Dataset Information

Challenges and opportunities in the global methane cycle.

ABSTRACT: To control the atmospheric methane concentration for Paris Agreement and Global Methane Pledge, it is urgent to elucidate global methane budget, in the context of dangerous high growth rate of atmospheric methane concentration in the past three years (2020-2022). Interdisciplinary research can definitely help answer the open questions about methane budget, as some examples shown in this Special Issue on "Methane emissions, sinks, and mitigation".

SUBMITTER: Peng S

PROVIDER: S-EPMC10275948 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Challenges and opportunities in the global methane cycle.

Peng Shushi S

iScience 20230603 6

To control the atmospheric methane concentration for Paris Agreement and Global Methane Pledge, it is urgent to elucidate global methane budget, in the context of dangerous high growth rate of atmospheric methane concentration in the past three years (2020-2022). Interdisciplinary research can definitely help answer the open questions about methane budget, as some examples shown in this Special Issue on "Methane emissions, sinks, and mitigation". ...[more]

PMID: 37332604

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Project description:The unprecedented generation of large volumes of biodiversity data is consistently contributing to a wide range of disciplines, including disease ecology. Emerging infectious diseases are usually zoonoses caused by multi-host pathogens. Therefore, their understanding may require the access to biodiversity data related to the ecology and the occurrence of the species involved. Nevertheless, despite several data-mobilization initiatives, the usage of biodiversity data for research into disease dynamics has not yet been fully leveraged. To explore current contribution, trends, and to identify limitations, we characterized biodiversity data usage in scientific publications related to human health, contrasting patterns of studies citing the Global Biodiversity Information Facility (GBIF) with those obtaining data from other sources. We found that the studies mainly obtained data from scientific literature and other not aggregated or standardized sources. Most of the studies explored pathogen species and, particularly those with GBIF-mediated data, tended to explore and reuse data of multiple species (>2). Data sources varied according to the taxa and epidemiological roles of the species involved. Biodiversity data repositories were mainly used for species related to hosts, reservoirs, and vectors, and barely used as a source of pathogens data, which was usually obtained from human and animal-health related institutions. While both GBIF- and not GBIF-mediated data studies explored similar diseases and topics, they presented discipline biases and different analytical approaches. Research on emerging infectious diseases may require the access to geographical and ecological data of multiple species. The One Health challenge requires interdisciplinary collaboration and data sharing, which is facilitated by aggregated repositories and platforms. The contribution of biodiversity data to understand infectious disease dynamics should be acknowledged, strengthened, and promoted.

Dataset Information

Challenges and opportunities in the global methane cycle.

Publications

Challenges and opportunities in the global methane cycle.

Similar Datasets

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