Jinga Percy, Manyangadze Tawanda
Biological Sciences Department Bindura University of Science Education Bindura Zimbabwe.
Geosciences Department Bindura University of Science Education Bindura Zimbabwe.
Ecol Evol. 2024 Apr 29;14(5):e11314. doi: 10.1002/ece3.11314. eCollection 2024 May.
Climate change is predicted to disproportionately impact sub-Saharan Africa, with potential devastating consequences on plant populations. Climate change may, however, impact intraspecific taxa differently. The aim of the study was to determine the current distribution and impact of climate change on three varieties of , that is, var. , var. and var. . Ensemble species distribution models (SDMs) were built in "biomod2" using 66, 45, and 137 occurrence records for var. , var. , and var. , respectively. The ensemble SDMs were projected to 2041-2060 and 2081-2100 under three general circulation models (GCMs) and two shared socioeconomic pathways (SSPs). The three GCMs were the Canadian Earth System Model version 5, the Institut Pierre-Simon Laplace Climate Model version 6A Low Resolution, and the Model for Interdisciplinary Research on Climate version 6. The suitable habitat of var. predominantly occurs in the Sudanian and Zambezian phytochoria while that of var. largely occurs in the Sudanian phytochorion. The suitable habitat of var. mainly occurs in the Zambezian phyotochorion. There is coexistence of var. and var. in the Sudanian phytochorion while var. and var. coexist in the Zambezian phytochorion. Under SSP2-4.5 in 2041-2060 and averaged across the three GCMs, the suitable habitat expanded by 33.8% and 119.7% for var. and var. , respectively. In contrast, the suitable habitat of var. contracted by -8.4%. Similar trends were observed in 2041-2060 under SSP5-8.5 [var. (38.6%), var. (139.0%), and var. (-10.4%)], in 2081-2100 under SSP2-4.5 [var. (4.6%), var. (153.4%), and var. (-14.4%)], and in 2081-2100 under SSP5-8.5 [var. (49.3%), var. (233.4%), and var. (-30.7%)]. Different responses to climate change call for unique management and conservation decisions for the varieties.
预计气候变化对撒哈拉以南非洲的影响尤为严重,可能会给植物种群带来毁灭性后果。然而,气候变化对种内分类群的影响可能有所不同。本研究的目的是确定气候变化对三种[植物名称]变种的当前分布及影响,即变种[变种名称1]、变种[变种名称2]和变种[变种名称3]。利用变种[变种名称1]、变种[变种名称2]和变种[变种名称3]分别对应的66、45和137个出现记录,在“biomod2”中构建了集合物种分布模型(SDMs)。在三种通用环流模型(GCMs)和两种共享社会经济路径(SSPs)下,将集合SDMs预测到2041 - 2060年和2081 - 2100年。这三种GCMs分别是加拿大地球系统模型第5版、皮埃尔 - 西蒙·拉普拉斯研究所气候模型第6A低分辨率版以及气候跨学科研究模型第6版。变种[变种名称1]的适宜栖息地主要出现在苏丹植物区系和赞比西植物区系,而变种[变种名称2]的适宜栖息地主要出现在苏丹植物区系。变种[变种名称3]的适宜栖息地主要出现在赞比西植物区系。变种[变种名称1]和变种[变种名称2]在苏丹植物区系共存,变种[变种名称2]和变种[变种名称3]在赞比西植物区系共存。在2041 - 2060年的SSP2 - 4.5情景下,对三种GCMs进行平均,变种[变种名称1]和变种[变种名称2]的适宜栖息地分别扩大了33.8%和119.7%。相比之下,变种[变种名称3]的适宜栖息地收缩了 - 8.4%。在2041 - 2060年的SSP5 - 8.5情景下[变种[变种名称1](38.6%)、变种[变种名称2](139.0%)、变种[变种名称3]( - 10.4%)]、2081 - 2100年的SSP2 - 4.5情景下[变种[变种名称1](4.6%)、变种[变种名称2](153.4%)、变种[变种名称3]( - 14.4%)]以及2081 - 2100年的SSP5 - 8.5情景下[变种[变种名称1](49.3%)、变种[变种名称2](233.4%)、变种[变种名称3]( - 30.7%)]也观察到了类似趋势。对气候变化的不同响应要求针对这些变种做出独特的管理和保护决策。