Simulating and evaluating alternative resource-use strategies using GIS-based habitat suitability indices

Kliskey, Andrew; Lofroth, Eric C.; Thompson, W. A.; Brown, Sandra; Schreier, Hans

doi:10.1016/s0169-2046(99)00056-0

Cited by 56 publications

(30 citation statements)

References 38 publications

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“…These models have gained popularity because habitat descriptors can be derived from variables commonly available in forestry databases tor through modeling (for example, timber volume, forest age, dominant tree height, and species composition) [65][66][67][68]. When properly applied, they can also be used to predict the response of selected species to forest reclamation and to evaluate the efficacy of alternative practices [6,69,70].…”

Section: Discussionmentioning

confidence: 99%

Maintaining Ecosystem Function by Restoring Forest Biodiversity – Reviewing Decision-Support Tools that link Biology, Hydrology and Geochemistry

Lo¹,

Blanco²,

Welham³

et al. 2015

Biodiversity in Ecosystems - Linking Structure and Function

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Section: Discussionmentioning

confidence: 99%

Maintaining Ecosystem Function by Restoring Forest Biodiversity – Reviewing Decision-Support Tools that link Biology, Hydrology and Geochemistry

Lo¹,

Blanco²,

Welham³

et al. 2015

Biodiversity in Ecosystems - Linking Structure and Function

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“…In previous studies information on valuable habitats or other biodiversity indicators has been combined with simulation of forest stand data to assist in the evaluation of alternative management strategies in forest planning (e.g. Nalli et al 1996;Naesset 1997a;Öhman and Eriksson 1998;Carlsson 1999;Kliskey et al 1999;Kurttila et al 2002;Öhman and Eriksson 2002;Schwenk et al 2012). Forest management planning systems linking georeferenced forest stand data, projection models and an LP model are powerful tools allowing decision makers to explore trade-offs between multiple objectives and analyse the economic consequences of alternative developments (Carlsson 1999).…”

Section: Nfi and Forestry Scenario Modellingmentioning

confidence: 99%

Multi-source forest inventory data for forest production and utilization analyses at different levels

Haakana¹

2017

Diss. For.

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National forest inventory (NFI) data are commonly used in national and regional scenario analyses on forest production and utilization possibilities. There is an increased demand for similar analyses at the sub-regional level, and further, to incorporate spatially explicit data into the analyses. However, the fairly sparse network of NFI sample plots allows analyses only for large areas. The present dissertation explored whether satellite imagery, NFI sample plot data and the k nearest neighbour estimation method can be employed in generating spatial forest data for scenario analyses at the local level. The method was first applied in the area of two villages in Eastern Finland to quantify the effects of administrative land use and technical land-form constraints on timber production. Secondly, the impacts of three alternative regional felling strategies on suitable habitat for the Siberian flying squirrel (Pteromys volans) were assessed.As a scenario analysis tool, the Finnish forestry dynamics model MELA was used. Management units for simulations of forest development and management activities were delineated by means of image segmentation and digital maps on restriction areas, and new weights for NFI sample plots, that is, the representativeness in these units, were estimated by means of satellite image data. The performance of different segmentation methods and different spectral features in the estimation were examined. Image segments corresponding to forest stands enabled the use of patch-and landscape-level models in the prediction of suitable habitat.Satellite image-based estimation of new NFI sample plot weights was found to be a feasible method for generating forest data for scenario analyses in areas smaller than is possible with the plot data only, for example, for municipalities. Satellite imagery with large geographic coverage and continuous NFI field measurements provide cost-efficient data sources for versatile impact and scenario analyses at the local level.

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“…The HSI models were originally developed for manual calculation; however, the HSI models were then developed in a micro-computer software program. Presently investigators are attempting to verify models and extend the utility of the models (Clark 2001, Loukmas and Halbrook 2001, Baumeister 1999, Kliskey et al 1999, Roloff and Kernohan 1999, Gibbs 1997, Negri 1995. HSI models can be combined in multi-model investigations to examine a variety of proposed habitat management alternatives (Burley et al 1988 andWestman 1985).…”

Section: Habitat Modelsmentioning

confidence: 99%

Habitat Modeling: Spatial Landscape Assessment at the Rigden Mine, Colorado

Burley¹

2003

JASMR

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Abstract. Reclamation specialists are interested in assessing the landscape potential for many organisms through the use of wildlife habitat models to minimize the impacts of mining operations during the life of the mine. In this study, ten United States Fish and Wildlife Service habitat models (tree squirrels [Sciurus sp.] , were examined in a model validation experiment across ten cover types (76-100% canopy, 51-75% canopy, 26-50% canopy, grassland/urban savanna, exposed substrate, saplings, seedlings, shallow water/mudflats, water deeper than 2', and river) at the Rigden Mine near Fort Collins, Colorado for one year during 1989 through 1990. In addition, a second experiment tested for differences across the ten habitat models during carefully managed progressive mining operations by applying the predictive models for the management years 1975 (pre-mine), 1977, 1979, 1981, 1986, 1996, and 2036 (post-mining). The analysis revealed that the habitat scores significantly (p<0.05) predicted actual observed habitat use, but only explained 32 percent of the variance. There were no significant differences in the habitat quality across the pre-mine, mine operations, and post-mine landscapes. This study suggests that there is still much work to be conducted to refine predictive wildlife habitat models, but that there is great potential for mining operations to minimize the impacts to wildlife during the life of the mine.

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Simulating and evaluating alternative resource-use strategies using GIS-based habitat suitability indices

Cited by 56 publications

References 38 publications

Maintaining Ecosystem Function by Restoring Forest Biodiversity – Reviewing Decision-Support Tools that link Biology, Hydrology and Geochemistry

Maintaining Ecosystem Function by Restoring Forest Biodiversity – Reviewing Decision-Support Tools that link Biology, Hydrology and Geochemistry

Multi-source forest inventory data for forest production and utilization analyses at different levels

Habitat Modeling: Spatial Landscape Assessment at the Rigden Mine, Colorado

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