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Increasing levels of anthropogenic underwater noise have caused concern over their potential impacts on marine life. Offshore renewable energy developments and seismic exploration can produce impulsive noise which is especially hazardous for marine mammals because it can induce auditory damage at shorter distances and behavioural disturbance at longer distances. However, far-field effects of impulsive noise remain poorly understood, causing a high level of uncertainty when predicting the impacts of offshore energy developments on marine mammal populations. Here we used a 10-year dataset on the occurrence of coastal bottlenose dolphins over the period 2009-2019 to investigate far-field effects of impulsive noise from offshore activities undertaken in three different years. Activities included a 2D seismic survey and the pile installation at two offshore wind farms, 20-75 km from coastal waters known to be frequented by dolphins. We collected passive acoustic data in key coastal areas and used a Before-After Control-Impact design to investigate variation in dolphin detections in areas exposed to different levels of impulsive noise from these offshore activities. We compared dolphin detections at two temporal scales, comparing years and days with and without impulsive noise. Passive acoustic data confirmed that dolphins continued to use the impact area throughout each offshore activity period, but also provided evidence of short-term behavioural responses in this area. Unexpectedly, and only at the smallest temporal scale, a consistent increase in dolphin detections was observed at the impact sites during activities generating impulsive noise. We suggest that this increase in dolphin detections could be explained by changes in vocalization behaviour. Marine mammal protection policies focus on the near-field effects of impulsive noise; however, our results emphasize the importance of investigating the far-field effects of anthropogenic disturbances to better understand the impacts of human activities on marine mammal populations. Echolocation detectors (CPODs; Chelonia Ltd) were deployed between 2009 and 2019 to investigate the variation in dolphin detections in relation to the impulsive noise from three energy developments: a seismic survey for oil and gas exploration and the installation of foundation piles for two offshore wind farms (Beatrice Offshore Wind Farm and Moray East Offshore Wind Farm). Data on the timing of the seismic survey and piling operations were provided by the developers (Oil and Gas UK Ltd., COWRIE, Beatrice Offshore Wind Ltd. and Moray Offshore Wind Farm East). Data consist of 7 files and include the datasets and R code required to repeat all the analyses. A full description of the files provided in the Readme.txt file: OFB_FarField_DPH.csv OFB_FarField_BOWL.csv OFB_FarField_MEOW.csv OFB_FarField_BACI_Obtain_DPH_Dataset.R OFB_FarField_DPH_for_BACI.csv OFB_FarField_BACI_DPH_Models.R OFB_FarField_Readme.txt

Processes leading to range contractions and population declines of Arctic megafauna during the late Pleistocene and early-Holocene are uncertain, with intense debate on the roles of human hunting, climatic change, and their synergy. Obstacles to a resolution, have included an over reliance on correlative rather than process-explicit approaches for inferring drivers of distributional and demographic change. Using process-explicit macroecological models that integrate modern and fossil occurrence records, spatiotemporal reconstructions of past climatic change, speciesspecific population ecology and the growth and spread of anatomically modern humans, we disentangle the ecological mechanisms and threats that were integral in the decline and extinction of the muskox (Ovibos moschatus) in Eurasia, and in its expansion in North America. We show that accurately reconstructing inferences of past demographic changes for muskox over the last 21,000 years requires high dispersal abilities, large maximum densities, and a small Allee effect. Climatic change was the primary driver of muskox distribution shifts and demographic changes across its previously extensive (circumpolar) range, with populations responding negatively to rapid warming events. Regional analyses reveal that the range collapse and extinction of the muskox in Europe (~ 13 thousand years ago) was caused by humans operating in synergy with climatic warming. In Canada and Greenland, climatic change and human activities combined to drive recent population sizes. The impact of past climatic change on the range and extinction dynamics of muskox during the Pleistocene-Holocene transition signals a vulnerability of this species to future increased warming. By disentangling the ecological processes that shaped the distribution of the muskox through space and time, process-explicit models have important applications for the future conservation and management of this iconic species in a warming Arctic. We built process-explicit macroecological models of muskox that simulate interactions between metapopulation dynamics, climate variability, and hunting by humans. We used calibrated fossils and modern occurrence records obtained from publicly available databases and published literature. Records were intersected with paleoclimate reconstructions accessed using PaleoView, and modern climate data from CRU TS v4. Niche hypervolumes and spatiotemporal projections of habitat suitability were built in R using the 'hypervolume' package. Process-explicit macroecological models were built in R using the 'poems' and 'paleopop' package. Human abundance was modelled using a Climate Informed Spatial Genetics Model (CISGeM). Funding provided by: Australian Research CouncilCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923Award Number: DP180102392Funding provided by: Australian Research CouncilCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100000923Award Number: FT140101192Funding provided by: Danish Research Foundation*Crossref Funder Registry ID: Award Number: DNRF96

This is the software and data set named "Supplementary Software 1" for the research paper "Offshore wind competitiveness in mature markets without subsidy". Please refer to the README file in the ZIP file for instructions. The paper is currently under review and access is for peer-review purposes only. Bundesministerium für Bildung und Forschung under project reference FKZ 01LA1821A. BTU Cottbus-Senftenberg for a postgraduate scholarship (GradV).

