incomes, household capital, household savings, food security, top-soil erosion and
the length of fallow periods. These represented outcome indicators of the
simulations, which were run for a period of 15 years (2003–2017). The assessment
started at the farm level, and based on a household’s performance in terms of the
above indicators, each farm household was classified into one of three classes:
Sustainable (S), Conditionally sustainable (C) and Non-sustainable (N)
(Potchanasin 2008). The sustainability of farming systems at the village level was
evaluated based on the number of farm households in each class, and the results of
the area’s farming systems sustainability at the village level were presented using a
Sustainability Index (SI) for each indicator and a Performance Index (PI) for all the
indicators. These indices were presented as percentages, with higher or increasing
percentages indicating a greater level of sustainability.
10.5.3 Data
Both primary and secondary data were used in this study. The first primary data
came from a 2004 survey carried out by Praneetvatakul and Sirijinda (2005), who
used structured questionnaires on 32 randomly selected farm households out of 56
in Bor Krai village. The second primary data included field surveys conducted by
the researcher in 2005 and 2006. For the survey in 2005, the data consisted of
quantitative and qualitative data about the behavioral and decision-making aspects
of farm households and other stakeholders. Additional data were collected, such as
village land use, the amount of water resource release from natural springs and
Geographic Information System (GIS) data. The 2006 survey provided data for the
model validation and the testing of the hypotheses on farm household behavior and
decision-making processes, based on the farm household group sessions. Diagrams
on significant behavior and decision-making processes were presented and used as a
tool for information elicitation and confirmation of the diagrams, which were
hypothetically predetermined from all the available information and data from the
surveys. In addition, the study used secondary data from various data sources to
complement the primary data for the analysis.
10.5.4 The CatchScapeFS Model
The integrated CatchScapeFS model was based on the CatchScape3 model (Becu
et al. 2003), which was developed on the CORMAS platform using the SmallTalk
programming language. The model had two principle components: a biophysical
and a socio-economic component. The biophysical component consisted of a
hydrological model, a crop model, a water balance model and a soil erosion
model, which for this study were all embedded in the landscape model
(Fig 10.12). Each sub-model can be presented as follows.
398
C. Marohn et al.
the length of fallow periods. These represented outcome indicators of the
simulations, which were run for a period of 15 years (2003–2017). The assessment
started at the farm level, and based on a household’s performance in terms of the
above indicators, each farm household was classified into one of three classes:
Sustainable (S), Conditionally sustainable (C) and Non-sustainable (N)
(Potchanasin 2008). The sustainability of farming systems at the village level was
evaluated based on the number of farm households in each class, and the results of
the area’s farming systems sustainability at the village level were presented using a
Sustainability Index (SI) for each indicator and a Performance Index (PI) for all the
indicators. These indices were presented as percentages, with higher or increasing
percentages indicating a greater level of sustainability.
10.5.3 Data
Both primary and secondary data were used in this study. The first primary data
came from a 2004 survey carried out by Praneetvatakul and Sirijinda (2005), who
used structured questionnaires on 32 randomly selected farm households out of 56
in Bor Krai village. The second primary data included field surveys conducted by
the researcher in 2005 and 2006. For the survey in 2005, the data consisted of
quantitative and qualitative data about the behavioral and decision-making aspects
of farm households and other stakeholders. Additional data were collected, such as
village land use, the amount of water resource release from natural springs and
Geographic Information System (GIS) data. The 2006 survey provided data for the
model validation and the testing of the hypotheses on farm household behavior and
decision-making processes, based on the farm household group sessions. Diagrams
on significant behavior and decision-making processes were presented and used as a
tool for information elicitation and confirmation of the diagrams, which were
hypothetically predetermined from all the available information and data from the
surveys. In addition, the study used secondary data from various data sources to
complement the primary data for the analysis.
10.5.4 The CatchScapeFS Model
The integrated CatchScapeFS model was based on the CatchScape3 model (Becu
et al. 2003), which was developed on the CORMAS platform using the SmallTalk
programming language. The model had two principle components: a biophysical
and a socio-economic component. The biophysical component consisted of a
hydrological model, a crop model, a water balance model and a soil erosion
model, which for this study were all embedded in the landscape model
(Fig 10.12). Each sub-model can be presented as follows.
398
C. Marohn et al.