Attribution of the vegetation trends in a typical desertified watershed of northeast China over the past three decades

Wang, Siru; Lei, Huimin; Duan, Limin; Liu, Tingxi; Yang, Dawen

doi:10.1002/eco.1748

Cited by 4 publications

(4 citation statements)

References 52 publications

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“…The overall change trend of vegetation in the study period cannot truly reflect the changing characteristics of NDVI in different stages. Piecewise linear regression model is very powerful in extracting the turning point (TP) of NDVI time series, and has been widely used to evaluate the change trend of hydrology [61], NDVI, and climate over time [31,62]. In a single TP case, the calculation formula is as follows:…”

Section: Piecewise Linear Regression Analysismentioning

confidence: 99%

Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015

Sun

Chen

2021

Remote Sensing

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As an important part of a terrestrial ecosystem, vegetation plays an important role in the global carbon-water cycle and energy flow. Based on the Global Inventory Monitoring and Modeling System (GIMMS) third generation of Normalized Difference Vegetation Index (NDVI3g), meteorological station data, climate reanalysis data, and land cover data, this study analyzed the climate dynamics of the spatiotemporal variations of vegetation NDVI in northern China from 1982 to 2015. The results showed that growth season NDVI (NDVIgs) increased significantly at 0.006/10a (p < 0.01) in 1982–2015 on the regional scale. The period from 1982 to 2015 was divided into three periods: the NDVIgs increased by 0.026/10a (p < 0.01) in 1982–1990, decreased by −0.002/10a (p > 0.1) in 1990–2006, and then increased by 0.021/10a (p < 0.01) during 2006–2015. On the pixel scale, the increases in NDVIgs during 1982–2015, 1982–1990, 1990–2006, and 2006–2015 accounted for 74.64%, 85.34%, 48.14%, and 68.78% of the total area, respectively. In general, the dominant climate drivers of vegetation growth had gradually switched from solar radiation, temperature, and precipitation (1982–1990) to precipitation and temperature (1990–2015). For woodland, high coverage grassland, medium coverage grassland, low coverage grassland, the dominant climate drivers had changed from temperature and solar radiation, solar radiation and precipitation, precipitation and solar radiation, solar radiation to precipitation and solar radiation, precipitation, precipitation and temperature, temperature and precipitation. The areas controlled by precipitation increased significantly, mainly distributed in arid, sub-arid, and sub-humid areas. The dominant climate drivers for vegetation growth in the plateau climate zone or high-altitude area changed from solar radiation to temperature and precipitation, and then to temperature, while in cold temperate zone, changed from temperature to solar radiation. These results are helpful to understand the climate dynamics of vegetation growth, and have important guiding significance for vegetation protection and restoration in the context of global climate change.

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Section: Piecewise Linear Regression Analysismentioning

confidence: 99%

Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015

Sun

Chen

2021

Remote Sensing

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“…Grassland in arid and semi‐arid regions is most sensitive to precipitation change (He et al , ), whereas forests, with its deep root systems, are less vulnerable. Cropland is impacted by climatic change, but human management such as irrigation could mitigate the negative effects (Wang et al , ). The relationships between NDVI and climate factors are discussed in more details in Section 4.4 and 5.1.…”

Section: Resultsmentioning

confidence: 99%

Normalized Difference Vegetation Index‐based assessment of climate change impact on vegetation growth in the humid‐arid transition zone in northern China during 1982–2013

Yuan

Hou

et al. 2019

Intl Journal of Climatology

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As an ecologically sensitive region, the humid‐to‐arid climate transition zone in the eastern and central north China (ECNC) has experienced varied vegetation change in recent decades, but the exact impacts of climate change and human activities remain uncertain. Based on the Normalized Difference Vegetation Index (NDVI), we established the trend of vegetation change in the past three decades (1982–2013) in the ECNC, and examined the impact of climate and nonclimate factors on vegetation growth within the different eco‐regions. For the study period, the climate in ECNC became significantly warmer and slightly drier, and the overall NDVI increased significantly, but with great spatial variations. Our results suggest that temperature increase has promoted vegetation growth in places that are colder and/or wetter, and with higher vegetation coverage. Precipitation increase has promoted vegetation growth in drier places with sparse vegetation and inhibited growth in wet places with high vegetation coverage. As different eco‐regions typically have different vegetation coverage and occupy different climate zones, their response to climate change also varies. For the study period, increasing temperature and decreasing precipitation promoted vegetation growth in the forest of northern ECNC. Increasing temperature and precipitation led to NDVI increase in the grassland in the south, whereas grassland in the north and west showed no significant change despite temperature increase and precipitation decrease. Cropland responded mostly positively to temperature increase, although correlations between NDVI and climate factors were generally weaker. Using multiple regression models, we found that 60% of the NDVI increase was attributed to climate factors whereas the remaining 40% was likely caused by human activities. Although farming practices and crop rotations might have caused significant decrease in NDVI in small areas, human impact largely led to significant NDVI increase in the grass‐crop transition zones, most likely due to ecological restoration programs.

