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Uncovering Hidden Biodiversity in Northern Malawi

Uncovering Hidden Biodiversity in Northern Malawi

Uncovering Hidden Biodiversity in Northern Malawi

By Dr Samantha Theron, EWT conservation researcher

 

Field team conducting eDNA biodiversity surveys in Malawi's Nyika National Park wetlands and rivers.

Deep in the heart of Africa, situated between two major faults of the African Rift Valley – Lake Malawi and the Luangwa Valley – lies the Nyika Plateau.  This is the largest montane complex in south-central Africa.

The plateau, along with its surrounding escarpments and hills, comprises the 3,134 km² Nyika National Park (NNP), a  protected area that is not only a sanctuary for diverse fauna and flora, but which also plays a vital role in safeguarding some of the most significant water catchment areas in northern Malawi. The name “Nyika,” means “where the water comes from,” and reflects its importance as one of Malawi’ s key water catchment areas.

Several rivers, including the North Rumphi, Chilinda, Runyina, and North Rukuru, originate on the Nyika Plateau and ultimately flow into Lake Malawi. To the southwest lies the 986 km² Vwaza Marsh Wildlife Reserve. Water from the Hewe River, which originates in Nyika National Park, creates a marsh in the northern part of the reserve. Together with Nyika National Park in Zambia, these protected areas form part of the Malawi-Zambia Transfrontier Conservation Area.

Since a 20-year co-management agreement was signed between Malawi’ s Ministry of Tourism and Peace Parks Foundation in 2023, efforts have focused on managing Nyika and Vwaza as a connected landscape. Understanding the biodiversity within these areas is an important part of effective conservation planning. It is in this context that the Endangered Wildlife Trust (EWT) was recently approached to conduct an environmental DNA (eDNA)-based vertebrate biodiversity assessment of Nyika.

Environmental DNA (eDNA) sampling in Nyika National Park, Malawi, to uncover hidden vertebrate biodiversity.

Finding traces of wildlife through eDNA

Environmental DNA (eDNA) is genetic material that animals leave behind in their surroundings. This includes skin cells, hair, faeces and other biological material.  By analysing environment samples from, for instance, water, soil and sediment, scientists are able to determine which species are present.

However, eDNA also has limitations. Species identification depends heavily on genetic reference databases such as GenBank and BOLD, and many species from remote and under-sampled regions are not yet represented in these databases. As a result, some DNA sequences can only be identified to a broader group, such as a genus or family.

This is particularly important in regions where cryptic species may occur. Animals that appear identical may be genetically different, meaning conventional surveys can underestimate biodiversity.

From the plateau to the laboratory

The Nyika assessment involved 10 sampling sites selected to represent ecologically important habitats and key points within the park’ s water systems. Fieldwork began with training Nyika staff and rangers in water and soil sampling techniques.

At Lake Kaulime, participants learned how to collect water samples. Soil sampling was subsequently demonstrated in forest patches, where the rangers contributed their own knowledge of animal activity and visible trails to help identify suitable sampling locations.

The trained field team then collected samples from a range of environments, including wetlands, forests, waterfalls and river systems. Some of these locations required challenging hikes through dense vegetation and steep terrain.

The samples have subsequently been transported to the EWT laboratory in Stellenbosch. Here, we will isolate DNA, amplify genetic barcodes, sequence the DNA and compare the barcode sequences with existing reference databases to identify the species represented in the samples.

A baseline for future conservation

The project is intended to provide an initial baseline of vertebrate biodiversity in Nyika while testing the usefulness of eDNA as a biodiversity monitoring tool in the landscape.

The results could identify species that are difficult to detect through conventional surveys and highlight areas or taxonomic groups requiring further investigation. They may also reveal previously unrecognised genetic diversity and potentially point to species that are unknown to the park, or even to science.

Importantly, this first survey is not expected to provide a complete inventory of Nyika’ s biodiversity. Seasonal changes in animal activity can influence which species are detected, meaning repeated sampling across different habitats and times of year will be necessary to build a more comprehensive picture.

There is also an urgent need to expand genetic reference databases for species occurring in the region. As new reference barcodes are generated, the accuracy and value of this and future eDNA surveys will increase.

Environmental DNA is no longer a new scientific technique, it is gaining traction globally as an important tool for monitoring biodiversity. For Nyika, it may prove to be highly valuable in establishing the information needed to understand, monitor and ultimately protect one of Malawi’ s most important interconnected landscapes, its wildlife, its forests and, ultimately, the valuable water sources that give Nyika its name.

EWT researchers collecting water samples for eDNA biodiversity monitoring on the Nyika Plateau.

** This project is undertaken in collaboration with Peace Parks Foundation (PPF) and funded by the Deutsche Postcode Lotterie (DPL) (German Postcode Lottery).

Birds in Decline: Comparing Road Surveys and Citizen Science Data in South Africa

Birds in Decline: Comparing Road Surveys and Citizen Science Data in South Africa

Birds in Decline: Comparing Road Surveys and Citizen Science Data in South Africa

By: Erin Adams and Lizanne Roxburgh, Conservation Planning and Science Unit

 

Researchers conducting roadside bird surveys to monitor raptor populations in South Africa.

Monitoring animal populations is a crucial part of conservation, but it can be very expensive and time-consuming. As a result, researchers are increasingly turning to citizen science platforms, which provide valuable data, especially in areas where information is limited.

While well-established citizen science programmes exist in the Global North, many biodiversity-rich regions in the Global South remain underrepresented. South Africa, for example, has some of the highest levels of bird species richness in the world, but it is also experiencing significant declines in bird populations.

To help address this gap, the Southern African Bird Atlas Project 2 (SABAP2) was launched in 2007 and has been running ever since. SABAP2 uses a checklist approach, where participants record whether species are present or absent during surveys. This makes it useful for tracking changes in where species occur. In addition, repeated surveys over time allow researchers to estimate changes in how often species are reported, which can provide insights into their abundance. However, checklist-based data may not always be reliable for measuring changes in population size across large areas or for multiple species. To investigate this further, a recent study co-authored by EWT scientists* tested how accurate this type of citizen science data really is.

The researchers examined population trends for 26 bird species in South Africa, including 18 raptors and eight large terrestrial bird species. They conducted road counts along 752 transects, covering nearly 400,000 km across different biomes (Nama-Karoo, Savanna, and Grassland) in central South Africa between 2009 and 2025. The average transect was 521 km long, with some as short as 80 km and others up to 2,300 km.

During these surveys, one of the researchers drove at 80 km/h on unpaved roads and 120 km/h on paved roads. All raptors and large terrestrial bird species seen (whether flying or perched) were counted along each transect. Birds were identified visually, or, when necessary, by stopping to use binoculars. A GPS device was used to record the exact location of each sighting, along with the number of individuals observed. The data collected from these road counts were then compared with SABAP2 data for 24 of the 26 species, focusing on the same area and time period.

The researchers found that the road count data showed that half of the species (13 out of 26) declined significantly over the study period, while only three species (12%) showed significant increases. The remaining ten species (38%) showed no clear trend.

In contrast, the SABAP2 data suggested a very different picture. Only 3 out of 24 species (13%) showed significant declines, while 11 species (46%) appeared to be increasing. The remaining ten species again showed no clear trend.

When the researchers compared whether trends were increasing or decreasing (regardless of whether they were statistically significant), they found that the two methods agreed only about half the time. In most cases where the results differed, road counts showed declines, while SABAP2 suggested increases.

These findings indicate that many raptors and large terrestrial bird species in South Africa have been declining at worrying rates over the past 16 years, with only a few species showing increases. The exact causes of these declines are not fully understood, but elsewhere in Africa they have been linked to pressures associated with growing human populations, such as expanding agriculture and poaching.

Importantly, this study shows that a checklist-based citizen science programme like SABAP2 may fail to detect population declines in around half of cases. Despite this limitation, SABAP2 and similar atlas projects across Africa remain some of the best tools currently available for monitoring biodiversity.

With some improvements in how the data are collected or analysed, these programmes could become even more accurate and valuable for conservation.

* Zuluaga, S., Murgatroyd, M., Visagie, R., Tate, G., & Amar, A. (2026). Road counts expose widespread declines in South African raptors underestimated by atlas data. Biological Conservation, 111764. https://doi.org/10.1016/j.biocon.2026.111764