Potential distribution of major plant units under climate change scenarios along an aridity gradient in Namibia

L. Naftal, Vera De Cauwer, B. Strohbach
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Abstract

Objectives: Climate change is expected to have major impacts on plant species distribution worldwide. These changes can affect plant species in three ways: the timing of seasonal activities (phenology), physiology and distribution. This study aims to predict the effect of shifting climatic conditions on the major vegetation units along an aridity gradient through Namibia. Study area: Namibia’s vegetation is characterised by open woodland in the northeast to low open shrubland in the southern part of the country. These differences are a result of increasing aridity from north to south with a rainfall gradient from 100 mm to 600 mm. Namibia is projected to have an increase in annual mean temperature of 2°C by the end of the 21st century. Methods: A vegetation classification was done for 1,986 relevés using cluster analysis, a Multi-Response Permutation Procedure and indicator species analysis. The current distribution of the vegetation classes was modelled with Random Forest. Future projections for the most important climate variables were used to model the potential distribution of the vegetation units in 2080. This modelling approach used two scenarios of Representative Concentration Pathways (4.5 and 8.5) from two Global Climate Models – the IPSL–CM5A–LR and HAdGEM2–ES. Results: The predicted distribution shows a high expansion potential of Eragrostis rigidior­­-Peltophorum africanum mesic thornbush savannas, Combretum africanum-Terminalia sericea broad-leafed savannas and Senegalia mellifera-Dichrostachys cinerea degraded thornbush savannas towards the south under both scenarios. Conclusions: The model indicated the ability to classify and predict vegetation units to future climatic conditions. Half of the vegetation units are expected to undergo significant contraction. Overall, RCP8.5 conditions favour the proliferation of certain vegetation types, particularly Combretum collinum-Terminalia sericea broad-leafed savannas and Senegalia mellifera-Dichrostachys cinerea degraded thornbush savannas, potentially displacing other vegetation types. Taxonomic reference: Klaassen and Kwembeya (2013) for vascular plants, except Kyalangalilwa et al. (2013) for the genera Senegalia and Vachellia s.l. (Fabaceae). Abbreviations: CDM = Community Distribution Model; CMIP5 = Coupled Model Inter-comparison Project Phase 5; EVI = Enhanced Vegetation Index; GCM = General Circulation Model; IV = Indicator Value; ISA = Indicator Species Analysis; MAP = mean annual precipitation; MAT = mean annual temperature; MRPP = Multi-Response Permutation Procedure; NMS = Non-Metric Multidimensional Scaling; RF = Random Forest; RCPs = Representative Concentration Pathways; SDM = species distribution model.
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气候变化情景下纳米比亚干旱梯度主要植物单元的潜在分布情况
目标:气候变化预计将对全球植物物种分布产生重大影响。这些变化会从三个方面影响植物物种:季节活动的时间(物候学)、生理和分布。本研究旨在预测气候条件变化对纳米比亚干旱梯度上主要植被单元的影响。研究区域:纳米比亚植被的特点是东北部为开阔林地,南部为低矮开阔的灌木林地。这些差异是由于从北到南的降雨量梯度(从 100 毫米到 600 毫米)日益干旱造成的。预计到 21 世纪末,纳米比亚的年平均气温将上升 2°C。方法:利用聚类分析、多反应排列程序和指示物种分析,对 1 986 个 relevés进行了植被分类。植被等级的当前分布采用随机森林模型。对最重要气候变量的未来预测用于模拟 2080 年植被单元的潜在分布。这种建模方法使用了两个全球气候模型--IPSL-CM5A-LR 和 HAdGEM2-ES--中的两种代表性浓度路径方案(4.5 和 8.5)。结果:预测的分布显示,在这两种情景下,Eragrostis rigidior-Peltophorum africanum 中生荆棘灌木稀树草原、Combretum africanum-Terminalia sericea 阔叶稀树草原和 Senegalia mellifera-Dichrostachys cinerea 退化荆棘灌木稀树草原都有可能向南部扩展。结论该模型显示了根据未来气候条件对植被单元进行分类和预测的能力。一半的植被单元预计将发生显著收缩。总体而言,RCP8.5 条件有利于某些植被类型的扩散,尤其是 Combretum collinum-Terminalia sericea 阔叶稀树草原和 Senegalia mellifera-Dichrostachys cinerea 退化荆棘稀树草原,有可能取代其他植被类型。分类参考:维管植物参考 Klaassen 和 Kwembeya(2013 年),但 Senegalia 和 Vachellia s.l.(豆科)属除外。缩写:CDM = 群落分布模型;CMIP5 = 耦合模式相互比较项目第 5 阶段;EVI = 增强植被指数;GCM = 大气环流模式;IV = 指标值;ISA = 指标物种分析;MAP = 年平均降水量;MAT = 年平均气温;MRPP = 多响应置换程序;NMS = 非计量多维尺度;RF = 随机森林;RCPs = 代表性浓度路径;SDM = 物种分布模型。
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