Search

Recent environmental legislation, worldwide, aims to restore and protect the quality of the marine environment. Within this context, in order to maintain the good functioning of marine ecosystems, sediment pollution monitoring is becoming increasingly important. Hence, for this contribution, the spatial distribution of Cd, Fe, Hg, Mn, Ni and Pb accumulation areas were determined, for the sediments of the Basque continental shelf. Statistically-assisted Geographical Information System (GIS)-mapping techniques were used, in order to infer the processes responsible for such accumulations. Differences in contaminant entrance pathways were observed between sectors. However, hydrodynamic conditions favored the rapid dispersal of contaminants and their stable distribution. The methodology used resulted in a suitable approach for identifying contaminant distribution patterns, which could be used in environmental assessment processes. Nevertheless, an important knowledge gap on the distribution of contaminants in offshore sediments was identified. Extensions of actual monitoring programs are suggested, in order to improve the information available for identifying the behavior and process-drivers for contaminants in offshore systems. This would permit the achievement of a more complete approach, to understand the effects of land-derived contaminants, on offshore systems.

Marine Biological Valuation (BV) has increased in importance in recent years, due to the need to establish accurate maps of biodiversity value. However, there have been few exercises undertaken in Southern Europe, in putting a value on marine biodiversity whilst at the same time looking at several biological components. This paper presents the complete Biological Valuation Map (BVM) of the Basque continental shelf and estuaries, using the methodology developed for the Belgian Continental Shelf. It includes all available biological data (zooplankton, macroalgae, macrobenthos, demersal fish, seabirds and cetaceans), from 2003 to 2010. BVMs aim to compile all available biological and ecological information for a selected study area, allocating an integrated intrinsic biological value to the subzones within the study area. Here, the results highlight specific areas (such as Jaizkibel or Cap Breton Canyon), as having high or very high integrated BV, using all of the components. Furthermore, some biodiversity ‘hotspots’ have been identified, according to a specific ecosystem component (e.g. mid-parts of the Oka estuary, for macroalgae, and the Cap Breton Canyon, for cetaceans). Comparison with the results obtained from other European countries, and with previously high-importance delimited zones within the study area, showed similar spatial trends and patterns. Therefore, the objectives of this contribution are: (i) to analyse and establish a spatial ecological value map of the continental shelf of the Basque Country (southern Bay of Biscay), using present BV methods; (ii) to compare the results obtained to other European countries, and (iii) to explore the application of these results to the Marine Spatial Planning (MSP) and the European Marine Strategy Framework Directive (MSFD) requirements. This map can serve as a baseline for future MSP and can also be used for the determination of the environmental status, within the MSFD, for the qualitative descriptor 1 (biodiversity).

Predicting species distribution and habitat suitability is of considerable use in supporting the implementation of environmental legislation, protection and conservation of marine waters and ecosystem-based management. As other seagrasses, Zostera noltii has declined worldwide, mainly due to human pressures, such as eutrophication and habitat loss. In the case of the Basque Country (northern Spain), the species is present only in 3 out of 12 estuaries. From the literature, it is known that at least 6 of these estuaries were formerly vegetated by this seagrass. Consequently, efforts to monitor and restore (potential) habitats have been enhanced. Therefore, we aim: (i) to determine the main environmental variables explaining Zostera noltii distribution, within the Basque estuaries based upon the Oka estuary; (ii) to model habitat suitability for this species, as a wider applicable management-decision tool for seagrass restoration; and (iii) to assess the applicability and predicted accuracy of the model by using internal and external validation methods. For this purpose, Ecological Niche Factor Analysis (ENFA) has been used to model habitat suitability, based upon topographical variables, obtained from bathymetric Light Detection And Ranging (LiDAR); sediment characteristics variables; and hydrodynamic variables. The results obtained from the ecological factors of the ENFA (Marginality: 1.00; Specialization: 2.59) indicate that the species habitat differs considerably from the mean environmental conditions over the study area; likewise, that the species is restrictive in the selection of the range of conditions within which it dwells. The main environmental variables relating to the species distribution, in order of importance, are: mean grain size; redox potential; intertidal height; sediment sorting; slope of intertidal flat; percentage of gravels; and percentage of organic matter content. The model has a high predicted accuracy (Boyce index: 0.92). Model validation using an independent dataset in the Bidasoa estuary has shown the applicability but also the limitations in extrapolating the habitat suitability model to select suitable transplantation areas in other estuaries with similar morphological and biogeographical characteristics. ENFA-technique, applied with an accurate selection of environmental predictors, could be a promising tool for predicting seagrass habitat suitability which could assist on seagrass conservation and restoration programs worldwide.

