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Populations of two cladoceran species, Alona quadrangularis and Scapholeberis mucronata, were collected from a pond in Puyallup, Washington, and reared under controlled laboratory conditions. Life tables were developed for each species under the same environmental conditions and feeding regimen to develop basic demographic data. We also compared the major demographic parameters of these two wild species with those of several cladoceran species that are commonly used in laboratory research, Daphnia pulex, D. magna, and Ceriodaphnia dubia. Compared to A. quadrangularis, S. mucronata had a much higher net reproductive rate (R0), a longer generation time (T), but a similar intrinsic rate of increase (rm), similar finite rate of increase, similar doubling time (DT), and a lower birth rate (b). Both wild species had lower R0, shorter T, and higher b than in D. pulex, D. magna, and C. dubia. Results of this study showed that demographic rates differed between A. quadrangularis and S. mucronata, and differed from those reported for the other three laboratory species. These results suggest that data developed for commonly used cladoceran species in the laboratory should not be used to make generalizations about effects on wild species. [ABSTRACT FROM AUTHOR]

Decision‐making capacity describes the ability to make a particular decision at a given time. People with Mild Cognitive Impairment (MCI) and mild stage dementia typically experience an associated erosion of their decisional abilities. Many could be said to have marginal capacity. These individuals are in a liminal space between adequate and inadequate capacity. Too often, marginal capacity is overlooked as a category: individuals are classified either as having capacity and being able to make decisions independently or as lacking capacity and needing a surrogate to make decisions for them. These approaches can, respectively, result in under‐ or overprotection of individuals with marginal capacity. A promising alternative approach is supported decision making. In supported decision making, a person with marginal capacity identifies a trusted person or network of persons to aid them in making their own decisions. Supported decision making is recognized by law in a growing number of states; it is important for geriatricians to be familiar with the concept, as they are increasingly likely to encounter it in their practice. Even in states where supported decision making is not formally recognized, it can be practiced informally, helping patients, care partners, and clinicians strike an appropriate balance between respecting autonomy and recognizing vulnerability. In this article, we describe supported decision making, discuss its ethical and legal foundations, and identify steps by which geriatricians can incorporate it into their practice. [ABSTRACT FROM AUTHOR]

Identifying thermal resilience hotspots in freshwater systems enables targeted conservation action, and defining relative ecosystem resilience is important for evaluating the potential consequences of climate change for aquatic ecosystems.The thermal resilience of a river is likely to be affected by variables such as stream order, groundwater depth, flow predictability, water yield (precipitation minus evaporation) and catchment transformation.A database of values for these variables indicating resilience against thermal stress was developed for all sub‐catchments in South Africa. Radar plots show the relative importance of the five variables potentially affecting system resilience. The resilience scores (from 0 to 1) for each variable were summed to generate a total resilience score for each sub‐catchment and used to generate a map of system resilience to thermal stress for South Africa. This was extended to show hotspots in South Africa where river systems were most likely to show high resilience.These areas, in association with other criteria such as conservation value, provide an additional metric for prioritizing freshwater focal areas for restoration and conservation intervention, and identifying climate change refugia. [ABSTRACT FROM AUTHOR]

Quality of life outcomes provide essential information for patients and physicians in oncology care. However, the validity of progression‐free survival (PFS) as a surrogate for quality of life, and the inclusion and reporting of quality of life endpoints in clinical trials, is unclear. We performed a retrospective study of phase III clinical trials of drugs for advanced or metastatic solid tumors published between 2010 and 2015. Correlation coefficient (r) and area under the ROC curve (AUC) for association between PFS and positive quality of life were evaluated. Of the 352 Phase 3 trials included, 190 (54%) included a quality of life endpoint, of which 23% did not report pre‐specified quality of life outcomes; a total of 125,962 patients were enrolled in studies lacking, or not reporting, quality of life outcomes. Among the 147 trials that reported quality of life outcomes, 99 (67%) reported no effect, 38 (26%) reported a positive effect and 10 (7%) reported a negative effect of treatment on patients' global quality of life. The association between PFS and improvement in global quality of life was weak (r = 0.34; AUC = 0.72), as was the association between PFS and improvement in any domain of quality of life. In conclusion, PFS benefit was not strongly correlated with improvements in patients' quality of life, and, despite the palliative intent of treatments in the advanced/metastatic setting, the availability of quality of life data from clinical trials of cancer drugs was poor. What's new? To be a success, a cancer therapy must do more than keep the patient alive, but how is that tested? These authors evaluated how quality of life was studied in Phase 3 clinical trials for cancer drugs. Progression‐free survival is often substituted for overall survival when judging treatments, but can it also stand in for quality of life? The authors looked at 353 Phase 3 trials, and only about half included a quality of life endpoint. They found that PFS only weakly correlated with quality of life, and they urge greater inclusion of quality of life outcomes in future trials. [ABSTRACT FROM AUTHOR]

Abstract: Aim: Biodiversity monitoring and conservation are extremely complex, and surrogate taxa may represent proxies to test methods and solutions. However, cross‐taxon correlations in species diversity (i.e., cross‐taxon congruence) may vary widely with spatial scale. Our goal is to assess how cross‐taxon congruence varies with spatial scale in European temperate forests. We expect that congruence in species diversity increases when shifting from fine to coarse spatial scales, with differences between species richness and composition, and across pairs of taxonomic groups. Location: European temperate forests. Time period: Present. Major taxa studied: Vascular plants, bryophytes, birds, epiphytic lichens, saproxylic beetles and wood‐inhabiting fungi. Methods: We used field data (354 plots across 23 sites) encompassing Italy, France and Hungary, with species information for six taxonomic groups. We accounted separately for spatial grain (the size of elementary sampling unit) and extent (the geographical area included in the survey) and evaluated the relationships within all the possible pairs of taxa. Results: Although no pair of taxa had its species richness consistently correlated across scales, we found no changes in the direction of correlations when analysing species composition. However, when increasing grain and extent, we did find a general increase in the magnitude of correlations in species composition and partial changes in significance, with plants having the highest number of significant correlations. Main conclusions: Species richness congruence among taxa is strongly scale dependent owing to differences in the relative contribution of large‐ and small‐scale processes across taxa. Cross‐taxon congruence in species composition is scale dependent only for its magnitude, because life‐history traits of individual species make responses to environmental factors similar across scales. Forest monitoring should consider multi‐taxon sampling and limit the use of surrogates at specific spatial scales, especially for species richness. Sampling plant species composition in scattered plots across different sites may effectively summarize the whole community composition. [ABSTRACT FROM AUTHOR]

