Identification of priority areas for plant conservation in Madagascar using Red List criteria: rare and threatened Pandanaceae indicate sites in need of protection

ESR Endangered Species Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsSpecials ESR 6:193-198 (2008) - DOI: https://doi.org/10.3354/esr00129 National Red Lists: the largest global market for IUCN Red List Categories and Criteria Jon Paul Rodríguez1,2,* 1Centro de Ecología, Instituto Venezolano de Investigaciones Científicas, Apdo. 20632, Caracas 1020-A,Venezuela 2Provita, Apdo. 47552, Caracas 1041-A, Venezuela *Email: jonpaul@ivic.ve ABSTRACT: The 2 major challenges currently confronting the International Union for Conservation of Nature (IUCN) with regard to the ‘red listing’ process are the taxonomic, and the geographic growth of the data base. Taxonomic growth refers to the objective of gradually assessing the risk of extinction of all the world’s species and periodically repeating such assessments. Geographic growth refers to the increasing number of people around the world interested in performing extinction risk assessments for various groups of organisms in their region or country. The taxonomic challenge, although a large and demanding task, can be addressed by expanding and strengthening the networks of experts organized within the IUCN Species Survival Commission (SSC), which represents a significant scaling-up of a well-developed, known model. However, no current structure within the IUCN has the mandate to address the geographic challenge; this requires the creation of new structures or mechanisms. At least 5 key activities must be implemented to effectively integrate the diffuse network of national assessors into the global red listing process: (1) large-scale publicizing of the Guidelines for Application of IUCN Red List Criteria at Regional Levels, and encouraging the work of national assessors; (2) establishing the IUCN Species Programme as the primary trainer and certifier of multipliers; (3) delegating the majority of training to national institutions; (4) creating a virtual data clearing house for national red lists, seamlessly linked to the global list; and (5) consolidating the IUCN Species Programme as the primary endorser of national red list assessments. Hundreds of regional and national red lists will probably be produced in the next decade using the IUCN Red List Categories and Criteria, particularly because they are now recognized by international agreements such as the 2010 biodiversity target of the Convention on Biological Diversity and the United Nation’s General Assembly Millennium Development Goals. By catalyzing this process, the IUCN would expand the information on the world’s threatened species, while strengthening local scientific capacity for generating and using these data to support conservation action. KEY WORDS: Assessment of extinction risk · Conservation priorities · IUCN Red List · National red lists · Threatened species Full text in pdf format PreviousCite this article as: Rodríguez JP (2008) National Red Lists: the largest global market for IUCN Red List Categories and Criteria. Endang Species Res 6:193-198. https://doi.org/10.3354/esr00129 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in ESR Vol. 6, No. 2. Online publication date: December 30, 2008 Print ISSN: 1863-5407; Online ISSN: 1613-4796 Copyright © 2008 Inter-Research.

The Azorean endemic arthropod fauna includes seventeen species and subspecies adapted to the subterranean environment. Most of these species are known from single lava-tubes or volcanic pits (seven out of the 17 species) and only a few are widespread (namely Trechus terceiranus and Trechus picoensis). Moreover, many of the caves are under severe impact of the main economic activity on Azores, dairy–cattle production. Consequently, it is urgent to assess the conservation status of the Azorean endemic cave arthropod fauna. The aims of this contribution are twofold: present the results of the first IUCN red-list assessment of the conservation status of Azorean endemic cave adapted arthropods (e.g. Borges et al. 2016, Borges and Amorim 2017a, Borges and Amorim 2017b, Borges and Amorim 2017c, Boieiro et al. 2018, Borges and Amorim 2018a, Borges and Amorim 2018b, Borges and Amorim 2018c, Borges and Amorim 2018d, Borges and Amorim 2018e, Rego et al. 2018) and present an overview of the major threats involving the conservation of those species. The assessments of extinction risk were based on the IUCN Red List categories and criteria and the most updated guidelines. Overall, 15 out of the 16 assessed species are threatened (CR+ EN + VU). The most diverse group, the ground-beetles (Coleoptera, Carabidae) include half of the assessed species and have five species considered as Critically Endangered (CR) (Thalassophilus azoricus, Trechus jorgensis, Trechus montanheirorum, Trechus oromii, Trechus pereirai). present the results of the first IUCN red-list assessment of the conservation status of Azorean endemic cave adapted arthropods (e.g. Borges et al. 2016, Borges and Amorim 2017a, Borges and Amorim 2017b, Borges and Amorim 2017c, Boieiro et al. 2018, Borges and Amorim 2018a, Borges and Amorim 2018b, Borges and Amorim 2018c, Borges and Amorim 2018d, Borges and Amorim 2018e, Rego et al. 2018) and present an overview of the major threats involving the conservation of those species. The assessments of extinction risk were based on the IUCN Red List categories and criteria and the most updated guidelines. Overall, 15 out of the 16 assessed species are threatened (CR+ EN + VU). The most diverse group, the ground-beetles (Coleoptera, Carabidae) include half of the assessed species and have five species considered as Critically Endangered (CR) (Thalassophilus azoricus, Trechus jorgensis, Trechus montanheirorum, Trechus oromii, Trechus pereirai). Most of the species have small extent of occurrence (EOO less than 12 km²) and reduced area of occupancy (AOO less than 12 km²). The main current threat to the species is the impact of agriculture activities. We suggest as future measures of conservation the regular monitoring of the species (every ten years) and fencing the entrances of the caves where human intrusion and disturbance has been occurring. The Azorean Government will publish legislation for the protection of the most important Azorean caves in 2018.

