Institute of Geomatics, GIS and Remote Sensing, Dedan Kimathi University of Technology, Nyeri, Kenya.
PLoS One. 2022 Oct 3;17(10):e0275360. doi: 10.1371/journal.pone.0275360. eCollection 2022.
The role of climate change in enhancing bio-invasions in natural environments needs to be assessed to provide baseline information for effective species management and policy formulations. In this study, potential habitat suitability maps were generated through Ecological Niche Modeling for five problematic alien and native species in current and future climate simulations for the periods 2050s and 2070s under RCP2.6, RCP4.5, and RCP8.5 emission scenarios. Projected current binary suitability maps showed that 67%, 40%, 28%, 68%, and 54% of the total study area ~ 3318 Km2 is suitable for C. decapetala, L. camara, O. stricta, S. didymobotrya and S. campylacanthum species, respectively. Assuming unlimited species dispersal, two of these species, C. decapetala and S. didymobotrya, were observed to have consistent gradual increase in potential habitats and no habitat losses under the three RCPs by the end of the 2050 and 2070 future periods. The highest recorded relative potential habitat increase was observed for O. stricta at ~205% under RCP2.6 and ~223% under RCP8.5. Although L. camara and O. stricta were observed to have habitat losses, the losses will be very low as compared to that of S. campylacanthum. L. camara and O. stricta relative habitat losses were predicted to be between ~1% under RCP2.6 to ~4.5% under RCP8.5 by 2070 while that of S. campylacanthum was between ~50% under RCP2.6 to ~68% under RCP8.5 by the year 2070. From this study we conclude that the target study species are expected to remain a big threat to inhabited areas as well as biodiversity hotspot areas especially in the Mt. Kenya and the Aberdare forest and national park reserves under climate change. The information generated through this study can be used to inform policy on prioritizing management of these species and subsequent determination of their absolute distributions within the area.
气候变化在增强自然环境中的生物入侵方面的作用需要进行评估,以为有效物种管理和政策制定提供基准信息。在这项研究中,通过生态位模型为当前和未来气候情景(2050 年代和 2070 年代)下的 RCP2.6、RCP4.5 和 RCP8.5 排放情景下的五个有问题的外来和本地物种生成潜在的栖息地适宜性地图。预测的当前二元适宜性地图显示,总面积 3318 平方公里的 67%、40%、28%、68%和 54%的地区适合 C. decapetala、L. camara、O. stricta、S. didymobotrya 和 S. campylacanthum 物种。假设物种扩散不受限制,在三种 RCP 下,这两个物种 C. decapetala 和 S. didymobotrya 被观察到在 2050 年和 2070 年未来时期结束时具有一致的潜在栖息地逐渐增加,没有栖息地损失。在 RCP2.6 下观察到 O. stricta 的相对潜在栖息地增加率最高,约为 205%,在 RCP8.5 下约为 223%。尽管 L. camara 和 O. stricta 被观察到有栖息地损失,但与 S. campylacanthum 相比,损失将非常低。预计到 2070 年,L. camara 和 O. stricta 的相对栖息地损失将在 RCP2.6 下约为 1%至 RCP8.5 下约为 4.5%,而 S. campylacanthum 的损失将在 RCP2.6 下约为 50%至 RCP8.5 下约为 68%。从这项研究中我们得出结论,目标研究物种预计仍将对居住地区以及生物多样性热点地区构成威胁,特别是在肯尼亚山和阿伯德尔森林和国家公园保护区,气候变化将产生影响。通过这项研究生成的信息可用于为管理这些物种的政策提供信息,并随后确定它们在该地区的绝对分布。