Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data

Duan, Hanchen; C, Yan; Tsunekawa, Atsushi; Song, Xiaolan; Li, Sen; Xie, Jiping

doi:10.1007/s12665-011-0919-x

Cited by 135 publications

(90 citation statements)

References 11 publications

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“…6a and b), which is consistent with studies conducted before (He et al, 2015;Peng et al, 2012). This can be explained by the limited water supply in arid and semi-arid regions, and the increase of air temperature enhances transpiration and evaporation intensity (Duan et al, 2011;Mao et al, 2012). The variation of grassland M * during 2000-2013 (Fig.…”

Section: Sensitivity Of M * To Climate Factorssupporting

confidence: 88%

“…NDVI driven by climate changes varied differently between vegetation types and seasons . Duan et al (2011) illustrated that precipitation was the most important factor in affecting the temporal NDVI patterns over semi-arid and arid regions of China. Peng et al (2012) found that more than 70 % of the temporal variations in NDVI were contributed by precipitation during the growing season in typical and desert steppes in northeast China.…”

Section: Introductionmentioning

confidence: 99%

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Ecohydrological optimality in the Northeast China Transect

Cong

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. The Northeast China Transect (NECT) is one of the International Geosphere-Biosphere Program (IGBP) terrestrial transects, where there is a significant precipitation gradient from east to west, as well as a vegetation transition of forest-grassland-desert. It is remarkable to understand vegetation distribution and dynamics under climate change in this transect. We take canopy cover (M), derived from Normalized Difference Vegetation Index (NDVI), as an index to describe the properties of vegetation distribution and dynamics in the NECT. In Eagleson's ecohydrological optimality theory, the optimal canopy cover (M * ) is determined by the trade-off between water supply depending on water balance and water demand depending on canopy transpiration. We apply Eagleson's ecohydrological optimality method in the NECT based on data from 2000 to 2013 to get M * , which is compared with M from NDVI to further discuss the sensitivity of M * to vegetation properties and climate factors. The result indicates that the average M * fits the actual M well (for forest, M * = 0.822 while M = 0.826; for grassland, M * = 0.353 while M = 0.352; the correlation coefficient between M and M * is 0.81). Results of water balance also match the field-measured data in the references. The sensitivity analyses show that M * decreases with the increase of leaf area index (LAI), stem fraction and temperature, while it increases with the increase of leaf angle and precipitation amount. Eagleson's ecohydrological optimality method offers a quantitative way to understand the impacts of climate change on canopy cover and provides guidelines for ecorestoration projects.

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Section: Sensitivity Of M * To Climate Factorssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Ecohydrological optimality in the Northeast China Transect

Cong

et al. 2017

Hydrol. Earth Syst. Sci.

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“…The results also suggest that the grassland and cropland ecosystem are becoming increasingly vulnerable to drought. Many recent studies have documented a similar greening trend in Northern China since the early 1980s (Duan et al 2011;de Jong et al 2011;Fensholt et al 2012;Xu et al 2012). The results are supported by findings in this study that the Northern China has been characterized by a general increase in greenness for the period 1982-2011.…”

Section: Rndvi Versus Climatic Data Anomaly Slope Trend Analysissupporting

confidence: 90%

“…5a, 6a). Several previous studies have shown a positive relationship between RNDVI and precipitation (Helldén and Tottrup 2008;Duan et al 2011;Mu et al 2012;Bayramov et al 2012). The spatial correlation map and histogram between RNDVI and temperature are shown in Figs.…”

Section: Consistency Testmentioning

confidence: 86%

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Characterizing land condition variability in Northern China from 1982 to 2011

Gao

2013

Environ Earth Sci

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For the last three decades, Northern China has been considered as one of the most sensitive areas regarding global environmental change. The integration of AVHRR GIMMS and MODIS NDVI data (1982-2011), of which for the overlapping period of 2000-2006 show good consistency, were used for characterizing land condition variability. The trends of standardized annually RNDVI, temperature, precipitation and PDSI were obtained using a linear regression model. The results showed that Northern China has a general increase in greenness for the period 1982-2011 (a = 0.05). Also, annually RNDVI is significantly correlated with temperature and precipitation data at the regional scale (p \ 0.05), implying that temperature and precipitation are the dominant limiting factors for vegetation growth. Since the greening is not uniform, factors other than temperature and precipitation may contribute to greening in some areas, while the grassland and cropland ecosystem are becoming increasingly vulnerable to drought. The results of trend analysis indicate that greenness seems to be evident in most of the study areas.

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Improved vegetation greenness increases summer atmospheric water vapor over Northern China

Jiang

Liang

2013

JGR Atmospheres

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[1] Northern China is an environmentally vulnerable region with a severe water shortage. Several ecological restoration projects since the 1980s have greatly increased vegetation greenness. This study aims to assess the impacts of the changes in vegetation greenness from 1982 to 2008 on the atmospheric precipitable water (PW) over northern China during the summer seasons (June, July, and August) using reanalysis PW and satellite vegetation index data. Several statistical methods, such as linear regression (piecewise, stepwise), the Empirical Orthogonal Function, Pearson's correlation, have been used to explore the variations in and the coupling between vegetation greenness and PW. The influences of three major atmospheric circulations (the East Asian summer monsoon, the South Asian summer monsoon, and the Westerly circulation) have also been considered and excluded. The results show that summer vegetation greenness within the semi-arid western part of northern China, including the Tibetan Plateau, is closely linked to summer PW after excluding the influences of atmospheric circulations and that vegetation accounts for as much as 30% of the total PW variance. Vegetation greenness in the central and western water-limited regions of northern China has significant (>90% confidence level) positive impacts on summer PW. After investigating the relationships among evapotranspiration (ET), PW, and precipitation, it was concluded that strengthened ET driven by increased vegetation greenness makes a major contribution to increased PW. Different from the earlier hypothesis in the literature "only intact contiguous cover of natural forest having extensive borders with larger water bodies is able to keep land moisten up to an optimal for life level everywhere on land," this study found that interior forest covered regions with adequate water supply can also provide an ET benefit of PW for other regions. This study demonstrates the implications of large-scale ecological restoration projects on the hydrological cycle in arid/semi-arid regions.

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Assessing vegetation dynamics in the Three-North Shelter Forest region of China using AVHRR NDVI data

Cited by 135 publications

References 11 publications

Ecohydrological optimality in the Northeast China Transect

Ecohydrological optimality in the Northeast China Transect

Characterizing land condition variability in Northern China from 1982 to 2011

Improved vegetation greenness increases summer atmospheric water vapor over Northern China

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