The bathymetric LiDAR system is an airborne laser that detects sea bottom at high vertical and horizontal resolutions in shallow coastal waters. This study assesses the capabilities of the airborne bathymetric LiDAR sensor (Hawk Eye system) for coastal habitat mapping in the Oka estuary (within the Biosphere Reserve of Urdaibai, SE Bay of Biscay, northern Spain), where water conditions are moderately turbid. Three specific objectives were addressed: 1) to assess the data quality of the Hawk Eye LiDAR, both for terrestrial and subtidal zones, in terms of height measurement density, coverage, and vertical accuracy; 2) to compare bathymetric LiDAR with a ship-borne multibeam echosounder (MBES) for different bottom types and depth ranges; and 3) to test the discrimination potential of LiDAR height and reflectance information, together with multi-spectral imagery (three visible and near infrared bands), for the classification of 22 salt marsh and rocky shore habitats, covering supralittoral, intertidal and subtidal zones. The bathymetric LiDAR Hawk Eye data enabled the generation of a digital elevation model (DEM) of the Oka estuary, at 2 m of horizontal spatial resolution in the terrestrial zone (with a vertical accuracy of 0.15 m) and at 4 m within the subtidal, extending a water depth of 21 m. Data gaps occurred in 14.4% of the area surveyed with the LiDAR (13.69 km 2 ). Comparison of the LiDAR system and the MBES showed no significant mean difference in depth. However, the Root Mean Square error of the former was high (0.84 m), especially concentrated upon rocky (0.55–1.77 m) rather than in sediment bottoms (0.38–0.62 m). The potential of LiDAR topographic variables and reflectance alone for discriminating 15 intertidal and submerged habitats was low (with overall classification accuracy between 52.4 and 65.4%). In particular, reflectance retrieved for this case study has been found to be not particularly useful for classification purposes. The combination of the LiDAR-based DEM and derived topographical features with the near infrared and visible bands has permitted the mapping of 22 supralittoral, intertidal and subtidal habitats of the Oka estuary, with high overall classification accuracies of between 84.5% and 92.1%, using the maximum likelihood algorithm. The airborne bathymetric Hawk Eye LiDAR, although somewhat limited by water turbidity and wave breaking, provides unique height information obscured from topographic LiDAR and acoustic systems, together with an improvement of the habitat mapping reliability in the complex and dynamic coastal fringe.

According to coastal measurements, global mean sea-level has risen at a rate of 1.8 mm yr −1 between 1950 and 2000, with large spatial variability at regional scales. Within the Bay of Biscay, trends computed from coastal tide gauges records have revealed that sea-level rise is accelerating over this period of time; this is in agreement with rates obtained from satellite imagery in the open ocean since 1993. The objectives of the present study are: (1) to assess the evidence of the relative sea-level rise on coastal morphology and habitats in the Gipuzkoan littoral zone (Basque coast, northern Spain) for the period 1954–2004, and (2) to evaluate the relative contribution of local anthropogenic versus sea-level rise impacts for explaining inter-supratidal habitat changes. A high-resolution airborne laser altimetry data (LIDAR) has been used to derive a Digital Terrain Model (DTM) of 15-cm vertical resolution. Coastal habitats were mapped for two periods, using historic airborne photography (1954) and high-resolution imagery (2004). Analysis of tide gauge records from Santander (northern Spain) has revealed that relative mean sea-level has been rising at a rate of 2.08 ± 0.33 mm yr −1 from 1943 to 2004; this is consistent with sea-level trends from other measurements within the area (St. Jean de Luz and Bilbao), obtained over shorter periods of time, and with previous results obtained in the Bay of Biscay. Based upon this sea-level trend and by means of a LIDAR-based DTM, the results have indicated that the predicted change along the Gipuzkoan coast due to sea-level rise was of 11.1 ha within the 50-yr period. In contrast, comparison of historical and recent orthophotography has detected only 2.95 ha of change, originated possibly from sea-level rise, and 98 ha transformed by anthropogenic impacts. Hence, coastal changes due to sea-level rise might be overwhelmed by excessive human impacts, at the spatial and temporal scales of the analysis. This work highlights that local anthropogenic impact is the major threat to Basque coastal and estuarine habitats, compared with natural erosive processes and global climate change driving forces over recent times.

