<scp>bRacatus</scp>: A method to estimate the accuracy and biogeographical status of georeferenced biological data

Arlé, Eduardo; Zizka, Alexander; Keil, Petr; Winter, Marten; Essl, Franz; Knight, Tiffany M.; Weigelt, Patrick; Jiménez-Muñoz, Marina; Meyer, Carsten

doi:10.1111/2041-210x.13629

Cited by 18 publications

(12 citation statements)

References 60 publications

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“…Countries participating in GRIIS have committed to regularly update their IAS data in this database. Additionally, recently developed supportive tools (e.g., Arlé et al., 2021; Seebens et al., 2020) could help to improve data integration and minimize uncertainties in data underlying IAS indicators.…”

Section: Discussionmentioning

confidence: 99%

“…For example, the Global Register of Introduced and Invasive Species—GRIIS—that provides species checklists is available as a baseline and mechanism for tracking species numbers at a country scale and global scope (Pagad et al., 2018, 2022). If countries participating in GRIIS commit to regularly updating their Country Checklists this resource could become a valuable basis for tracking the global spread of IAS. Rapid advances in biodiversity informatics and recently developed support tools (e.g., Arlé et al., 2021; McGeoch & Jetz, 2019; Seebens et al., 2020) can help to improve data integration and minimize uncertainties in data underlying IAS indicators. Research investment in quantifying the taxonomic and geographic variability of environmental impacts will benefit future indicators for tracking the impacts of IAS. Monitoring the adoption of both national and intergovernmental policies aimed at preventing and/or controlling IAS has been proposed at a range of administrative levels. However, the collation and provision of data on the implementation and success of management responses to IAS, at any administrative level, is a significant gap (Leadley et al., 2014).…”

Section: Discussionmentioning

confidence: 99%

“…If countries participating in GRIIS commit to regularly updating their Country Checklists this resource could become a valuable basis for tracking the global spread of IAS. • Rapid advances in biodiversity informatics and recently developed support tools (e.g., Arlé et al, 2021;Seebens et al, 2020) can help to improve data integration and minimize uncertainties in data underlying IAS indicators. • Research investment in quantifying the taxonomic and geographic variability of environmental impacts will benefit future indicators for tracking the impacts of IAS.…”

Section: Prospects For Ias Indicator Developmentmentioning

confidence: 99%

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Existing indicators do not adequately monitor progress toward meeting invasive alien species targets

Vicente

Vaz

Roigé

et al. 2022

Conservation Letters.

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Monitoring the progress parties have made toward meeting global biodiversity targets requires appropriate indicators. The recognition of invasive alien species (IAS) as a biodiversity threat has led to the development of specific targets aiming at reducing their prevalence and impact. However, indicators for adequately monitoring and reporting on the status of biological invasions have been slow to emerge, with those that exist being arguably insufficient. We performed a systematic review of the peer-reviewed literature to assess the adequacy of existing IAS indicators against a range of policy-relevant and scientifically valid properties. We found that very few indicators have most of the desirable properties and that existing indicators are unevenly spread across the components of the Driver-Pressure-State-Response and Theory of Change frameworks. We provide three possible reasons for this: (i) inadequate attention paid to the requirements of an effective IAS indicator, (ii) insufficient data required to populate and inform policy-relevant, scientifically robust indicators, or (iii) deficient investment in the development and maintenance of IAS indicators. This review includes an analysis of where current inadequacies in IAS indicators exist and provides a roadmap for the future development of indicators capable of measuring progress made toward mitigating and halting biological invasions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Prospects For Ias Indicator Developmentmentioning

confidence: 99%

See 1 more Smart Citation

Existing indicators do not adequately monitor progress toward meeting invasive alien species targets

Vicente

Vaz

Roigé

et al. 2022

Conservation Letters.

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“…This type of conflict, which occurs for many species, may be due to conflicting references, the fact that the floristic status refers to the original species names before taxonomic standardization, or errors in the references. Alternatively, GIFT data can be used via the bRacatus R package to estimate a georeferenced occurrence record's probability of being true or false and its biogeographic status based on a probabilistic framework (Arle et al, 2021).…”

Section: Distribution Of Individual Plant Speciesmentioning

confidence: 99%

GIFT—An R package to access the Global Inventory of Floras and Traits

Denelle,

Weigelt,

Kreft

2023

Methods Ecol Evol

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Advancing knowledge of biodiversity requires global open‐access databases. Having large‐scale information on plant distributions, functional traits and evolutionary history will enable the scientific community to improve its understanding of the patterns and drivers of plant diversity on a global scale. The Global Inventory of Floras and Traits (GIFT) is a global database of regional plant checklists that has proven successful in documenting biogeographical patterns of plants. Since the release of the first version of GIFT, the database kept on expanding. We introduce GIFT version 3.0, which contains 5169 plant checklists referring to 3400 regions worldwide. These checklists include a total of 371,148 land plant species, mostly vascular plants, of which 354,848 have accepted species names, and species‐level data for 109 functional traits. This new version of GIFT relies on new resources for taxonomic name standardization, is matched to a new plant phylogeny, comes with a new trait aggregation workflow and includes additional environmental variables. We also present the GIFT R‐package, which contains all necessary functions to retrieve distributional, functional, phylogenetic, and environmental data from the GIFT database. The package comes with a dedicated website, https://biogeomacro.github.io/GIFT/, which includes three vignettes to guide users in retrieving data from GIFT. The recent development of GIFT and its associated R‐package provide ecologists with access to one of the largest plant databases. This will foster research into regional to global patterns of plant diversity and their underlying mechanisms. The ability to retrieve and cite data from any previous and current instance of the GIFT database will ensure the reproducibility of studies that utilise it.

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“…As a consequence, users may unintentionally treat these georeferenced coordinates as precise point occurrences, and by extension assumes accurate knowledge of the environmental variables associated with the locality (Feeley & Silman, 2010). Along these lines, approaches to estimate a georeferenced biodiversity record's probability of being true or false have been proposed (Arle et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Artificial Hotspot Occurrence Inventory (AHOI)

Park

Xie

Thammavong

et al. 2022

Journal of Biogeography

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Aim: Species occurrence records are essential to understanding Earth's biodiversity and addressing global environmental issues, but do not always reflect actual locations of occurrence. Certain geographical coordinates are assigned repeatedly to thousands of observation/collection records. This may result from imperfect data management and georeferencing practices, and can greatly bias the inferred distribution of biodiversity and associated environmental conditions. Nonetheless, these 'biodiverse' coordinates are often overlooked in taxon-centric studies, as they are identifiable only in aggregate across taxa and datasets, and it is difficult to determine their true circumstance without in-depth, focused investigation. Here we assess highly recurring coordinates in biodiversity data to determine artificial hotspots of occurrences.Location: Global.

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bRacatus: A method to estimate the accuracy and biogeographical status of georeferenced biological data

Abstract: This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

Cited by 18 publications

References 60 publications

Existing indicators do not adequately monitor progress toward meeting invasive alien species targets

Existing indicators do not adequately monitor progress toward meeting invasive alien species targets

GIFT—An R package to access the Global Inventory of Floras and Traits

Artificial Hotspot Occurrence Inventory (AHOI)

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