A5024740858- Wildlife Ecology and Conservation
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Fire effects on ecosystems
- Wildlife-Road Interactions and Conservation
- Ecology and Vegetation Dynamics Studies
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- Rangeland and Wildlife Management
- Landslides and related hazards
- Hydrology and Watershed Management Studies
- Flood Risk Assessment and Management
- Wildlife Conservation and Criminology Analyses
- Aquatic Ecosystems and Biodiversity
- Fire Detection and Safety Systems
- Water resources management and optimization
- Fish Biology and Ecology Studies
- Experimental Behavioral Economics Studies
- Healthcare Systems and Challenges
- Parasite Biology and Host Interactions
- Forest Management and Policy
- Rangeland Management and Livestock Ecology
- Technology Adoption and User Behaviour
- Fish Ecology and Management Studies
- Atmospheric and Environmental Gas Dynamics
Stellenbosch University
2020-2025
Zimbabwe National Water Authority
2020-2025
Senckenberg Society for Nature Research
2025
University of California, Santa Cruz
2024-2025
Senckenberg Biodiversity and Climate Research Centre
2024-2025
Scientific Services
2022
University of Zimbabwe
2017-2018
When wildfires are controlled, they integral to the existence of savannah ecosystems and play an intrinsic role in maintaining their structure function. Ample studies on wildfire detection severity mapping available but what remains a challenge is accurate burnt areas heterogenous landscapes. In this study, we tested which spectral bands contributed most area when using Sentinel-2 Landsat 8 multispectral sensors two study sites. Post-fire Sentinel 2A images were classified Random Forest (RF)...
ABSTRACT Globally, hundreds of thousands rangers patrol protected areas every day. The data they collect have immense potential for monitoring biodiversity and threats to it. Technologies like SMART (Spatial Monitoring Reporting Tool), which facilitate the management ranger‐collected data, enhanced this potential. However, based on our experience across diverse use cases geographies, we found that ranger‐based is often implemented without a clear plan how will inform critical evaluation...
Abstract While the dominance of policies from Global North has shaped conservation practices, holistic decision‐making is urgently needed to incorporate more local voices, especially in Africa. Effective strategies may be enhanced by incorporating expertise and resources alongside knowledge, lived experiences, insights, leadership communities, scientists, civil society groups South. This approach fosters mutual respect, equitable partnerships, shared accountability moves away parachute...
The difference in structure and composition of landcover types requires accurate mapping burned areas for post-fire ecological assessments. Spectral indices area are mostly hard-coded to particular environments. However, the best spectral index use most unstudied is not known. In this study, out nine optimised using red-edge band, we tested which outperformed others different land cover types. We used Random Forest (RF) classifier detect from Sentinel 2A imagery four study sites assessed...
Accurate land use and cover data are essential for effective land-use planning, hydrological modeling, policy development. Since the Okavango Delta is a transboundary Ramsar site, managing natural resources within Basin undoubtedly complex issue. It often difficult to accurately map using remote sensing in heterogeneous landscapes. This study investigates combined value of climate-based regionalization integration spectral bands with indices enhance accuracy multi-temporal use/cover...
Abstract Ranger‐based monitoring has enormous potential to inform conservation globally, with hundreds of thousands rangers patrolling extensive areas and recording observations illegal activities biodiversity. Much quantitative research demonstrated the pitfalls data collection by rangers, but little work considered its human dimensions. Yet poor engagement with, ownership of, those undertaking it may compromise quality thereby limit evidence‐based conservation. We interviewed supervisors...
Concentrations of aluminium, cadmium, chromium, cobalt, copper, iron, lead, nickel and zinc were determined in surface water, benthic sediments, the gills, liver stomach muscle tissues Oreochromis niloticus Clarias gariepinus peri-urban lakes Chivero Manyame, Zimbabwe. Five sites sampled each lake once per month November 2015, February, May, August 2016. Pollution load index detected no metal contamination, whereas geo-accumulation reflected heavy to extreme sediment pollution, with Fe, Cd,...
