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Priscilla Ntuchu Kephe

Biographic Data

ID7994036
NAMEPriscilla Ntuchu Kephe
GIVEN NAMESPriscilla Ntuchu
FAMILY NAMEKephe
SIGNATUREKEPHE P N
AFFILIATIONSLeibniz Association
ORCID0000-0002-8995-8148
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2024
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Towards a comprehensive decision support system for agroforestry systems

    Open Access•Ahmed M S Kheir, Marie Gosme et al.•ARTICLE•Environmental Research Letters•2025

    Agroforestry systems (AFSs) enhance biodiversity, productivity, and climate resilience, yet their inherent complexity challenges traditional modeling approaches. This study presents an integrated framework combining process-based modeling (PBM), machine learning, and life cycle assessment (LCA) into a user-friendly decision support system (DSS) for AFS analysis and optimization. Multi-scenario simulations using Hi-sAFe (16 configurations varying …

  • The need for evidence-based climate risk and adaptation assessments

    Open Access•Lisa Murken, Julia Tomalka et al.•ARTICLE•Environmental Research Letters•2024

    The need for evidence-based climate risk and adaptation assessments: lessons learned from the AGRICA project, Murken, Lisa, Tomalka, Julia, Abigaba, David, Amoah, Antwi-Bosiako, Amougou, Joseph Armathé, Anaba, Muriel, Arumugam, Ponraj, Awori, Eres, Léa Baek, Hye-Rin, Below, Till, Cartsburg, Matti, Chemura, Abel, Cronauer, Carla, Didovets, Iulii, Gizaw, Adefires Worku, Gleixner, Stephanie, Gloy, Nele, Grams, Enrico, Habtemariam, Lemlem, Hampf, Ann…

No prominent works on this page.

  • The need for evidence-based climate risk and adaptation assessments

    Open Access•Lisa Murken, Julia Tomalka et al.•ARTICLE•Environmental Research Letters•2024

    The need for evidence-based climate risk and adaptation assessments: lessons learned from the AGRICA project, Murken, Lisa, Tomalka, Julia, Abigaba, David, Amoah, Antwi-Bosiako, Amougou, Joseph Armathé, Anaba, Muriel, Arumugam, Ponraj, Awori, Eres, Léa Baek, Hye-Rin, Below, Till, Cartsburg, Matti, Chemura, Abel, Cronauer, Carla, Didovets, Iulii, Gizaw, Adefires Worku, Gleixner, Stephanie, Gloy, Nele, Grams, Enrico, Habtemariam, Lemlem, Hampf, Ann…

  • Towards a comprehensive decision support system for agroforestry systems

    Open Access•Ahmed M S Kheir, Marie Gosme et al.•ARTICLE•Environmental Research Letters•2025

    Agroforestry systems (AFSs) enhance biodiversity, productivity, and climate resilience, yet their inherent complexity challenges traditional modeling approaches. This study presents an integrated framework combining process-based modeling (PBM), machine learning, and life cycle assessment (LCA) into a user-friendly decision support system (DSS) for AFS analysis and optimization. Multi-scenario simulations using Hi-sAFe (16 configurations varying …

Climate change (2 works) · Adaptation (eye (1 work) · Agriculture Sustainability and Environmental Impact (1 work) · Agroforestry and silvopastoral systems (1 work) · Carbon Footprint (1 work) · Climate change adaptation (1 work) · Climate change impacts on agriculture (1 work) · Climatology (1 work) · Computer Science (1 work) · Decision support system (1 work)

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