Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China

Kawamura, Kensuke; Akiyama, Tsuyoshi; Yokota, Hiro-omi; Tsutsumi, Michio; Yasuda, Taisuke; Watanabe, Osamu; Wang, Shiping

doi:10.1016/j.agee.2004.09.008

Cited by 175 publications

(109 citation statements)

References 18 publications

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“…Monitoring landscapes through satellite-derived vegetation indices (VIs), such as the normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI), is a successful method for assessing vegetation conditions and phenology (Glenn et al, 2008;Zucca et al, 2015). Previous studies suggested that time series satellite data can reliably detect the phenology, forage quantity, and quality of grassland areas using the VIs derived from Advanced Very High Resolution Radiometer (AVHRR) data and Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images (Kawamura et al, , 2005a. Significant delays in the vegetation green-up during 1982-1991 in the desert steppe and in part of the typical steppe of Inner Mongolia were detected using AVHRR NDVI (Yu et al, 2003).…”

Section: Z Gong Et Al: Modis Ndvi and Vegetation Phenology Dynamicsmentioning

confidence: 99%

“…China's vast grassland has also suffered from land degradation, mainly in the northern and western cold areas over long periods (Chen and Tang, 2005;Li et al, 2014;Wang et al, 2013). The Inner Mongolia Autonomous Region (IMAR), which is located along the northern border of China, is 68 % grassland (Kawamura et al, 2005a). Typical and meadow steppes, which are mainly used for grazing and animal husbandry, are the primary grassland ecosystems found in the IMAR (Kang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

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MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland

et al. 2015

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Abstract. The Inner Mongolia grassland, one of the most important grazing regions in China, has long been threatened by land degradation and desertification, mainly due to overgrazing. To understand vegetation responses over the last decade, this study evaluated trends in vegetation cover and phenology dynamics in the Inner Mongolia grassland by applying a normalized difference vegetation index (NDVI) time series obtained by the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) during 2002-2014. The results showed that the cumulative annual NDVI increased to over 77.10 % in the permanent grassland region (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014). The mean value of the total change showed that the start of season (SOS) date and the peak vegetation productivity date of the season (POS) had advanced by 5.79 and 2.43 days, respectively. The end of season (EOS) was delayed by 5.07 days. These changes lengthened the season by 10.86 days. Our results also confirmed that grassland changes are closely related to spring precipitation and increasing temperature at the early growing period because of global warming. Overall, productivity in the Inner Mongolia Autonomous Region tends to increase, but in some grassland areas with grazing, land degradation is ongoing.

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Section: Z Gong Et Al: Modis Ndvi and Vegetation Phenology Dynamicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland

et al. 2015

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“…Topographically, the area is dominated by plateaus with the Ordos, Xilingole and Hulun Buir plateaus arrayed from the southwest to the northeast. Grassland covers about 70% of the area but most is sparsely vegetated [38,39], with desert steppe, typical steppe and meadow steppe being the primary types [40]. …”

Section: Study Areamentioning

confidence: 99%

Improving Estimates of Grassland Fractional Vegetation Cover Based on a Pixel Dichotomy Model: A Case Study in Inner Mongolia, China

Wei

Zeng

et al. 2014

Remote Sensing

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Abstract:Linear spectral mixture analysis (SMA) is commonly used to infer fractional vegetation cover (FVC), especially for pixel dichotomy models. However, several sources of uncertainty including normalized difference vegetation index (NDVI) saturation and selection of endmembers inhibit the effectiveness of SMA for the estimation of FVC. In this study, Moderate-resolution Imaging Spectroradiometer (MODIS) and Landsat 8/Operational Land Imager (OLI) remote sensing data for the early growing season and in situ measurement of spectral reflectance are used to determine the value of endmembers including VI soil and VI veg , with equally weighted RVI and NDVI measures used in combination to minimize the inherent biases in pure NDVI-based FVC. Their ability to improve estimates of grassland FVC is analyzed at different resolutions. These are shown to improve FVC estimates over NDVI-based SMA models using fixed values for the endmembers. Grassland FVC changes for Inner Mongolia, China from 2000 to 2013 are then monitored using the MODIS data. The results show that changes in most grassland areas are not significant, but in parts of Hulunbeier, south Tongliao, middle Xilin Gol and Erdos, grassland FVC has increased significantly.

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“…Typical steppe in eastern Inner Mongolia is one of the most representative and best preserved steppe ecosystems in China [18] and is also one of the largest remaining typical grassland ecosystems in the world [14]. Wild forage plants form an important component of the biodiversity of typical steppe.…”

Section: Introductionmentioning

confidence: 99%

Arbuscular mycorrhizal fungi associated with wild forage plants in typical steppe of eastern Inner Mongolia

Tian

Gai

Zhang

et al. 2009

European Journal of Soil Biology

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Quantifying grazing intensities using geographic information systems and satellite remote sensing in the Xilingol steppe region, Inner Mongolia, China

Cited by 175 publications

References 18 publications

MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland

MODIS normalized difference vegetation index (NDVI) and vegetation phenology dynamics in the Inner Mongolia grassland

Improving Estimates of Grassland Fractional Vegetation Cover Based on a Pixel Dichotomy Model: A Case Study in Inner Mongolia, China

Arbuscular mycorrhizal fungi associated with wild forage plants in typical steppe of eastern Inner Mongolia

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