Finding the right interactional temperature: do colder patients need more warmth in physician communication style?

Being aware of which communication style should be adopted when facing more difficult patients is important for physicians; it can help prevent patient reactions of dissatisfaction, mistrust, or non-adherence that can be detrimental to the process of care. Past research suggests that less agreeable patients are especially critical towards, and reactive to, their physician's communication style, compared to more agreeable patients. On the basis of the literature, we hypothesized that less agreeable patients would react more negatively than agreeable patients to lower levels of affiliativeness (i.e., warmth, friendliness) in the physicians, in terms of satisfaction with the physician, trust in the physician, and determination to adhere to the treatment. Thirty-six general practitioners (20 men/16 women) working in their own practice in Switzerland were filmed while interacting with 69 patients (36 men/33 women) of different ages (M = 50.7; SD = 18.19; range: 18-84) and presenting different medical problems (e.g., back pain, asthma, hypertension, diabetes). After the medical interview, patients filled in questionnaires measuring their satisfaction with the physician, their trust in the physician, their determination to adhere to the treatment, and their trait of agreeableness. Physician affiliativeness was coded on the basis of the video recordings. Physician gender and dominance, patient gender and age, as well as the gravity of the patient's medical condition were introduced as control variables in the analysis. Results confirmed our hypothesis for satisfaction and trust, but not for adherence; less agreeable patients reacted more negatively (in terms of satisfaction and trust) than agreeable patients to lower levels of affiliativeness in their physicians. This study suggests that physicians should be especially attentive to stay warm and friendly with people low in agreeableness because those patients' satisfaction and trust might be more easily lowered by a cold or distant physician communication style.

Suitability, success and sinks: how do predictions of nesting distributions relate to fitness parameters in high arctic waders?

AimAlthough habitat suitability maps derived from species distribution models (SDMs) are often assumed to highlight locations that can sustain healthy populations over time, the relationship between suitability scores and fitness parameters has rarely been tested thoroughly. LocationZackenberg Valley, north-east Greenland. MethodsUsing 14years of data (1997-2010) representing three wader species (dunlin Calidris alpina, sanderling Calidris alba and ruddy turnstone Arenaria interpres), we tested the relationships between modelled suitability and fitness parameters at nesting locations. ResultsAmong the three species examined, only the ruddy turnstone exhibited significant relationships between suitability and nest success, but over time rather than space. During years with extensive snow cover in the landscape, the nesting sites of ruddy turnstone occurred in different habitats than were typically used across years. Moreover, in years with extensive snow cover, the ruddy turnstone initiated nests later and suffered from higher egg predation rates. Main conclusionOur results suggest that SDMs derived from species occurrences that include years of low reproductive success may over-estimate the potential suitable habitat in the landscape. Whenever possible, variation in reproductive success should be considered when building models to inform species' response to environmental change. species' response to environmental change.

Species distributions and interactions in a changing world : from understanding to forecasting

