首页> 外文学位 >Remote sensing and ecosystem simulation modeling of the intermountain sagebrush-steppe, with implications for global climate change.
【24h】

Remote sensing and ecosystem simulation modeling of the intermountain sagebrush-steppe, with implications for global climate change.

机译:山间鼠尾草草原的遥感和生态系统模拟模型,对全球气候变化具有影响。

获取原文
获取原文并翻译 | 示例

摘要

Three papers are presented that focus on remote sensing and ecosystem simulation modeling of the Intermountain Northwest sagebrush-steppe ecosystem. The first utilizes Advanced Very High Resolution Radiometer data to derive seasonal greenness indices of three predominant vegetation communities in south-central Washington, U.S.A. Temporal signatures were statistically separated, and used to create a supervised classification for the three communities by integrating Normalized Difference Vegetation Indices over the growing season. The integrated classification scheme accuracy was 75% when compared to 53 ground-truthed sites, but was less accurate (62%) when applied to a more topographically variable region.; The second paper develops a logic for treating the intermountain sagebrush-steppe as a mosaic of distinct, hydrologically partitioned vegetation communities, and identifies some critical ecophysiological considerations for process modeling of arid ecosystems. Soil water and nutrient dynamics of an ecosystem process model were modified to simulate productivity and seasonal water use patterns in Artemisia, Agropyron, and Bromus communities for the same south-central Washington study site. 60 year simulations maintained steady state vegetation productivity while predicting soil moisture content for 56 dates in 1992 with R{dollar}sp2{dollar} values ranging from 0.93 to 0.98.; In the third paper, the model was used to derive projections of the response of the ecosystem to natural and general circulation model (GCM)-predicted climate variability. Simulations predicted the adaptability of a less productive, invasive grass community (Bromus) to climate change, while a native sagebrush (Artemisia) community does not survive the increased temperatures of the GCM climates. High humidity deficits and greater maintenance respiration costs associated with increased temperatures limit the ability of the sagebrush community to support a relatively high biomass, and substantial increases in soil water storage and subsurface outflow occur as the vegetation senesces.
机译:提出了三篇论文,重点研究了西北山间鼠尾草-草原生态系统的遥感和生态系统模拟模型。第一个利用先进的超高分辨率辐射计数据推导美国华盛顿州中南部三个主要植被群落的季节性绿色指数,对时间特征进行统计分离,并通过将标准化差异植被指数与生长季节。与53个地面实地站点相比,综合分类方案的准确性为75%,但在地形变化较大的区域中,准确性较低(62%)。第二篇论文提出了一种将山间鼠尾草草原视为不同的,按水文划分的植被群落的马赛克的逻辑,并确定了干旱生态系统过程建模的一些重要生态生理因素。修改了生态系统过程模型的土壤水分和养分动力学,以模拟华盛顿州中南部同一研究地点的蒿,Agropyron和Bromus社区的生产力和季节性用水模式。 60年的模拟保持了稳态植被的生产力,同时预测了1992年的56个日期的土壤含水量,R {dol} sp2 {dol}的值范围为0.93至0.98。在第三篇论文中,该模型用于推导生态系统对自然和一般循环模型(GCM)预测的气候变化的响应的预测。模拟预测了生产力较低的侵入性草丛群落(Bromus)对气候变化的适应能力,而本地的鼠尾草(Artemisia)群落无法在GCM气候升高的温度下生存。与温度升高相关的高湿度不足和更高的维护呼吸成本限制了鼠尾草群落支持相对较高生物量的能力,并且随着植被的衰落,土壤水的蓄积和地下流出量大大增加。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号