D. Cywicka, M. Hędrzak, Miroslawa M. Dlugosz, Luiza Tymińska-Czabańska
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引用次数: 0
摘要
管理国家公园内的大型有蹄类动物需要对许多因素有全面的了解(种群参数、动物分布和栖息地数量、觅食地、迁徙的强度和方向),以及应对负面偶然事件影响的技能。许多因素本质上是随机的;因此,从编程的角度来看,管理有蹄类种群的问题很难用算法来表述。本文提出了一个利用人工神经网络(ANN)建立的模型。用该模型得到的结果表明,不需要在公园边界内进行扑杀,就可以维持公园内的种群数量。该研究还表明,在这些地区应该增加对母鹿的扑杀。该研究提出了保护区内马鹿种群的替代扑杀策略。研究生态。月-第11卷第2期2019年7月ISSN 2073-106X pr int vers ion - ISSN 2073-1558 online vers ion: http://www.epub .oeaw.ac.at/eco。月tps://dx.doi.org/10.1553/eco.mont-11-2s4
Protection by culling: the crux of red deer management in National Parks
Managing large ungulates in the territory of national parks requires comprehensive knowledge of many factors (population parameters, the distribution of animals and the number of their habitats, their feeding grounds, the intensity and direction of their migration), and skill in responding to the effects of negative chance events. A large number of the factors are by nature stochastic; thus, from a programming perspective, the issue of managing ungulate populations is difficult to formulate as an algorithm. This paper presents a model built using artificial neural networks (ANN). The results obtained with this model show that it is possible to maintain the population in a park without the necessity for culling within its boundaries. The study also demonstrated that culling specifically of hinds in these areas should be increased. The research presents alternative culling strategies for red deer populations in protected areas. Research eco.mont – Volume 11, Number 2, July 2019 ISSN 2073-106X pr int vers ion – ISSN 2073-1558 onl ine vers ion: ht tp://epub.oeaw.ac.at/eco.mont ht tps://dx.doi.org/10.1553/eco.mont-11-2s4 4
期刊介绍:
eco.mont offers a platform specifically for scientists and practitioners working in and on protected mountain areas in Europe and overseas.Target audiences of the journal are scientists from all related disciplines, managers of protected areas and an interested public including practitioners, visitors, teachers, etc.