气候变化下埃塞俄比亚蓝桉目前和未来的分布情况:对森林管理的影响

Gemechis B. Mosisa, Nega Tassie, Motuma Adula
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摘要

蓝桉(Eucalyptus globulus)是澳大利亚东南部特有的树种。它在澳大利亚其他地区、欧洲、非洲和美国西部都有非本地的归化分布。这项研究是埃塞俄比亚首次使用物种分布模型(SDM)来模拟和绘制该物种的时空分布图。该研究使用了全球生物多样性信息基金(GBIF)在线数据库中的 874 条出现记录和实地观察结果。利用地形、气候和土壤三个环境变量来预测物种的分布。对地形、气候和土壤栅格进行了重新采样,分辨率为 200 米。全球环流模型(GCM)HadGEM3-GC3.1 用于提取未来气候数据。该 GCM 的大气和海洋成分匹配良好,表明其地表气候漂移很小。此外,它对非洲的覆盖范围最大。使用三种气候变化情景(SSPs 1-2.6、SSPs 2-4.5、SSPs 5-8.5)预测物种的适宜栖息地。选用杰克刀检验来评估每个环境预测变量的重要性。使用接收者工作特征曲线(ROC)的曲线下面积(AUC)对模型的性能进行评估。该模型具有出色的预测性能,平均 AUC 为 0.94。海拔、生根条件、坡度、旱月降水量和温度季节性是影响球果桉分布的最重要环境因素。据预测,埃塞俄比亚高地更适合该物种生长,但在高强迫气候变化情景下,温度季节性的增加可能会减少适宜的栖息地。预计未来气候变化将为桉树创造更多合适的栖息地,这可能会鼓励在潜在分布区种植桉树。因此,要确保森林的长期健康,就必须建立健全的管理体系,优先考虑本地树木,并采取负责任的种植者或农民做法。
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Current and future distribution of Eucalyptus globulus under changing climate in Ethiopia: implications for forest management
Eucalyptus globulus is a species endemic to southeastern Australia. It has naturalized non-native ranges in other parts of Australia, Europe, Africa, and the western United States. This study is the first of its kind in Ethiopia to model and map the spatiotemporal distribution of the species using species distribution models (SDMs). A total of 874 occurrence records were used from the online Global Biodiversity Information Facility (GBIF) database and field observation. Three environmental variables, including terrain, climate, and soil were used to predict the species’ distribution. The terrain, climate, and soil raster grids were resampled to a 200-meter resolution. The Global Circulation Model (GCM) HadGEM3-GC3.1 was used to extract future climate data. This GCM has a good match between the atmospheric and oceanic components showing little drift in its surface climate. Besides, it has the best coverage of Africa. Three climate change scenarios (SSPs 1-2.6, SSPs 2-4.5, and SSPs 5-8.5) were used for predicting suitable habitat of the species. The jackknife test was chosen to assess the importance of each environmental predictor variable. The model’s performance was evaluated using the Area under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve. The model had excellent predictive performance with an average AUC of 0.94. Altitude, rooting conditions, slope, dry-month precipitation, and temperature seasonality are the most important environmental factors in shaping E. globulus distribution. Ethiopian highlands are predicted to be more suitable to the species, but the increase in temperature seasonality may reduce suitable habitat under the high-forcing climate change scenario. Climate change is expected to create more suitable habitats for eucalyptus in the future which may encourage plantations in potential distribution areas. Consequently, ensuring long-term forest health necessitates robust management systems prioritizing native trees and responsible grower or farmer practices.
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