A simple Bayesian Belief Network for estimating the proportion of old-forest stands in the Clay Belt of Ontario using the provincial forest inventory.
A simple Bayesian Belief Network for estimating the proportion of old-forest stands in the Clay Belt of Ontario using the provincial forest inventory.
复制标题
一个简单的贝叶斯信念网络,用于使用省级森林清单来估计安大略省粘土带中原始林分的比例。
DOI:
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发表时间:
2010
期刊:
影响因子:
--
通讯作者:
Y. Bergeron
中科院分区:
文献类型:
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作者:
Dominic Cyr;S. Gauthier;D. Etheridge;G. Kayahara;Y. Bergeron
The differences between boreal forest landscapes produced by natural disturbance regimes and landscapes produced by harvesting are important and increasingly well documented. To continue harvesting operations while maintaining biodiversity and other ecosystem services, government policies and certification processes are pushing for practices that preserve landscape features within their range of natural variability. One major shortcoming in the implementation of such a strategy is the lack of complete spatial or temporal information about these landscape features, such as the proportion of old stands, which are believed to act as a coarse filter for conservation if they remain representative enough of natural conditions. The objective of this study was to quantify the proportion of old stands in a very large landscape by combining fragmentary knowledge from two different sources, i.e., a provincial forest inventory and existing fire history reconstructions using a Bayesian Belief Network. This study was c...
影响因子:
1.7
作者:
Dick J
通讯作者:
Dick J