Exploring Routes to Coexistence: Developing and Testing a Human–Elephant Conflict-Management Framework for African Elephant-Range Countries

Author:

Gross Eva M.,Pereira Joana G.ORCID,Shaba Tadeyo,Bilério SamuelORCID,Kumchedwa Brighton,Lienenlüke Stephanie

Abstract

Creating a future for elephants and people is a highly complex and dynamic challenge, involving social, behavioral, and ecological dimensions as well as multiple actors with various interests. To foster learning from human–elephant conflict (HEC) management projects and share best practices, a study was conducted to review the management of conflicts between elephants and humans in 12 African countries by qualitative expert interviews. Based on this information, a HEC management framework was developed in a two-tiered process. In the first phase, the theory of the framework was developed. In a second phase, the theoretical framework was validated and adjusted through stakeholder participation in two southern African projects (in Mozambique and Malawi). This holistic approach considers environmental as well as social, political, cultural, and economic factors directly or indirectly affecting interactions between people and wildlife. The framework integrates six interlinked strategies to guide managers and conservation practitioners to address HWC drivers and mitigate their impact. A legal environment and spatial planning form the basis of the framework. Social strategies, including meaningful stakeholder engagement and design of appropriate institutional structures and processes are considered the heart of the framework. Technical and financial strategies represent its arms and hands. At the top, monitoring steers all processes, provides feedback for adjustment, and informs decisions. The integration and coordination of these six strategies has great potential as a guiding route to human–wildlife coexistence in Africa and elsewhere.

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Agricultural and Biological Sciences (miscellaneous),Ecological Modeling,Ecology

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