Guizhou Province is an important karst area in the world and a fragile ecological area in China. Ecological risk assessment is very necessary to be conducted in this region. This study investigates different character...Guizhou Province is an important karst area in the world and a fragile ecological area in China. Ecological risk assessment is very necessary to be conducted in this region. This study investigates different characteristics of the spatial-temporal changes of vegetation cover in Guizhou Province of Southern China using the data set of SPOT VEGETATION(1999–2015) at spatial resolution of 1-km and temporal resolution of 10-day. The coefficient of variation, the Theil-Sen median trend analysis, and the Mann-Kendall test are used to investigate the spatial-temporal change of vegetation cover and its future trend. Results show that: 1) the spatial distribution pattern of vegetation cover in Guizhou Plateau is high in the east whereas low in the west. The average annual normalized difference vegetation index(NDVI) from west to east is higher than that from south to north. 2) Average annual NDVI improved obviously in the past 17 years. The growth rate of average annual NDVI is 0.028/10 yr, which is slower than that of vegetation in the country(0.048/10 yr) from 1998 to 2007. Average annual NDVI in karst area is lower than that in non-karst area. However, the growing rate of average annual NDVI in karst area(0.030/10 yr) is faster than that in non-karst area(0.023/10 yr), indicating that vegetation coverage increases more rapidly in karst area. 3) Vegetation coverage in the study area is stable overall, but fluctuates in the local scales. 4) Vegetation coverage presents a continuous increasing trend. The Hurst exponent of NDVI in different vegetation types has an obvious threshold in various elevations. 5) The proportion of vegetation cover with sustainable increase is higher than that of vegetation cover with sustainable decrease. The improvement in vegetation cover may expand to most parts of the study area.展开更多
With an arid climate and shortage of water resources,the groundwater dependent ecosystems in the oasis-desert ecotone of the Shiyang River Watershed has been extremely damaged,and the water crisis in the oasis has bec...With an arid climate and shortage of water resources,the groundwater dependent ecosystems in the oasis-desert ecotone of the Shiyang River Watershed has been extremely damaged,and the water crisis in the oasis has become a major concern in the social and the scientific community.In this study,the degene-ration characteristics of the groundwater ecological function was identified and comprehensive evaluated,based on groundwater depth data,vegetation quadrat and normalized difference vegetation index(NDVI)from Landsat program.The results showed that(1)the suitable groundwater depth for sustainable ecology in the Shiyang River Watershed is about 2-4 m;(2)the terms of degenerative,qualitative and disastrous stages of the groundwater ecological function are defined with the groundwater depths of about 5 m,7 m and 10 m;(3)generally,the groundwater ecological function in the oasis-desert ecotone of the lower reaches of Shiyang River Watershed is weak with an area of 1397.9 km2 identified as the severe deterioration region,which accounted 74.7%of the total area.In the meantime,the percentages of the good,mild and moderate deterioration areas of groundwater ecological function are 3.5%,5.5%and 16.3%,respectively,which were mainly distributed in the Qingtu lake area and the southeastern area of the Shoucheng town;(4)the degradation and shrinkage of natural oasis could be attributed to the dramatic groundwater decline,which is generally caused by irrational use of water and soil resources.This study could provide theoretical basis and scientific support for the decision-making in environmental management and ecological restoration of the Shiyang River Watershed.展开更多
The Chinese government adopted six ecological restoration programs to improve its natural environments. Although these programs have proven successful in improving local environments, some studies have questioned thei...The Chinese government adopted six ecological restoration programs to improve its natural environments. Although these programs have proven successful in improving local environments, some studies have questioned their performance when regions suffer from drought. Whether we should consider the effects of drought on vegetation change in assessments of the benefits of ecological restoration programs is unclear. Therefore, taking the Grain for Green Program(GGP) region as a study area, we estimated vegetation growth in the region from 2000–2010 to clarify the trends in vegetation and their driving forces. Results showed that: 1) vegetation growth increased in the GGP region during 2000–2010, with 59.4% of the area showing an increase in the Normalized Difference Vegetation Index(NDVI). This confirmed the benefits of the ecological restoration program. 2) Drought can affect the vegetation change trend, but human activity plays a significant role in altering vegetation growth, and the slight downward trend in the NDVI was not consistent with the severity of the drought. Positive human activity led to increased NDVI in 89.13% of areas. Of these, 22.52% suffered drought, but positive human activity offset the damage in part. 3) Results of this research suggest that appropriate human activity can maximize the benefits of ecological restoration programs and minimize the effects of extreme weather. We therefore recommend incorporating eco-risk assessment and scientific management mechanisms in the design and management of ecosystem restoration programs.展开更多
