The Experts below are selected from a list of 36981 Experts worldwide ranked by ideXlab platform
Daowei Zhou - One of the best experts on this subject based on the ideXlab platform.
-
using gimms ndvi time series to estimate the impacts of Grassland Vegetation cover on surface air temperatures in the temperate Grassland region of china
Remote Sensing Letters, 2016Co-Authors: Xiangjin Shen, Binhui Liu, Daowei ZhouAbstract:AbstractExploring the impacts of Vegetation cover on regional climate is very important to assess the relationship between Vegetation and climate, and to predict regional climate change in vegetated areas. Using the time series of Global Inventory Modelling and Mapping Studies (GIMMS) normalized difference Vegetation index (NDVI), we estimated the impacts of Grassland Vegetation cover on surface air temperatures based on the observation minus reanalysis (OMR) approach. The theory of the OMR approach is that reanalysis data are not sensitive to local land surface properties, thus the changes in OMR can be attributed to land effects. The method used in this letter is that rates of change in OMR are regressed (using stepwise regression) on average NDVI and the rate of NDVI change. We applied this multiple stepwise regression analysis in the temperate Grassland region of China during the growing season from 1982 to 2005. To evaluate the accuracy of regress equations, we estimated the monthly OMR temperatures ...
-
Effect of Grassland Vegetation on diurnal temperature range in China’s temperate Grassland region
Ecological Engineering, 2016Co-Authors: Xiangjin Shen, Binhui Liu, Daowei ZhouAbstract:Abstract Based on the observation minus reanalysis (OMR) method, this study explored the impacts of Grassland Vegetation on diurnal temperature range (DTR) in China’s temperate Grassland region from 1982 to 2005. Results showed that temperate Grassland Vegetation generally tended to decrease growing-season DTR, but the degree of influence of Vegetation on DTR was different among different Grassland types. From 1982 to 2005, the decline of OMR trend in growing-season DTR was the largest for temperate meadow (−0.191 °C/decade), moderate for temperate steppe (−0.093 °C/decade) and the smallest for temperate desert steppe (−0.022 °C/decade). During the whole growing season, Grassland Vegetation has a similar warming effect on minimum air temperature (Tmin), and the differences in monthly OMR trends of DTR are mainly determined by the effects of Vegetation on maximum air temperature (Tmax). For temperate meadow and temperate steppe, there were obvious cooling effects of Vegetation on Tmax from July to September due to evaporative cooling feedback, and these cooling effects intensified with the increase of surface Vegetation greenness. For temperate desert steppe, due to low Vegetation cover and weak cooling feedback, it exerted comparable warming effects on Tmax and Tmin, thus having no significant impact on DTR change in any month.
Tao Zhang - One of the best experts on this subject based on the ideXlab platform.
-
elevation dependent relationships between climate change and Grassland Vegetation variation across the qinghai xizang plateau
International Journal of Climatology, 2015Co-Authors: Jian Tao, Yangjian Zhang, Jinwei Dong, Geli Zhang, Yanbin Jiang, Li Tian, Xianzhou Zhang, J J Zhu, Tao ZhangAbstract:As one of the most sensitive regions to climate change, the Qinghai-Xizang Plateau has been widely investigated as one unity for impacts of climate change on alpine Grassland. However, previous findings might be confounded by distinct climate sensitivities at different elevations and different regional climates between Qinghai Province and Xizang Province, which lie at the two sides of Tanggula Mountains. In this study, we explored change trends of Grassland Vegetation, temperature and precipitation in growing season from 1982 to 2011, and elevation-dependent effects of climate change on Grassland Vegetation in the two provinces separately. The plateau Grassland greenness gained improvement under climate warming and wetting during the past 30 years, especially in Qinghai Province. Temperature increased significantly with a warming magnitude of more than 1.5 degrees C over the plateau Grassland. The interannual change of precipitation showed contrary trends between the two provinces. The main climate factor driving the Grassland Vegetation variation varied between the two provinces, with temperature being the main factor in Qinghai Province and precipitation being the main factor in Xizang Province. In particular, a more significant correlation between climate change and Grassland Vegetation variation was found at higher elevations, which reveals higher climate sensitivity in higher elevation areas of the plateau.