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Establishing protected areas has long been an effective conservation strategy and is often based on readily surveyed species. The potential of any freshwater taxa to be a surrogate for other aquatic groups has not been explored fully. We compiled occurrence data on 72 species of freshwater fishes, amphibians, mussels, and aquatic reptiles for the Great Plains, Wyoming (U.S.A.). We used hierarchical Bayesian multispecies mixture models and MaxEnt models to describe species' distributions and the program Zonation to identify areas of conservation priority for each aquatic group. The landscape-scale factors that best characterized aquatic species' distributions differed among groups. There was low agreement and congruence among taxa-specific conservation priorities (<20%), meaning no surrogate priority areas would include or protect the best habitats of other aquatic taxa. Common, wideranging aquatic species were included in taxa-specific priority areas, but rare freshwater species were not included. Thus, the development of conservation priorities based on a single freshwater aquatic group would not protect all species in the other aquatic groups. [ABSTRACT FROM AUTHOR]

Purpose The aim of this study was to evaluate a surrogate-driven motion model based on four-dimensional computed tomography that is able to predict CT volumes corresponding to arbitrary respiratory phases. Furthermore, the comparison of three different driving surrogates is examined and the feasibility of using the model for 4D dose re-calculation will be discussed. Methods The study is based on repeated 4 DCTs of twenty patients treated for bronchial carcinoma and metastasis. The motion model was estimated from the planning 4 DCT through deformable image registration. To predict a certain phase of a follow-up 4 DCT, the model considers inter-fractional variations (baseline correction) and intra-fractional respiratory parameters (amplitude and phase) derived from surrogates. The estimated volumes resulting from the model were compared to ground-truth clinical 4 DCTs using absolute HU differences in the lung region and landmarks localized using the Scale Invariant Feature Transform. Finally, the γ-index was used to evaluate the dosimetric effects of the intensity differences measured between the estimated and the ground-truth CT volumes. Results The results show absolute HU differences between estimated and ground-truth images with median value (± standard deviation) of (61.3 ± 16.7) HU. Median 3D distances, measured on about 400 matching landmarks in each volume, were (2.9 ± 3.0) mm. 3D errors up to 28.2 mm were found for CT images with artifacts or reduced quality. Pass rates for all surrogate approaches were above 98.9% with a γ-criterion of 2%/2 mm. Conclusion The results depend mainly on the image quality of the initial 4 DCT and the deformable image registration. All investigated surrogates can be used to estimate follow-up 4 DCT phases, however, uncertainties decrease for volumetric approaches. Application of the model for 4D dose calculations is feasible. [ABSTRACT FROM AUTHOR]

Abstract: Biodiversity research is often impeded by the time and resources required to identify species. One possible solution is to use higher taxa to predict species richness and community composition. However, previous studies have shown that the performance of higher taxa as surrogates for species is highly variable, making it difficult to predict whether the method will be reliable for a particular objective. Using 8 independent datasets, I tested whether higher taxa accurately characterize the responses of beetle and ant communities to environmental drivers. For each dataset, ordinations were carried out using species and higher taxa, and the two compared using the Procrustes m² statistic (a scale‐independent variant of Procrustes sum of squares). I then modelled the relationship between five hypothesised explanatory variables and 1) Procrustes m², and 2) the coefficient of determination (R²) for the correlation between richness of species and higher taxa. The species to higher taxon ratio, community structure, beta diversity, completeness of sampling, and taxon (beetles or ants) were all significant predictors of m², together explaining 88% of the variance. The only significant predictor of R² was the species to higher taxon ratio, which explained 45% of the variance. When using higher taxa to predict community composition, better performance is expected when the ratio of species to higher taxa is low, in communities with high evenness and high species turnover, and when there is niche conservation within higher taxa. When using higher taxa to predict species richness, effective surrogacy can be expected when the species to higher taxon ratio is very low. When it is not, surrogacy performance may be strongly influenced by stochastic factors, making predictions of performance difficult. [ABSTRACT FROM AUTHOR]

Objectives To understand the perspectives of both patients and the person who would make medical decisions for them if they were unable (surrogates) on their participation in advance care planning ( ACP). Design Qualitative cross-sectional study. Setting Community. Participants Thirty-one veterans age 55 years and older and their surrogates. Measurements In interviews conducted with both the veteran and surrogate, they were asked to discuss their participation in four ACP activities: communication about life-sustaining treatment, communication about views on quality of life, completion of a living will, and appointment of a healthcare proxy. They were asked about barriers to and facilitators of ACP engagement. When they did not agree about engagement, they each provided their perspective on what they believed had or had not occurred. Results Many of the same barriers to and facilitators of engagement were discussed by both patients and surrogates. These included difficulty thinking about dying, differences in values, and experiences with others that demonstrated the ability of ACP to decrease burden or avoid conflict. Reasons for disagreements in perceptions about whether communication had occurred included surrogates' need for more detailed information, surrogates' lack of readiness to hear what the patient was saying, and surrogates' reliance on what they know about the patient. For some dyads, participation in the study prompted additional communication, resulting in a better shared understanding of ACP engagement. Conclusion Surrogates can both impede and facilitate engagement in ACP, and they can hold different perceptions from patients regarding this engagement. Efforts to promote ACP may be most successful if they assess and address both patients' and surrogates' attitudes and help to facilitate clear communication between them. [ABSTRACT FROM AUTHOR]

