Integrated modelling of climate, water, soil, agricultural and socio-economic processes: A general introduction of the methodology and some exemplary results from the semi-arid north-east of Brazil

Many semi-arid regions are characterised by water scarcity and vulnerability of natural resources, pronounced climatic variability and social stress. Integrated studies including climatology, hydrology, and socio-economic studies are required both for analysing the dynamic natural conditions and to assess possible strategies to make semi-arid regions less vulnerable to the present and changing climate. The model introduced here dynamically describes the relationships between climate forcing, water availability, agriculture and selected societal processes. The model has been tailored to simulate the rather complex situation in the semi-arid north-eastern Brazil in a quantitative manner including the sensitivity to external forcing, such as climate change. The selected results presented show the general functioning of the integrated model, with a primary focus on climate change impacts. It becomes evident that due to large differences in regional climate scenarios, it is still impossible to give quantitative values for the most probable development, e.g., to assign probabilities to the simulated results. However, it becomes clear that water is a very crucial factor, and that an efficient and ecologically sound water management is a key question for the further development of that semi-arid region. The simulation results show that, independent of the differences in climate change scenarios, rain-fed farming is more vulnerable to drought impacts compared to irrigated farming. However, the capacity of irrigation and other water infrastructure systems to enhance resilience in respect to climatic fluctuations is significantly constrained given a significant negative precipitation trend.

[1]  Axel Bronstert,et al.  The Semi-Arid Integrated Model (SIM), a Regional Integrated Model Assessing Water Availability, Vulnerability of Ecosystems and Society in NE-Brazil , 2001 .

[2]  Claudia Pahl-Wostl Agent Based Simulation in Integrated Assessment and Resources Management , 2002 .

[3]  M. Claussen,et al.  The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate , 1996 .

[4]  Petra Döll,et al.  Integrated Scenarios of Regional Development in Two Semi-Arid States of North-Eastern Brazil , 2002 .

[5]  Thomas Gaiser,et al.  An Information System for Land Resources in Piauí and Ceará , 2003 .

[6]  Nick van de Giesen,et al.  The GLOWA Volta project: Integrated assessment of feedback mechanisms between climate, landuse, and hydrology , 2002 .

[7]  J. Wallace,et al.  Evaporation from sparse crops‐an energy combination theory , 2007 .

[8]  P. Döll,et al.  A global hydrological model for deriving water availability indicators: model tuning and validation , 2003 .

[9]  Axel Bronstert,et al.  Integrated modelling of water availability and water use in the semi-arid Northeast of Brazil , 2000 .

[10]  D. Loucks Sustainable Water Resources Management , 2000 .

[11]  J. Palutikof,et al.  Climate change 2007 : impacts, adaptation and vulnerability , 2001 .

[12]  R. White,et al.  Environment Explorer: Spatial Support System for the Integrated Assessment of Socio-Economic and Environmental Policies in the Netherlands , 2003 .

[13]  Martinus S. Krol,et al.  Semi-arid Northeast Brazil: integrated modelling of regional development and global change impacts , 2004 .

[14]  Martinus S. Krol,et al.  Global change and regional impacts. Water availability and vulnerability of ecosystems and society in the semiarid neotheast of brazil , 2003 .

[15]  Andreas Güntner,et al.  Simple water balance modelling of surface reservoir systems in a large data-scarce semiarid region / Modélisation simple du bilan hydrologique de systèmes de réservoirs de surface dans une grande région semi-aride pauvre en données , 2004 .

[16]  Martin L. Parry,et al.  The effects of climatic variations on agriculture in northeast Brazil. , 1988 .

[17]  A. Bronstert,et al.  Integrated modelling of climate change impacts in Norhteastern Brazil , 2003 .

[18]  Andreas Güntner Large-scale hydrological modelling in the semi-arid north-east of Brazil , 2002 .

[19]  J. Doorenbos,et al.  Yield response to water , 1979 .

[20]  Andreas Döring,et al.  Quality of Life and Migration — Concepts and Results of the Socio-economic Survey in Tauá and Picos , 2003 .

[21]  James C. Bathurst,et al.  Decision support system for desertification mitigation in the Agri basin, southern Italy , 2003 .

[22]  Axel Bronstert,et al.  Representation of landscape variability and lateral redistribution processes for large-scale hydrological modelling in semi-arid areas , 2004 .

[23]  R. Kasperson,et al.  A framework for vulnerability analysis in sustainability science , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[24]  Petra Döll,et al.  Model-based Regional Assessment of Water Use An Example for Semi-arid Northeastern Brazil , 2002 .

[25]  Petra Döll,et al.  Model-based assessment of European water resources and hydrology in the face of global change , 2001 .

[26]  F. Gerstengarbe,et al.  Proposal for the development of climate scenarios , 1997 .

[27]  H. G. Wind,et al.  Design and application of decision-support systems for integrated water management: lessons to be learnt , 2003 .

[28]  John F. B. Mitchell,et al.  The second Hadley Centre coupled ocean-atmosphere GCM: model description, spinup and validation , 1997 .

[29]  Axel Bronstert,et al.  Coupled Models for the Hydrological Cycle: Integrating Atmosphere, Biosphere and Pedosphere , 2005 .

[30]  C. Vörösmarty,et al.  Global water resources: vulnerability from climate change and population growth. , 2000, Science.

[31]  Amy Luers,et al.  Illustrating the coupled human–environment system for vulnerability analysis: Three case studies , 2003, Proceedings of the National Academy of Sciences of the United States of America.