Reliable mapping of soil-transmitted helminth (STH) parasites requires rigorous statistical and machine learning algorithms capable integrating the combined influence several determinants to predict distributions. This study tested whether combining edaphic predictors with relevant environmental improves model performance when predicting distribution STH, Ascaris lumbricoides hookworms at a national scale in Zimbabwe.Geo-referenced parasitological data obtained from 2010/2011 survey...
Abstract Natural water level fluctuations have associated effects on quality and resident aquatic communities, although their impacts are magnified if the dams other non-seasonal designated multiple uses. Research demonstrates that excessive impair ecosystem functioning, ultimately leading to shifts between clear-water turbid states in shallow lakes. However, these data lack for Manjirenji Dam Zimbabwe, thus hampering efforts towards effective freshwater resources management reservoir. This...
Detection of key factors driving fire frequency, especially in protected areas, is important for effective management ecosystems. In this study, we used Generalized Linear Models to test the contribution natural (NDVI, wind speed, dry matter productivity, soil moisture, percentage tree cover, elevation and temperature) anthropogenic (distance from settlements) as predictors frequency Hwange National Park adjacent areas. We Akaike Information Criterion (AIC) evaluate variable frequency. The...
Understanding the spatial spread pathways and connectivity of Land Use/Cover (LULC) change within basins is critical to natural resources management. However, existing studies approach LULC as distinct patches but ignore between them. It crucial investigate approaches that can detect aid resource management decision-making. This study aims evaluate utility Circuit Theory Okavango basin. Patches sites were derived from detection based on Deep Neural Network (DNN) for period 2004 2020 used....
The conservation of African elephants (Loxodonta africana) has important ecological, economical, cultural and aesthetic values, at both local global levels (Pittiglio et al., 2014). Despite the role play as keystone species, their populations have been dwindling due to human activities (Sibanda 2016). most serious threats elephant's survival across its range include illegal wildlife trade which exacerbated by an increase in organised poaching (Ouko, 2013). Poaching for meat ivory is far...
Abstract Adaptive management, whereby monitoring is used to evaluate management interventions with uncertain outcomes, theoretically well‐developed but poorly implemented. Previous work has identified several reasons for this, there been little direct investigation into the perceptions of on‐the‐ground managers (those ultimately responsible adopting adaptive management). We conducted interviews nine protected area in Mana–Sapi–Chewore World Heritage Site Zimbabwe understand their...
Remote sensing and modelling of land use/land cover (LULC) change is useful to reveal the extent spatial patterns landscape changes at various environments scales. Predicting susceptibility LULC crucial for policy formulation management. However, use machine learning (ML) limited. This study modelled in Okavango basin using ML techniques. Areas with high are termed priority management areas (PMAs) this study. Trajectories between 1996 2020 derived from existing maps basin. Overlay analysis...
Abstract Biodiversity monitoring and data‐management technologies can enhance the protection of persecuted species, such as African elephants ( Loxodonta africana ), through providing management‐relevant information. Implementing these technologies, however, often presents several capacity resource challenges for field staff in protected areas. In Mid‐Zambezi Valley, Zimbabwe, Zimbabwe Parks Wildlife Management Authority (ZPWMA) is process adopting Spatial Monitoring Reporting Tool (SMART)...
An investigation of the status woodlands at Sengwa Wildlife Research Area (SWRA) revealed factors influencing decline and die-back woody plants a time low elephant densities. The vegetation condition study area in range semi-arid northwest Zimbabwe was randomly assessed 50 × 20 m permanently marked degraded undegraded plots approximately 80 km2. Diversity increased towards downstream. Percentage damage slight on termite three times greater than plots. Density high following period coppice...
Abstract. Fire-enabled Dynamic Global Vegetation Models (DGVMs) play an essential role in predicting vegetation dynamics and biogeochemical cycles amid climate change. Modeling wildfires has been challenging process-based biophysics-oriented DGVMs, as human behaviour plays a crucial role. This study aims to reveal global statistical model for the relationships between biophysical socioeconomic drivers of wildfire monthly burned area (BA) that can be integrated into DGVMs. We developed...
Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI