Early Warning of a Harsh Dry Season in Amboseli

Overview

In July we posted a report on the excellent outlook for pastures, livestock and wildlife in dry season extending from July through to the short rains in October. Good short rains in 2024, off-season rains in the January to March dry season, and heavy long rains saw Amboseli pastures recover from the 2022 drought.

The failure of the short rains in October and November, and heavy grazing following the recovery of livestock herds from the 2022 drought, have reversed the gains. The outlook for the coming dry season is severe.

The NDVI greenness maps across southern Kenya and northern Tanzania (Figure 1) show how rapidly conditions have deteriorated since the long rains in April-May. Pastures are heavily grazed across the lowland regions from Tsavo West, through Amboseli, into the Rift Valley and across northern Tanzania. Pastures abundance has fallen steeply from the green zone into the red (Figure 2).

Our monitored plots show bare soil, weathered shrubs, and almost no remaining dry leaf matter. Livestock body condition has dropped sharply, milk yields are extremely low, herders are chasing the scattered green flushes, and livestock prices are falling fast.

Wildlife is faring somewhat better than livestock. This is seen in the delayed drop in body condition (Figure 6) due to the far smaller wildlife numbers and greater pasture reserves in Amboseli and Chyulu National Parks. As in the 2022 drought, a large influx of cattle into the national parks could see wildlife body condition drop steeply in the coming dry season.

The sharp decline in pasture and animals condition stems from the extremely heaving grazing pressure following livestock recovery from the 2022 drought. The rapid deterioration in rangelands conditions is shown in the grazing pressure measure in our monthly pasture plots (Figure 3).

Unless delayed rains in December offer some relief, the January to March dry season will spell severe conditions for families depending on livestock and farmers bordering the pastoral lands. ACP is therefore posting an early warning alert for herders to be prepared to buy in hay before prices escalate sharply, and sell livestock before market prices drop steeply.

In the following report we detail the conditions which sound our early warning alert. We also comment on the outlook for the rangelands in the coming months, and the action needed to avert a repeat of the 2009 and 2022 droughts.

Figure 1: NDVI maps show how vegetation greenness has changed across the Amboseli ecosystem and the neighbouring areas of northern Tanzania since the April-May long rains. The October-November rains have been too poor and patchy to restore depleted pastures, body condition, milk yields and market prices.

Figure 2: The Amboseli Pasture Barometer shows forage biomass falling steeply in recent months. The decline from good to poor conditions has accelerated faster than any time in the past fifty years–despite an increase in peak rainfall since 2017.

The monthly monitored plots in the Amboseli show the speed at which the bumper pastures conditions in July (left) have deteriorated by October (right) due to heavy grazing. There are no dry leaves beneath the perennial shrubs which normally act as last resort for livestock.

Figure 3: Amboseli ecosystem grazing pressure shows the speed at which heavy stocking is depleted due to peak livestock numbers. Grazing pressure is most severe on the subdivided Kimana Group Ranch. All group ranches show a rapid acceleration in grazing pressure from July to October.

Figure 4: Livestock body condition has declined rapidly in the recent months due to heavy grazing and depletion of pastures. Milk yields have fallen steeply as a result, to levels too low to sustain calves and supply pastoral families.

Herd owners are having to move their animals widely to find sufficient forage and are grazing their herds on crop residues where available.

Livestock condition at the end of the rains in July (left) declined rapidly by October (right) due to heavy grazing.

Figure 5: By early 2025 livestock prices peaked to the highest recorded levels since the 2009 drought. Prices are now falling steeply due to poor pasture conditions and can be expected to fall by a half to two thirds in the coming dry season months.

Figure 6: Wildlife body condition has fared far better than cattle due to far smaller population numbers and greater pasture reserves in Amboseli National Park than the surrounding rangelands. Wildlife condition will, however, decline sharply if large numbers of livestock move into the national park as they did in the 2022 drought. If so, conflict between wildlife and livestock will increase and diseases will spread rapidly with herd compression on the late season pastures.

Figure 7: Herders are moving eastward toward Chyulu and northward toward Kaputei South, as shown in the NDVI satellite map for November 2025. Some herders are also heading into the border region near Tanzania.

