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Samples in prior studies examining attachment theory in the military have been predominantly composed of male combat veterans. Given the rates of sexual trauma among female veterans and differences in the association between attachment and posttraumatic stress disorder (PTSD) severity for sexual trauma survivors, it was necessary to consider the attachment characteristics of veterans within a mixed-sex sample. Participants were a mixed-sex veteran sample seeking inpatient trauma-related treatment (N = 469). Using independent samples t tests, we examined sex differences in attachment. Consistent with our hypothesis, women reported a higher level of attachment anxiety than did men, t(351) = −2.12, p =.034. Women also reported a higher level of attachment avoidance, t(351) = −2.44, p =.015. Using hierarchical regression, we examined the contribution of attachment anxiety and avoidance to PTSD severity, partialing out variance accounted for by demographic variables and traumatic experiences. Consistent with our hypotheses, attachment avoidance predicted PTSD severity on the Clinician-Administered PTSD Scale for DSM-IV (CAPS), β =.20, p <.001, and the PTSD Checklist–Civilian Version (PCL-C), β =.18, p <.001. Attachment anxiety did not predict CAPS severity but did predict PCL-C severity, β =.11, p =.020. These results suggest the association between attachment avoidance and PTSD is not exclusive to combat trauma and may apply more generally to the larger veteran population. Higher levels of attachment anxiety and avoidance among female veterans potentially implicate the presence of greater attachment fearfulness among this particular subpopulation of veterans.

L'intégration effective de la restauration écologique dans la gestion des espaces naturels nécessite la définition de zones et d'actions prioritaires. À grande échelle spatiale, les priorités sont généralement définies par les experts en termes de facteurs écologiques, en particulier en fonction de la distribution d'espèces ou de quelques services écosystémiques. Cependant, les décisions de gestion doivent faire face à différents habitats naturels et répondre aux multiples exigences et aspirations de la société. L'émergence de nouveaux outils pour mieux identifier et analyser les critères de priorité et déterminer les meilleures alternatives de gestion, en intégrant les perspectives écologiques et socio-économiques sont nécessaires. Nous avons développé une approche participative pour identifier les sites prioritaires de restauration dans une région de 224 472 ha dans la Démarcation de la forêt de Crevillent, dans le sud-est semi-aride de l'Espagne. Le défi était de développer une méthodologie rigoureuse mais accessible qui pourrait être extrapolée à d'autres régions. Une plate-forme de 88 parties prenantes a été invitée à identifier et à pondérer les critères prioritaires pour la restauration. Les parties prenantes ont identifié cinq groupes de critères correspondant aux environnements naturels et semi-naturels, aux environnements hautement anthropisés, aux fonctions de l'écosystème, aux processus à l'échelle du paysage et aux aspects socio-économiques et culturels. Le poids intégré des critères étudiés a montré que ceux liés aux environnements hautement anthropisés (décharges, bords des rivières, carrières abandonnées, cultures pluviales et cultures irriguées) et aux fonctions de l'écosystème (facteurs clés pour réduire le risque et la vulnérabilité aux feux de forêt, l'érosion, la pollution de l'eau) ont reçu la plus haute priorité, ainsi que pour les zones à forte valeur culturelle et ethnologique. En revanche, la priorité pour les environnements naturels et semi-naturels et les caractéristiques à l'échelle du paysage était plus faible. Nous discutons de ces résultats et de la possibilité d'utiliser ce protocole pour soutenir la prise de décision concernant les actions de restauration écologique dans ce paysage méditerranéen.

The effective integration of ecological restoration (ER) into land management requires the definition of priority areas and actions. At large spatial scales, priorities are commonly defined by experts in terms of ecological factors, particularly species distribution or a small set of ecosystem services. However, management decisions must deal with different habitats, and respond to society multiple demands and aspirations. New tools for identifying and analyzing priority criteria and determining best management alternatives, integrating ecological and socio-economic perspectives are needed. We developed a participatory approach to identify priority areas for restoration in a 224,472 Ha area in Crevillent Forest Demarcation, southeast semi-arid Spain. The challenge was to develop a rigorous yet accessible methodology that could be extrapolated to other regions. An 88-stakeholder platform was asked to identify and weight priority criteria for ER. Stakeholders identified five groups of criteria corresponding to natural and semi-natural environments, highly-humanized environments, criteria related to ecosystem functions, criteria related to landscape-scale processes, and socio-economic and cultural criteria. The integrated weight of the studied criteria showed that highly-humanized environments (landfills and waste dumps, river margins, unused quarries, rainfed crops, and irrigated crops) and criteria related to ecosystem function (key areas to reduce wildfire risk and vulnerability, key areas to reduce erosion, key areas to reduce water pollution) received the highest priority, together with areas with high cultural and ethnologic value. In contrast, the priority for natural and semi-natural environments and landscape-scale features was lower. We discuss these results and the feasibility of using this protocol to support decision making concerning ecological restoration actions in this Mediterranean landscape.

