Data and outputs from: Achieving full representativity of seafloor biodiversity with minimal expansion: Exploring a strategy for New Zealand marine conservation
Data files
Abstract
The New Zealand Seafloor Community Classification (NZSCC), which was developed to inform marine spatial planning processes at a national scale, depicts compositional turnover of 1,716 taxa (demersal fish, reef fish, benthic invertebrates, and macroalgae) classified in 75 groups representing seafloor communities. Here, we use the NZSCC and the conservation planning software Zonation to explore how representativity of benthic communities could be enhanced across spatial management areas (including protected areas) in New Zealand’s marine environment. Estimates of within- and between- NZSCC group similarity/dissimilarity (incorporating measures of uncertainty) and taxonomic richness, representing beta and alpha diversity respectively, are used to (1) identify a baseline spatial management scenario that ignores any existing spatial management measures; and (2) a scenario that prioritises optimal expansion of the current network of spatial management areas. Results indicate that a relatively small increase in spatial protection (1.5 %) can result in large increases in the representativity of all NZSCC groups within spatial management areas, including those groups currently not represented. The use of within- and between-group similarity/dissimilarity is an improvement on spatial prioritisation processes that consider groups within benthic classifications to be homogenous. These results provide a solid base for informing the development of improved future protection measures within New Zealand that can meaningfully contribute to the representativity element of the Global Biodiversity Framework Target 3.
Dataset DOI: 10.5061/dryad.6q573n6bg
Description of the data and file structure
Here we provide all settings and outputs for two Zonation scenarios and their post-analysis in R:
- Scenario 1: prioritisation of seafloor communities using NZSCC-derived layers and current spatial management areas.
- Scenario 2: prioritisation of seafloor communities using NZSCC-derived layers without any existing spatial management area (optimal scenario).
Files and variables
File: data.zip
Description: all the datasets used by Zonation and by the main R script analysis.
File: main.R
Description: code to evaluate the outputs from the Zonation scenarios using data derived from the NZSCC.
File: output.zip
Description: all the written outputs by the main R script.
Description of variables available in 'Post.Acc_SC1_Zonation_Summary.csv' (Scenario 1) and 'Post.Acc_SC2_Zonation_Summary.csv' (Scenario 2):
- 'Within.Group' within-group similarity layers (n=75)
- 'Between.Group' between-group similarity layers (n=75)
- 'Richness' taxonomic richness layers (n=4)
- 'Min.Prop_0.XX' % minimum proportion (individual feature) at the 'XX' threshold (i.e., 95 %) of the Zonation ranked solution
- 'Mean.Prop_0.XX' % mean proportion (across features) at the 'XX' threshold (i.e., 95 %) of the Zonation ranked solution
- 'Max.Prop_0.XX' % maximum proportion (individual feature) at the 'XX' threshold (i.e., 95 %) of the Zonation ranked solution
Description of variables available in 'Post.Acc_SC1_Zonation.csv' (Scenario 1) and 'Post.Acc_SC2_Zonation.csv' (Scenario 2):
- 'Intra_X' within-group similarity for group 'X' [1 - 75]
- 'Inter0_X' between-group similarity for group 'X' [1 - 75]
- 'Prop_0.X' % proportion of the layer (feature) at the 'X' threshold (i.e., 95 %) of the Zonation ranked solution
- Category: either between- or within- group similarity
Description of variables available in 'NZSCC_groups_extent.csv':
- 'GF.grp' NZSCC Group [1 - 75]
- 'Extent' spatial extent of the NZSCC Group (in square km)
Description of variables available in 'NZSCC_SC2_top30_overlap.csv':
- 'GF.grp' NZSCC Group [1 - 75]
- 'Extent' spatial extent in square km
- 'Prop': % proportion of the NZSCC group (see 'GF.grp' ) at the top 30 % of Scenario 2 Zonation ranked solution
File: sc1.zip
Description: Zonation config, setting files and outputs for Scenario 1.
File: sc2.zip
Description: Zonation config, setting files and outputs for Scenario 2.
Code/software
INSTRUCTIONS: unzip all zipped files. The structure should be:
./main.R
./README.txt
./data/masks/
./data/richness/
./data/similarity
./data/uncertainty/
./output/
./sc1/
./sc2/
If you want to re-run the scenarios you need to install Zonation (we used v5.1 which was the latest stable release at the time the analysis was conducted):
https://github.com/zonationteam/Zonation5
IMPORTANT: If you want to re-run the scenarios, Zonation scenario files './sc1/sc1' and './sc2/sc2' may need to be updated as they include the following hard-coded filepaths:
- Zonation exe file
- Zonation settings file
- Zonation output folder
Access information
Data was derived from the following sources:
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Spatial management area layers used in this research are publicly available in the Department of Conservation Marine Data Portal https://doc-marine-data-deptconservation.hub.arcgis.com/ and the Ministry for Primary Industries Open Geospatial Data Portal https://data-mpi.opendata.arcgis.com/
-
Benthic invertebrates’ richness was sourced from Brough et al (2025):
Brough, T., Stephenson, F., Leunissen, E. and Lundquist, C. (2025), Spatial Modelling Approaches for Estimating Richness of Benthic Invertebrates Throughout New Zealand Waters. Divers Distrib, 31: e70006. https://doi.org/10.1111/ddi.70006
