IAPRS & SIS, Vol.34, Part 7, "Resource and Environmental Monitoring", Hyderabad, India,2002
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Figure 1. Study area
The study area has a population of six million, with density of
564/sq.km. Agriculture is the main occupation. Compared to
the other areas of Bangladesh, the distribution of land
ownership is highly skewed in the south. A large segment of the
population is landless and poor. In addition to working as
agricultural laborers, they work as fishermen and collect wood,
honey, shrimp fry, etc., from the Sundarbans mangrove forests.
1.2 Problem definition
" »od security .i.e. self sufficiency in paddy production, is an
important consideration in Bangladesh. On the other hand,
shrimp farming, which displaces paddy cultivation, has become
an important source of export earning in recent years. The total
value of shrimp export is more than US$275 million which is
now second to garment export in export earning. The study area
accounts for almost 80% of the total Bagda shrimp area of
Bangladesh. Although the shrimp business is highly profitable,
it has considerable social and environmental consequences. The
negative environmental impacts include land degradation, loss
of livestock, negative impact on public health and overall
quality of life and degradation of the mangrove ecosystem
(CPD, 1999).
The reduced freshwater flow through the Gorai River into the
study area, augmenting salinity intrusion, is also changing the
ecological settings and leading to preference for certain land
use types.
2 DESCRIPTION OF THE SHRIMP-CROP DSS
This DSS analyzes the environmental and socioeconomic
consequences of landuse policies under different scenarios of
salinity intrusion as a result of upstream fresh water inflow. It
focuses on a trade-off between shrimp and rice crop cultivation.
The starting point is a land use classification based on optical
and radar satellite images of different cropping seasons. A
salinity intrusion model divides the study area into five salinity
classes. The extent of land area in each salinity class is outside
management control as it depends on the upstream water
inflow. Image analysis, field information, ancillary data, and
expert knowledge identified five different production regimes,
meaning different types of shrimp and agricultural cropping
cycle and their distribution under each salinity class. The DSS
evaluates the impacts of re-allocating the areas under the
different production regimes in terms of economic, social and
environmental criteria.
The shrimp and agricultural production activities are analyzed
considering the complete chain of activities from inputs,
production and distribution of the outputs. An economic
assessment model calculates the returns from different
production regimes, while social and environmental impact
assessment models quantify the various social and
environmental indicators.
2.1 A framework for analysis
The structure of the DSS follows a generic framework for
analysis (Rijsberman and Koudstaal, 1989). Following this
framework, the main steps for analysis are:
e Definition of problems
e Specification of objectives and criteria.
e Determination of exogenous developments or
scenarios.
e Development of strategies or selection of measures.
e Analysis of the impacts of the combinations of
strategies and scenarios in terms of criteria
(using a computational framework.)
e Evaluation of strategies
The DSS allows the user to follow this framework in the
decision-making context by presenting a stepwise approach
through an interface as shown in Figure 2. This approach
provides a conceptual framework, in combination with a
computational framework. The conceptual framework provides
the context of the quantitative approach in terms of the concrete
decision making objectives and corresponding criteria and
indicators to be used in the final assessment of the available
alternatives. Figure 2 gives an overview of how the DSS links
the conceptual and computational frameworks through a
stepwise approach.
2.2 The stepwise approach through a user interface
The interface of the Shrimp-Crop DSS presents the stepwise
approach in a sequential manner. The first step allows the user
to understand the problems and issues. In the second step the
user has to specify what the objectives and criteria are. These
choices are ‘commands’ for the computational framework,
specifying which outputs are required. In the third and fourth
steps the strategies and scenarios (exogenous developments)
have to be specified. Strategies and scenarios combine in the
"cases for the analysis", which specify the input-settings of the
computational framework. The computational framework
integrates / links the available databases of the resource system
under consideration with (simulation) models that do the actual
computing. This computing is done under the fifth step, after
which the results are presented to the user. After the fifth step it
is up to the user to evaluate the results and use them to support
decision-making. The interface may also include formal
evaluation procedure (e.g. multi criteria analysis) to reach a
decision.
23 Description of problems and issues
The DSS provides a structured and illustrated knowledge base,
through which planners and decision makers can familiarise
themselves better with the problem and its context. To
understand the conflicts and the factors affecting it, the user is
presented with information on the “physical” and “socio-
economic” situation of the study area. Information is also
available on the “production systems” of paddy and shrimp,
describing the recent trends and returns from agriculture and
shrimp farming activities in the form of graphs and tables in
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