Complexity in solving real-world multicriteria optimization problems often stems from the fact that complex, expensive, and/or time-consuming simulation tools or physical experiments are used to evaluate solutions to a problem. In such settings, it is common to use efficient computational models, often known as surrogates or metamodels, to approximate the outcome (objective or constraint function value) of a simulation or physical experiment. The presence of multiple objective functions poses an additional layer of complexity for surrogate-assisted optimization. For example, complexities may relate to the appropriate selection of metamodels for the individual objective functions, extensive training time of surrogate models, or the optimal use of many-core computers to approximate efficiently multiple objectives simultaneously. Thinking out of the box, complexity can also be shifted from approximating the individual objective functions to approximating the entire Pareto front. This leads to further complexities, namely, how to validate statistically and apply the techniques developed to real-world problems. In this paper, we discuss emerging complexity-related topics in surrogate-assisted multicriteria optimization that may not be prevalent in nonsurrogate-assisted single-objective optimization. These complexities are motivated using several real-world problems in which the authors were involved. We then discuss several promising future research directions and prospective solutions to tackle emerging complexities in surrogate-assisted multicriteria optimization. Finally, we provide insights from an industrial point of view into how surrogate-assisted multicriteria optimization techniques can be developed and applied within a collaborative business environment to tackle real-world problems. [ABSTRACT FROM AUTHOR]

Metal carbenes usually possess versatile reactivities that are controlled by the presence of both the metals and the ligands. Diazo compounds are commonly used for the generation of such species through elimination of nitrogen. However, they are often unstable, explosive, and toxic, which limits their applications in large-scale syntheses. Thus, identifying sustainable and safe surrogates for the generation of metal carbenes has attracted great attention. In this Review, we summarize some of the most important breakthroughs in the generation, catalytic reactions, and selectivity control of metal carbenes from non-diazo starting compounds. [ABSTRACT FROM AUTHOR]

Spatially explicit information on species distributions for conservation planning is invariably incomplete; therefore, the use of surrogates is required to represent broad-scale patterns of biodiversity. Despite significant interest in the effectiveness of surrogates for predicting spatial distributions of biodiversity, few researchers have explored questions involving the ability of surrogates to incidentally represent unknown features of conservation interest. We used the Great Barrier Reef marine reserve network to examine factors affecting incidental representation of conservation features that were unknown at the time the reserve network was established. We used spatially explicit information on the distribution of 39 seabed habitats and biological assemblages and the conservation planning software Marxan to examine how incidental representation was affected by the spatial characteristics of the features; the conservation objectives (the minimum proportion of each feature included in no-take areas); the spatial configuration of no-take areas; and the opportunity cost of conservation. Cost was closely and inversely correlated to incidental representation. However, incidental representation was achieved, even in a region with only coarse-scale environmental data, by adopting a precautionary approach that explicitly considered the potential for unknown features. Our results indicate that incidental representation is enhanced by partitioning selection units along biophysical gradients to account for unknown within-feature variability and ensuring that no-take areas are well distributed throughout the region; by setting high conservation objectives that (in this case >33%) maximize the chances of capturing unknown features incidentally; and by carefully considering the designation of cost to planning units when using decision-support tools for reserve design. The lessons learned from incidental representation in the Great Barrier Reef have implications for conservation planning in other regions, particularly those that lack detailed environmental and ecological data. [ABSTRACT FROM AUTHOR]

Keeping track of conceptual and methodological developments is a critical skill for research scientists, but this task is increasingly difficult due to the high rate of academic publication. As a crisis discipline, conservation science is particularly in need of tools that facilitate rapid yet insightful synthesis. We show how a common text-mining method (latent Dirichlet allocation, or topic modeling) and statistical tests familiar to ecologists (cluster analysis, regression, and network analysis) can be used to investigate trends and identify potential research gaps in the scientific literature. We tested these methods on the literature on ecological surrogates and indicators. Analysis of topic popularity within this corpus showed a strong emphasis on monitoring and management of fragmented ecosystems, while analysis of research gaps suggested a greater role for genetic surrogates and indicators. Our results show that automated text analysis methods need to be used with care, but can provide information that is complementary to that given by systematic reviews and meta-analyses, increasing scientists' capacity for research synthesis. [ABSTRACT FROM AUTHOR]

Paraformaldehyde (PFA), with the chemical formula CxHyOz, an infinite solid form of formaldehyde, is a very useful reagent in classical organic reactions. Numerous applications have been explored both in the chemical industry and organic chemistry research laboratories. In this general review, we have summarized the main achievements in the use of paraformaldehyde in organic reactions with transition metals as the catalysts. In these methodologies, paraformaldehyde has been applied as methylene blocks, hydroxymethylation reagents, CO source, syngas surrogate, hydrogen donor or acceptor, formylation and methylation reagents. Additionally, in order to make this review systematic, recent reported organocatalyzed transformations of paraformaldehyde have been included as well. 1 Introduction 2 As Methylene (¢CH2 ¢) Building Block 2.1 Catalytic Homologation of Alkynes 2.2 Catalyzed Formation of Diarylmethanes 2.3 Other Applications as ¢CH2 ¢ Unit 3 As Hydroxymethylation Reagent 3.1 Hydroxymethylation of Carbonyl Substrates 3.2 Reductive Hydroxymethylation of Allenes, Alkenes and Alkynes 3.3 Hydromethoxylation of Boronic Acids 4 As CO Source 4.1 Carbonylation Reactions 4.2 Hydroformylations Reactions 5 As Hydrogen Donor and Accepter 6 As Formylation and Methylation Reagents 6.1 Methylation Reagent 6.2 Formylation Reagent 7 Conclusion. [ABSTRACT FROM AUTHOR]

Because many species have not been described and most species ranges have not been mapped, conservation planners often use surrogates for conservation planning, but evidence for surrogate effectiveness is weak. Surrogates are well-mapped features such as soil types, landforms, occurrences of an easily observed taxon (discrete surrogates), and well-mapped environmental conditions (continuous surrogate). In the context of reserve selection, the idea is that a set of sites selected to span diversity in the surrogate will efficiently represent most species. Environmental diversity (ED) is a rarely used surrogate that selects sites to efficiently span multivariate ordination space. Because it selects across continuous environmental space, ED should perform better than discrete surrogates (which necessarily ignore within-bin and between-bin heterogeneity). Despite this theoretical advantage, ED appears to have performed poorly in previous tests of its ability to identify 50 × 50 km cells that represented vertebrates in Western Europe. Using an improved implementation of ED, we retested ED on Western European birds, mammals, reptiles, amphibians, and combined terrestrial vertebrates. We also tested ED on data sets for plants of Zimbabwe, birds of Spain, and birds of Arizona (United States). Sites selected using ED represented European mammals no better than randomly selected cells, but they represented species in the other 7 data sets with 20% to 84% effectiveness. This far exceeds the performance in previous tests of ED, and exceeds the performance of most discrete surrogates. We believe ED performed poorly in previous tests because those tests considered only a few candidate explanatory variables and used suboptimal forms of ED's selection algorithm. We suggest future work on ED focus on analyses at finer grain sizes more relevant to conservation decisions, explore the effect of selecting the explanatory variables most associated with species turnover, and investigate whether nonclimate abiotic variables can provide useful surrogates in an ED framework. [ABSTRACT FROM AUTHOR]