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“…1 ). In recent years, the relative impacts of climate change and human activities have been studied on the watershed ( Wang et al, 2016a ; Wang et al, 2016b ; Xu, Wang & Zhang, 2017 ), regional ( Xu, Wang & Zhang, 2016 ; Liu et al, 2018a ; Liu et al, 2018b ; Yan et al, 2019 ; Zheng et al, 2019 ) and national scales ( Thomas et al, 2014 ; Liu, Li & Li, 2015 ; Chen et al, 2019 ). Although there have been studies in Xinjiang ( Yang et al, 2017 ; Zhang et al, 2018 ), few studies have focused on the MBS.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research has reported that the grassland NPP has increased as a result of the increase in precipitation and temperature and the different ecological conservation projects in some areas of China ( Zhou et al, 2015 ). Moreover, some studies have indicated that the grassland NPP has decreased as a result of overgrazing and the arid climate ( Wang et al, 2016a ; Wang et al, 2016b ). Climate change has different impacts on various grassland types in an MBS; therefore, future changes in grassland ecosystems in the future may become more complicated, and we must also consider the intensification of anthropogenic activities.…”

Section: Introductionmentioning

confidence: 99%

Response of grassland productivity to climate change and anthropogenic activities in arid regions of Central Asia

Zhang

et al. 2020

PeerJ

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Background Quantitative evaluations of the relative impacts of climate change and anthropogenic activity on grasslands are significant for understanding grassland degradation mechanisms and controlling degraded grasslands. However, our knowledge about the effects of anthropogenic activities and climate change on the grassland in a mountain basin system in arid regions of Central Asia is still subject to great uncertainties. Methods In this research, we have chosen the net primary productivity (NPP) as an index for revealing grassland dynamics processes. Moreover, the human appropriation of net primary production (NPPH), which was calculated as the potential NPP (NPPP) minus the actual NPP (NPPA), was applied to distinguish the relative influences of climate change and human activities on the grassland NPP variations in a mountain basin system of Central Asia from 2001–2015. Results The results indicated that the grassland NPPA showed an increasing trend (35.88%) that was smaller than the decreasing trend (64.12%). The respective contributions of human activity, climate change and the two together to the increase in the NPPA were 6.19%, 81.30% and 12.51%, respectively. Human activity was largely responsible for the decrease in the grassland NPPA, with the area experiencing human-induced decreases accounting for 98.21% of the total decreased area, which mainly occurred during spring/autumn pasture and winter pasture. Furthermore, the average grazing pressure index (GPI) values of summer pastures, spring/autumn pasture and winter pastures were 1.04, 3.03 and 1.83, respectively, from 2001–2015. In addition, negative correlations between the NPP and GPI occupied most of the research area (92.41%). Discussion Our results indicate that: (i) anthropogenic activities were the primary cause of the reduction in the grassland NPP, especially grazing activities. (ii) For areas where the grassland NPP has increased, precipitation was the dominant climatic factor over temperature in controlling the grassland NPP changes in the study area. (iii) The findings of the current research indicate that some measures should be taken to reduce livestock pressure, and artificial grasslands can be built along the Irtysh River and the Ulungur River to relieve grazing pressure on spring/autumn pastures and winter pastures. Our results could provide reliable information for grassland management and the prevention of grassland degradation in arid regions of Central Asia.

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Attribution of the vegetation trends in a typical desertified watershed of northeast China over the past three decades

Cited by 4 publications

References 52 publications

Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015

Climate Dynamics of the Spatiotemporal Changes of Vegetation NDVI in Northern China from 1982 to 2015

Normalized Difference Vegetation Index‐based assessment of climate change impact on vegetation growth in the humid‐arid transition zone in northern China during 1982–2013

Response of grassland productivity to climate change and anthropogenic activities in arid regions of Central Asia

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