Systematic conservation prioritization with the prioritizr R package.

Plans for expanding protected area systems (prioritizations) need to fulfill conservation objectives. They also need to account for other factors, such as economic feasibility and anthropogenic land-use requirements. Although prioritizations are often generated with decision support tools, most tools have limitations that hinder their use for decision-making.

Mapping the planet's critical areas for biodiversity and nature's contributions to people.

Meeting global commitments to conservation, climate, and sustainable development requires consideration of synergies and tradeoffs among targets. We evaluate the spatial congruence of ecosystems providing globally high levels of nature's contributions to people, biodiversity, and areas with high development potential across several sectors. We find that conserving approximately half of global land area through protection or sustainable management could provide 90% of the current levels of ten of nature's contributions to people and meet minimum representation targets for 26,709 terrestrial vertebrate species.

Priority areas to protect mangroves and maximise ecosystem services.

Anthropogenic activities threaten global biodiversity and ecosystem services. Yet, area-based conservation efforts typically target biodiversity protection whilst minimising conflict with economic activities, failing to consider ecosystem services. Here we identify priority areas that maximise both the protection of mangrove biodiversity and their ecosystem services.

A metric-based framework for climate-smart conservation planning.

Climate change is already having profound effects on biodiversity, but climate change adaptation has yet to be fully incorporated into area-based management tools used to conserve biodiversity, such as protected areas. One main obstacle is the lack of consensus regarding how impacts of climate change can be included in spatial conservation plans. We propose a climate-smart framework that prioritizes the protection of climate refugia-areas of low climate exposure and high biodiversity retention-using climate metrics.

Molecular ecology meets systematic conservation planning.

Integrative and proactive conservation approaches are critical to the long-term persistence of biodiversity. Molecular data can provide important information on evolutionary processes necessary for conserving multiple levels of biodiversity (genes, populations, species, and ecosystems). However, molecular data are rarely used to guide spatial conservation decision-making.

Areas of global importance for conserving terrestrial biodiversity, carbon and water.

To meet the ambitious objectives of biodiversity and climate conventions, the international community requires clarity on how these objectives can be operationalized spatially and how multiple targets can be pursued concurrently. To support goal setting and the implementation of international strategies and action plans, spatial guidance is needed to identify which land areas have the potential to generate the greatest synergies between conserving biodiversity and nature's contributions to people. Here we present results from a joint optimization that minimizes the number of threatened species, maximizes carbon retention and water quality regulation, and ranks terrestrial conservation priorities globally.

Comparative assessment of range-wide patterns of genetic diversity and structure with SNPs and microsatellites: A case study with Iberian amphibians.

Reduced representation genome sequencing has popularized the application of single nucleotide polymorphisms (SNPs) to address evolutionary and conservation questions in nonmodel organisms. Patterns of genetic structure and diversity based on SNPs often diverge from those obtained with microsatellites to different degrees, but few studies have explicitly compared their performance under similar sampling regimes in a shared analytical framework. We compared range-wide patterns of genetic structure and diversity in two amphibians endemic to the Iberian Peninsula: and based on microsatellite (18 and 14 loci) and SNP (15,412 and 33,140 loci) datasets of comparable sample size and spatial extent.

Evaluating surrogates of genetic diversity for conservation planning.

Protected-area systems should conserve intraspecific genetic diversity. Because genetic data require resources to obtain, several approaches have been proposed for generating plans for protected-area systems (prioritizations) when genetic data are not available. Yet such surrogate-based approaches remain poorly tested.

Exact integer linear programming solvers outperform simulated annealing for solving conservation planning problems.

The resources available for conserving biodiversity are limited, and so protected areas need to be established in places that will achieve objectives for minimal cost. Two of the main algorithms for solving systematic conservation planning problems are Simulated Annealing (SA) and exact integer linear programing (EILP) solvers. Using a case study in BC, Canada, we compare the cost-effectiveness and processing times of SA used in Marxan versus EILP using both commercial and open-source algorithms.

Global conservation of species' niches.

Environmental change is rapidly accelerating, and many species will need to adapt to survive. Ensuring that protected areas cover populations across a broad range of environmental conditions could safeguard the processes that lead to such adaptations. However, international conservation policies have largely neglected these considerations when setting targets for the expansion of protected areas.