Sample collection Samples of FWW were collected from 16 locations across its distribution range in China; 14 of these have previously been used for population genetics analysis using microsatellite markers (Cao et al., 2016). The other two newly collected populations were obtained from the expansion fronts of FWW in 2017-2018. Larvae of FWW were each sampled from different silk webs at each sampling location to reduce the chances of collecting siblings. In total, 306 larvae of FWW were obtained and used for DNA extraction, library construction, and genotyping, with 13-20 individuals per population. Library construction, SNP calling, and filtering Genomic DNA was isolated from larvae individually using a DNeasy Blood & Tissue Kit (Qiagen, Hilden, Germany). We used the ddRAD method to develop genome-wide SNPs for FWW (Peterson et al., 2012). Genomic DNA from each individual was digested by the restriction enzymes NlaIII and AciI for 3 hours at 37 °C (Aguilar et al., 1979; Li et al., 2018). Then we used 67.5 µl (1.5×) SpeedBeads (GE) to purify the digested DNA. A pair of uniquely modified Illumina P1 (5 bp) and P2 adapters (4 bp) were ligated to the digested DNA at 16 °C overnight. A heat-deactivation step was used to end the ligating reaction under conditions of 65 °C for 10 min and 22 cycles at 20 °C for 1 min. We pooled ligated products with a unique adapter into one library, followed by a purifying step using (1.5×) SpeedBeads (GE). Fragments of 420 - 540 bp were selected using BluePippin on a 2% gel cassette (Sage Sciences, Beverly, MA, USA) and then amplified using 12 PCR (polymerase chain reaction) amplification cycles. We used 64 µl 0.8× SpeedBeads to purify the amplified libraries. The quantity and quality of each library were evaluated using Qubit 3.0 and Agilent Bioanalyses 2100. The Illumina NovaSeq 6000 platform was used for sequencing to obtain 150-bp paired-end reads. We used Stacks version 2.52 to filter the low-quality sequencing data and call SNPs (Catchen et al., 2013). Raw sequencing reads were demultiplexed and trimmed using the process_radtags. Reads for each individual were mapped to the reference genome of FWW with a size of 510.5 Mb from NCBI (Assembly: GCA_003709505.1 ASM370950v1) (Wu et al., 2018) using Bowtie version 2.3.5.1 (Langmead et al., 2012). SNPs were called using a maximum likelihood framework and filtered with populations implemented in Stacks, VCFtools version 0.1.16 (Danecek et al., 2011), and the R package vcfR (Knaus et al., 2017) based on the following criteria: (a) samples with a mapping rate less than 80% were removed; (b) SNPs with a sequencing depth higher than eight and less than 500 were removed; (c) samples and SNPs with a missing rate higher than 10% in the corresponding dataset were removed; (d) SNPs with a minor allele count lower than 10 were removed; (e) SNPs with observed heterozygosity of > 0.75 across all populations were removed; (f) SNPs with a p-value of Hardy-Weinberg equilibrium (HWE) lower than 10-7 in all populations were removed to generate dataset of neutral SNPs. In order to reduce the influence of linkage on population structure inferences, we retained only SNPs separated by at least 1000 bp (Lowry et al., 2017). References Aguilar, J. D., & Riom, J. (1979). Nemoraea pellucida (Meigen), A new parasite of Hyphantria cunea (Drury) [France; fall webworm]. Bulletin De La Société Entomologique De France, 84, 204-207. Cao, L. J., Wei, S. J., Hoffmann, A. A., Wen, J. B., & Chen, M. (2016). Rapid genetic structuring of populations of the invasive fall webworm in relation to spatial expansion and control campaigns. Diversity and Distributions, 22, 1276-1287. Catchen, J., Hohenlohe, P. A., Bassham, S., Amores, A., & Cresko, W. A. (2013). Stacks: an analysis tool set for population genomics. Molecular Ecology, 22, 3124-3140. Danecek, P., Auton, A., Abecasis, G., Albers, C. A., anks, E. B., Depristo, M. A., . . . Sherry, S. T. (2011). The variant call format and VCFtools. Bioinformatics, 27, 