This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 13 open scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Showing 19341–19360 of 20666 papers
Shaikh Afnan Birahim
This paper develops a reproducible monthly accounting framework for the Maldives that integrates rainfall, evaporation, tourism-adjusted water demand, desalination output, and electricity-related carbon emissions. It combines reported desal…
Nathan Mongute Nyamweya, Abdulhakim Husein Osman, Jared Odhiambo Gundi
This Correspondence highlights the case of Dhag'an Valley mangrove forest in Bosaso, Somalia, showing how mangrove degradation undermines climate resilience and carbon sequestration. It calls for equitable inclusion of community-led mangrov…
Seth Opoku Mensah, Brent Jacobs, Rebecca Cunningham
This study examines factors influencing smallholder farmers' adoption of climate change adaptation actions in Ghana's Talensi district. Using logistic regression, it finds that planting improved crop varieties is most common (89%) while rai…
Ebenezer Afrifa‐Yamoah, Yaw Kwaafo Awuah-Mensah, Stephen Bradshaw +1
This paper provides an integrated assessment of climate change impacts on fish-related ecosystem services, tracing causal pathways from physical drivers to socioeconomic outcomes. Using qualitative network analysis, it evaluates seven adapt…
Antonella Gorosábel, Jonas Geldmann
This article explores the dual role of renewable energy in mitigating climate change while potentially harming wildlife through turbines, solar panels, and dams. It advocates for smart planning to balance energy transition with biodiversity…
Muhammad Uzair Qamar, Faisal Baig
This paper critiques Western climate change policies for neglecting humanitarian dimensions, such as impacts on vulnerable communities, equity, and justice. It calls for integrating humanitarian perspectives into climate policy and discours…
Jubaer Shah
This paper examines the impacts of climate change on marine ecosystems and the role of legal frameworks. It reviews international and domestic laws addressing ocean warming, acidification, and sea-level rise, arguing for stronger climate le…
Akhil Shaikh
This review explores AI applications for climate change mitigation and adaptation, using agricultural greenhouses as a case study. A BPMN framework integrating IoT, satellite data, and AI algorithms is proposed for real-time monitoring, dec…
Leon Stephan, Ingrid Schulte, Sabine Fuss
This study provides the first systematic overview of the albedo effect from afforestation and reforestation (A/R) as a carbon dioxide removal strategy. The authors review existing scientific literature and find that A/R generally reduces al…
Gabriele Pizzileo, Riccardo Valentini, Mario Elia +3
This study develops a land-based approach to assess how sustainable land management can offset agricultural GHG emissions and achieve carbon neutrality in rural districts. Applied to a case in southern Italy, it shows that land use conversi…
Osmany Porto de Oliveira, Antoine Maillet
This paper reviews climate action research in Latin America from a policy studies perspective, identifying six key dimensions: the influence of regional specificities, policy cycles of construction and dismantling, varying policy capacity, …
Brenda Zai, Avery Sutherland, Victoria Ng +3
This scoping review identifies mitigation and adaptation strategies for protecting preharvest food safety from climate-sensitive contamination. Five themes emerged: predictive modeling, on-farm interventions, monitoring/surveillance, educat…
Gang Wang, Qiang Zhang, Iestyn Woolway +3
This study analyzes how exogenous heatwaves amplify heat risks in China under anthropogenic climate change. Using climate data and models, it projects increased frequency and intensity of heatwaves, posing severe health and socioeconomic im…
Bernard Cléry Nomo Beyala, Célestin Ghislain Balla Mekongo, Simplice A. Asongu
This study analyzes the impact of economic complexity (technology, trade, research) on carbon inequality. Technology and trade complexity reduce carbon inequality, while research complexity shows no significant relationship. However, econom…
Yanga Nontu, L Mdoda, Bonguyise Mzwandile Dumisa +1
This systematic review of 39 reports examines climate change impacts on livestock production and smallholder livelihoods in Sub-Saharan Africa. Findings show significant threats from heat stress, disease, and resource constraints. The study…
Tuğrul BAYAT, Muhammed Karataş
This study proposes an integrated multi-criteria decision-making framework using CRITIC-MAIRCA methods to evaluate the logistics, sustainability, and economic performance of OECD countries. The analysis reveals that trade openness is the mo…
Kingsley Oyediran Oke
This paper explores the role of soil microbiomes in climate-smart agriculture, highlighting microbial contributions to carbon sequestration, greenhouse gas reduction (up to 81% N₂O reduction), and enhanced drought tolerance. Field applicati…
Tanu Gaur, Satya Pratap Singh, Vinod Kumar +1
This paper reviews the interrelationship between climate change, eco-consciousness, and green technologies. It proposes a conceptual framework linking eco-consciousness and green technology adoption to sustainable development. Findings sugg…
Adedeji Daniel Gbadebo
This study examines the interactive dynamics of CO2 emissions, economic growth, energy use, and industrial activity in South Africa from 1990 to 2022 using wavelet coherence and ARDL modeling. It confirms that economic development and energ…
Rajiv Pandey, Rohit Pradhan, Bharti Shrivas
This paper evaluates the role of AI in optimizing renewable energy systems, using a deep learning LSTM model for solar power forecasting. Results show 25% improvement in forecasting accuracy, 15% grid efficiency gain, and 30% cost reduction…
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