Objective To obtain normative data on the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) personality test for gestational surrogate (GS) candidates. Methods A retrospective study was undertaken through chart review of all GS candidates assessed at Shady Grove Fertility Center, Rockville, MD, USA, between June 2007 and December 2009. Participants completed the MMPI-2 test during screening. MMPI-2 scores, demographic information, and screening outcome were retrieved. Results Among 153 included candidates, 132 (86.3%) were accepted to be a GS, 6 (3.9%) were ruled out because of medical reasons, and 15 (9.8%) were ruled out because of psychological reasons. The mean scores on each of the MMPI-2 scales were within the normal range. A score of more than 65 (the clinical cutoff) was recorded on the L scale for 46 (30.1%) candidates, on the K scale for 61 (39.9%), and on the S scale for 84 (54.9%). Women who were ruled out for psychological reasons had significantly higher mean scores on the validity scales F and L, and on clinical scale 8 than did women who were accepted ( P < 0.05 for all). Conclusion Most GS candidates are well adjusted and free of psychopathology, but candidates tend to present themselves in an overly positive way. [ABSTRACT FROM AUTHOR]

The adequate selection of indicator groups of biodiversity is an important aspect of the systematic conservation planning. However, these assessments differ in the spatial scales, in the methods used and in the groups considered to accomplish this task, which generally produces contradictory results. The quantification of the spatial congruence between species richness and complementarity among different taxonomic groups is a fundamental step to identify potential indicator groups. Using a constructive approach, the main purposes of this study were to evaluate the performance and efficiency of eight potential indicator groups representing amphibian diversity in the Brazilian Atlantic Forest. Data on the geographic range of amphibian species that occur in the Brazilian Atlantic Forest were overlapped to the full geographic extent of the biome, which was divided into a regular equal-area grid. Optimization routines based on the concept of complementarily were applied to verify the performance of each indicator group selected in relation to the representativeness of the amphibians in the Brazilian Atlantic Forest as a whole, which were solved by the algorithm 'simulated annealing,' through the use of the software MARXAN. Some indicator groups were substantially more effective than others in regard to the representation of the taxonomic groups assessed, which was confirmed by the high significance of the data ( F = 312.76; P < 0.01). Leiuperidae was considered as the best indicator group among the families analyzed, as it showed a good performance, representing 71% of amphibian species in the Brazilian Atlantic Forest (i.e., 290 species), which may be associated with the diffuse geographic distribution of their species. In this sense, this study promotes understanding of how the diversity standards of amphibians can be informative for systematic conservation planning on a regional scale. [ABSTRACT FROM AUTHOR]

Questions Is phylogenetic diversity ( PD) an accurate surrogate for functional diversity ( FD)? How are FD: PD correlations affected by the diversity index used, covarying factors and/or the strength of the phylogenetic signal in ecological traits? Location Field study, coastal marsh plain Mekhada, Algeria, complemented by simulated data. Methods FD and PD indices might correlate simply because variation in species richness and evenness (referred to as co-factors) influences both FD and PD values. We partition FD and PD indices into components influenced by species richness, evenness and species' (functional and phylogenetic) characteristics. When a simple partition was not found, comparison to null models was used to remove the effects of co-factors. We examined correlations between ten FD and PD indices, among which several were shown to be connected using our mathematical partitioning approach and several were transformed by comparison with null models to control for effects of co-factors. In doing this, FD values were calculated using simulated trait values with varying phylogenetic signal. We then selected a subset of complementary FD and PD indices in exploring the influence of environmental variables on diversity across 75 plant assemblages in Mekhada. Results Altogether, mathematical partitioning and the comparison to null models successfully removed the effects of co-factors when comparing FD and PD. For all indices affected by species richness, FD: PD correlations approached 1, irrespective of the trait evolution model used. In contrast, simulations showed that FD: PD correlations measured with indices unaffected by co-factors decreased when the phylogenetic signal in traits decreased. Applied to plant assemblages in Mekhada, complementary diversity indices showed that, despite significant (but moderate) FD: PD correlation, FD but not PD was significantly correlated with the main stress gradient (salinity). Conclusions From both our simulations and analysis of plant community diversity, PD was a poor surrogate for FD. In Mekhada, PD was also less correlated with environmental variables than FD. Species richness was found to be a better surrogate for FD than PD in identifying the ecological processes that distribute species along the salinity gradient. [ABSTRACT FROM AUTHOR]

Question Is the strength of phylogenetic trait conservatism in the species pool reflected in the ability of α- and β-scale phylogenetic diversity indicators to detect niche-based assembly processes along stress gradients? Methods We used a simple community assembly model to explore the power of indicators of phylogenetic community structure to detect assembly processes. The model assumes that with declining stress the influence of niche complementarity on species fitness increases, while that of environmental filtering decreases. We separately incorporated two trait-independent stochastic processes - mass and priority effects - in simulating species occurrences and abundances along a hypothetical stress gradient. We measured power for α- and β-scale indices of phylogenetic diversity ( PD) as the proportion of simulations yielding a significant correlation between these indices and the community position along the stress gradient. For α-scale indices, we ran simulations where species richness was constant along the gradient, or either increased, decreased or varied randomly with declining stress. We used four models of trait evolution, differing in the degree of phylogenetic trait conservatism, to examine how variation in the influence of phylogeny on trait variation impacted the power of PD indices. Results None of the PD indices gave high power to detect assembly processes for either the mass effects or priority effects model, even when trait variation was strongly conserved. Those measures of α PD that gave moderate power in the priority-effects model with strong trait conservatism were greatly affected by variation in species richness. Consequently, none of the indices examined met the necessary selection criteria. Additional analyses revealed that trait conservatism at the species pool level was poorly maintained at the meta-community scale, with phylogenetically-determined species composition having only moderate power to detect functionally-determined species turnover. This lack of a strong phylogenetic signal in trait variation at the meta-community scale is the most likely explanation for the poor ability of PD indices to detect assembly processes in our study. Conclusion Phylogenetic diversity indices seem to have limited ability to detect trait-based assembly processes along ecological gradients, even when trait conservatism at the species pool level is strong. Consequently, PD is unlikely to provide a means of avoiding the tough decisions around which traits are most relevant for assembly processes. Rather, our findings emphasize the need to collect relevant functional trait data to understand the mechanisms controlling community assembly. [ABSTRACT FROM AUTHOR]

