Vegetation Islands on Continents and the Impact of Climate Change—Case Study of the Alpine-Subalpine Belt of the Romanian Carpathians, and a Flagship Species Carex curvula
- 1 Taxonomy and Ecology Department, Institute of Biological Research—Subsidiary of the National Institute for Research and Development in Biological Sciences, Cluj-Napoca, Romania
Abstract
Alpine and subalpine belts on continental Europe can be viewed as “islands” of cold-adapted vegetation surrounded by a “sea” of thermophilic species. Carex curvula , a flagship species that dominates high-elevation grasslands, provides an ideal case study for understanding the broader impacts of climate change on these alpine “vegetation islands”. We built species distribution models for Carex curvula using the biomod2 package in R, testing multiple modeling techniques (Random Forest, Boosted Regression Trees, XGBoost, etc.) with two uncorrelated climatic variables (mean temperature of the coldest quarter and precipitation of the driest month). Model performance, evaluated via ROC (AUC), showed Random Forest as the best algorithm. Future simulations, based on CMIP6 global circulation models (MRI-ESM2-0, UKESM1.0-LL) and mid-range (ssp245) versus high (ssp585) emissions scenarios for 2041-2060 and 2061-2080, consistently forecast significant reductions (10% - 45% to 35% - 80% lost) in climatically suitable areas for Carex curvula . High-elevation habitats in the Romanian Carpathians and the Alps remain potential strongholds, although intensifying competition from thermophilic species may further challenge Carex curvula ’s persistence. These findings highlight the vulnerability of alpine “vegetation islands” to climate change and reinforce the value of Carex curvula as a model organism for projecting broader ecological shifts in Europe’s high-altitude environments.
- Hurdu, B., Escalante, T., Pușcaș, M., Novikoff, A., Bartha, L. and Zimmermann, N.E. (2016) Exploring the Different Facets of Plant Endemism in the South-Eastern Carpathians: A Manifold Approach for the Determination of Biotic Elements, Centres and Areas of Endemism. Biological Journal of the Linnean Society , 119, 649-672. https://doi.org/10.1111/bij.12902
- Engler, R., Randin, C.F., Thuiller, W., Dullinger, S., Zimmermann, N.E., Araújo, M.B., et al. (2011) 21st Century Climate Change Threatens Mountain Flora Unequally across Europe. Global Change Biology , 17, 2330-2341. https://doi.org/10.1111/j.1365-2486.2010.02393.x
- Gottfried, M., Pauli, H., Futschik, A., Akhalkatsi, M., Barančok, P., Benito Alonso, J.L., et al. (2012) Continent-Wide Response of Mountain Vegetation to Climate Change. Nature Climate Change , 2, 111-115. https://doi.org/10.1038/nclimate1329
- Pauli, H., Gottfried, M., Dullinger, S., Abdaladze, O., Akhalkatsi, M., Alonso, J.L.B., et al. (2012) Recent Plant Diversity Changes on Europe’s Mountain Summits. Science , 336, 353-355. https://doi.org/10.1126/science.1219033
- Stoica, I., Hodor, N., Tudose, T. and Coldea, G. (2017) Expected Changes in the Floristic Structure of Hygro-Cryophilic and Snowbed Plant Communities from the Romanian Carpathians, Caused by Climate Change and Human Impact. Contribuţii Botanice , 52, 163-181. https://doi.org/10.24193/contrib.bot.52.12
- Guisan, A. and Zimmermann, N.E. (2000) Predictive Habitat Distribution Models in Ecology. Ecological Modelling , 135, 147-186. https://doi.org/10.1016/s0304-3800(00)00354-9
- GBIF.org (2024) GBIF Occurrence Download. Carex curvula . GBIF.org. https://doi.org/10.15468/dl.exh5c2
- Pușcaș, M. (2005) Carpathian Chorology of Carex curvula All, within European Al-pine System. Contribuții Botanice , 40, 5-14.
- Puşcaş, M., Taberlet, P. and Choler, P. (2008) No Positive Correlation between Species and Genetic Diversity in European Alpine Grasslands Dominated by Carex curvula . Diversity and Distributions , 14, 852-861. https://doi.org/10.1111/j.1472-4642.2008.00489.x
- Barbet‐Massin, M., Jiguet, F., Albert, C.H. and Thuiller, W. (2012) Selecting Pseudo‐absences for Species Distribution Models: How, Where and How Many? Methods in Ecology and Evolution , 3, 327-338. https://doi.org/10.1111/j.2041-210x.2011.00172.x
- Inman, R., Franklin, J., Esque, T. and Nussear, K. (2021) Comparing Sample Bias Correction Methods for Species Distribution Modeling Using Virtual Species. Ecosphere , 12, e03422. https://doi.org/10.1002/ecs2.3422