Les écosystèmes fournissent de nombreuses ressources et services écologiques qui sont utiles à la population humaine. La biodiversité est une composante essentielle des écosystèmes et maintient de nombreux services. Afin d'assurer la permanence des services écosystémiques, des mesures doivent être prises pour conserver la biodiversité. Dans ce but, l'acquisition d'informations détaillées sur la distribution de la biodiversité dans l'espace est essentielle. Les modèles de distribution d'espèces (SDMs) sont des modèles empiriques qui mettent en lien des observations de terrain (présences ou absences d'une espèce) avec des descripteurs de l'environnement, selon des courbes de réponses statistiques qui décrive la niche réalisée des espèces. Ces modèles fournissent des projections spatiales indiquant les lieux les plus favorables pour les espèces considérées. Le principal objectif de cette thèse est de fournir des projections plus réalistes de la distribution des espèces et des communautés en montagne pour le climat présent et futur en considérant non-seulement des variables abiotiques mais aussi biotiques. Les régions de montagne et l'écosystème alpin sont très sensibles aux changements globaux et en même temps assurent de nombreux services écosystémiques. Cette thèse est séparée en trois parties : (i) fournir une meilleure compréhension du rôle des interactions biotiques dans la distribution des espèces et l'assemblage des communautés en montagne (ouest des Alpes Suisses), (ii) permettre le développement d'une nouvelle approche pour modéliser la distribution spatiale de la biodiversité, (iii) fournir des projections plus réalistes de la distribution future des espèces ainsi que de la composition des communautés. En me focalisant sur les papillons, bourdons et plantes vasculaires, j'ai détecté des interactions biotiques importantes qui lient les espèces entre elles. J'ai également identifié la signature du filtre de l'environnement sur les communautés en haute altitude confirmant l'utilité des SDMs pour reproduire ce type de processus. A partir de ces études, j'ai contribué à l'amélioration méthodologique des SDMs dans le but de prédire les communautés en incluant les interactions biotiques et également les processus non-déterministes par une approche probabiliste. Cette approche permet de prédire non-seulement la distribution d'espèces individuelles, mais également celle de communautés dans leur entier en empilant les projections (S-SDMs). Finalement, j'ai utilisé cet outil pour prédire la distribution d'espèces et de communautés dans le passé et le futur. En particulier, j'ai modélisé la migration post-glaciaire de Trollius europaeus qui est à l'origine de la structure génétique intra-spécifique chez cette espèce et évalué les risques de perte face au changement climatique. Finalement, j'ai simulé la distribution des communautés de bourdons pour le 21e siècle afin d'évaluer les changements probables dans ce groupe important de pollinisateurs. La diversité fonctionnelle des bourdons va être altérée par la perte d'espèces spécialistes de haute altitude et ceci va influencer la pollinisation des plantes en haute altitude. - Ecosystems provide a multitude of resources and ecological services, which are useful to human. Biodiversity is an essential component of those ecosystems and guarantee many services. To assure the permanence of ecosystem services for future generation, measure should be applied to conserve biodiversity. For this purpose, the acquisition of detailed information on how biodiversity implicated in ecosystem function is distributed in space is essential. Species distribution models (SDMs) are empirical models relating field observations to environmental predictors based on statistically-derived response surfaces that fit the realized niche. These models result in spatial predictions indicating locations of the most suitable environment for the species and may potentially be applied to predict composition of communities and their functional properties. The main objective of this thesis was to provide more accurate projections of species and communities distribution under current and future climate in mountains by considering not solely abiotic but also biotic drivers of species distribution. Mountain areas and alpine ecosystems are considered as particularly sensitive to global changes and are also sources of essential ecosystem services. This thesis had three main goals: (i) a better ecological understanding of biotic interactions and how they shape the distribution of species and communities, (ii) the development of a novel approach to the spatial modeling of biodiversity, that can account for biotic interactions, and (iii) ecologically more realistic projections of future species distributions, of future composition and structure of communities. Focusing on butterfly and bumblebees in interaction with the vegetation, I detected important biotic interactions for species distribution and community composition of both plant and insects along environmental gradients. I identified the signature of environmental filtering processes at high elevation confirming the suitability of SDMs for reproducing patterns of filtering. Using those case-studies, I improved SDMs by incorporating biotic interaction and accounting for non-deterministic processes and uncertainty using a probabilistic based approach. I used improved modeling to forecast the distribution of species through the past and future climate changes. SDMs hindcasting allowed a better understanding of the spatial range dynamic of Trollius europaeus in Europe at the origin of the species intra-specific genetic diversity and identified the risk of loss of this genetic diversity caused by climate change. By simulating the future distribution of all bumblebee species in the western Swiss Alps under nine climate change scenarios for the 21st century, I found that the functional diversity of this pollinator guild will be largely affected by climate change through the loss of high elevation specialists. In turn, this will have important consequences on alpine plant pollination.

