Species composition and turnover models provide robust approximations of biodiversity in marine conservation planning

Show full item record



Permalink

http://hdl.handle.net/10138/335784

Citation

Stephenson , F , Leathwick , J R , Geange , S , Moilanen , A , Pitcher , C R & Lundquist , C J 2021 , ' Species composition and turnover models provide robust approximations of biodiversity in marine conservation planning ' , Ocean & Coastal Management , vol. 212 , 105855 . https://doi.org/10.1016/j.ocecoaman.2021.105855

Title: Species composition and turnover models provide robust approximations of biodiversity in marine conservation planning
Author: Stephenson, Fabrice; Leathwick, John R.; Geange, Shane; Moilanen, Atte; Pitcher, C. Roland; Lundquist, Carolyn J.
Contributor: University of Helsinki, Department of Geosciences and Geography
Date: 2021-10-15
Language: eng
Number of pages: 9
Belongs to series: Ocean & Coastal Management
ISSN: 0964-5691
URI: http://hdl.handle.net/10138/335784
Abstract: Robust design of Marine Protected Areas in ocean environments is often challenging due to inadequate knowledge of biodiversity patterns, reflecting difficulties in the prediction of species distributions from sampling data that are often sparse or inadequate. Models that combine species and environmental data, such as Gradient Forests (GF), provide one analytical approach to this problem, efficiently combining available information to produce spatial models of species turnover throughout an area of interest. Spatial estimates of species turnover can then be classified to estimate spatial patterns in species composition; however, the performance of GF-based classifications within a conservation planning context has not previously been evaluated. Here we assess the utility for conservation planning (using the software Zonation) of a GF-based hierarchical classification that summarises spatial patterns in demersal fish composition in the oceans around New Zealand. Progressively more complex Zonation analyses assessed the effects of (i) varying the number of classification groups, (ii) adding information describing species turnover, and (iii) adding information describing spatial variation in demersal fish species richness. The best-performing GF-based conservation ranking used layers describing the distributions of 30 classification groups, demersal fish species turnover between these groups, and species richness. Conservation outcomes from this ranking were only marginally less efficient than those from a more conventional ranking that used 217 individual species distribution layers (7% less efficient). This indicates that GF-based classifications may provide a practical alternative for marine conservation planning. Additional advantages arise from the greater ease with which a single classification layer summarising complex biodiversity patterns can facilitate decision-making in participatory stakeholder processes.
Subject: 1172 Environmental sciences
Rights:


Files in this item

Total number of downloads: Loading...

Files Size Format View
1_s2.0_S0964569121003380_main.pdf 3.118Mb PDF View/Open

This item appears in the following Collection(s)

Show full item record