Data on the distribution and feeding of fin whales off the Galician coasts

One ofthe aims of a next CODA (Cetacean Offshore Distribution and Abundance in the European Atlantic)-IEO survey, is to investigate the presence of fin whales and their prey off the Galician coast. As a preparation it was considered useful to look at the available historical information regarding fin whale presence off GaIicia. Some observations about fin whaIe feeding are aIso presented here. The catch statistics for 1952 - 1985 were analysed for pattems of seasonal distribution. Information about the geographic distribution of fin whaIes was obtained from positions in the catch statistics, from sightings made by the whaling boats and from severaI sighting surveys. These positions were represented in charts with bathymetric profiles to visualise the distribution of whales in relation with the sea bottom topography. The prey species found in the stomachs of 17 individuaIs caught during the 1983 season were identified and their degree of digestion and semi-quantitative abundance evaIuated. Throughout the historie series more than 70 % ofthe catches occur between July and September. Some temporal distributional pattems can be described along the time series and in relation with annual values ofNAO and Gulf Stream indices. Positions of catches and sightings data were plotted by months and compared to show the seasonal distribution and reIative movements of fin whaIes. Only 3 of the 17 stomachs were empty. The prey most commonly found (85.7 % of the stomachs with food) was the euphausiid Meganycthiphanes norvegica. One whale has only the gadoid fish Micromesistius poutassou and another whale a mixture of both items. The degree of digestion and the amount of food in the stomachs suggest a moming feeding periodo The position and dates of the catches of these specimens could also indicate areas where euphausiids and fish were locally abundant in that particular year

Distribution and Abundance of Fin whales and other baleen whales in the European Atlantic

The abundance of fin whales (Balaenoptera physalus) and other baleen whales was generated from data collected during shipboard sightings surveys as part of the Cetacean Offshore Distribution and Abundance in the European Atlantic project (CODA). The survey area covered offshore waters beyond the continental shelf of the UK, Ireland, France and Spain. The area was stratified into four blocks and was surveyed by five ships during July 2007. Double platform methods employing the trialconfiguration method (BT-method) were used. Fin, sei (B. borealis) and minke whales (B. acutorostrata) were positively identified, with possible sightings of blue whales (B. musculus). Abundance was estimated for these species and for “large baleen whales” which included fin, sei, fin/sei and blue whales. Abundance for the larger species was estimated using the Mark- Recapture Line Transect design-based method and also model-based methods using density surface modelling. Sample size limitations dictated that conventional line transect sampling methods were used to estimate the abundance of minke whales. Estimates from the two methods were comparable but model-based methods improved the precision and were considered best estimates. The density of large baleen whale species was greatest in the southern end of the survey area and water depth, temperature and distance to the 2000m contour were important predictors of their distribution. The total abundance estimated for the entire survey area was 9,019 (CV=0.11) fin whales and 9,619 (CV= 0.11) large baleen whales. The uncertainty around these estimates due to duplicate classification and species identification were explored. The fin whale estimate is likely to be underestimated because it excludes unidentified large whales, of which a large proportion was likely to have been fin whales. Notwithstanding this, these large baleen whale abundance estimates are the first robust estimates (corrected for responsive movement and g(0)) for this area. The estimated abundance of minke whales was 6,765 (CV=0.99) and sightings were restricted to the northern blocks of the survey area. The minke whale estimate, although imprecise and likely underestimated, does provide a baseline figure for this area and, when considered with results from the SCANS-II continental shelf surveys of July 2005, gives a more comprehensive picture of this species in the European Atlantic. These abundance estimates are important contributions to the conservation and management of these species in the Northeast Atlantic

Abundance of baleen whales in the European Atlantic

The abundance of fin whales (Balaenoptera physalus), sei whales (B. borealis) and minke whales (B. acutorostrata) was estimated from data collected during shipboard sightings surveys conducted as part of CODA and TNASS (Faroese block) in July 2007 in offshore waters of the European Atlantic west of the UK, Ireland, France and Spain, combined with data collected from shipboard and aerial surveys of European Atlantic continental shelf waters conducted as part of SCANS-II in July 2005. Double platform methods employing the trial-configuration method (BT-method) were used in all shipboard surveys. Analysis used Mark-Recapture Distance Sampling to account for animals missed on the transect line. Density surface modelling was undertaken to generate model-based abundance estimates and maps of predicted density. Estimates are presented for the SCANS-II and CODA survey areas. Estimates for the Faroese block of TNASS have been presented elsewhere. The abundance of fin whales in the CODA and SCANS-II areas was estimated as 19,354 (CV 0.24) for identified sightings and 29,512 (CV 0.26) when adjusted to include a proportion of unidentified large whale abundance (which included large baleen and sperm whales), prorated by number of sightings, because there were a large number of such sightings in one of the CODA survey blocks. The model-based estimate of identified fin whales was 19,751 (CV 0.17), more precise than the design-based estimate. Fin whales were mainly found in the southern part of the CODA survey area. Estimates based on identified sightings were comparable to those from the Spanish survey conducted as part of 1989 NASS but were larger if adjusted for a proportion of unidentified large whales. Sei whales were rare except in the southwest of the survey area; the estimate of abundance was 619 (CV 0.34) for identified sightings and 765 (CV 0.43) adjusted for a proportion of unidentified large whales. Minke whale abundance was estimated for shelf and offshore European Atlantic waters as 30,410 (CV 0.34). The model-based estimate was less precise and considerably larger

Global maps of soil temperature.

