The grassland in the Hindu Kush Himalayan(HKH) region is one of the large st and most biodiverse mountain grassland types in the world,and its ecosystem service functions have profound impacts on the sustainable devel...The grassland in the Hindu Kush Himalayan(HKH) region is one of the large st and most biodiverse mountain grassland types in the world,and its ecosystem service functions have profound impacts on the sustainable development of the HKH region.Monitoring the spatiotemporal distribution of grassland aboveground biomass(AGB) accurately and quantifying its response to climate change are indispensable sources of information for sustainably managing grassland ecosystems in the HKH region.In this study,a pure vegetation index model(PVIM) was applied to estimate the long-term dynamics of grassland AGB in the HKH region during 2000-2018.We further quantified the response of grassland AGB to climate change(temperature and precipitation) by partial correlation and variance partitioning analyses and then compared their differences with elevation.Our results demonstrated that the grassland AGB predicted by the PVIM had a good linear relationship with the ground sampling data.The grassland AGB distribution pattern showed a decreasing trend from east to west across the HKH region except in the southern Himalayas.From 2000 to 2018,the mean AGB of the HKH region increased at a rate of 1.57 g/(m~2·yr) and ranged from 252.9(2000) to 307.8 g/m~2(2018).AGB had a positive correlation with precipitation in more than 80% of the grassland,and temperature was positively correlated with AGB in approximately half of the region.The change in grassland AGB was more responsive to the cumulative effect of annual precipitation,while it was more sensitive to the change in temperature in the growing season;in addition,the influence of climate varied at different elevations.Moreover,compared with that of temperature,the contribution of precipitation to grassland AGB change was greater in approximately 60% of the grassland,but the differences in the contribution for each climate factor were small between the two temporal scales at elevations over 2000 m.An accurate assessment of the temporal and spatial distributions of grassland AGB and the quantification of its response to climate change are of great significance for grassland management and sustainable development in the HKH region.展开更多
Taking natural grassland on the northern slope of the Qilian Mountain for example, this paper investigated and compared aboveground and belowground biomass of grassland in multi-year enclosure(20 years), one-year encl...Taking natural grassland on the northern slope of the Qilian Mountain for example, this paper investigated and compared aboveground and belowground biomass of grassland in multi-year enclosure(20 years), one-year enclosure, control areas(natural grazing areas). The results showed that coverage and height of the enclosure sample plots were significantly higher than that of natural grazing area(P <0.05); mean aboveground biomass of grassland: multi-year enclosure(316.58 g/m^2) > one-year enclosure area(299.07 g/m^2) > multi-year enclosure control area(254.39 g/m^2) > one-year enclosure control area(187.37 g/m^2); belowground biomass: multi-year enclosure(2,906.90 g/m^2) > one-year enclosure area(2,587.26 g/m^2) > multi-year enclosure control area(2,378.93 g/m^2) > one-year enclosure control area(2,029.17 g/m^2); mean aboveground biomass of natural grassland was 263.60 g/m^2, mean belowground biomass 2,225.56 g/m^2; ratio of belowground biomass to aboveground biomass varied between 6.79 and 12.90, distribution of belowground biomass and aboveground biomass in each plot showed significant differences(P <0.05). Enclosure was favorable for improving the coverage and biomass of natural grassland plant communities in the Qilian Mountains.展开更多
Artificial planting is an important measure to promote the restoration of degraded grassland and protect the ecological environment. The objectives of the current study were to investigate the allocation pattern betwe...Artificial planting is an important measure to promote the restoration of degraded grassland and protect the ecological environment. The objectives of the current study were to investigate the allocation pattern between aboveground biomass(AGB) and belowground biomass(BGB) in different seeding types of artificially-planted pastures. We explored the variation in biomass and the relationship between above-and belowground biomass in four artificiallyplanted pastures with one species from Elymus nutans Griseb(EN, perennial), Elymus sibiricus Linn(ES, perennial), Medicago sativa Linn(MS, perennial), and Avena sativa Linn(AS, annual) and