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a b s t r a c tRural communities in many parts of the tropics are dependent of forests for their livelihoods and for environmental services. Forest resources in the tropics have declined rapidly over the past century and therefore many developing countries in the tropics have reforestation programs. Although reforestation is a long-term process with long-term benefits, existing evaluations of the success of these programs tends to focus on short-term establishment success indicators. This paper presents a review of reforestation assessment that highlights the need to not only consider short-term establishment success, but also longer-term growth and maturation success, environmental success and socio-economic success. In addition, we argue that reforestation assessment should not be based on success indicators alone, but should incorporate the drivers of success, which encompasses an array of biophysical, socio-economic, institutional and project characteristics. This is needed in order to understand the reasons why reforestation projects succeed or fail and therefore to design more successful projects in future. The paper presents a conceptual model for reforestation success assessment that links key groups of success indicators and drivers. This conceptual model provides the basis for a more comprehensive evaluation of reforestation success and the basis for the development of predictive systems-based assessment models. These models will be needed to better guide reforestation project planning and policy design and therefore assist rural communities in tropical developing countries to alleviate poverty and achieve a better quality of life.Crown

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This paper discusses the benefits of applying Systems Thinking to solving natural resource management problems. It first explains the Systems Thinking concept and briefly outlines its history and emergence in agriculture and natural resource management. A series of case studies are then presented which illustrate practical examples of how Systems Thinking has been used to address real life natural resource management issues. The case studies build on the conclusions of each other by adding additional ways (lessons learnt) of incorporating Systems Thinking into practice to address issues more systemically. The first case study deals with examples of how Systems Thinking facilitated the sharing and integration of disparate sources and forms of knowledge, and making sense of the factors influencing tree density in the tropical savanna region of northern Queensland. The second case study deals with how Systems Thinking has been imbedded in the design and implementation of a research project investigating how to improve financial returns to smallholder tree farmers in the Philippines. The third case study illustrates how Systems Thinking was used to design and facilitate an adaptive rodent management project in Cambodia based on participatory research, development and extension. From these experiences, the authors' highlight a variety of key points that lead to the proposition that Systems Thinking should be 'absorbed' into scientific research, in the same way that statistics, is today an integral part of all sciences. A framework for the application of Systems Thinking is presented to help improve sustainable land management.

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The use of landholder typologies to aid the development, implementation, and monitoring natural-resource management (NRM) policies and programs has increased considerably during the past decade. This article explores the potential for using such typologies for a variety of NRM and rural and regional development applications. Review of typology use further suggests that there is potential to refine the way that typologies are developed and applied to better aid NRM, farming systems analyses, and rural and regional development. Before typologies will be adopted more widely, a number of theoretical and methodologic issues must be addressed. These include the following questions: (1) Which criteria and methods should or can be used to classify landholders? (2) How should studies across spatial and temporal scales be integrated? (3) How should multiple and single industry studies be integrated to gain the most value from research? We argue that quantitative research techniques are well suited to provide an underlying structure for landholder typologies, and qualitative research techniques are useful for developing understanding of the nature of variation within and between landholder types. We argued further that because of the potential utility and breadth for the application of landholder typologies, a nested set of landholder typologies could be developed that are coordinated at the national, regional, and local geographic levels, with repeated measures used to track the evolution with time of landholder practices, management values, and socioeconomic characteristics.

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