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      Exploring the benefits of inoculated cowpeas under different climatic conditions in Namibia

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          Abstract

          Cowpeas ( Vigna uniculata L. Walp) are grown by many smallholder farmers in sub-Saharan Africa for food and their ability to fix nitrogen even under stress. Their performance depends on the indigenous rhizobial strains that live in symbiotic association with the roots; it can be enhanced if the seeds are inoculated with more effective ones. Data of the effectiveness of the technique under a variety of climatic conditions is rare. Here, we thus use a model to upscale two field experiments conducted in Namibia to include different climate change scenarios. The simulations show that non-inoculated cowpeas have mean yields of 0.5 t/ha and inoculated cowpeas 1 t/ha. If climatic conditions are favorable (cool and wet), estimated yield differences increase to over 1 t/ha. In dry years (< 200 mm), the average yield difference is only 0.1 t/ha. In the far future (2080–2100), instances of dry and hot years will increase. Using inoculated cowpea seeds instead of non-inoculated ones thus does not benefit farmers as much then as in the near future (2030–2050). In conclusion, using cowpea seeds inoculated with an efficient rhizobial strain can significantly increase yields under varying climatic conditions, but yield advantages decrease markedly in very dry and hot years.

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          Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization

          By coordinating the design and distribution of global climate model simulations of the past, current, and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experiments, the DECK (Diagnostic, Evaluation and Characterization of Klima) and CMIP historical simulations (1850–near present) that will maintain continuity and help document basic characteristics of models across different phases of CMIP; (2) common standards, coordination, infrastructure, and documentation that will facilitate the distribution of model outputs and the characterization of the model ensemble; and (3) an ensemble of CMIP-Endorsed Model Intercomparison Projects (MIPs) that will be specific to a particular phase of CMIP (now CMIP6) and that will build on the DECK and CMIP historical simulations to address a large range of specific questions and fill the scientific gaps of the previous CMIP phases. The DECK and CMIP historical simulations, together with the use of CMIP data standards, will be the entry cards for models participating in CMIP. Participation in CMIP6-Endorsed MIPs by individual modelling groups will be at their own discretion and will depend on their scientific interests and priorities. With the Grand Science Challenges of the World Climate Research Programme (WCRP) as its scientific backdrop, CMIP6 will address three broad questions: – How does the Earth system respond to forcing? – What are the origins and consequences of systematic model biases? – How can we assess future climate changes given internal climate variability, predictability, and uncertainties in scenarios? This CMIP6 overview paper presents the background and rationale for the new structure of CMIP, provides a detailed description of the DECK and CMIP6 historical simulations, and includes a brief introduction to the 21 CMIP6-Endorsed MIPs.
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            A high-resolution assessment on global nitrogen flows in cropland.

            Crop production is the single largest cause of human alteration of the global nitrogen cycle. We present a comprehensive assessment of global nitrogen flows in cropland for the year 2000 with a spatial resolution of 5 arc-minutes. We calculated a total nitrogen input (IN) of 136.60 trillion grams (Tg) of N per year, of which almost half is contributed by mineral nitrogen fertilizers, and a total nitrogen output (OUT) of 148.14 Tg of N per year, of which 55% is uptake by harvested crops and crop residues. We present high-resolution maps quantifying the spatial distribution of nitrogen IN and OUT flows, soil nitrogen balance, and surface nitrogen balance. The high-resolution data are aggregated at the national level on a per capita basis to assess nitrogen stress levels. The results show that almost 80% of African countries are confronted with nitrogen scarcity or nitrogen stress problems, which, along with poverty, cause food insecurity and malnutrition. The assessment also shows a global average nitrogen recovery rate of 59%, indicating that nearly two-fifths of nitrogen inputs are lost in ecosystems. More effective management of nitrogen is essential to reduce the deleterious environmental consequences.
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              The EPIC Crop Growth Model

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                Author and article information

                Contributors
                livia.rasche@uni-hamburg.de
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 July 2023
                20 July 2023
                2023
                : 13
                : 11761
                Affiliations
                [1 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, Research Unit Sustainability and Climate Risks, , Universität Hamburg, ; Grindelberg 5, 20144 Hamburg, Germany
                [2 ]GRID grid.9026.d, ISNI 0000 0001 2287 2617, Institute of Soil Science, , Universität Hamburg, ; Allende-Platz 2, 20146 Hamburg, Germany
                [3 ]GRID grid.442466.6, ISNI 0000 0000 8752 9062, Department of Natural and Applied Sciences, , Namibia University of Science and Technology, ; Brahms St, Windhoek, Namibia
                [4 ]GRID grid.7704.4, ISNI 0000 0001 2297 4381, Research Group Molecular Plant-Microbe Interactions, , University of Bremen, ; Loebener Str. 5, 28359 Bremen, Germany
                Author information
                http://orcid.org/0000-0002-6494-2596
                http://orcid.org/0000-0002-3210-3632
                http://orcid.org/0000-0003-1911-1651
                http://orcid.org/0000-0003-1307-6496
                http://orcid.org/0000-0002-9565-997X
                http://orcid.org/0000-0001-6570-9502
                http://orcid.org/0000-0002-6833-9292
                Article
                38949
                10.1038/s41598-023-38949-2
                10359254
                37474671
                5a84de01-77a5-4e84-b160-77d63adfa628
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 November 2022
                : 18 July 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002347, Bundesministerium für Bildung und Forschung;
                Award ID: 01DG17004A-1
                Funded by: FundRef http://dx.doi.org/10.13039/501100001655, Deutscher Akademischer Austauschdienst;
                Award ID: 57369814
                Funded by: Universität Hamburg (1037)
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                microbiology techniques,rhizobial symbiosis,climate-change impacts,climate-change adaptation,agroecology

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