Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher (Martes Pennanti) Resting Habitat Suitability

Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher (Martes Pennanti) Resting Habitat Suitability
Author:
Publisher:
Total Pages: 40
Release: 2010
Genre: Fisher (Mammal)
ISBN:

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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 habitats 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 of 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.

Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher (Martes Pennanti) Resting Habitat Suitability

Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher (Martes Pennanti) Resting Habitat Suitability
Author: William Zielinski
Publisher: CreateSpace
Total Pages: 38
Release: 2012-10-22
Genre:
ISBN: 9781480163607

Download Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher (Martes Pennanti) Resting Habitat Suitability Book in PDF, Epub and Kindle

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.

Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher( Martes Pennanti) Resting Habitat Suitability

Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher( Martes Pennanti) Resting Habitat Suitability
Author: Zielinski
Publisher: CreateSpace
Total Pages: 36
Release: 2015-02-14
Genre:
ISBN: 9781506197449

Download Using Forest Inventory and Analysis Data and the Forest Vegetation Simulator to Predict and Monitor Fisher( Martes Pennanti) Resting Habitat Suitability Book in PDF, Epub and Kindle

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 habitats over large geographic regions.

Habitat Suitability Index Models

Habitat Suitability Index Models
Author: Arthur W. Allen
Publisher:
Total Pages: 32
Release: 1983
Genre: Fisher (Mammal)
ISBN:

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Predicting the Distribution of the Fisher (Martes Pennanti) in Northwestern California, U.S.A.

Predicting the Distribution of the Fisher (Martes Pennanti) in Northwestern California, U.S.A.
Author: Carlos Carroll
Publisher:
Total Pages: 324
Release: 1997
Genre: Fisher (Mammal)
ISBN:

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Forest carnivores such as the fisher have frequently been the target of conservation concern due to their association with older forests and assumed sensitivity to landscape-level habitat alteration. Although the fisher has been extirpated from most of its former range in the western U.S., it is still found throughout much of northwestern California. However, fisher distribution is still poorly known in the majority of this region where surveys have not been conducted. In order to predict fisher distribution across the region, a multiple logistic regression model was created using data from 682 previously surveyed locations and a GIS vegetation coverage created from satellite imagery. A moving-average function was used to derive landscape level indices of vegetation variables from the GIS layer. Moving averages of canopy closure, tree size class, and percent conifer were found to have strong correlations with fisher presence. Regional gradients as represented by either precipitation or a trend surface derived from spatial coordinates were also significant predictors in the model. The model was validated with new data collected from 240 survey locations and proved to be accurate in predicting fisher presence in unsurveyed areas. The model was used to generate hypotheses as to the mechanisms controlling habitat selection and the scales at which these operate and to evaluate the representation of fisher habitat in existing protected areas. These insights may be valuable in designing conservation reserve networks that insure the long-term viability of forest carnivore populations.

The Enhanced Forest Inventory and Analysis Program--national Sampling Design and Estimation Procedures

The Enhanced Forest Inventory and Analysis Program--national Sampling Design and Estimation Procedures
Author:
Publisher:
Total Pages: 96
Release: 2005
Genre: Forest health
ISBN:

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The Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture, Forest Service is in the process of moving from a system of quasi-independent, regional, periodic inventories to an enhanced program featuring greater national consistency, a complete and annual sample of each State, new reporting requirements, and integration with the ground sampling component of the Forest Health Monitoring Program. This documentation presents an overview of the conceptual design, describes the sampling frame and plot configuration, presents the estimators that form the basis of FIA's National Information Management System (NIMS), and shows how annual data are combined for analysis. It also references a number of Web-based supplementary documents that provide greater detail about some of the more obscure aspects of the sampling and estimation system, as well as examples of calculations for most of the common estimators produced by FIA.