2156-2158. Knaus, B. J., & Grünwald, N. J. (2017). VCFR: A package to manipulate and visualize variant call format data in R. Molecular Ecology Resources, 17, 44-53. Langmead, B., & Salzberg, S. L. (2012). Fast gapped-read alignment with Bowtie 2. Nature Methods, 9, 357-359. Li, B. Y., Gao, Q., Cao, L. J., Hoffmann, A. A., Yang, Q., Zhu, J. Y., & Wei, S. J. (2018). Conserved profiles of digestion by double restriction endonucleases in insect genomes facilitate the design of ddRAD. Zoological Systematics, 43, 341-355. Lowry, D. B., Hoban, S., Kelley, J. L., Lotterhos, K. E., Reed, L. K., Antolin, M. F., & Storfer, A. (2017). Breaking RAD: an evaluation of the utility of restriction site-associated DNA sequencing for genome scans of adaptation. Molecular Ecology Resources, 17, 142-152. Peterson, B. K., Weber, J. N., Kay, E. H., Fisher, H. S., & Hoekstra, H. E. (2012). Double digest RADseq: an inexpensive method for de novo SNP discovery and genotyping in model and non-model species. PloS ONE, 7, e37135. Wu, N., Zhang, S., Li, X., Cao, Y., Liu, X., Wang, Q., . . . Zhan, S. (2018). Fall webworm genomes yield insights into rapid adaptation of invasive species. Nature Ecology and Evolution, 3, 105-115. Adaptive evolution following colonization can affect the impact of invasive species. The fall webworm (FWW) invaded China 40 years ago through a single introduction event involving a severe bottleneck and subsequently diverged into two genetic groups. The well-recorded invasion history of FWW, coupled with a clear pattern of genetic divergence, provides an opportunity to investigate whether there is any sign of adaptive evolution following the invasion. Based on genome-wide SNPs, we identified genetically separated western and eastern groups of FWW and correlated spatial variation in SNPs with geographical and climatic factors. Geographic factors explained a similar proportion of the genetic variation across all populations compared to climatic factors. However, when the two population groups were analyzed separately, environmental factors explained more of the variation than geographic factors. SNP outliers in populations of the western group had relatively stronger response to precipitation than temperature-related variables. Functional annotation of SNP outliers identified genes associated with insect cuticle protein potentially related to desiccation adaptation in the western group and genes associated with lipase biosynthesis potentially related to temperature adaptation in the eastern group. Our study suggests that invasive species may maintain evolutionary potential to adapt to heterogeneous environments despite a single invasion event. The molecular data suggest that quantitative trait comparisons across environments would be worthwhile. Here we provided VCF files generated and its population map generated in this study. Three VCF files were included. 1.fww_invariant+SNP_miss20_DP3.GQ20.vcf.gz, includes SNPs and invariant sites of all populations; 2.fww.ddRAD.all.vcf.gz, includes SNPs of all populations; 3.fww.4fds.vcf.gz, includes four degenerated SNPs of all populations; 4.fww_265_popmap.txt, includes a population map of all individuals. The three VCF files and a population map file can be opened by VCFtools and used as input files for population genetic diversity, population genetic structure, demographic inference, and outlier scanning analysis.Funding provided by: National Key Research and Development Program of ChinaCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100012166Award Number: 2021YFD1400300Funding provided by: Joint Laboratory of Pest Control Research Between China and Australia*Crossref Funder Registry ID: Award Number: Z201100008320013

