Abstract

BackgroundCoral reefs are rapidly changing in response to local and global stressors. Research to better understand and inform the management of these stressors is burgeoning. However, in situ studies of coral reef ecology are constrained by complex logistics and limited resources. Many reef studies are also hampered by the scale-dependent nature of ecological patterns, and inferences made on causal relationships within coral reef systems are limited by the scales of observation. This is because most socio-ecological studies are conducted at scales relevant to the phenomenon of interest. However, management often occurs across a significantly broader, often geopolitical, range of scales. While there is a critical need for incisive coral reef management actions at relevant spatial and temporal scales, it remains unclear to what extent the scales of empirical study overlap with the scales at which management inferences and recommendations are made. This systematic map protocol will evaluate this potential scale mismatch with the goal of raising awareness about the significance of effectively addressing and reporting the scales at which researchers collect data and make assumptions.MethodsWe will use the Collaboration for Environmental Evidence (CEE) systematic mapping guidelines to identify relevant studies using a framework-based synthesis to summarise the spatial and temporal scales of coral reef fish ecology research and the scales at which management inferences or recommendations are made. Using tested predefined terms, we will search for relevant published academic and grey literature, including bibliographic databases, web-based search engines, and organisational websites. Inclusion criteria for the evidence map are empirical studies that focus on coral reef fish ecological organisation and processes, those informing management interventions and policy decisions, and management documents that cite coral reef research for management decision-making. Study results will be displayed graphically using data matrices and heat maps. This is the first attempt to systematically assess and compare the scales of socio-ecological research conducted on coral reef systems with their management.

Highlights

  • Coral reefs are rapidly changing in response to local and global stressors

  • Lawrence et al Environ Evid (2021) 10:3 and ecological interactions across spatial and temporal scales is considered one of the biggest challenges to effective management, and often mismatches occur between the scales of ecosystem observation, management decision-making, and the regulation of human impacts [4, 5]

  • Given the variety of logistical and technological constraints that accompany data collection, our scales of observation often do not match the multiple scales at which drivers determine ecosystem dynamics [6,7,8]

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Summary

Methods

The systematic map protocol has been developed in accordance with the Collaboration for Environmental Evidence Guidelines and Standards for Evidence Synthesis [68] and the ‘RepOrting standards for Systematic Evidence Syntheses’ (ROSES) for systematic map protocols [69] (see Additional file 2). The searches will be limited to studies published from 2010 onwards in order to focus our study on the last decade of coral reef socio-ecological research This particular time period has seen a noticeable increase in research that integrates social and ecological datasets to better understand socio-ecological systems [20] and studies that seek to understand the linkages between disturbances, ecological functioning, and ecosystem services [71]. Searches will be performed across 6 databases, as listed, using the predefined search string (see Additional file 4): Search engines The academic search engine Google Scholar will be used to search for relevant literature not identified by the bibliographic database search results. Search terms will be simplified by modifying the original search string (see Additional file 4: Table S2) and limiting the search to studies published from 2010 onwards. The citations for the first 200 results will be extracted as citations and

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