The harsh outlook calls for preventative measures

The speed with which the good pasture, livestock, milk yields, market prices and wildlife conditions have declined testifies to the heavy post-drought restocking rates suppressing the recovery of the rangelands. The suppression of pasture recovery from the 2022 drought repeats the boom-and-bust cycle of livestock production across the rangelands since the 2000 and 2009 drought (Western, 2010). Heavy grazing pressure now drives the drought cycles (Western and Mose, 2021). The deteriorating pastures incur huge losses in livestock production, pastoral livelihoods, wildlife, and intensify competition (Mose and Western 2022).

It is worth repeating findings from the post-2022 drought report by Sakimba Kimiti (Kimiti, 2023). Herders learned much from their losses in the 2009 drought when over two thirds of their livestock died. They also benefitted from the early warning alert from ACP which gave many herders time to destock and buy supplementary feeds.

The survival rates of cattle, sheep and goats were far higher in the 2022 than 2009 drought as a result. Many herders retained a core herd and breeding stock which enabled them to rebuild their herds faster after the drought. The survey showed the value of early warnings and a multi-pronged approach to drought management. Early sales at better prices avoids heavy stock losses, extreme damage to the rangelands, and ensure better recovery of the pastures and herds.

ACP early warnings also prepare herders in the Amboseli region to move their livestock to richer locations before animals are too weak to move. Herders around Amboseli are already moving cattle north to better pastures at Simba and Emali along the Mombasa Road and to the Chyulu
Hills. The movements relieve the pressure on the Amboseli rangelands and ensure better livestock survival rates.

The drought reduction measures many herders used in 2022-2023 were individual initiatives rather than coordinated action. Coordinated rather than individual action will ensure pastures are set aside as drought reserves, more efficient watering, less destruction to the rangelands, fewer livestock losses, and stronger collective bargaining power in buying food supplements to avoid price gouging.

Contact Us

Amboseli Conservation Program
P.O Box 15289-00509 or 62844-00200
Nairobi, Kenya.

Tel/Fax: +254 20 891360 / 891751
Email: [email protected]

Our Team

Mr. Sakimba
Kimiti

Assistant Researcher

Sakimba is currently pursuing a PhD at the University of Lyon 2 in France. He previously worked as an Assistant Researcher for the Amboseli Conservation Program.

He holds a Bachelor of Science (Wildlife Management and Conservation) degree from the University of Nairobi and  a Master of Science degree in Range Management from the same University.

Prior to joining the ACP, he worked as an Ecological Assistant at South Rift Land Owners Association. At ACP, he is involved in projects dealing with the Dynamics of Predation on Spatial -temporal Basis and in Human Ecology.

His other interests include: GIS, remote sensing, satellite imagery, ecological monitoring, land use change and ecosystem vulnerability.

Our Team

Mr. Sakimba
Kimiti

Assistant Researcher

Sakimba is currently pursuing a PhD at the University of Lyon 2 in France. He previously worked as an Assistant Researcher for the Amboseli Conservation Program.

He holds a Bachelor of Science (Wildlife Management and Conservation) degree from the University of Nairobi and  a Master of Science degree in Range Management from the same University.

Prior to joining the ACP, he worked as an Ecological Assistant at South Rift Land Owners Association. At ACP, he is involved in projects dealing with the Dynamics of Predation on Spatial -temporal Basis and in Human Ecology.

His other interests include: GIS, remote sensing, satellite imagery, ecological monitoring, land use change and ecosystem vulnerability.

Our Team

Ms. Winfridah
Kemunto

Database Administrator

Winfridah  is the  Amboseli Conservation Program’s database Administrator. She has a certificate from Pitman Training Institute and vast experience in working with big data that involve database management,  basic analysis, digital library, data mining and  data visualization.

Her interests include spatial data mining and presentation.  Before Joining ACP, she worked  as a data clerk at South Rift Land Owners Association (SORALO).

Our Team

Ms. Winfridah
Kemunto

Database Administrator

Winfridah  is the  Amboseli Conservation Program’s database Administrator. She has a certificate from Pitman Training Institute and vast experience in working with big data that involve database management,  basic analysis, digital library, data mining and  data visualization.

Her interests include spatial data mining and presentation.  Before Joining ACP, she worked  as a data clerk at South Rift Land Owners Association (SORALO).

