Responsiveness of Great Lakes Wetland Indicators to Human Disturbances at Multiple Spatial Scales: A Multi-Assemblage Assessment

Brazner, John C.; Danz, Nicolas P.; Trebitz, Anett S.; Niemi, Gerald J.; Regal, Ronald R.; Hollenhorst, Tom; Host, George E; Reavie, Euan D.; Brown, Terry N.; Hanowski, Jo Ann M.; Johnston, Carol A.; Johnson, Lucinda B.; Howe, Robert W.; Ciborowski, Jan J. H.

doi:10.3394/0380-1330(2007)33[42:roglwi]2.0.co;2

Cited by 58 publications

(46 citation statements)

References 4 publications

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“…It also illustrates that very little of the variance in IBI scores can be explained by location independently of land cover Landscape Ecol introduce remarkably little error. The success of our land cover-based models supports previous studies suggesting that bird and vegetation communities are related to land cover variables, even over large spatial extents (e.g., Fairbairn and Dinsmore 2001;Brazner et al 2007;Luoto et al 2007). The relationship between biotic integrity and land cover is likely the result of multiple processes.…”

Section: Discussionsupporting

confidence: 70%

“…The importance of spatial extent has been noted before (e.g., Turner et al 1989;Wu 2004;Houlahan et al 2006;Brazner et al 2007), yet previous efforts to develop GIS-based assessment tools typically test only a single spatial extent and rarely provide a biological rationale for its selection. In stream or riverine wetland studies, land cover data is often extracted from within the watershed (e.g., Miller et al 1997;Falcone et al 2010) or at the scale of ridge tops and valleys (Wardrop et al 2007), but in small depressional wetlands with complex surface-groundwater interactions, topography is not necessarily the appropriate basis on which to make decisions about landscape extent (Devito et al 2005).…”

Section: Spatial Extent Influences Relationship Between Land Cover Anmentioning

confidence: 99%

“…Issues of landscape extent have long been acknowledged in the field of landscape ecology (e.g., Turner et al 1989;Wu 2004;Buyantuyev and Wu 2007), yet rarely do studies that propose methods of assessing wetlands using remotely sensed data articulate the issue of optimizing landscape extent for the taxon or assemblage of interest. The need to optimize landscape extent for the taxon of interest has been acknowledged in work on lacustrine wetlands (e.g., Brazner et al 2007), but, to the best of our knowledge, not in the shallow open-water wetlands characteristic of much of central North America. Thus, our primary goal was to articulate the importance of optimizing landscape extent to the successful use of remotely sensed data in regional wetland assessments.…”

Section: Introductionmentioning

confidence: 99%

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The accuracy of land cover-based wetland assessments is influenced by landscape extent

et al. 2012

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Widespread degradation of wetlands has motivated the development of tools to evaluate wetland condition. The application of field-based tools over large regions can be prohibitively expensive; however, land cover data may provide a surrogate for intensive assessments, enabling rapid and cost-effective evaluation of wetlands throughout whole regions. Our goal was to determine if land cover data could be used to estimate the biotic integrity of wetlands in Alberta's Beaverhills watershed. Biotic integrity was measured using both plant-and bird-based indices of biotic integrity (IBIs) in 45 wetlands. Land cover data were extracted from seven nested landscape extents (100-3,000 m radii) and used to model IBI scores. Strong, significant predictions of IBI scores were achieved using land cover data from every spatial extent, even after factoring out the influence of location to address the spatial autocorrelation of land cover classes. Plant-based IBI scores were best predicted using data from 100 m buffers and birdbased IBI scores were best predicted using data extracted from 500 m buffers. Road cover or density and measures of the proportion of disturbed land were consistent predictors of IBI score, suggesting their universal importance to plant and bird communities. Simplified models using the proportion of undisturbed land were less accurate than more detailed models (reductions in r 2 of 0.31-0.32). Regardless of the level of detail in land cover classification, our results emphasize the need to optimize landscape extent for the taxonomic group of interest: an issue that is typically poorly articulated in studies reporting on the development of GIS-based assessment methods. Our results also highlight the need to calibrate models in test areas before scaling up, to ensure predictive accuracy.

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Section: Discussionsupporting

confidence: 70%

Section: Spatial Extent Influences Relationship Between Land Cover Anmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The accuracy of land cover-based wetland assessments is influenced by landscape extent

et al. 2012

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“…Across the Great Lakes basin, bluegill (Lepomis macrochirus) and carp (Cyprinus carpio)+goldfish (Carassius auratus) were found to be consistent indicators of disturbance, while rock bass (Ambloplites rupestris) were found to be associated with less disturbance (Brazner et al 2007a(Brazner et al , 2007b. Two community metrics, the proportion of turbidityintolerant fish species and the proportion of nestguarding species, also were found to be associated with relatively low amounts of disturbance (Brazner et al, 2007a).…”

Section: Fish and Invertebratesmentioning

confidence: 84%

Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron

Niemi

Brady

Brown

et al. 2009

Aquatic Ecosystem Health &Amp; Management

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Brady, Valerie J.; Brown, Terry N.; Ciborowski, Jan J.H.; Danz, Nicholas P.; Ghioca, Dana M.; Hanowski, JoAnn M.; Hollenhorst, Tom P.; Howe, Robert W.; Johnson., Lucinda B.; Johnston, Carol A.; and Reavie, Euan D., "Development of ecological indicators for the U.S. Great Lakes coastal region -A summary of applications in Lake Huron" (2009 Niemi et al. / Aquatic Ecosystem Health and Management 12 (2009) [77][78][79][80][81][82][83][84][85][86][87][88][89] useful indicators of the ecological condition of the Lake Huron coast. The ecological indicators provide a baseline on selected conditions for the U.S. Lake Huron coastal region and a means to detect change over time.

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“…Disturbance factor not only includes a variety of local natural factors, but also is an artifi cial factor for a small range of human activities [22]. Therefore, the landscape will generate disturbance patches and land use cover change is displayed in the remote sensing images after the disturbance.…”

Section: Landscape Ecological Stability Analysismentioning

confidence: 99%

Comprehensive Landscape Ecology Stability Assessment of a Coal Gangue Backfill Reclamation Area

Liu¹,

Liu²,

Zhang³

et al. 2016

Pol. J. Environ. Stud.

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Responsiveness of Great Lakes Wetland Indicators to Human Disturbances at Multiple Spatial Scales: A Multi-Assemblage Assessment

Cited by 58 publications

References 4 publications

The accuracy of land cover-based wetland assessments is influenced by landscape extent

The accuracy of land cover-based wetland assessments is influenced by landscape extent

Development of ecological indicators for the U.S. Great Lakes coastal region – A summary of applications in Lake Huron

Comprehensive Landscape Ecology Stability Assessment of a Coal Gangue Backfill Reclamation Area

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