The effectiveness of marine reserve systems constructed using different surrogates of biodiversity.
Biological sampling in marine systems is often limited, and the cost of acquiring new data is high. We sought to assess whether systematic reserves designed using abiotic domains adequately conserve a comprehensive range of species in a tropical marine inter-reef system. We based our assessment on data from the Great Barrier Reef, Australia. We designed reserve systems aiming to conserve 30% of each species based on 4 abiotic surrogate types (abiotic domains; weighted abiotic domains; pre-defined bioregions; and random selection of areas). We evaluated each surrogate in scenarios with and without cost (cost to fishery) and clumping (size of conservation area) constraints. To measure the efficacy of each reserve system for conservation purposes, we evaluated how well 842 species collected at 1155 sites across the Great Barrier Reef seabed were represented in each reserve system. When reserve design included both cost and clumping constraints, the mean proportion of species reaching the conservation target was 20-27% higher for reserve systems that were biologically informed than reserves designed using unweighted environmental data. All domains performed substantially better than random, except when there were no spatial or economic constraints placed on the system design. Under the scenario with no constraints, the mean proportion of species reaching the conservation target ranged from 98.5% to 99.99% across all surrogate domains, whereas the range was 90-96% across all domains when both cost and clumping were considered. This proportion did not change considerably between scenarios where one constraint was imposed and scenarios where both cost and clumping constraints were considered. We conclude that representative reserve systems can be designed using abiotic domains; however, there are substantial benefits if some biological information is incorporated.
Australian Research Council Centre of Excellence for Environmental Decisions, School of Biological Sciences, University of Queensland, St Lucia, Queensland, 4072, Australia.
P R
PR
Sutcliffe
Australian Research Council Centre of Excellence for Environmental Decisions, School of Biological Sciences, University of Queensland, St Lucia, Queensland, 4072, Australia.
C J
CJ
Klein
CSIRO Oceans & Atmosphere Flagship, EcoSciences Precinct, 41 Boggo Road, Dutton Park, Queensland, 4102, Australia.
C R
CR
Pitcher
Australian Research Council Centre of Excellence for Environmental Decisions, School of Biological Sciences, University of Queensland, St Lucia, Queensland, 4072, Australia.
H P
HP
Possingham
D059001:Aquatic Organisms; D001315:Australia; D044822:Biodiversity; D003247:Conservation of Natural Resources / Q000191:economics / Q000379:methods*; D005398:Fisheries / Q000191:economics; D011793:Queensland
abiotic domain; conservar el estado de la naturaleza; conservation planning; conserving nature's stage; diseño de reservas; dominio abiótico; inter-reef seabed; lecho marino inter-arrecifal; planeación de la conservación; reserve design