Jack Baynes

The Influence of Farmers’ Mental Models on an Agroforestry Extension Program in the Philippines

The influence of farmers’ mental models on the success of an agroforestry extension program on Leyte Island in the Philippines was investigated. Knowledge of farmers’ mental models and hence the likely acceptance of technology was used to inform the design of a hypothetically expanded program. To gain an insight into the reasons behind differing acceptance of extension assistance, data were collected and analysed from formal interviews, translated conversations and visual observations. The data provided a chain of evidence and triangulation between farmers’ stated intentions and their actions. Farmers had little prior knowledge of nursery technology and were highly receptive to extension assistance which enabled them to develop high self-efficacy in seedling production. However, farmers’ rejection of silvicultural advice to thin and prune existing plantations was predicated by existing attitudes to forest resource management. Farmers also expressed a strong preference for a low-cost and low-input approach to establishing timber trees. Visual observations of farmers’ tree establishment practices indicated the existence of gaps in their knowledge of tree growth processes. This investigation illustrates the need to elicit farmers’ mental models as a parallel enquiry to extension activities. If agroforestry extension is to be constructivist and participatory, accommodation of farmers’ mental models and modification of program goals may be necessary. Relatively little is known about the reasons for farmers’ acceptance or rejection of silviculture in Leyte and these results indicate that further research into the way that farmers’ mental models filter and guide acceptance of advice may be worthwhile.

BRINGING AGROFORESTRY TECHNOLOGY TO FARMERS IN THE PHILIPPINES: IDENTIFYING CONSTRAINTS TO THE SUCCESS OF EXTENSION ACTIVITIES USING SYSTEMS MODELLING

This paper presents a systems modelling approach to evaluating the success of an agroforestry extension program in Leyte, the Philippines. During the program, variables which are intrinsic to farmers’ socio-economic and farming systems were found to have influenced the uptake and acceptance of extension advice. Evaluation of the program therefore depended on identifying the variables and their interdependencies and assessing their relative influence on program outputs. For this purpose, a systems approach which encourages breaking systems into component variables, but also acknowledges the context of problems, assisted construction of models. Using both empirical data collected during program activities and input from stakeholders, Bayesian Belief Network software was used to predict critical success factors for four aspects of the overall extension system, namely recruitment, use of written extension materials, farmers’ self-efficacy and retention of participating farmers throughout the program. A key predicted constraint to program recruitment is farmers’ perception of harvest security and while this variable can be partly addressed through dissemination of information on harvesting legislation, title security cannot. Differing levels of farmers’ education result in differences in predicted reading ability, comprehension of extension literature and possible misconstrual of information. The variable most critical to the development of farmers’ self-efficacy is extended on-farm technical assistance and support.

Assessing forest canopy density in a highly variable landscape using Landsat data and FCD Mapper software

Summary Forest canopy density (FCD), estimated with the FCD Mapper, was correlated with basal area and predominant height (PDH) for 48 field plots, measured in highly variable native eucalypt forest at Toolara, south-eastern Queensland, Australia. The Mapper was produced for the International Tropical Timber Organisation and is available on a CD-ROM. It estimates FCD as an undefined index of canopy density using reflectance characteristics of Landsat Enhanced Thematic Mapper images. The Mapper is a ‘semi expert’ computer program which uses interactive screens to allow the operator to make decisions concerning the classification of land into bare soil, grass or forest. The results of a FCD classification are therefore dependent on the operators decisions and were found to be highly sensitive to small changes in settings. A positive, weak (r 2 = 0.36) nonlinear relationship of FCD with basal area was observed, while a strong (r 2 = 0.68) similar relationship was observed between FCD and PDH. The strong relationship of FCD with PDH suggests that this remote sensing technique has promise for forest inventory, but that a quick and robust method of measuring FCD in the field is still required for ground truthing.

Bringing Agroforestry Technology to Farmers in Leyte, the Philippines: A Comparison of Two Extension Assistance Regimes

The response of farmers to personalised forestry and agroforestry extension assistance has not been well documented in the Philippines, thus providing the impetus for this research in which the effectiveness of extended on-farm assistance was compared with more limited assistance. In four municipalities in Leyte Island, farmers responded positively to an extended program which helped them overcome problems in germinating and growing seedlings and establishing trees on their land. A limited assistance program which sought to make use of farmers’ familiarity with growing and raising plants was relatively unsuccessful, with less preparation of tree planting sites and a higher rate of abandonment. Allowing farmers freedom to select planting sites and aspects of technical advice which suited their personal circumstances, encouraged a high degree of cooperation between extension staff and farmers, but 38% of farmers neglected post-planting weed control and 35% of sites were inappropriate for growing trees. Destruction of sites by flooding and grazing also caused farmers to blame extension staff even though these risks had been discussed with them beforehand. This suggested that a more interventionist approach would be appropriate for site selection although it may reduce recruitment. The number of farmers recruited through local government staff was low, but attendance by neighbours at locally held demonstrations was high, suggesting an avenue for further recruitment. Overall, the program was successful in shifting the initiative for further planting from extension staff to those farmers who received extended extension assistance.

Nursery Training for Smallholders: An Evaluation of Two Extension Programs in the Philippines

High-quality seedlings are a prerequisite for successful forestry and agroforestry expansion in developing countries. Unfortunately, in the central Philippines, as supplies of timber from native forest have diminished in recent years, the expansion in planting of timber trees has been retarded by sub-optimal production of seedlings from small-scale nurseries. To address this problem, an extension program supported by the Australian Centre for International Agricultural Research (ACIAR) has attempted to improve the quality of seedlings produced in home nurseries, by assisting smallholders to raise and out-plant seedlings. A complementary program undertaken as part of the Community Agricultural Technology Program (CATP) has attempted to provide community workers and managers of small-scale nurseries with the benefit of recent ACIAR nursery research. Extended assistance in the ACIAR program addressed smallholders’ low self-efficacy in nursery technology and was successful in assisting them to grow high quality seedlings. A limited program of assistance was relatively unsuccessful. Evaluation of the CATP program showed that prior to the training, CATP participants were unfamiliar with some aspects of basic nursery technology. Consequently, they may have been unable to provide competent advice to smallholders. This implies that—as with the ACIAR training—extended training and follow-up assistance may be the key to improving the quality of seedlings for forestry and agroforestry expansion in the central Philippines.