Population genetics of through Papua New Guinea: New cryptic species and landscape topography effects on genetic connectivity.

New Guinea is a topographically and biogeographically complex region that supports unique endemic fauna. Studies describing the population connectivity of species through this region are scarce. We present a population and landscape genetic study on the endemic malaria-transmitting mosquito, (Owen).

Environmental and geographic variables are effective surrogates for genetic variation in conservation planning.

Protected areas buffer species from anthropogenic threats and provide places for the processes that generate and maintain biodiversity to continue. However, genetic variation, the raw material for evolution, is difficult to capture in conservation planning, not least because genetic data require considerable resources to obtain and analyze. Here we show that freely available environmental and geographic distance variables can be highly effective surrogates in conservation planning for representing adaptive and neutral intraspecific genetic variation.

Protected areas and global conservation of migratory birds.

Migratory species depend on a suite of interconnected sites. Threats to unprotected links in these chains of sites are driving rapid population declines of migrants around the world, yet the extent to which different parts of the annual cycle are protected remains unknown. We show that just 9% of 1451 migratory birds are adequately covered by protected areas across all stages of their annual cycle, in comparison with 45% of nonmigratory birds.

Maturation of molybdoenzymes and its influence on the pathogenesis of non-typeable Haemophilus influenzae.

Mononuclear molybdenum enzymes of the dimethylsulfoxide (DMSO) reductase family occur exclusively in prokaryotes, and a loss of some these enzymes has been linked to a loss of bacterial virulence in several cases. The MobA protein catalyzes the final step in the synthesis of the molybdenum guanine dinucleotide (MGD) cofactor that is exclusive to enzymes of the DMSO reductase family. MobA has been proposed as a potential target for control of virulence since its inhibition would affect the activities of all molybdoenzymes dependent upon MGD.

Dealing with uncertainty in landscape genetic resistance models: a case of three co-occurring marsupials.

Landscape genetics lacks explicit methods for dealing with the uncertainty in landscape resistance estimation, which is particularly problematic when sample sizes of individuals are small. Unless uncertainty can be quantified, valuable but small data sets may be rendered unusable for conservation purposes. We offer a method to quantify uncertainty in landscape resistance estimates using multimodel inference as an improvement over single model-based inference.

Effects of threat management interactions on conservation priorities.

Decisions need to be made about which biodiversity management actions are undertaken to mitigate threats and about where these actions are implemented. However, management actions can interact; that is, the cost, benefit, and feasibility of one action can change when another action is undertaken. There is little guidance on how to explicitly and efficiently prioritize management for multiple threats, including deciding where to act.

An overview and evaluation of the oncology family caregiver project: improving quality of life and quality of care for oncology family caregivers.

Objective: With changes in health care, oncology family caregivers (FCs) provide the vast majority of patient care. Yet, FCs assume their role with little or no training and with limited resources within the cancer setting to support them. The purpose of this project is to develop and implement a curriculum to improve the quality of life and quality of care for FCs by strengthening cancer care settings in this area.

Evidence-based practice for staff nurses.

Background: Barriers to the involvement of staff nurses in evidence-based practice include time commitments, staffing challenges, and limited experience in identifying evidence.

Methods: A 1-day, hands-on course focused on small, achievable, evidence-based practice projects; follow-up after the course by a project director; and commitment to implementation of participants' projects by management. Faculty included a librarian who helped with computer searches and a quality assurance representative to facilitate availability of institutional data for project evaluation.

The enduring need for the pain resource nurse (PRN) training program.

Nurses play a pivotal role in pain management but academic nursing curricula remain lacking in basic pain management principles. The purpose of this study was to evaluate the long-term impact of the City of Hope Pain Resource Nurse (PRN) Training Course on nursing pain management practice. An online survey, comparing RNs' pre- and post-training practice, assessed the long-term impact of the course on content application and dissemination.

Disseminating end-of-life education to cancer centers: overview of program and of evaluation.

Background: Systematic provision of compassionate end-of-life (EOL) care requires strategic training of health professionals. Disseminating EOL Education to Cancer Centers (DELEtCC) targeted education of interdisciplinary institutional teams.

Methods: Competitively-selected two-person teams participated in a national three-day EOL conference.