Adaptively weighted maximum likelihood estimation of discrete distributions

SummaryDiscrete data arise in various research fields, typically when the observations are count data.I propose a robust and efficient parametric procedure for estimation of discrete distributions. The estimation is done in two phases. First, a very robust, but possibly inefficient, estimate of the model parameters is computed and used to indentify outliers. Then the outliers are either removed from the sample or given low weights, and a weighted maximum likelihood estimate (WML) is computed.The weights are determined via an adaptive process such that if the data follow the model, then asymptotically no observation is downweighted.I prove that the final estimator inherits the breakdown point of the initial one, and that its influence function at the model is the same as the influence function of the maximum likelihood estimator, which strongly suggests that it is asymptotically fully efficient.The initial estimator is a minimum disparity estimator (MDE). MDEs can be shown to have full asymptotic efficiency, and some MDEs have very high breakdown points and very low bias under contamination. Several initial estimators are considered, and the performances of the WMLs based on each of them are studied.It results that in a great variety of situations the WML substantially improves the initial estimator, both in terms of finite sample mean square error and in terms of bias under contamination. Besides, the performances of the WML are rather stable under a change of the MDE even if the MDEs have very different behaviors.Two examples of application of the WML to real data are considered. In both of them, the necessity for a robust estimator is clear: the maximum likelihood estimator is badly corrupted by the presence of a few outliers.This procedure is particularly natural in the discrete distribution setting, but could be extended to the continuous case, for which a possible procedure is sketched.RésuméLes données discrètes sont présentes dans différents domaines de recherche, en particulier lorsque les observations sont des comptages.Je propose une méthode paramétrique robuste et efficace pour l'estimation de distributions discrètes. L'estimation est faite en deux phases. Tout d'abord, un estimateur très robuste des paramètres du modèle est calculé, et utilisé pour la détection des données aberrantes (outliers). Cet estimateur n'est pas nécessairement efficace. Ensuite, soit les outliers sont retirés de l'échantillon, soit des faibles poids leur sont attribués, et un estimateur du maximum de vraisemblance pondéré (WML) est calculé.Les poids sont déterminés via un processus adaptif, tel qu'asymptotiquement, si les données suivent le modèle, aucune observation n'est dépondérée.Je prouve que le point de rupture de l'estimateur final est au moins aussi élevé que celui de l'estimateur initial, et que sa fonction d'influence au modèle est la même que celle du maximum de vraisemblance, ce qui suggère que cet estimateur est pleinement efficace asymptotiquement.L'estimateur initial est un estimateur de disparité minimale (MDE). Les MDE sont asymptotiquement pleinement efficaces, et certains d'entre eux ont un point de rupture très élevé et un très faible biais sous contamination. J'étudie les performances du WML basé sur différents MDEs.Le résultat est que dans une grande variété de situations le WML améliore largement les performances de l'estimateur initial, autant en terme du carré moyen de l'erreur que du biais sous contamination. De plus, les performances du WML restent assez stables lorsqu'on change l'estimateur initial, même si les différents MDEs ont des comportements très différents.Je considère deux exemples d'application du WML à des données réelles, où la nécessité d'un estimateur robuste est manifeste : l'estimateur du maximum de vraisemblance est fortement corrompu par la présence de quelques outliers.La méthode proposée est particulièrement naturelle dans le cadre des distributions discrètes, mais pourrait être étendue au cas continu.

Application of low temperature thermochronology to understanding cooling and exhumation in the Central Swiss Alps

