Showing 21 - 28 results of 28 for search '"Intergovernmental Panel on Climate Change"', query time: 0.05s Refine Results
  1. 21

    Accounting for differences between crops and regions reduces estimates of nitrate leaching from nitrogen-fertilized soils by Yan Wang, Yihong Liu, Longlong Xia, Hiroko Akiyama, Xinli Chen, Ji Chen, Yunying Fang, Tony Vancov, Yongfu Li, YuanZhi Yao, Dianming Wu, Bing Yu, Scott X. Chang, Yanjiang Cai

    Published 2025-01-01
    “…Global cropland NO3 − leaching from synthetic N fertilization, calculated through spatially explicit (15.4, 14.8–16.1 Tg N yr–1) and crop-specific (12.9, 11.0–14.8 Tg N yr–1) LFs, is 41% lower than the Intergovernmental Panel on Climate Change Tier 1 global inventory. …”
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  2. 22

    Imputation of missing land carbon sequestration data in the AR6 Scenarios Database by R. Prütz, R. Prütz, R. Prütz, R. Prütz, S. Fuss, S. Fuss, S. Fuss, J. Rogelj, J. Rogelj, J. Rogelj

    Published 2025-01-01
    “…<p>The AR6 Scenarios Database is a vital repository of climate change mitigation pathways used in the latest Intergovernmental Panel on Climate Change (IPCC) assessment cycle. …”
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  3. 23

    Considerations for determining warm-water coral reef tipping points by P. Pearce-Kelly, A. H. Altieri, J. F. Bruno, C. E. Cornwall, M. McField, A. I. Muñiz-Castillo, J. Rocha, R. O. Setter, C. Sheppard, R. M. Roman-Cuesta, C. Yesson

    Published 2025-02-01
    “…These impacts may drive coral ecosystems past critical thresholds, beyond which the system reorganises, often abruptly and potentially irreversibly; this is what the Intergovernmental Panel on Climate Change (IPCC, 2022) define as a tipping point. …”
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  4. 24

    A harmonized dataset relating alternative farmer management practices to crop yield, soil organic carbon stock, nitrous oxide emissions, and nitrate leaching generated using IPCC m... by Roberta Calone, Angela Fiore, Guido Pellis, Maria Luz Cayuela, Gabriele Mongiano, Alessandra Lagomarsino, Simone Bregaglio

    Published 2025-02-01
    “…Current methodologies from the Intergovernmental Panel on Climate Change (IPCC) forassessing the impacts of alternative farming practices on GHG emissions rely on global or country-specific coefficients. …”
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  5. 25

    Effects of converting cropland to grassland on greenhouse gas emissions from peat and organic-rich soils in temperate and boreal climates: a systematic review by Alena Holzknecht, Magnus Land, Jacynthe Dessureault-Rompré, Lars Elsgaard, Kristiina Lång, Örjan Berglund

    Published 2025-01-01
    “…One proposed measure is to convert arable fields on peatlands to grassland, as the Intergovernmental Panel on Climate Change (IPCC) default emission factors (EF) for organic soils are lower from grasslands. …”
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  6. 26

    Analysis of drought and extreme precipitation events in Thailand: trends, climate modeling, and implications for climate change adaptation by José Francisco de Oliveira-Júnior, David Mendes, Helder Dutra Porto, Kelvy Rosalvo Alencar Cardoso, José Augusto Ferreira Neto, Emannuel Bezerra Cavalcante da Silva, Marlúcia de Aquino Pereira, Monica Cristina Damião Mendes, Bernardo Bruno Dias Baracho, Punyawi Jamjareegulgarn

    Published 2025-02-01
    “…The climate indices used were Consecutive Dry Days (CDD), Maximum Number of Consecutive Summer Days (CSU), Consecutive Wet Days (CWD), Warm Spell Duration Index (WSDI), and Maximum Number of Consecutive Wet Days (WW) derived from simulations of an ensemble composed of six models from the Intergovernmental Panel on Climate Change (IPCC) via the Coupled Model Intercomparison Project Phase 6 (CMIP6) using Artificial Neural Networks (ANN) with the backpropagation method. …”
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  7. 27

    Contribution of flood early warning response measures in reducing flood effects in Kilosa District, Tanzania by Japhet Ringo, Shadrack Sabai, Anesi Mahenge

    Published 2025-01-01
    “…Practical implication: Flooding is a disaster that has occurred repeatedly in the current century and is predicted to increase in the near future due to escalating climate change (Intergovernmental Panel on Climate Change [IPCC], 2022), rapidly growing human populations in flood-prone areas (Getahun et al., 2021), and unplanned settlements (Nyam et al., 2024; Williams et al., 2019). …”
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  8. 28

    Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

    Published 2025-01-01
    “…Mapping the high temperature disaster risk in the urban development area of Wuhan and analyzing the high temperature disaster risk and influencing factors thereof at the local scale can provide an important basis for the prevention of high temperature disasters in the city.MethodsBased on the “hazard – exposure – vulnerability” high temperature disaster risk assessment framework proposed by the Intergovernmental Panel on Climate Change, this research constructed an assessment system by utilizing multi-source data, and then pre-processes all relevant indicators to make them dimensionless. …”
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