Academy of Disaster Reduction and Emergency Management, MOCA/MOE, Beijing Normal University, Beijing 100875, China; China Institute of Water Resources and Hydropower Research, Beijing 100044, China; Center for Drought and Risk Research, Beijing Normal University, Beijing 100875, China.
Academy of Disaster Reduction and Emergency Management, MOCA/MOE, Beijing Normal University, Beijing 100875, China; Center for Drought and Risk Research, Beijing Normal University, Beijing 100875, China.
Sci Total Environ. 2015 Dec 1;536:161-172. doi: 10.1016/j.scitotenv.2015.06.138. Epub 2015 Jul 21.
This paper presented a valuable framework for evaluating the impacts of droughts (single factor) on grassland ecosystems. This framework was defined as the quantitative magnitude of drought impact that unacceptable short-term and long-term effects on ecosystems may experience relative to the reference standard. Long-term effects on ecosystems may occur relative to the reference standard. Net primary productivity (NPP) was selected as the response indicator of drought to assess the quantitative impact of drought on Inner Mongolia grassland based on the Standardized Precipitation Index (SPI) and BIOME-BGC model. The framework consists of six main steps: 1) clearly defining drought scenarios, such as moderate, severe and extreme drought; 2) selecting an appropriate indicator of drought impact; 3) selecting an appropriate ecosystem model and verifying its capabilities, calibrating the bias and assessing the uncertainty; 4) assigning a level of unacceptable impact of drought on the indicator; 5) determining the response of the indicator to drought and normal weather state under global-change; and 6) investigating the unacceptable impact of drought at different spatial scales. We found NPP losses assessed using the new framework were more sensitive to drought and had higher precision than the long-term average method. Moreover, the total and average losses of NPP are different in different grassland types during the drought years from 1961-2009. NPP loss was significantly increased along a gradient of increasing drought levels. Meanwhile, NPP loss variation under the same drought level was different in different grassland types. The operational framework was particularly suited for integrative assessing the effects of different drought events and long-term droughts at multiple spatial scales, which provided essential insights for sciences and societies that must develop coping strategies for ecosystems for such events.
本文提出了一个评估干旱(单一因素)对草原生态系统影响的有价值的框架。该框架被定义为干旱对生态系统产生不可接受的短期和长期影响的定量程度,相对于参考标准。相对于参考标准,可能会对生态系统产生长期影响。净初级生产力(NPP)被选为干旱对生态系统的响应指标,以基于标准化降水指数(SPI)和 BIOME-BGC 模型评估干旱对内蒙古草原的定量影响。该框架由六个主要步骤组成:1)明确界定干旱情景,如中度、重度和极端干旱;2)选择干旱影响的适当指标;3)选择适当的生态系统模型并验证其能力,校准偏差并评估不确定性;4)分配干旱对指标的不可接受影响的水平;5)确定指标对干旱和全球变化下正常天气状态的响应;6)研究不同空间尺度下干旱的不可接受影响。我们发现,使用新框架评估的 NPP 损失对干旱更加敏感,并且比长期平均方法具有更高的精度。此外,在 1961-2009 年干旱年期间,不同草原类型的总 NPP 和平均 NPP 损失不同。NPP 损失随着干旱程度的增加呈梯度增加。同时,在相同的干旱水平下,不同草原类型的 NPP 损失变化不同。该操作框架特别适合综合评估不同干旱事件和长期干旱对多个空间尺度的影响,为科学和社会必须为应对此类事件制定生态系统应对策略提供了重要的见解。