Our Team

Mr. David
Maitumo

Field Officer/ Data Collector

David has been working in Amboseli as the ACP field officer since 1977. As a member of the local Maasai community in the Amboseli area, David brings a unique perspective to the program.

His rich understanding of the interaction of people, livestock, and wildlife, and the challenges facing conservation in human landscapes, enriches his key roles in the design of field experiments and long term data collection and monitoring.

Our Team

Mr. David
Maitumo

Field Officer/ Data Collector

David has been working in Amboseli as the ACP field officer since 1977. As a member of the local Maasai community in the Amboseli area, David brings a unique perspective to the program.

His rich understanding of the interaction of people, livestock, and wildlife, and the challenges facing conservation in human landscapes, enriches his key roles in the design of field experiments and long term data collection and monitoring.

Our Team

Dr. David
Western

Founder & Chairman

Dr. David Western, known as Jonah, began research into savannas ecosystems at Amboseli in 1967, looking at the interactions of humans and wildlife.

His work, unbroken since then, has served as a barometer of changes in the savannas and test of conservation solutions based on the continued coexistence of people and wildlife.

Jonah is currently chairman of the African Conservation Centre, Nairobi. He directed Wildlife Conservation Society programs internationally, established Kenya’s Wildlife Planning Unit, chaired the World Conservation Union’s African Elephant and Rhino Specialist Group, and was founding president of The International Ecotourism Society, chairman of the Wildlife Clubs of Kenya, director of Kenya Wildlife Service, and founder of the African Conservation Centre in Nairobi.

He is an adjunct professor in Biology at the University of California, San Diego.

Western’s publications include;

Conservation for the Twenty-first Century (OUP, 1989), Natural Connections: Perspectives in Community-based Conservation (Island Press, 1994) and In the Dust of Kilimanjaro (Shearwater, 2001).

He is presently conducting a study on climate change in the Kenya-Tanzania borderlands in collaboration with University of California San Diego, University of York, Missouri Botanical Gardens, and African Conservation Centre.

Our Team

Dr. David
Western

Founder & Chairman

Dr. David Western, known as Jonah, began research into savannas ecosystems at Amboseli in 1967, looking at the interactions of humans and wildlife.

His work, unbroken since then, has served as a barometer of changes in the savannas and test of conservation solutions based on the continued coexistence of people and wildlife.

Jonah is currently chairman of the African Conservation Centre, Nairobi. He directed Wildlife Conservation Society programs internationally, established Kenya’s Wildlife Planning Unit, chaired the World Conservation Union’s African Elephant and Rhino Specialist Group, and was founding president of The International Ecotourism Society, chairman of the Wildlife Clubs of Kenya, director of Kenya Wildlife Service, and founder of the African Conservation Centre in Nairobi.

He is an adjunct professor in Biology at the University of California, San Diego.

Western’s publications include;

Conservation for the Twenty-first Century (OUP, 1989), Natural Connections: Perspectives in Community-based Conservation (Island Press, 1994) and In the Dust of Kilimanjaro (Shearwater, 2001).

He is presently conducting a study on climate change in the Kenya-Tanzania borderlands in collaboration with University of California San Diego, University of York, Missouri Botanical Gardens, and African Conservation Centre.

Our Team

Dr. Victor N.
Mose

Deputy Director & Head of Bio-statistical Services

Dr. Victor N. Mose is the Deputy Director and Head of Biostatistical Services. He was awarded a PhD in Biomathematics by the University of Pierre and Marie Curie (UPMC), Paris VI, France in 2013.

He has a Masters in bio-statistics from the University of Nairobi, Kenya and a Bachelors degree in Mathematics from the same University.

He also holds a financial mathematics qualification from the Institute of Actuaries, London, UK.

Victor is experienced in ecological modeling, bio-informatics, and geographical information systems (GIS).

His research interests include Population dynamics, migration modelling, Bayesian spatial analysis, ecosystem services and economics modelling, together with biodiversity mapping.

Victor’s publications include;

Mose, V.N., Nguyen-Huu, T., Auger, P., Western, D. 2012. Modelling herbivore population dynamics in the Amboseli National Park, Kenya: Application of spatial aggregation of variables to derive a master model. Ecological Complexity, 10, 42-51.

