9781480163607 - using forest inventory and analysis data and the forest vegetation simulator to predict and monitor fisher (martes pennanti) resting habitat suitability de zielinski, william j.; gray, andrew n.; dunk, jeffrey r.; sherlock, joseph w.; dixon, gary e. (3 resultados)
Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher (Martes pennanti) Resting Habitat Suitability
Zielinski, William J.; Gray, Andrew N.; Dunk, Jeffrey R.; Sherlock, Joseph W.; Dixon, Gary E.
Idioma: Inglés
Editorial: CreateSpace Independent Publishing Platform, 2012
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 18,05
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Condición: New. Print on Demand.
Idioma: Inglés
Editorial: Createspace Independent Publishing Platform, 2012
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
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EUR 20,73
Envío por EUR 14,39Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Idioma: Inglés
Editorial: Createspace Independent Publishing Platform, 2012
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 24,23
Envío por EUR 43,53Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. New knowledge from wildlife-habitat relationship models is often difficult to implement in a management context. This can occur because researchers do not always consider whether managers have access to information about environmental covariates that permit the models to be applied. Moreover…, ecosystem management requires knowledge about the condition of habits over large geographic regions, whereas most research projects have limited spatial inference. For example, research has revealed much about the habitat of fishers (Martes pennanti) at various research sites in California, yet this work has not been translated into practical tools that managers can use to monitor fisher habitat regionally, or to evaluate and mitigate the effects of proposed forest management on fisher habitat. This led us to create new habitat models that are intimately linked to agency approaches to forest monitoring and software tools used by forest managers to plan timber harvests and vegetation management. We created habitat models that were integrated with these approaches and tools that forest managers use for two purposes: to inventory forest resources (i.e. Forest Inventory and Analysis [FIA] plots) and to simulate the response to stands to harvest, fire, insects, disease, and other disturbances (i.e., Forest Vegetation Simulator [FVS]). In this paper we provide an example of how to assess and monitor wildlife habitat using FIA vegetation monitoring protocols. We also provide an example of how to integrate an existing FIA-based model of fisher resting habitat into FVS, software that simulates the effect of alternative silvicultural treatments on vegetation data collected from field plots. Using these tools we produce quantitative predictions of the status of resting habitat quality for fishers, and describe how it can be monitored over time. We also provide an example of the effect of vegetation treatments on predicted fisher resting habitat, which illustrates a process that can be used to understand, reduce, or mitigate the effects of these activities on fisher habitat. This work on the fisher provides one example of how habitat assessments for wildlife could be advanced if they were developed with management applicability and implementation success as a goal. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
