The soil properties in arid ecosystems are important determinants of vegetation distribution patterns. Soil organic carbon （SOC） content, which is closely related to soil types and the holding capacities of soil wat...The soil properties in arid ecosystems are important determinants of vegetation distribution patterns. Soil organic carbon （SOC） content, which is closely related to soil types and the holding capacities of soil water and nutrients, exhibits complex variability in arid desert grasslands; thus, it is essentially an impact factor for the distri- bution pattern of desert grasslands. In the present study, an investigation was conducted to estimate the spatial pattern of SOC content in desert grasslands and the association with environmental factors in the diluvial-alluvial plains of northern Qilian Mountains. The results showed that the mean values of SOC ranged from 2.76 to 5.80 g/kg in the soil profiles, and decreased with soil depths. The coefficients of variation （CV） of the SOC were high （ranging from 48.83% to 94.67%）, which indicated a strong spatial variability. SOC in the desert grasslands of the study re- gion presented a regular spatial distribution, which increased gradually from the northwest to the southeast. The SOC distribution had a pattern linked to elevation, which may be related to the gradient of climate conditions. Soil type and plant community significantly affected the SOC. The SOC had a significant positive relationship with soil moisture （P〈0.05）; whereas, it had a more significant negative relationship with the soil bulk density （BD） （P〈0.01）. However, a number of the variations in the SOC could be explained not by the environmental factors involved in this analysis, but rather other factors （such as grazing activity and landscape）. The results provide important references for soil carbon storage estimation in this study region. In addition, the SOC association with environmental variables also provides a basis for a sustainable use of the limited grassland resources in the diluvial-alluvial plains of north- ern Qilian Mountains.展开更多
大沙鼠(Rhombomys opimus)是中亚地区典型的荒漠啮齿动物,其采食和掘洞行为造成了荒漠林和荒漠草原退化加剧,生态环境恶化。基于大沙鼠分布数据、气候、土壤和地形因子数据,采用MaxEnt模型预测大沙鼠在当前气候和温室气体低、中、高3种...大沙鼠(Rhombomys opimus)是中亚地区典型的荒漠啮齿动物,其采食和掘洞行为造成了荒漠林和荒漠草原退化加剧,生态环境恶化。基于大沙鼠分布数据、气候、土壤和地形因子数据,采用MaxEnt模型预测大沙鼠在当前气候和温室气体低、中、高3种浓度排放情景下2050年和2070年的潜在适生区,分析亚洲大陆未来气候条件下大沙鼠适生面积和分布格局的变化趋势,探讨影响大沙鼠分布的主要环境因子。结果表明:模型AUC(Area Under Curve)值达到0.9以上,预测的准确性达到“极好”。经刀切法分析(Jackknife)表明,影响大沙鼠在适生区分布最主要的环境变量为温度季节性变化的标准差、土壤基本饱和度、最干季度降水量、最暖季度降水量和土壤可交换钠盐。Rcp2.6、Rcp4.5和Rcp8.5三种气候场景下2050年高适生区面积较当前分别增长15.78%、15.10%和13.44%;Rcp2.6、Rcp4.5和Rcp8.5三种气候场景下2070年高适生区面积较当前增长8.32%、13.18%和18.18%。中国大沙鼠适生区范围内,新疆所分布的大沙鼠适生区分布范围变化较大,3种情景模式下大沙鼠的适生区位置向新疆北部扩张;甘肃适生区位置向西北部扩张;内蒙西北部和阿拉善地区大沙鼠的适生区位置向四周扩张。研究揭示了未来气候下大沙鼠高适生区范围和空间变化,并得到影响其分布的主要环境变量,对其防控具有重要意义。展开更多
For estimating the altitude-distribution pattern of carbon stocks in desert grasslands and analyzing the possible mechanism for this distribution, a detailed study was performed through a series of field vegetation su...For estimating the altitude-distribution pattern of carbon stocks in desert grasslands and analyzing the possible mechanism for this distribution, a detailed study was performed through a series of field vegetation surveys and soil samplings from 90 vegetation plots and 45 soil profiles at 9 sites of the Hexi Corridor region, Northwestern China. Aboveground, belowground, and litter-fall biomass-carbon stocks ranged from 43 to 109, 23 to 64, and 5 to 20 g/m2, with mean values of 80.82,44.91, and 12.15 g/m2, respectively. Soil-carbon stocks varied between 2.88 and 3.98 kg/m2, with a mean value of 3.43 kg/m2 in the 0–100-cm soil layer. Both biomass-and soil-carbon stocks had an increasing tendency corresponding to the altitudinal gradient. A significantly negative correlation was found between soil-carbon stock and mean annual temperature, with further better correlations between soil-and biomass-carbon stocks, and mean annual precipitation. Furthermore, soil carbon was found to be positively correlated with soil-silt and-clay content, and negatively correlated with soil bulk density and the volume percent of gravel. It can be concluded that variations in soil texture and climate condition were the key factors influencing the altitudinal pattern of carbon stocks in this desert-grassland ecosystem. Thus, by using the linear-regression functions between altitude and carbon stocks, approximately 4.18 Tg carbon were predicted from the 1,260 km2 of desert grasslands in the study area.展开更多
