Department of Botany and Plant Physiology (Botany Area), Faculty of Science, University of Málaga, Málaga 29010, Spain.
Department of Botany and Plant Physiology (Botany Area), Faculty of Science, University of Málaga, Málaga 29010, Spain.
Sci Total Environ. 2023 Oct 15;895:164983. doi: 10.1016/j.scitotenv.2023.164983. Epub 2023 Jun 21.
Understanding the effects of climate change is one of the most challenging goals for biodiversity conservation. The forests of Andalusia, in Southern Spain, are part of an important Mediterranean Basin biodiversity hotspot. However, great changes in climate are expected to occur in this region, and there is an increasing need to assess the vulnerability of its vegetation. We assess the vulnerability of twelve forest types in the region that are included in the European Directive 92/43/EEC as Habitats of Community Interest (HCI). HCI are natural habitat types which are in danger, have a small natural range, or present an outstanding example of a biogeographical regions in the European Union. We assessed vulnerability by analyzing the climate exposure level of each forest type under two global climate models (MRI-CGCM3, which predicts warmer and wetter conditions, and MIROC-ESM which predicts hotter and drier conditions), two emission scenarios (RCP4.5, a representative concentration pathway that predicts stable emissions of CO, and RCP8.5, that predicts the highest CO emissions) by the mid- and end-century time periods. The vulnerability analysis also includes the sensitivity and adaptive capacity of the dominant tree species which compose each forest type. An overall vulnerability score was calculated for each forest type, model, scenario and time period. High-elevation forest types and those with high moisture requirements were more vulnerable to climate change, while forest types dominated by more thermophilic species were less vulnerable and more resilient. The worst climate impacts were predicted in the MIROC-ESM model and RCP8.5 scenario by the end of the century (2070-2100), while the least climatic stress was obtained in the MRI-CGCM3 model and RCP4.5 scenario by the mid-century (2040-2070), which still shows high potential stress for most forest types. By the end of the century, the climate exposure of the entire forest domain will range between 32 % in the least stressful situation (MRI-CGCM3 and RCP4.5), and 98 % in the most climatically stressful situation (MIROC-ESM and RCP8.5). However, the effects of climate change will be perceptible by the mid-century, with most of the HCI forest types suffering climate stress. The "Andalusian oak forest" and the "Corylus wet forest" types were the most vulnerable to climate change, while the "Mediterranean pine forest", the "Olea and Ceratonia forests" and the "oak forests" were the least vulnerable. This assessment identifies the vulnerable forest types to climate change in the south of the Iberian Peninsula, and provides context for natural resource managers in making decisions about how to adapt forests to the impacts of climate change.
理解气候变化的影响是生物多样性保护最具挑战性的目标之一。西班牙南部的安达卢西亚森林是重要的地中海生物多样性热点地区的一部分。然而,预计该地区的气候将发生巨大变化,因此越来越需要评估其植被的脆弱性。我们评估了该地区 12 种森林类型的脆弱性,这些类型被纳入了欧洲指令 92/43/EEC 作为具有欧洲共同体利益的栖息地(HCI)。HCI 是指自然栖息地类型,这些类型处于危险之中,自然分布范围较小,或者是欧洲联盟生物地理区域的杰出代表。我们通过分析两种全球气候模型(MRI-CGCM3,预测变暖变湿的情况,以及 MIROC-ESM,预测变暖变干的情况)和两种排放情景(RCP4.5,预测 CO 稳定排放的代表性浓度途径,以及 RCP8.5,预测 CO 排放最高的情况)下每种森林类型的气候暴露水平,评估了脆弱性。脆弱性分析还包括构成每种森林类型的优势树种的敏感性和适应能力。我们为每种森林类型、模型、情景和时间段计算了一个总体脆弱性得分。高海拔森林类型和高湿度要求的森林类型更容易受到气候变化的影响,而由更嗜热物种主导的森林类型则不太脆弱,适应性更强。到本世纪末(2070-2100 年),预计 MIROC-ESM 模型和 RCP8.5 情景下的气候影响最为严重,而到本世纪中叶(2040-2070 年),MRI-CGCM3 模型和 RCP4.5 情景下的气候压力最小,但大多数森林类型仍面临高潜在压力。到本世纪末,整个森林域的气候暴露范围将在最不紧张的情况下(MRI-CGCM3 和 RCP4.5)为 32%,在最具气候压力的情况下(MIROC-ESM 和 RCP8.5)为 98%。然而,到本世纪中叶,气候变化的影响将变得明显,大多数 HCI 森林类型将受到气候压力的影响。“安达卢西亚栎林”和“Corylus 湿地林”类型对气候变化最为脆弱,而“地中海松林”、“Olea 和 Ceratonia 林”和“栎林”则最不脆弱。该评估确定了伊比利亚半岛南部对气候变化脆弱的森林类型,为自然资源管理者在如何使森林适应气候变化的影响方面做出决策提供了依据。