Study of biological communities subject to imperfect detection: bias and precision of community N-mixture abundance models in small-sample situations

• Published in: Ecological research Vol. 31; no. 3; pp. 289 - 305
• Main Authors: Yamaura, Yuichi, Kéry, Marc, Andrew Royle, J
• Format: Journal Article
• Language: English
• Published: Tokyo Springer Japan 01.05.2016; Blackwell Publishing Ltd
• Subjects: Behavioral Sciences; Biomedical and Life Sciences; Community ecology; Count data; Data augmentation; Ecology; Estimating techniques; Evolutionary Biology; False negative; Forestry; Life Sciences; Mathematical models; Miyadi Award; Performance assessment; Plant Sciences; Population density; probability; Species diversity; Species richness; Zoology; β (beta) diversity; Data augmentation; Count data; β (beta) diversity; False negative; Species richness

Community N-mixture abundance models for replicated counts provide a powerful and novel framework for drawing inferences related to species abundance within communities subject to imperfect detection. To assess the performance of these models, and to compare them to related community occupancy model...