Recognize nuance when interpreting monitoring results

IF 6.3 2区 环境科学与生态学 Q1 ECOLOGY Methods in Ecology and Evolution Pub Date : 2024-07-08 DOI:10.1111/2041-210X.14381
Christopher J. W. McClure, Brian W. Rolek
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在解释监测结果时认识到细微差别
我们最近发表了一项研究,讨论了在选择监测点时采用非概率抽样的弊端。我们证明,根据丰度选择监测点往往会导致推论出现偏差,因此我们建议研究人员使用概率取样。我们还呼吁,在解释使用非概率抽样的监测计划结果时,要注意细微差别。我们建议,在推断猛禽等长寿物种的种群动态时,从丰度高的地点进行推断可能仍然有用。佩雷特等人似乎将我们要求细微差别的呼吁误解为提倡非概率取样。他们说,我们的结论是,使用概率取样的一般建议应该修改。我们并没有得出这样的结论。事实上,我们同意他们的建议。Perret 等人进行的模拟在我们的研究中是不现实的。我们使用了 12 种猛禽的经验数据来证明我们之前的结果是有效的,Perret 等人的模拟并不能反映长寿猛禽的生物学特性。Perret 等人模拟的时间序列在数量上波动很大,种群数量往往在一年内增加一倍以上。这对于对地点高度忠诚的长寿物种种群来说是极不可能的。许多历史项目都会对丰度较高的地点进行监测,因此结果可能会有偏差。我们的研究表明,在一些重要条件下,这种风险很小,我们的结果很可能适用于其他长寿物种。认识到这一细微差别可以挽救许多长期监测项目及其数据,从而保护成本高昂的保护项目。与我们最初的研究一致,这些例外情况并不能使避免非概率取样的一般建议失效;但是,它们确实支持了我们的呼吁,即在解释对大量地点的动物进行监测的研究结果时应保持细微差别。
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来源期刊
CiteScore
11.60
自引率
3.00%
发文量
236
审稿时长
4-8 weeks
期刊介绍: A British Ecological Society journal, Methods in Ecology and Evolution (MEE) promotes the development of new methods in ecology and evolution, and facilitates their dissemination and uptake by the research community. MEE brings together papers from previously disparate sub-disciplines to provide a single forum for tracking methodological developments in all areas. MEE publishes methodological papers in any area of ecology and evolution, including: -Phylogenetic analysis -Statistical methods -Conservation & management -Theoretical methods -Practical methods, including lab and field -This list is not exhaustive, and we welcome enquiries about possible submissions. Methods are defined in the widest terms and may be analytical, practical or conceptual. A primary aim of the journal is to maximise the uptake of techniques by the community. We recognise that a major stumbling block in the uptake and application of new methods is the accessibility of methods. For example, users may need computer code, example applications or demonstrations of methods.
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