Brooke, M. de L. 2009. A necessary adjustment of the extinction risk associated with the red list criteria?. Avian Conservation and Ecology - Écologie et conservation des oiseaux 4(1): 1.http://dx.doi.org/10.5751/ACE-00271-040101

This article addresses the conservation status of and threats to High Atlas strict endemic vascular flora, based on IUCN Red List criteria and categories, fieldwork observation, literature review, and herbarium studies. As such, it represents the first comprehensive IUCN Red List assessment of the flora of the High Atlas. The study provides baseline data to support monitoring the status of plants in the region and represents an essential step for conservation planning. All strict endemic vascular flora species of the High Atlas were evaluated using the IUCN Red List categories and criteria, revealing that most of these species are threatened (33% Critically Endangered, 62% Endangered, 4% Vulnerable, and 1% Near Threatened). Most of these endemics have a very strict geographical distribution, with areas of occupancy <5000 km2 and extents of occurrence <500 km2. Compared with previous initiatives, our study showed that this flora has become more threatened, with a high level of extinction risk. The major threats to this endemic flora and species’ habitats include overgrazing, climate change and drought, habitat fragmentation, deforestation, overcollection and unsustainable plant exploitation, tourism and recreation activities, agriculture intensification, urbanization, and infrastructure development. Other less prevalent threats are fires and pollution. This comprehensive collection of data for the High Atlas represents a key tool for the acknowledgment and conservation of this threatened endemic flora at the national and international level. In addition, it fills knowledge gaps to guide policy-makers to prioritize conservation actions now and in response to future environmental developments in this key biodiversity area.

Stopping declines in biodiversity is critically important, but it is only a first step toward achieving more ambitious conservation goals. The absence of an objective and practical definition of species recovery that is applicable across taxonomic groups leads to inconsistent targets in recovery plans and frustrates reporting and maximization of conservation impact. We devised a framework for comprehensively assessing species recovery and conservation success. We propose a definition of a fully recovered species that emphasizes viability, ecological functionality, and representation; and use counterfactual approaches to quantify degree of recovery. This allowed us to calculate a set of 4 conservation metrics that demonstrate impacts of conservation efforts to date (conservation legacy); identify dependence of a species on conservation actions (conservation dependence); quantify expected gains resulting from conservation action in the medium term (conservation gain); and specify requirements to achieve maximum plausible recovery over the long term (recovery potential). These metrics can incentivize the establishment and achievement of ambitious conservation targets. We illustrate their use by applying the framework to a vertebrate, an invertebrate, and a woody and an herbaceous plant. Our approach is a preliminary framework for an International Union for Conservation of Nature (IUCN) Green List of Species, which was mandated by a resolution of IUCN members in 2012. Although there are several challenges in applying our proposed framework to a wide range of species, we believe its further development, implementation, and integration with the IUCN Red List of Threatened Species will help catalyze a positive and ambitious vision for conservation that will drive sustained conservation action.

