Addressing target two of the Global Strategy for Plant Conservation by rapidly identifying plants at risk

Miller, James S.; Porter-Morgan, Holly; Stevens, Hannah; Boom, Brian M.; Krupnick, Gary A.; Acevedo‐Rodríguez, Pedro; Fleming, James H.; Gensler, Micah

doi:10.1007/s10531-012-0285-3

Cited by 41 publications

(38 citation statements)

References 23 publications

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“…For example, location data from herbarium specimens may be used to determine area of occupancy and extent of occurrence over time, which can be translated into IUCN categories to determine species status (Miller et al. , ). This approach has been used to evaluate 2009 seed plants native to Puerto Rico (Miller et al.…”

Section: Discussionmentioning

confidence: 99%

Predictability of demographic rates based on phylogeny and biological similarity

Che‐Castaldo

Neel

2018

Conservation Biology

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Lack of demographic data for most of the world's threatened species is a widespread problem that precludes viability-based status assessments for species conservation. A commonly suggested solution is to use data from species that are closely related or biologically similar to the focal species. This approach assumes similar species and populations of the same species have similar demographic rates, an assumption that has yet to be thoroughly tested. We constructed a Bayesian hierarchical model with data on 425 plant species to predict demographic rates (intrinsic rate of population growth, recruit survival, juvenile survival, adult survival, and fecundity) based on biological traits and phylogenetic relatedness. Generally, we found small effects of species-level traits (except woody polycarpic species tended to have high adult survival rates that increased with plant height) and a weak phylogenetic signal for 4 of the 5 demographic parameters examined. Patterns were stronger in adult survival and fecundity than other demographic rates; however, the unexplained variances at both the species and population levels were high for all demographic rates. For species lacking demographic data, our model produced large, often inaccurate, prediction intervals that may not be useful in a management context. Our findings do not support the assumption that biologically similar or closely related species have similar demographic rates and provide further evidence that direct monitoring of focal species and populations is necessary for informing conservation status assessments.

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Section: Discussionmentioning

confidence: 99%

Predictability of demographic rates based on phylogeny and biological similarity

Che‐Castaldo

Neel

2018

Conservation Biology

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“…Hence, over the last three decades, progress toward this target has been slow largely because the process of performing and publishing full Red List assessments is time-consuming. Accelerating global conservation assessments is urgently needed (Krupnick, Kress, & Wagner, 2009;Miller et al, 2012). While alternative methods have been developed to streamline and simplify large-scale conservation assessments (e.g., Krupnick et al, 2009;Miller et al, 2012;Ocampo-Peñuela, Jenkins, Vijay, Li, & Pimm, 2016;Ter Steege et al, 2015), none are based on the theoretical framework provided by IUCN, and they thus have little immediate impact for concrete conservation actions.…”

Section: Introductionmentioning

confidence: 99%

ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data

Dauby

Stévart

Droissart

et al. 2017

Ecology and Evolution

194

146

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The Red List Categories and the accompanying five criteria developed by the International Union for Conservation of Nature (IUCN) provide an authoritative and comprehensive methodology to assess the conservation status of organisms. Red List criterion B, which principally uses distribution data, is the most widely used to assess conservation status, particularly of plant species. No software package has previously been available to perform large‐scale multispecies calculations of the three main criterion B parameters [extent of occurrence (EOO), area of occupancy (AOO) and an estimate of the number of locations] and provide preliminary conservation assessments using an automated batch process. We developed ConR, a dedicated R package, as a rapid and efficient tool to conduct large numbers of preliminary assessments, thereby facilitating complete Red List assessment. ConR (1) calculates key geographic range parameters (AOO and EOO) and estimates the number of locations sensu IUCN needed for an assessment under criterion B; (2) uses this information in a batch process to generate preliminary assessments of multiple species; (3) summarize the parameters and preliminary assessments in a spreadsheet; and (4) provides a visualization of the results by generating maps suitable for the submission of full assessments to the IUCN Red List. ConR can be used for any living organism for which reliable georeferenced distribution data are available. As distributional data for taxa become increasingly available via large open access datasets, ConR provides a novel, timely tool to guide and accelerate the work of the conservation and taxonomic communities by enabling practitioners to conduct preliminary assessments simultaneously for hundreds or even thousands of species in an efficient and time‐saving way.

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“…, Schatz , Miller et al . ). Red List indices based on a representative subset of plant species are one approach to understanding how many plant species are threatened (Lughadha et al .…”

Section: Challenges and Opportunitiesmentioning

confidence: 97%

Conservation of Tropical Plant Biodiversity: What Have We Done, Where Are We Going?

Krupnick

2013

Biotropica

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Plant biodiversity in the tropics is threatened by intense anthropogenic pressures. Deforestation, habitat degradation, habitat fragmentation, overexploitation, invasive species, pollution, global climate change, and the synergies among them have had a major impact on biodiversity. This review paper provides a brief, yet comprehensive and broad, overview of the main threats to tropical plant biodiversity and how they differ from threats in temperate regions. The Global Strategy for Plant Conservation, an international program with 16 global targets set for 2020 aimed at understanding, conserving, and using sustainably the world's plant biodiversity, is then used as a framework to explore efforts in assessing and managing tropical plant conservation in a changing world. Progress on 13 of the 16 outcome-oriented targets of the Strategy is explored at the pantropical scale. Within each target, I address current challenges in assessing and managing tropical plant biodiversity, identify key questions that should be addressed, and suggest ways for how these challenges might be overcome.Abstract in Spanish is available in the online version of this article.

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Addressing target two of the Global Strategy for Plant Conservation by rapidly identifying plants at risk

Cited by 41 publications

References 23 publications

Predictability of demographic rates based on phylogeny and biological similarity

Predictability of demographic rates based on phylogeny and biological similarity

ConR: An R package to assist large‐scale multispecies preliminary conservation assessments using distribution data

Conservation of Tropical Plant Biodiversity: What Have We Done, Where Are We Going?

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