Modelling environmental effects on ecosystem productivity under diverse climates, soils and land use practices with the ecosystem simulation model ecosys

目前正在利用基于过程的生态系统模拟模型，预测在气候、干扰、土地使用和土壤质量假设变化的情况下生态系统生产力和温室气体交换的变化。开发和测试这种模型是加拿大碳计划（CCP）和北美碳计划（NACP）等国家和国际研究项目的既定目标。我的研究项目致力于构建和测试自然和管理生态系统的综合数学模型（ecosys）。该模型基于几个组成学科的基本原理，包括生物计量学，植物生物学，植物生物化学，农学，土壤生物学，土壤物理学和土壤化学。这项研究的创新性在于将这些原则整合到一个单一的数学实体中，可以重现陆地生态系统的复杂行为。我的计划的长期目标是提供一种方法来预测生态系统的反应（在C，营养，水状态的变化），以假设环境条件（土壤，气候，干扰和土地利用）的变化。在这些长期的目标，我建议测试模拟生态系统的过程，控制生态系统生产力的响应（1）泥炭地水文，（2）作物变暖。该测试将得到最近测量结果的支持：（1）CCP泥炭地的连续水转移和CO2交换，以及（2）USDA-ARS在自然田间条件下对作物的受控升温。水文和变暖对生产力的影响的模拟是根据独立实验室研究确定的基本物理和生物过程的动力学进行的，但尚未在实地条件下进行测试。在我担任首席研究员或共同研究员的不同国家研究项目中，这项拟议的工作将有助于ecosys对受气候、土壤质量和土地利用影响的不同生态系统生产力变化的预测能力。

Projections of changes in ecosystem productivity and greenhouse gas exchange under hypothesized changes in climate, disturbance, land use and soil quality are being made using process-based ecosystem simulation models. The development and testing of such models is a stated objective of national and international research projects such as the Canadian Carbon Program (CCP) and the North American Carbon Program (NACP). My research program is dedicated to the construction and testing of a comprehensive mathematical model (ecosys) of natural and managed ecosystems. This model is based upon fundamental principles in several component disciplines, including biometeorology, plant biology, plant biochemistry, agronomy, soil biology, soil physics, and soil chemistry. The innovative nature of this research lies in the integration of these principles into a single mathematical entity that can reproduce the complex behaviour of terrestrial ecosystems. The long-term objectives of my program are to provide a means to anticipate ecosystem response (changes in C, nutrient, water status) to hypothesized changes in environmental conditions (soils, climates, disturbance and land use). Within these longer-term objectives, I propose to test the simulation in ecosys of processes that control the responses of ecosystem productivity to (1) hydrology in peatlands, and (2) warming in crops. This testing will be supported by recent measurements of (1) continuous water transfer and CO2 exchange in peatlands in the CCP, and (2) controlled warming of crops under natural field conditions by the USDA-ARS. The simulation of hydrological and warming effects on productivity is based upon kinetics of basic physical and biological processes established from independent laboratory studies, but not as yet tested under field conditions. The proposed work will contribute to the predictive capability of ecosys for changes in the productivity of diverse ecosystems as affected by climate, soil quality and land use in different national research projects in which I am a principal investigator or co-investigator.