LELE — The Lapalala Elephant Landscape Experiment

  • Ansprechpartner:

    Jesse M. Kalwij, Annemieke Müller (LW), Sebastian Schmidtlein, Fabian Faßnacht, Peter C. le Roux (UP), Michelle Greve (UP), Bettine Jansen van Vuuren (UJ)

     

  • Projektgruppe:

    Vegetation

  • Förderung:

    Lapalala Wilderness

  • Partner:

    Lapalala Wilderness (LW), University of Pretoria (UP), University of Johannesburg (UJ)

  • Starttermin:

    09/2020

  • Endtermin:

    open-ended

The African elephant (Loxodonta africana) is an important driver of savanna dynamics. However, few studies have tested the impact of these megaherbivores experimentally. Therefore, the long-term ecological impact of growing elephant populations in southern Africa is still poorly understood. The recent introduction of an elephant population to Lapalala Wilderness provides a unique opportunity to fill this gap in science.

The LELE project aims to determine the impact of elephants on savanna ecosystem dynamics by means of a long-term landscape ecological experiment and monitoring programme. We are currently setting up several experimental 6-ha blocks in the home range of a recently re-introduced elephant population. Confounding variables such as distance from water, vegetation type, and edaphic conditions will be controlled for. For logistic and aesthetic purposes, blocks will be placed far enough from existing tracks to be invisible for visitors, yet as close as possible to keep ecological impact of the experiment at a minimum. Herbivore impact will be monitored using three treatment levels: (i) elephant exclosure, (ii) all herbivore exclosure, and (iii) no exclosure as control. Tree dynamics will be studied using two treatment levels: (i) control, and (ii) tree removal. Therefore, each block will consist of 3 × 2 1-ha plots.

The LELE project is unique in design, spatial scale, and longevity. For the first time, the impact of elephants on savanna ecosystem dynamics will be measured in an experimental setting from the start of their re-introduction. Moreover, the size and number of experimental blocks ensures distinguishing between direct and indirect impact of elephants. Lapalala Wilderness appreciates that elephant-induced ecosystem changes typically extent beyond the time-frame of regular research funding programmes. In collaboration with Lapalala Wilderness, we aim to keep this experiment up and running for as long as possible. Therefore, this project will provide suitable baseline data for current and future research projects across all trophic levels. In addition, the outcome of this project will continuously provide the managers of the area with current and accurate veld condition data and management recommendations. Finally, the monitoring programme will make a valuable contribution to the Lapalala Wilderness School for field excursions and training.

Potential research partners or students are welcome to contact us to discuss participation in the LELE project.

Opportunities for BSc and MSc projects

Project 1: Species-specific digital vegetation model (MSc level)

The aim of this project is to test if automatic species recognition from consumer-grade RGB aerial imagery can be used in a savanna ecosystem. Specifically, the student will create a species-specific digital vegetation model of all the LELE plots (1 ha each; N = 48). Fieldwork is planned for the entire month of March 2021. High-resolution RGB imagery will be captured with a drone. Extensive ground truthing data will be collected for CNN training. The output of this project will serve as baseline for annual monitoring of the impact of mega-herbivores on tree dynamics. Supervisors: Dr Jesse M. Kalwij, Felix Schiefer.

Project 2: Biomass estimation from a digital vegetation model (MSc/BSc level)

Biomass estimation is an essential quantification for effective management of savanna ecosystems. Classical methods such as biomass estimation from canopy volume are commonly used but extremely time-consuming. Species-specific digital vegetation models have the potential to provide a cost-effective alternative. In this project the student will develop a means to estimate species-specific tree biomass from a digital vegetation model. The student will collect species-specific biomass and canopy volume data in the LELE plots (1 ha each; N = 48). Fieldwork is planned for the entire month of March 2021. The output of this project will serve as a foundation to monitor the impact of mega-herbivores on tree dynamics. Supervisor: Dr Jesse M. Kalwij

Project 3: Impact of mega-herbivore fences on herbivory distribution (MSc level)

Mega-herbivore fences are designed to prevent elephants from accessing a protected area. Due to the physical design of such fences — an electrified cable at a height of 1.8 m — giraffes are also excluded. Other herbivores are assumed to be unaffected by such fences. The aim of this project is to test the assumption that mega-herbivore fences block access for mega-herbivores only, while non-targeted herbivores remain unaffected. To test this hypothesis, the student will conduct a herbivore presence survey of the LELE plots (1 ha each; N = 48). Species-specific herbivore abundance will be primarily determined from pellets. In addition, animals tracks, data from GPS collars, and camera traps may be used too. Fieldwork is planned for the entire month of March 2021. The output of this project will serve as a foundation to quantify the effectiveness of the LELE exclosure plots. Supervisors: Dr Jesse M. Kalwij, Dr Annemieke Müller.

Fieldwork March 2021

Call for Expression of Interest