کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4375535 1617412 2016 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integrating biology, field logistics, and simulations to optimize parameter estimation for imperiled species
ترجمه فارسی عنوان
یکپارچه سازی زیست شناسی، لجستیک زمینه و شبیه سازی برای بهینه سازی برآورد پارامتر برای گونه های در معرض خطر
کلمات کلیدی
طراحی قوی باز چندحالته ؛ برآورد پارامتر؛ مهاجرت موقت؛ Anaxyrus باد شمال ؛ طراحی بررسی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• Difficult access and insufficient knowledge of behavior result in sparse data.
• Meager data can inhibit parameter estimation.
• Specific mark-recapture models help to understand and quantify behavior.
• Aligning survey designs with breeding behavior can improve parameter estimates.
• Simulations can produce the best survey design for a target population.

Conservation of imperiled species often requires knowledge of vital rates and population dynamics. However, these can be difficult to estimate for rare species and small populations. This problem is further exacerbated when individuals are not available for detection during some surveys due to limited access, delaying surveys and creating mismatches between the breeding behavior and survey timing. Here we use simulations to explore the impacts of this issue using four hypothetical boreal toad (Anaxyrus boreas boreas) populations, representing combinations of logistical access (accessible, inaccessible) and breeding behavior (synchronous, asynchronous). We examine the bias and precision of survival and breeding probability estimates generated by survey designs that differ in effort and timing for these populations. Our findings indicate that the logistical access of a site and mismatch between the breeding behavior and survey design can greatly limit the ability to yield accurate and precise estimates of survival and breeding probabilities. Simulations similar to what we have performed can help researchers determine an optimal survey design(s) for their system before initiating sampling efforts.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 335, 10 September 2016, Pages 16–23
نویسندگان
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