Plasticity as a Link Between Spatially Explicit, Distance-Independent, and Whole-Stand Forest Growth Models

被引:3
|
作者
Garcia, Oscar [1 ]
机构
[1] Dasometrics, Concon, Chile
关键词
growth and yield; competition; spatial statistics; stochastic processes; causal inference; COMPETITION; ASYMMETRY; DYNAMICS;
D O I
10.1093/forsci/fxab043
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Models at various levels of resolution are commonly used for both forest management and ecological research. They all have comparative advantages and disadvantages, making desirable a better understanding of the relationships between various approaches. Accounting for crown and root morphological plasticity in the limit where equilibrium among neighbors is reached (perfect plasticity) transforms spatial models into nonspatial, distance-independent versions. The links between spatial and nonspatial models obtained through a perfect plasticity assumption are more realistic than ignoring spatial structure by a mean field approximation. This article also reviews the connection between distance-independent models and size distributions and how distributions evolve over time and relate to whole-stand descriptions. In addition, some ways in which stand-level knowledge feeds back into detailed individual-tree formulations are demonstrated. This presentation is intended to be accessible to nonspecialists.
引用
收藏
页码:1 / 7
页数:7
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