• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Physiological control of transpiration and scaling evapotranspiration at the Bosque del Apache, a riparian forest.
【24h】

Physiological control of transpiration and scaling evapotranspiration at the Bosque del Apache, a riparian forest.

机译：沿岸森林博斯克德尔阿帕奇（Bosque del Apache）的蒸腾和结垢蒸发蒸腾的生理控制。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Evapotranspiration (ET) by riparian species has become a matter of interest for ecologists and water managers at the Middle Rio Grande. As a multidisciplinary project, several methods to estimate this important and uncertain component of the hydrologic budget have been tested at different sites along that region. Together with three micrometeorological methods to estimate ET at the stand level, a biophysical model to predict ET has been tested at the Bosque del Apache, near Socorro, New Mexico. Our overall interest was to develop a mechanistic model of transpiration ( E) and assimilation (A) capable of being scaled up from the leaf to the stand scale, and transferred among species and sites. Therefore, it was necessary to establish the physiological and ecological mechanisms and patterns controlling the fluxes of water and CO2 at each scale. The second chapter addresses this need by testing that our experimental data on stomatal conductance and CO2 assimilation can be fitted to a complete model of stomatal control. Our model captures the main physiological mechanism of control at the leaf scale. The third chapter presents tests of our ability to model light distribution on leaves as an important environmental factor controlling the fluxes at the branch to tree scales. The last chapter describes the whole model and presents an evaluation of its performance by comparing measured and predicted fluxes at the tree and stand levels. It also presents an analysis of other environmental mechanisms controlling the fluxes at the tree to stand scale. The model performed well in predicting branch, tree, and stand transpiration. A number of common approximations in process modeling were shown to affect accuracy in predicting fluxes; more rigorous process models such as we used are needed.
机译：河岸物种的蒸散量（ ET ）已成为中里奥格兰德州的生态学家和水管理人员关注的问题。作为一个多学科项目，已经在该地区的不同地点测试了几种估算水文预算这一重要且不确定的部分的方法。在展位一级，结合三种微气象学方法来估算 ET ，在新墨西哥州Socorro附近的Bosque del Apache上已经测试了预测 ET 的生物物理模型。我们的整体兴趣是开发一种能够从叶片到林分尺度放大并在种间转移的蒸腾（ E ）和同化（ A ）的机械模型。和网站。因此，有必要建立各种尺度下控制水和CO 2 通量的生理生态机制和模式。第二章通过测试我们的气孔电导率和CO 2 同化的实验数据是否可以适用于完整的气孔控制模型来满足这一需求。我们的模型捕获了叶尺度上控制的主要生理机制。第三章介绍了我们对叶子上的光分布进行建模的能力的测试，叶子是控制分支到树状尺度通量的重要环境因素。上一章介绍了整个模型，并通过比较树木和林分一级的实测通量和预测通量对性能进行了评估。它还分析了控制树木通量达到立足规模的其他环境机制。该模型在预测树枝，树木和林分蒸腾量方面表现良好。结果表明，过程建模中的许多常见近似值会影响预测通量的准确性。需要更严格的过程模型（例如我们使用的模型）。

著录项

相似文献

  • 外文文献
  • 中文文献
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