AbstractThe present study explored relations among adult attachment styles, shame‐ and guilt‐proneness, and several measures of relationship problem‐solving attitudes and behaviors. Participants were 142 undergraduates (32 males, 110 females) who completed both categorical and continuous measures of adult attachment, as well as self‐report measures of the other constructs under investigation. Most participants (93%) were currently involved in either exclusive or casual dating relationships at the time of the study. Controlling for respondents'dating status, results indicated that participants'attachment styles were significantly related to both shame‐proneness and collaborative problem‐solving, Preoccupied and fearful students were more shame‐prone than were their secure and dismissive peers, and secure participants reported significantly higher collaboration scores relative to their fearful counterparts. As expected, shame and guilt scores were differentially related to collaborative problem‐solving, and participants'attachment security significantly moderated observed shame‐guilt correlations. Finally, respondents'guilt and shame scores partly mediated observed relations between adult attachment styles and collaborative problem‐solving orientations.

In the present work, near-infrared, laser-induced breakdown spectroscopy, Raman, and X-ray diffractometer techniques have been complementarily used to carry out a comprehensive characterization of a terrestrial analogue selected from the Chesapeake Bay impact structure (CBIS). The obtained data clearly highlight the key role of Raman spectroscopy in the detection of minor and trace compounds, through which inferences about geological processes occurred in the CBIS can be extrapolated. Beside the use of commercial systems, further Raman analyses were performed by the Raman laser spectrometer (RLS) ExoMars Simulator. This instrument represents the most reliable tool to effectively predict the scientific capabilities of the ExoMars/Raman system that will be deployed on Mars in 2021. By emulating the analytical procedures and operational restrictions established by the ExoMars mission rover design, it was proved that the RLS ExoMars Simulator can detect the amorphization of quartz, which constitutes an analytical clue of the impact origin of craters. Beside amorphized minerals, the detection of barite and siderite, compounds crystallizing under hydrothermal conditions, helps indirectly to confirm the presence of water in impact targets. Furthermore, the RLS ExoMars Simulator capability of performing smart molecular mappings was successfully evaluated. ; With funding from the Spanish government through the "María de Maeztu Unit of Excellence" accreditation (MDM-2017-0737)

Forest inventory plots are widely used to estimate biomass carbon storage and its change over time. While there has been much debate and exploration of the analytical methods for calculating biomass, the methods used to determine rates of wood production have not been evaluated to the same degree. This affects assessment of ecosystem fluxes and may have wider implications if inventory data are used to parameterise biospheric models, or scaled to large areas in assessments of carbon sequestration. Here we use a dataset of 35 long-term Amazonian forest inventory plots to test different methods of calculating wood production rates. These address potential biases associated with three issues that routinely impact the interpretation of tree measurement data: (1) changes in the point of measurement (POM) of stem diameter as trees grow over time; (2) unequal length of time between censuses; and (3) the treatment of trees that pass the minimum diameter threshold ("recruits"). We derive corrections that control for changing POM height, that account for the unobserved growth of trees that die within census intervals, and that explore different assumptions regarding the growth of recruits during the previous census interval. For our dataset we find that annual aboveground coarse wood production (AGWP; in Mg ha−1 year−1 of dry matter) is underestimated on average by 9.2% if corrections are not made to control for changes in POM height. Failure to control for the length of sampling intervals results in a mean underestimation of 2.7% in annual AGWP in our plots for a mean interval length of 3.6 years. Different methods for treating recruits result in mean differences of up to 8.1% in AGWP. In general, the greater the length of time a plot is sampled for and the greater the time elapsed between censuses, the greater the tendency to underestimate wood production. We recommend that POM changes, census interval length, and the contribution of recruits should all be accounted for when estimating productivity rates, and suggest methods for doing this. ; European Union ; UK Natural Environment Research Council ; Gordon and Betty Moore Foundation ; CASE sponsorship from UNEP-WCMC ; Royal Society University Research Fellowship ; ERC Advanced Grant "Tropical Forests in the Changing Earth System" ; Royal Society Wolfson Research Merit Award

