Integrating stand and landscape decisions for multi-purposes of forest harvesting

Shao, Guofan; Wang, Hui; Dai, Limin; Wu, Gang; Li, Yingshan; Lang, Ruili; Song, Bo

doi:10.1016/j.foreco.2004.10.029

Cited by 33 publications

(23 citation statements)

References 16 publications

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“…Extensive forest felling started in 1972 after this forestry bureau was established. The region's forests are important not only for timber resources, but also as habitat for endangered wildlife species, such as the Manchurian tiger (Panthera tigris altaica) and Chinese merganser (Mergus squamatus) [21][22][23] . Two Landsat TM scenes (WRS 116/30 and 116/31) acquired on Sept. 7, 1999, were used for this study.…”

Section: Study Materialsmentioning

confidence: 99%

Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

HuiYan

Dai

et al. 2006

SCI CHINA SER E

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Accurate information about forest volumes is essential for forest management planning. The survey interval of the Forest Resource Inventory of China (FRIC) is too long to meet the demand for timely decision-making required for forest protection, management, and utilization. Analysis of satellite imagery provides good potential for more frequent reporting of forest parameters. In this study, we describe an application of the k-nearest neighbors (kNN) method to Landsat TM imagery for improving estimation of forest volumes. Several spectral features were tested and compared in forest volume estimations, including normalized difference vegetation index, environmental vegetation index, and the combination of the spectral features. The combined index resulted in the most accurate volume estimations. The kNN estimator and the combined index were then used in forest volume estimation. The estimation error (RMSE) of the total volume was 44.2%, much lower than those for Larix forest (the RMSE was 51.7%) and those for the Korean pine and broadleaved forests (the estimation errors were over 71. 7% and 88.19%, respectively). This preliminary study demonstrates the potential of forest volume estimations with remote sensing data to provide useful information for forest management if only limited ground information is available.

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Section: Study Materialsmentioning

confidence: 99%

Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

HuiYan

Dai

et al. 2006

SCI CHINA SER E

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“…FORESTAR ® is intended to sustain forest integrity with three approaches: digitally classifying and map forest zones as described above, balancing landscape-and stand-level decision (Fig. 2), and optimizing multiple services of forest ecosystems by using an index called PO (Priority Order) [35] . Forest services considered with FORESTAR ® include the present needs in timber production, long-term forest production, landscape integrity sustainability, and non-wood products.…”

Section: The Relationships Between Forestar ® and Fem Applications Inmentioning

confidence: 99%

The roles of a decision support system in applying forest ecosystem management in Northeast China

et al. 2006

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Forest ecosystems provide a variety of services and forest ecosystem management (FEM) is an effective approach to maximize the services. Because of the complexity of forest ecosystems, the applications of FEM can be facilitated with decision support systems (DSS) that recognize and incorporate ecological and socio-economic variables. With the rapid development of computation and information technologies, DSS have been advanced in many ways. Traditional forest management within a forestry unit in China is planned on a yearly basis. The planning itself remains primarily a verbal concept as there are no quantitative decision-support tools available to translate the concept into forest management actions. For the purposes of FEM at the management level, a forest management DFF, FORESTAR ® , has been developed under a framework of geographic information system (GIS) and forest models. The paper explained the intelligent modeling mechanisms and demonstrated how the applications of FEM can be strengthened with the applications of FORESTAR ® .Keywords: forest functions, forested landscapes, forest services, forest models, geographic information systems.Forest ecosystem management (FEM) is the integration of ecological, economic, and social factors and a holistic approach to natural resource management [1] . It has two essential goals: one is maintaining the biodiversity, productivity, structure and function of forest ecosystems within historical ranges of variability; the other is maintaining the optimum sustainable flow of renewable resource products and values to meet the current and future needs of society. The applications of FEM involve collaboration of forest managers and scientists, with inclusion and consent of the public in managing human activities www.scichina.com www.springerlink.com 10 Science in China: Series E Technological Sciences within forest ecosystems to produce, restore, or sustain forest ecosystem integrity and desired conditions over the long-term. In order to implement FEM effectively, it is essential (1) to ensure integrating scientists into decision making, linking ecosystem functions to socio-economics and cross-sect oral institutional integration or new institutional mechanisms; (2) to better understand the structure, function and processes, as well as temporal and spatial dynamics, and the effects of different management scenarios and natural change of forest ecosystems [2] .During the course of the forest management, forest managers face many kinds of problems; also face many kinds of answers and decisions. Davis [3] suggested that the main role of managers be making decisions on what can realize the goals of forest ecosystem management. Due to multi-faceted roles and a long lifespan of forest ecosystems, FEM necessitates decision-making that recognizes and incorporates diverse ecological, economic and social processes, a multitude of variables, and conflicting objectives and constraints [4] . Decision-making in forestry is so important that any wrong decisions in forest managemen...

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“…By using GIS and remote sensing, data driving, and forest growth forecast model, a forest resource management, monitor, and analysis system was built at the unit of sub-compartment [30] . A decision support system, FORESTAR ® , has been developed [31,32] for better managing and protecting natural forests in the Changbai Mountains area [33] . The Institute of Applied Ecology, Chinese Academy of Sciences and Benxi Forestry Bureau jointly built and demonstrated the decision support system of forest resource management in eastern Liaoning Province [34] .…”

Section: China's Digital Forestry Researchmentioning

confidence: 99%

Digital forestry research in China

Tang

Shao

et al. 2006

SCI CHINA SER E

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Digital Forestry as a concept was developed after the Digital Earth program. The Chinese scientists were not only among the pioneers who first proposed the concept of Digital Forestry, but also contributed a lot to the development of Digital Forestry. Digital Forestry is a digital framework to maintain forest planting, management, using, and protect. The synergetic use of computationally-intensive quantitative methods together with information technologies is the most important foundation for the development of Digital Forestry. Under this situation, the experience of Digital Forestry development in China is relatively rich. A number of academicians, scholars, and professional administrators were involved in discussing the Digital Forestry Construction Scheme. The Project of Digital Forestry Practicability approved by the State Forestry Administration is a major instance in developing Digital Forestry standard and key techniques. By introducing a case study of Digital Forestry, this paper reviews the concept of Digital Forestry, the way turning traditional forestry into Digital Forestry, and the future development of Digital Forestry.

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Integrating stand and landscape decisions for multi-purposes of forest harvesting

Cited by 33 publications

References 16 publications

Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

Estimation of forest volumes by integrating Landsat TM imagery and forest inventory data

The roles of a decision support system in applying forest ecosystem management in Northeast China

Digital forestry research in China

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