THESIS ABSTRACT : Low-temperature thermochronology relies on application of radioisotopic systems whose closure temperatures are below temperatures at which the dated phases are formed. In that sense, the results are interpreted as "cooling ages" in contrast to "formation ages". Owing to the low closure-temperatures, it is possible to reconstruct exhumation and cooling paths of rocks during their residence at shallow levels of the crust, i.e. within first ~10 km of depth. Processes occurring at these shallow depths such as final exhumation, faulting and relief formation are fundamental for evolution of the mountain belts. This thesis aims at reconstructing the tectono-thermal history of the Aar massif in the Central Swiss Alps by means of zircon (U-Th)/He, apatite (U-Th)/He and apatite fission track thermochronology. The strategy involved acquisition of a large number of samples from a wide range of elevations in the deeply incised Lötschen valley and a nearby NEAT tunnel. This unique location allowed to precisely constrain timing, amount and mechanisms of exhumation of the main orographic feature of the Central Alps, evaluate the role of topography on the thermochronological record and test the impact of hydrothermal activity. Samples were collected from altitudes ranging between 650 and 3930 m and were grouped into five vertical profiles on the surface and one horizontal in the tunnel. Where possible, all three radiometric systems were applied to each sample. Zircon (U-Th)/He ages range from 5.1 to 9.4 Ma and are generally positively correlated with altitude. Age-elevation plots reveal a distinct break in slope, which translates into exhumation rate increasing from ~0.4 to ~3 km/Ma at 6 Ma. This acceleration is independently confirmed by increased cooling rates on the order of 100°C/Ma constrained on the basis of age differences between the zircon (U-Th)/He and the remaining systems. Apatite fission track data also plot on a steep age-elevation curve indicating rapid exhumation until the end of the Miocene. The 6 Ma event is interpreted as reflecting tectonically driven uplift of the Aar massif. The late Miocene timing implies that the increase of precipitation in the Pliocene did not trigger rapid exhumation in the Aar massif. The Messinian salinity crisis in the Mediterranean could not directly intensify erosion of the Aar but associated erosional output from the entire Alps may have tapered the orogenic wedge and caused reactivation of thrusting in the Aar massif. The high exhumation rates in the Messinian were followed by a decrease to ~1.3 km/Ma as evidenced by ~8 km of exhumation during last 6 Ma. The slowing of exhumation is also apparent from apatite (U-Th)1He age-elevation data in the northern part of the Lötschen valley where they plot on a ~0.5km/Ma line and range from 2.4 to 6.4 Ma However, from the apatite (U-Th)/He and fission track data from the NEAT tunnel, there is an indication of a perturbation of the record. The apatite ages are youngest under the axis of the valley, in contrast to an expected pattern where they would be youngest in the deepest sections of the tunnel due to heat advection into ridges. The valley however, developed in relatively soft schists while the ridges are built of solid granitoids. In line with hydrological observations from the tunnel, we suggest that the relatively permeable rocks under the valley floor, served as conduits of geothermal fluids that caused reheating leading to partial Helium loss and fission track annealing in apatites. In consequence, apatite ages from the lowermost samples are too young and the calculated exhumation rates may underestimate true values. This study demonstrated that high-density sampling is indispensable to provide meaningful thermochronological data in the Alpine setting. The multi-system approach allows verifying plausibility of the data and highlighting sources of perturbation. RÉSUMÉ DE THÈSE : La thermochronologie de basse température dépend de l'utilisation de systèmes radiométriques dont la température de fermeture est nettement inférieure à la température de cristallisation du minéral. Les résultats obtenus sont par conséquent interprétés comme des âges de refroidissement qui diffèrent des âges de formation obtenus par le biais d'autres systèmes de datation. Grâce aux températures de refroidissement basses, il est aisé de reconstruire les