基金Strategic Priority Research Program of the Chinese Academy of Sciences (XDA05050406-3)National Natural Science Foundation of China (41201284 and 91125022)
文摘The soil properties in arid ecosystems are important determinants of vegetation distribution patterns. Soil organic carbon （SOC） content, which is closely related to soil types and the holding capacities of soil water and nutrients, exhibits complex variability in arid desert grasslands; thus, it is essentially an impact factor for the distri- bution pattern of desert grasslands. In the present study, an investigation was conducted to estimate the spatial pattern of SOC content in desert grasslands and the association with environmental factors in the diluvial-alluvial plains of northern Qilian Mountains. The results showed that the mean values of SOC ranged from 2.76 to 5.80 g/kg in the soil profiles, and decreased with soil depths. The coefficients of variation （CV） of the SOC were high （ranging from 48.83% to 94.67%）, which indicated a strong spatial variability. SOC in the desert grasslands of the study re- gion presented a regular spatial distribution, which increased gradually from the northwest to the southeast. The SOC distribution had a pattern linked to elevation, which may be related to the gradient of climate conditions. Soil type and plant community significantly affected the SOC. The SOC had a significant positive relationship with soil moisture （P〈0.05）; whereas, it had a more significant negative relationship with the soil bulk density （BD） （P〈0.01）. However, a number of the variations in the SOC could be explained not by the environmental factors involved in this analysis, but rather other factors （such as grazing activity and landscape）. The results provide important references for soil carbon storage estimation in this study region. In addition, the SOC association with environmental variables also provides a basis for a sustainable use of the limited grassland resources in the diluvial-alluvial plains of north- ern Qilian Mountains.
文摘大沙鼠(Rhombomys opimus)是中亚地区典型的荒漠啮齿动物,其采食和掘洞行为造成了荒漠林和荒漠草原退化加剧,生态环境恶化。基于大沙鼠分布数据、气候、土壤和地形因子数据,采用MaxEnt模型预测大沙鼠在当前气候和温室气体低、中、高3种浓度排放情景下2050年和2070年的潜在适生区,分析亚洲大陆未来气候条件下大沙鼠适生面积和分布格局的变化趋势,探讨影响大沙鼠分布的主要环境因子。结果表明:模型AUC(Area Under Curve)值达到0.9以上,预测的准确性达到“极好”。经刀切法分析(Jackknife)表明,影响大沙鼠在适生区分布最主要的环境变量为温度季节性变化的标准差、土壤基本饱和度、最干季度降水量、最暖季度降水量和土壤可交换钠盐。Rcp2.6、Rcp4.5和Rcp8.5三种气候场景下2050年高适生区面积较当前分别增长15.78%、15.10%和13.44%;Rcp2.6、Rcp4.5和Rcp8.5三种气候场景下2070年高适生区面积较当前增长8.32%、13.18%和18.18%。中国大沙鼠适生区范围内,新疆所分布的大沙鼠适生区分布范围变化较大,3种情景模式下大沙鼠的适生区位置向新疆北部扩张;甘肃适生区位置向西北部扩张;内蒙西北部和阿拉善地区大沙鼠的适生区位置向四周扩张。研究揭示了未来气候下大沙鼠高适生区范围和空间变化,并得到影响其分布的主要环境变量,对其防控具有重要意义。
基金funded by the Key Research Program of Frontier Sciences of Chinese Academy of Sciences (QYZDJ-SSW-DQC040)the National Key Research and Development Program of China (2017YFC0504306 and 2017YFC0504304)the China National Natural Science Foundation (41201284)
文摘For estimating the altitude-distribution pattern of carbon stocks in desert grasslands and analyzing the possible mechanism for this distribution, a detailed study was performed through a series of field vegetation surveys and soil samplings from 90 vegetation plots and 45 soil profiles at 9 sites of the Hexi Corridor region, Northwestern China. Aboveground, belowground, and litter-fall biomass-carbon stocks ranged from 43 to 109, 23 to 64, and 5 to 20 g/m2, with mean values of 80.82,44.91, and 12.15 g/m2, respectively. Soil-carbon stocks varied between 2.88 and 3.98 kg/m2, with a mean value of 3.43 kg/m2 in the 0–100-cm soil layer. Both biomass-and soil-carbon stocks had an increasing tendency corresponding to the altitudinal gradient. A significantly negative correlation was found between soil-carbon stock and mean annual temperature, with further better correlations between soil-and biomass-carbon stocks, and mean annual precipitation. Furthermore, soil carbon was found to be positively correlated with soil-silt and-clay content, and negatively correlated with soil bulk density and the volume percent of gravel. It can be concluded that variations in soil texture and climate condition were the key factors influencing the altitudinal pattern of carbon stocks in this desert-grassland ecosystem. Thus, by using the linear-regression functions between altitude and carbon stocks, approximately 4.18 Tg carbon were predicted from the 1,260 km2 of desert grasslands in the study area.
