Predicting New Zealand riverine fish reference assemblages

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Biodiversity and Conservation

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Introduction

Methods

Fish data

Environmental data

Fish distribution models

  1. Counting the number of native fish species (from the 24 modelled) that are predicted (i.e. expected) to occur in reference conditions (Fig. 1A).

  2. Counting the number of native fish species (from the 24 modelled) that are predicted to be present in present-day conditions and were predicted to occur in human-absent conditions (i.e. observed) (Fig. 1B).

  3. Dividing the number of observed species by the number of species expected gives a ratio between zero and one (Fig. 2). High ratios indicate that fish presence assemblages are similar to those expect in reference conditions, whilst low ratios suggest fish presence assemblages are substantially different from human-absent conditions.

Comparison with Crow et al. (2014)

Human impacts on the predicted fish observed/expected ratio

Results

Discussion

Conclusions

Supplemental Information

Table S1. Pearson correlations (top) and p-values (bottom) for regressions between each of the predictors used to model fish distribution.

DOI: 10.7717/peerj.4890/supp-1

Additional Information and Declarations

Competing Interests

Adam Canning is an employee of the Wellington Fish and Game Council.

Author Contributions

Adam D. Canning conceived and designed the experiments, performed the experiments, analysed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, authored or reviewed drafts of the paper, approved the final draft.

Data Availability

The following information was supplied regarding data availability:

Canning, Adam (2018): All_Spp_PA_OE_FENZ_classes.csv.figshare.

Dataset. https://doi.org/10.6084/m9.figshare.5830932.v1.

Funding

The author received no funding for this work.

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