دورية أكاديمية
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Detection criteria and post-field sample processing influence results and cost efficiency of occupancy-based monitoring.

التفاصيل البيبلوغرافية
العنوان: Detection criteria and post-field sample processing influence results and cost efficiency of occupancy-based monitoring.
المؤلفون: Lonsinger RC; Department of Natural Resource Management, South Dakota State University, Brookings, South Dakota, 57007, USA., Knight RN; United States Army Dugway Proving Ground, Natural Resource Program, Dugway, Utah, 84022, USA., Waits LP; Department of Fish and Wildlife Sciences, University of Idaho, Moscow, Idaho, 83844, USA.
المصدر: Ecological applications : a publication of the Ecological Society of America [Ecol Appl] 2021 Oct; Vol. 31 (7), pp. e02404. Date of Electronic Publication: 2021 Aug 01.
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
اللغة: English
بيانات الدورية: Publisher: Ecological Society of America Country of Publication: United States NLM ID: 9889808 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1051-0761 (Print) Linking ISSN: 10510761 NLM ISO Abbreviation: Ecol Appl Subsets: MEDLINE
أسماء مطبوعة: Publication: Washington, D.C. : Ecological Society of America
Original Publication: Tempe, AZ : The Society, 1991-
مواضيع طبية MeSH: Foxes* , Specimen Handling*, Animals ; Cost-Benefit Analysis ; Models, Biological ; Reproducibility of Results
مستخلص: Optimization of occupancy-based monitoring has focused on balancing the number of sites and surveys to minimize field efforts and costs. When survey techniques require post-field processing of samples to confirm species detections, there may be opportunities to further improve efficiency. We used scat-based noninvasive genetic sampling for kit foxes (Vulpes macrotis) in Utah, USA, as a model system to assess post-field data processing strategies, evaluate the impacts of these strategies on estimates of occupancy and associations between parameters and predictors, and identify the most cost-effective approach. We identified scats with three criteria that varied in costs and reliability: (1) field-based identification (expert opinion), (2) statistical-based morphological identification, and (3) genetic-based identification (mitochondrial DNA). We also considered four novel post-field sample processing strategies that integrated statistical and genetic identifications to reduce costly genetic procedures, including (4) a combined statistical-genetic identification, (5) a genetic removal design, (6) a within-survey conditional-replicate design, and (7) a single-genetic-replicate with false-positive modeling design. We considered results based on genetic identification as the best approximation of truth and used this to evaluate the performance of alternatives. Field-based and statistical-based criteria prone to misidentification produced estimates of occupancy that were biased high (˜1.8 and 2.1 times higher than estimates without misidentifications, respectively). These criteria failed to recover associations between parameters and predictors consistent with genetic identification. The genetic removal design performed poorly, with limited detections leading to estimates that were biased high with poor precision and patterns inconsistent with genetic identification. Both statistical-genetic identification and the conditional-replicate design produced occupancy estimates comparable to genetic identification, while recovering the same model structure and associations at cost reductions of 67% and 74%, respectively. The false-positive design had the lowest cost (88% reduction) and recovered patterns consistent with genetic identification but had occupancy estimates that were ˜32% lower than estimated occupancy based on genetic identification. Our results demonstrate that careful consideration of detection criteria and post-field data processing can reduce costs without significantly altering resulting inferences. Combined with earlier guidance on sampling designs for occupancy modeling, these findings can aid managers in optimizing occupancy-based monitoring.
(© 2021 Ecological Society of America. This article has been contributed to by US Government employees and their work is in the public domain in the USA.)
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فهرسة مساهمة: Keywords: Vulpes macrotis; false positives; noninvasive monitoring; occupancy modeling; optimization; removal design
تواريخ الأحداث: Date Created: 20210707 Date Completed: 20211020 Latest Revision: 20211020
رمز التحديث: 20231215
DOI: 10.1002/eap.2404
PMID: 34231272
قاعدة البيانات: MEDLINE
الوصف
تدمد:1051-0761
DOI:10.1002/eap.2404