Datasets and scripts associated with the paper "Freshwater conservation planning in the far north of Ontario, Canada: identifying priority watersheds for the conservation of fish biodiversity in an intact boreal landscape".
This repository contains the input datasets and R scripts used in the aforementioned paper. Included in this repository are the following datasets: watershed planning units shapefile [planning_units.7z], input datasets for the freshwater conservation planning analysis [Inputs folder], R scripts for the cost index created using a Principal Components Analysis of human disturbances known to affect freshwater species [CostIndexPCA folder], and R scripts used to run the prioritizr conservation planning analysis using six different scenarios to meet two area-based conservation targets (17% and 30%) [prioritizr_analysis folder].
The scenarios are listed based on R script suffix: freshwater fish biodiversity scenario (i.e. 30 species) [No Suffix], freshwater fish biodiversity scenario (i.e. 30 species) with protected areas locked in [PA_LOCKED_IN], lake sturgeon scenario [SP01_Lake_Sturgeon], lake whitefish scenario [SP09_Lake_Whitefish], brook trout scenario [SP42_Brook_Trout], and walleye scenario [SP46_Walleye].
The prioritizr_analysis folder contains the following sub-folders: initial conservation planning analyses with targets ranging from 10-90% species representation [01_APU_ANALYSIS], results from the initial analysis [02_APU_Summarize], conservation planning analysis to meet the 17% area-based target [03_APU_17_ANALYSIS], results for the 17% area-based target [04_APU_17_Summarize], conservation planning analysis to meet the 30% area-based target [06_APU_30_ANALYSIS], and results for the 30% area-based target [07_APU_30_Summarize].
Citation: Southee FM, Edwards BA, Chetkiewicz C-LB, and O’Connor CM. 2021. Freshwater conservation planning in the far north of Ontario, Canada: identifying priority watersheds for the conservation of fish biodiversity in an intact boreal landscape. FACETS 6: 1–28. doi:10.1139/facets-2020-0015
Copyright: © 2021 Southee et al. This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.