Mapping ignorance to uncover shortfalls in the knowledge on global Orthoptera distribution

Understanding the spatiotemporal distribution of species is fundamental for ecology, evolution and conservation. However, this and other aspects of biodiversity knowledge suffer from shortcomings and biases. Quantifying and mapping biodiversity knowledge shortfalls is therefore crucial to ascertain the current quality and completeness of biodiversity data, prioritize sites for (re)sampling, or plan conservation interventions. Here, we compile a comprehensive dataset of Orthoptera occurrences, and use it to create a global ‘ignorance map’ based on taxonomic, survey and temporal completeness, and on survey and temporal evenness of the inventories. We hypothesize that knowledge of Orthopteran biodiversity is relatively poorer in tropical regions compared to temperate regions, and in the south compared to the northern hemisphere. Due to biocultural factors, we expect regions in the tropics and the Global South to have lower levels of completeness and evenness in time and space for all the studied aspects of biodiversity information. Our findings show gaps in the knowledge of orthopteran distributions, which are characterized by low survey and temporal evenness in tropical regions, but also in many temperate regions (e.g., most of the countries in temperate Asia). The combination of multiple dimensions of biodiversity knowledge (taxonomic, spatial and temporal) reveals that biogeographic interpretations based on only one component can lead to an illusion of completeness. We believe that the novel framework used in our study can guide future research towards building more accessible maps of biogeographical ignorance for entire groups.

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Publication Details

Journal
npj Biodiversity
Published
2024-08-30
DOI
https://doi.org/10.1038/s44185-024-00059-1
Citations
4
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
3.68

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article

Mapping ignorance to uncover shortfalls in the knowledge on global Orthoptera distribution

Richard J. Ladle, Thadeu Sobral‐Souza, RODRIGO ANTÔNIO CASTRO-SOUZA, José Alexandre Felizola Diniz‐Filho et al.
4 citations
npj Biodiversity
Species Distribution and Climate Change
3.68
article

Mapping ignorance to uncover shortfalls in the knowledge on global Orthoptera distribution

Richard J. Ladle, Thadeu Sobral‐Souza, RODRIGO ANTÔNIO CASTRO-SOUZA, José Alexandre Felizola Diniz‐Filho, Neucir Szinwelski, Geiziane Tessarolo, Joaquín Hortal, Juliana Stropp
article en
4 citations

Abstract

Understanding the spatiotemporal distribution of species is fundamental for ecology, evolution and conservation. However, this and other aspects of biodiversity knowledge suffer from shortcomings and biases. Quantifying and mapping biodiversity knowledge shortfalls is therefore crucial to ascertain the current quality and completeness of biodiversity data, prioritize sites for (re)sampling, or plan conservation interventions. Here, we compile a comprehensive dataset of Orthoptera occurrences, and use it to create a global ‘ignorance map’ based on taxonomic, survey and temporal completeness, and on survey and temporal evenness of the inventories. We hypothesize that knowledge of Orthopteran biodiversity is relatively poorer in tropical regions compared to temperate regions, and in the south compared to the northern hemisphere. Due to biocultural factors, we expect regions in the tropics and the Global South to have lower levels of completeness and evenness in time and space for all the studied aspects of biodiversity information. Our findings show gaps in the knowledge of orthopteran distributions, which are characterized by low survey and temporal evenness in tropical regions, but also in many temperate regions (e.g., most of the countries in temperate Asia). The combination of multiple dimensions of biodiversity knowledge (taxonomic, spatial and temporal) reveals that biogeographic interpretations based on only one component can lead to an illusion of completeness. We believe that the novel framework used in our study can guide future research towards building more accessible maps of biogeographical ignorance for entire groups.

npj BiodiversityVol. 3(1)
Universidade Estadual do Oeste do Paraná (BR), Universidade Federal de Mato Grosso (BR), Museo Nacional de Ciencias Naturales (ES), Universidade Federal de Goiás (BR), Universidade Federal de Alagoas (BR), Universität Trier (DE)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Fundação de Amparo à Pesquisa do Estado de Mato Grosso, Universidade Federal de Mato Grosso do Sul, Agencia Estatal de Investigación
Reduced inequalities
Openalex Percentile: Top 7%
Species Distribution and Climate Change
3.68
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