Habitat mapping using machine learning-extended kernel-based reclassification of an Ikonos satellite image

The spatial resolution of satellite imagery suitable for earth resources studies has improved from 80 m (Landsat-MSS, launched in 1972) to 0.6 m (QuickBird, launched in 2001). The conventional pixel-based methods developed for medium resolution satellite images are not suitable for classification of very high spatial resolution images, because the spectral responses of particular habitat classes are much more variable. On the other hand, in the original Barnsley–Barr kernel-based reclassification algorithm not only the spectral information of a pixel but also the textural information in the vicinity of the pixel is used when the pixel labeling decision is made. The first step of the kernel reclassification algorithm is to perform an initial classification of the original image. In the second step, the adjacency-event matrices are computed for each pixel according to co-occurrence frequencies of the initial classes in the kernel window. The degree of matching between an adjacency-event matrix corresponding to specific pixel and the set of class-specific template matrices produced during training is the criterion for pixel re-labeling. We extend the original kernel-based reclassification algorithm with a decision tree-based reclassification, simultaneously taking into account the class-specific similarity images, which are a side-product of the original algorithm. The advantage of decision tree-extended approach over the original approach seems to be the ability of the former to consider more input information, thus increasing the Kappa classification accuracy for an Ikonos image of our study area from 0.56 to 0.60, using a nomenclature containing 10 habitat classes.     

Pollutant dispersion in wetland systems: Mathematical modelling and numerical simulation

In this paper we present and justify an original use of a diffusive-advective partial differential equation model, its discretization procedures and resulting numerical simulations for the dispersal of pollutants in an air–water system, with distinct behaviours in water and in air. The authors believe that the relevance of the developed work lies in its potential use in practical environmental assessment processes for the definition of both preventive and clean-up strategies.     

Landslides into reservoirs and their impacts on banks

Mass wasting processes, like slope failures, on the margins of dam reservoirs, lakes, bays and oceans may generate large water waves that can produce disasters due to flooding over the banks, run up along the shoreline and overtopping dam crests. Therefore, the study of slope failures, the subsequent generation of impulse waves and their consequences are of paramount importance for safety. In this paper the generation and propagation of water waves in reservoirs induced by landslides and their impact on banks were investigated by means of a laboratory study carried out at University of Coimbra wave channel, in a flume measuring 12.0 m  ×  1.5 m  ×  1.0 m (L  ×  H  ×  W), where two banks with variable slope were placed. The study considered the sliding of calcareous blocks over a sliding slope bank into the reservoir, the generation of impulse waves, their propagation in the reservoir and their impact on the downstream bank. A number of waves were generated by different fallings of calcareous blocks, considering different volumes, sliding slopes, initial positions and reservoir depths. All fallings were recorded by video-camera and the results were processed afterwards to obtain the time history of the falling. The water surface variations due to transient waves were measured at five gauges placed between the banks. The waves overtopping and breaking on the downstream bank were also filmed using a video camera, and the hydrodynamic forces on this bank were also measured using four pressure transducers.     

The effect of cadmium on antioxidant responses and the susceptibility to oxidative stress in the hydrothermal vent mussel Bathymodiolus azoricus

Hydrothermal vents are a unique environment of extreme physical–chemical characteristics and biological species composition. Cd is a toxic non-essential metal present in high concentrations in the hydrothermal vent environment, contrary to those found in marine coastal areas. Cd toxicity has been related, among other things, with reactive oxygen species production, even though this is a non-redox metal. Bathymodiolus azoricus is a deep-sea Mytilid bivalve very common in the Mid Atlantic Ridge (MAR) hydrothermal vent fields and very little is known about the antioxidant defence system in this specie. Because lethal Cd concentration in B. azoricus is unknown, the aim of this study was to assess the effects of a Cd concentration higher than that found in the hydrothermal vents on oxidative stress biomarkers, such as antioxidant enzymes. Mussels were exposed to 100 μg l⁻¹ Cd during 24, 48 and 144 h, respectively, in a pressurized aquarium (IPOCAMP). Superoxide dismutase (SOD), catalase (CAT), glutathione peroxidases (GPx), total oxyradical scavenging capacity (TOSC), metallothionein (MT) and lipid peroxidation (LPO) were measured in the gills and mantle of B. azoricus. The results indicate that gills are first affected by Cd toxicity. This may be due to different physiological functions of the tissues and by the presence of thio and methanotrophic symbiotic bacteria in the gills. The SOD and CAT are inhibited during the first day of exposure in the gills, although TOSC and MT concentrations were the same in control and exposed mussels. In the mantle, enzymatic activation only occurred after 6 days, and no significant differences in MT concentrations were found in the control and exposed mussels during the first day, as observed in the gills.     

