کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
5743113 1412296 2017 6 صفحه PDF ندارد دانلود کنید
عنوان انگلیسی مقاله
Survey precision moderates the relationship between population size and stability
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Survey precision moderates the relationship between population size and stability
چکیده انگلیسی

Positive relationship between size of local populations and their stability is a central concept in conservation biology, utilised in its tools including metapopulation models and population viability analysis, although most empirical studies found this relationship rather weak. In the present study I evaluated the impact of the precision of population estimates on the strength of the relationship between population sizes, or patch areas used as their proxy, and the extent of their temporal variability. Based on the data provided by 13-year monitoring of three species of Maculinea (= Phengaris) butterflies, I quantified the variability of their population time-series with the coefficients of variation (CVs), using both their overall temporal variances as well as the variances corrected for sampling variance, which reflects the precision (sampling error) of seasonal population size estimates. The extent of population variability, expressed with the CVs uncorrected for sampling variance, correlated negatively with both population size and habitat patch area, but these relationships were relatively weak, especially in M. teleius and M. nausithous (R2 ~ 0.1). However, sampling error increased considerably with population size and patch area, due to smaller fractions of individuals being sampled. Consequently, in the case of the CVs based on the variances corrected for sampling variance, the negative correlations with population size and patch area were substantially stronger (R2 reaching 0.3–0.6). My results highlight the advantage of monitoring methods that allow quantifying sampling error, which is essential for assessing species extinction risk.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biological Conservation - Volume 212, Part A, August 2017, Pages 310-315
نویسندگان
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