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There is increasing interest in developing better predictive tools and a broader conceptual framework to guide the restoration of degraded land. Traditionally, restoration efforts have focused on re-establishing historical disturbance regimes or abiotic conditions, relying on successional processes to guide the recovery of biotic communities. However, strong feedbacks between biotic factors and the physical environment can alter the efficacy of these successional-based management efforts. Recent experimental work indicates that some degraded systems are resilient to traditional restoration efforts owing to constraints such as changes in landscape connectivity and organization, loss of native species pools, shifts in species dominance, trophic interactions and/or invasion by exotics, and concomitant effects on biogeochemical processes. Models of alternative ecosystem states that incorporate system thresholds and feedbacks are now being applied to the dynamics of recovery in degraded systems and are suggesting ways in which restoration can identify, prioritize and address these constraints. [Copyright &y& Elsevier]

Global change drivers (GCDs) are expected to alter community structure and consequently, the services that ecosystems provide. Yet, few experimental investigations have examined effects of GCDs on plant community structure across multiple ecosystem types, and those that do exist present conflicting patterns. In an unprecedented global synthesis of over 100 experiments that manipulated factors linked to GCDs, we show that herbaceous plant community responses depend on experimental manipulation length and number of factors manipulated. We found that plant communities are fairly resistant to experimentally manipulated GCDs in the short term (<10 y). In contrast, long-term (=10 y) experiments show increasing community divergence of treatments from control conditions. Surprisingly, these community responses occurred with similar frequency across the GCD types manipulated in our database. However, community responses were more common when 3 or more GCDs were simultaneously manipulated, suggesting the emergence of additive or synergistic effects of multiple drivers, particularly over long time periods. In half of the cases, GCD manipulations caused a difference in community composition without a corresponding species richness difference, indicating that species reordering or replacement is an important mechanism of community responses to GCDs and should be given greater consideration when examining consequences of GCDs for the biodiversity-ecosystem function relationship. Human activities are currently driving unparalleled global changes worldwide. Our analyses provide the most comprehensive evidence to date that these human activities may have widespread impacts on plant community composition globally, which will increase in frequency over time and be greater in areas where communities face multiple GCDs simultaneously. [ABSTRACT FROM AUTHOR]

The rigorous quantification of uncertainty in geophysical inversions is a challenging problem. Inversions are often ill-posed and the likelihood surface may be multi-modal; properties of any single mode become inadequate uncertainty measures, and sampling methods become inefficient for irregular posteriors or high-dimensional parameter spaces. We explore the influences of different choices made by the practitioner on the efficiency and accuracy of Bayesian geophysical inversion methods that rely on Markov chain Monte Carlo sampling to assess uncertainty using a multi-sensor inversion of the three-dimensional structure and composition of a region in the Cooper Basin of South Australia as a case study. The inversion is performed using an updated version of the Obsidian distributed inversion software. We find that the posterior for this inversion has a complex local covariance structure, hindering the efficiency of adaptive sampling methods that adjust the proposal based on the chain history. Within the context of a parallel-tempered Markov chain Monte Carlo scheme for exploring high-dimensional multi-modal posteriors, a preconditioned Crank–Nicolson proposal outperforms more conventional forms of random walk. Aspects of the problem setup, such as priors on petrophysics and on 3-D geological structure, affect the shape and separation of posterior modes, influencing sampling performance as well as the inversion results. The use of uninformative priors on sensor noise enables optimal weighting among multiple sensors even if noise levels are uncertain. [ABSTRACT FROM AUTHOR]

The area extending from the upper Mürz Valley to Semmering, and on to the southern Vienna Basin, belongs to the seismically most active regions in Austria. Because of the population density and sensitive infrastructure, seismic hazard assessment is an important issue. Routine location of earthquakes carried out by the Central Institute for Meteorology and Geodynamics, Austria, images well the general seismicity pattern. However, a correlation with individual faults cannot be resolved. In this study, recordings from passive seismic monitoring projects (ALPASS and CBP) and permanent seismic network data are used together with a new 3D seismic velocity model to locate earthquake hypocentres in the Vienna Basin area. Three different location methods were applied. Focal coordinates of the 44 earthquakes determined by these methods depend on the applied method and differ considerably from the routine locations. Analysis of the residual travel-times and the location of quarry blasts showed that the best results were achieved with a probabilistic location method based on the new 3D velocity model for P- and S waves. An absolute accuracy of ~3 km was obtained by this method. Clustering and linear alignment of epicentres as well as their probability density functions allow for the correlation with local fault systems. Hypocentres with increasing focal depth closely follow the Mur-Mürz in the Semmering area and its extension to the Pottendorf fault in the southern Vienna Basin. Further, the continuation of the Salzach-Ennstal-Mariazell- Puchberg fault towards the Vienna Basin has been imaged clearly by epicentres. Implementation and further improvement of the 3D velocity model has the potential to enhance accuracy of routine epicentre location. [ABSTRACT FROM AUTHOR]

1 Coexistence theory predicts that greater heterogeneity of resources or other fitness-constraining environmental factors will promote species diversity, yet this classic mechanism of coexistence has rarely been tested in manipulative field experiments. 2 Here we present results from the fourth year of a long-term experiment designed to test the heterogeneity-diversity hypothesis in a low productivity grassland where we directly manipulated the spatial heterogeneity of soil nutrients. In addition to unfertilized controls, we created heterogeneous and homogeneous nutrient enrichment treatments by applying fertilizer to field plots in a patchy or uniform manner. Fertilization treatments were crossed with seed addition and cover reduction treatments, to allow examination of the effects of recruitment limitation and competition from established vegetation on diversity responses to nutrient heterogeneity. 3 In contrast to predictions, we found that spatially heterogeneous soil nutrient supply did not promote increased species richness or greater species sorting relative to a uniform supply of soil nutrients. Instead, both nutrient enrichment treatments depressed plant species richness (especially at small spatial scales) and, depending on cover reduction and on spatial location in the field, increased the abundance of two spreading clonal species. 4 Our results do not support the heterogeneity-diversity hypothesis, and suggest that the response of clonal species to nutrient enrichment may constrain how plant diversity responds to resource heterogeneity. Future tests of the heterogeneity-diversity hypothesis should explicitly consider the scale of resource heterogeneity and foraging capability of the plant species in the community. [ABSTRACT FROM AUTHOR]

The determination of palaeo-elevation has emerged in the past 15 years as an important tool for constraining physical processes that govern the formation of mountain belts. Rowley and Currie report palaeo-elevations for the Lunpola basin within the Tibetan plateau and claim that these elevations are incompatible with 'mantle-thickening models' for mountain formation. We show here that their data do not support this conclusion and, indeed, are consistent with its opposite. The Tibetan plateau could have risen by a kilometre or more as its dense lower lithosphere sank into the underlying mantle.