Impacts of climate change scenarios on European ash tree (Fraxinus excelsior L.) in Turkey
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Aber, 1991, Factors controlling nitrogen cycling and nitrogen saturation in northern temperate forest ecosystems, Ecol. Appl., 1, 303, 10.2307/1941759
Abolmaali, 2018, MaxEnt modeling for predicting suitable habitats and identifying the effects of climate change on a threatened species, Daphne mucronata, in central Iran, Ecol. Inf., 43, 116, 10.1016/j.ecoinf.2017.10.002
Anderegg, 2015, Tree mortality from drought, insects, and their interactions in a changing climate, New Phytol., 208, 674, 10.1111/nph.13477
Aponte, 2013, Tree species effects on nutrient cycling and soil biota: a feedback mechanism favouring species coexistence, For. Ecol. Manage., 309, 36, 10.1016/j.foreco.2013.05.035
Bellard, 2012, Impacts of climate change on the future of biodiversity, Ecol. Lett., 15, 365, 10.1111/j.1461-0248.2011.01736.x
Benzing, 1998, Vulnerabilities of tropical forests to climate change: the significance of resident epiphytes, 379
Benito Garzon, 2011, Intra-specific variability and plasticity influence potential tree species distributions under climate change, Glob. Ecol. Biogeogr., 20, 766, 10.1111/j.1466-8238.2010.00646.x
Benito Garzon, 2019, ΔTrait SDMs: species distribution models that account for local adaptation and phenotypic plasticity, New Phytol., 222, 1757, 10.1111/nph.15716
Braunisch, 2013, Selecting from correlated climate variables: a major source of uncertainty for predicting species distributions under climate change, Ecography, 36, 971, 10.1111/j.1600-0587.2013.00138.x
Brundu, G., Richardson, D. M. (2016). Planted forests and invasive alien trees in Europe: a Code for managing existing and future plantings to mitigate the risk of negative impacts from invasions.
Choi, 2011, Predicting forest cover changes in future climate using hydrological and thermal indices in South Korea, Climate Res., 49, 229, 10.3354/cr01026
Dalfes, 2007
Dyderski, 2018, How much does climate change threaten European forest tree species distributions?, Glob. Change. Biol., 24, 1150, 10.1111/gcb.13925
Elith, 2006, Novel methods improve prediction of species’ distributions from occurrence data, Ecography, 29, 129, 10.1111/j.2006.0906-7590.04596.x
Elith, 2011, A statistical explanation of MaxEnt for ecologists, Divers. Distrib., 17, 43, 10.1111/j.1472-4642.2010.00725.x
Ertugrul, M., Varol, T., Kaygin, A.T., Ozel, H.B. (2017). The relationship between climate change and forest disturbance in Turkey. FEB-Fresenius Environ. Bull., 4064.
ESRI, 2017
Euforgen (2020). http://www.euforgen.org/species/fraxinus-excelsior/ (access on 09/12/2020).
Gárate-Escamilla, 2019, Range-wide variation in local adaptation and phenotypic plasticity of fitness-related traits in Fagus sylvatica and their implications under climate change, Glob. Ecol. Biogeogr., 28, 1336, 10.1111/geb.12936
Garcia, 2013, Predicting geographic distribution and habitat suitability due to climate change of selected threatened forest tree species in the Philippines, Appl. Geogr., 44, 12, 10.1016/j.apgeog.2013.07.005
Golicher, 2012, Effects of climate change on the potential species richness of Mesoamerican forests, Biotropica, 44, 284, 10.1111/j.1744-7429.2011.00815.x
Graham, 2003, Confronting multicollinearity in ecological multiple regression, Ecology, 84, 2809, 10.1890/02-3114
Hijmans, 2005, Very high resolution interpolated climate surfaces for global land areas, Int. J. Climatol.: J. R Meteorol. Soc., 25, 1965, 10.1002/joc.1276
IPCC, 2017
Iverson, 2016, Potential species replacements for black ash (Fraxinus nigra) at the confluence of two threats: emerald ash borer and a changing climate, Ecosystems, 19, 248, 10.1007/s10021-015-9929-y
Koval, 2020, The radial increment of European ash (Fraxinus excelsior L.) under climate change, Ukraine, J. For. Sci., 66, 288, 10.17221/37/2020-JFS
Laurent, 2004, Refining vegetation simulation models: from plant functional types to bioclimatic affinity groups of plants, J. Veg. Sci., 15, 739, 10.1658/1100-9233(2004)015[0739:RVSMFP]2.0.CO;2
Lenihan, 2003, Climate change effects on vegetation distribution, carbon, and fire in California, Ecol. Appl., 13, 1667, 10.1890/025295
Lenihan, 2008, Response of vegetation distribution, ecosystem productivity, and fire to climate change scenarios for California, Clim. Change, 87, 215, 10.1007/s10584-007-9362-0
Lindner, 2010, Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems, For. Ecol. Manage., 259, 698, 10.1016/j.foreco.2009.09.023
Maiorano, 2011, The future of terrestrial mammals in the Mediterranean basin under climate change, Philos. Trans. R Soc. B: Biol. Sci., 366, 2681, 10.1098/rstb.2011.0121
