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CABI Book Chapter

Integrated natural resource management: linking productivity, the environment and development.

Book cover for Integrated natural resource management: linking productivity, the environment and development.

Description

This book, which contains 15 separately authored chapters, discusses both the principles and applications of an integrated approach to natural resource management. Such an approach must embrace the complexity of systems and redirect research towards the greater inclusion of issues such as participatory approaches, multi-scale analysis and an array of tools for system analysis, information manageme...

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Chapter 9 (Page no: 175)

Spatial modeling of risk in natural resource management.

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 new methods. At the household level, production instability can have serious effects on income and food security. At the national level, it can have social and economic impacts that may affect all sectors of society. Crop models such as CERES-Maize are excellent tools for assessing weather-related production variability. WATBAL is a water balance model that can provide robust estimates of the potential growing days for a pasture. These models require large quantities of daily weather data that are rarely available. MarkSim is an application for generating synthetic daily weather files by estimating the third-order Markov model parameters from interpolated climate surfaces. The models can then be run for each distinct point on the map. This paper examines the growth of maize and pasture in dryland agriculture in southern Africa (includes the southern part of Tanzania, Malawi, much of Mozambique, and all of Zimbabwe, and extends west from the Indian Ocean to include Zambia, the southeastern part of the Democratic Republic of Congo and small portions of Angola). Weather simulators produce independent estimates for each point on the map; however, we know that a spatial coherence of weather exists. We investigated a method of incorporating spatial coherence into MarkSim and show that it increases the variance of production. This means that all of the farmers in a coherent area share poor yields, with important consequences for food security, markets, transport, and shared grazing lands. The long-term aspects of risk are associated with global climate change. We used the results of a global circulation model to extrapolate to the year 2055. We found that low maize yields would become more likely in the marginal areas, whereas they may actually increase in some areas. The same trend was found with pasture growth. We outline areas where further work is required before these tools and methods can address natural resource management problems in a comprehensive manner at local community and policy levels.

Other chapters from this book

Chapter: 1 (Page no: 1) Research to integrate productivity enhancement, environmental protection, and human development. Author(s): Sayer, J. A. Campbell, B. M.
Chapter: 2 (Page no: 15) Blending "hard" and "soft" science: the "follow-the-technology" approach to catalyzing and evaluating technology change. Author(s): Douthwaite, B. Haan, N. de Manyong, V. M. Keatinge, J. D. H.
Chapter: 3 (Page no: 37) Success factors in integrated natural resource management R&D: lessons from practice. Author(s): Hagmann, J. Chuma, E. Murwira, K. Connolly, M. Ficarelli, P. P.
Chapter: 4 (Page no: 65) The adaptive decision-making process as a tool for integrated natural resource management: focus, attitudes, and approach. Author(s): Lal, P. Lim-Applegate, H. Scoccimarro, M.
Chapter: 5 (Page no: 87) Negotiation support models for integrated natural resource management in tropical forest margins. Author(s): Noordwijk, M. van Tomich, T. P. Verbist, B.
Chapter: 6 (Page no: 109) The question of scale in integrated natural resource management. Author(s): Lovell, C. Mandondo, A. Moriarty, P.
Chapter: 7 (Page no: 139) Delivering the goods: scaling out results of natural resource management research. Author(s): Harrington, L. White, J. A. Grace, P. Hodson, D. Hartkamp, A. D. Vaughan, C. Meisner, C.
Chapter: 8 (Page no: 157) Adapting science to adaptive managers: spidergrams, belief models, and multi-agent systems modeling. Author(s): Lynam, T. Bousquet, F. Page, C. le d'Aquino, P. Barreteau, O. Chinembiri, F. Mombeshora, B.
Chapter: 10 (Page no: 195) Landcare on the poverty - protection interface in an Asian watershed. Author(s): Garrity, D. P. Amoroso, V. B. Koffa, S. Catacutan, D. Buenavista, G. Fay, P. Dar, W. D.
Chapter: 11 (Page no: 211) Integrated natural resource management: approaches and lessons from the Himalaya. Author(s): Saxena, K. G. Rao, K. S. Sen, K. K. Maikhuri, R. K. Semwal, R. L.
Chapter: 12 (Page no: 227) Assessing the impact of integrated natural resource management: challenges and experiences. Author(s): Gottret, M. V. White, D.
Chapter: 13 (Page no: 247) Assessing viability and sustainability: a systems-based approach for deriving comprehensive indicator sets. Author(s): Bossel, H.
Chapter: 14 (Page no: 267) Assessing the performance of natural resource systems. Author(s): Campbell, B. M. Sayer, J. A. Frost, P. Vermeulen, S. Ruiz PĂ©rez, M. Cunningham, A. Prabhu, R.
Chapter: 15 (Page no: 293) Integrating research on food and the environment: an exit strategy from the rational fool syndrome in agricultural science. Author(s): Ashby, J. A.

Chapter details

  • Author Affiliation
  • Centro Internacional de Agricultura Tropical (CIAT), AA 67-13, Cali, Colombia.
  • Year of Publication
  • 2003
  • ISBN
  • 9780851997315
  • Record Number
  • 20033120187