Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds
Aim: To offer a test of expert knowledge about rarity of twenty Amazon forest bird species following an approach that equates rarity with low site occupancy and formally accounts for imperfect species detection. We define ten pairs of closely related species, each pair with one hypothetically common...
| Autor principal: | Campos-Cerqueira, Marconi |
|---|---|
| Outros Autores: | Cohn-Haft, Mario, Vargas, Claudeir Ferreira, Nader, Carlos E., Andretti, Christian Borges, Costa, Thiago Vernaschi Vieira da, Sberze, Monica, Hines, James E., Ferraz, Gonçalo |
| Grau: | Artigo |
| Idioma: | English |
| Publicado em: |
Diversity and Distributions
2020
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| Assuntos: | |
| Acesso em linha: |
https://repositorio.inpa.gov.br/handle/1/17855 |
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oai:repositorio:1-17855 |
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dspace |
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oai:repositorio:1-17855 Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds Campos-Cerqueira, Marconi Cohn-Haft, Mario Vargas, Claudeir Ferreira Nader, Carlos E. Andretti, Christian Borges Costa, Thiago Vernaschi Vieira da Sberze, Monica Hines, James E. Ferraz, Gonçalo Bird Detection Method Knowledge Maximum Likelihood Analysis Probability Rainforest Rare Species Rarity Sampling Temporal Variation Amazonas Brasil Aves Aim: To offer a test of expert knowledge about rarity of twenty Amazon forest bird species following an approach that equates rarity with low site occupancy and formally accounts for imperfect species detection. We define ten pairs of closely related species, each pair with one hypothetically common and one hypothetically rare species. Our null hypothesis is that members of each pair have similar occupancy, with hypothesized differences due to detection errors alone. Location: A 1000-ha plot of primary rainforest in the central Brazilian Amazon. Methods: We visited each of 55 sampling sites multiple times per season for three field seasons and estimated the probability of site occupancy by each species following a maximum likelihood state-space approach that also estimates the probability that a species is present yet undetected at a site. To maximize detection and account for its variation, we employed three different sampling techniques while systematically training and testing observer's ability to recognize species. Results: Occupancy estimates agree with expert predictions in all but two species pairs and show no evidence of clear temporal variation in occupancy between sampling seasons. Detection probability had a positive relation with observer ability, a strong relation to time of day across species, and a strong relation with the use of playback for some species. Detection with point counts and with autonomous recorders varied between species pairs. Main conclusions: We reject the null hypothesis of equal occupancy within pairs, concluding that expert knowledge on species rarity is useful and worth eliciting. Our results replace qualitative ratings of rarity with statistical estimates of occupancy, establishing a reliable baseline for future comparisons. Besides illustrating the relevance of expert knowledge, this application to Amazonian birds illustrates a flexible approach that can be used for testing knowledge about rarity for a variety of species groups and spatial scales. © 2013 John Wiley & Sons Ltd. 2020-06-15T21:49:40Z 2020-06-15T21:49:40Z 2013 Artigo https://repositorio.inpa.gov.br/handle/1/17855 10.1111/ddi.12033 en Volume 19, Número 7, Pags. 710-721 Restrito Diversity and Distributions |
| institution |
Instituto Nacional de Pesquisas da Amazônia - Repositório Institucional |
| collection |
INPA-RI |
| language |
English |
| topic |
Bird Detection Method Knowledge Maximum Likelihood Analysis Probability Rainforest Rare Species Rarity Sampling Temporal Variation Amazonas Brasil Aves |
| spellingShingle |
Bird Detection Method Knowledge Maximum Likelihood Analysis Probability Rainforest Rare Species Rarity Sampling Temporal Variation Amazonas Brasil Aves Campos-Cerqueira, Marconi Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds |
| topic_facet |
Bird Detection Method Knowledge Maximum Likelihood Analysis Probability Rainforest Rare Species Rarity Sampling Temporal Variation Amazonas Brasil Aves |
| description |
Aim: To offer a test of expert knowledge about rarity of twenty Amazon forest bird species following an approach that equates rarity with low site occupancy and formally accounts for imperfect species detection. We define ten pairs of closely related species, each pair with one hypothetically common and one hypothetically rare species. Our null hypothesis is that members of each pair have similar occupancy, with hypothesized differences due to detection errors alone. Location: A 1000-ha plot of primary rainforest in the central Brazilian Amazon. Methods: We visited each of 55 sampling sites multiple times per season for three field seasons and estimated the probability of site occupancy by each species following a maximum likelihood state-space approach that also estimates the probability that a species is present yet undetected at a site. To maximize detection and account for its variation, we employed three different sampling techniques while systematically training and testing observer's ability to recognize species. Results: Occupancy estimates agree with expert predictions in all but two species pairs and show no evidence of clear temporal variation in occupancy between sampling seasons. Detection probability had a positive relation with observer ability, a strong relation to time of day across species, and a strong relation with the use of playback for some species. Detection with point counts and with autonomous recorders varied between species pairs. Main conclusions: We reject the null hypothesis of equal occupancy within pairs, concluding that expert knowledge on species rarity is useful and worth eliciting. Our results replace qualitative ratings of rarity with statistical estimates of occupancy, establishing a reliable baseline for future comparisons. Besides illustrating the relevance of expert knowledge, this application to Amazonian birds illustrates a flexible approach that can be used for testing knowledge about rarity for a variety of species groups and spatial scales. © 2013 John Wiley & Sons Ltd. |
| format |
Artigo |
| author |
Campos-Cerqueira, Marconi |
| author2 |
Cohn-Haft, Mario Vargas, Claudeir Ferreira Nader, Carlos E. Andretti, Christian Borges Costa, Thiago Vernaschi Vieira da Sberze, Monica Hines, James E. Ferraz, Gonçalo |
| author2Str |
Cohn-Haft, Mario Vargas, Claudeir Ferreira Nader, Carlos E. Andretti, Christian Borges Costa, Thiago Vernaschi Vieira da Sberze, Monica Hines, James E. Ferraz, Gonçalo |
| title |
Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds |
| title_short |
Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds |
| title_full |
Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds |
| title_fullStr |
Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds |
| title_full_unstemmed |
Rare or elusive? A test of expert knowledge about rarity of Amazon forest birds |
| title_sort |
rare or elusive? a test of expert knowledge about rarity of amazon forest birds |
| publisher |
Diversity and Distributions |
| publishDate |
2020 |
| url |
https://repositorio.inpa.gov.br/handle/1/17855 |
| _version_ |
1787141489593155584 |
| score |
11.755432 |