chemins de refroidissement et d'exhumation des roches lors de leur résidence dans la croute superficielle (jusqu'à 10 km). Les processus qui entrent en jeu à ces faibles profondeurs tels que l'exhumation finale, la fracturation et le faillage ainsi que la formation du relief sont fondamentaux dans l'évolution des chaînes de montagne. Ces dernières années, il est devenu clair que l'enregistrement thermochronologique dans les orogènes peut être influencé par le relief et réinitialisé par l'advection de la chaleur liée à la circulation de fluides géothermaux après le refroidissement initial. L'objectif de cette thèse est de reconstruire l'histoire tectono-thermique du massif de l'Aar dans les Alpes suisses Centrales à l'aide de trois thermochronomètres; (U-Th)/He sur zircon, (U-Th)/He sur apatite et les traces de fission sur apatite. Afin d'atteindre cet objectif, nous avons récolté un grand nombre d'échantillons provenant de différentes altitudes dans la vallée fortement incisée de Lötschental ainsi que du tunnel de NEAT. Cette stratégie d'échantillonnage nous a permis de contraindre de manière précise la chronologie, les quantités et les mécanismes d'exhumation de cette zone des Alpes Centrales, d'évaluer le rôle de la topographie sur l'enregistrement thermochronologique et de tester l'impact de l'hydrothermalisme sur les géochronomètres. Les échantillons ont été prélevés à des altitudes comprises entre 650 et 3930m selon 5 profils verticaux en surface et un dans le tunnel. Quand cela à été possible, les trois systèmes radiométriques ont été appliqués aux échantillons. Les âges (U-Th)\He obtenus sur zircons sont compris entre 5.l et 9.4 Ma et sont corrélés de manière positive avec l'altitude. Les graphiques représentant l'âge et l'élévation montrent une nette rupture de la pente qui traduisent un accroissement de la vitesse d'exhumation de 0.4 à 3 km\Ma il y a 6 Ma. Cette accélération de l'exhumation est confirmée par les vitesses de refroidissement de l'ordre de 100°C\Ma obtenus à partir des différents âges sur zircons et à partir des autres systèmes géochronologiques. Les données obtenues par traces de fission sur apatite nous indiquent également une exhumation rapide jusqu'à la fin du Miocène. Nous interprétons cet évènement à 6 Ma comme étant lié à l'uplift tectonique du massif de l'Aar. Le fait que cet évènement soit tardi-miocène implique qu'une augmentation des précipitations au Pliocène n'a pas engendré cette exhumation rapide du massif de l'Aar. La crise Messinienne de la mer méditerranée n'a pas pu avoir une incidence directe sur l'érosion du massif de l'Aar mais l'érosion associée à ce phénomène à pu réduire le coin orogénique alpin et causer la réactivation des chevauchements du massif de l'Aar. L'exhumation rapide Miocène a été suivie pas une diminution des taux d'exhumation lors des derniers 6 Ma (jusqu'à 1.3 km\Ma). Cependant, les âges (U-Th)\He sur apatite ainsi que les traces de fission sur apatite des échantillons du tunnel enregistrent une perturbation de l'enregistrement décrit ci-dessus. Les âges obtenus sur les apatites sont sensiblement plus jeunes sous l'axe de la vallée en comparaison du profil d'âges attendus. En effet, on attendrait des âges plus jeunes sous les parties les plus profondes du tunnel à cause de l'advection de la chaleur dans les flancs de la vallée. La vallée est creusée dans des schistes alors que les flancs de celle-ci sont constitués de granitoïdes plus durs. En accord avec les observations hydrologiques du tunnel, nous suggérons que la perméabilité élevée des roches sous l'axe de la vallée à permi l'infiltration de fluides géothermaux qui a généré un réchauffement des roches. Ce réchauffement aurait donc induit une perte d'Hélium et un recuit des traces de fission dans les apatites. Ceci résulterait en un rajeunissement des âges apatite et en une sous-estimation des vitesses d'exhumation sous l'axe de la vallée. Cette étude à servi à démontrer la nécessité d'un échantillonnage fin et précis afin d'apporter des données thermochronologiques de qualité dans le contexte alpin. Cette approche multi-système nous a permi de contrôler la pertinence des données acquises ainsi que d'identifier les sources possibles d'erreurs lors d'études thermochronologiques. RÉSUMÉ LARGE PUBLIC Lors d'une orogenèse, les roches subissent un cycle comprenant une subduction, de la déformation, du métamorphisme