Futuros Alternativos para la Región de Loreto

 

ALTERNATIVE FUTURES FOR THE REGION OF LORETO,
BAJA CALIFORNIA SUR, MEXICO


The Conceptual Framework

The study of the Loreto region is organized according to the framework for Alternative Futures studies developed by Carl Steinitz (1995). The framework consists of six questions (Figure 5). In designing a study of Alternative Futures for an area, the answers – the models and their applications – result from the unique conditions of the study area.

I. How should the state of the landscape be described in content, space, and time?

This question is answered by representation models that describe the study area. The boundary of the study area is defined to allow modeling interactions among hydrological, economic, and ecological processes, and to include the areas most directly affected by policy decisions. A computer-based Geographic Information System (GIS) is used to organize the data spatially, to model and represent the complex processes at work. The baseline land use and economic conditions are defined for the year 2005. This establishes the reference period against which the impacts of future change are measured.





II. How does the landscape operate? What are the functional and structural relationships among its elements?

This question is answered by process models that provide information for the assessments that form the core of the study. Process models are developed for economics, new land use development, hydrology, terrestrial ecology, marine ecology, visual quality, and recreation. Process models are used to describe and evaluate how the current landscape works, and to assess the potential impacts of each of the scenarios relative to baseline conditions in the year
2005. Just as issues facing the region are interrelated, the computer models are interlinked.
 



The economic and demographic models are based on a range of development alternatives and the relationship between the number of rooms in the tourism and high-end housing markets and the rate at which new migrants are drawn to the area in search of economic opportunities. The demographic projections associated with each of the scenarios produce estimates of the demand for new housing and for commercial, industrial, and tourism-related development.


The development model evaluates the attractiveness of the available land for different types of new land use demands. This model directs the computer allocation of new housing and business development to preferred locations in the study area.

The hydrological model assesses both ground and surface water. The groundwater model estimates the estimated annual recharge of groundwater. This serves as a rough measure of the sustainable levels of groundwater extraction that will be available. The groundwater model also predicts the impact of higher pumping rates on the aquifer by estimating the year in which saline intrusion will render the aquifer unusable without employing desalinization. The level of future water demand is linked to the economic and demographic projections. The surface water model identifies areas at risk of flooding in the event of a 50-year storm.

The visual model uses the results of a photographic survey to define the scenic preferences and visual quality of the landscape as evaluated by local residents and tourists. The model applies these preferences to describe the existing scenic quality throughout the study area and forms the basis for measuring changes in visual quality associated with each of the Alternative Futures. Finally, a land value model assesses the impact of the different policy sets on property values.

The terrestrial ecology model assesses the relative value of the region’s vegetation and habitat types. The marine ecological model assesses the potential impact of land use and demographic changes on the adjoining marine areas. An additional model looks at fishing catch and its influence on the risk of overexploitation in the fisheries.


III. Is the current landscape working well?

This question is answered by evaluation models, which evaluate existing conditions in the study area in terms of the parameters inherent in each of process models listed above. The output of each of the evaluation models is a map or chart of the baseline conditions in 2005.


IV. How might the landscape be altered, by what policies and actions, where and when?

This question is answered by the change scenarios that are projected in the research. The scenarios were developed based upon wide ranging discussions with stakeholders and experts, and are intended to represent the broadest spectrum of foreseeable futures.


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