Evaluating Tree Species Spatial Diversity Based on Neighborhood Relationships
Evaluating Tree Species Spatial Diversity Based on Neighborhood Relationships
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DOI：
10.1093/forestscience/57.4.292
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发表时间：
2011-08
期刊：
影响因子：
1.4
通讯作者：
G. Hui;Xiu-hai Zhao;Zhonghua Zhao;K. Gadow
中科院分区：
文献类型：
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作者：
G. Hui;Xiu-hai Zhao;Zhonghua Zhao;K. Gadow
提出了一种基于树邻域分析的森林树种多样性描述方法。建议的措施树种空间多样性（TSS）的比较与四个常用的多样性指数，使用经验和模拟数据。经验数据集包括来自中国、蒙古、墨西哥、德国、缅甸和南非不同森林类型的已知树木坐标的实地观测。模拟集使用12个专门设计的空间物种混合模式。结果表明，TSS指标值随树种丰富度的增加而增加。此外，TSS对稀有物种和群落结构的变化敏感，包括物种空间隔离和空间混合。因此，TSS准则比常用的指数更能有效地测量树种多样性。它允许详细解释森林空间多样性和森林结构的修改后，选择性间伐多物种森林。TSS指数的一个特别优点是，它的评估是以邻里关系为基础的，可以很容易地纳入日常森林管理调查，实际上不需要额外费用。
This contribution presents a method for describing forest tree species diversity based on the analysis of tree neighborhoods. The proposed measure of tree species spatial diversity (TSS) is compared with four commonly used diversity indices using empirical and simulated data. The empirical dataset includes field observations with known tree coordinates from different forest types in China, Mongolia, Mexico, Germany, Myanmar, and South Africa. The simulated set uses 12 specifically designed patterns of spatial species mingling. The results show that the value of the TSS criterion increases with increasing tree species richness. In addition, TSS is sensitive to rare species and to variations in community structure, including species spatial isolation and spatial mingling. For these reasons, the TSS criterion is much more effective for measuring tree species diversity than the commonly used indices. It allows detailed interpretation of forest spatial diversity and of forest structural modifications after selective thinnings in multispecies forests. A particular advantage of the TSS index is the fact that its assessment, which is based on neighborhood relations, can be easily integrated in routine forest management surveys at practically no additional cost.