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km <sup>2</sup> resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km <sup>2</sup> pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

TRY plant trait database – enhanced coverage and open access

Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Essential metal depletion in an anaerobic reactor

The effect of the absence of trace elements on the conversion of a mixture of volatile fatty acids by a distillery anaerobic granular sludge was investigated. Two UASB reactors were operated under identical operational conditions except for the influent trace metal concentrations, during 140 days. Experiments were carried out in three periods, where different organic loading rates (OLR) were applied to the reactorsThe effect of the absence of trace elements on the conversion of a mixture of volatile fatty acids by a distillery anaerobic granular sludge Was investigated. Two UASB reactors were operated under identical operational conditions except for the influent trace metal concentrations, during 140 days, Experiments were carried out in three periods, where different organic loading rates (OLR) were applied to the reactors. The total trace metal concentration steadily decreased at a rate of 48 mug metal/g TS.d in the deprived reactor (down to 35% of their initial value). In contrast, trace metals accumulated in granules present in the control reactor. At the end of the experiment, the COD removal efficiencies were 99% and 77% for the control and deprived reactors, respectively, due to the lack of propionate conversion. Cobalt sorption experiments were carried out in order to study its speciation, and its effects on the speciation of other metals as well. A paper mill wastewater treating granular sludge was also included in the study as a comparison. Results obtained showed that the principal metal forms normally associated with any sludge are a function of each soluble metal concentration in the system, and the characteristics of the particular sludge

Effects of trace element addition on volatile fatty acid conversions in anaerobic granular sludge reactors

The effect of the addition of trace elements on the conversion of a mixture of volatile fatty acids (Acetate, Propionate, Butyrate, in a ratio 3:1:1) by anaerobic granular sludge was investigated. Two Upflow Anaerobic Sludge Bed reactors (pH 7, 30degreesC) were operated for 140 days at an organic loading rate ranging from 2 g COD l(-1) d(-1) up to 10 g COD l(-1) d(-1) and a hydraulic retention time of 12 hours. One reactor (R1) was supplied with a trace metal cocktail in the basal medium, whereas trace metals were omitted from the influent of the second reactor (R2). As a result, the trace metal concentration in the granules from R2 steadily decreased at a rate of 48 mug metal g(-1) TS d(-1) down to 35% of their initial value. In contrast, trace metals accumulated in granules present in R1. At the end of the experiment, the COD removal efficiencies were 99 and 77% for, respectively, the control (R1) and deprived (R2) reactors. This difference was due to lack of propionate conversion by sludge from R2. No difference in the acetate and butyrate conversion capacity of both reactors was observed. The conversion of acetate, propionate and methanol were stimulated by the continuous addition of metals to the influent, as sludge of R1 had higher maximum specific activity values compared to sludge of R2. However, both sludges had a similar maximum specific activity with butyrate. Surprisingly, maximum specific activity tests using individual trace metals showed that the addition of a particular trace element in the activity test medium did not affect the degradation rates of a specific substrate, i.e. acetate, propionate, butyrate and methanol

Effect of nickel deprivation on methanol degradation in a methanogenic granular sludge bioreactor

The effect of omitting nickel from the influent on methanol conversion in an Upflow Anaerobic Sludge Bed (UASB) reactor was investigated. The UASB reactor (30°C, pH 7) was operated for 261 days at a 12-h hydraulic retention time (HRT) and at organic loading rates (OLRs) ranging from 2.6 to 7.8 g COD l reactorm1 daym1. The nickel content of the sludge decreased by 66 during the 261-day reactor run because of washout and doubling of the sludge bed volume. Nickel deprivation initially had a strong impact on the methanogenic activity of the sludge with methanol; e.g., after 89 days of operation, this activity was doubled by adding 2 wM nickel. Upon prolonged UASB reactor operation, methanol and VFA effluent concentrations decreased whereas the sludge lost its response to nickel addition in activity tests. This suggests that a less nickel-dependent methanol-converting sludge had developed in the UASB reactor

Effect of hydraulic retention time on sulfate reduction in a carbon monoxide fed thermophilic gas lift reactor

Thermophilic hydrogenogenic carbon monoxide (CO) converting microorganisms present in anaerobic sludge play a crucial role in the application of CO as electron donor for sulfate reduction. Hydrogenogenic CO conversion was investigated in a gas lift reactor (55 °C) at different hydraulic retention times (HRT). Operation at a HRT>9 h resulted in predominant consumption of CO-derived H2 by methanogens (up to 90%) and thus in a poor sulfate reduction efficiency of less than 15%. At HRTs5.5 h resulted in a dominance of methanogenesis over sulfate reduction. The sulfate reduction rates were limited by the amount of CO supplied and its conversion efficiency (about 85%) at higher CO loads likely resulting from a low biomass retention