CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661, Vairão, Portugal; Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, 4099-002, Porto, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal.
GI-1934-TB, IBADER, Universidade de Santiago de Compostela, Campus Terra s/n, 27002, Lugo, Spain.
J Environ Manage. 2022 Sep 1;317:115335. doi: 10.1016/j.jenvman.2022.115335. Epub 2022 May 23.
Agriculture is a major driver of change with manifold impacts on biodiversity and ecosystem services. As social-ecological systems, agricultural landscapes result from the intertwined interaction between farmers and nature, and contribute to several ecosystem services key to human well-being. The social-ecological outcomes of farmlands ultimately reflect the management practices of the dominant farming systems (FS) at the landscape level. However, data-driven research linking agricultural management and biodiversity is still scarce, a knowledge gap limiting our understanding on the impacts of different farming systems on biodiversity at the landscape level. This research contributes to fill this knowledge gap, by being among the few explicitly exploring the relationship between FS and patterns of biodiversity at the landscape level, using as illustrative case the region of Galicia, northwest Spain. Using data from agricultural policies paying agencies, and protected species and habitats data, the following research questions were pursued: (1) Can farm-level data be used to map and characterize different FS at the landscape-level? and, (2) Is the occurrence of specific FS linked with higher levels of biodiversity? Results allowed the identification and characterization of seven different FS distributed across Galicia, which dominance allowed to identify seven landscape types. Moreover, besides depicting the dominance of cattle-based farming systems in Galicia, results showed a gradient of management from the most intensive located in coastal lowlands (west) towards less intensive mountain areas (east). Such gradient of decreasing management intensity matched a gradient of increasing nature value of farmlands, reflected as higher habitat diversity and richness for some of the targeted taxonomic groups. To our knowledge, this research is among the few explicitly addressing the relationship between FS and biodiversity at the landscape level. By highlighting potential links (positive or negative) between specific landscape types and habitats and/or species richness across targeted taxonomic groups, these results constitute a preliminary assessment of the agricultural practices promoting species and habitat richness. Further scrutinizing this assessment can support the identification of farm-level indicators that can be then translated into the design of policies (biodiversity or agriculture-related) fostering biodiversity at several scales of decision making.
农业是变化的主要驱动因素,对生物多样性和生态系统服务有着多方面的影响。作为社会-生态系统,农业景观是农民与自然相互交织作用的结果,为人类福祉的几个关键生态系统服务做出了贡献。农田的社会-生态结果最终反映了景观层面上占主导地位的农业系统(FS)的管理实践。然而,将农业管理与生物多样性联系起来的数据驱动研究仍然很少,这一知识差距限制了我们对不同农业系统对景观层面生物多样性影响的理解。本研究通过明确探索 FS 与景观层面生物多样性模式之间的关系,对填补这一知识空白做出了贡献,使用西班牙西北部加利西亚地区作为说明性案例。本研究利用农业政策支付机构和受保护物种和栖息地数据,提出了以下研究问题:(1)能否利用农场层面的数据来绘制和描述景观层面的不同 FS?以及,(2)特定 FS 的出现是否与更高水平的生物多样性相关?研究结果允许识别和描述分布在加利西亚的七种不同的 FS,它们的主导地位允许确定七种景观类型。此外,除了描绘加利西亚以牛为主的农业系统的主导地位外,研究结果还显示了从位于沿海低地(西部)的最密集管理区到不太密集的山区(东部)的管理梯度。这种管理强度降低的梯度与农田自然价值的增加梯度相匹配,这反映在一些目标分类群的栖息地多样性和丰富度增加。据我们所知,这项研究是为数不多的明确探讨 FS 与景观层面生物多样性之间关系的研究之一。通过突出特定景观类型与目标分类群的栖息地和/或物种丰富度之间的潜在联系(积极或消极),这些结果初步评估了促进物种和栖息地丰富度的农业实践。进一步仔细研究这一评估可以支持识别农场层面的指标,然后将这些指标转化为促进多个决策层面生物多样性的政策(与生物多样性或农业相关)的设计。