et, finalement, un retour à la surface (ou exhumation). L'exhumation résulte de la déformation au sein de la zone de collision, menant à un raccourcissement et un apaissessement de l'édifice rocheux, qui se traduit par une remontée des roches, création d'une topographie et érosion. Puisque l'érosion agit comme un racloir sur la partie supérieure de l'édifice, des tentatives de corrélation entre les épisodes d'exhumation rapide et les périodes d'érosion intensive, dues aux changements climatiques, ont été effectuées. La connaissance de la chronologie et du lieu précis est d'une importance capitale pour une quelconque reconstruction de l'évolution d'une chaîne de montagne. Ces critères sont donnés par un retraçage des changements de la température de la roche en fonction du temps, nous donnant le taux de refroidissement. L'instant auquel les roches ont refroidit, passant une certaine température, est contraint par l'application de techniques de datation par radiométrie. Ces méthodes reposent sur la désintégration des isotopes radiogéniques, tels que l'uranium et le potassium, tous deux abondants dans les roches de la croûte terrestre. Les produits de cette désintégration ne sont pas retenus dans les minéraux hôtes jusqu'au moment du refroidissement de la roche sous une température appelée 'de fermeture' , spécifique à chaque système de datation. Par exemple, la désintégration radioactive des atomes d'uranium et de thorium produit des atomes d'hélium qui s'échappent d'un cristal de zircon à des températures supérieures à 200°C. En mesurant la teneur en uranium-parent, l'hélium accumulé et en connaissant le taux de désintégration, il est possible de calculer à quel moment la roche échantillonnée est passée sous la température de 200°C. Si le gradient géothermal est connu, les températures de fermeture peuvent être converties en profondeurs actuelles (p. ex. 200°C ≈ 7km), et le taux de refroidissement en taux d'exhumation. De plus, en datant par système radiométrique des échantillons espacés verticalement, il est possible de contraindre directement le taux d'exhumation de la section échantillonnée en observant les différences d'âges entre des échantillons voisins. Dans les Alpes suisses, le massif de l'Aar forme une structure orographique majeure. Avec des altitudes supérieures à 4000m et un relief spectaculaire de plus de 2000m, le massif domine la partie centrale de la chaîne de montagne. Les roches aujourd'hui exposées à la surface ont été enfouies à plus de 10 km de profond il y a 20 Ma, mais la topographie actuelle du massif de l'Aar semble surtout s'être développée par un soulèvement actif depuis quelques millions d'années, c'est-à-dire depuis le Néogène supérieur. Cette période comprend un changement climatique soudain ayant touché l'Europe il y a environ 5 Ma et qui a occasionné de fortes précipitations, entraînant certainement une augmentation de l'érosion et accélérant l'exhumation des Alpes. Dans cette étude, nous avons employé le système de datation (U-TH)/He sur zircon, dont la température de fermeture de 200°C est suffisamment basse pour caractériser l'exhumation du Néogène sup. /Pliocène. Les échantillons proviennent du Lötschental et du tunnel ferroviaire le plus profond du monde (NEAT) situé dans la partie ouest du massif de l'Aar. Considérés dans l'ensemble, ces échantillons se répartissent sur un dénivelé de 3000m et des âges de 5.1 à 9.4 Ma. Les échantillons d'altitude supérieure (et donc plus vieux) documentent un taux d'exhumation de 0.4 km/Ma jusqu'à il y a 6 Ma, alors que les échantillons situés les plus bas ont des âges similaires allant de 6 à 5.4 Ma, donnant un taux jusqu'à 3km /Ma. Ces données montrent une accélération dramatique de l'exhumation du massif de l'Aar il y a 6 Ma. L'exhumation miocène sup. du massif prédate donc le changement climatique Pliocène. Cependant, lors de la crise de salinité d'il y a 6-5.3 Ma (Messinien), le niveau de la mer Méditerranée est descendu de 3km. Un tel abaissement de la surface d'érosion peut avoir accéléré l'exhumation des Alpes, mais le bassin sud alpin était trop loin du massif de l'Aar pour influencer son érosion. Nous arrivons à la conclusion que la datation (U-Th)/He permet de contraindre précisément la chronologie et l'exhumation du massif de l'Aar. Concernant la dualité tectonique-érosion, nous suggérons que, dans le cas du massif de l'Aar, la tectonique prédomine.

