TESTING STELLA DYNAMIC MODELING PACKAGE FOR THREATENED PEREGRINE FALCON POPULATION ASSESSMENT

A. Tsaturyan, A. Gevorgyan, G. Tsaturyan, S. Antonyan, K. Aghababyan
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Abstract

The Peregrine Falcon (Falco peregrinus) is the world's most widely distributed avian predator, which also inhabits various natural ecosystems of Armenia. In the past, the Peregrines faced a dramatic decline in the mid-20th century being affected by pesticides used in agriculture and forestry. Today, in Armenia, the species is rather vulnerable from the pollution of mining industry, municipal dumps, pollution by pesticides, and potentially, from illegal trade for falconry, therefore its population needs proper assessment. Population modeling is one of the novel and precise assessment methods, which can serve for more effective species conservation. The existing estimation of Peregrine’s population in Armenia was not based on a comprehensive model, which considers such aspects as food sources, potential risks, and actual threats. Thus, in our study, we have developed and tested a model, which includes the following parameters that potentially can impact the population’s growth and reduction: nest competitors, food competitors, potential prey species, juvenile predators, poachers, and pesticides used to manage forest pests. Modeling of Peregrine’s population in Armenia was conducted using Euler’s method in frames of the STELLA package. The model demonstrated a decrease of Peregrine Falcons’ population in the south of Syunik with its potential vanishing in the next 25 years. The field observations confirmed the predicted decline in some extent.
测试Stella动态建模包用于濒危游隼种群评估
游隼(Falco peregrinus)是世界上分布最广泛的鸟类掠食者,也栖息在亚美尼亚的各种自然生态系统中。在过去,由于农业和林业中使用杀虫剂的影响,游隼在20世纪中期面临着急剧下降。今天,在亚美尼亚,由于采矿业的污染、市政垃圾场的污染、杀虫剂的污染以及潜在的非法猎鹰贸易,该物种相当脆弱,因此需要对其数量进行适当的评估。种群模型是一种新颖而精确的评估方法,可以为更有效的物种保护服务。对亚美尼亚游隼种群的现有估计并不是基于一个综合模型,该模型考虑了食物来源、潜在风险和实际威胁等方面。因此,在我们的研究中,我们开发并测试了一个模型,该模型包括以下可能影响种群增长和减少的参数:巢竞争对手、食物竞争对手、潜在猎物物种、幼食者、偷猎者和用于管理森林害虫的杀虫剂。在STELLA软件包框架中,使用欧拉方法对亚美尼亚游隼种群进行建模。该模型显示,在苏尼克南部,游隼的数量正在减少,并有可能在未来25年内消失。实地观察在一定程度上证实了预测的下降。
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