| Title: |
Meta-Analysis and MaxEnt Model Prediction of the Distribution of Phenacoccus solenopsis Tinsley in China under the Context of Climate Change. |
| Authors: |
Liu, Zhiqian1 (AUTHOR) qnhtvxhp319123@foxmail.com, Peng, Yaqin1 (AUTHOR), Xu, Danping1 (AUTHOR), Zhuo, Zhihang1 (AUTHOR) zhuozhihang@foxmail.com |
| Source: |
Insects (2075-4450). Sep2024, Vol. 15 Issue 9, p675. 16p. |
| Subject Terms: |
*GLOBAL warming, *FIRE ants, *FARM management, *ENVIRONMENTAL indicators, *CROPS |
| Abstract: |
Simple Summary: To predict the future distribution of Phenacoccus solenopsis Tinsley, this study combines MaxEnt modeling and meta-analysis. The MaxEnt model effectively predicts species distribution by analyzing environmental variables and occurrence data, providing accurate predictions of potential suitable habitats even with limited data. Meanwhile, the meta-analysis aggregates data from multiple experimental studies to assess P. solenopsis's response to temperature changes. By combining these methods, we can enhance prediction reliability and delve into the potential impacts of climate change on pest spread. This integrated approach offers detailed and reliable forecasts of P. solenopsis's future distribution, providing valuable insights for effective pest management and agricultural planning. Phenacoccus solenopsis Tinsley is a pest that poses a significant threat to agricultural crops, especially cotton, and is now widely distributed across many regions worldwide. In this study, we performed a meta-analysis on the collected experimental data and found that within the suitable temperature range, the survival rate of P. solenopsis increases with rising temperatures, indicating that climate plays a decisive role in its distribution. Using the MaxEnt model this study predicted that under three future climate scenarios (SSP1–2.6, SSP3–7.0, and SSP5–8.5), the distribution of P. solenopsis will expand and move towards higher latitudes. Climate change is the primary factor influencing changes in pest distribution. We conducted a meta-analysis of P. solenopsis, including seven independent studies covering 221 observation results, and examined the impact of temperature ranging from 18 °C to 39 °C on the developmental cycle of P. solenopsis. As the temperature rises, the development cycle of P. solenopsis gradually decreases. Additionally, by combining the MaxEnt model, we predicted the current and potential future distribution range of P. solenopsis. The results show that under future climate warming, the distribution area of P. solenopsis in China will expand. This research provides a theoretical basis for early monitoring and control of this pest's occurrence and spread. Therefore, the predictive results of this study will provide important information for managers in monitoring P. solenopsis and help them formulate relevant control strategies. [ABSTRACT FROM AUTHOR] |
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