Peer-reviewed publications

Marine reserves are a commonly applied conservation tool, but their size is often chosen based on considerations of socioeconomic rather than ecological impact. Here, we use a simple individual-based model together with the latest empirical information on home ranges, densities and schooling behavior in 66 coral reef fishes to quantify the conservation effectiveness of various reserve sizes. We find that standard reserves with a diameter of 1-2 km can achieve partial protection (greater than or equal to 50% of the maximum number of individuals) of 56% of all simulated species. Partial protection of the most important fishery species, and of species with diverse functional roles, required 2-10 km wide reserves. Full protection of nearly all simulated species required 100 km wide reserves. Linear regressions based on the mean home range and density, and even just the maximum length, of fish species approximated these results reliably, and can therefore be used to support locally effective decision making.

Ecosystem service (ES) maps are instrumental for the assessment and communication of the costs and benefits of human-nature interactions. Yet, despite the increased understanding that we live a globalized tele-coupled world where such interactions extend globally, ES maps are usually place-based and fail to depict the global flows of locally produced ES. We aim to shift the way ES maps are developed by bringing global value chains into ES assessments. We propose and apply a conceptual framework that integrates ES provision principles, with value chain analysis and human well-being assessment methods, while considering the spatial dimension of these components in ES mapping. We apply this framework to the case of seafood provision from purse seine tuna fishery in the Western and Central Pacific Ocean. The ES maps produced demonstrate the flow of a marine ES to a series of global beneficiaries via different trade and mobility pathways. We identify three types of flows – one to one, closed loop and open loop. We emphasize the need to consider a series of intermediate beneficiaries in ES mapping despite the lack of data. We highlight the need for a shift in ES mapping, to better include global commodity flows, across spatial scales.

This paper analyses the contributions of community and smallholder forestry (CSF) to achieving the sustainable development goals (SDGs). A CSF-SDG positive feedback model is proposed; a model that holds that successful CSF positively contributes to 13 SDGs and 31 SDG targets. Recent CSF meta-studies have scrutinized factors leading to CSF success and found some 10 factors and conditions that contribute to that objective. If efforts towards reaching the SDGs support or enhance these factors leading to the greater success of CSF, this in turn would boost CSF contributions to the SDGs and their targets. As a result, CSF or active support for CSF, focusing on the 10 CSF factors that favor success, can be linked to 48 unique SDG targets. The analysis suggests that there is a significant opportunity to explore win-win options for efforts to support CSF and contribute to SDGs, but also for efforts to pursue the SDGs and targets that favor CSF, which will in turn boost the contribution of CSF to the SDGs. The case of CSF and its feedback links with the SDGs suggests that it may be relevant to identify interactions between the SDGs and other socio-ecological realities and related research.

The United States has been at the forefront of marine resource stewardship since the 1970s when Federal officials began to implement a series of national policies aimed at the conservation and management of public trust resources in the ocean. Beginning with the establishment of the National Oceanic and Atmospheric Administration in 1970, soon followed by several pieces of landmark legislation, this era marked the start of a continuing effort to integrate ecosystem science with marine resource management. Among the most important bipartisan legacies of this effort has been the steady expansion of marine managed areas in U.S. coastal and ocean waters. This legacy is being challenged as the Trump Administration considers whether to alter or eliminate the nation's Marine National Monuments and National Marine Sanctuaries.

We found that 27 academic fields within the umbrella field of human-animal studies study human-animal relationships.• There is a strong differentiation between the fields that study "animals as constructed" vs. those that study "animals as such".• All these fields have much to contribute to conservation, but interdisciplinary research collaborations remain scarce.