The Woundcare for Epidermolysis bullosa (WEB) project aims to enable people with Epidermolysis bullosa (EB), their carers and clinicians to co-produce wound care products to meet their needs. EB is an inherited disorder causing extensive, painful skin blistering and wounds. It is relatively rare, with approximately 300 000 patients worldwide, but it incurs high costs (up to £50 000 per month on products alone). During the course of four workshops, adults with EB, their carers and specialist nurses gave detailed accounts of their experiences with pre-sized, pre-shaped dressings, including the need to patchwork individual dressings over large areas of broken skin. Five themes were identified from the workshop data relating to the limitations of existing products for EB wounds: dressing fit, stability, comfort, temperature and exudate. Novel designs were generated from these themes and although the intention was to develop the designs iteratively with the workshop participants, issues arose necessitating the interim use of surrogates. Our account of the design process is given, presenting the arguments for and against the use of surrogates, with suggestions for incorporating surrogate input into product development in a way that does not undermine the integrity of patient experiences or the co-production process. [ABSTRACT FROM AUTHOR]

1. Community concordance measures the level of association between the compositional patterns shown by two groups of organisms. If strong community concordance occurs, one group could be used as a surrogate for another in conservation planning and biodiversity monitoring. In this study, we evaluated the variability in the strength of community concordance, the likely mechanisms underlying community concordance and the degree to which one community can predict another in a set of Neotropical floodplain lakes (Upper Paraná River floodplain, Brazil). 2. We used a data set including six aquatic communities: fish, macrophytes, benthic macroinvertebrates, zooplankton, phytoplankton and periphyton. We used Mantel and PROTEST approaches to evaluate the levels of community concordance in up to four sampling periods. Also, we used partial Mantel test and information about biotic interactions to investigate reasons for observed patterns of concordance. Finally, we used co-correspondence analysis to evaluate the performance of one taxonomic group in predicting the structures of other communities. 3. The levels of community concordance varied over time for almost all cross-taxa comparisons. Concordance between phytoplankton and periphyton probably resulted from similar responses to environmental gradients, whereas other patterns of concordance were likely generated by interactions among groups. However, the levels of predictability were low, and no particular taxonomic group significantly predicted all other groups. 4. The low and temporally variable levels of community concordance cast doubts on the use of surrogate groups for biodiversity management in Neotropical floodplains. [ABSTRACT FROM AUTHOR]

Aim Recent efforts to apply the principles of systematic conservation planning to freshwater ecosystems have focused on the special connected nature of these systems as a way to ensure adequacy (long-term maintenance of biodiversity). Connectivity is important in maintaining biodiversity and key ecological processes in freshwater environments and is of special relevance for conservation planning in these systems. However, freshwater conservation planning has focused on longitudinal connectivity requirements within riverine ecosystems, while other habitats, such as floodplain wetlands or lakes and connections among them, have been overlooked. Here, we address this gap by incorporating a new component of connectivity in addition to the traditional longitudinal measure. Location Northern Australia. Methods We integrate lateral connections between freshwater areas (e.g. lakes and wetlands) that are not directly connected by the river network and the longitudinal upstream-downstream connections. We demonstrate how this can be used to incorporate ecological requirements of some water-dependent taxa that can move across drainage divides, such as waterbirds. Results When applied together, the different connectivity rules allow the identification of priority areas that contain whole lakes or wetlands, their closest neighbours whenever possible, and the upstream/downstream reaches of rivers that flow into or from them. This would facilitate longitudinal and lateral movements of biota while minimizing the influence of disturbances potentially received from upstream or downstream reaches. Main conclusions This new approach to defining and applying different connectivity rules can help improve the adequacy of freshwater-protected areas by enhancing movements of biodiversity within priority areas. The integration of multiple connectivity needs can also serve as a bridge to integrate freshwater and terrestrial conservation planning. [ABSTRACT FROM AUTHOR]

Conservation biology has provided wildlife managers with a wealth of concepts and tools for use in conservation planning; among them is the surrogate species concept. Over the past 20 years, a growing body of empirical literature has demonstrated the limited effectiveness of surrogates as management tools, unless it is first established that the target species and surrogate will respond similarly to a given set of environmental conditions. Wildlife managers and policy makers have adopted the surrogate species concept, reflecting the limited information available on most species at risk of extirpation or extinction and constraints on resources available to support conservation efforts. We examined the use of surrogate species, in the form of cross-taxon response-indicator species (that is, one species from which data are used to guide management planning for another, distinct species) in the Sacramento-San Joaquin Delta, California (U.S.A.). In that system there has been increasing reliance on surrogates in conservation planning for species listed under federal or state endangered species acts, although the agencies applying the surrogate species concept did not first validate that the surrogate and target species respond similarly to relevant environmental conditions. During the same period, conservation biologists demonstrated that the surrogate concept is generally unsupported by ecological theory and empirical evidence. Recently developed validation procedures may allow for the productive use of surrogates in conservation planning, but, used without validation, the surrogate species concept is not a reliable planning tool. [ABSTRACT FROM AUTHOR]