in six artificially-planted communities with mixtures of two species by seeding ratio 1:1 from the abovementioned grasses(EN + AS, MS + AS, EN + ES, MS + EN, MS + ES, AS + ES) in 2015 and 2016. The results showed that E. nutans is the most productive species with the highest biomass production among the single crops. MS + ES was the most productive group in 2015, while the group with the highest biomass production changed to AS + ES in 2016. AGB was positively correlated to BGB in the surface soil layer in the first year, but positively related to BGB in the subsoil layer in the second year. In the early stageof artificial grassland succession, plants allocated more biomass to aboveground parts, with a root to shoot(R/S) ratio of 1.98. The slope of the log-log relationship between AGB and BGB was 1.07 in 2016, which is consistent with the isometric theory. Different sowing patterns strongly affected the accumulation and allocation of biomass in artificiallyplanted grassland, E. sibiricus was the suitable plant in the alpine regions, which will be conducive to understanding vegetation restoration and plant interactions in the future.展开更多
植被生物量是全球碳循环的重要组成部分,是陆地生态系统与大气之间碳交换的重要环节,是定量研究全球气候变化与草地、荒漠生态系统之间的反馈调节作用等的基础。中国干旱半干旱区的草地、荒漠生态系统是重要的碳库类型,本文选取中国生...植被生物量是全球碳循环的重要组成部分,是陆地生态系统与大气之间碳交换的重要环节,是定量研究全球气候变化与草地、荒漠生态系统之间的反馈调节作用等的基础。中国干旱半干旱区的草地、荒漠生态系统是重要的碳库类型,本文选取中国生态系统研究网络(Chinese Ecosystem Research Network,CERN)中位于中国干旱半干旱区的2个草地生态系统观测研究站(海北站、内蒙古站)和5个荒漠生态系统类型观测研究站(鄂尔多斯站、阜康站、临泽站、奈曼站、沙坡头站)的典型生态系统,对其按照CERN生态系统长期观测规范开展长期观测获取的植被地上生物量的2005–2020年间生长季的月动态实测数据进行了收集整理与质量控制,并开展了样方原始调查数据到样地尺度观测数据的统计计算,生成了植被地上生物量数据集,可为中国干旱半干旱区草地和荒漠生态系统对全球气候变化响应及植被保育与可持续发展等研究提供地面观测数据支撑。展开更多
【目的】对天然草地地上生物量进行快速、高效及无损伤估算。【方法】本研究利用无人机对青藏高原高寒草原及高寒草甸2种不同类型的天然草地进行航拍调查,通过构建无人机可见光波段差异性植被指数(VDVI,Visible Band Difference Vegetat...【目的】对天然草地地上生物量进行快速、高效及无损伤估算。【方法】本研究利用无人机对青藏高原高寒草原及高寒草甸2种不同类型的天然草地进行航拍调查,通过构建无人机可见光波段差异性植被指数(VDVI,Visible Band Difference Vegetation Index),分析VDVI与不同草地类型地上生物量之间的关系并对研究区地上生物量进行无人机遥感估算。【结果】VDVI指数与两种草地类型地上生物量均具有较高的相关性,高寒草原地上生物量估算精度达到70.68%,最优估产模型为y=-17070x2+2120.4x+4.9506;高寒草甸地上生物量估算精度达到80.76%,最优估产模型为y=332.15x2+39.712x+14.638。【结论】小型可见光无人机结合VDVI指数被证明可用于高寒草原和高寒草甸生物量快速无损估算,可为高寒草地高效估产提供实用帮助。展开更多
基金Under the auspices of the Strategic Priority Research Program of the Chinese Academy of Sciences (No.XDA19030202)National Key Research and Development Program of China (No. 2020YFE0200800)+1 种基金International Cooperation and Exchange of National Natural Science Foundation of China (No. 31761143018)National Natural Science Foundation of China (No.42071344)。
文摘The grassland in the Hindu Kush Himalayan(HKH) region is one of the large st and most biodiverse mountain grassland types in the world,and its ecosystem service functions have profound impacts on the sustainable development of the HKH region.Monitoring the spatiotemporal distribution of grassland aboveground biomass(AGB) accurately and quantifying its response to climate change are indispensable sources of information for sustainably managing grassland ecosystems in the HKH region.In this study,a pure vegetation index model(PVIM) was applied to estimate the long-term dynamics of grassland AGB in the HKH region during 2000-2018.We further quantified the response of grassland AGB to climate change(temperature and precipitation) by partial correlation and variance partitioning analyses and then compared their differences with elevation.Our results demonstrated that the grassland AGB predicted by the PVIM had a good linear relationship with the ground sampling data.The grassland AGB distribution pattern showed a decreasing trend from east to west across the HKH region except in the southern Himalayas.From 2000 to 2018,the mean AGB of the HKH region increased at a rate of 1.57 g/(m~2·yr) and ranged from 252.9(2000) to 307.8 g/m~2(2018).AGB had a positive correlation with precipitation in more than 80% of the grassland,and temperature was positively correlated with AGB in approximately half of the region.The change in grassland AGB was more responsive to the cumulative effect of annual precipitation,while it was more sensitive to the change in temperature in the growing season;in addition,the influence of climate varied at different elevations.Moreover,compared with that of temperature,the contribution of precipitation to grassland AGB change was greater in approximately 60% of the grassland,but the differences in the contribution for each climate factor were small between the two temporal scales at elevations over 2000 m.An accurate assessment of the temporal and spatial distributions of grassland AGB and the quantification of its response to climate change are of great significance for grassland management and sustainable development in the HKH region.
