Plant Protection Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of High Technology for Plant Protection, Guangzhou, China.
Pest Manag Sci. 2024 Feb;80(2):734-743. doi: 10.1002/ps.7804. Epub 2023 Oct 12.
Rodent infestation is a global problem. Rodents cause huge harm to agriculture, forestry, and animal husbandry around the world and spread various zoonoses. In this study, we simulated the potentially suitable habitats of Bandicota indica and predicted the impact of future climate change on its distribution under different socio-economic pathway scenarios of CMIP6 using a parameter-optimized maximum entropy (MaxEnt) model.
The average area under the receiver operating characteristic curve (AUC) value (0.958 ± 0.006) after ten repetitions proved the high accuracy of the MaxEnt model. Model results show that the annual mean temperature (≥ 15.93 °C), isothermality (28.52-80.49%), annual precipitation (780.13-3863.13 mm), precipitation of the warmest quarter (≥ 204.37 mm), and nighttime light (≥ 3.38) were important limiting environmental variables for the distribution of B. indica. Under current climate conditions, the projected potential suitable habitats for B. indica were mainly in India, China, Myanmar, Thailand, and Vietnam, which cover a total area of 301.70 × 10 km . The potentially suitable areas of B. indica in the world will expand under different future climate change scenarios by 1.61-17.65%.
These results validate the potential influence of climate change on the distribution of B. indica and aid in understanding the linkages between B. indica niches and the relevant environment, thereby identifying urgent management areas where interventions may be necessary to develop feasible early warning and prevention strategies to protect against this rodent's spread. © 2023 Society of Chemical Industry.
啮齿动物的侵扰是一个全球性的问题。啮齿动物对世界范围内的农业、林业和畜牧业造成了巨大的危害,并传播了各种人畜共患病。在本研究中,我们模拟了印度缟狸潜在适宜栖息地,并使用参数优化最大熵(MaxEnt)模型预测了未来气候变化对其分布的影响,情景涉及 CMIP6 下的不同社会经济路径。
经过十次重复,MaxEnt 模型的平均接收器工作特征曲线下面积(AUC)值(0.958 ± 0.006)证明了该模型的高精度。模型结果表明,年平均气温(≥15.93°C)、等温性(28.52-80.49%)、年降水量(780.13-3863.13mm)、最暖季度降水量(≥204.37mm)和夜间光照(≥3.38)是影响印度缟狸分布的重要限制环境变量。在当前气候条件下,印度缟狸潜在适宜栖息地主要分布在印度、中国、缅甸、泰国和越南,总面积为 301.70×10^6km^2。在不同的未来气候变化情景下,印度缟狸在世界范围内的潜在适宜区将增加 1.61-17.65%。
这些结果验证了气候变化对印度缟狸分布的潜在影响,有助于了解印度缟狸生态位与相关环境之间的联系,从而确定需要干预的紧急管理区域,以便制定可行的早期预警和预防策略,防止这种啮齿动物的传播。 © 2023 化学工业协会。