CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal.
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661 Vairão, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661 Vairão, Portugal.
Sci Total Environ. 2023 Mar 15;864:161073. doi: 10.1016/j.scitotenv.2022.161073. Epub 2022 Dec 23.
Information about biotic interactions (e.g. competition, predation, parasitism, diseases, mutualism, allelopathy) is fundamental to better understand species distribution and abundance, ecosystem functioning, and ultimately guide conservation efforts. However, conservation planning often overlooks these important interactions. Here, we aim to demonstrate a new framework to include biotic interactions into Marxan. For that, we use freshwater mussels and fish interaction (as mussels rely on fishes to complete their life cycle) in the Douro River basin (Iberian Peninsula) as a case study. While doing that, we also test the importance of including biotic interactions into conservation planning exercises, by running spatial prioritisation analysis considering either: 1) only the target species (freshwater mussels); 2) freshwater mussels and their obligatory hosts (freshwater fishes); 3) freshwater mussels, fishes and their interactions. With this framework we found that biotic interactions tend to be underrepresented when the data on both freshwater mussels and fishes is not simultaneously included in the spatial prioritisation. Overall, the priority areas selected across all scenarios are mostly located in the western part of the Douro River basin, where most freshwater mussels and fishes still occur. Given the low overlap of priority areas identified here and the current Natura 2000 network, our approach may be useful for establishing (or enlarging) protected areas, especially in light of the EU Biodiversity Strategy for 2030. Also, this work may provide guidance for future habitat restoration and management of main threats to freshwater biodiversity.
生物相互作用(如竞争、捕食、寄生、疾病、共生、化感作用)的信息对于更好地理解物种分布和丰度、生态系统功能以及最终指导保护工作至关重要。然而,保护规划往往忽略了这些重要的相互作用。在这里,我们旨在展示一个将生物相互作用纳入 Marxan 的新框架。为此,我们以杜罗河流域(伊比利亚半岛)的淡水贻贝类和鱼类相互作用(因为贻贝类依靠鱼类来完成其生命周期)为例进行研究。在进行这项研究的同时,我们还通过运行空间优先级分析来测试将生物相互作用纳入保护规划的重要性,分析中考虑了以下三种情况:1)仅考虑目标物种(淡水贻贝类);2)淡水贻贝类及其必需的宿主(淡水鱼类);3)淡水贻贝类、鱼类及其相互作用。通过这个框架,我们发现,如果不在空间优先级中同时包含淡水贻贝类和鱼类的数据,生物相互作用往往会被低估。总体而言,所有情景中选择的优先区域主要位于杜罗河流域的西部,那里仍有大多数淡水贻贝类和鱼类。考虑到这里确定的优先区域与当前的 Natura 2000 网络之间的低重叠,我们的方法可能有助于建立(或扩大)保护区,特别是考虑到 2030 年欧盟生物多样性战略。此外,这项工作还可以为未来的淡水生物多样性保护提供指导。