Our knowledge of cryptogam taxonomy and species distributions is currently too poor to directly plan for their conservation. We used inventory data from four distinct vegetation types, near Hobart Tasmania, to address the proposition that vegetation type, vascular plant taxon composition, and environmental variables can act as surrogates for mosses and macrofungi in reservation planning. The four vegetation types proved distinct in their taxon composition for all macrofungi, mosses, and vascular plants. We tested the strength of the relationships between the composition of cryptogam taxonomic groups and vascular plant composition and between the environmental variables and canopy cover. Taxon composition of woody vascular plants and vascular plants was the best predictor of the taxon composition of mosses and macrofungi. Combinations of environmental variables and canopy cover were also strong predictors of the taxon composition of mosses and macrofungi. We used an optimization routine for vascular plant taxa and woody plant species and determined the representation of cryptogam taxa in these selections. We identified sites with approximately 10% and 30% of the greatest proportions of vascular plants and woody vascular plants and calculated representation of mosses and macrofungi at these sites. We compared the results of these site selections with random site selections and random selections stratified by vegetation type. Random selection of sites by vegetation type generally captured more cryptogams than site selection by vascular plants at the 10% level. Vascular plant and woody plant taxon composition, vegetation type, and environmental and structural characteristics, all showed promise as surrogates for capturing common cryptogams in reserve systems. [ABSTRACT FROM AUTHOR]

A generic framework for setting conservation priorities based on the principles of classic decision theory is provided. This framework encapsulates the key elements of any problem, including the objective, the constraints, and knowledge of the system. Within the context of this framework the broad array of approaches for setting conservation priorities are reviewed. While some approaches prioritize assets or locations for conservation investment, it is concluded here that prioritization is incomplete without consideration of the conservation actions required to conserve the assets at particular locations. The challenges associated with prioritizing investments through time in the face of threats (and also spatially and temporally heterogeneous costs) can be aided by proper problem definition. Using the authors’ general framework for setting conservation priorities, multiple criteria can be rationally integrated and where, how, and when to invest conservation resources can be scheduled. Trade-offs are unavoidable in priority setting when there are multiple considerations, and budgets are almost always finite. The authors discuss how trade-offs, risks, uncertainty, feedbacks, and learning can be explicitly evaluated within their generic framework for setting conservation priorities. Finally, they suggest ways that current priority-setting approaches may be improved. [ABSTRACT FROM AUTHOR]

The identification of priority areas for biodiversity conservation is a cornerstone of systematic conservation planning. However, biodiversity, or even the distribution of all species, cannot be directly quantified, due to the inherent complexity of natural systems. Species indicator groups may serve as important tools for the identification of priority areas for conservation. Yet, it is unclear which factors make certain indicator groups perform better than others. In this study, using data on the Danish distribution of 847 species of plants, vertebrates and insects, we assessed whether the taxonomic diversity in species indicator groups influence their effectiveness in the identification of priority areas for species conservation. We tested whether indicator groups comprising a higher taxonomic diversity (i.e. indicator groups consisting of species from many different taxonomic groups) perform better than indicator groups comprising a lower taxonomic diversity. The performance of the indicator groups was evaluated on target groups, which, in terms of species composition, were independent of the indicator groups. Overall, we found that using taxonomically diverse indicator groups did not consistently increase the coverage of target species than when using less taxonomically diverse indicator groups. However, indicator groups chosen solely from one taxon were outperformed by taxonomically diverse groups. Second, we found that taxonomic diversity of the indicator did not influence the taxonomic diversity of the covered target species (in terms of number of represented families, orders, etc.) Thus, taxonomic diversity per se only had a marginal influence on the performance of indicator groups. Distributional characteristics, such as the proportion of species with narrow range sizes, had a larger impact on indicator performance. Our results suggest that it might be of minor importance to consider taxonomic diversity when acquiring species data for future conservation projects using indicator groups. [ABSTRACT FROM AUTHOR]

Limited by the availability of data, conservation planners must use surrogates for biodiversity when selecting conservation areas. Although several methods have been proposed for selecting surrogates, no clear set of species attributes have been described that allow for the efficient a priori selection of surrogate groups. We used a database of 1449 species in two regions of the United States to (1) examine the consistency in the performance of simple taxonomic-based surrogates of biodiversity and (2) test five hypotheses proposed to explain surrogate performance. First, we compared the ability of sites selected to protect members of seven surrogate groups to protect non-surrogate species in the north-western United States and in the Middle-Atlantic region of the eastern United States. Then, in a separate analysis, we tested whether surrogate performance could be explained by (1) taxonomic diversity; (2) nested species distributions; (3) hotspots of biodiversity; (4) species range sizes; (5) environmental diversity. Our first analysis revealed little consistency in the performance of surrogates in the two different study regions. For example, butterflies provided protection for 76% of all other species in the north-western United States but only 56% of all other species in the eastern United States. Our second analysis revealed only weak associations between species characteristics and surrogate performance. Furthermore, these associations proved inadequate for selecting successful surrogates across study regions. Overall, our results suggest that in lieu of searching for optimal surrogate groups, research efforts will be better spent by developing alternative methods for assessing conservation value in areas where data on species distributions are limited. [ABSTRACT FROM AUTHOR]

Listeria innocua M1 has been used by many researchers as a nonpathogenic thermal processing surrogate for Listeria monocytogenes. However, L. innocua M1 has been criticized because its thermal survivability characteristics are not as closely parallel to L. monocytogenes as some would like in a variety of foods and processing conditions. The present study was conducted to compare multiple L. innocua and L. monocytogenes strains to validate L. innocua M1 as the ideal surrogate under high-temperature thermal processing conditions for L. monocytogenes. The D- and z-values of L. innocua M1, L. innocua strain SLCC 5639 serotype (6a), SLCC 5640 (6b), SLCC 2745 (4ab), and L. monocytogenes F4243 (4b) were calculated for raw hamburger patties. Hamburger patties were inoculated with 107–8 CFU/g of L. monocytogenes or L. innocua. Samples were heat treated at 4 temperatures (62.5 to 70 °C). At each temperature, the decimal reduction time ( D-value) was obtained by linear regression of survival curves. The D- and z-values were determined for each bacterium. The D-values of L. innocua and L. monocytogenes serotypes ranged from 3.17 to 0.13 min at 62.5 to 70 °C, and the z-values of L. innocua and L. monocytogenes were 7.44 to 7.73 °C. Two of the 4 L. innocua serotypes used in this experiment have the potential for use as surrogates in hamburger meat with varying margins of safety. L. innocua M1 should serve as the primary nonpathogenic surrogate with the greatest margin of safety in verifying a new thermal process to destroy L. monocytogenes. [ABSTRACT FROM AUTHOR]

