Climate change causes reductions in fish habitat suitability in Loktak Lake, India by Vicky Anand, Bakimchandra Oinam, Sebastian Schwindt, Stefan Haun, Silke Wieprecht

“…To predict future habitat suitability, climate change scenarios defined by the Intergovernmental Panel for Climate Change (IPCC) were used for the years 2041–2060 and 2081–2100 under two different scenarios of Shared Socio-Economic Pathways (SSP) SSP1-2.6 and SSP5-8.5. …”
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On the time lag between sea-level rise and basin infilling at tidal inlets by Roshanka Ranasinghe, Zheng Bing Wang, Janaka Bamunawala, Trang Minh Duong

“…Subsequently, to investigate the consequences of using sub-optimal M values on twenty-first century projections of inlet-adjacent shoreline change, we apply a probabilistic, reduced complexity model (G-SMIC), under four IPCC AR6 climate scenarios, to three CEC systems representing small, medium and large systems. …”
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Modeling future sediment retention service in the Bagh-e-Shadi Forest protected area using InVEST and the ACCESS-ESM1-5 climate model by Sharif Joorabian Shooshtari, Tahereh Ardakani, Hadise Beik Khormizi

“…By incorporating the latest IPCC emission scenarios, it addresses a critical research gap in the study area. …”
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Balanço contábil das nações: reflexões sobre os cenários de mudanças climáticas globais by José Roberto Kassai, Rafael Feltran-Barbieri, Luiz Nelson Carvalho, Alexandre Foschine, Yara Consuelo Cintra, Luís Eduardo Afonso

“…O objetivo deste trabalho é elaborar o balanço patrimonial de países com base nos cenários de mudanças climáticas e de aquecimento global apontados pelo Intergovernamental Panel on Climate Change (IPCC), da Organização das Nações Unidas (ONU). O estudo leva em consideração o estoque de recursos florestais e o saldo residual entre as emissões e capturas de carbono ou Greenhouse gas (GHG) estimadas para cada país, em 2020 e em 2050, de acordo com os relatórios Special Report on Emission Scenarios (SRES) A1B1 e A2B2. …”
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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

“…<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. In its current version, many scenarios in the database lack information about the level of anthropogenic carbon dioxide (CO<span class="inline-formula">₂</span>) removal via land sinks, as net-negative CO<span class="inline-formula">₂</span> emissions and gross removals on land are not always separated and are not consistently reported across models. …”
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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

“…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. Determining tipping point thresholds for coral reef ecosystems requires a robust assessment of multiple stressors and their interactive effects. …”
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Increasing vulnerability of an endemic Mediterranean-climate conifer to changing climate and fire regime by Frank W. Davis, Anne-Marie Parkinson, Max A. Moritz, Max A. Moritz, Isaac W. Park, Carla M. D’Antonio

“…Ensembles of MAXENT and General Boosted Models were produced for a 2.1 million ha model domain encompassing BDF’s 672,000 ha range for the period 1981–2010, and were projected to 2040–2069 and 2070–2099 using three climate models (warmer-wetter, warmer, and hotter-drier) under a high emission scenario (IPCC 5th Assessment, RCP 8.5). Wildfire projections were analyzed only for mid-century based on warmer-wetter and hotter-drier climate scenarios. …”
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Potential 2050 distributions of World Terrestrial Ecosystems from projections of changes in World Climate Regions and Global Land Cover by Roger Sayre, Charlie Frye, Sean Breyer, Patrick R. Roehrdanz, Paul R. Elsen, Kevin Butler, Clint Brown, Jill Cress, Deniz Karagulle, Madeline Martin, Florencia Sangermano, Regan L. Smyth, Terry L. Sohl, Nicholas H. Wolff, Dawn J. Wright, Zhouting Wu

“…To support conservation actions that mitigate impacts from these dual threats, we have developed potential World Terrestrial Ecosystem (WTE) distributions for 2050 following IPCC best practice guidelines. This projection of ecosystem distributions builds on the previously released 2015 WTEs, a snapshot of the distribution and conservation status of 431 terrestrial ecosystem types defined as distinct combinations of 18 global climate regions, 4 global landform classes, and 8 global vegetation/land cover classes. …”
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Emisiones de gases de efecto invernadero: simulación de un sistema ganadero de carne típico de la región central Argentina by M.I. NIETO, M.L. GUZMÁN, D. STEINAKER

“…Para estas esti - maciones, se utilizó el nivel 2 de la metodología recomendada por el Grupo Intergubernamental de Expertos sobre el Cambio Climático (IPCC, 2006). Las emisiones promedio para todo el sistema fueron de 1.500 kg eq-CO 2 por animal al año. …”
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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

“…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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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

“…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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An aquaria set‐up for long‐term, multiple‐stressor research in marine organisms by Cristina Gutiérrez‐Zárate, Alfredo Veiga, Andrea Gori, Fabián Gerpe, Leo Domínguez, Alberto Rodríguez, Noelia Arias, Marta Álvarez, Rubén Acerbi, Lucía Vázquez, Juancho Movilla, Marta M. Varela, Rodrigo Alba‐Salgueiro, Joaquín Valencia‐Vila, Covadonga Orejas

“…To prove the efficacy of the set‐up, we provide an assessment over a nine‐month experiment on a deep‐sea coral species, combining values from current in situ and IPCC AR5 RCP 8.5 scenarios for the aforementioned parameters. …”
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Road Transport and Urban Mobility Greenhouse Gas Emissions Factor for Air Pollution Modeling in Burkina Faso by Issaka Abdou Razakou Kiribou, Tiga Neya, Bernard Nana, Kehinde Ogunjobi, Tizane Daho, Y․ Woro Gounkaou, Faith Mawia Muema, Dejene W. Sintayehu

“…The methodology entails the development of a bottom-up model to estimate fuel demand and emission factors under the IPCC 2006 guideline. It assesses greenhouse gases by establishing the specific emission factors using Ouagadougou City as a site of emission data processing. …”
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Satellite quantification of methane emissions from South American countries: a high-resolution inversion of TROPOMI and GOSAT observations by S. E. Hancock, D. J. Jacob, Z. Chen, H. Nesser, A. Davitt, A. Davitt, D. J. Varon, M. P. Sulprizio, N. Balasus, L. A. Estrada, M. Cazorla, L. Dawidowski, S. Diez, J. D. East, E. Penn, C. A. Randles, C. A. Randles, J. Worden, I. Aben, R. J. Parker, R. J. Parker, J. D. Maasakkers

“…These discrepancies could stem from underestimations in IPCC-recommended bottom-up calculations or uncertainties in the inversion from aggregation error and the prior spatial distribution of emissions.…”
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بررسی روند بارش و دماهای کمینه و بیشینه استان آذربایجان شرقی با استفاده از مدل‌‌های جفت شده گزارش ششم (CMIP6)... by نازلی زنوزی علمداری, بهروز سبحانی, مهدی اصلاحی, مسیح اله محمدی

“…این مدل‌‌ها قادر به مدل‌سازی پارامترهای اقلیمی با استفاده از سناریوهای تأیید شده هیات بین‌الدول تغییر اقلیم (IPCC) برای یک دوره بلندمدت هستند. هم اکنون در سطح جهانی مراکز و مدل‌‌های گوناگونی برای مدل‌‌سازی وضعیت اقلیم دهه‌‌های آینده کره زمین با استفاده از سناریوهای انتشار، ساختار فیزیکی و محاسباتی گوناگونی وجود دارد. …”
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