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  • Electronic structure and strongly correlated systems
  • climate change
  • 2020-2023  (7)
  • 2010-2014
  • 2022  (7)
  • 1
    Publication Date: 2022-05-27
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Jenouvrier, S., Long, M. C., Coste, C. F. D., Holland, M., Gamelon, M., Yoccoz, N., & Saether, B.-E. Detecting climate signals in populations across life histories. Global Change Biology, 28, (2022): 2236– 2258, https://doi.org/10.1111/gcb.16041.
    Description: Climate impacts are not always easily discerned in wild populations as detecting climate change signals in populations is challenged by stochastic noise associated with natural climate variability, variability in biotic and abiotic processes, and observation error in demographic rates. Detection of the impact of climate change on populations requires making a formal distinction between signals in the population associated with long-term climate trends from those generated by stochastic noise. The time of emergence (ToE) identifies when the signal of anthropogenic climate change can be quantitatively distinguished from natural climate variability. This concept has been applied extensively in the climate sciences, but has not been explored in the context of population dynamics. Here, we outline an approach to detecting climate-driven signals in populations based on an assessment of when climate change drives population dynamics beyond the envelope characteristic of stochastic variations in an unperturbed state. Specifically, we present a theoretical assessment of the time of emergence of climate-driven signals in population dynamics (ToEpop). We identify the dependence of (ToEpop)on the magnitude of both trends and variability in climate and also explore the effect of intrinsic demographic controls on (ToEpop). We demonstrate that different life histories (fast species vs. slow species), demographic processes (survival, reproduction), and the relationships between climate and demographic rates yield population dynamics that filter climate trends and variability differently. We illustrate empirically how to detect the point in time when anthropogenic signals in populations emerge from stochastic noise for a species threatened by climate change: the emperor penguin. Finally, we propose six testable hypotheses and a road map for future research.
    Description: We acknowledge the support of NASA 80NSSC20K1289 to SJ, ML, and MH; NSF OPP 1744794 to SJ and NSF OPP 2037561 to SJ and MH.
    Keywords: climate change ; emperor penguin ; life histories ; population trend ; population variability ; signal to noise ; time of emergence
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 2
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Bongarts Lebbe, T., Rey-Valette, H., Chaumillon, E., Camus, G., Almar, R., Cazenave, A., Claudet, J., Rocle, N., Meur-Ferec, C., Viard, F., Mercier, D., Dupuy, C., Menard, F., Rossel, B. A., Mullineaux, L., Sicre, M.-A., Zivian, A., Gaill, F., & Euzen, A. Designing coastal adaptation strategies to tackle sea level rise. Frontiers in Marine Science, 8, (2021): 740602, https://doi.org/10.3389/fmars.2021.740602.
    Description: Faced with sea level rise and the intensification of extreme events, human populations living on the coasts are developing responses to address local situations. A synthesis of the literature on responses to coastal adaptation allows us to highlight different adaptation strategies. Here, we analyze these strategies according to the complexity of their implementation, both institutionally and technically. First, we distinguish two opposing paradigms – fighting against rising sea levels or adapting to new climatic conditions; and second, we observe the level of integrated management of the strategies. This typology allows a distinction between four archetypes with the most commonly associated governance modalities for each. We then underline the need for hybrid approaches and adaptation trajectories over time to take into account local socio-cultural, geographical, and climatic conditions as well as to integrate stakeholders in the design and implementation of responses. We show that dynamic and participatory policies can foster collective learning processes and enable the evolution of social values and behaviors. Finally, adaptation policies rely on knowledge and participatory engagement, multi-scalar governance, policy monitoring, and territorial solidarity. These conditions are especially relevant for densely populated areas that will be confronted with sea level rise, thus for coastal cities in particular.
    Description: This work was conducted as part of the project SEA’TIES led by the Ocean & Climate Platform. SEA’TIES is funded by the Prince Albert II Foundation (No. 3112), Veolia Foundation (No. 20EB2004), and Fondation de France, Monaco. It was coordinated by the CNRS, in the framework of the RTPi (International Multidisciplinary Thematic Network) which drives the scientific component of the SEA’TIES project.