Our Team

Dr. Victor N.
Mose

Deputy Director & Head of Bio-statistical Services

Dr. Victor N. Mose is the Deputy Director and Head of Biostatistical Services. He was awarded a PhD in Biomathematics by the University of Pierre and Marie Curie (UPMC), Paris VI, France in 2013.

He has a Masters in bio-statistics from the University of Nairobi, Kenya and a Bachelors degree in Mathematics from the same University.

He also holds a financial mathematics qualification from the Institute of Actuaries, London, UK.

Victor is experienced in ecological modeling, bio-informatics, and geographical information systems (GIS).

His research interests include Population dynamics, migration modelling, Bayesian spatial analysis, ecosystem services and economics modelling, together with biodiversity mapping.

Victor’s publications include;

Mose, V.N., Nguyen-Huu, T., Auger, P., Western, D. 2012. Modelling herbivore population dynamics in the Amboseli National Park, Kenya: Application of spatial aggregation of variables to derive a master model. Ecological Complexity, 10, 42-51.

Follow Us

Early Warning of a Harsh Dry Season in Amboseli

At ICoSS, we believe that those who live closest to the land are best positioned to observe and respond to environmental changes. Our community monitoring initiatives train and support local individuals—pastoralists, farmers, youth, and women—to systematically collect and interpret data on key environmental indicators. This participatory approach ensures that conservation efforts are grounded in local knowledge and responsive to real-time conditions.

Pasture condition maps help herders agree on grazing rotations.

How Community Monitoring Works

1. Community-Centric Data Collection

We train local community members to systematically collect data on key environmental indicators such as rainfall, vegetation cover, and wildlife populations. This participatory approach ensures that data is grounded in local context and relevance.

2. Accessible Information Platforms

Collected data is processed and shared through user-friendly platforms, including mobile applications and community notice boards, ensuring that information is accessible to all stakeholders.

3. Collaborative Learning Forums

Regular workshops and forums bring together community members, scientists, and policymakers to discuss findings, share experiences, and co-develop strategies for sustainable land management.

Interactive Data Visualization

An interactive dashboard allows users to explore real-time data collected by community monitors. Users can filter information by region, time period, and specific indicators to gain insights into environmental trends.

  • Rainfall Patterns: Visualize monthly rainfall data across different regions.
  • Vegetation Cover: Assess changes in vegetation density over time.
  • Wildlife Sightings: Track the frequency and distribution of key wildlife species.

Interactive Data Visualization

A gallery showcasing stories from the field, highlighting the impact of knowledge sharing on community resilience and ecosystem health.
  • “Reviving Traditional Practices”: How communities are integrating indigenous knowledge with modern monitoring techniques.
  • “Youth in Conservation”: Engaging the younger generation in ecosystem stewardship through education and technology.

Empowering Communities Through Shared Knowledge and Collaboration

At ICoSS, we believe that sustainable ecosystem management thrives on the collective wisdom of communities, researchers, and policymakers. Our collaborative networks facilitate the exchange of knowledge, experiences, and data, enabling communities to make informed decisions and adapt to environmental changes effectively.

Our Approach to Knowledge Sharing

1. Community-Centric Data Collection

We train local community members to systematically collect data on key environmental indicators such as rainfall, vegetation cover, and wildlife populations. This participatory approach ensures that data is grounded in local context and relevance.

2. Accessible Information Platforms

Collected data is processed and shared through user-friendly platforms, including mobile applications and community notice boards, ensuring that information is accessible to all stakeholders.

3. Collaborative Learning Forums

Regular workshops and forums bring together community members, scientists, and policymakers to discuss findings, share experiences, and co-develop strategies for sustainable land management.

Interactive Data Visualization

An interactive dashboard allows users to explore real-time data collected by community monitors. Users can filter information by region, time period, and specific indicators to gain insights into environmental trends.

  • Rainfall Patterns: Visualize monthly rainfall data across different regions.
  • Vegetation Cover: Assess changes in vegetation density over time.
  • Wildlife Sightings: Track the frequency and distribution of key wildlife species.

Interactive Data Visualization

A gallery showcasing stories from the field, highlighting the impact of knowledge sharing on community resilience and ecosystem health.
  • “Reviving Traditional Practices”: How communities are integrating indigenous knowledge with modern monitoring techniques.
  • “Youth in Conservation”: Engaging the younger generation in ecosystem stewardship through education and technology.