1. In many biodiversity surveys, a small proportion of species require a disproportionate amount of a researcher's time and effort to detect or identify. If we are interested in predicting species diversity or composition, what are the consequences for statistical power of ignoring difficult species – that is, of surveying only a subset of the full suite of species? 2. We analysed 10 data sets on a variety of taxa, at different spatial scales, to assess correlations for species richness and species composition between a full data set and subsets of data with different numbers of species deleted at random, or according to the time investment required for inclusion. Power analyses characterized the trade-off between the number of sites surveyed and the completeness of the survey in each site. 3. For species richness, the majority of information regarding among-site patterns was retained even with large numbers of species removed. With only half the full species pool, the lower 95th percentile of correlations between the full vs. randomly generated reduced data sets was >0·75 in all 10 cases. With 10% of the full species pool removed, correlations were 0·95. 4. Subsets of species were not as good at capturing among-site patterns of species composition (ordination scores and pairwise site dissimilarities). With half the full species pool, lower 95th percentile correlations between the full and randomly generated reduced data sets were as low as 0·1. Nonetheless, in most cases the lower 95th percentile correlation with half the number of species was >0·7, and removing 10% of species gave correlations >0·8 across all data sets. 5. For the three data sets in which species were also removed according to the time investment for inclusion, correlations fell within the range of variability observed for random species removals. 6. Synthesis and applications. In biological surveys, ignoring a relatively small proportion of species (e.g. <10%), and often a much larger proportion, results in very little loss of information on patterns of biodiversity. As such, statistical power in many biodiversity studies may be maximized by eliminating difficult species from a survey in order to increase the number of sites surveyed. [ABSTRACT FROM AUTHOR]

The relationship between grain yield and carbon isotope discrimination (Δ) was analysed in wheat grown under different water regimes in the Ningxia Province (north-west of China). When the association was significant, the relationships between grain yield, Δ and other drought tolerance related traits, such as leaf ash content ( m a), chlorophyll concentration (Chl), relative water content (RWC), stomatal conductance ( gS) and the ratio of internal CO2 leaf concentration to ambient CO2 concentration ( Ci/ Ca), were also examined. Using correlation analysis, the relationships were determined during two consecutive years in a set of 20 spring wheat cultivars (landraces, improved varieties and advanced lines) under rainfed and irrigated conditions, including saline conditions. The relationship between Δ and yield within environments highly depended on the quantity of water stored in the soil at sowing, the quantity and distribution of rainfall during the growth cycle, and the irrigation before anthesis. Δ predicted grain yield under limited irrigation (post-anthesis water stress) but not under pre-anthesis water stress (rainfed conditions), fully irrigated and saline conditions. Under limited irrigation, grain Δ correlated significantly to grain yield leaf m a at heading and maturity. It also significantly positively correlated to Chl, RWC, gS and Ci/ Ca assessed at anthesis. A precise characterization of the timing and intensity of the abiotic constraints experienced by the crop is consequently needed before implementing the use of Δ in wheat breeding programmes. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To determine the role terminally ill patients would opt to have their loved ones and physicians play in healthcare decisions should they lose decision-making capacity and how this changes over time. DESIGN: Serial interviews. SETTING: The study institutions were The Johns Hopkins Medical Institutions in Baltimore, Maryland, and St. Vincent's Hospital, in New York. PARTICIPANTS: One hundred forty-seven patients with cancer, amyotrophic lateral sclerosis, or heart failure, at baseline and 3 and 6 months. RESULTS: Patients' baseline decision control preferences varied widely, but most opted for shared decision-making, leaning slightly toward independence from their loved ones. This did not change significantly at 3 or 6 months. Fifty-seven percent opted for the same degree of decision control at 3 months as at baseline. In a generalized estimating equation model adjusted for time, more-independent decision-making was associated with college education ( P=.046) and being female ( P=.01), whereas more-reliant decision-making was associated with age ( P<.001). Patients leaned toward more reliance upon physicians to make best-interest determinations at diagnosis but opted for physicians to decide based upon their own independent wishes (substituted judgment) over time, especially if college educated. CONCLUSION: Terminally ill patients vary in how much they wish their own preferences to control decisions made on their behalf, but most would opt for shared decision-making with loved ones and physicians. Control preferences are stable over time with respect to loved ones, but as they live longer with their illnesses, patients prefer somewhat less reliance upon physicians. [ABSTRACT FROM AUTHOR]

Three speciose plant families (Asteraceae, Fabaceae s.l., and Poaceae) are evaluated for their appropriateness as predictors of overall regional patterns of plant diversity in Mexico. These families fulfil criteria for usefulness as indicators advocated by several authors, such as adequate taxonomic knowledge, wide geographical distribution, and occurrence in different plant communities. Known richness was determined from a database including 17,903 species from floristic inventories, review of taxonomic literature, and the study of herbarium specimens. Mexico was divided into 253 cells, each 1° latitude by 1° longitude; for each cell, total plant diversity and number of species in each predictor's family were determined. In addition, each species was categorized by ‘preferred’ vegetation type (temperate forest, dry tropical forest, humid tropical forest, xerophytic scrubland). Both multiple and simple regression models show that the three families are good predictors of total vascular floristic richness. Fabaceae s.l. has the highest semipartial correlations for all multiple models except with the xerophytic scrubland data set, for which it shares the highest values with Poaceae. Univariate models also predict satisfactorily the vascular floristic richness, especially when Fabaceae s.l. is used as the predictor, and the effect of vegetation type is included. Our results indicate that these three families can be used as potential predictors for total vascular plant species richness in Mexico although Fabaceae s.l. is the best predictor. [ABSTRACT FROM AUTHOR]

