通过将景观能源与土地使用/土地覆盖异质性联系起来,探索景观规模的生物多样性模式
Asef Darvishi1, Maryam Yousefi2, Michael Schirrmann1
1Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Potsdam-Bornim, Max-Eyth-Allee 100, 14469 Potsdam, Germany.
The Science of the total environment
|January 19, 2024
概括
这项研究结合了社会新陈代谢和景观结构来分析农业生物多样性模式. 了解能源再投资和景观异质性之间的相互作用是保护工作的关键.
科学领域:
- 农业生态学 农业生态学
- 景观生态学 景观生态学
- 生态系统服务分析分析
背景情况:
- 传统上,通过社会代谢或景观结构功能分析来评估农业生物多样性动态.
- 需要一种综合方法来理解影响生物多样性模式的复杂相互作用.
研究的目的:
- 整合社会新陈代谢和景观结构功能分析,以全面了解生物多样性模式.
- 提出和评估一种假设,将能源再投资 (E) 和景观异质性 (Le) 与不同生态系统类型的生物多样性分布联系起来.
主要方法:
- 利用ELIA建模结合社会代谢 (能源再投资,E) 和景观结构-功能 (景观异质性,Le) 指标.
- 根据高/低E和Le定义了四个集群,将它们与不同的生态系统类型 (自然,半自然,密集农田,密集马赛克) 相结合.
- 评估了卡兹文省的假设,专注于能源和景观异质性之间的空间相互作用.
主要成果:
- 集群1 (高E,低Le - 自然生态系统):物种丰富度高,丰富度低.
- 集群2 (高E,高Le - 半自然生态系统):高物种丰富和丰富.
- 集群3 (低E,低Le - 密集农田):由于简化景观和低能源,生物多样性减少.
- 集群4 (低E,高Le - 密集型马赛克):生物多样性丰富,但由于有限的能源再投资,丰度低.
结论:
- 社会新陈代谢 (能源供应) 和景观结构 (异质性) 之间的相互作用显著塑造了生态社区和生物多样性模式.
- 拟议的模型有效地对生态系统进行了分类,并预测了生物多样性分布,在数据稀缺的情况下提供了有价值的工具.
- 强调在生物多样性保护和可持续性规划中需要跨学科研究和空间规模考虑.
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