Computer visualization of pre-settlement and current forests in Wisconsin

Stoltman, Andrew M.; Radeloff, Volker C.; Mladenoff, David J.

doi:10.1016/j.foreco.2007.02.029

Cited by 12 publications

(8 citation statements)

References 28 publications

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“…As stated by Stoltman et al (2007), visualization tools provide useful aid to forest managers and restoration ecologists. The visual exposure layer can easily be included in multipurpose forest management models, so as to decrease the potential visual impact of harvesting, planting design, habitat improvement, and so on.…”

Section: Discussionmentioning

confidence: 99%

The visual exposure in forest and rural landscapes: An algorithm and a GIS tool

Santos

Juan

Rapp-Arrarás

et al. 2011

Landscape and Urban Planning

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Section: Discussionmentioning

confidence: 99%

The visual exposure in forest and rural landscapes: An algorithm and a GIS tool

Santos

Juan

Rapp-Arrarás

et al. 2011

Landscape and Urban Planning

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“…The integrated reasoning based on user input parameters factor, forecast, interpretation and other mechanisms can help users design tree growth management program, answer the problem of management techniques and the dynamic regulation trees fertility process, and can accurately predict the trees at various stages of growth conditions and yield, achieve precision control and quantitative management objectives of environment and tree growth and development [6].…”

Section: B Neural Expert Systemmentioning

confidence: 99%

Research of Modern Information Technology on Tree Growth Management Decision Making Model

Li¹,

Zhang²,

Liu³

et al. 2013

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)

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Abstract-Tree growth management decision-making model can simulate growth management of tree and perform quantitative analysis of tree growth conditions. This paper explores the feasibility of modern information technology in management assessment of tree growth, information technology include neural network, ontology and expert system technology, then ontology technology is used to establish ontology database and knowledge base of tree growth management resource, the growth simulation and tree growth management ontology technology are used to build simulation models of tree growth, then expert systems and neural network technology are combined to simulate tree growth development process of decision-making model. The practice has proved that the research can not only predict the growth conditions of tree and dynamic grasp the growth process of the tree, but also can provide theoretical basis for the analysis and evaluation of tree growth management, greatly improving the level of tree growth management.

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“…Major land-use changes that occurred in the early 1900s dramatically altered fire frequency and extent, forest structure and composition, and the extent of contiguous forest cover on the landscape [4,[16][17][18][19]. Prescribed fire is used as a management tool in northern forests to manage invasive plant species, restore forests to more historical structure or function [20,21], or to prepare seedbeds for forest regeneration [22,23], although competition control and slash reduction are the primary purposes of prescribed fire in this region [24].…”

Section: Percent Of Forest Areamentioning

confidence: 99%

Fire Effects on Soils in Lake States Forests: A Compilation of Published Research to Facilitate Long-Term Investigations

Miesel

Goebel

Corace

et al. 2012

Forests

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Fire-adapted forests of the Lake States region are poorly studied relative to those of the western and southeastern United States and our knowledge base of regional short-and long-term fire effects on soils is limited. We compiled and assessed the body of literature addressing fire effects on soils in Lake States forests to facilitate the re-measurement of previous studies for the development of new long-term datasets, and to identify existing gaps in the regional knowledge of fire effects on forest soils. Most studies reviewed addressed fire effects on chemical properties in pine-dominated forests, and long-term (>10 years) studies were limited. The major gaps in knowledge we identified include: (1) information on fire temperature and behavior information that would enhance OPEN ACCESSForests 2012, 3 1035 interpretation of fire effects; (2) underrepresentation of the variety of forest types in the Lake States region; (3) information on nutrient fluxes and ecosystem processes; and (4) fire effects on soil organisms. Resolving these knowledge gaps via future research will provide for a more comprehensive understanding of fire effects in Lake States forest soils. Advancing the understanding of fire effects on soil processes and patterns in Lake States forests is critical for designing regionally appropriate long-term forest planning and management activities.

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Computer visualization of pre-settlement and current forests in Wisconsin

Cited by 12 publications

References 28 publications

The visual exposure in forest and rural landscapes: An algorithm and a GIS tool

The visual exposure in forest and rural landscapes: An algorithm and a GIS tool

Research of Modern Information Technology on Tree Growth Management Decision Making Model

Fire Effects on Soils in Lake States Forests: A Compilation of Published Research to Facilitate Long-Term Investigations

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