Abstract

The influence of environmental factors on the distribution and persistence of African elephants (Loxodonta africana) is pertinent to policy makers and managers to formulate balanced plans for different land‐use types.The study focuses on movement of elephants and how they utilize foraging areas in Sioma Ngwezi landscape in Zambia by answering the following questions: (1) Which environmental variables and land‐cover class predict the movement of elephants during the wet season in Sioma Ngwezi landscape? (2) What is the wet season suitable habitat for elephants in Sioma Ngwezi landscape? (3) What are the major wet season movement corridors for elephants in Sioma Ngwezi landscape?We used GPS telemetry data from the collared elephants to assess habitat connectivity. Maximum entropy (MaxEnt) and linkage mapper were the tools used to predict habitat suitability, movement corridors, and barriers in the landscape during the wet season.The study identified elevation, land cover, and NDVI as the most important environmental predictors that modify the dispersal of elephants in the landscape during the wet season. Additionally, a total of 36 potential wet season corridors were identified connecting 15 core areas mainly used for foraging and protection from poachers in the landscape. Of these, 24 corridors were highly utilized and are suggested as priority corridors for elephant movement in the landscape.The identified wet season habitats and functional corridors may help to combat elephant poaching by patrolling areas with high relative probability of elephant presence. The findings may also help abate human–elephant conflict such as crop‐raiding by managing identified corridors that run into agriculture zones in the game management area.

Highlights

  • The integrity and functionality of an ecosystem coupled with its biodiversity and ecosystem services maintenance is made possible by the flow of species, materials, energy and information across the landscape (Ayram et al, 2016)

  • The results indicate that elephant distribution in the wet season in Sioma landscape is mainly predicted by three environmental factors, namely; Elevation, landcover and Normalized Difference Vegetation Index (NDVI)

  • The use of habitat suitability models (i.e., Maximum Entropy (MaxEnt)) is an effective non-subjective way of creating resistance raster that are important in species movement studies

Read more

Summary

Introduction

The integrity and functionality of an ecosystem coupled with its biodiversity and ecosystem services maintenance is made possible by the flow of species, materials, energy and information across the landscape (Ayram et al, 2016). This knowledge has awakened serious interest in conservation biology especially landscape connectivity studies. Structural connectivity is based on landscape structure irrespective of the behavioural or biological attributes of a species relating with them (Kindlmann & Burel, 2008) In other words, it is based on corridors defined as relatively narrow strips of a landscape type that are different on both sides (Turner, et al, 2001). Functional connectivity is a product of how landscape structure affect the dispersal behaviour of species (Puyravaud et al, 2017)

Methods
Findings
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call