Citizen scientist and researcher produced similar environmental niche to larger and nonendangered Felidae species

Abstract Knowledge of species' geographic distribution and climatic tolerances is essential in conservation biology research. In this context, data provided by both researchers and citizen scientists are crucial for biodiversity conservation plans. However, the similarity between data collected by citizen scientists and researchers may be influenced by species traits. Thus, the aim of this study was to assess the environmental niche similarity of felid species detected by professional scientists and citizen scientists, and to investigate whether this similarity could be explained by habitat type, body size, or species threat level. We found that larger and nonendangered species exhibited environmental niches identified by citizen scientists that were similar to those recorded by researchers. Larger and nonendangered species are more accessible to both researchers and citizen scientists; therefore, structured citizen science projects could focus research efforts on smaller and more geographically restricted species. However, special attention must be given to endangered species, as unstructured or poorly planned structured projects may negatively affect local populations, potentially leading to population decline.

Authors

Institutions

Publication Details

Journal
Biological Diversity
Published
2024-12-01
DOI
https://doi.org/10.1002/bod2.12027
Citations
1
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
0.92

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Citizen scientist and researcher produced similar environmental niche to larger and nonendangered Felidae species

João Carlos Nabout, Marianna Alice da Silva
1 citations
Biological Diversity
Species Distribution and Climate Change
0.92
article

Citizen scientist and researcher produced similar environmental niche to larger and nonendangered Felidae species

João Carlos Nabout, Marianna Alice da Silva
article en
1 citations

Abstract

Abstract Knowledge of species' geographic distribution and climatic tolerances is essential in conservation biology research. In this context, data provided by both researchers and citizen scientists are crucial for biodiversity conservation plans. However, the similarity between data collected by citizen scientists and researchers may be influenced by species traits. Thus, the aim of this study was to assess the environmental niche similarity of felid species detected by professional scientists and citizen scientists, and to investigate whether this similarity could be explained by habitat type, body size, or species threat level. We found that larger and nonendangered species exhibited environmental niches identified by citizen scientists that were similar to those recorded by researchers. Larger and nonendangered species are more accessible to both researchers and citizen scientists; therefore, structured citizen science projects could focus research efforts on smaller and more geographically restricted species. However, special attention must be given to endangered species, as unstructured or poorly planned structured projects may negatively affect local populations, potentially leading to population decline.

Biological DiversityVol. 1(3-4)
Universidade Estadual de Goiás (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Goiás, Ministério da Ciência, Tecnologia, Inovações e Comunicações
Life in Land
Openalex Percentile: Top 14%
Species Distribution and Climate Change
0.92
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.