1. Surrogates aim to predict species diversity and to minimize sampling effort. Here the value of surrogates for marine macroalgae is tested. 2. Higher taxonomic levels and dominant taxa were evaluated as surrogates for detecting patterns in macroalgal species diversity (derived from species-level biomass data) in the Recherche Archipelago, Western Australia. 3. Data were stratified by two island groups (inshore and offshore), three depth intervals (<10m, 10–20m, > 20m), and two exposures to wave energy. Correlations between similarity matrices from surrogate and species diversity data matrices were analysed using a modified Spearman rank correlation (rs). The ability of surrogates to detect differences between exposures to wave energy was also investigated using analysis of similarity. Species diversity data were aggregated to higher taxonomic levels and were either fourth-root or presence/absence (richness) transformed. 4. Species richness was the most consistent surrogate (rs-values > 0.69, P = 0.001). Genus-level richness was also strongly correlated to species diversity in the Recherche Archipelago, except in depths < 10m where patterns in diversity were characterized by species turnover. 5. At offshore islands in depths 10–20 m and > 20 m, family- and order-level biomass data were suitable surrogates owing to the abundance of Alariaceae (Order Laminariales) represented by a single genus and species. Surrogates using biomass data from the orders Laminariales, Ceramiales, Dictyotales and Fucales were also successful at offshore islands in middle to deeper depths. 6. At inshore islands in depths 10–20m and > 20m, genera from the orders Gigartinales, Fucales and Ceramiales were strongly correlated to species biomass data. 7. Surrogates, like species richness, that were strongly correlated to species biomass data were also able to distinguish between exposures to wave energy, based on analysis of similarity tests. 8. Sampling effort would be reduced if collecting richness data in species-rich macroalgal assemblages such as those found in temperate Australia. [ABSTRACT FROM AUTHOR]

In conservation biology, researchers often want to study the reasons why an endangered population is faring poorly but are unable to study it directly for logistical or political reasons. Instead they study a species that substitutes for the one of concern in the hope that it will cast light on the conservation problem. Here we outline the assumptions underlying this approach. Substitutes can be different populations or species and may be chosen because they are similar biologically to the target or representatives of a constellation of species of which the target is one. They also may be used to develop a predictive model to which the conservation target can be related. For substitutes to be appropriate, they should share the same key ecological or behavioral traits that make the target sensitive to environmental disturbance and the relationship between population vital rates and level of disturbance should match that of the target. These conditions are unlikely to pertain in most circumstances and the use of substitute species to predict endangered populations' responses to disturbance is questionable. [ABSTRACT FROM AUTHOR]

1 Many authors have suggested that topography and soils are the major determinants of species distributions and community patterns at small or regional scales, but few studies addressed the patterns at mesoscales. We used Reserva Ducke (100 km2) as a model to analyse the effects of soil, topography and watersheds on the variation of the herb community composition, and to determine the relative importance of the environmental factors on species composition. 2 Taxonomic groups are frequently used as surrogates in studies of biodiversity distribution and complementarity, but their efficacy is controversial. We therefore studied the correlations between the distributional patterns of three different herb groups (Marantaceae, pteridophytes and ‘others’) and their responses to environmental predictors. 3 Terrestrial herbs were sampled in 59 plots of 250 × 2 m, systematically distributed over the reserve. Plots followed isoclines of altitude, to minimize the internal variation of soil. Composition of the total herb community and of the three herb groups was summarized with PCoA. 4 Soil structure, represented by PCA axes, was the main determinant of the variation in herb composition for all groups, but slope affected only pteridophytes. Soil and topography explained less than one-third of the variance in community data. Herb composition was significantly different between watersheds, but watersheds differ only slightly in soil parameters. Our results indicate high turnover in species composition, on spatial scales of 5–10 km in central Amazonia, which is not necessarily associated with soil change. 5 Compositional patterns of the three groups analysed were significantly correlated, but with low values for the correlation coefficient. Although composition was correlated, the responses to environmental predictors differed among groups, and the use of one group as a surrogate will miss around 50% of the variation in other groups. 6 Although important, soil and topography alone cannot predict herb community structure. Knowledge of geographical, historical or other landscape features, such as watershed morphology, may therefore be necessary to predict the turnover patterns over mesoscales. Moreover, the same factors may not have the same effectiveness as predictors of the structure of seemingly similar biological groups. [ABSTRACT FROM AUTHOR]

The identification of conservation areas based on systematic reserve-selection algorithms requires decisions related to both spatial and ecological scale. These decisions may affect the distribution and number of sites considered priorities for conservation within a region. We explored the sensitivity of systematic reserve selection by altering values of three essential variables. We used a 1:20,000–scale terrestrial ecosystem map and habitat suitability data for 29 threatened vertebrate species in the Okanagan region of British Columbia, Canada. To these data we applied a reserve-selection algorithm to select conservation sites while altering selection unit size and shape, features of biodiversity (i.e., vertebrate species), and area conservation targets for each biodiversity feature. The spatial similarity, or percentage overlap, of selected sets of conservation sites identified (1) with different selection units was ≤40%, (2) with different biodiversity features was 59%, and (3) with different conservation targets was ≥94%. Because any selected set of sites is only one of many possible sets, we also compared the conservation value (irreplaceability) of all sites in the region for each variation of the data. The correlations of irreplaceability were weak for different selection units (0.23 ≤ ≤ 0.67), strong for different biodiversity features ( = 0.84), and mixed for different conservation targets ( = 0.16; 0.16; 1.00). Because of the low congruence of selected sites and weak correlations of irreplaceability for different selection units, recommendations from studies that have been applied at only one spatial scale must be considered cautiously. [ABSTRACT FROM AUTHOR]

The article examines how do ecosystem-based planning units represent different components of biodiversity. It assessess the potential for ecological vegetation classes to be used as biodiversity management units in an ecosystem in Victoria. It suggests that the use of ecological vegetation classes as biodiversity plant management units may account reasonably well for birds, mammals and trees.

Indicator species need context to perform optimally for conservation purposes. If indicator potential is context‐dependent, then indicators should improve with increasing spatial‐environmental stratification. We tested this hypothesis by hierarchically stratifying a species combinations matrix (plants and wetlands) using regionalization and site typology and analyzing class specificity and occupancy rate for indicators shared across strata. Performance of indicators collectively improved with increased sample stratification providing greater spatial‐environmental context. Carefully considered sample classification schemes could strengthen the value of indicator species for monitoring biodiversity loss, environmental change, and management progress. However, the better accuracy of context‐specific indicators will have to be weighed against the practical need for fewer broad‐based indicators. [ABSTRACT FROM AUTHOR]