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

      Empirical delineation of the forest-steppe zone is supported by macroclimate

      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

          Eurasian forest-steppes form a 9000-km-long transitional zone between temperate forests and steppes, featuring a complex mosaic of herbaceous and woody habitats. Due to its heterogeneity regarding climate, topography and vegetation, the forest-steppe zone has been divided into several regions. However, a continental-scale empirical delineation of the zone and its regions was missing until recently. Finally, a map has been proposed by Erdős et al. based on floristic composition, physiognomy, relief, and climate. By conducting predictive distribution modeling and hierarchical clustering, here we compared this expert delineation with the solely macroclimate-based predictions and clusters. By assessing the discrepancies, we located the areas where refinement of the delineation or the inclusion of non-macroclimatic predictors should be considered. Also, we identified the most important variables for predicting the existence of the Eurasian forest-steppe zone and its regions. The predicted probability of forest-steppe occurrence showed a very high agreement with the expert delineation. The previous delineation of the West Siberia region was confirmed by our results, while that of the Inner Asia region was the one least confirmed by the macroclimate-based model predictions. The appropriate delineation of the Southeast Europe region from the East Europe region should be refined by further research, and splitting the Far East region into a southern and northern subregion should also be considered. The main macroclimatic predictors of the potential distribution of the zone and its regions were potential evapotranspiration (zone and regions), annual mean temperature (regions), precipitation of driest quarter (regions) and precipitation of warmest quarter (zone), but the importance of climatic variables for prediction showed great variability among the fitted predictive distribution models.

          Related collections

          Most cited references90

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

          WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

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

            Collinearity: a review of methods to deal with it and a simulation study evaluating their performance

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

              Hierarchical Grouping to Optimize an Objective Function

              Joe Ward (1963)
                Bookmark

                Author and article information

                Contributors
                bfakos@ecolres.hu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                13 October 2023
                13 October 2023
                2023
                : 13
                : 17379
                Affiliations
                [1 ]Institute of Ecology and Botany, HUN-REN Centre for Ecological Research, ( https://ror.org/00mneww03) Alkotmány u. 2-4., 2163 Vácrátót, Hungary
                [2 ]Department of Environmental and Landscape Geography, Faculty of Science, Eötvös Loránd University, ( https://ror.org/01jsq2704) Pázmány Péter sétány 1/C., 1117 Budapest, Hungary
                [3 ]HUN-REN-UD Functional and Restoration Ecology Research Group, Egyetem tér 1., 4032 Debrecen, Hungary
                [4 ]Department of Ecology, University of Debrecen, ( https://ror.org/02xf66n48) Egyetem tér 1., 4032 Debrecen, Hungary
                Author information
                http://orcid.org/0000-0002-2905-338X
                http://orcid.org/0000-0002-4428-3327
                http://orcid.org/0000-0002-6750-0961
                Article
                44221
                10.1038/s41598-023-44221-4
                10575856
                37833345
                614cdf24-14d8-4fdd-a500-572533acf179
                © Springer Nature Limited 2023

                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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 24 June 2022
                : 5 October 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100018818, National Research, Development and Innovation Office;
                Award ID: NKFIH K 119225
                Award ID: NKFIH FK 134384
                Award Recipient :
                Funded by: ELKH Centre for Ecological Research
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                biogeography,ecological modelling,forest ecology,grassland ecology
                Uncategorized
                biogeography, ecological modelling, forest ecology, grassland ecology

                Comments

                Comment on this article