Recruit young scientists and local talent to safeguard coral reefs

Landscape resistance is vital to connectivity modeling and frequently derived from resource selection functions (RSFs). RSFs estimate relative probability of use and tend to focus on understanding habitat preferences during slow, routine animal movements (e.g., foraging). Dispersal and migration, however, can produce rarer, faster movements, in which case models of movement speed rather than resource selection may be more realistic for identifying habitats that facilitate connectivity. To compare two connectivity modeling approaches applied to resistance estimated from models of movement rate and resource selection. Using movement data from migrating elk, we evaluated continuous time Markov chain (CTMC) and movement-based RSF models (i.e., step selection functions [SSFs]). We applied circuit theory and shortest random path (SRP) algorithms to CTMC, SSF and null (i.e., flat) resistance surfaces to predict corridors between elk seasonal ranges. We evaluated prediction accuracy by comparing model predictions to empirical elk movements. All connectivity models predicted elk movements well, but models applied to CTMC resistance were more accurate than models applied to SSF and null resistance. Circuit theory models were more accurate on average than SRP models. CTMC can be more realistic than SSFs for estimating resistance for fast movements, though SSFs may demonstrate some predictive ability when animals also move slowly through corridors (e.g., stopover use during migration). High null model accuracy suggests seasonal range data may also be critical for predicting direct migration routes. For animals that migrate or disperse across large landscapes, we recommend incorporating CTMC into the connectivity modeling toolkit.

Brood parasites lay thick-shelled eggs and numerous hypotheses have been proposed to explain the significance of this trait. We examined whether thick eggshells protect the parasite egg during laying events. We used eggs of the parasitic shiny cowbird (Molothrus bonariensis) and its hosts, the house wren (Troglodytes aedon) and chalk-browed mockingbird (Mimus saturninus) in South America, and the eggs of the parasitic brown-headed cowbird (M. ater) and its hosts, the house wren and red-winged blackbird (Agelaius phoeniceus) in North America. We experimentally dropped parasite eggs onto host eggs to simulate laying by the parasite, parasite eggs onto parasite eggs to simulate multiple parasitism, host eggs onto parasite eggs to simulate hosts laying from the height cowbirds lay, and stirred eggs to simulate jostling that may occur when cowbirds and hosts interact during laying events. We found that cowbird eggs were significantly less likely to be damaged than host eggs when they were laid onto a host egg and when host and cowbird eggs were laid onto them. There was minimal damage to eggs during jostling experiments, thereby failing to support the hypothesis that thick eggshells provide protection when eggs are jostled. These findings support the hypotheses that thick eggshells resist damage when laid from an elevated position, when additional cowbird eggs are laid onto them in multiply parasitized nests, and these eggs also damage host eggs when laid.

Natural resource managers face the need to develop strategies to adapt to projected future climates. Few existing climate adaptation frameworks prescribe where to place management actions to be most effective under anticipated future climate conditions. We developed an approach to spatially allocate climate adaptation actions and applied the method to whitebark pine (WBP; Pinus albicaulis) in the Greater Yellowstone Ecosystem (GYE). WBP is expected to be vulnerable to climatemediated shifts in suitable habitat, pests, pathogens, and fire. We spatially prioritized management actions aimed at mitigating climate impacts to WBP under two management strategies: (1) current management and (2) climate-informed management. The current strategy reflected management actions permissible under existing policy and access constraints. Our goal was to understand how consideration of climate might alter the placement of management actions, so the climateinformed strategies did not include these constraints. The spatial distribution of actions differed among the current and climate-informed management strategies, with 33-60% more wilderness area prioritized for action under climate-informed management. High priority areas for implementing management actions include the 1-8% of the GYE where current and climate-informed management agreed, since this is where actions are most likely to be successful in the long-term and where current management permits implementation. Areas where climate-informed strategies agreed with one another but not with current management (6-22% of the GYE) are potential locations for experimental testing of management actions. Our method for spatial climate adaptation planning is applicable to any species for which information regarding climate vulnerability and climate-mediated risk factors is available.

Aichi Target 11 has galvanized expansion of the global protected area network, but there is little evidence that this brings real biodiversity gains. We argue that area-based prioritization risks unintended perverse consequences and that the focus of protected area target development should shift from quantity to quality.