How do invasive plants impact African wild mammals?

Lead Research Organisation: Durham University
Department Name: Biosciences

Abstract

Background: Large areas of land in Kenya have been invaded by introduced plant species. These invasions often have negative impacts on peoples' livelihoods, by reducing the forage value of rangelands for pastoral livestock1. However, the impacts of these invasions on wild mammals are not fully understood, yet these might have important implications for human-wildlife conflicts. Invasions of rangelands may affect habitat quality for wildlife species, and thus their movement, distribution and habitat use within a landscape, and we need this information in order to fully understand the ecological and human impacts that plant invasions have, and whether plant invasions exacerbate human-wildlife conflicts. To achieve coexistence of humans and wildlife within landscape, we need to better understand how both interact with plant invasions, and what the effect of invader removal will be, so that invader impacts and human-wildlife conflicts can be mitigated effectively. This project will assess the distribution and habitat use of wild mammals in landscapes of Laikipia county (Kenya) in relation to invasions by prickly pear cacti (Opuntia), which are known to form monospecific stands that impede wild and livestock animal movements. Some of these invasions have been subjected to biological control, which offers an opportunity to understand how mammal distributions may change over time after invader removal.

Aims: In this project, the PhD candidate will address the following four questions:
1) How do invasions affect the distribution and movement of wild mammals in the landscape?
2) What is the distribution of human-wildlife conflicts within the landscape?
3) Do current invasions create a 'landscape of avoidance', that increases the likelihood of human-wildlife encounters and conflicts?
4) What are the impacts of biological control of plant invasions, on wild mammal movement and distribution?

Methods: Q1 will be addressed using camera-trapping and occupancy analysis methods2 to estimate and model the density and movement of wildlife in the landscape. These methods have been used to monitor the distribution of invasive mammals in landscapes, but have not yet been used to assess how invasive plants related to native mammal distributions. Q2 will be addressed with surveys of local households and cultural mapping techniques3 to map and categorise conflicts in the landscape. Habitat surveys, remote sensing and GIS will be used to capture information on landscape status (invaded, not invaded; used or not used by farmers), and other landscape features (catchments, settlements, elevation). These data will then be used to build landscape models, which will allow us to test, using data on animal densities and movements, whether plant invasions create a 'landscape of avoidance' leading to increased risk of human-wildlife conflicts (Q3).
Q4 will be addressed using camera-trapping and habitat selection models in a survey area that includes areas where Opuntia biological control has been undertaken, to assess, how wild mammal movement and distribution are impacted by Opuntia removal.

References: 1. Shackleton et al. (2017) African Journal of Range and Forage Science doi: 10.2989/10220119.2017.1301551; 2. Davis et al. (2018) Biological Invasions 20: 877-890; 3. Constant et al. (2015) Biodiversity and Conservation 24(12): 2967-2989.

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
NE/S007431/1 01/10/2019 30/09/2028
2182074 Studentship NE/S007431/1 01/10/2019 31/05/2023 Peter Stewart
 
Description While working on this project we have made important conceptual and methodological advances. Specifically, we have:
1) Brought together and synthesised the scattered research on how invasive plants cause ecological impacts through changing animal behaviour. In doing so we identified priority research questions and set future directions for the field.
2) Advanced the statistical methods used to study species occurrence. As these methods are not only important to address our research questions, but also fundamental ecological questions about the patterns and drivers of species' distributions, our findings have the potential to achieve wide-ranging impact.

Analyses to address the project's other questions are currently in an advanced stage, and we hope to publish them in the near future.
Exploitation Route Our findings have already been put to use by the scientific community. In particular, our review on the impacts of invasive plants on animal behaviour provides other researchers with comprehensive and detailed coverage of the literature, and highlights priority questions for future research. The paper continues to receive a high level of engagement from the academic community, and is regularly cited in other research.

Our findings also have implications which reach beyond the scientific community. As information on the patterns and drivers of species' distributions is important for environmental management (e.g., predicting the spread of invasive species, assessing the distributions of key species within protected areas, understanding the effects of anthropogenic noise pollution on where species occur) our methodological advances in this area can be taken on and applied in a management setting.
Sectors Environment

 
Description In addition to the impacts on academic research and environmental management, which we describe in other sections, our project has also achieved impact through engaging a substantial number (>7000) of members of the public, providing them with the opportunity to learn more about the impacts of invasive species as well as about conservation research in general. While the Covid-19 pandemic has presented significant challenges to our research - in particular, the cancellation or curtailment of much of our planned fieldwork - we have been able to overcome these challenges and have collected a substantial dataset which will allow us to answer the key ecological questions of our project. Our dataset also has significant potential for use in future research to address questions beyond the scope of this project. This potential has recently begun to be realised - we recently contributed a small proportion of our data to a manuscript which is now published in the British Ecological Society's Journal of Ecology.
First Year Of Impact 2021
Sector Education,Environment
 
Description Prickly Pear Project Kenya (Zooniverse) 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact Project on the citizen science platform Zooniverse, in which members of the public are able to view, classify, and discuss camera trap images taken during the project. To date (27 Feb 2023) the project has engaged 7607 volunteers, who have made over 2 million image classifications since the project launched in late 2021. The project's discussion boards are extremely active, with over 22000 comments across more than 13000 separate discussions to date. Some of our favourite discussions include a list of animals spotted at "Hippo Hollow" (a particularly picturesque riverside site where hippos are often observed resting) and a list of bird species spotted on the camera traps (currently totalling 63 species). The project also contains educational resources (written by us), where volunteers can learn about the project's aims, the ecology and management of prickly pear cactus (Opuntia) invasions in Kenya, the mammal species which live in the area, and the features of the ecosystem. The project has resulted in several associated outreach events including virtual Q+A sessions with schools. We have also had numerous volunteers engage with our project as part of the volunteering component of schemes such as the Duke of Edinburgh's Award.
Year(s) Of Engagement Activity 2021,2022,2023
URL https://www.zooniverse.org/projects/peter-dot-stewart/prickly-pear-project-kenya