advice for dengue prevention and control.

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“…Ordinary Kriging (OK) approach was employed to generate spatially interpolated climate data with the same spatial resolution and geographic coordinate system as those of the NDVI data. The OK interpolation method takes into account the effects of topography on temperature and precipitation [38]. All gridded images were then cropped to cover the study areas using the watershed boundary vector data.…”

Section: Data and Processingmentioning

confidence: 99%

Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016

Pei

Wang

et al. 2019

Remote Sensing

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Since the implementation of China’s afforestation and conservation projects during recent decades, an increasing number of studies have reported greening trends in the karst regions of southwest China using coarse-resolution satellite imagery, but small-scale changes in the heterogenous landscapes remain largely unknown. Focusing on two typical karst regions in the Nandong and Xiaojiang watersheds in Yunnan province, we processed 2,497 Landsat scenes from 1988 to 2016 using the Google Earth Engine cloud platform and analyzed vegetation trends and associated drivers. We found that both watersheds experienced significant increasing trends in annual fractional vegetation cover, at a rate of 0.0027 year−1 and 0.0020 year−1, respectively. Notably, the greening trends have been intensifying during the conservation period (2001–2016) even under unfavorable climate conditions. Human-induced ecological engineering was the primary factor for the increased greenness. Moreover, vegetation change responded differently to variations in topographic gradients and lithological types. Relatively more vegetation recovery was found in regions with moderate slopes and elevation, and pure limestone, limestone and dolomite interbedded layer as well as impure carbonate rocks than non-karst rocks. Partial correlation analysis of vegetation trends and temperature and precipitation trends suggested that climate change played a minor role in vegetation recovery. Our findings contribute to an improved understanding of the mechanisms behind vegetation changes in karst areas and may provide scientific supports for local afforestation and conservation policies.

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The variation of vegetation greenness and underlying mechanisms in Guangdong province of China during 2001–2013 based on MODIS data

Cited by 49 publications

References 48 publications

Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China

Observed Vegetation Greening and Its Relationships with Cropland Changes and Climate in China

Land use and land cover change and its impacts on dengue dynamics in China: A systematic review

Time Series of Landsat Imagery Shows Vegetation Recovery in Two Fragile Karst Watersheds in Southwest China from 1988 to 2016

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