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Marine reserves are a key tool for the conservation of marine biodiversity, yet only ~2.5% of the world's oceans are protected. The integration of marine reserves into connected networks representing all habitats has been encouraged by international agreements, yet the benefits of this design has not been tested empirically. Australia has one of the largest systems of marine reserves, providing a rare opportunity to assess how connectivity influences conservation success. An Australia-wide dataset was collected using baited remote underwater video systems deployed across a depth range from 0 to 100 m to assess the effectiveness of marine reserves for protecting teleosts subject to commercial and recreational fishing. A meta-analytical comparison of 73 fished species within 91 marine reserves found that, on average, marine reserves had 28% greater abundance and 53% greater biomass of fished species compared to adjacent areas open to fishing. However, benefits of protection were not observed across all reserves (heterogeneity), so full subsets generalized additive modelling was used to consider factors that influence marine reserve effectiveness, including distance-based and ecological metrics of connectivity among reserves. Our results suggest that increased connectivity and depth improve the aforementioned marine reserve benefits and that these factors should be considered to optimize such benefits over time. We provide important guidance on factors to consider when implementing marine reserves for the purpose of increasing the abundance and size of fished species, given the expected increase in coverage globally. We show that marine reserves that are highly protected (no-take) and designed to optimize connectivity, size and depth range can provide an effective conservation strategy for fished species in temperate and tropical waters within an overarching marine biodiversity conservation framework., (© 2021 The Authors. Global Change Biology published by John Wiley & Sons Ltd.)

Aesthetic values are a key driver of tourist and recreational visitation to natural areas and are listed among the selection criteria for World Heritage properties. However, assessment and monitoring of aesthetic values in natural areas, and coral reefs in particular, have proven to be challenging. In our study we explored the value and limitations of a rapid assessment approach involving non-expert ratings of aesthetic beauty as a potential tool for long-term monitoring of aesthetic values in the Great Barrier Reef World Heritage Area, Australia. We investigated the sensitivity of a rating scale for detecting change and sampling requirements for monitoring, as well as observer biases, using an online survey of 1417 Australians in which respondents rated the aesthetic beauty of 181 coral reef images on a ten-point scale. Our results show average aesthetic rating scores ranged from 4.35 to 8.34 on a scale from 1 (ugly) to 10 (beautiful), with potential to detect differences of statistical significance within one point, indicating sufficient sensitivity to change for monitoring purposes. We found that a sample size of c.100 ratings per image provided a reasonable balance between cost (i.e. sample size) and accuracy (i.e. error). Older respondents (>65 years) with higher levels of coral reef visitation, experience and interest were more likely to give extreme ratings, however, there was no apparent predictor for this bias to be positive or negative (high or low ratings). Based on these results we provide recommendations to assist coral reef managers in their use and interpretation of non-expert aesthetic ratings in coral reef monitoring., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Marine Protected Areas (MPAs) are effective resource management and conservation measures, but their success is often hindered by non-compliant activities such as poaching. Understanding the risk factors and spatial patterns of poaching is therefore crucial for efficient law enforcement. Here, we conducted explanatory and predictive modelling of poaching from recreational fishers within no-take zones of Australia's Great Barrier Reef Marine Park (GBRMP) using Boosted Regression Trees (BRT). Combining patrol effort data, observed distribution of reported incidents, and spatially-explicit environmental and human risk factors, we modeled the occurrence probability of poaching incidents and mapped poaching risk at fine-scale. Our results: (i) show that fishing attractiveness, accessibility and fishing capacity play a major role in shaping the spatial patterns of poaching; (ii) revealed key interactions among these factors as well as tipping points beyond which poaching risk increased or decreased markedly; and (iii) highlight gaps in patrol effort that could be filled for improved resource allocation. The approach developed through this study provide a novel way to quantify the relative influence of multiple interacting factors in shaping poaching risk, and hold promises for replication across a broad range of marine or terrestrial settings., (Copyright © 2019 Elsevier Ltd. All rights reserved.)