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East African megafauna influence on vegetation structure permeates from landscape to tree level scales

  • Hanna Elisabet Sorokina
  • , Matheus Henrique Nunes
  • , Janne Heiskanen
  • , Martha Munyao
  • , James Mwang'ombe
  • , Petri Pellikka
  • , Pasi Raumonen
  • , Eduardo Eiji Maeda*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
31 Downloads (Pure)

Abstract

African savanna elephants (Loxodonta africana) can substantially modify their habitat through their interactions with woody vegetation. Nonetheless, the scale, intensity and characteristics of these relations are not yet fully understood. Consequently, it is unclear how vegetation-megafauna interactions can be disrupted by external factors, such as land management. This study attempted to quantify and characterize structural changes in vegetation caused by elephants, from landscape to tree level scales. We applied multi-scale geospatial tools, including airborne (ALS) and terrestrial laser scanning (TLS), to address the following questions: (1) How do elephants shape landscape level vegetation structure in conservation areas? (2) Are the impacts of elephants evident on individual tree architecture? Our study area was located at the Taita Hills Wildlife Sanctuary in South-eastern Kenya. The occurrence of elephants was estimated using elephant observation records and proximity to elephant tracks. Landscape level structure was assessed using tree density maps calculated based on individually detected treetops from ALS data. Next, TLS measurements of 72 trees were processed using quantitative structural modelling to characterize their architecture. Our results demonstrate a widespread influence of elephants on both landscape and tree level structural characteristics. This influence was strongly mediated by management, as we observed differences in vegetation structure inside and outside conservation areas. Tree density was up to 42% lower (5.84 trees/ha) in conservation areas than in non-conservation areas (10.17 trees/ha). Trees were relatively larger with closer proximity to elephant tracks, while smaller trees were more often observed in areas further away from elephants. At an architectural level, trees closer to elephant tracks had lower ratio between the crown length and the tree height, demonstrating a substantial influence of elephants on the morphological characteristics of trees. Our results highlight the importance of accounting for vegetation fauna interactions when planning conservation areas in African savannahs.

Original languageEnglish
Article number102435
JournalEcological Informatics
Volume79
Early online date17 Dec 2023
DOIs
Publication statusPublished - Mar 2024
Publication typeA1 Journal article-refereed

Funding

This study was funded by the Academy of Finland (decision numbers 318252 , 319905 and 340175 ). The authors would like to thank research assistant Darius Kimuzi of the Taita Research Station and Park Ranger Paul of THWS their great contribution in the field. Field Master of the Taita Research Station of the University of Helsinki Mwadime Mjomba for his advice on selecting suitable tree species for the study, and the hospitality and support given by the staff of Taita Research Station. PP was funded by Academy of Finland decision number: 318645 . Research permit P/18/97336/26355 from National Council for Science and Technology of Kenya is greatly acknowledged. This study was funded by the Academy of Finland (decision numbers 318252, 319905 and 340175). The authors would like to thank research assistant Darius Kimuzi of the Taita Research Station and Park Ranger Paul of THWS their great contribution in the field. Field Master of the Taita Research Station of the University of Helsinki Mwadime Mjomba for his advice on selecting suitable tree species for the study, and the hospitality and support given by the staff of Taita Research Station. PP was funded by Academy of Finland decision number: 318645. Research permit P/18/97336/26355 from National Council for Science and Technology of Kenya is greatly acknowledged.

FundersFunder number
National Council for Science and Technology of Kenya
University of Helsinki Mwadime MjombaP/18/97336/26355
Academy of Finland318252, 319905, 340175, 318645

    Keywords

    • Elephants
    • Kenya
    • Land cover
    • LiDAR
    • QSM
    • Remote sensing

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Ecology, Evolution, Behavior and Systematics
    • Ecology
    • Modelling and Simulation
    • Ecological Modelling
    • Computer Science Applications
    • Computational Theory and Mathematics
    • Applied Mathematics

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