Suppr超能文献

原型模型提升了对自然虫害控制对土地利用变化响应的理解。

Archetype models upscale understanding of natural pest control response to land-use change.

机构信息

Lund University, Centre for Environmental and Climate Science (CEC), Lund, Sweden.

Biomathematics and Statistics Scotland, Edinburgh, UK.

出版信息

Ecol Appl. 2022 Dec;32(8):e2696. doi: 10.1002/eap.2696. Epub 2022 Sep 18.

Abstract

Control of crop pests by shifting host plant availability and natural enemy activity at landscape scales has great potential to enhance the sustainability of agriculture. However, mainstreaming natural pest control requires improved understanding of how its benefits can be realized across a variety of agroecological contexts. Empirical studies suggest significant but highly variable responses of natural pest control to land-use change. Current ecological models are either too specific to provide insight across agroecosystems or too generic to guide management with actionable predictions. We suggest obtaining the full benefit of available empirical, theoretical, and methodological knowledge by combining trait-mediated understanding from correlative studies with the explicit representation of causal relationships achieved by mechanistic modeling. To link these frameworks, we adapt the concept of archetypes, or context-specific generalizations, from sustainability science. Similar responses of natural pest control to land-use gradients across cases that share key attributes, such as functional traits of focal organisms, indicate general processes that drive system behavior in a context-sensitive manner. Based on such observations of natural pest control, a systematic definition of archetypes can provide the basis for mechanistic models of intermediate generality that cover all major agroecosystems worldwide. Example applications demonstrate the potential for upscaling understanding and improving predictions of natural pest control, based on knowledge transfer and scientific synthesis. A broader application of this mechanistic archetype approach promises to enhance ecology's contribution to natural resource management across diverse regions and social-ecological contexts.

摘要

通过在景观尺度上改变寄主植物的可利用性和天敌的活动来控制作物害虫,具有极大地提高农业可持续性的潜力。然而,将自然害虫控制纳入主流需要更好地了解如何在各种农业生态环境中实现其益处。实证研究表明,自然害虫控制对土地利用变化的响应显著但高度可变。当前的生态模型要么过于具体,无法在农业生态系统中提供洞察力,要么过于通用,无法提供可操作的预测来指导管理。我们建议通过将相关性研究中的特征介导理解与机制建模所实现的因果关系的明确表示相结合,充分利用现有的经验、理论和方法知识。为了连接这些框架,我们从可持续性科学中采用了原型(或特定于上下文的概括)的概念。在具有关键属性(如焦点生物的功能特征)的情况下,自然害虫控制对土地利用梯度的相似响应表明了以敏感方式驱动系统行为的一般过程。基于对自然害虫控制的这种观察,可以对原型进行系统定义,为具有中间通用性的机制模型提供基础,这些模型涵盖了全球所有主要的农业生态系统。示例应用表明,基于知识转移和科学综合,有潜力提高对自然害虫控制的理解和预测。更广泛地应用这种机械原型方法有望增强生态学在不同地区和社会生态环境下对自然资源管理的贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fd6c/10078142/5709c4904cf0/EAP-32-0-g006.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验