Integrating Citizen Science and GIS for Wildlife Habitat Assessment

Mismatched spatial scales can limit the utility of citizen science data for estimating wildlife‐habitat relationships

Ecological Research ◽

10.1111/1440-1703.12173 ◽

2020 ◽

Author(s):

Javan M. Bauder ◽

Alyson M. Cervantes ◽

Alexandra C. Avrin ◽

Laura S. Whipple ◽

Morgan J. Farmer ◽

...

Keyword(s):

Citizen Science ◽

Spatial Scales ◽

Wildlife Habitat ◽

Science Data

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Remote sensing and forest inventory for wildlife habitat assessment

Forest Ecology and Management ◽

10.1016/j.foreco.2009.03.005 ◽

2009 ◽

Vol 257 (11) ◽

pp. 2262-2269 ◽

Cited By ~ 54

Author(s):

G.J. McDermid ◽

R.J. Hall ◽

G.A. Sanchez-Azofeifa ◽

S.E. Franklin ◽

G.B. Stenhouse ◽

...

Keyword(s):

Remote Sensing ◽

Forest Inventory ◽

Wildlife Habitat ◽

Habitat Assessment

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A Decision Support System for Incorporating Wildlife Habitat Quality into Forest Planning

Western Journal of Applied Forestry ◽

10.1093/wjaf/14.2.91 ◽

1999 ◽

Vol 14 (2) ◽

pp. 91-99 ◽

Cited By ~ 3

Author(s):

Gary J. Roloff ◽

Bruce Carroll ◽

Steve Scharosch

Keyword(s):

Decision Support ◽

Decision Support System ◽

Habitat Quality ◽

Support System ◽

Wildlife Habitat ◽

Forest Planning ◽

Assessment Procedure ◽

Planning Model ◽

Habitat Assessment ◽

Structural Habitat

Abstract We developed a decision support system to address wildlife habitat quality in the strategic forest planning process. The process involves projecting wildlife habitat attributes using a growth and yield model, combining the attributes into an index of structural habitat quality, generating yield tables of structural habitat quality that can be constrained or optimized in the forest planning model, and relating prescriptions for each forest planning analysis area back to the habitat attributes. The result is a map of habitat components. This mechanism is considered the first step in our wildlife habitat assessment procedure in that it focuses on within-stand or within-analysis area structures. Since many wildlife species depend on multiple stands or analysis areas and the spatial arrangement of habitat components to meet their life requisites, the second step in our habitat assessment procedure is to apply spatially explicit wildlife habitat models to the mapped planning solution. The decision support system offers the capability to evaluate the effects of alternative management strategies on wildlife habitat in the context of a forest planning model solution. West. J. Appl. For 14(2):91-99.

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Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment

Environmental Monitoring and Assessment ◽

10.1007/s10661-010-1768-x ◽

2010 ◽

Vol 180 (1-4) ◽

pp. 1-13 ◽

Cited By ~ 38

Author(s):

Christopher W. Bater ◽

Nicholas C. Coops ◽

Michael A. Wulder ◽

Thomas Hilker ◽

Scott E. Nielsen ◽

...

Keyword(s):

Time Lapse ◽

Wildlife Habitat ◽

Habitat Assessment ◽

Species Specific ◽

Digital Time

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Mapping forest stand complexity for woodland caribou habitat assessment using multispectral airborne imagery

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprsarchives-xl-2-179-2014 ◽

2014 ◽

Vol XL-2 ◽

pp. 179-185 ◽

Cited By ~ 1

Author(s):

W. Zhang ◽

B. Hu ◽

M. Woods

Keyword(s):

Spatial Resolution ◽

Wildlife Habitat ◽

Image Texture ◽

Lidar Data ◽

Structural Development ◽

Habitat Assessment ◽

Woodland Caribou ◽

Forest Canopies ◽

Image Texture Analysis ◽

Very High

The decline of the woodland caribou population is a result of their habitat loss. To conserve the habitat of the woodland caribou and protect it from extinction, it is critical to accurately characterize and monitor its habitat. Conventionally, products derived from low to medium spatial resolution remote sensing data, such as land cover classification and vegetation indices are used for wildlife habitat assessment. These products fail to provide information on the structure complexities of forest canopies which reflect important characteristics of caribou’s habitats. Recent studies have employed the LiDAR system (Light Detection And Ranging) to directly retrieve the three dimensional forest attributes. Although promising results have been achieved, the acquisition cost of LiDAR data is very high. In this study, utilizing the very high spatial resolution imagery in characterizing the structural development the of forest canopies was exploited. A stand based image texture analysis was performed to predict forest succession stages. The results were demonstrated to be consistent with those derived from LiDAR data.

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