Evaluating habitat associations of a fish assemblage at multiple spatial scales in a minimally disturbed stream using low-cost remote sensing

2015 ◽  
Vol 26 (1) ◽  
pp. 20-34 ◽  
Author(s):  
Brandon D. Cheek ◽  
Timothy B. Grabowski ◽  
Preston T. Bean ◽  
Jillian R. Groeschel ◽  
Stephan J. Magnelia
Keyword(s):  
Remote Sensing ◽  
Fish Assemblage ◽  
Spatial Scales ◽  
Low Cost ◽  
Habitat Associations ◽  
Multiple Spatial Scales

Satellite-based monitoring of biodiversity

2019 ◽  
pp. 20-36
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Genetic Structure ◽  
Satellite Remote Sensing ◽  
Spatial Scales ◽  
Species Traits ◽  
Ecosystem Functions ◽  
Multiple Spatial Scales ◽  
Satellite Information ◽  
Monitoring Of Biodiversity ◽  
Composition Structure

This chapter explores how satellite information can help track biodiversity at multiple spatial scales and resolutions. To attempt to capture the various organisational dimensions of biodiversity, the chapter focuses on six classes of variables: genetic structure and composition, species populations, species traits, ecosystem extent and structure, ecosystem composition, and ecosystem functions. From helping map species and ecosystem distribution to supporting the monitoring of ecosystem composition, structure, and functioning, this contribution provides a series of examples that demonstrate how satellite remote sensing can open multiple opportunities for various stakeholders to improve on the management of wildlife. The chapter concludes with a discussion on limitations and possible ways forward.

Scrub–Shrub Bird Habitat Associations at Multiple Spatial Scales in Beaver Meadows in Massachusetts

The Auk ◽  
2009 ◽  
Vol 126 (1) ◽  
pp. 186-197 ◽  
Author(s):  
Richard B. Chandler ◽  
David I. King ◽  
Stephen Destefano
Keyword(s):  
Spatial Scales ◽  
Habitat Associations ◽  
Multiple Spatial Scales ◽  
Bird Habitat

scholarly journals Spatial, temporal and ontogenetic variation in the association of fishes (family Labridae) with rocky-reef habitats

2011 ◽  
Vol 62 (7) ◽  
pp. 870 ◽  
Author(s):  
Jason K. Morton ◽  
William Gladstone
Keyword(s):  
Fish Assemblages ◽  
Spatial Scales ◽  
Abundant Species ◽  
Habitat Associations ◽  
Rocky Reef ◽  
Habitat Variability ◽  
Life History Stages ◽  
Multiple Spatial Scales ◽  
Habitat Specialisation ◽  
Rocky Reefs

Habitat variability is an important factor structuring fish assemblages of rocky reefs in temperate Australia. Accepting the generality of this model requires that habitat-related variation is consistent through time, across multiple spatial scales, and applies to all life-history stages. We used repeated underwater visual surveys at multiple spatial scales over a 22-month period to test whether three distinct rocky-reef habitats had different wrasse assemblages and whether these assemblages were subject to spatial, temporal and ontogenetic variability. Overall, the strongest and most consistent habitat association was with sponge gardens, which had the most distinct assemblage, and the greatest species richness and density of individuals. Habitat associations in fringe and barrens were less consistent. A substantial increase in the abundance of small individuals, coinciding with warmer sea temperatures, contributed to temporal fluctuations in the density of wrasses. Overall, habitats were not strongly partitioned among larger individuals of the most abundant species, suggesting that adults are largely habitat generalists whereas small, recruiting individuals showed greater habitat specialisation. The present study emphasises the importance of incorporating spatial, temporal and ontogenetic variability into surveys of fish assemblages to understand more fully the dynamics of temperate rocky-reef systems.

scholarly journals Growth and Habitat Use of Guadalupe Bass in the South Llano River, Texas

