Evidence map›Paper›PMID 30766672›Full record

ArticleEcology and evolution2019

Use of classical bird census transects as spatial replicates for hierarchical modeling of an avian community.

María V Jiménez-Franco, Marc Kéry, Mario León-Ortega, Francisco Robledano, Miguel A Esteve, José F Calvo

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Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

María V Jiménez-FrancoDepartamento de Biología Aplicada Universidad Miguel Hernández de Elche Elche Spain.ORCID https://orcid.org/0000-0002-7254-0431
Marc KérySwiss Ornithological Institute Sempach Switzerland.
Mario León-OrtegaDepartamento de Ecología e Hidrología Universidad de Murcia Murcia Spain.
Francisco RobledanoDepartamento de Ecología e Hidrología Universidad de Murcia Murcia Spain.ORCID https://orcid.org/0000-0002-4209-8224
Miguel A EsteveDepartamento de Ecología e Hidrología Universidad de Murcia Murcia Spain.
José F CalvoDepartamento de Ecología e Hidrología Universidad de Murcia Murcia Spain.ORCID https://orcid.org/0000-0002-3813-4333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New monitoring programs are often designed with some form of temporal replication to deal with imperfect detection by means of occupancy models. However, classical bird census data from earlier times often lack temporal replication, precluding detection-corrected inferences about occupancy. Historical data have a key role in many ecological studies intended to document range shifts, and so need to be made comparable with present-day data by accounting for detection probability. We analyze a classical bird census conducted in the region of Murcia (SE Spain) in 1991 and 1992 and propose a solution to estimating detection probability for such historical data when used in a community occupancy model: the spatial replication of subplots nested within larger plots allows estimation of detection probability. In our study, the basic sample units were 1-km transects, which were considered spatial replicates in two aggregation schemes. We fit two Bayesian multispecies occupancy models, one for each aggregation scheme, and evaluated the linear and quadratic effect of forest cover and temperature, and a linear effect of precipitation on species occupancy probabilities. Using spatial rather than temporal replicates allowed us to obtain individual species occupancy probabilities and species richness accounting for imperfect detection. Species-specific occupancy and community size decreased with increasing annual mean temperature. Both aggregation schemes yielded estimates of occupancy and detectability that were highly correlated for each species, so in the design of future surveys ecological reasons and cost-effective sampling designs should be considered to select the most suitable aggregation scheme. In conclusion, the use of spatial replication may often allow historical survey data to be applied formally hierarchical occupancy models and be compared with modern-day data of the species community to analyze global change process.

Indexed as

Bayesian multispecies occupancy modelscell sizecommunity modelscommunity sizedetectabilityenvironmental covariatesforest birdshistorical data

Identifiers

PMID30766672
PMCPMC6362445

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.