Advances in Modelling Land Change and Estimating Ecosystem Function Across Ontario

安大略省土地变化建模和生态系统功能估算的进展

基本信息

  • 批准号:
    RGPIN-2014-06252
  • 负责人:
  • 金额:
    $ 1.89万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2015
  • 资助国家:
    加拿大
  • 起止时间:
    2015-01-01 至 2016-12-31
  • 项目状态:
    已结题

项目摘要

The effects of land-use and land-cover change on how ecosystems function has become a critical issue of local, provincial, national, and global concern. Over 30% of the Earth’s surface has been altered by human activities and while the extent of alteration by natural disturbances is uncertain, these disturbances may have greater ecological impacts than human activities in countries with large areas and relatively small populations (e.g., Canada). Because human and natural activities driving land-use and land-cover change are so pronounced, land-use and land-cover change is inexplicably linked to ecological processes and often guides the quantity and quality of ecosystem function. In Canada, measurement and monitoring of land-use and land-cover change is achieved using remote sensing (e.g., Canada Land Inventory, Annual Crop Inventory). Remote sensing products are extremely useful in terms of quantifying historical land-use and land-cover change and deriving estimates of ecosystem function. However, these estimates, which are often used in national assessments, typically use top-down approaches (e.g., benefits transfer) that fail to account for changes in ecological function due to climate conditions or landscape heterogeneity (i.e., site characteristics). To incorporate biogeochemical (e.g., nutrient cycling), biogeophysical (e.g., heat flux, evaporation), and other process effects on ecosystem function, scientists use ecosystem process models (e.g., Century, Biome-BGC, CBM-CFS3). These models account for heterogeneity in soil, climate, and other factors that drive vegetation growth and other ecological processes. However, they are typically applied at coarse scales (e.g., 0.5 degree resolution). At this resolution they offer useful estimates of national scale ecological conditions, but results do not coincide with land units at which humans make decisions or at which policy is made. Furthermore, these models are ill equipped to address changes in land cover, land management, and among other issues, landscape fragmentation. Contemporary ecological modeling efforts use prescribed land-cover data and are unable to account for dynamic changes in land use, land cover, or land management. New models are needed to integrate a dynamic representation of land-use and land-cover change and ecosystem process to improve our understanding and quantification of how land-use and land-cover change affects ecosystem function. Despite calls to improve research and models that link land-use and land-cover change with ecological processes by the Global Land Project, Future Earth, and the United States National Science Foundation’s Coupled Natural/Human Systems program, a national land-use and land-cover change model for Canada has yet to exist. This research program uses a bottom-up modeling approach to create a land-use and land-cover change model for Ontario that integrates with ecosystem process models for the explicit purpose of estimating the effects of different quantities and patterns of land use and land cover derived from socio-economic and policy scenarios on ecosystem function. Results from this research will 1) garner an improved understanding of the interactions, feedbacks, and thresholds associated with ecosystem function due to different quantity and patterns of land use and land cover, 2) identify sensitive ecological areas vulnerable to specific patterns of land use and land cover, 3) provide methodological advancements in terms of model integration and conceptual issues in coupling land-use and land-cover change with ecological processes, and 4) provide the first step towards a national land-use and land-cover change model and ecosystem function assessment program.
土地利用和土地覆盖变化对生态系统功能的影响已经成为地方、省、国家和全球关注的一个关键问题。超过30%的地球表面已被人类活动改变,虽然自然干扰的改变程度尚不确定,但在面积大、人口相对较少的国家(如加拿大),这些干扰可能比人类活动产生更大的生态影响。由于驱动土地利用和土地覆盖变化的人类和自然活动是如此明显,土地利用和土地覆盖的变化与生态过程有着令人费解的联系,并常常指导生态系统功能的数量和质量。

项目成果

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Robinson, Derek其他文献

Robinson, Derek的其他文献

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{{ truncateString('Robinson, Derek', 18)}}的其他基金

Data visualization of drug checking reports
药品检查报告数据可视化
  • 批准号:
    556515-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 1.89万
  • 项目类别:
    University Undergraduate Student Research Awards
Advances in Modelling Land Change and Estimating Ecosystem Function Across Ontario
安大略省土地变化建模和生态系统功能估算的进展
  • 批准号:
    RGPIN-2014-06252
  • 财政年份:
    2019
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Advances in Modelling Land Change and Estimating Ecosystem Function Across Ontario
安大略省土地变化建模和生态系统功能估算的进展
  • 批准号:
    RGPIN-2014-06252
  • 财政年份:
    2018
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Advances in Modelling Land Change and Estimating Ecosystem Function Across Ontario
安大略省土地变化建模和生态系统功能估算的进展
  • 批准号:
    RGPIN-2014-06252
  • 财政年份:
    2017
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Advances in Modelling Land Change and Estimating Ecosystem Function Across Ontario
安大略省土地变化建模和生态系统功能估算的进展
  • 批准号:
    RGPIN-2014-06252
  • 财政年份:
    2016
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Advances in Modelling Land Change and Estimating Ecosystem Function Across Ontario
安大略省土地变化建模和生态系统功能估算的进展
  • 批准号:
    RGPIN-2014-06252
  • 财政年份:
    2014
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Discovery Grants Program - Individual
Land-use policy & adjacency effects on ecosys. function
土地使用政策
  • 批准号:
    331487-2006
  • 财政年份:
    2007
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Postgraduate Scholarships - Doctoral
Land-use policy & adjacency effects on ecosys. function
土地使用政策
  • 批准号:
    331487-2006
  • 财政年份:
    2006
  • 资助金额:
    $ 1.89万
  • 项目类别:
    Postgraduate Scholarships - Doctoral

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Improving modelling of compact binary evolution.
  • 批准号:
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  • 批准年份:
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