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Local Domain Models for Land Tenure Documentation and their Interpretation into the LADM

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  • Chipofya, Malumbo
  • Karamesouti, Mina
  • Schultz, Carl
  • Schwering, Angela

Abstract

With an estimated 50% of global land held, used, or otherwise managed by communities, interfacing indigenous, customary, and informal land tenure systems with official land administration systems is critical to achieving universal land tenure security at a global scale. The complexity and organic nature of these tenure systems, however, makes their modelling and documentation within standard, generic land administration systems extremely difficult. This paper presents a model that loosely integrates a Local Domain Model (LDM) developed for a Maasai community in Kenya with the Land Administration Domain Model (LADM). The LDM is an ontological schema which captures local knowledge in a systematic, formal way that is directly or indirectly relevant to land administration. The integration with LADM is achieved through an ontological schema called the Adaptor Model. The concept of conditional RRR (Rights, Restrictions, Responsibilities) is introduced within the Adaptor Model to express the dynamics of social tenures. The three domain models LDM, LADM, Adaptor Model are used in the community-based land tenure recording tool SmartSkeMa. Four implementation examples demonstrate how the case-specific LDM extends the range of concepts representable in LADM in order to meet land administration needs from the local community’s perspective. A panel of land administration experts found the LDM model and the functionality of the Adaptor Model to be fit-for-purpose for the Kenyan case and to be addressing an important gap in the land administration tools landscape.

Suggested Citation

  • Chipofya, Malumbo & Karamesouti, Mina & Schultz, Carl & Schwering, Angela, 2020. "Local Domain Models for Land Tenure Documentation and their Interpretation into the LADM," Land Use Policy, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:lauspo:v:99:y:2020:i:c:s0264837720309522
    DOI: 10.1016/j.landusepol.2020.105005
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    References listed on IDEAS

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    1. Liz Alden Wily, 2018. "The Community Land Act in Kenya Opportunities and Challenges for Communities," Land, MDPI, vol. 7(1), pages 1-25, January.
    2. A. Nyong & F. Adesina & B. Osman Elasha, 2007. "The value of indigenous knowledge in climate change mitigation and adaptation strategies in the African Sahel," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(5), pages 787-797, June.
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    Cited by:

    1. Malumbo C. Chipofya & Sahib Jan & Angela Schwering, 2021. "SmartSkeMa: Scalable Documentation for Community and Customary Land Tenure," Land, MDPI, vol. 10(7), pages 1-20, June.
    2. Russell McKenna & Stefan Pfenninger & Heidi Heinrichs & Johannes Schmidt & Iain Staffell & Katharina Gruber & Andrea N. Hahmann & Malte Jansen & Michael Klingler & Natascha Landwehr & Xiaoli Guo Lars', 2021. "Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments," Papers 2103.09781, arXiv.org.
    3. McKenna, Russell & Pfenninger, Stefan & Heinrichs, Heidi & Schmidt, Johannes & Staffell, Iain & Bauer, Christian & Gruber, Katharina & Hahmann, Andrea N. & Jansen, Malte & Klingler, Michael & Landwehr, 2022. "High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs," Renewable Energy, Elsevier, vol. 182(C), pages 659-684.
    4. Claudia Lindner & Auriol Degbelo & Gergely Vassányi & Kaspar Kundert & Angela Schwering, 2023. "The SmartLandMaps Approach for Participatory Land Rights Mapping," Land, MDPI, vol. 12(11), pages 1-21, November.

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