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Journal Article 1998

Autor: Thornton, Philip K. Jones, Peter G.

A dynamic agriucltural land-use model based on a Markov process and governed by a few simple decision rules is described. Currently, the model is purely conceptual, and was designed with one objective: to investigate the possibility of constructing top-down land-use models based on as few process...

Enlace original: https://cgspace.cgiar.org/handle/10568/28101

Investigación en Agricultura
Enlace permanente
Thornton, Philip K. ,  Jones, Peter G. ,  [A conceptual approach to dynamic land-use modelling] ,  A conceptual approach to dynamic land-use modelling
Poster 2007

Autor: Hyman, Glenn Fujisaka, Sam Jones, Peter G. Wood, S. Vicente, M.C. de Dixon, John A.
Enlace original: https://cgspace.cgiar.org/handle/10568/57844

Investigación en Agricultura
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Hyman, Glenn ,  Fujisaka, Sam ,  Jones, Peter G. ,  Wood, S. ,  Vicente, M.C. de ,  Dixon, John A. ,  [Strategic approaches to targeting technology generation : Assessing the coincidence of poverty and drought-prone crop production] ,  Strategic approaches to targeting technology generation : Assessing the coincidence of poverty and drought-prone crop production
Journal Article 2007

Autor: White, Jeffrey W. Boote, Kenneth J. Hoogenboom, Gerrit Jones, Peter G.

Ecophysiological models are increasingly used as research and decision support tools in agriculture, but it is often difficult to assess how suitable a model is for a particular application. Model evaluations usually involve bivariate linear regression between observed and simulated values, which...

Enlace original: https://cgspace.cgiar.org/handle/10568/44030

Investigación en Agricultura
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White, Jeffrey W. ,  Boote, Kenneth J. ,  Hoogenboom, Gerrit ,  Jones, Peter G. ,  [Regression-based evaluation of ecophysiological models] ,  Regression-based evaluation of ecophysiological models
Journal Article 2009-02-15

Autor: Arocha, Y. Zerfy, T. Abebe, G. Proud, J. Hanson, Jean Wilson, M. Jones, Peter G. Lucas, J.

Napier grass (Pennisetum purpureum), the most important forage crop in East Africa, has recently been affected by a devastating disease named Napier Grass Stunt (NGS). A phytoplasma of group 16SrI has been associated with NGS in Kenya and Uganda, whereas in Ethiopia, group 16SrIII was previously ...

Enlace original: https://cgspace.cgiar.org/handle/10568/10

Investigación en Agricultura
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Arocha, Y. ,  Zerfy, T. ,  Abebe, G. ,  Proud, J. ,  Hanson, Jean ,  Wilson, M. ,  Jones, Peter G. ,  Lucas, J. ,  [Identification of potential vectors and alternative plant hosts for the phytoplasma associated with Napier grass stunt disease in Ethiopia] ,  Identification of potential vectors and alternative plant hosts for the phytoplasma associated with Napier grass stunt disease in Ethiopia
Dataset 2015

Autor: Hyman, Glenn Fujisaka, Sam Jones, Peter G. Wood, Stanley Vicente, M. Carmen de Dixon, John

The world s poorest and most vulnerable farmers on the whole have not benefited from international agricultural research and development. Past efforts have tried to increase the production of countries in more favourable environments, farmers with relatively higher potential for improvement benef...

Enlace original: https://cgspace.cgiar.org/handle/10568/77671

Investigación en Agricultura
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Hyman, Glenn ,  Fujisaka, Sam ,  Jones, Peter G. ,  Wood, Stanley ,  Vicente, M. Carmen de ,  Dixon, John ,  [Replication data for: Strategic approaches to targeting technology generation: Assessing the coincidence of poverty and drought-prone crop production] ,  Replication data for: Strategic approaches to targeting technology generation: Assessing the coincidence of poverty and drought-prone crop production
Dataset 2014

Autor: Jones, Peter G. Thornton, Philip K.

This map estimates the drought probability based on the water balance and simulated daily rainfall. A failed season occurs when there is insufficient water to meet crop requirements. The failed season algorithm (FSA) has been used in a number of application including Hyman et al. 2008.

Enlace original: https://cgspace.cgiar.org/handle/10568/77652

Investigación en Agricultura
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Jones, Peter G. ,  Thornton, Philip K. ,  [Failed season drought probability] ,  Failed season drought probability
Journal Article 2002

Autor: Jones, Peter G. Thornton, Philip K.

Making decisions in natural resource management involves an understanding of the risk and uncertainty of the outcomes, such as crop failure or cattle starvation, and of the normal spread of the expected production. Hedging against poor outcomes often means lack of investment and slow adoption of ...

Enlace original: https://cgspace.cgiar.org/handle/10568/44127

Investigación en Agricultura
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Jones, Peter G. ,  Thornton, Philip K. ,  [Spatial modeling of risk in natural resource management] ,  Spatial modeling of risk in natural resource management
Report 2009-08-15

Autor: Jones, Peter G. Thornton, Philip K. Heinke, J.
Enlace original: https://cgspace.cgiar.org/handle/10568/2482

Investigación en Agricultura
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Jones, Peter G. ,  Thornton, Philip K. ,  Heinke, J. ,  [Generating characteristic daily weather data using downscaled climate model data from the IPCC's fourth assessment] ,  Generating characteristic daily weather data using downscaled climate model data from the IPCC's fourth assessment
Journal Article 2000

Autor: Jones, Peter G. Thornton, Philip K.

A software package to generate daily weather data for Latin America and Africa is described. The program is based on a stochastic weather generator that uses a third-order Markov process to model daily weather data. The model has been fitted to data from more than 9200 stations with long runs of ...

Enlace original: https://cgspace.cgiar.org/handle/10568/30038

Investigación en Agricultura
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Jones, Peter G. ,  Thornton, Philip K. ,  [MarkSim: Software to generate daily weather data for Latin America and Africa] ,  MarkSim: Software to generate daily weather data for Latin America and Africa
Journal Article 2005

Autor: Hijmans R.J. Cameron, S.E. Parra, JL Jones, Peter G. Jarvis, Andy

We developed interpolated climate surfaces for global land areas (excluding Antarctica) at a spatial resolution of 30 arc s (often referred to as 1-km spatial resolution). The climate elements considered were monthly precipitation and mean, minimum, and maximum temperature. Input data were gather...

Enlace original: https://cgspace.cgiar.org/handle/10568/44223

Investigación en Agricultura
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Hijmans R.J. ,  Cameron, S.E. ,  Parra, JL ,  Jones, Peter G. ,  Jarvis, Andy ,  [Very high resolution interpolated climate surfaces for global land areas] ,  Very high resolution interpolated climate surfaces for global land areas

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