Comparative extinction risk analysis-which predicts species extinction risk from correlation with traits or geographical characteristics-has gained research attention as a promising tool to support extinction risk assessment in the IUCN Red List of Threatened Species. However, its uptake has been very limited so far, possibly because existing models only predict a species' Red List category, without indicating which Red List criteria may be triggered. This prevents such approaches to be integrated into Red List assessments. We overcome this implementation gap by developing models that predict the probability of species meeting individual Red List criteria. Using data on the world's birds, we evaluated the predictive performance of our criterion-specific models and compared it with the typical criterion-blind modelling approach. We compiled data on biological traits (e.g. range size, clutch size) and external drivers (e.g. change in canopy cover) often associated with extinction risk. For each specific criterion, we modelled the relationship between extinction risk predictors and species' Red List category under that criterion using ordinal regression models. We found criterion-specific models were better at identifying threatened species compared to a criterion-blind model (higher sensitivity), but less good at identifying not threatened species (lower specificity). As expected, different covariates were important for predicting extinction risk under different criteria. Change in annual temperature was important for criteria related to population trends, while high forest dependency was important for criteria related to restricted area of occupancy or small population size. Our criteria-specific method can support Red List assessors by producing outputs that identify species likely to meet specific criteria, and which are the most important predictors. These species can then be prioritised for re-evaluation. We expect this new approach to increase the uptake of extinction risk models in Red List assessments, bridging a long-standing research-implementation gap.

The main aim of this chapter is to provide an overview of the Red Listing process as well as to answer the initial question of whether crop wild relatives (CWR) national Red Listing is as difficult as some of the plant genetic resources (PGR) community may think it is, as well as giving examples of its application in the PGR context and interpretation of its use. The IUCN Red List Criteria are quite useful and fairly easy to apply when data are available. However, in most cases, there is a considerable lack of data and a formal IUCN Red List assessment is generally thought to be impossible. In resume, the chapter reviews the process of Red Listing as well as methodological issues that are raised in order to help discussion on the application of the 2001 IUCN Red List Categories and Criteria and to contribute to the refinement and improvement of this system. The exemplar IUCN Red Listing was undertaken for the CWR species of mainland Portugal for which the required data were available.

Commentary: IUCN classifications under uncertainty

Climate change is one of the main drivers for the wave of species extinctions predicted for this century. IPCC extinction risk assessments are based in part on predicted climate-driven reductions in the geographic ranges of focal species (range loss). This builds on the well-established IUCN (2022) Red List criterion, in which a species is considered critically endangered (>50% extinction risk) if it loses ≥80% of its geographic range. However, while there is clear evidence that extinction risk is related to the absolute geographic range of a species, the empirical relationship between range loss and extinction risk is not well understood. Using fossil evidence of true extinctions over the past 23 million years, with 2600 range change observations of 1215 marine genera, this study implements a Bayesian hierarchical weighted generalized additive model to investigate how extinction risk changes with the percentage decrease in geographic range of a genus. Results clearly indicate how extinction risk increases non-linearly with range loss. Taxon dependent differences in the relationship between extinction risk and range loss indicate great potential for adapting its application in extinction risk predictions and the IUCN criteria.

Despite the ecological and economic importance of plants, the majority of plant species and their conservation status are still poorly known. Based on the limited knowledge we have of many plant species, especially those in the tropics, the use of GIS techniques can give us estimates of the degree of population subdivision to be used in conservation assessments of extinction risk. This paper evaluates how best to use the IUCN Red List Categories and Criteria to produce effective and consistent estimates of subpopulation structure based on specimen data available in the herbaria around the world. We assessed population structure through GIS-based analysis of the geographic distribution of collections, using herbarium specimen data for 11 species of Delonix sensu lato. We used four methods: grid adjacency, circular buffer, Rapoport’s mean propinquity and alpha hull, to quantify population structure according to the terms used in the IUCN Red List: numbers of subpopulations and locations, and degree of fragmentation. Based on our findings, we recommend using the circular buffer method, as it is not dependent on collection density and allows points to be added, subtracted and/or moved without altering the buffer placement. The ideal radius of the buffer is debatable; however when dispersal characteristics of the species are unknown then a sliding scale, such as the 1/10th maximum inter-point distance, is the preferred choice, as it is species-specific and not sensitive to collection density. Such quantitative measures of population structure provide a rigorous means of applying IUCN criteria to a wide range of plant species that hitherto were inaccessible to IUCN classification.

The IUCN Red List is the most authoritative framework for assessing species' extinction risk and is widely used in conservation policies and decision‐making. Yet for tropical insects, the IUCN Red List Criteria are rarely implemented, partly due to the misconception that all five Red List Criteria must be used. As most tropical insect taxa only have occurrence data and lack information on population demographics, among the five Criteria, only Criterion B (i.e. geographic range) can usually be applied. As a case study, we performed a regional (within Sabah, Malaysian Borneo) and global Red List assessment using Criterion B on a dataset of over 30,000 occurrence records of 159 dung beetle species from Sabah. At the regional level, we assessed 10 Endangered, 7 Vulnerable, 33 Near Threatened, 24 Least Concern, 84 Data Deficient and 1 Not Applicable species. At the global level, we assessed 7 Endangered, 10 Vulnerable, 23 Near Threatened, 41 Least Concern and 78 Data Deficient species. We found that incorporating expert validation, particularly regarding species' rarity in field surveys, ecology and habitat associations, was critical to performing and finalising these assessments. While increased sampling, species descriptions and data mobilisation efforts are essential for documenting patterns in insect declines, we show that Red List assessments of tropical insects are feasible, and necessary, to increase their representation in conservation priorities.

