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Species specific vulnerability to increased drought in temperate and Mediterranean floodplain forests

漫滩 温带气候 地中海气候 温带雨林 环境科学 气候变化 地理 生态学 桤木 生物 生态系统
作者
Osvaldo Pericolo,J. Julio Camarero,Michele Colangelo,Cristina Valeriano,Raúl Sánchez‐Salguero,Marco Borghetti,Maria Castellaneta,Paola Nola,Francesco Ripullone
出处
期刊:Agricultural and Forest Meteorology [Elsevier BV]
卷期号:328: 109238-109238 被引量:4
标识
DOI:10.1016/j.agrformet.2022.109238
摘要

Floodplain forests are sensitive to climate warming and increased drought, as showed by recent oak (Quercus robur) dieback and mortality episodes. However, a comprehensive comparison of coexisting tree species under different climate settings or biomes are lacking. Herein, we compared growth rates, growth responses to climate and drought severity, and modeled climate mediated growth of oak and three coexisting tree species (ash, Fraxinus angustifolia; alder, Alnus glutinosa; elm, Ulmus minor). Two floodplain forests subjected to cooler (temperate climate, Ticino) and warmer (Mediterranean climate, Bosco Pantano) conditions in northern and southern Italy, respectively, were analyzed. Ash seemed to be the most sensitive to drought, particularly at the Mediterranean site where oak and elm growth were also negatively affected by water shortages. Alder appeared to be the least sensitive species in terms of growth variability to drought under both temperate and Mediterranean climate conditions. Furthermore, the growth model revealed the influence of soil moisture in spring and summer on the constrained growth of ash and oak and illustrated how oak growth could be severely reduced during drastic hotter droughts. Alder seemed to be the most drought-resistant species under both environmental conditions. These results could represent the first attempts in documenting the ecological consequences of drought in terms of projected climate trends in less investigated Mediterranean floodplain forests. Furthermore, these results highlight how climate and tree-ring data combined with growth models could be useful tools to detect early warning signals of growth decline and impending dieback in floodplain forests in response to dry spells.

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