    Keywords: climate change ; sea level rise ; adaptation ; governance ; nature-based solutions ; multidisciplinary approach ; vulnerability ; coastal cities
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 3
    Publication Date: 2022-12-10
    Description: In the course of the energy transition, storage technologies are required for the fluctuating and intermittently occurring electrical energy. The vanadium flow battery (VFB) is an especially promising electrochemical battery type for megawatt applications due to its unique characteristics. This work is intended as a benchmark for the evaluation of environmental impacts of a VFB, providing transparency and traceability. It considers the requirements for an industrial VFB from the technical and electrochemical point of view. The system design is based on a net capacity of 8 MWh and a net power of 1 MW. This ex ante study is a cradle‐to‐grave life cycle assessment (LCA) for a VFB to identify, analyze, and evaluate the environmental impacts for a lifetime of 20 years. Moreover, potential environmental impacts of several subsequent life cycles of the emission‐intensive and long‐lasting vanadium electrolyte are evaluated. With a focus on the electrolyte, the extraction process of vanadium pentoxide is studied in detail for the first time. Consequently, recommendations for the design of the life cycle of VFBs and for comparative LCAs with other energy storage technologies can be derived. Based on this work, more detailed work can follow, which helps to estimate the recycling potentials and emissions more precisely. This article met the requirements for a gold‐gold JIE data openness badge described at https://jie.click/badges
    Description: German Federal Ministry for Economic Affairs and Climate Action
    Keywords: ddc:621.31 ; climate change ; energy storage ; industrial ecology ; life cycle assessment ; vanadium flow battery ; vanadium pentoxide
    Language: English
    Type: doc-type:article
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  • 4
    Publication Date: 2022-05-27
    Description: © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Aluru, N., Fields, D. M., Shema, S., Skiftesvik, A. B., & Browman, H. I. Gene expression and epigenetic responses of the marine Cladoceran, Evadne nordmanni, and the copepod, Acartia clausi, to elevated CO2. Ecology and Evolution, 11, (2021): 16776– 16785, https://doi.org/10.1002/ece3.8309.
    Description: Characterizing the capacity of marine organisms to adapt to climate change related drivers (e.g., pCO2 and temperature), and the possible rate of this adaptation, is required to assess their resilience (or lack thereof) to these drivers. Several studies have hypothesized that epigenetic markers such as DNA methylation, histone modifications and noncoding RNAs, act as drivers of adaptation in marine organisms, especially corals. However, this hypothesis has not been tested in zooplankton, a keystone organism in marine food webs. The objective of this study is to test the hypothesis that acute ocean acidification (OA) exposure alters DNA methylation in two zooplanktonic species—copepods (Acartia clausii) and cladocerans (Evadne nordmanii). We exposed these two species to near-future OA conditions (400 and 900 ppm pCO2) for 24 h and assessed transcriptional and DNA methylation patterns using RNA sequencing and Reduced Representation Bisulfite Sequencing (RRBS). OA exposure caused differential expression of genes associated with energy metabolism, cytoskeletal and extracellular matrix functions, hypoxia and one-carbon metabolism. Similarly, OA exposure also caused altered DNA methylation patterns in both species but the effect of these changes on gene expression and physiological effects remains to be determined. The results from this study form the basis for studies investigating the potential role of epigenetic mechanisms in OA induced phenotypic plasticity and/or adaptive responses in zooplanktonic organisms.
    Description: This research was supported by funding from the Institute of Marine Research and the High North Research Centre for Climate and the Environment (The Fram Centre) under project # 14591-02 to HIB.
    Keywords: climate change ; DNA methylation ; ocean acidification ; marine cladocerans ; RNAsequencing
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 5
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment temperature
    Description: This dataset includes seawater temperature measurements from mesocosms. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite Labyrinthula zosterae. These data were plotted in Schenck et al (2022) as Figure S1. And Bois et al., 2021 as Figure 1. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883037
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 6
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment quantitative PCR inhibition controls
    Description: This data set includes quantitative PCR cell count estimates from samples of DNA extracted from seagrass wasting disease parasite, Labyrinthula zosterae, cultures of known cell concentrations run with and without DNA extracted from seagrass, Zostera marina, tissue samples to test for quantitative PCR signal inhibition. Seagrass tissue samples were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite L. zosterae. These data were plotted in Schenck et al (2022) as Figure S6. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883055
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
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  • 7
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm microbial analyses results
    Description: This dataset includes outputs from statistical analyses of differences in microbial taxa (amplicon sequence variant or ASV) abundance among two groups of seagrass, Zostera marina, genotypes: those that showed reduced Labyrinthula zosterae parasites when warmed vs those that showed increased L. zosterae parasites when warmed; and two seawater temperature treatments: ambient or elevated +3.2oC. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite L. zosterae. These data were published in Schenck et al (2022). Related sequence data from this experiment is accessible from the National Center for Biotechnology Information (NCBI) BioProject PRJNA716355. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883070
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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