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GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands

The Deliblato Sands Special Nature Reserve (DSSNR; Vojvodina, Serbia) is facing a fast successional process. Open sand steppe habitats, considered as regional biodiversity hotspots, have drastically decreased over the last 25 years. This study combines multi-temporal and –spectral remotely sensed da...

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Autores principales: Ivajnšič, Danijel, Devetak, Dušan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093468/
https://www.ncbi.nlm.nih.gov/pubmed/32210352
http://dx.doi.org/10.1038/s41598-020-62305-3
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author Ivajnšič, Danijel
Devetak, Dušan
author_facet Ivajnšič, Danijel
Devetak, Dušan
author_sort Ivajnšič, Danijel
collection PubMed
description The Deliblato Sands Special Nature Reserve (DSSNR; Vojvodina, Serbia) is facing a fast successional process. Open sand steppe habitats, considered as regional biodiversity hotspots, have drastically decreased over the last 25 years. This study combines multi-temporal and –spectral remotely sensed data, in-situ sampling techniques and geospatial modelling procedures to estimate and predict the potential development of open habitats and their biota from the perspective of antlions (Neuroptera, Myrmeleontidae). It was confirmed that vegetation density increased in all parts of the study area between 1992 and 2017. Climate change, manifested in the mean annual precipitation amount, significantly contributes to the speed of succession that could be completed within a 50-year period. Open grassland habitats could reach an alarming fragmentation rate by 2075 (covering 50 times less area than today), according to selected global climate models and emission scenarios (RCP4.5 and RCP8.5). However, M. trigrammus could probably survive in the DSSNR until the first half of the century, but its subsequent fate is very uncertain. The information provided in this study can serve for effective management of sand steppes, and antlions should be considered important indicators for conservation monitoring and planning.
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spelling pubmed-70934682020-03-27 GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands Ivajnšič, Danijel Devetak, Dušan Sci Rep Article The Deliblato Sands Special Nature Reserve (DSSNR; Vojvodina, Serbia) is facing a fast successional process. Open sand steppe habitats, considered as regional biodiversity hotspots, have drastically decreased over the last 25 years. This study combines multi-temporal and –spectral remotely sensed data, in-situ sampling techniques and geospatial modelling procedures to estimate and predict the potential development of open habitats and their biota from the perspective of antlions (Neuroptera, Myrmeleontidae). It was confirmed that vegetation density increased in all parts of the study area between 1992 and 2017. Climate change, manifested in the mean annual precipitation amount, significantly contributes to the speed of succession that could be completed within a 50-year period. Open grassland habitats could reach an alarming fragmentation rate by 2075 (covering 50 times less area than today), according to selected global climate models and emission scenarios (RCP4.5 and RCP8.5). However, M. trigrammus could probably survive in the DSSNR until the first half of the century, but its subsequent fate is very uncertain. The information provided in this study can serve for effective management of sand steppes, and antlions should be considered important indicators for conservation monitoring and planning. Nature Publishing Group UK 2020-03-24 /pmc/articles/PMC7093468/ /pubmed/32210352 http://dx.doi.org/10.1038/s41598-020-62305-3 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ivajnšič, Danijel
Devetak, Dušan
GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands
title GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands
title_full GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands
title_fullStr GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands
title_full_unstemmed GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands
title_short GIS-based modelling reveals the fate of antlion habitats in the Deliblato Sands
title_sort gis-based modelling reveals the fate of antlion habitats in the deliblato sands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7093468/
https://www.ncbi.nlm.nih.gov/pubmed/32210352
http://dx.doi.org/10.1038/s41598-020-62305-3
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