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Congruence of local ecological knowledge (LEK)‐based methods and line‐transect surveys in estimating wildlife abundance in tropical forests

Braga‐Pereira, Franciany; Morcatty, Thais Q.; El Bizri, Hani R.; Tavares, Aline S.; Mere‐Roncal, Carla; González‐Crespo, Carlos; Bertsch, Carolina; Rodriguez, Claudia Ramos; Bardales‐Alvites, Claudio; von Mühlen, Eduardo M.; Bernárdez‐Rodríguez, Galicia Fernanda; Paim, Fernanda Pozzan; Tamayo, Jhancy Segura; Valsecchi, João; Gonçalves, Jonas; Torres‐Oyarce, Leon; Lemos, Lísley Pereira; Vieira, Marina A. R.; Bowler, Mark; Gilmore, Michael P.; Perez, Natalia Carolina Angulo; Alves, Rômulo Romeu; Peres, Carlos A.; Pérez‐Peña, Pedro; Mayor, Pedro

Authors

Franciany Braga‐Pereira

Thais Q. Morcatty

Aline S. Tavares

Carla Mere‐Roncal

Carlos González‐Crespo

Carolina Bertsch

Claudia Ramos Rodriguez

Claudio Bardales‐Alvites

Eduardo M. von Mühlen

Galicia Fernanda Bernárdez‐Rodríguez

Fernanda Pozzan Paim

Jhancy Segura Tamayo

João Valsecchi

Jonas Gonçalves

Leon Torres‐Oyarce

Lísley Pereira Lemos

Marina A. R. Vieira

Mark Bowler

Michael P. Gilmore

Natalia Carolina Angulo Perez

Rômulo Romeu Alves

Carlos A. Peres

Pedro Pérez‐Peña

Pedro Mayor



Abstract

Effective estimation of wildlife population abundance is an important component of population monitoring, and ultimately essential for the development of conservation actions. Diurnal line-transect surveys are one of the most applied methods for abundance estimations. Local ecological knowledge (LEK) is empirically acquired through the observation of ecological processes by local people. LEK-based methods have only been recognized as valid scientific methods for surveying fauna abundance in the last three decades. However, the agreement between both methods has not been extensively analysed.
We compared concomitant abundance data for 91 wild species (mammals, birds and tortoises) from diurnal line transects (9,221 km of trails) and a LEK-based method (291 structured interviews) at 18 sites in Central and Western Amazonia. We used biological and socioecological factors to assess the agreements and divergences between abundance indices obtained from both methods.
We found a significant agreement of population abundance indices for diurnal and game species. This relationship was also positive regardless of species sociality (solitary or social), body size and locomotion mode (terrestrial and arboreal); and of sampled forest type (upland and flooded forests). Conversely, we did not find significant abundance covariances for nocturnal and non-game species. Despite the general agreement between methods, line transects were not effective at surveying many species occurring in the area, with 40.2% and 39.8% of all species being rarely and never detected in at least one of the survey sites. On the other hand, these species were widely reported by local informants to occur at intermediate to high abundances.
Although LEK-based methods have been long neglected by ecologists, our comparative study demonstrated their effectiveness for estimating vertebrate abundance of a wide diversity of taxa and forest environments. This can be used simultaneously with line-transect surveys to calibrate abundance estimates and record species that are rarely sighted during surveys on foot, but that are often observed by local people during their daily extractive activities. Thus, the combination of local and scientific knowledge is a potential tool to improve our knowledge of tropical forest species and foster the development of effective strategies to meet biodiversity conservation goals.

Citation

Braga‐Pereira, F., Morcatty, T. Q., El Bizri, H. R., Tavares, A. S., Mere‐Roncal, C., González‐Crespo, C., …Mayor, P. (2022). Congruence of local ecological knowledge (LEK)‐based methods and line‐transect surveys in estimating wildlife abundance in tropical forests. Methods in Ecology and Evolution, 13(3), 743-756. https://doi.org/10.1111/2041-210x.13773

Journal Article Type Article
Acceptance Date Sep 23, 2021
Online Publication Date Dec 5, 2021
Publication Date 2022-03
Deposit Date May 21, 2023
Publicly Available Date May 22, 2023
Journal Methods in Ecology and Evolution
Electronic ISSN 2041-210X
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 13
Issue 3
Pages 743-756
DOI https://doi.org/10.1111/2041-210x.13773
Keywords Ecological Modeling; Ecology, Evolution, Behavior and Systematics

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