TY - JOUR
T1 - Congruence of local ecological knowledge (LEK)-based methods and line-transect surveys in estimating wildlife abundance in tropical forests
AU - Braga-Pereira, Franciany
AU - Morcatty, Thais Q.
AU - El Bizri, Hani R.
AU - Tavares, Aline S.
AU - Mere-Roncal, Carla
AU - González-Crespo, Carlos
AU - Bertsch, Carolina
AU - Rodriguez, Claudia Ramos
AU - Bardales-Alvites, Claudio
AU - von Mühlen, Eduardo M.
AU - Bernárdez-Rodríguez, Galicia Fernanda
AU - Paim, Fernanda Pozzan
AU - Tamayo, Jhancy Segura
AU - Valsecchi, João
AU - Gonçalves, Jonas
AU - Torres-Oyarce, Leon
AU - Lemos, Lísley Pereira
AU - de Mattos Vieira, Marina A. R.
AU - Bowler, Mark
AU - Gilmore, Michael P.
AU - Perez, Natalia Carolina Angulo
AU - da Nóbrega Alves, Rômulo Romeu
AU - Peres, Carlos A.
AU - E. Pérez-Peña, Pedro
AU - Mayor, Pedro
N1 - DATA AVAILABILITY STATEMENT: Data deposited in the Dryad Repository: http://datadryad.org/resource/ https://doi.org/10.5061/dryad.905qfttms (Braga-Pereira et al., 2021).
PY - 2022/3
Y1 - 2022/3
N2 - 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.
AB - 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.
KW - Amazon
KW - citizen science
KW - ethnobiology
KW - ethnozoology
KW - subsistence hunting
KW - traditional knowledge
KW - vertebrates
UR - http://www.scopus.com/inward/record.url?scp=85120476153&partnerID=8YFLogxK
U2 - 10.1111/2041-210X.13773
DO - 10.1111/2041-210X.13773
M3 - Article
AN - SCOPUS:85120476153
VL - 13
SP - 743
EP - 756
JO - Methods in Ecology and Evolution
JF - Methods in Ecology and Evolution
SN - 2041-210X
IS - 3
ER -