Predicting animal abundance through local ecological knowledge : An internal validation using consensus analysis
Mayor Aparicio, Pedro Ginés (Universitat Autònoma de Barcelona. Departament de Sanitat i d'Anatomia Animals)
Morcatty, Thais Q. (Rede de Pesquisa para Estudos sobre Diversidade. University College London (UCL). Instituto de Desenvolvimento Sustentável Mamirauá)
Pérez-Peña, Pedro E. (Instituto de Investigaciones de la Amazonía Peruana)
Bowler, Mark T. (University of Suffolk)
de Mattos Vieira, Marina A.R. (Universidad Carlos III de Madrid)
Alves, Rômulo Romeu da Nóbrega (Universidade Federal da Paraíba)
Fa, Julia E. (Manchester Metropolitan University. Center for International Forestry Research)
Peres, Carlos A. (University of East Anglia)
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 (Gobierno Regional de Loreto. Autoridad Regional Ambiental)
Bardales-Alvites, Claudio (Gobierno Regional de Loreto. Autoridad Regional Ambiental)
von Muhlen, Eduardo (Universidade Federal do Rio Grande do Norte. Instituto Juruá)
Paim, Fernanda Pozzan (Instituto de Desenvolvimento Sustentável Mamirauá)
Tamayo, Jhancy Segura (Servicio Nacional de Áreas Naturales Protegidas por el Estado)
Valsecchi, João (Comunidad de Manejo de Fauna Silvestre en la Amazonía y en Latinoamérica (COMFAUNA))
Gonçalves, Jonas (Instituto de Desenvolvimento Sustentável Mamirauá)
Torres-Oyarce, Leon (Gobierno Regional de Loreto. Autoridad Regional Ambiental)
Lemos, Lísley Pereira (Virginia Polytechnic Institute and State University)
Gilmore, Michael P. (George Mason University)
Correa, Miguel Antúnez (Museum of Amazonian Indigenous Cultures)
Perez, Natalia Carolina Angulo (Acciones para una Vida Ecosostenible)
Puertas, Pablo (Instituto de Investigaciones de la Amazonía Peruana)
El Bizri, Hani R. (University of Salford. Rede de Pesquisa para Estudos sobre Diversidade)
Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals

Data:	2024
Descripció:	13 pàg.
Resum:	Given the ongoing environmental degradation from local to global scales, it is fundamental to develop more efficient means of gathering data on species and ecosystems. Local ecological knowledge, in which local communities can consistently provide information on the status of animal species over time, has been shown to be effective. Several studies demonstrate that data gathered using local ecological knowledge (LEK)-based methods are comparable with data obtained from conventional methods (such as line transects and camera traps). Here, we employ a consensus analysis to validate and evaluate the accuracy of interview data on LEK. Additionally, we investigate the influence of social and bioecological variables on enhancing data quality. We interviewed 323 persons in 19 villages in the Western and Central Amazon to determine the level of consensus on the abundance of hunted and non-hunted forest species. These villages varied in size, socio-economic characteristics and in the experience with wildlife of their dwellers. Interviewees estimated the relative abundance of 101 species with a broad spectrum of bioecological characteristics using a four-point Likert scale. High consensus was found for species population abundance in all sampled villages and for 79. 6% of interviewees. The village consensus of all species abundance pooled was negatively correlated with village population size. The consensus level was high regardless of the interviewees' hunting experience. Species that are more frequently hunted or are more apparent had greater consensus values; only two species presented a low consensus level, which are rare and solitary species. We show in our study in the Amazon that information gathered by local peoples, Indigenous as well as non-Indigenous, can be useful in understanding the status of animal species found within their environment. The high level of cultural consensus we describe likely arises from knowledge sharing and the strong connection between the persons interviewed and the forest. We suggest that consensus analysis can be used to validate LEK-generated data instead of comparing these types of data with information obtained by conventional methods. Read the free Plain Language Summary for this article on the Journal blog.
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, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Amazon ; Consensus ; Hunting ; Indigenous People ; Local communities ; Wild meat ; SDG 15 - Life on Land
Publicat a:	People and Nature, Vol. 6 Núm. 2 (2024) , p. 535-547, ISSN 2575-8314

DOI: 10.1002/pan3.10587

13 p, 5.3 MB

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