Progress in predictive management of deer populations in British woodlands
Progress in predictive management of deer populations in British woodlands
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英国林地鹿群预测管理的进展
DOI：
10.1016/s0378-1127(96)03824-8
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发表时间：
1996
影响因子：
3.7
通讯作者：
B. Mayle
中科院分区：
文献类型：
--
作者：
B. Mayle
在过去的25年里，对英国林地中红鹿（Cervus elaphus）和黄鹿（Capreolus Capreolus Capreolus）种群生态学的研究导致了林地鹿管理预测方法的发展。总结了研究结果，并举例说明了红鹿、狍子鹿和梅花鹿（Cervus nippon）种群之间和种群内部在种群密度、生育力和存活率方面的巨大差异。利用莱斯利矩阵模型，利用密度、繁殖力和存活率来预测鹿群数量和年龄阶层结构随时间的变化。这些变化，连同关于当前林地生境利用和影响的数据，被用来表明随着林地通过第一次和第二次轮作的进展，未来可能产生的影响程度。然后，可以根据这些预测作出有关扑杀水平的决定，以满足所需的林地和鹿群管理目标。在苏格兰北部的格伦赖特（Glen right）给出了一个应用预测性鹿管理的例子，在那里，当地的狍种群被用于林地鹿管理的培训课程。
Research into the population ecology of red (Cervus elaphus) and roe (Capreolus capreolus) deer in woodland habitats in Great Britain over the last 25 years has led to the development of a predictive approach to woodland deer management. The results of the research are summarised and examples of the wide variation in population density, fertility and survival between and within red, roe and Sika deer (Cervus nippon) populations given. Estimates of density, fertility and survival are used to predict changes in numbers and age class structure of a deer population through time using Leslie Matrix models. These changes, together with data on current woodland habitat use and impact, are used to indicate possible impact levels in the future as the woodland progresses through first and second rotation. Decisions about culling levels to meet required woodland and deer management objectives can then be made based on these predictions. An example of the application of predictive deer management is given for Glen Righ in northern Scotland where the local roe deer population is being used for training courses on woodland deer management.