Using ignorance scores to explore biodiversity recording effort for multiple taxa in the Caatinga

Correia, Ricardo A.; Ruete, Alejandro; Stropp, Juliana; Malhado, Ana C. M.; Santos, Janisson W. dos; Lessa, Thainá; Alves, José A.; Ladle, Richard J.

doi:10.1016/j.ecolind.2019.105539

Cited by 14 publications

(9 citation statements)

References 54 publications

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“…This finding parallels several studies that have shown a strong geographical correlation between the presence of a research centres and a high density of biological records and conservation research (e.g. Schulman, Toivonen & Ruokolainen, 2007;Amano & Sutherland, 2013;Engemann et al, 2015;Ib añez-Alamo et al, 2017;Correia et al, 2019;. Such geographical biases in research are likely to be reduced in the future if few research capacity countries invest greater amounts of resources in science (Fazey et al, 2005b) and consequently insert more conservation qualified researchers in areas with low research capacity.…”

Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

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Drivers of taxonomic bias in conservation research: a global analysis of terrestrial mammals

Santos

Correia

Malhado

et al. 2020

Animal Conservation

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Scientific knowledge of species and the ecosystems they inhabit is the cornerstone of modern conservation. However, research effort is not spread evenly among taxa (taxonomic bias), which may constrain capacity to identify conservation risk and to implement effective responses. Addressing such biases requires an understanding of factors that promote or constrain the use of a particular species in research projects. To this end, we quantified conservation science knowledge of the world's extant non-marine mammal species (n = 4108) based on the number of published documents in journals indexed on Clarivate Analytics' Web of Science TM. We use an innovative hurdle model approach to assess the relative importance of several ecological, biogeographical and cultural factors for explaining variation in research production between species. The most important variable explaining the presence/ absence of conservation research was scientific capacity of countries within the range of the species, followed by body mass and years since the taxonomic description. Research volume (more than one document) was strongly associated with number of years since the data describing on that species, followed by scientific capacity within the range of species, high body mass and invasiveness. The threat status was weakly associated to explain the presence/absence and research volume in conservation research. These results can be interpreted as a consequence of the dynamic interplay between the perceived need for conservation research about a species and its appropriateness as a target of research. As anticipated, the scientific capacity of the countries where a species is found is a strong driver of conservation research bias, reflecting the high variation in conservation research funding and human resources between countries. Our study suggests that this bias could be most effectively reduced by a combination of investing in pioneering research, targeted funding and supporting research in countries with low scientific capacity and high biodiversity.

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Section: Discussionsupporting

confidence: 85%

Section: Discussionmentioning

confidence: 99%

Drivers of taxonomic bias in conservation research: a global analysis of terrestrial mammals

Santos

Correia

Malhado

et al. 2020

Animal Conservation

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“…For instance, traditional and indigenous people play a critical role in biodiversity conservation (Kohler & Brondizio 2017), but their interactions with nature are frequently underrepresented in digital data. These biases are likely to be similar to those associated with biological recording and citizen science (e.g., Geldmann et al 2016;Correia et al 2019b), which conservation researchers are more familiar with. Existing solutions to account for biases in these research areas may be used to inform conservation culturomics research and other emerging areas of inquiry drawing from similar data sources (Jarić et al 2020).…”

Section: Inherent Biases In the Datamentioning

confidence: 84%

“…2016; Correia et al. 2019b), which conservation researchers are more familiar with. Existing solutions to account for biases in these research areas may be used to inform conservation culturomics research and other emerging areas of inquiry drawing from similar data sources (Jarić et al.…”

Section: Challenges For Culturomics Analysesmentioning

confidence: 99%

Digital data sources and methods for conservation culturomics

Correia

Ladle

Jarić

et al. 2021

Conservation Biology

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Digital Data Sources and Methods approaches to explore connections between topics, time-series analysis for temporal data, and spatial modeling to highlight spatial patterns. Outstanding challenges associated with culturomics research include issues of interdisciplinarity, ethics, data biases, and validation. The practical guidance we offer will help conservation researchers and practitioners identify and obtain the necessary data and carry out appropriate analyses for their specific questions, thus facilitating the wider adoption of culturomics approaches for conservation applications.

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“…Although the importance and conservation of Caatinga’s biodiversity is well recognised, new gatherings of flora specimens are scarce (Correia et al 2019, Moro et al 2016). In this regard, for collected samples, a specimens’ inventory is essential for subsidising systematic analyses that are capable of promoting scientific research projects, public policies and guiding authorities’ decisions about its management and restoration (Silva et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Geographic review on the specimens of the Caatinga Biome in the Jardim Botânico do Rio de Janeiro (RB) herbarium

Magdalena

Silva

Oliveira

et al. 2019

BDJ

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This article provides a quantitative description of flora specimens stored in the Jardim Botânico of Rio de Janeiro Herbarium that belongs to the Federal Conservation Units of Caatinga’s phytogeography domain. The Caatinga represents 11% of Brazilian territory and is, in South America, the largest and most biodiverse semi-arid tropical ecoregion, yet only 5% of its territory is covered by Federal Conservation Units, with few collections of flora samples. Thus, providing a georeferenced inventory of existing collections is essential for purposes of species distribution, environmental management and conservation. The aim of this data paper is to gauge, by means of geographic coordinates correction and retrieval of the flora specimens present in the RB Herbarium, the amount of specimen gatherings performed in the Federal Conservation Units belonging to the Caatinga domain. Currently, the RB data is publicly available online at several biodiversity portals, such as our institutional database JABOT, the Reflora Virtual Herbarium, the SiBBr and the GBIF portal (Lanna et al. 2019). However, a description of the dataset that belongs to the Federal Conservation Units of Caatinga’s phytogeography domain as a whole is not yet available in the literature.

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Using ignorance scores to explore biodiversity recording effort for multiple taxa in the Caatinga

Cited by 14 publications

References 54 publications

Drivers of taxonomic bias in conservation research: a global analysis of terrestrial mammals

Drivers of taxonomic bias in conservation research: a global analysis of terrestrial mammals

Digital data sources and methods for conservation culturomics

Geographic review on the specimens of the Caatinga Biome in the Jardim Botânico do Rio de Janeiro (RB) herbarium

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