首页> 外文期刊>Forest Ecology and Management >From seedlings to trees: using ontogenetic models of growth and survivorship to assess long-term (>100 years) dynamics of a neotropical dry forest.
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From seedlings to trees: using ontogenetic models of growth and survivorship to assess long-term (>100 years) dynamics of a neotropical dry forest.

机译:从幼苗到树木:使用生长和存活的个体发育模型评估新热带干旱森林的长期(> 100年)动态。

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摘要

Long-term tree and seedling growth and survivorship data from permanent sample plots established in a neotropical dry forest in Jamaica from 1998 to 2008 were used to (1) model growth (periodic annual increment) and survivorship dynamics, (2) cluster structural and functional types, and (3) estimate the age of selected tropical dry forest tree species. A statistical comparison of parameter estimates derived from a generalized linear model (GLM) of each species to a reference species was used to group individuals based on size (DBH and height), and demographic dynamics (periodic annual increment and survivorship). We identified two groups of species based on structural types (canopy and sub-canopy species), three groups of species based on periodic annual increment (fast, intermediate, and slow growing) and four groups of species based on the probability of survivorship of seedlings and trees (very low probability of seedling survivorship but high tree survivorship (two groups); high survivorship throughout the DBH classes; very low survivorship, regardless of stem size). The composition of the groups was mixed, and included individuals of both structural types, and with different periodic annual increment and survival probabilities. The dichotomy of guilds found in tropical rainforests (pioneer and climax species) was not found in this forest. Individual and group GLMs incorporating empirical relationships between periodic annual increment and survivorship, across a spectrum of ontogenies and DBH's, were also generated. The periodic annual increment models were then used to estimate the time taken by a newly germinated seedling to reach the largest recorded DBH. The fastest growing species was the hemi-cryptophyte Clusia flava which was estimated to take 74 years to reach its maximum recorded size (12.1 cm DBH), whereas the slowest growing species, Ziziphus sarcomphalus, was estimated to take 399 years to reach its maximum size (24.4 cm DBH). These dry forest trees were estimated to reach their maximum size (which was one-half or one-third of the largest DBH recorded for tropical rainforests) in a time similar to tropical rainforest trees. Some of the tree species are ubiquitous to other neotropical dry forests; therefore, our equations for periodic annual increment and survivorship can be applied elsewhere in the region.
机译:使用1998年至2008年在牙买加新热带干旱森林中建立的永久性样地的长期树木和幼苗生长及生存数据,来(1)模拟生长(周期性的年增量)和生存动态,(2)集群的结构和功能类型,以及(3)估计某些热带干旱林木物种的年龄。从每个物种的广义线性模型(GLM)到参考物种的参数估计值的统计比较用于基于大小(DBH和身高)和人口动态(周期性的年度增量和生存期)对个体进行分组。我们根据结构类型(冠层和亚冠层物种)确定了两组物种,根据周期性的年增量(快速,中度和缓慢生长)确定了三类物种,并根据幼苗的存活概率确定了四类物种树木(树木成活率极低,树木成活率高(两组); DBH类中的成活率高;无论茎的大小如何,成活率都很低)。这些组的组成是混合的,并且包括两种结构类型的个体,并且具有不同的周期性年度增量和生存概率。在热带雨林(先锋物种和高潮物种)中发现的行会二分法未在该森林中发现。还产生了个体和群体GLM,这些个体和个体在各个个体和DBH的范围内结合了周期性的年度增量和生存率之间的经验关系。然后使用周期性的年度增量模型来估计新发芽的幼苗达到最大已记录DBH所需的时间。生长最快的物种是半隐藻 Clusia flava ,估计需要74年才能达到记录的最大大小(12.1 cm DBH),而生长最慢的物种 Zipiphus sarcomphalus

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