Marchi, 2018, Sustainable Forest Operations (SFO): a new paradigm in a changing world and climate, Sci. Total Environ., 634, 1385, 10.1016/j.scitotenv.2018.04.084
Mueller, 2012, Tree species effects on coupled cycles of carbon, nitrogen, and acidity in mineral soils at a common garden experiment, Biogeochemistry, 111, 601, 10.1007/s10533-011-9695-7
Oberle, 2018, Dissecting the effects of diameter on wood decay emphasizes the importance of cross-stem conductivity in Fraxinus americana, Ecosystems, 21, 85, 10.1007/s10021-017-0136-x
Opdam, 2004, Climate change meets habitat fragmentation: linking landscape and biogeographical scale levels in research and conservation, Biol. Conserv., 117, 285, 10.1016/j.biocon.2003.12.008
Palik, 2011, Fraxinus nigra (black ash) dieback in Minnesota: regional variation and potential contributing factors, For. Ecol. Manage., 261, 128, 10.1016/j.foreco.2010.09.041
Pecl, 2017, Biodiversity redistribution under climate change: Impacts on ecosystems and human well-being, Science, 355, 10.1126/science.aai9214
Phillips, 2006, Maximum entropy modeling of species geographic distributions, Ecol. Model., 190, 231, 10.1016/j.ecolmodel.2005.03.026
Phillips, 2008, Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation, Ecography, 31, 161, 10.1111/j.0906-7590.2008.5203.x
Popp, 2017, Land-use futures in the shared socio-economic pathways, Global Environ. Change., 42, 331, 10.1016/j.gloenvcha.2016.10.002
Qin, 2017, Maxent modeling for predicting impacts of climate change on the potential distribution of Thuja sutchuenensis Franch., an extremely endangered conifer from southwestern China, Global Ecol. Conserv., 10, 139, 10.1016/j.gecco.2017.02.004
Reed, 2011, Interacting effects of phenotypic plasticity and evolution on population persistence in a changing climate, Conserv. Biol., 25, 56, 10.1111/j.1523-1739.2010.01552.x
Reeves, 2014, Estimating climate change effects on net primary production of rangelands in the United States, Clim. Change, 126, 429, 10.1007/s10584-014-1235-8
Reyer, 2013, A plant's perspective of extremes: terrestrial plant responses to changing climatic variability, Glob. Change Biol., 19, 75, 10.1111/gcb.12023
Riera, 1998, Analysis of large-scale spatial heterogeneity in vegetation indices among North American landscapes, Ecosystems, 1, 268, 10.1007/s100219900021
Rogelj, 2018, Scenarios towards limiting global mean temperature increase below 1.5 C. Nature, Clim. Change, 8, 325
Rojas-Soto, 2012, Forecasting cloud forest in eastern and southern Mexico: conservation insights under future climate change scenarios, Biodivers. Conserv., 21, 2671, 10.1007/s10531-012-0327-x
Ruiz-Labourdette, 2012, Forest composition in Mediterranean mountains is projected to shift along the entire elevational gradient under climate change, J. Biogeogr., 39, 162, 10.1111/j.1365-2699.2011.02592.x
Sáenz-Romero, 2017, Adaptive and plastic responses of Quercus petraea populations to climate across Europe, Glob. Change Biol., 23, 2831, 10.1111/gcb.13576
Scheffers, 2016, The broad footprint of climate change from genes to biomes to people, Science, 354, 10.1126/science.aaf7671
Seidl, 2014, Increasing forest disturbances in Europe and their impact on carbon storage, Nat. Clim. Change., 4, 806, 10.1038/nclimate2318
Stocker, T.F., Qin, D., Plattner, G.K., Tignor, M.M., Allen, S.K., Boschung, J., et al. (2014). Climate Change 2013: The physical science basis. In: Contribution of Working Group I to the Fifth Assessment Report of IPCC the Intergovernmental Panel on Climate Change.
Talu, N., Özden, M.S., Özgün, S., Dougherty, W., Fencl, A. (2010). Turkey’s National Climate Change Adaptation Strategy and Action Plan (Draft). TR Ministry of Environment and Urbanization, General Directorate of Environmental Management, Department of Climate Change, Ankara.
Toczydlowski, 2020, Temperature and water-level effects on greenhouse gas fluxes from black ash (Fraxinus nigra) wetland soils in the Upper Great Lakes region, USA, Appl. Soil Ecol., 153, 10.1016/j.apsoil.2020.103565
Torres-Dowdall, 2012, Local adaptation and the evolution of phenotypic plasticity in Trinidadian guppies (Poecilia reticulata), Evol.: Int. J. Org. Evol., 66, 3432, 10.1111/j.1558-5646.2012.01694.x
Trájer, 2016, The comparison of the potential effect of climate change on the segment growth of Fraxinus ornus, Pinus nigra and Ailanthus altissima on shallow, calcareous soils, Appl. Ecol. Environ. Res., 14, 161, 10.15666/aeer/1403_161182
Walker, 2019, Decadal biomass increment in early secondary succession woody ecosystems is increased by CO2 enrichment, Nat. Commun., 10, 1, 10.1038/s41467-019-08348-1