A simple voltammetric procedure for speciation and evaluation of As removal from water

Here, we show a fast and sensitive method for the determination of inorganic arsenic in natural waters using differential pulse cathodic stripping voltammetry. All the arsenite determinations were done in 2.0 mol L⁻¹ HCl + 3.15 × 10⁻⁴ mol L⁻¹ Cu(II) supporting electrolyte. 1 × 10⁻³ mol L⁻¹ sodium thiosulphate was used as As(V) reducing agent. The detection limit was 0.5 μg L⁻¹ for both species. The method has been applied to water samples collected in an arsenic-contaminated region of Brazil, in particular, to verify the efficiency of the solar oxidation and removal of arsenic process applied to these waters.     

A case study of industrial symbiosis development using a middle-out approach

Industrial symbiosis (IS) emerged as a collective, multi-industrial approach to improve economic and environmental performance through the use of wastes/by-products as substitutes for raw materials. The development of IS initiatives depends on the context in which they occur, characterised in terms of social, economic, political, spatial and temporal embeddedness. As a consequence, the context can be influenced to become more supportive of IS through a continuous, interactive process, combining top-down governmental directives and bottom-up spontaneous business initiatives. A strategy to develop and enhance this process is explored in this paper and described by the authors as a middle-out approach.Policies and policy instruments introduced by governmental agencies provide objectives and incentives to businesses. The middle-out approach induces the development of a strategy to create positive feedback loops among agents (e.g. government, industries) that may guide their actions into setting the conditions to support IS emergence.This paper provides a case study that discusses a regional development of IS in Portugal that highlights critical factors for success in implementing IS, and shows that the middle-out approach can also be understood as an extension and combination of previous research on context factors and planned/spontaneous approaches to IS development.     

Diversity of eco-innovations: Reflections from selected case studies

An analytical framework is developed in this paper in order to explore the diversity of eco-innovations according to several key dimensions (design, user, product service and governance). The framework is used to analyse a set of case studies of eco-innnovation processes. The diversity of the analysed eco-innovations appears to be considerable; each of them involves different kinds of combinations of elements pertaining to those dimensions. Albeit the design dimension is decisive to determine the environmental impacts of the innovation, all dimensions can play a significant role in the management of eco-innovation. Our findings suggest that the capacity of eco-innovations to provide new business opportunities and contribute to the transformation towards a sustainable society depends on the interplay of those dimensions and the engagement of key stakeholders in the innovation process.     

Energy allocation and metabolic scope in early turbot, <Emphasis Type="Italic">Scophthalmus maximus</Emphasis>, larvae

Early stages of marine fish larvae are characterized by fast growth while having a limited aerobic scope and an immature digestive system. In order to understand this apparent paradox, the study of energy allocation is a major necessity. Components of the energy budget of turbot (Scophthalmus maximus) larvae were determined during initial development (days 4–12) and the complete energy allocation budget is presented. It was observed that food absorption efficiency increased from 32 to 51% during the studied period, and so did the energy available for growth and metabolic purposes. The relative amount of energy for maintenance decreased from 71 to 36% of energy channelled to metabolism. Gross growth efficiency increased from 20 to 26% of ingested energy, and net growth efficiency decreased from 66 to 52% of assimilated energy. Reduction of net growth efficiency is the reflex of a higher metabolic rate in older larvae, due to increased costs of activity and growth. Evidence, indicating that metabolic scope of early turbot larva is unable to accommodate simultaneously high levels of growth and activity was found. Alternative strategies to accommodate the costs of growth and activity exist in turbot larvae, and may result in a trade-off between fast growth and viability. As larvae grow, the various physiological processes described get more efficient, and the metabolic scope increases.     

Phylogeography of California and Galápagos sea lions and population structure within the California sea lion

We investigate the phylogeography of California (Zalophus californianus) and Galápagos (Z. wollebaeki) sea lions and describe within-population structure for the California sea lion based on mitochondrial DNA. Fifty control-region haplotypes were found, 41 from Z. californianus and 9 from Z. wollebaeki, with three fixed differences between the two species. Ranked population boundaries along the range of Z. californianus were defined based on the Monmonier Maximum Difference Algorithm, resulting in five genetically distinct populations, two in the Pacific Ocean and three inside the Gulf of California. A Minimum Spanning Network showed a strong phylogeographic signal with two well-defined clusters, Z. californianus and Z. wollebaeki, separated by six base-pair differences, supporting the existence of two genetically distinct species with an estimated divergence time of ~0.8 Ma. Results are discussed in the context of the historical geologic and paleoceanographic events of the last 1 Ma in the eastern Pacific.