University of Lorraine, URAFPA, INRAE, Nancy, France.
LTSER France, Zone Atelier du Bassin de la Moselle, Vandœuvre-lès-Nancy, France.
PLoS One. 2022 Aug 1;17(8):e0272508. doi: 10.1371/journal.pone.0272508. eCollection 2022.
Farming new species and promoting polyculture can enhance aquaculture sustainability. This implies to define the rearing conditions that meet the ecological requirements of a target species and/or to assess if different species can live in the same farming environment. However, there is a large number of rearing conditions and/or taxon combinations that can be considered. In order to minimise cumbersome and expensive empirical trials to explore all possibilities, we introduce a tool, AquaDesign. It is based on a R-script and package which help to determine farming conditions that are most likely suitable for species through in silico assessment. We estimate farming conditions potentially suitable for an aquatic organism by considering the species niche. We define the species n-dimensional niche hypervolume using a correlative approach in which the species niche is estimated by relating distribution data to environmental conditions. Required input datasets are mined from several public databases. The assistant tool allows users to highlight (i) abiotic conditions that are most likely suitable for species and (ii) combinations of species potentially able to live in the same abiotic environment. Moreover, it offers the possibility to assess if a particular set of abiotic conditions or a given farming location is potentially suitable for the monoculture or the polyculture of species of interest. Our tool provides useful pieces of information to develop freshwater aquacultures. Using the large amount of biogeographic and abiotic information available in public databases allows us to propose a pragmatic and operational tool even for species for which abiotic requirements are poorly or not available in literature such as currently non-produced species. Overall, we argue that the assistant tool can act as a stepping stone to promote new aquatic productions which are required to enhance aquaculture sustainability.
养殖新物种和推广混养可以提高水产养殖的可持续性。这意味着要确定满足目标物种生态需求的养殖条件,或者评估不同物种是否可以生活在相同的养殖环境中。然而,有大量的养殖条件和/或分类群组合可以考虑。为了最小化繁琐和昂贵的经验性试验来探索所有可能性,我们引入了一个工具,AquaDesign。它基于一个 R 脚本和一个包,可以帮助通过计算机模拟评估确定最适合物种的养殖条件。我们通过考虑物种的生态位来估计养殖条件的适宜性。我们使用相关方法定义物种的 n 维生态位超体积,其中通过将分布数据与环境条件相关联来估计物种的生态位。所需的输入数据集是从几个公共数据库中挖掘出来的。该辅助工具允许用户突出显示(i)最适合物种的非生物条件,以及(ii)可能在相同非生物环境中生存的物种组合。此外,它还提供了评估特定的一组非生物条件或特定的养殖地点是否适合目标物种的单养或混养的可能性。我们的工具为开发淡水水产养殖提供了有用的信息。利用公共数据库中提供的大量生物地理和非生物信息,即使对于非生产性物种等文献中非生物需求描述较差或不可用的物种,我们也可以提出一种实用且可操作的工具。总的来说,我们认为该辅助工具可以作为促进新的水产养殖的垫脚石,以提高水产养殖的可持续性。