Scientific foundations for boreal conservation

北方保护的科学基础

基本信息

批准号：
RGPIN-2015-04659
负责人：
Cumming, Steven
金额：
$ 1.89万
依托单位：
Université Laval
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2016
资助国家：
加拿大
起止时间：
2016-01-01 至 2017-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=613093
关键词：
Scientific foundations boreal conservation

项目摘要

I address three challenges for conservation planning and sustainable management of Canada’s boreal forests: predicting future fire regimes, predicting the future state of the forest, and developing computerized tools, or simulation models, to make these predictions over large areas and time spans of one or two centuries. Protected areas network designs take account of our understanding of fire regime, that is, of statistical descriptions of the number, size, and other characteristics of the fires typical of a given area. Forecasts into a future where climate and forest structure may be different than they are today is difficult, because our historical information in incomplete. In many parts of Canada, up until very recently, most small fires were not detected. This “size-biased sampling” can lead to seriously incorrect models of the effects of climate and vegetation on the outcomes of interest. Similarly, fire suppression effects may also bias our models, while at the same time changing the forest in important ways. Statistical methods can account for all these factors simultaneously, leading to unbiased models that can make reliable forecasts. Models of forest dynamics often use classified satellite data to describe the initial state of the forest, as being old or young, deciduous or coniferous. Obviously, the same location does not stay in the same state forever. Forests change over time through “succession” and regeneration, for example after a fire. These processes can be summarised as “state transition rules” that can be simulated by computer; unfortunately, we do not have a very clear understanding of what the rules are, and to date have relied more on expert opinion than on quantitative analysis to set parameters for computer models. It is now possible to do better, because we can now build reasonably long time series of satellite imagery for all of Canada, e.g. for the years 1990, 2000, and 2010. That is a long enough period so that it should be possible to estimate and model transition probabilities by careful comparison of the three maps. This would enable more reliable projections of future forest conditions as management and fire continue to unfold across the boreal. Doing so forms the second leg of this proposal. The third part of this proposal involves synthesising the results of the previous two parts with the results of substantial external efforts in modelling forest songbirds, waterfowl and caribou abundances, and in protected areas planning. This synthesis will take place by continuing the development of some established modelling tools; the objective is to project how climate, forest management and conservation activities will affect the future state of the boreal forest and its wildlife into the 22nd century. Tools like this will enable us to manage with the future in mind and to achieve, as far as possible, the outcomes preferred by Canadians.

我解决了加拿大北方森林保护规划和可持续管理的三个挑战：预测未来的火灾情况，预测森林的未来状态，以及开发计算机化工具或模拟模型，以在大面积和时间跨度上做出这些预测两个世纪。保护区网络设计考虑了我们对火灾状况的理解，即对特定地区典型火灾的数量、规模和其他特征的统计描述，预测未来的气候和森林结构可能与当前情况有所不同。今天的情况很困难，因为直到最近，我们的历史信息还不完整，大多数小火灾都没有被发现，这种“规模偏差抽样”可能会导致气候和影响的严重错误模型。植被对感兴趣结果的影响。同样，灭火效应也可能使我们的模型产生偏差，同时以重要方式改变森林，统计方法可以同时考虑所有这些因素，从而产生可以做出可靠预测的无偏差模型。森林动态模型通常使用分类卫星数据来描述森林的初始状态，如老的或年轻的、落叶的或针叶的，显然，同一位置的森林不会随着时间的“演替”而永远保持相同的状态。和再生，例如火灾后，这些过程可以概括为可以通过计算机模拟的“状态转换规则”；不幸的是，我们对规则是什么还没有非常清楚的了解，并且迄今为止更多地依赖于这些规则。专家比现在可以做得更好，因为我们现在可以为加拿大的所有定量数据建立相当长的时间序列，例如 1990 年、2000 年和 2010 年。这样就可以通过对三张地图的比较仔细来估计和模拟过渡概率，这将使随着管理和火灾继续在北方地区展开而对未来森林状况进行更可靠的预测。该提案的。该提案的第三部分涉及将前两部分的结果与森林鸣禽、水禽和驯鹿丰度建模以及保护区规划方面的大量外部努力的结果进行综合。这种综合将通过继续发展一些已建立的项目来实现。建模工具；目标是预测气候、森林管理和保护活动将如何影响 22 世纪北方森林及其野生动物的未来状况，这样的工具将使我们能够着眼于未来进行管理并实现：到目前为止尽可能地达到加拿大人喜欢的结果。