The identification of species at risk of extinction is a central goal of conservation. As the use of data compiled for IUCN Red List assessments expands, a number of misconceptions regarding the purpose, application and use of the IUCN Red List categories and criteria have arisen. We outline five such classes of misconception; the most consequential drive proposals for adapted versions of the criteria, rendering assessments among species incomparable. A key challenge for the future will be to recognize the point where understanding has developed so markedly that it is time for the next generation of the Red List criteria. We do not believe we are there yet but, recognizing the need for scrutiny and continued development of Red Listing, conclude by suggesting areas where additional research could be valuable in improving the understanding of extinction risk among species.

The establishment of baseline IUCN Red List assessments for plants is a crucial step in conservation planning. Nowhere is this more important than in biodiversity hotspots that are subject to significant anthropogenic pressures, such as Madagascar. Here, all Madagascar palm species are assessed using the IUCN Red List categories and criteria, version 3.1. Our results indicate that 83% of the 192 endemic species are threatened, nearly four times the proportion estimated for plants globally and exceeding estimates for all other comprehensively evaluated plant groups in Madagascar. Compared with a previous assessment in 1995, the number of Endangered and Critically Endangered species has substantially increased, due to the discovery of 28 new species since 1995, most of which are highly threatened. The conservation status of most species included in both the 1995 and the current assessments has not changed. Where change occurred, more species have moved to lower threat categories than to higher categories, because of improved knowledge of species and their distributions, rather than a decrease in extinction risk. However, some cases of genuine deterioration in conservation status were also identified. Palms in Madagascar are primarily threatened by habitat loss due to agriculture and biological resource use through direct exploitation or collateral damage. The recent extension of Madagascar’s protected area network is highly beneficial for palms, substantially increasing the number of threatened species populations included within reserves. Notably, three of the eight most important protected areas for palms are newly designated. However, 28 threatened and data deficient species are not protected by the expanded network, including some Critically Endangered species. Moreover, many species occurring in protected areas are still threatened, indicating that threatening processes persist even in reserves. Definitive implementation of the new protected areas combined with local community engagement are essential for the survival of Madagascar’s palms.

Population reductions are often used to assess extinction risk of species in the IUCN Red List. Guidelines for Red List assessments describe specific methods for calculating the amount of reduction for species with strongly fluctuating populations. Recently, an alternative approach that involves expert opinion has been suggested for calculating population reduction in insect species. We argue that, while populations with high temporal variability do present challenges, the alternative suggestion is unnecessary, and inconsistent with the IUCN Red List Categories and Criteria. Consistent application of standardized methods for calculating population reductions allows robust and objective assessment of extinction risk faced by invertebrate species.

Many citizen scientists are highly motivated to help address the current extinction crisis. Their work is making valuable contributions to protecting species by raising awareness, identifying species occurrences, assessing population trends, and informing direct management actions, such as captive breeding. However, clear guidance is lacking about how to use existing citizen science data sets and how to design effective citizen science programs that directly inform extinction risk assessments and resulting conservation actions based on the International Union for Conservation of Nature (IUCN) Red List criteria. This may be because of a mismatch between what citizen science can deliver to address extinction risk and the reality of what is needed to inform threatened species listing based on IUCN criteria. To overcome this problem, we examined each IUCN Red List criterion (A–E) relative to the five major types of citizen science outputs relevant to IUCN assessments (occurrence data, presence–absence observations, structured surveys, physical samples, and narratives) to recommend which outputs are most suited to use when applying the IUCN extinction risk assessment process. We explored real‐world examples of citizen science projects on amphibians and fungi that have delivered valuable data and knowledge for IUCN assessments. We found that although occurrence data are routinely used in the assessment process, simply adding more observations of occurrence from citizen science information may not be as valuable as inclusion of more nuanced data types, such as presence–absence data or information on threats from structured surveys. We then explored the characteristics of citizen science projects that have already delivered valuable data to support assessments. These projects were led by recognized experts who champion and validate citizen science data, thereby giving greater confidence in its accuracy. We urge increased recognition of the value of citizen science data within the assessment process.