Abstract
Historical information on diadromous fish species is commonly incomplete or truncated across the species distribution range and spatial scales. However, historical insights have proven to be very relevant for river management and conservation. The iPODfish is a new methodological framework that enables the inference of a more thorough representation of the historical occurrence of diadromous fish over their complete distribution range. The method is based on the interplay between freshwater network features, diadromous fish species ecology and known historical occurrence from which assumptions, rules and thresholds are derived. It has five steps: main river segments vs. tributary segments; segment specificities; relative distance threshold; strahler value threshold; and sub-basin strahler threshold, divided into 2 moments of application (tributaries after main river) and can be expressed by a tree-like representation. iPODfish can cope with data bias and deal with multiple sources of information with distinct resolution scales to generate historical pseudo-presence/absence records of diadromous fish at a fine-scale spatial unit, such as river segments and along river networks. It allows for the enlarging of diadromous fish historical distributions and could be applied in any river network throughout the globe because despite its inference nature, it remains a conservative approach that uses concepts and definitions derived from common features of diadromous ecology and freshwater networks. The outputs obtained may prove useful in biogeographical and/or macroecological studies using historical occurrences and targeting the conservation and management of diadromous fish species.
Author Contributions
Conceptualization, G.D., P.B., G.H. and P.S.; methodology, G.D., P.B. and P.S.; data curation, G.D. and G.H.; formal analysis, G.D., P.B. and P.S.; writing—original draft preparation G.D., P.B. and P.S.; writing—review and editing, all authors; figure development, G.D., P.B. and P.S.; supervision, G.H:, M.T.F., D.P. and P.S.; project administration, M.T.F.; Funding acquisition, M.T.F.; All authors have read and agreed to the published version of the manuscript.
Funding
GD was supported by national funds via FCT—Fundação para a Ciência e a Tecnologia, I.P. (PTDC/ASP-AGR/29771/2017 and UIDP/00239/2020). P.B. was supported by national funds through Fundação para a Ciência e Tecnologia I.P., Portugal (FCT) under ‘Norma Transitó-ria—DL57/2016/CP1382/CT0020’. This research was funded by the Forest Research Centre, a research unit funded by Fundaç˜ao para a Ciˆencia e a Tecnologia I.P. (FCT), Portugal (UIDB/00239/2020) and by the Laboratory for Sustainable Land Use and Ecosystem Services (LA/P/0092/2020).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
All data used is freely available or available upon request.
Conflicts of Interest
The authors declare no conflict of interest.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).