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  • 1
    In: Environmental Microbiology, Wiley, Vol. 23, No. 8 ( 2021-08), p. 4246-4259
    Abstract: Despite the increasing reports of non‐cyanobacterial diazotrophs (NCDs) in pelagic waters, only one NCD (GammaA) has been relatively well described, whose genome and physiology are still unclear. Here we present a comprehensive analysis of the biogeography and ecophysiology of a widely distributed NCD, Gamma4. Gamma4 was the most abundant Gammaproteobacterial NCD along transects across the subtropical North Pacific. Using quantitative PCR, Gamma4 was detectable throughout the surface waters of North Pacific (7°N–55°N, 138°E–80°W), whereas GammaA was detected at 〈 2/3 of the stations. Gamma4 was abundant during autumn‐winter and positively correlated with chlorophyll a , while GammaA thrived during spring‐summer and was positively correlated with temperature. Environmental clones affiliated with Gamma4 were widely detected in pelagic waters, oxygen minimum zones and even dinoflagellate microbiomes. By analysing the metabolic potential of a genome of Gamma4 reconstructed from the Tara Oceans dataset, we suggest that Gamma4 is a versatile heterotrophic NCD equipped with multiple strategies in scavenging phosphate (and iron) and for respiratory protection of nitrogenase. The transcription of nitrogenase genes is putatively regulated by Fnr‐NifL‐NifA and GlnD‐GlnK systems that respond to intracellular oxygen and glutamate concentration. These results provide important implications for the potential life strategies of pelagic NCDs.
    Type of Medium: Online Resource
    ISSN: 1462-2912 , 1462-2920
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2020213-1
    SSG: 12
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  • 2
    In: Ecological Research, Wiley, Vol. 33, No. 1 ( 2018-01), p. 35-49
    Abstract: The expanding economical activities have accelerated losses of biodiversity and ecosystem services, which are especially pronounced in Asia. To find solutions to stop these losses, a group of scientists studying both ecological and social sciences has launched an interdisciplinary research network, entitled TSUNAGARI (Trans‐System, UNified Approach for Global and Regional Integration of social‐ecological study toward sustainable use of biodiversity and ecosystem services). The project is based on two main perspectives: (1) integrating different disciplines of environmental research across multiple spatial scales, and (2) evaluating the importance of ecosystem connectivity between land and ocean for biodiversity and ecosystem services. The integrative studies have been started as follows: (1) integrating global‐scale analyses of biodiversity and economy by developing GIS‐based footprint analysis, (2) establishing the link between the studies of local good practices of ecosystem management and life cycle assessment on ecosystem good and services, (3) linking local‐scale ecosystem studies to decision making processes for sustainable society by multiple stakeholders, and (4) upscaling local analyses of ecosystem processes to broad‐scale analyses of ecosystem patterns. The proposed approaches are considered effective to solve problems that impede conservation of biodiversity and sustainable use of multiple ecosystem services in various situations although we also find some gaps such as regional biases in biodiversity data and involvement of different types of stakeholders. By overcoming the major bottlenecks, we believe the new integrated approaches will promote conservation and sustainable management of biodiversity and ecosystem services research, and contribute to advance decision‐making processes from local communities to international levels.
    Type of Medium: Online Resource
    ISSN: 0912-3814 , 1440-1703
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2023900-2
    SSG: 12
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2015
    In:  Geoscience Data Journal Vol. 2, No. 1 ( 2015-07), p. 47-51
    In: Geoscience Data Journal, Wiley, Vol. 2, No. 1 ( 2015-07), p. 47-51
    Abstract: This dataset includes the monthly distributions of CO 2 fugacity in the world surface oceans reconstructed using a feed‐forward neural network model and the CO 2 measurements of the Surface Ocean CO 2 Atlas version 2.0. It has a spatial resolution of 1 × 1° and spans a period of 22 years, from January 1990 to December 2011. The dataset also includes necessary parameters for the reconstruction and an estimate of the CO 2 fluxes between the ocean and the atmosphere. The aim of this work is to provide a dataset for estimating the oceans' contribution to the global carbon budget.
    Type of Medium: Online Resource
    ISSN: 2049-6060 , 2049-6060
    Language: English
    Publisher: Wiley
    Publication Date: 2015
    detail.hit.zdb_id: 2745699-7
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