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农田小气候和叶巢行为影响未来变暖条件下毛虫的生长

Cropland Microclimate and Leaf-nesting Behavior Shape the Growth of Caterpillar under Future Warming.

作者信息

Wang Ling, Xing Shuang, Chang Xinyue, Ma Liang, Wenda Cheng

机构信息

School of Ecology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong 518107, China.

出版信息

Integr Comp Biol. 2024 Sep 27;64(3):932-943. doi: 10.1093/icb/icae043.

Abstract

Predicting performance responses of insects to climate change is crucial for biodiversity conservation and pest management. While most projections on insects' performance under climate change have used macro-scale weather station data, few incorporated the microclimates within vegetation that insects inhabit and their feeding behaviors (e.g., leaf-nesting: building leaf nests or feeding inside). Here, taking advantage of relatively homogenous vegetation structures in agricultural fields, we built microclimate models to examine fine-scale air temperatures within two important crop systems (maize and rice) and compared microclimate air temperatures to temperatures from weather stations. We deployed physical models of caterpillars and quantified effects of leaf-nesting behavior on operative temperatures of two Lepidoptera pests: Ostrinia furnacalis (Pyralidae) and Cnaphalocrocis medinalis (Crambidae). We built temperature-growth rate curves and predicted the growth rate of caterpillars with and without leaf-nesting behavior based on downscaled microclimate changes under different climate change scenarios. We identified widespread differences between microclimates in our crop systems and air temperatures reported by local weather stations. Leaf-nesting individuals in general had much lower body temperatures compared to non-leaf-nesting individuals. When considering microclimates, we predicted leaf-nesting individuals grow slower compared to non-leaf-nesting individuals with rising temperature. Our findings highlight the importance of considering microclimate and habitat-modifying behavior in predicting performance responses to climate change. Understanding the thermal biology of pests and other insects would allow us to make more accurate projections on crop yields and biodiversity responses to environmental changes.

摘要

预测昆虫对气候变化的性能反应对于生物多样性保护和害虫管理至关重要。虽然大多数关于气候变化下昆虫性能的预测都使用了宏观尺度的气象站数据,但很少有研究将昆虫栖息的植被内部微气候及其取食行为(例如,叶巢筑造:建造叶巢或在叶内取食)纳入考虑。在此,利用农田中相对均匀的植被结构,我们构建了微气候模型,以研究两种重要作物系统(玉米和水稻)内的精细尺度气温,并将微气候气温与气象站的气温进行比较。我们部署了毛虫物理模型,并量化了叶巢筑造行为对两种鳞翅目害虫(亚洲玉米螟(螟蛾科)和稻纵卷叶螟(草螟科))有效温度的影响。我们构建了温度 - 生长速率曲线,并根据不同气候变化情景下的降尺度微气候变化预测了有和没有叶巢筑造行为的毛虫的生长速率。我们发现我们作物系统中的微气候与当地气象站报告的气温之间存在广泛差异。一般来说,筑叶巢的个体体温比不筑叶巢的个体低得多。考虑微气候时,我们预测随着温度升高,筑叶巢的个体比不筑叶巢的个体生长得更慢。我们的研究结果凸显了在预测对气候变化的性能反应时考虑微气候和栖息地改变行为的重要性。了解害虫和其他昆虫的热生物学将使我们能够对作物产量和生物多样性对环境变化的反应做出更准确的预测。

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