This is the final version of the article. Available from Wiley via the DOI in this record. ; Quantifying the relationship between tree diameter and height is a key component of efforts to estimate biomass and carbon stocks in tropical forests. Although substantial site-to-site variation in height-diameter allometries has been documented, the time consuming nature of measuring all tree heights in an inventory plot means that most studies do not include height, or else use generic pan-tropical or regional allometric equations to estimate height. Using a pan-tropical dataset of 73 plots where at least 150 trees had in-field ground-based height measurements, we examined how the number of trees sampled affects the performance of locally derived height-diameter allometries, and evaluated the performance of different methods for sampling trees for height measurement. Using cross-validation, we found that allometries constructed with just 20 locally measured values could often predict tree height with lower error than regional or climate-based allometries (mean reduction in prediction error = 0.46 m). The predictive performance of locally derived allometries improved with sample size, but with diminishing returns in performance gains when more than 40 trees were sampled. Estimates of stand-level biomass produced using local allometries to estimate tree height show no over- or under-estimation bias when compared with biomass estimates using field measured heights. We evaluated five strategies to sample trees for height measurement, and found that sampling strategies that included measuring the heights of the ten largest diameter trees in a plot outperformed (in terms of resulting in local height-diameter models with low height prediction error) entirely random or diameter size-class stratified approaches. Our results indicate that even limited sampling of heights can be used to refine height-diameter allometries. We recommend aiming for a conservative threshold of sampling 50 trees per location for height measurement, and including the ten trees with the largest diameter in this sample. ; This paper is a product of the RAINFOR, AfriTRON and T-FORCES networks, for which we are indebted to the hundreds of institutions, field assistants and local communities across many countries that have supported and hosted fieldwork. The three networks have been supported by the Natural Environment Research Council (NERC) Urgency Grants and NERC Consortium Grants "AMAZONICA" (NE/F005806/1), "TROBIT" (NE/D005590/1) and "BIO-RED" (NE/N012542/1), a NERC New Investigators Grant, a European Research Council grant ("Tropical Forests in the Changing Earth System"), the Gordon and Betty Moore Foundation, the David and Lucile Packard Foundation, the European Union's Seventh Framework Programme (283080, "GEOCARBON"; 282664, "AMAZALERT"), the Royal Society and Gabon's National Parks Agency (ANPN). R.J.W.B. is funded by a NERC research fellowship (grant ref: NE/I021160/1). S.L.L. was supported by a Royal Society University Research Fellowship, ERC Advanced Grant and a Phillip Leverhulme Prize. O.L.P. is supported by an ERC Advanced Grant and a Royal Society Wolfson Research Merit Award. L.F.B. was supported by a NERC studentship, RGS-IBG Henrietta Hutton Grant and Royal Society Dudley Stamp Award. R.H. and M.C. were supported through the long-term research development project no. RVO 67985939 and a KBFSC research fellowship (2011, to R.H.). M. Svátek was funded by the Ministry of Education, Youth and Sports of the Czech Republic (grant number INGO II LG15051). We thank Georgia Pickavance for assistance with database curation, and Natacha Nssi Bengone, Sylvester Chenikan, Eric Chezeaux, Armandu Daniels, Jean-Louis Doucet, Kath Jeffery, Edi Mirmanto, Abel Monteagudo-Mendoza, Faustin Mpanya Lukasu, Reuben Nilus, Guido Pardo, Lourens Poorter, Sylvester Tan, Marisol Toledo, Armando Torres-Lezama, John Tshibamba Mukendi, Richard Tshombe, Geertje van der Heijden, Lee White, Hannsjoerg Woell and John Woods, Gabon's National Parks Agency (ANPN), the Forest Development Authority of Liberia and Wildlife Conservation Society-Democratic Republic of Congo for assistance with access to datasets. We thank an anonymous reviewer for constructive comments on this manuscript.