基金Sponsored by National Natural Science Foundation of China(31360201,91225301,91425301)
文摘Taking natural grassland on the northern slope of the Qilian Mountain for example, this paper investigated and compared aboveground and belowground biomass of grassland in multi-year enclosure(20 years), one-year enclosure, control areas(natural grazing areas). The results showed that coverage and height of the enclosure sample plots were significantly higher than that of natural grazing area(P <0.05); mean aboveground biomass of grassland: multi-year enclosure(316.58 g/m^2) > one-year enclosure area(299.07 g/m^2) > multi-year enclosure control area(254.39 g/m^2) > one-year enclosure control area(187.37 g/m^2); belowground biomass: multi-year enclosure(2,906.90 g/m^2) > one-year enclosure area(2,587.26 g/m^2) > multi-year enclosure control area(2,378.93 g/m^2) > one-year enclosure control area(2,029.17 g/m^2); mean aboveground biomass of natural grassland was 263.60 g/m^2, mean belowground biomass 2,225.56 g/m^2; ratio of belowground biomass to aboveground biomass varied between 6.79 and 12.90, distribution of belowground biomass and aboveground biomass in each plot showed significant differences(P <0.05). Enclosure was favorable for improving the coverage and biomass of natural grassland plant communities in the Qilian Mountains.
基金supported by China Huaneng group technology project(Grant No.HNKJ14-H17)
文摘Artificial planting is an important measure to promote the restoration of degraded grassland and protect the ecological environment. The objectives of the current study were to investigate the allocation pattern between aboveground biomass(AGB) and belowground biomass(BGB) in different seeding types of artificially-planted pastures. We explored the variation in biomass and the relationship between above-and belowground biomass in four artificiallyplanted pastures with one species from Elymus nutans Griseb(EN, perennial), Elymus sibiricus Linn(ES, perennial), Medicago sativa Linn(MS, perennial), and Avena sativa Linn(AS, annual) and in six artificially-planted communities with mixtures of two species by seeding ratio 1:1 from the abovementioned grasses(EN + AS, MS + AS, EN + ES, MS + EN, MS + ES, AS + ES) in 2015 and 2016. The results showed that E. nutans is the most productive species with the highest biomass production among the single crops. MS + ES was the most productive group in 2015, while the group with the highest biomass production changed to AS + ES in 2016. AGB was positively correlated to BGB in the surface soil layer in the first year, but positively related to BGB in the subsoil layer in the second year. In the early stageof artificial grassland succession, plants allocated more biomass to aboveground parts, with a root to shoot(R/S) ratio of 1.98. The slope of the log-log relationship between AGB and BGB was 1.07 in 2016, which is consistent with the isometric theory. Different sowing patterns strongly affected the accumulation and allocation of biomass in artificiallyplanted grassland, E. sibiricus was the suitable plant in the alpine regions, which will be conducive to understanding vegetation restoration and plant interactions in the future.
文摘植被生物量是全球碳循环的重要组成部分,是陆地生态系统与大气之间碳交换的重要环节,是定量研究全球气候变化与草地、荒漠生态系统之间的反馈调节作用等的基础。中国干旱半干旱区的草地、荒漠生态系统是重要的碳库类型,本文选取中国生态系统研究网络(Chinese Ecosystem Research Network,CERN)中位于中国干旱半干旱区的2个草地生态系统观测研究站(海北站、内蒙古站)和5个荒漠生态系统类型观测研究站(鄂尔多斯站、阜康站、临泽站、奈曼站、沙坡头站)的典型生态系统,对其按照CERN生态系统长期观测规范开展长期观测获取的植被地上生物量的2005–2020年间生长季的月动态实测数据进行了收集整理与质量控制,并开展了样方原始调查数据到样地尺度观测数据的统计计算,生成了植被地上生物量数据集,可为中国干旱半干旱区草地和荒漠生态系统对全球气候变化响应及植被保育与可持续发展等研究提供地面观测数据支撑。
文摘【目的】对天然草地地上生物量进行快速、高效及无损伤估算。【方法】本研究利用无人机对青藏高原高寒草原及高寒草甸2种不同类型的天然草地进行航拍调查,通过构建无人机可见光波段差异性植被指数(VDVI,Visible Band Difference Vegetation Index),分析VDVI与不同草地类型地上生物量之间的关系并对研究区地上生物量进行无人机遥感估算。【结果】VDVI指数与两种草地类型地上生物量均具有较高的相关性,高寒草原地上生物量估算精度达到70.68%,最优估产模型为y=-17070x2+2120.4x+4.9506;高寒草甸地上生物量估算精度达到80.76%,最优估产模型为y=332.15x2+39.712x+14.638。【结论】小型可见光无人机结合VDVI指数被证明可用于高寒草原和高寒草甸生物量快速无损估算,可为高寒草地高效估产提供实用帮助。