Temperature-dependent elasticity of microtubules

Central to the biological function of microtubules is their ability to modify their length which occurs by addition and removal of subunits at the ends of the polymer, both in vivo and in vitro. This dynamic behavior is strongly influenced by temperature. Here, we show that the lateral interaction between tubulin subunits forming microtubule is strongly temperature dependent. Microtubules deposited on prefabricated substrates were deformed in an atomic force microscope during imaging, in two different experimental geometries. Microtubules were modeled as anisotropic, with the Young's modulus corresponding to the resistance of protofilaments to stretching and the shear modulus describing the weak interaction between the protofilaments. Measurements involving radial compression of microtubules deposited on flat mica confirm that microtubule elasticity depends on the temperature. Bending measurements performed on microtubules deposited on lithographically fabricated substrates show that this temperature dependence is due to changing shear modulus, implying that the lateral interaction between the protofilaments is strongly determined by the temperature. These measurements are in good agreement with previously reported measurements of the disassembly rate of microtubules, demonstrating that the mechanical and dynamic properties of microtubules are closely related.

Comparative winter thermoregulation and body temperature in three sympatric Apodemus species (A-alpicola, A-flavicollis, and A-sylvaticus)

When living in sympatry with Apodemus sylvaticus and A. flavicollis, A. alpicola dominates numerically at higher altitudes. A more efficient winter thermal isolation or a higher winter thermogenic capacity procuring a physiological advantage could explain at least part of this domination. We therefore measured body temperature (Tb), oxygen consumption (VO2), wet minimal thermal conductance (C) and non shivering thermogenesis (NST) at different ambient temperatures (Ta) on winter acclimated mice of the three species, and this for the first time in A. alpicola. NST was high and C low in the three species. No significant difference could be noticed either in Tb between 5 and -10 degrees C, in VO2 measurements at a Ta of -10 degrees C or in C. The NST measurements represent, respectively, 135.2% for A. sylvaticus, 142.8% for A. flavicollis and 140.5% for A. alpicola of the expected values, the values for A. sylvaticus being significantly lower than for the other two species. The basal metabolic rates (BMR) represent 169.4% for A. sylvaticus, 161.6% for A. flavicollis and 138.3% for A. alpicola of the expected values. Having removed the effect of body weight, the BMR value was significantly lower in A. alpicola than in A. flavicollis, but no difference could be noticed between A. sylvaticus and the other two species. In conclusion, the three species of mice have very similar acclimated thermoregulatory characteristics, well adapted to cold ambient conditions. One discriminating and advantageous factor could be the lower basal metabolic rate measured in A. alpicola compared to the other two species.

Linking temperature estimates and microstructures in deformed polymineralic mantle rocks

To constrain deformation temperatures of mantle shear zones, we studied a strike-slip shear zone (Hilti massif, Semail ophiolite, Oman) and focused on the interaction between microstructural mechanisms and chemical equilibration processes. Quantitative microfabric analysis on harzburgites with different deformation intensity (porphyroclastic tectonite, mylonite, and ultramylonite) was combined with orthopyroxene geothermometry. The average grain size of all phases decreases with decreasing shear zone thickness. Dynamic recrystallization of porphyroclasts in combination with dissolution-precipitation and nucleation result in small-sized, chemically equilibrated pyroxenes. The composition of orthopyroxene was used to calculate deformation temperatures. In the case of the porphyroclastic tectonites, the chemical composition of orthopyroxene has been reset by diffusion yielding temperature estimates of 880-900 degrees C. The mylonites were deformed by dislocation creep of olivine and show a broad range of calculated temperatures, which result from a combination of grain size reduction and inheritance of equilibrium compositions from earlier high-temperature events and diffusion. In mylonites, diffusion profiles combined with geothermometry and grain size analysis indicate a mylonitic deformation temperature of 800-900 degrees C possibly followed by diffusion. In ultramylonites, the smallest grains (<30 mu m) reveal equilibration at temperatures of similar to 700 degrees C during the last stages of ductile deformation, which was dominated by diffusion creep of olivine. Our results provide a crucial link between temperature and evolution of microstructures from dislocation creep to diffusion creep in mantle shear zones.

Experimental plant communities develop phylogenetically overdispersed abundance distributions during assembly

The importance of competition between similar species in driving community assembly is much debated. Recently, phylogenetic patterns in species composition have been investigated to help resolve this question: phylogenetic clustering is taken to imply environmental filtering, and phylogenetic overdispersion to indicate limiting similarity between species. We used experimental plant communities with random species compositions and initially even abundance distributions to examine the development of phylogenetic pattern in species abundance distributions. Where composition was held constant by weeding, abundance distributions became overdispersed through time, but only in communities that contained distantly related clades, some with several species (i.e., a mix of closely and distantly related species). Phylogenetic pattern in composition therefore constrained the development of overdispersed abundance distributions, and this might indicate limiting similarity between close relatives and facilitation/complementarity between distant relatives. Comparing the phylogenetic patterns in these communities with those expected from the monoculture abundances of the constituent species revealed that interspecific competition caused the phylogenetic patterns. Opening experimental communities to colonization by all species in the species pool led to convergence in phylogenetic diversity. At convergence, communities were composed of several distantly related but species-rich clades and had overdispersed abundance distributions. This suggests that limiting similarity processes determine which species dominate a community but not which species occur in a community. Crucially, as our study was carried out in experimental communities, we could rule out local evolutionary or dispersal explanations for the patterns and identify ecological processes as the driving force, underlining the advantages of studying these processes in experimental communities. Our results show that phylogenetic relations between species provide a good guide to understanding community structure and add a new perspective to the evidence that niche complementarity is critical in driving community assembly.

