吸引点:一种量化普通雀类种群的新抽样设计方法

IF 8.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2025-02-01 Epub Date: 2025-01-29 DOI:10.1016/j.ecolind.2025.113155
Lorenzo Marazuela Pinela , Ángel Julián Martín Fernández , Pablo-Luis López-Espí
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引用次数: 0

摘要

现有的监测鸟类种群的方法主要集中在它们的存在、栖息地、身体和健康特征,以及更全面的,它们的丰度和繁殖季节的趋势。由于这些方法没有使用无偏统计估计器,因此鸟类密度的准确估计或获得丰度的测量通常基于间接计数,例如检测概率与距离,或假设,例如所有个体的均匀分布,然后将其与鸟类密度相关。大多数这些计数提供了多物种长期趋势的近似值,但对于特定物种、地区或繁殖季节以外的物种可能不准确。以雀科(Fringillidae)为例,要对特定地区的种群密度进行直接和更准确的估计,需要一种基于无偏统计估计值的专门方法,这种方法考虑到这些鸟类的独特特征,并最大限度地减少与常用的多物种方法相关的问题。目前,还没有定量的种群管理方法,使野生动物管理者能够确保在特定地区的整个生命周期中对雀类种群进行可持续的管理。作为为此目的开发定量方法的一部分,本研究引入了一种基于定点的种群清查模型,该模型利用被清查的边缘物种的活诱饵鸟。这个模型利用了这个鸟类家族的行为学特征,它们没有领地性,通过歌声吸引同种鸟的陪伴。因此,其适用性仅限于具有相似行为特征的其他鸟类分类群。“吸引点法”(APM)在西班牙的几个跟踪雀类种群的项目中得到了应用和评估,特别是在马德里社区,自2018年以来,该社区一直在对雀类种群进行持续研究。研究计划分为三个阶段:繁殖季节的开始和结束(婚前和婚后),以及越冬,以便计算存活率、死亡率和繁殖成功率。本文介绍了该模型及其应用结果,以及与其他常用抽样模型相比,该模型在控制和可持续管理中所具有的优势和不足。
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Attraction points: A new sampling design method to quantify common finches’ population
Existing methodologies for monitoring bird populations primarily focus on their presence, habitat, physical and health characteristics, and, more comprehensively, their abundance and trends in breeding season. Due to the fact that these methodologies do not use unbiased statistical estimators, the accurate estimation of bird densities or obtaining measures of abundance is often based on indirect counts, such as, detection probability versus distance, or assumptions, such as the homogeneous distribution of all individuals, which are then correlated with bird density. Most of these counts provide a multispecies approximation of long-term trends but may be inaccurate for specific species, regions or outside of the breeding season. In the case of finches (Fringillidae), determining a direct and more accurate estimate of density of their populations in a specific area requires a specialised methodology based on unbiased statistical estimators, one that accounts on the unique characteristics of these birds and minimises the issues associated with commonly applied multispecies methodologies.
Currently, no quantitative population management method exists that enables wildlife managers to ensure the sustainable management of finch populations in a specific territory throughout their annual life cycle. As part of the development of a quantitative method for this purpose, this study introduces a population inventory model based on fixed points utilising live decoy birds of the fringillid species being inventoried. The model leverages the ethological characteristics of this bird family, which are non-territorial and seeks the company of conspecifics, which they attract through song. Consequently, its applicability is limited to other bird taxa with similar behavioural traits.
The “Attraction Points Method” (APM), which uses the songs of live congeners, as described here, has been employed and evaluated in several projects for tracking finch populations in Spain, particularly in the Community of Madrid, where a continuous study of their populations has been conducted since 2018. The study was planned in three periods: the beginning and end of the breeding season (pre-nuptial and post-nuptial), and wintering, allowing for the calculation of survival, mortality and reproductive success ratios.
This article presents the model, the results obtained from its application, and its advantages and disadvantages for the control and sustainable management of fringillid populations compared to other frequently used sampling models.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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