The airborne laser scanning LIDAR (LIght Detection And Ranging) provides high-resolution Digital Terrain Models (DTM) that have been applied recently to the characterization, quantification and monitoring of coastal environments. This study assesses the contribution of LIDAR altimetry and intensity data, topographically-derived features (slope and aspect), and multi-spectral imagery (three visible and a near-infrared band), to map coastal habitats in the Bidasoa estuary and its adjacent coastal area (Basque Country, northern Spain). The performance of high-resolution data sources was individually and jointly tested, with the maximum likelihood algorithm classifier in a rocky shore and a wetland zone; thus, including some of the most extended Cantabrian Sea littoral habitats, within the Bay of Biscay. The results show that reliability of coastal habitat classification was more enhanced with LIDAR-based DTM, compared with the other data sources: slope, aspect, intensity or near-infrared band. The addition of the DTM, to the three visible bands, produced gains of between 10% and 27% in the agreement measures, between the mapped and validation data (i.e. mean producer's and user's accuracy) for the two test sites. Raw LIDAR intensity images are only of limited value here, since they appeared heterogeneous and speckled. However, the enhanced Lee smoothing filter, applied to the LIDAR intensity, improved the overall accuracy measurements of the habitat classification, especially in the wetland zone; here, there were gains up to 7.9% in mean producer's and 11.6% in mean user's accuracy. This suggests that LIDAR can be useful for habitat mapping, when few data sources are available. The synergy between the LIDAR data, with multi-spectral bands, produced high accurate classifications (mean producer's accuracy: 92% for the 16 rocky habitats and 88% for the 11 wetland habitats). Fusion of the data enabled discrimination of intertidal communities, such as Corallina elongata , barnacles ( Chthamalus spp.), and stands of Spartina alterniflora and Phragmites australis , which presented misclassification when conventional visible bands were used alone. All of these results were corroborated by the kappa coefficient of agreement. The high classification accuracy found here, selecting data sources, highlights the value of integrating LIDAR data with multi-spectral imagery for habitat mapping in the intertidal complex fringe.

The European Water Framework Directive (WFD) establishes a framework for the protection of groundwater, inland surface waters, estuarine waters, and coastal waters. The WFD constitutes a new view of water resources management in Europe, based mainly upon ecological elements; its final objective is achieving at least ‘good ecological quality status’ for all water bodies by 2015. The approach to identify these water bodies includes, amongst others, the sub-division of a water body into smaller water bodies, according to pressures and resulting impacts. The analyses of pressures and impacts must consider how pressures would be likely to develop, prior to 2015, in ways that would place water bodies at risk of failing to achieve ecological good status, if appropriate programmes of measures were not designed and implemented. This contribution focuses on the use of the DPSIR (Driver, Pressure, State, Impact, Response) approach, in assessing the pressures and risk of failing the abovementioned objective, using the Basque (northern Spain) estuarine and coastal waters as a case study, using the following steps: (i) determination of the water bodies to be analysed; (ii) identification and description of the driving forces producing pressures over the region; (iii) identification of all existing pressures within the water bodies; (iv) identification, from them, of the most relevant pressures; (v) determination, from the relevant pressures, of those which are significant; (vi) assessing the impacts on water bodies (in terms of ecological and chemical impacts); and (vii) assessing the risk of failing the WFD objectives.