Evaluating thermal treeline indicators based on air and soil temperature using an air-to-soil temperature transfer model

In recent research, both soil (root-zone) and air temperature have been used as predictors for the treeline position worldwide. In this study, we intended to (a) test the proposed temperature limitation at the treeline, and (b) investigate effects of season length for both heat sum and mean temperature variables in the Swiss Alps. As soil temperature data are available for a limited number of sites only, we developed an air-to-soil transfer model (ASTRAMO). The air-to-soil transfer model predicts daily mean root-zone temperatures (10cm below the surface) at the treeline exclusively from daily mean air temperatures. The model using calibrated air and root-zone temperature measurements at nine treeline sites in the Swiss Alps incorporates time lags to account for the damping effect between air and soil temperatures as well as the temporal autocorrelations typical for such chronological data sets. Based on the measured and modeled root-zone temperatures we analyzed. the suitability of the thermal treeline indicators seasonal mean and degree-days to describe the Alpine treeline position. The root-zone indicators were then compared to the respective indicators based on measured air temperatures, with all indicators calculated for two different indicator period lengths. For both temperature types (root-zone and air) and both indicator periods, seasonal mean temperature was the indicator with the lowest variation across all treeline sites. The resulting indicator values were 7.0 degrees C +/- 0.4 SD (short indicator period), respectively 7.1 degrees C +/- 0.5 SD (long indicator period) for root-zone temperature, and 8.0 degrees C +/- 0.6 SD (short indicator period), respectively 8.8 degrees C +/- 0.8 SD (long indicator period) for air temperature. Generally, a higher variation was found for all air based treeline indicators when compared to the root-zone temperature indicators. Despite this, we showed that treeline indicators calculated from both air and root-zone temperatures can be used to describe the Alpine treeline position.

Functional diversity decreases with temperature in high elevation ant fauna

1. Severe environmental conditions filter community species compositions, forming clines of functional diversity along environmental gradients. Here, the changes in functional diversity in ant assemblages with severe environmental conditions in the Swiss Alps were investigated. 2. Eight sites were sampled along an elevation gradient (1800-2550 m). The variation in functional diversity was analysed along an elevation gradient considering four traits: social structure (monogynous vs. polygynous), worker size, pupal development, and nest structure. 3. Ant species richness and functional diversity decreased with decreasing temperature. Species found in colder habitats tended to live in subterranean nests rather than in mounds and exhibit a polymorphism in queen number, either within or across populations. The phylogenetic diversity did not decrease at colder temperature: Formicinae and Myrmicinae occupied the full range of elevations investigated. 4. An insulation experiment indicated that mounds are more thermally insulated against the cold compared with soil. The absence of a mound-building ant from high elevations probably results from a reduction in the amount of vegetal materials provided by coniferous trees. 5. More severe abiotic conditions at higher elevations act as a filter on ant assemblages, directly through physiological tolerances to the abiotic conditions and indirectly as the vegetation necessary for nest building shifts with elevation.</list-item

Predicting global change impacts on plant species' distributions: Future challenges

Given the rate of projected environmental change for the 21st century, urgent adaptation and mitigation measures are required to slow down the on-going erosion of biodiversity. Even though increasing evidence shows that recent human-induced environmental changes have already triggered species' range shifts, changes in phenology and species' extinctions, accurate projections of species' responses to future environmental changes are more difficult to ascertain. This is problematic, since there is a growing awareness of the need to adopt proactive conservation planning measures using forecasts of species' responses to future environmental changes. There is a substantial body of literature describing and assessing the impacts of various scenarios of climate and land-use change on species' distributions. Model predictions include a wide range of assumptions and limitations that are widely acknowledged but compromise their use for developing reliable adaptation and mitigation strategies for biodiversity. Indeed, amongst the most used models, few, if any, explicitly deal with migration processes, the dynamics of population at the "trailing edge" of shifting populations, species' interactions and the interaction between the effects of climate and land-use. In this review, we propose two main avenues to progress the understanding and prediction of the different processes A occurring on the leading and trailing edge of the species' distribution in response to any global change phenomena. Deliberately focusing on plant species, we first explore the different ways to incorporate species' migration in the existing modelling approaches, given data and knowledge limitations and the dual effects of climate and land-use factors. Secondly, we explore the mechanisms and processes happening at the trailing edge of a shifting species' distribution and how to implement them into a modelling approach. We finally conclude this review with clear guidelines on how such modelling improvements will benefit conservation strategies in a changing world. (c) 2007 Rubel Foundation, ETH Zurich. Published by Elsevier GrnbH. All rights reserved.