Congruence of local ecological knowledge (LEK)-based methods and line-transect surveys in estimating wildlife abundance in tropical forests
Braga-Pereira, Franciany (Universidade Federal da Paraíba. Rede de Pesquisa em Conservação, Uso e Manejo da Fauna da Amazônica (REDEFAUNA))
Morcatty, Thais Q. (Oxford Brookes University)
El Bizri, Hani R. (Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica)
Tavares, Aline S. (Universidade Federal do Amazonas)
Mere-Roncal, Carla (George Mason University)
González-Crespo, Carlos (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals)
Bertsch, Carolina (National Institute of Amazonian Research)
Rodriguez, Claudia Ramos (Autoridad Regional Ambiental, Gobierno Regional de Loreto)
Bardales-Alvites, Claudio (Autoridad Regional Ambiental, Gobierno Regional de Loreto)
von Mühlen, Eduardo M. (Universidade Federal do Rio Grande do Norte. Instituto Juruá)
Bernárdez-Rodríguez, Galicia Fernanda
Paim, Fernanda Pozzan (Rede de Pesquisa em Conservação, Uso e Manejo da Fauna da Amazônica)
Tamayo, Jhancy Segura (Servicio Nacional de Áreas Naturales Protegidas por el Estado)
Valsecchi, João (Rede de Pesquisa em Conservação, Uso e Manejo da Fauna da Amazônica)
Gonçalves, Jonas (National Institute of Amazonian Research. Secretaria Executiva de Ciência, Tecnologia e Inovação)
Torres-Oyarce, Leon (Gobierno Regional de Loreto. Autoridad Regional Ambiental)
Lemos, Lísley Pereira (Rede de Pesquisa em Conservação, Uso e Manejo da Fauna da Amazônica)
de Mattos Vieira, Marina A.R. (Universidad Carlos III de Madrid)
Bowler, Mark (University of Suffolk)
Gilmore, Michael P. (George Mason University)
Perez, Natalia Carolina Angulo (Acciones para una Vida Ecosostenible)
da Nóbrega Alves, Rômulo Romeu (Universidade Federal da Paraíba)
Peres, Carlos A. (University of East Anglia)
E. Pérez-Peña, Pedro (Instituto de Investigaciones de la Amazonía Peruana)
Mayor Aparicio, Pedro Ginés (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals)

Data:	2022
Descripció:	14 pàg.
Resum:	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.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Amazon ; Citizen science ; Ethnobiology ; Ethnozoology ; Subsistence hunting ; Traditional knowledge ; Vertebrates ; SDG 15 - Life on Land
Publicat a:	Methods in Ecology and Evolution, Vol. 13 Núm. 3 (2022) , p. 743-756, ISSN 2041-210X

DOI: 10.1111/2041-210X.13773

14 p, 1.8 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Grup de recerca Wildlife Ecology & Health
Articles > Articles de recerca
Articles > Articles publicats