Perception of scale in forest management planning: Challenges and implications

Tang, Swee May; Gustafson, Eric J.

doi:10.1016/s0169-2046(97)00072-8

Cited by 23 publications

(6 citation statements)

References 32 publications

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“…The variability of the area occupied by a vegetation type over time, for example, generally decreases as the spatial context increases until it reaches an asymptote, which can be used to approximate optimal landscape size (Fortin and Dale, 2005;Karau and Keane, 2007). The optimal size of evaluation area will depend on (1) the ecosystem attribute, (2) the dynamics of major disturbance regimes, and (3) the management activity being evaluated (Tang and Gustafson, 1997). Fine woody fuel loadings, for example, would vary across smaller areas than coarse woody debris loads (Tinker and Knight, 2001).…”

Section: Introductionmentioning

confidence: 99%

The use of historical range and variability (HRV) in landscape management

Keane

Hessburg

Landres

et al. 2009

Forest Ecology and Management

313

266

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Section: Introductionmentioning

confidence: 99%

The use of historical range and variability (HRV) in landscape management

Keane

Hessburg

Landres

et al. 2009

Forest Ecology and Management

313

266

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“…Some workers have attempted to overcome this problem by labeling species according to their use of a modified landscape—such labels include “forest‐interior species” (Tang & Gustafson 1997; Zanette et al 2000); “edge species” (Bender et al 1998; Euskirchen et al 2001); and “generalist species” (Andrén 1994; Williams & Hero 2001). Others have more generally captured the notion that different species utilize areas between patches to different extents (Andrén et al 1997).…”

Section: Introductionmentioning

confidence: 99%

Appreciating Ecological Complexity: Habitat Contours as a Conceptual Landscape Model

Fischer

Lindenmayer

Fazey

2004

Conservation Biology

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Organisms respond to their surroundings at multiple spatial scales, and different organisms respond differently to the same environment. Existing landscape models, such as the "fragmentation model " (or patch-matrix-corridor model) and the "variegation model," can be limited in their ability to explain complex patterns for different species and across multiple scales. An alternative approach is to conceptualize landscapes as overlaid species-specific habitat contour maps. Key characteristics of this approach are that different species may respond differently to the same environmental conditions and at different spatial scales. Although similar approaches are being used in ecological modeling, there is much room for habitat contours as a useful conceptual tool. By providing an alternative view of landscapes, a contour model may stimulate more field investigations stratified on the basis of ecological variables other than human-defined patches and patch boundaries. A conceptual model of habitat contours may also help to communicate ecological complexity to land managers. Finally, by incorporating additional ecological complexity, a conceptual model based on habitat contours may help to bridge the perceived gap between pattern and process in landscape ecology. Habitat contours do not preclude the use of existing landscape models and should be seen as a complementary approach most suited to heterogeneous human-modified landscapes.Resumen: Los organismos responden a su entorno en múltiples escalas espaciales, y organismos diferentes responden de manera diferente al mismo ambiente. Modelos de paisaje existentes, como el "modelo de fragmentación" (o modelo parche-matriz-corredor) y el "modelo de variegación," pueden ser limitados en su habilidad para explicar patrones complejos para diferentes especies y en múltiples escalas. Un método alternativo es conceptuar a los paisajes como mapas sobrepuestos de contornos de hábitat especie-específicos. Las características clave de este método son que las diferentes especies responden diferencialmente a las mismas condiciones ambientales y en diferentes escalas espaciales. Aunque se están utilizando métodos similares en modelos ecológicos, hay mucho espacio para los contornos de hábitat como una herramienta conceptualútil. Al proporcionar una visión alternativa de los paisajes, un modelo de contorno puede estimular más investigaciones estratificadas con base en variables ecológicas distintas a los parches y límites de parche definidos por humanos. Un modelo conceptual de contornos de hábitat también puede ayudar a comunicar la complejidad ecológica a administradores de tierras. Finalmente, al incorporar complejidad ecológica adicional, un modelo ecológico basado en contornos de hábitat puede ayudar a reducir la brecha entre patrón y proceso en ecología del paisaje. Los contornos de hábitat no excluyen el uso de modelos de paisaje existentes y deben ser vistos como un método complementario mejor adecuado a paisajes heterogéneos modificados por humanos.

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“…It is able to answer questions concerning preeminent harvesting practices, including harvesting strategies, species selection, allowable cutting area, minimum age of trees to cut and necessary silvicultural treatments, as demonstrated in many studies (e.g. Those Gustafson and Crow 1996;Tang and Gustafson 1997;Gustafson and Rasmussen 2002;Leefers et al 2003). …”

Section: Model Limitation and Assumptionsmentioning

confidence: 99%

Strategic Forest Management Options for Small-Scale Timber Harvesting on Okinawa Island, Japan

Jemali

Shiba

Zawawi

2015

Small-scale Forestry

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Forest-related activities are important as the economic and social drivers for local residents in Okinawa Island. Therefore, strategic timber management planning is a prerequisite to achieve a sustainable timber yield and optimize forest resource utilization. In this study, the practicability of the Timber Harvest Simulation Model (HARVEST) developed by Eric Gustafson from USDA was tested with the aim of assessing the spatial pattern consequence of timber management plans in the subtropical Yambaru Forest of Okinawa Island. HARVEST evaluates options for timber harvesting by providing comparable predictions of age effect, forest spatial distribution and forest edge habitat, as well as patch structure in a targeted forest type and management area. The timber harvest simulation in 2.1 % of the Yambaru timber production areas was investigated using two alternative cutting methods (clustered and dispersed). It was found that small-area clear-cut harvesting, mimicked by a clustered method, was the practical harvesting practice in Yambaru with an estimated timber volume 12 % higher than that from the selectivelogging mimicked by the dispersed method. The mean patch size of the harvested area and forest edge habitat were significantly correlated with timber harvesting method. In spite of some limitations quantified in the model, information generated from HARVEST model was applicable and practical for many forest stakeholders and effective for time-and-cost consideration.

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Perception of scale in forest management planning: Challenges and implications

Cited by 23 publications

References 32 publications

The use of historical range and variability (HRV) in landscape management

The use of historical range and variability (HRV) in landscape management

Appreciating Ecological Complexity: Habitat Contours as a Conceptual Landscape Model

Strategic Forest Management Options for Small-Scale Timber Harvesting on Okinawa Island, Japan

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