17
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Ecological assessment and environmental niche modelling of Himalayan rhubarb ( Rheum webbianum Royle) in northwest Himalaya

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In an era of anthropocene, threatened and endemic species with small population sizes and habitat specialists experience a greater global conservation concern in view of being at higher risk of extinction. Predicting and plotting appropriate potential habitats for such species is a rational method for monitoring and restoring their dwindling populations in expected territories. Ecological niche modelling (ENM) coalesces species existence sites with environmental raster layers to construct models that describe possible distributions of plant species. The present study is aimed to study the potential distribution and cultivation hotspots for reintroducing the high value, vulnerable medicinal herb ( Rheum webbianum) in the Union territories of Jammu and Kashmir and Ladakh using population attributes and ecological niche modelling approach. Sixty-three populations inventoried from twenty-eight areas display a significant change in the phytosociological attributes on account of various anthropogenic threats. The current potential habitats coincide with actual distribution records and the mean value of Area Under Curve (AUC) was 0.98 and the line of predicted omission was almost adjacent to omission in training samples, thus validating a robustness of the model. The potential habitat suitability map based on the current climatic conditions predicted a total of 103760 km 2 as suitable area for the growth of Rheum webbianum. Under the future climatic conditions, there is a significant reduction in the habitat suitability ranging from -78531.34 Km 2 (RCP 4.5 for 2050) to -77325.81 (RCP 8.5 for 2070). Furthermore, there is a slight increase in the suitable habitats under future climatic conditions, ranging from +21.99 Km 2 under RCP 8.5 (2050) to +3.14 Km 2 under RCP 4.5 (2070). The Jackknife tests indicated Precipitation of Driest Month (BIO14) as the most contributing climatic variable in governing the distribution of R. webbianum. Therefore, scientifically sound management strategies are urgently needed to save whatever populations are left in-situ to protect this species from getting extinct. Present results can be used by conservationists for mitigating the biodiversity decline and exploring undocumented populations of R. webbianum on one hand and by policymakers in implementing the policy of conservation of species with specific habitat requirements by launching species recovery programmes in future on the other.

          Related collections

          Most cited references97

          • Record: found
          • Abstract: found
          • Article: not found

          Global biodiversity scenarios for the year 2100.

          Scenarios of changes in biodiversity for the year 2100 can now be developed based on scenarios of changes in atmospheric carbon dioxide, climate, vegetation, and land use and the known sensitivity of biodiversity to these changes. This study identified a ranking of the importance of drivers of change, a ranking of the biomes with respect to expected changes, and the major sources of uncertainties. For terrestrial ecosystems, land-use change probably will have the largest effect, followed by climate change, nitrogen deposition, biotic exchange, and elevated carbon dioxide concentration. For freshwater ecosystems, biotic exchange is much more important. Mediterranean climate and grassland ecosystems likely will experience the greatest proportional change in biodiversity because of the substantial influence of all drivers of biodiversity change. Northern temperate ecosystems are estimated to experience the least biodiversity change because major land-use change has already occurred. Plausible changes in biodiversity in other biomes depend on interactions among the causes of biodiversity change. These interactions represent one of the largest uncertainties in projections of future biodiversity change.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A globally coherent fingerprint of climate change impacts across natural systems.

            Causal attribution of recent biological trends to climate change is complicated because non-climatic influences dominate local, short-term biological changes. Any underlying signal from climate change is likely to be revealed by analyses that seek systematic trends across diverse species and geographic regions; however, debates within the Intergovernmental Panel on Climate Change (IPCC) reveal several definitions of a 'systematic trend'. Here, we explore these differences, apply diverse analyses to more than 1,700 species, and show that recent biological trends match climate change predictions. Global meta-analyses documented significant range shifts averaging 6.1 km per decade towards the poles (or metres per decade upward), and significant mean advancement of spring events by 2.3 days per decade. We define a diagnostic fingerprint of temporal and spatial 'sign-switching' responses uniquely predicted by twentieth century climate trends. Among appropriate long-term/large-scale/multi-species data sets, this diagnostic fingerprint was found for 279 species. This suite of analyses generates 'very high confidence' (as laid down by the IPCC) that climate change is already affecting living systems.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              A statistical explanation of MaxEnt for ecologists

                Bookmark

                Author and article information

                Contributors
                Role: Writing – original draft
                Role: Supervision
                Role: Writing – original draft
                Role: MethodologyRole: Software
                Role: Funding acquisitionRole: SoftwareRole: Writing – review & editing
                Role: Funding acquisitionRole: Project administrationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 November 2021
                2021
                : 16
                : 11
                : e0259345
                Affiliations
                [1 ] Department of Botany, Conservation and Molecular Biology Laboratory, Baba Ghulam Shah Badshah University Rajouri, Jammu and Kashmir, India
                [2 ] Institute of Biodiversity and Conservation (IBCT), Bangalore, Karnataka, India
                [3 ] Department of Bioscience, University of Nottinghamshire, Nottingham, United Kingdom
                [4 ] Department of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia
                University of Delhi, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0003-1251-6277
                https://orcid.org/0000-0001-9441-9002
                Article
                PONE-D-20-35758
                10.1371/journal.pone.0259345
                8601538
                9ecac307-9459-496f-81d1-db5d8012d3de
                © 2021 Wani et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 November 2020
                : 15 October 2021
                Page count
                Figures: 7, Tables: 6, Pages: 24
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100010803, Department of Biotechnology, Government of West Bengal;
                Award ID: (BT/Env/BC/01/2010)
                Award Recipient :
                Department of Biotechnology, Ministry of Science of Science and Technology, Govt. of India, under Research Grant Number BT/Env/BC/01/2010. The authors would like to thank the Deanship of Scientific Research at Taif University for funding this work through Taif University Researchers Supporting Project number (TURSP - 2020/203), Taif University, Taif, Saudi Arabia.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Ecological Niches
                Ecology and Environmental Sciences
                Ecology
                Ecological Niches
                Biology and Life Sciences
                Ecology
                Habitats
                Ecology and Environmental Sciences
                Ecology
                Habitats
                Ecology and Environmental Sciences
                Conservation Science
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Medicinal Plants
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Biology and Life Sciences
                Plant Science
                Phytosociology
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Anthropogenic Climate Change
                Earth Sciences
                Atmospheric Science
                Climatology
                Climate Change
                Custom metadata
                All relevant data are within the paper and figures.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article