This map shows all emissions of CO and CO2 in Europe in selected industrial categories that contain processes with Carbon4PUR compatible emissions according to the E-PRTR. The information contained in this document has been prepared solely for the purpose of providing information about the Carbon4PUR consortium and its project. The document reflects only the Carbon4PUR consortium’s view and the European Commission is not responsible for any use that may be made of the information it contains. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 768919. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 768919 {"references": ["https://carbonnext-eu.github.io/"]}

Hydroelectricity is critical for decarbonizing global energy production, but hydropower plants affect rivers, disrupt their continuity, and threaten migrating fishes. This puts hydroelectricity production in conflict with efforts to protect threatened species and re-connect fragmented ecosystems. Assessing the impact of hydropower on fishes will support informed decision-making during planning, commissioning, and operation of hydropower facilities. Few methods estimate mortalities of single species passing through hydropower turbines, but no commonly agreed tool assesses hazards of hydropower plants for fish populations. The European Fish Hazard Index bridges this gap. This assessment tool for screening ecological risk considers constellation specific effects of plant design and operation, the sensitivity and mortality of fish species and overarching conservation and environmental development targets for the river. Further, it facilitates impact mitigation of new and existing hydropower plants of various types across Europe. The tool does not yet support VBAs. In order to use it and produce reliable results, all input fields have to be reset manually before making a new assessment. The input window contains examplary dummy data.

1. The fasting endurance hypothesis (FEH) predicts strong selection for large body size in mammals living in environments where food supply is interrupted over prolonged periods of time. The Arctic is a highly seasonal and food restricted environment, but contrary to predictions from the FEH, empirical evidence shows that Arctic mammals are often smaller than their temperate conspecifics. Intraspecific studies integrating physiology and behaviour of different-sized individuals, may shed light on this paradox. 2. We tested the FEH in free-living Svalbard reindeer (Rangifer tarandus platyrhynchus). We measured daily energy expenditure (DEE), subcutaneous body temperature (Tsc) and activity levels during the late winter in 14 adult females with body masses ranging from 46.3 to 57.8 kg. Winter energy expenditure (WEE) and fasting endurance (FE) were modelled dynamically by combining these data with body composition measurements of culled individuals at the onset of winter (14 years, n = 140) and variation in activity level throughout winter (10 years, n = 70). 3. Mean DEE was 6.3±0.7 MJ day−1. Lean mass, Tsc and activity had significantly positive effects on DEE. Across all 140 individuals, mean FE was 85±17 days (range 48–137 days). In contrast to the predictions of the FEH, the dominant factor affecting FE was initial fat mass, while body mass and FE were not correlated. Furthermore, lean mass and fat mass were not correlated. FE was on average 80% (45 days) longer in fat than lean individuals of the same size. Reducing activity levels by ~16% or Tsc by ~5% increased FE by 7%, and 4%, respectively. 4. Our results fail to support the FEH. Rather, we demonstrate that (i) the size of fat reserves can be independent of lean mass and body size within a species, (ii) ecological and environmental variation influence FE via their effects on body composition, and (iii) physiological and behavioural adjustments can improve FE within individuals. Altogether, our results suggest that there is a selection in Svalbard reindeer to accumulate body fat, rather than to grow structurally large. The methods used to collect the data are described in Trondrud et al. 2021: "Fat storage influences fasting endurance more than body size in an ungulate. Accepted in Functional Ecology. Funding provided by: Norges ForskningsrådCrossref Funder Registry ID: http://dx.doi.org/10.13039/501100005416Award Number: KLIMAFORSK 267613