4.7 Article

Collaborative agent-based modeling for managing shrub encroachment in an Afroalpine grassland

Journal

JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 316, Issue -, Pages -

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2022.115040

Keywords

Community-based conservation; Ethiopia; Participatory modeling; Social-ecological systems; Traditional ecological knowledge; Co-design and co-creation

Funding

  1. Rufford Foundation [23171-2]
  2. Colorado State University's Graduate Degree Program in Ecology
  3. Center for Collaborative Conservation
  4. Jim Ellis Memorial Scholarship
  5. U.S. National Science Foundation
  6. Mountain Sentinels Research Coordination Network (NSF) [1414106]
  7. I-WATER IGERT program (NSF) [0966346]
  8. Geography and Spatial Sciences Doctoral Dissertation Research Improvement Award (NSF) [1821288]
  9. Direct For Education and Human Resources
  10. Division Of Graduate Education [0966346] Funding Source: National Science Foundation
  11. Direct For Social, Behav & Economic Scie
  12. Division Of Behavioral and Cognitive Sci [1821288] Funding Source: National Science Foundation
  13. Division Of Environmental Biology
  14. Direct For Biological Sciences [1414106] Funding Source: National Science Foundation

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This study co-designed an agent-based model to explore the drivers of shrub encroachment in an African alpine grassland and tested management actions. Due to limited data, the model was parameterized using literature, remote sensing, and expert opinion. Three scenarios were evaluated, revealing the impact of precipitation regimes, grass harvest frequency, and combined grass harvest and shrub removal on shrub encroachment. The study highlights the importance of traditional ecological management and the need for more understanding of changing climatic regimes.
We co-designed an agent-based model of an Afroalpine grassland in Ethiopia that is experiencing unwanted shrub encroachment. The goal was to enable managers of a community conservation area to better understand the drivers of shrub encroachment and to test possible management actions for controlling shrubs. Due to limited site-specific data, we parameterized this model using insights from published literature, remote sensing, and expert opinion from scientists and local managers. We therefore sought to explore potential future scenarios rather than make highly accurate predictions, focusing on facilitating discussions and learning among the diverse co-management team. We evaluated three social-ecological scenarios with our model, examining: (1) the impact of changing precipitation regimes on vegetation, (2) whether changing the frequency of guassa grass harvests would improve the long-term sustainability of the grassland, and (3) whether the combination of grass harvest and shrub removal would affect shrub encroachment. We found that the model was highly sensitive to the amount of grass harvested each year for local use. Our results indicate that the guassa grass was more resilient than shrubs during persistent dry climatic conditions, whereas a reduction in only the early spring rains (known as the belg ) resulted in considerable loss of grass biomass. While our modeling results lacked the quantitative specificity desired by managers, participants in the collaborative modeling process learned new approaches to planning and management of the conservation area and expanded their knowledge of the ecological complexity of the system. Several participants used the model as a boundary object, interpreting it in ways that reinforced their cultural values and goals for the conservation area. Our work highlights the lack of detailed scientific knowledge of Afroalpine ecosystems, and urges managers to reconnect with traditional ecological management of the conservation area in their pursuit of shrub encroachment solutions. The decline or absence of the belg rains is becoming increasingly common in the Ethiopian highlands, and our results underscore the need for more widespread understanding of how this changing climatic regime impacts local environmental management. This work lays a foundation for social-ecological research to improve both understanding and management of these highly threatened ecosystems.

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