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R. Lilieholm, M. Johnson, S. Meyer, R. Boone, R. Reid, J. Worden, D. Nkedianye, M. Said, S. Kifugo, D. Kaelo & J. Stabach University of Nairobi, Kenya March 14, 2014

Alternative futures for Kenya’s national parks and wildlife reserves

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R. Lilieholm, M. Johnson, S. Meyer, R. Boone, R. Reid, J. Worden, D. Nkedianye, M. Said,

S. Kifugo, D. Kaelo & J. Stabach

University of Nairobi, Kenya March 14, 2014

Spatially explicit models that depict future landscapes under various land use policies & “drivers of change” –

From this…

To this…

Anticipates future landscape conditions by modeling a wide range of alternative scenarios

• Socio-demographic • Economic • Biophysical

Baker et al. 2005

2014

Understanding how today’s

decisions affect tomorrow’s outcomes…

Basic & applied research on biophysical & socioeconomic

systems dynamics

Willamette River Basin (Baker et al. 2004)

Urbanization...

Urbanization

Mining…

Urbanization

Mining

Deforestation, Fencing & Agriculture…

Urbanization

Mining

Deforestation, Fencing & Agriculture

Climate Change…

How will future development & climate change affect the sustainability of pastoralists, wildlife & historic migration patterns?

How will future development & climate change affect the sustainability of pastoralists, wildlife & historic migration patterns?

Nairobi National Park

Masai Mara National Reserve

Amboseli National Park

Map from Reid et al. 2008

Map from Reid et al. 2008

Map from Reid et al. 2008

Map from Reid et al. 2008

2 3

4

5

1

Ecotourism pressures (New lodges & increased visitation)

Deforestation

Fencing

Ecotourism pressures (New lodges &

increased visitation)

Agricultural development

Understanding how today’s decisions affect tomorrow’s outcomes…

Modeling wildebeest migration behavior using:

Hourly GPS tracking

Agent-based models

Modeling wildebeest migration behavior using:

Hourly GPS tracking

Agent-based models

Modeling alternative future development scenarios using:

Remote sensing

Logistic regression

Bayesian Belief Networks

Modeling wildebeest migration behavior using:

Hourly GPS tracking

Agent-based models

Modeling wildebeest migration behavior using:

Hourly GPS tracking

Agent-based models

Modeling alternative future development scenarios using:

Remote sensing

Logistic regression

Bayesian Belief Networks

Landsat Thematic Mapper October 17, 1988

Landsat Thematic Mapper August 19, 2010

SPOT October 13, 2010 Land Cover

SPOT 2010 Land Cover with Fencing Locations

Landsat Thematic Mapper October 17, 1988

SPOT 2010 Land Cover with Fencing Locations

2010

2040

Isinya

Isinya

Isinya

Isinya

Isinya

Kitengela 2003

Kitengela 2013

Isinya

Tuala 2002

Tuala 2013

By modeling how wildebeest migrate across the landscape, we can begin to understand how wildlife will react to changing human & natural

systems…

• Develop a range of alternative futures

• Develop a range of alternative futures • Engage stakeholders in model exploration

• Develop a range of alternative futures • Engage stakeholders in model exploration • Identify areas for critical needs

• Develop a range of alternative futures • Engage stakeholders in model exploration • Identify areas for critical needs • Anticipate future conflicts

And how can we achieve it?

Our research is supported by: NSF grant DEB-0919383

The Maine Sustainability Solutions Initiative (SSI) (NSF grant EPS-0904155 )

CSU NREL & CCC

International Livestock Research Research Institute (ILRI)

Kenya Wildlife Service

African Conservation Centre

www.mainelandusefutures.org

Asante sana!