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      Towards a practical threat assessment methodology for crop landraces

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          Abstract

          Crop landraces (LR), the traditional varieties of crops that have been maintained for millennia by repeated cycles of planting, harvesting, and selection, are genetically diverse compared to more modern varieties and provide one of the key components for crop improvement due to the ease of trait transfer within the crop species. However, LR diversity is increasingly threatened with genetic erosion and extinction by replacement with improved cultivars, lack of incentives for farmers to maintain traditional agricultural systems, and rising threats from climate change. Their active conservation is necessary to maintain this critical resource. However, as there are hundreds of thousands of LR and millions of LR populations for crops globally, active conservation is complex and resource-intensive. To assist in implementation, it is useful to be able to prioritise LR for conservation action and an obvious means of prioritisation is based on relative threat assessment. There have been several attempts to propose LR threat assessment methods, but none thus far has been widely accepted or applied. The aim of this paper is to present a novel, practical, standardised, and objective methodology for LR threat assessment derived from the widely applied IUCN Red Listing for wild species, involving the collation of time series information for LR population range, LR population trend, market, and farmer characteristics and LR context information. The collated information is compared to a set of threat criteria and an appropriate threat category is assigned to the LR when a threshold level is reached. The proposed methodology can be applied at national, regional, or global levels and any crop group.

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          Most cited references69

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          Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool

          Abstract GeoCAT is an open source, browser based tool that performs rapid geospatial analysis to ease the process of Red Listing taxa. Developed to utilise spatially referenced primary occurrence data, the analysis focuses on two aspects of the geographic range of a taxon: the extent of occurrence (EOO) and the area of occupancy (AOO). These metrics form part of the IUCN Red List categories and criteria and have often proved challenging to obtain in an accurate, consistent and repeatable way. Within a familiar Google Maps environment, GeoCAT users can quickly and easily combine data from multiple sources such as GBIF, Flickr and Scratchpads as well as user generated occurrence data. Analysis is done with the click of a button and is visualised instantly, providing an indication of the Red List threat rating, subject to meeting the full requirements of the criteria. Outputs including the results, data and parameters used for analysis are stored in a GeoCAT file that can be easily reloaded or shared with collaborators. GeoCAT is a first step toward automating the data handling process of Red List assessing and provides a valuable hub from which further developments and enhancements can be spawned.
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            Quantification of extinction risk: IUCN's system for classifying threatened species.

            The International Union for Conservation of Nature (IUCN) Red List of Threatened Species was increasingly used during the 1980s to assess the conservation status of species for policy and planning purposes. This use stimulated the development of a new set of quantitative criteria for listing species in the categories of threat: critically endangered, endangered, and vulnerable. These criteria, which were intended to be applicable to all species except microorganisms, were part of a broader system for classifying threatened species and were fully implemented by IUCN in 2000. The system and the criteria have been widely used by conservation practitioners and scientists and now underpin one indicator being used to assess the Convention on Biological Diversity 2010 biodiversity target. We describe the process and the technical background to the IUCN Red List system. The criteria refer to fundamental biological processes underlying population decline and extinction. But given major differences between species, the threatening processes affecting them, and the paucity of knowledge relating to most species, the IUCN system had to be both broad and flexible to be applicable to the majority of described species. The system was designed to measure the symptoms of extinction risk, and uses 5 independent criteria relating to aspects of population loss and decline of range size. A species is assigned to a threat category if it meets the quantitative threshold for at least one criterion. The criteria and the accompanying rules and guidelines used by IUCN are intended to increase the consistency, transparency, and validity of its categorization system, but it necessitates some compromises that affect the applicability of the system and the species lists that result. In particular, choices were made over the assessment of uncertainty, poorly known species, depleted species, population decline, restricted ranges, and rarity; all of these affect the way red lists should be viewed and used. Processes related to priority setting and the development of national red lists need to take account of some assumptions in the formulation of the criteria.
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              Defining and identifying crop landraces

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                Author and article information

                Contributors
                Role: Role: Role: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/223849Role: Role: Role:
                URI : https://loop.frontiersin.org/people/429762Role: Role:
                URI : https://loop.frontiersin.org/people/704392Role: Role: Role:
                Role: Role: Role:
                URI : https://loop.frontiersin.org/people/2367246Role: Role: Role: Role: Role:
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                22 February 2024
                2024
                : 15
                : 1336876
                Affiliations
                [1] 1 School of Biosciences, University of Birmingham , Birmingham, United Kingdom
                [2] 2 Banco Português de Germoplasma Vegetal, Instituto Nacional de Investigação Agrária e Veterinária , Braga, Portugal
                [3] 3 Andean Food Systems, International Potato Center , Lima, Peru
                [4] 4 National Gene Bank, National Agricultural Research Centre , Kathmandu, Nepal
                [5] 5 Genebank, International Center for Agricultural Research in the Dry Areas , Terbol, Lebanon
                Author notes

                Edited by: Axel Diederichsen, Agriculture and Agri-Food Canada (AAFC), Canada

                Reviewed by: Photini V. Mylona, Hellenic Agricultural Organisation (HAO), Greece

                Jens Weibull, Swedish Board of Agriculture, Sweden

                *Correspondence: Nigel Maxted, n.maxted@ 123456bham.ac.uk
                Article
                10.3389/fpls.2024.1336876
                10917973
                38455728
                53f81253-ca1e-4948-b163-28d16599c317
                Copyright © 2024 Almeida, Barata, De Haan, Joshi, Brehm, Yazbek and Maxted

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 November 2023
                : 24 January 2024
                Page count
                Figures: 2, Tables: 2, Equations: 0, References: 70, Pages: 13, Words: 8063
                Funding
                Funded by: European Commission , doi 10.13039/501100000780;
                The author(s) declare financial support was received for the research, authorship, and/or publication of this article. Partial research funding was provided by the Horizon 2020 Framework Programme of the European Union through the Networking, Partnerships, and Tools to Enhance in situ Conservation of European Plant Genetic Resources (Farmer’s Pride) project 774271. Costs for open-access publishing were funded by the University of Birmingham.
                Categories
                Plant Science
                Original Research
                Custom metadata
                Plant Breeding

                Plant science & Botany
                conservation,crop landraces,extinction,genetic erosion,methodology,plant genetic resources,threat assessment

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