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      Pinalia elata (Eriinae) - taxonomic and conservation assessments of a lesser-known narrow endemic orchid from Peninsular Malaysia

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          Abstract

          Abstract Pinalia elata is an attractive endemic species of Peninsular Malaysia, known from only six localities within the Titiwangsa mountain range where it is confined to montane vegetation. However, four of these localities are now threatened by anthropogenic factors, raising concerns about the ongoing survival of this endemic species in the wild. Despite efforts to understand the conservation status of Malaysian orchid species, there remains much work to be done, particularly for endemic species confined to remote and mountainous areas. Therefore, this paper provides a detailed morphological description, photographic illustrations for easy identification of the species, and a conservation assessment based on the IUCN Classification Criteria. Morphologically, P. elata can be easily distinguished from the other Pinalia species in Peninsular Malaysia by its erect inflorescences with well-spaced, closed flowers along the apical half, subtended by prominently large purplish-brown bracts. The flowers resemble buds with the labellum hidden by the petals and sepals. A preliminary risk-of-extinction assessment categorizes P. elata as critically endangered, CR A2acd C2a(i) D, according to the IUCN Red List Categories and Criteria.

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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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            Fingerprints of global warming on wild animals and plants.

            Over the past 100 years, the global average temperature has increased by approximately 0.6 degrees C and is projected to continue to rise at a rapid rate. Although species have responded to climatic changes throughout their evolutionary history, a primary concern for wild species and their ecosystems is this rapid rate of change. We gathered information on species and global warming from 143 studies for our meta-analyses. These analyses reveal a consistent temperature-related shift, or 'fingerprint', in species ranging from molluscs to mammals and from grasses to trees. Indeed, more than 80% of the species that show changes are shifting in the direction expected on the basis of known physiological constraints of species. Consequently, the balance of evidence from these studies strongly suggests that a significant impact of global warming is already discernible in animal and plant populations. The synergism of rapid temperature rise and other stresses, in particular habitat destruction, could easily disrupt the connectedness among species and lead to a reformulation of species communities, reflecting differential changes in species, and to numerous extirpations and possibly extinctions.
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              The potential negative impacts of global climate change on tropical montane cloud forests

              Pru Foster (2001)
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                Author and article information

                Journal
                lankesteriana
                Lankesteriana
                Lankesteriana
                Lankester Botanical Garden, University of Costa Rica (Cartago, Cartago, Costa Rica, Costa Rica )
                1409-3871
                August 2023
                : 23
                : 2
                : 145-159
                Affiliations
                [5] orgnameForestry Department of Peninsular Malaysia orgdiv1Silviculture & Forest Biodiversity Conservation Division orgdiv2Forest Biodiversity Section Malaysia
                [3] orgnameForestry Department of Peninsular Malaysia orgdiv1Silviculture & Forest Biodiversity Conservation Division Malaysia
                [6] orgnameResorts World Genting Awana orgdiv1Environmental Services Department Malaysia rusea@ 123456upm.edu.my
                [2] orgnameMalaysian Agricultural Research and Development Institute (MARDI) Headquarters orgdiv1Agrobiodiversity and Environment Research Centre orgdiv2Resource Utilisation and Agrobiodiversity Conservation Programme (BE2) Malaysia
                [1] orgnameUniversiti Putra Malaysia orgdiv1Faculty of Science orgdiv2Department of Biology Malaysia edwardentalai@ 123456upm.edu.my
                [4] orgnameForestry Department of Peninsular Malaysia orgdiv1Silviculture & Forest Biodiversity Conservation Division orgdiv2Forest Biodiversity Control Section Malaysia
                Article
                S1409-38712023000200145 S1409-3871(23)02300200145
                10.15517/lank.v23i2.55511
                0f27bb1e-303b-4f6a-aec7-263c378d989a

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 International License.

                History
                : 13 February 2023
                : 11 May 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 40, Pages: 15
                Product

                SciELO Costa Rica

                Categories
                Article

                Orchidaceae,riesgo de extinción,taxonomía,Endemism,Bosque nuboso,extinction risk,endemismo,especie de tierras altas,Genting Highlands,highland species,mossy forest,taxonomy

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