Alpizar-Jara Russell, Nichols James D, Hines James E, Sauer John R, Pollock Kenneth H, Rosenberry Christopher S
Departamento de Matemática, Universidade de Evora, Rua Romão Ramalho 59, 7000-671 Evora, Portugal.
Oecologia. 2004 Dec;141(4):652-60. doi: 10.1007/s00442-004-1641-0. Epub 2004 Sep 15.
In community-level ecological studies, generally not all species present in sampled areas are detected. Many authors have proposed the use of estimation methods that allow detection probabilities that are <1 and that are heterogeneous among species. These methods can also be used to estimate community-dynamic parameters such as species local extinction probability and turnover rates (Nichols et al. Ecol Appl 8:1213-1225; Conserv Biol 12:1390-1398). Here, we present an ad hoc approach to estimating community-level vital rates in the presence of joint heterogeneity of detection probabilities and vital rates. The method consists of partitioning the number of species into two groups using the detection frequencies and then estimating vital rates (e.g., local extinction probabilities) for each group. Estimators from each group are combined in a weighted estimator of vital rates that accounts for the effect of heterogeneity. Using data from the North American Breeding Bird Survey, we computed such estimates and tested the hypothesis that detection probabilities and local extinction probabilities were negatively related. Our analyses support the hypothesis that species detection probability covaries negatively with local probability of extinction and turnover rates. A simulation study was conducted to assess the performance of vital parameter estimators as well as other estimators relevant to questions about heterogeneity, such as coefficient of variation of detection probabilities and proportion of species in each group. Both the weighted estimator suggested in this paper and the original unweighted estimator for local extinction probability performed fairly well and provided no basis for preferring one to the other.
在社区层面的生态研究中,通常并非采样区域内所有存在的物种都能被检测到。许多作者提出使用估计方法,这些方法允许检测概率小于1且在物种间存在异质性。这些方法也可用于估计群落动态参数,如物种局部灭绝概率和周转率(Nichols等人,《生态应用》8:1213 - 1225;《保护生物学》12:1390 - 1398)。在此,我们提出一种临时方法,用于在检测概率和生命率存在联合异质性的情况下估计群落层面的生命率。该方法包括利用检测频率将物种数量分为两组,然后估计每组的生命率(如局部灭绝概率)。来自每组的估计值在一个考虑异质性影响的生命率加权估计器中进行合并。利用北美繁殖鸟类调查的数据,我们计算了此类估计值,并检验了检测概率与局部灭绝概率呈负相关的假设。我们的分析支持这样的假设,即物种检测概率与局部灭绝概率和周转率呈负相关。进行了一项模拟研究,以评估生命参数估计器以及与异质性问题相关的其他估计器的性能,如检测概率的变异系数和每组物种的比例。本文提出的加权估计器和原始的局部灭绝概率未加权估计器表现都相当不错,且没有依据表明更倾向于其中一个。