-
Elevation‐dependent relationships between climate change and Grassland Vegetation variation across the Qinghai‐Xizang Plateau
International Journal of Climatology, 2014Co-Authors: Jian Tao, Yangjian Zhang, Jinwei Dong, Juntao Zhu, Geli Zhang, Yanbin Jiang, Li Tian, Xianzhou Zhang, Tao ZhangAbstract:As one of the most sensitive regions to climate change, the Qinghai-Xizang Plateau has been widely investigated as one unity for impacts of climate change on alpine Grassland. However, previous findings might be confounded by distinct climate sensitivities at different elevations and different regional climates between Qinghai Province and Xizang Province, which lie at the two sides of Tanggula Mountains. In this study, we explored change trends of Grassland Vegetation, temperature and precipitation in growing season from 1982 to 2011, and elevation-dependent effects of climate change on Grassland Vegetation in the two provinces separately. The plateau Grassland greenness gained improvement under climate warming and wetting during the past 30 years, especially in Qinghai Province. Temperature increased significantly with a warming magnitude of more than 1.5 degrees C over the plateau Grassland. The interannual change of precipitation showed contrary trends between the two provinces. The main climate factor driving the Grassland Vegetation variation varied between the two provinces, with temperature being the main factor in Qinghai Province and precipitation being the main factor in Xizang Province. In particular, a more significant correlation between climate change and Grassland Vegetation variation was found at higher elevations, which reveals higher climate sensitivity in higher elevation areas of the plateau.
Geli Zhang - One of the best experts on this subject based on the ideXlab platform.
-
elevation dependent relationships between climate change and Grassland Vegetation variation across the qinghai xizang plateau
International Journal of Climatology, 2015Co-Authors: Jian Tao, Yangjian Zhang, Jinwei Dong, Geli Zhang, Yanbin Jiang, Li Tian, Xianzhou Zhang, J J Zhu, Tao ZhangAbstract:As one of the most sensitive regions to climate change, the Qinghai-Xizang Plateau has been widely investigated as one unity for impacts of climate change on alpine Grassland. However, previous findings might be confounded by distinct climate sensitivities at different elevations and different regional climates between Qinghai Province and Xizang Province, which lie at the two sides of Tanggula Mountains. In this study, we explored change trends of Grassland Vegetation, temperature and precipitation in growing season from 1982 to 2011, and elevation-dependent effects of climate change on Grassland Vegetation in the two provinces separately. The plateau Grassland greenness gained improvement under climate warming and wetting during the past 30 years, especially in Qinghai Province. Temperature increased significantly with a warming magnitude of more than 1.5 degrees C over the plateau Grassland. The interannual change of precipitation showed contrary trends between the two provinces. The main climate factor driving the Grassland Vegetation variation varied between the two provinces, with temperature being the main factor in Qinghai Province and precipitation being the main factor in Xizang Province. In particular, a more significant correlation between climate change and Grassland Vegetation variation was found at higher elevations, which reveals higher climate sensitivity in higher elevation areas of the plateau.
-
Elevation‐dependent relationships between climate change and Grassland Vegetation variation across the Qinghai‐Xizang Plateau
International Journal of Climatology, 2014Co-Authors: Jian Tao, Yangjian Zhang, Jinwei Dong, Juntao Zhu, Geli Zhang, Yanbin Jiang, Li Tian, Xianzhou Zhang, Tao ZhangAbstract:As one of the most sensitive regions to climate change, the Qinghai-Xizang Plateau has been widely investigated as one unity for impacts of climate change on alpine Grassland. However, previous findings might be confounded by distinct climate sensitivities at different elevations and different regional climates between Qinghai Province and Xizang Province, which lie at the two sides of Tanggula Mountains. In this study, we explored change trends of Grassland Vegetation, temperature and precipitation in growing season from 1982 to 2011, and elevation-dependent effects of climate change on Grassland Vegetation in the two provinces separately. The plateau Grassland greenness gained improvement under climate warming and wetting during the past 30 years, especially in Qinghai Province. Temperature increased significantly with a warming magnitude of more than 1.5 degrees C over the plateau Grassland. The interannual change of precipitation showed contrary trends between the two provinces. The main climate factor driving the Grassland Vegetation variation varied between the two provinces, with temperature being the main factor in Qinghai Province and precipitation being the main factor in Xizang Province. In particular, a more significant correlation between climate change and Grassland Vegetation variation was found at higher elevations, which reveals higher climate sensitivity in higher elevation areas of the plateau.
Xiangjin Shen - One of the best experts on this subject based on the ideXlab platform.
-
using gimms ndvi time series to estimate the impacts of Grassland Vegetation cover on surface air temperatures in the temperate Grassland region of china
Remote Sensing Letters, 2016Co-Authors: Xiangjin Shen, Binhui Liu, Daowei ZhouAbstract:AbstractExploring the impacts of Vegetation cover on regional climate is very important to assess the relationship between Vegetation and climate, and to predict regional climate change in vegetated areas. Using the time series of Global Inventory Modelling and Mapping Studies (GIMMS) normalized difference Vegetation index (NDVI), we estimated the impacts of Grassland Vegetation cover on surface air temperatures based on the observation minus reanalysis (OMR) approach. The theory of the OMR approach is that reanalysis data are not sensitive to local land surface properties, thus the changes in OMR can be attributed to land effects. The method used in this letter is that rates of change in OMR are regressed (using stepwise regression) on average NDVI and the rate of NDVI change. We applied this multiple stepwise regression analysis in the temperate Grassland region of China during the growing season from 1982 to 2005. To evaluate the accuracy of regress equations, we estimated the monthly OMR temperatures ...