The response of long-term vegetation changes and climate change has been a hot topic in recent research.Previously,a Landsat-based fusion model was developed and used to produce a dataset of normalized vegetation inde...The response of long-term vegetation changes and climate change has been a hot topic in recent research.Previously,a Landsat-based fusion model was developed and used to produce a dataset of normalized vegetation index(NDVI)for the Three-River Headwater region on the Qinghai-Tibet Plateau with a spatial resolution of 30 m and the time spanning the nearly 30 years from 1990 to 2018.In this study,the NDVI was applied to an analysis of the spatial and temporal changes in the alpine grassland and the impacts from climate change using the Theil-Sen Median method and linear regression.The results showed that:(1)The regional mean NDVI was 0.39and showed a spatial pattern of decreasing from the southeast to the northwest in the recent three decades.Among the three parks,the Lancang River Park had the highest NDVI(0.43),followed by the Yellow River Park(0.38)and Yangtze River Park(0.23).(2)An upward trending was found in the NDVI time series at a rate of 0.0031 yr^(-1)(R^(2)=0.62,P<0.01)over the whole period of 1990–2018.The increasing rate(0.00649 yr^(-1),R^(2)=0.71,P<0.01)in the latter period of 2005–2018 was nearly 2.3 times of that(0.00284 yr^(-1),R^(2)=0.31,P<0.01)in the previous period of1990–2005.In the latest periods,the three parks experienced rates that were 2.3 to 63 times the corresponding values in the early period.(3)The NDVI is correlated more positively with temperature than precipitation.The impacts of climate change decreased along with the coverage fraction from the higher,median and then lower levels.The climate change can explain 34%of the variability in the NDVI time series of the areas with a higher fraction of grassland coverage,while it was 31%for the median fraction and 20%for the lower fraction.This study is the first to use the 30 m NDVI dataset spanning nearly 30 years to analyze the spatial and temporal variability and climate impacts in the alpine grasslands of the Three-River Headwater region of the Qinghai-Tibet Plateau.The results provide a basis for assessments on the ecological ma展开更多
基金Under the auspices of National Key Research Program of China(No.2016YFC0502300,2016YFC0502102,2014BAB03B00)National Key Research and Development Program(No.2014BAB03B02)+3 种基金Agricultural Science and Technology Key Project of Guizhou Province of China(No.2014-3039)Science and Technology Plan Projects of Guiyang Municipal Bureau of Science and Technology of China(No.2012-205)Science and Technology Plan of Guizhou Province of China(No.2012-6015)Guangxi Natural Science Foundation of China(No.2014GXNSFBA118221)
文摘Guizhou Province is an important karst area in the world and a fragile ecological area in China. Ecological risk assessment is very necessary to be conducted in this region. This study investigates different characteristics of the spatial-temporal changes of vegetation cover in Guizhou Province of Southern China using the data set of SPOT VEGETATION(1999–2015) at spatial resolution of 1-km and temporal resolution of 10-day. The coefficient of variation, the Theil-Sen median trend analysis, and the Mann-Kendall test are used to investigate the spatial-temporal change of vegetation cover and its future trend. Results show that: 1) the spatial distribution pattern of vegetation cover in Guizhou Plateau is high in the east whereas low in the west. The average annual normalized difference vegetation index(NDVI) from west to east is higher than that from south to north. 2) Average annual NDVI improved obviously in the past 17 years. The growth rate of average annual NDVI is 0.028/10 yr, which is slower than that of vegetation in the country(0.048/10 yr) from 1998 to 2007. Average annual NDVI in karst area is lower than that in non-karst area. However, the growing rate of average annual NDVI in karst area(0.030/10 yr) is faster than that in non-karst area(0.023/10 yr), indicating that vegetation coverage increases more rapidly in karst area. 3) Vegetation coverage in the study area is stable overall, but fluctuates in the local scales. 4) Vegetation coverage presents a continuous increasing trend. The Hurst exponent of NDVI in different vegetation types has an obvious threshold in various elevations. 5) The proportion of vegetation cover with sustainable increase is higher than that of vegetation cover with sustainable decrease. The improvement in vegetation cover may expand to most parts of the study area.
基金This research was supported by the National Key Research and Development Plan of China(No.2017YFC0406103)the National Natural Science Foundation of China(No.41902262)the Geological Survey Project of China(No.DD20190349).