2019 ◽  
Vol 11 (1) ◽  
pp. 33-45
Author(s):  
Jillian R. Groeschel-Taylor ◽  
Seiji Miyazono ◽  
Timothy B. Grabowski ◽  
Gary P. Garrett
Keyword(s):  
Flow Regime ◽  
Habitat Restoration ◽  
Aquatic Vegetation ◽  
Multiple Scales ◽  
Spatial Scales ◽  
Low Cost ◽  
Habitat Associations ◽  
Life History Stage ◽  
The South ◽  
Ecological Requirements

Abstract Predicting how stream fishes may respond to habitat restoration efforts is difficult, in part because of an incomplete understanding of how basic biological parameters such as growth and ontogenetic habitat shifts interact with flow regime and riverscape ecology. We assessed age-specific Guadalupe Bass Micropterus treculii habitat associations at three different spatial scales in the South Llano River, a spring-fed stream on the Edwards Plateau of central Texas, and the influence of habitat and flow regime on growth. We classified substrates using a low-cost side-scan sonar system. We used scale microstructure to determine age and to back-calculate size at age. Over 65% of captured Guadalupe Bass were age 2 or age 3, but individuals ranged from 0 to 7 y of age. Habitat associations overlapped considerably among age classes 1–3+, but age-0 Guadalupe Bass tended to associate with greater proportions of pool and run mesohabitats with submerged aquatic vegetation. Although habitat metrics across multiple scales did not have a large effect on growth, river discharge was negatively correlated with growth rates. Understanding age-specific Guadalupe Bass habitat associations at multiple scales will increase the effectiveness of restoration efforts directed at the species by assisting in determining appropriate ecological requirements of each life-history stage and spatial scales for conservation actions.

Deriving and validating Leaf Area Index (LAI) at multiple spatial scales through lidar remote sensing: A case study in Sierra National Forest, CA

2014 ◽  
Vol 143 ◽  
pp. 131-141 ◽  
Author(s):  
Hao Tang ◽  
Matthew Brolly ◽  
Feng Zhao ◽  
Alan H. Strahler ◽  
Crystal L. Schaaf ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Leaf Area Index ◽  
Leaf Area ◽  
Spatial Scales ◽  
National Forest ◽  
Area Index ◽  
Multiple Spatial Scales

scholarly journals A Variance-decomposition Approach to Investigating Multiscale Habitat Associations

The Condor ◽  
2006 ◽  
Vol 108 (1) ◽  
pp. 47-58 ◽  
Author(s):  
Joshua J. Lawler ◽  
Thomas C. Edwards
Keyword(s):  
Spatial Scale ◽  
Spatial Scales ◽  
Analytical Techniques ◽  
Variance Decomposition ◽  
Relative Strength ◽  
Habitat Associations ◽  
Alternative Methods ◽  
Decomposition Approach ◽  
Analytical Technique ◽  
Multiple Spatial Scales

Abstract The recognition of the importance of spatial scale in ecology has led many researchers to take multiscale approaches to studying habitat associations. However, few of the studies that investigate habitat associations at multiple spatial scales have considered the potential effects of cross-scale correlations in measured habitat variables. When cross-scale correlations in such studies are strong, conclusions drawn about the relative strength of habitat associations at different spatial scales may be inaccurate. Here we adapt and demonstrate an analytical technique based on variance decomposition for quantifying the influence of cross-scale correlations on multiscale habitat associations. We used the technique to quantify the variation in nest-site locations of Red-naped Sapsuckers (Sphyrapicus nuchalis) and Northern Flickers (Colaptes auratus) associated with habitat descriptors at three spatial scales. We demonstrate how the method can be used to identify components of variation that are associated only with factors at a single spatial scale as well as shared components of variation that represent cross-scale correlations. Despite the fact that no explanatory variables in our models were highly correlated (r < 0.60), we found that shared components of variation reflecting cross-scale correlations accounted for roughly half of the deviance explained by the models. These results highlight the importance of both conducting habitat analyses at multiple spatial scales and of quantifying the effects of cross-scale correlations in such analyses. Given the limits of conventional analytical techniques, we recommend alternative methods, such as the variance-decomposition technique demonstrated here, for analyzing habitat associations at multiple spatial scales.

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