-
Effect of Grassland Vegetation on diurnal temperature range in China’s temperate Grassland region
Ecological Engineering, 2016Co-Authors: Xiangjin Shen, Binhui Liu, Daowei ZhouAbstract:Abstract Based on the observation minus reanalysis (OMR) method, this study explored the impacts of Grassland Vegetation on diurnal temperature range (DTR) in China’s temperate Grassland region from 1982 to 2005. Results showed that temperate Grassland Vegetation generally tended to decrease growing-season DTR, but the degree of influence of Vegetation on DTR was different among different Grassland types. From 1982 to 2005, the decline of OMR trend in growing-season DTR was the largest for temperate meadow (−0.191 °C/decade), moderate for temperate steppe (−0.093 °C/decade) and the smallest for temperate desert steppe (−0.022 °C/decade). During the whole growing season, Grassland Vegetation has a similar warming effect on minimum air temperature (Tmin), and the differences in monthly OMR trends of DTR are mainly determined by the effects of Vegetation on maximum air temperature (Tmax). For temperate meadow and temperate steppe, there were obvious cooling effects of Vegetation on Tmax from July to September due to evaporative cooling feedback, and these cooling effects intensified with the increase of surface Vegetation greenness. For temperate desert steppe, due to low Vegetation cover and weak cooling feedback, it exerted comparable warming effects on Tmax and Tmin, thus having no significant impact on DTR change in any month.
Jian Tao - One of the best experts on this subject based on the ideXlab platform.
-
elevation dependent relationships between climate change and Grassland Vegetation variation across the qinghai xizang plateau
International Journal of Climatology, 2015Co-Authors: Jian Tao, Yangjian Zhang, Jinwei Dong, Geli Zhang, Yanbin Jiang, Li Tian, Xianzhou Zhang, J J Zhu, Tao ZhangAbstract:As one of the most sensitive regions to climate change, the Qinghai-Xizang Plateau has been widely investigated as one unity for impacts of climate change on alpine Grassland. However, previous findings might be confounded by distinct climate sensitivities at different elevations and different regional climates between Qinghai Province and Xizang Province, which lie at the two sides of Tanggula Mountains. In this study, we explored change trends of Grassland Vegetation, temperature and precipitation in growing season from 1982 to 2011, and elevation-dependent effects of climate change on Grassland Vegetation in the two provinces separately. The plateau Grassland greenness gained improvement under climate warming and wetting during the past 30 years, especially in Qinghai Province. Temperature increased significantly with a warming magnitude of more than 1.5 degrees C over the plateau Grassland. The interannual change of precipitation showed contrary trends between the two provinces. The main climate factor driving the Grassland Vegetation variation varied between the two provinces, with temperature being the main factor in Qinghai Province and precipitation being the main factor in Xizang Province. In particular, a more significant correlation between climate change and Grassland Vegetation variation was found at higher elevations, which reveals higher climate sensitivity in higher elevation areas of the plateau.
-
Elevation‐dependent relationships between climate change and Grassland Vegetation variation across the Qinghai‐Xizang Plateau
International Journal of Climatology, 2014Co-Authors: Jian Tao, Yangjian Zhang, Jinwei Dong, Juntao Zhu, Geli Zhang, Yanbin Jiang, Li Tian, Xianzhou Zhang, Tao ZhangAbstract:As one of the most sensitive regions to climate change, the Qinghai-Xizang Plateau has been widely investigated as one unity for impacts of climate change on alpine Grassland. However, previous findings might be confounded by distinct climate sensitivities at different elevations and different regional climates between Qinghai Province and Xizang Province, which lie at the two sides of Tanggula Mountains. In this study, we explored change trends of Grassland Vegetation, temperature and precipitation in growing season from 1982 to 2011, and elevation-dependent effects of climate change on Grassland Vegetation in the two provinces separately. The plateau Grassland greenness gained improvement under climate warming and wetting during the past 30 years, especially in Qinghai Province. Temperature increased significantly with a warming magnitude of more than 1.5 degrees C over the plateau Grassland. The interannual change of precipitation showed contrary trends between the two provinces. The main climate factor driving the Grassland Vegetation variation varied between the two provinces, with temperature being the main factor in Qinghai Province and precipitation being the main factor in Xizang Province. In particular, a more significant correlation between climate change and Grassland Vegetation variation was found at higher elevations, which reveals higher climate sensitivity in higher elevation areas of the plateau.
