The comparative biological effects of spatial management measures in protecting marine biodiversity: A systematic review protocol

Abstract

Background: The global decline of marine biodiversity and the perceived need to protect marine ecosystems from irreparable alterations to ecosystem functioning and ecosystem service provision have produced an extensive range of spatial management measures (SMMs). The design of SMMs is a complex process often involving the integration of both conservation objectives and socio-economic priorities and the resultant trade-offs are highly dependent on the management regime in place. Future marine management is likely to involve greater use of different forms of protected areas with differing levels of protection, particularly for sites where there are multiple competing demands. Consequently, evaluations of the characteristics that enable different forms of SMMs to successfully achieve their objectives are required to inform future conservation networks. The objective of this evidence-based analysis is to assess and compare the biological effects of different forms of SMMs with the aim of providing additional guidelines and insight into the design of future SMMs. Methods: SMMs will be grouped into four main categories according to the degree of management enforcement (marine reserve, marine protected area, partial permanent protection, partial temporal protection). To identify and collate evidence to address these questions a comprehensive systematic search of peer-reviewed scientific literature and grey literature will be undertaken. Articles will be examined for relevance using specified inclusion criteria and the included papers will be critically appraised. Studies that examine the effects on an outcome comparing at least one spatial management measure vs no protection (open access area) or between interventions will be considered. Subgroup analyses and meta-regression will be performed to explore variation in biological effects in relation to covariates (SMMs parameters, habitat and species functional and biological traits).