文摘With an arid climate and shortage of water resources,the groundwater dependent ecosystems in the oasis-desert ecotone of the Shiyang River Watershed has been extremely damaged,and the water crisis in the oasis has become a major concern in the social and the scientific community.In this study,the degene-ration characteristics of the groundwater ecological function was identified and comprehensive evaluated,based on groundwater depth data,vegetation quadrat and normalized difference vegetation index(NDVI)from Landsat program.The results showed that(1)the suitable groundwater depth for sustainable ecology in the Shiyang River Watershed is about 2-4 m;(2)the terms of degenerative,qualitative and disastrous stages of the groundwater ecological function are defined with the groundwater depths of about 5 m,7 m and 10 m;(3)generally,the groundwater ecological function in the oasis-desert ecotone of the lower reaches of Shiyang River Watershed is weak with an area of 1397.9 km2 identified as the severe deterioration region,which accounted 74.7%of the total area.In the meantime,the percentages of the good,mild and moderate deterioration areas of groundwater ecological function are 3.5%,5.5%and 16.3%,respectively,which were mainly distributed in the Qingtu lake area and the southeastern area of the Shoucheng town;(4)the degradation and shrinkage of natural oasis could be attributed to the dramatic groundwater decline,which is generally caused by irrational use of water and soil resources.This study could provide theoretical basis and scientific support for the decision-making in environmental management and ecological restoration of the Shiyang River Watershed.
基金Under the auspices of the National Key R&D Program of China(No.2017YFC0504701)Science and Technology Service Network Initiative Project of Chinese Academy of Sciences(No.KFJ-STS-ZDTP-036)+1 种基金Fundamental Research Funds for the Central Universities(No.GK201703053)China Postdoctoral Science Foundation(No.2017M623114)
文摘The Chinese government adopted six ecological restoration programs to improve its natural environments. Although these programs have proven successful in improving local environments, some studies have questioned their performance when regions suffer from drought. Whether we should consider the effects of drought on vegetation change in assessments of the benefits of ecological restoration programs is unclear. Therefore, taking the Grain for Green Program(GGP) region as a study area, we estimated vegetation growth in the region from 2000–2010 to clarify the trends in vegetation and their driving forces. Results showed that: 1) vegetation growth increased in the GGP region during 2000–2010, with 59.4% of the area showing an increase in the Normalized Difference Vegetation Index(NDVI). This confirmed the benefits of the ecological restoration program. 2) Drought can affect the vegetation change trend, but human activity plays a significant role in altering vegetation growth, and the slight downward trend in the NDVI was not consistent with the severity of the drought. Positive human activity led to increased NDVI in 89.13% of areas. Of these, 22.52% suffered drought, but positive human activity offset the damage in part. 3) Results of this research suggest that appropriate human activity can maximize the benefits of ecological restoration programs and minimize the effects of extreme weather. We therefore recommend incorporating eco-risk assessment and scientific management mechanisms in the design and management of ecosystem restoration programs.
基金The Second Tibetan Plateau Scientific Expedition and Research(STEP)Program(2019QZKK0302)The Joint Research Project of the People’s Government of Qinghai Province and Chinese Academy of Sciences(LHZX-2020-07)The National Natural Science Foundation of China(31971507)。
文摘The response of long-term vegetation changes and climate change has been a hot topic in recent research.Previously,a Landsat-based fusion model was developed and used to produce a dataset of normalized vegetation index(NDVI)for the Three-River Headwater region on the Qinghai-Tibet Plateau with a spatial resolution of 30 m and the time spanning the nearly 30 years from 1990 to 2018.In this study,the NDVI was applied to an analysis of the spatial and temporal changes in the alpine grassland and the impacts from climate change using the Theil-Sen Median method and linear regression.The results showed that:(1)The regional mean NDVI was 0.39and showed a spatial pattern of decreasing from the southeast to the northwest in the recent three decades.Among the three parks,the Lancang River Park had the highest NDVI(0.43),followed by the Yellow River Park(0.38)and Yangtze River Park(0.23).(2)An upward trending was found in the NDVI time series at a rate of 0.0031 yr^(-1)(R^(2)=0.62,P<0.01)over the whole period of 1990–2018.The increasing rate(0.00649 yr^(-1),R^(2)=0.71,P<0.01)in the latter period of 2005–2018 was nearly 2.3 times of that(0.00284 yr^(-1),R^(2)=0.31,P<0.01)in the previous period of1990–2005.In the latest periods,the three parks experienced rates that were 2.3 to 63 times the corresponding values in the early period.(3)The NDVI is correlated more positively with temperature than precipitation.The impacts of climate change decreased along with the coverage fraction from the higher,median and then lower levels.The climate change can explain 34%of the variability in the NDVI time series of the areas with a higher fraction of grassland coverage,while it was 31%for the median fraction and 20%for the lower fraction.This study is the first to use the 30 m NDVI dataset spanning nearly 30 years to analyze the spatial and temporal variability and climate impacts in the alpine grasslands of the Three-River Headwater region of the Qinghai-Tibet Plateau.The results provide a basis for assessments on the ecological ma