通过优化农业环境实践的空间分配,尽量减少农业景观中的权衡
Marta Bonato1, Alfred Burian2, Juliàn A Equihua3
1Department of Computational Landscape Ecology, Helmholtz Centre for Environmental Research-UFZ, Permoserstraße 15, 04318, Leipzig, Germany; Chair of Ecosystem Services, International Institute (IHI) Zittau, TUD Dresden University of Technology, Markt 23, 02763, Zittau, Germany.
Journal of environmental management
|August 15, 2025
概括
实施农业环境实践 (AEP) 显示出最小的作物产量损失,这与普遍认为的相反. AEPs的空间优化可以实现环境目标并同时提高作物生产.
科学领域:
- 农业科学 农业科学
- 环境科学 环境科学
- 生态生态学 生态生态学
背景情况:
- 农业环境实践 (AEP) 对生物多样性和农业环境目标至关重要.
- 在AEP和作物生产之间存在的权衡往往限制了它们的采用.
- 在现实场景中量化这些权衡是必不可少的,但未被充分研究.
研究的目的:
- 分析作物产量,水质和农田生物多样性之间的权衡.
- 使用优化方法评估AEPs的空间分配.
- 将利益相关者选择的AEP与政策驱动的目标进行比较.
主要方法:
- 采用了优化方法来进行AEPs的空间分配.
- 为AEP实施制定了基于利益相关者和基于政策的场景.
- 使用空间显式的作物,水和生物多样性模型进行评估.
主要成果:
- 在提高环境目标时,观察到边际作物产量损失 (最大1.1%) .
- 超过20%的帕雷托最佳解决方案在作物生产和环境目标方面都显示出"双赢"的结果.
- 空间优化被证明是调解不同场景中权衡的关键.
结论:
- 这项研究挑战了由于AEPs造成的大量作物生产损失的概念.
- 对AEP的空间显式优化为有效管理农业景观提供了巨大的潜力.
- 未来的研究可以探索积极的生物多样性反,以进一步提高农业成果.
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