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首页> 外文期刊>Biological Conservation >Factors affecting the success of an otter (Lutra lutra) reinforcement programme, as identified by post-translocation monitoring
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Factors affecting the success of an otter (Lutra lutra) reinforcement programme, as identified by post-translocation monitoring

机译:迁移后的监测表明,影响水獭(Lutra lutra)加固计划成功的因素

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摘要

Monitoring is essential to evaluate the success of translocations, but is frequently neglected. One exception has been the reinforcement of the otter (Lutra lutra) population in the Derwent and Esk catchments in North East England, UK, between 1990 and 1993. Here, we use data on otter sprainting activity collected before, during and after translocations to identify relationships with vegetation, food resources and physical river characteristics. Sprainting activity increased significantly with trout density, stream order, and surrounding cover by woodland and semi-natural grassland vegetation, and decreased significantly with stream gradient. The form of these relationships was unimodal, sprainting activity peaking at intermediate levels of environmental variables. A logistic regression model including variables relating to fish density, the physical characteristics of the river and surrounding vegetation cover was able to predict the presence or absence of otter sprainting at different survey sites with an accuracy of 92%. Fish density and the physical characteristics of the river were the most important factors in the model. Models such as this are of practical use for assessing the likely success of future otter translocations, both in North East England and other regions of the UK and Europe.
机译:监测对于评估易位成功是必不可少的,但经常被忽略。一个例外是1990年至1993年之间英国东北英格兰德文特和埃斯克集水区的水獭种群增加。在这里,我们使用易位之前,期间和之后收集的水獭扭伤活动数据来识别与植被,食物资源和河流物理特征的关系。藻类和半天然草地植被的扭伤活性随鳟鱼密度,溪流次序和周围覆盖而显着增加,随溪流梯度而显着下降。这些关系的形式是单峰的,扭伤活性在环境变量的中间水平达到峰值。包括与鱼类密度,河流的物理特征和周围植被覆盖有关的变量的逻辑回归模型能够以92%的准确度预测水獭在不同调查地点是否扭伤。鱼的密度和河流的物理特性是该模型中最重要的因素。这样的模型可用于评估英格兰东北部以及英国和欧洲其他地区未来水獭易位的可能成功。

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