在景观尺度上验证农田生物多样性生命周期评估
Noëlle Klein1,2, Felix Herzog1, Philippe Jeanneret1
1Agricultural Landscapes and Biodiversity, Department of Agroecology and Environment, Agroscope, Reckenholzstrasse 191, Zurich 8046, Switzerland.
Environmental science & technology
|June 13, 2023
概括
将空间数据整合到生物多样性的农业生命周期评估 (LCA) 中,可以改善现场规模的预测. 然而,景观尺度的准确性各不相同,景观指标对鸟类有好处,但对蝶没有好处.
科学领域:
- 农业生态学 农业生态学
- 环境科学环境科学
- 生物多样性评估 生物多样性评估
背景情况:
- 生命周期评估 (LCA) 通常忽略了空间依赖,这对生物多样性影响至关重要.
- 瑞士农业生物多样性生命周期评估 (SALCA-BD) 模型评估了农业田地管理对11个指标物种群的影响.
研究的目的:
- 通过结合空间背景来提高SALCA-BD模型的性能.
- 评估空间数据对农业景观生物多样性评估的影响.
主要方法:
- 利用来自瑞士两个农业地区的高分辨率鸟类和蝶观测数据.
- 开发了线性混合模型来比较SALCA-BD得分与现场和景观尺度上观察到的物种丰富性.
- 计算景观指标并评估它们与模型预测错误的关系,将重要指标纳入模型.
主要成果:
- 对于鸟类和蝶来说,SALCA-BD现场规模的得分与观察到的物种丰富度有显著的相关性.
- 在景观尺度上,模型性能下降,显示区域变化.
- 整合景观指标改善了鸟类的景观模型,但不是蝶.
结论:
- 将空间背景纳入生物多样性的LCA提供了适度的好处.
- 在LCA生物多样性评估中整合空间数据的实用性取决于上下文,并因地区和物种群而异.
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