Background: Several independent lines of evidence suggest that Amazon forests have provided a significant carbon sink service, and also that the Amazon carbon sink in intact, mature forests may now be threatened as a result of different processes. There has however been no work done to quantify non-land-use-change forest carbon fluxes on a national basis within Amazonia, or to place these national fluxes and their possible changes in the context of the major anthropogenic carbon fluxes in the region. Here we present a first attempt to interpret results from ground-based monitoring of mature forest carbon fluxes in a biogeographically, politically, and temporally differentiated way. Specifically, using results from a large long-term network of forest plots, we estimate the Amazon biomass carbon balance over the last three decades for the different regions and nine nations of Amazonia, and evaluate the magnitude and trajectory of these differentiated balances in relation to major national anthropogenic carbon emissions. Results: The sink of carbon into mature forests has been remarkably geographically ubiquitous across Amazonia, being substantial and persistent in each of the five biogeographic regions within Amazonia. Between 1980 and 2010, it has more than mitigated the fossil fuel emissions of every single national economy, except that of Venezuela. For most nations (Bolivia, Colombia, Ecuador, French Guiana, Guyana, Peru, Suriname) the sink has probably additionally mitigated all anthropogenic carbon emissions due to Amazon deforestation and other land use change. While the sink has weakened in some regions since 2000, our analysis suggests that Amazon nations which are able to conserve large areas of natural and semi-natural landscape still contribute globally-significant carbon sequestration. Conclusions: Mature forests across all of Amazonia have contributed significantly to mitigating climate change for decades. Yet Amazon nations have not directly benefited from providing this global scale ecosystem ...

This is the peer reviewed version of the following article: Honorio Coronado, E. N., Dexter, K. G., Pennington, R. T., Chave, J., Lewis, S. L., Alexiades, M. N., Alvarez, E., Alves de Oliveira, A., Amaral, I. L., Araujo-Murakami, A., Arets, E. J. M. M., Aymard, G. A., Baraloto, C., Bonal, D., Brienen, R., Cerón, C., Cornejo Valverde, F., Di Fiore, A., Farfan-Rios, W., Feldpausch, T. R., Higuchi, N., Huamantupa-Chuquimaco, I., Laurance, S. G., Laurance, W. F., López-Gonzalez, G., Marimon, B. S., Marimon-Junior, B. H., Monteagudo Mendoza, A., Neill, D., Palacios Cuenca, W., Peñuela Mora, M. C., Pitman, N. C. A., Prieto, A., Quesada, C. A., Ramirez Angulo, H., Rudas, A., Ruschel, A. R., Salinas Revilla, N., Salomão, R. P., Segalin de Andrade, A., Silman, M. R., Spironello, W., ter Steege, H., Terborgh, J., Toledo, M., Valenzuela Gamarra, L., Vieira, I. C. G., Vilanova Torre, E., Vos, V., Phillips, O. L. (2015), Phylogenetic diversity of Amazonian tree communities. Diversity and Distributions, 21: 1295–1307. doi:10.1111/ddi.12357, which has been published in final form at 10.1111/ddi.12357 ; Aim: To examine variation in the phylogenetic diversity (PD) of tree communities across geographical and environmental gradients in Amazonia. Location: Two hundred and eighty-three c. 1 ha forest inventory plots from across Amazonia. Methods: We evaluated PD as the total phylogenetic branch length across species in each plot (PDss), the mean pairwise phylogenetic distance between species (MPD), the mean nearest taxon distance (MNTD) and their equivalents standardized for species richness (ses.PDss, ses.MPD, ses.MNTD). We compared PD of tree communities growing (1) on substrates of varying geological age; and (2) in environments with varying ecophysiological barriers to growth and survival. Results: PDss is strongly positively correlated with species richness (SR), whereas MNTD has a negative correlation. Communities on geologically young- and intermediate-aged substrates (western and central Amazonia respectively) have the highest SR, and therefore the highest PDss and the lowest MNTD. We find that the youngest and oldest substrates (the latter on the Brazilian and Guiana Shields) have the highest ses.PDss and ses.MNTD. MPD and ses.MPD are strongly correlated with how evenly taxa are distributed among the three principal angiosperm clades and are both highest in western Amazonia. Meanwhile, seasonally dry tropical forest (SDTF) and forests on white sands have low PD, as evaluated by any metric. Main conclusions: High ses.PDss and ses.MNTD reflect greater lineage diversity in communities. We suggest that high ses.PDss and ses.MNTD in western Amazonia results from its favourable, easy-to-colonize environment, whereas high values in the Brazilian and Guianan Shields may be due to accumulation of lineages over a longer period of time. White-sand forests and SDTF are dominated by close relatives from fewer lineages, perhaps reflecting ecophysiological barriers that are difficult to surmount evolutionarily. Because MPD and ses.MPD do not reflect lineage diversity per se, we suggest that PDss, ses.PDss and ses.MNTD may be the most useful diversity metrics for setting large-scale conservation priorities. ; FINCyT - PhD studentship ; School of Geography of the University of Leeds ; Royal Botanic Garden Edinburgh ; Natural Environment Research Council (NERC) ; Gordon and Betty Moore Foundation ; European Union's Seventh Framework Programme ; ERC ; CNPq/PELD ; NSF - Fellowship