Spatial Structuring of Benthic Invertebrate Communities Within and Among Wooded Headwater Stream Networks

Spatial Structuring of Benthic Invertebrate Communities Within and Among Wooded Headwater Stream Networks
Author: Sara Elizabeth Wright
Publisher:
Total Pages: 254
Release: 2011
Genre: Benthos
ISBN:

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Biotic communities in low order streams are influenced by multiple factors that may reflect both environmental conditions within individual watersheds, and also bio-geographic considerations such as spatial proximity of streams and organism dispersal/recruitment abilities. Prior work in small streams of Western New York (Allegheny Plateau) revealed little or no spatial structuring of biota among separate steams, but instead convincing effects of stream and watershed environmental factors. In this study, we further explored the roles of spatial vs. environmental influences by now comparing 1st - 3rd-order streams longitudinally within a stream network in addition to comparing physically separated streams. Within-stream drift adds a new dispersal dimension that is not present between streams. Four stream networks, each with a consecutive series of a 1st, a 2nd, and a 3rd order segment, were selected in a contiguously wooded sector (2nd growth through moderately disturbed old growth northern hardwoods) of Allegheny State Park near the Pennsylvania border. Three replicate Surber samples and a qualitative sample were collected from each stream site in fall 2010 and spring 2011. Similarity/dissimilarity among streams was explored by Euclidean distance matrices for community composition, stream/watershed environmental characteristics (in-stream habitat, watershed land cover, etc.), and spatial distance. Non-metric multidimensional scaling ordination of community composition and Principal Components Analysis ordination of environmental variables of the twelve stream segments were employed. Community composition of in-stream biota was based on the identification of 117 taxa representing fifty-three families. Spearman rank correlation indicated ten out of twelve of most abundant taxa were associated with the larger streams, trending away from the first orders. A One-Factor ANOVA of site-to-site biotic distances revealed no significant differences among longitudinal within stream pairings, like order pairings, and all possible remaining pairs. The streams in this study were quite readily grouped by ordination of the environmental variables, but this did not generally translate to biotic structuring. A significant partial correlation was, however, found between distances based on environmental "channel only" variables (i.e. not including watershed geography) and based on the biota within stream orders, when controlling for spatial distances. There was no evidence of spatial structuring of benthic communities. The macroinvertebrate community composition appeared to comply somewhat with the niche-based sorting theory and decidedly not with neutral theory/spatial autocorrelation. Continuing to decipher the dynamics of macroinvertebrate community composition can prove valuable to conservation and restoration approaches.

Patterns and Determinants of Macroinvertebrate Diversity in Headwater Stream Networks

Patterns and Determinants of Macroinvertebrate Diversity in Headwater Stream Networks
Author: Amber Clarke
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

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Headwater streams dominate stream channel length in catchments. They are important sources of water, sediment and biota for downstream reaches and critical sites for organic matter and nutrient processing. Aquatic biodiversity in headwater streams has been overlooked in comparison to higher-order rivers, and few studies have considered spatial biodiversity patterns in headwater streams, or streams in general. I reviewed studies of macroinvertebrate diversity in headwater streams and found equivocal evidence to support the view that headwater streams harbour high biodiversity. Headwater streams might still make an important contribution to [gamma] (regional) diversity at the landscape (catchment) scale by virtue of high [beta] (among-assemblage) diversity. I studied eight headwater streams from three forested, upland catchments along the Great Dividing Range, Victoria, Australia to test my hypothesis of high [beta] diversity and to understand the spatial patterns and determinants of macroinvertebrate diversity in headwater stream networks.Diversity partitioning showed that reaches each had high [alpha] (within-assemblage) diversity, while [beta] diversity made only a small contribution to [gamma] diversity at both the reach and catchment scales. [beta] diversity may have been lower than hypothesized due to relatively small distances between sites and high levels of dispersal among reaches and catchments in the study area. Contrary to other studies that have found environmental factors to be important for explaining variation in macroinvertebrate assemblage structure in headwater streams, I found a limited role for environmental factors structuring macroinvertebrate assemblages in the study area.In one year (2008), spatial factors (independent of environmental factors) were the dominant factor structuring macroinvertebrate assemblages. Therefore, metacommunity structure in the study area aligns most closely with the neutral/patch dynamic metacommunity model. This pattern of spatial structuring, coupled with low [beta] diversity, suggests that high neighbourhood dispersal might be the main factor structuring macroinvertebrate assemblages in the study area. Flow permanence had only a seasonal effect on macroinvertebrate diversity and so there is a temporal component to the spatial diversity patterns in this system.The explicit recognition of stream ecosystems as spatially structured networks has increased our understanding of ecological patterns and processes, and provided the impetus for this research. Recent advances in the study of networks, particularly in the fields of physics and network theory, offer an opportunity to considerably extend the current application of the network concept in stream ecology.Determining the relative contributions of [alpha] and [beta] diversity to [gamma] diversity, and the scale dependence of [alpha] and [beta] components, provides vital information for conservation planning because optimal reserve designs will differ depending on the relative contributions of [alpha] and [beta] diversity. My finding of high [alpha] and low [beta] diversity indicates that each stream in the study area can be considered to have low irreplaceability and the capacity to contribute a large portion of species to regional conservation targets.Information on spatial patterns of diversity is urgently required for systematic conservation planning for freshwater reserves if we are to halt the rapid decline in global freshwater biodiversity.

Macroinvertebrate Community Composition in Stream Networks Across Three Land Cover Types

Macroinvertebrate Community Composition in Stream Networks Across Three Land Cover Types
Author: Raj Kiran Parmar
Publisher:
Total Pages: 124
Release: 2018
Genre: Aquatic invertebrates
ISBN:

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Land cover change strongly affects biodiversity in stream ecosystems, with several studies demonstrating the negative impacts of agricultural and urban expansion on local community richness. However, little is known of the effects of land cover on the variation among sets of local communities in stream networks, as well as the drivers of community variation in these systems. Using the metacommunity framework, this study takes a multi-scale approach to understand how macroinvertebrate communities are assembled across three catchment land cover types; native forest, agricultural and urban. Specifically, the aims of this study are to assess; (1) how stream network land cover influences alpha and beta diversity of macroinvertebrate communities and, (2) the relative role of local environmental conditions and spatial dispersal variables in structuring these communities. Benthic macroinvertebrate samples and local in-stream and riparian environmental variables were collected at 20 sampling sites in each of the six study stream networks in Auckland. Spatial distance proxies of macroinvertebrate dispersal in stream networks were calculated using geospatial techniques. Community alpha and beta diversity, environmental and distance variables were analysed using multivariate statistical techniques. Comparisons showed reference forest and impacted (agricultural and urban) networks supported distinct communities, with lower alpha diversity in the impacted stream networks. Unexpectedly, beta diversity in the impacted networks was greater than, or equal to the reference stream networks, with community dissimilarity almost entirely driven by species turnover. Overall, irrespective of land cover, macroinvertebrate communities were largely structured by local environmental conditions. Benthic substrate and the presence and composition of riparian vegetation were the most significant local environmental variables influencing community composition. Spatial dispersal limitation variables had a small, but significant, effect on inter-site community dissimilarity and overall community structure in each catchment. Network distance between local communities explained the greatest variation in community dissimilarity of the three distance types. This study identified potential drivers of macroinvertebrate community variation in Auckland streams, specifically highlighting the relative role of local environmental and spatial dispersal processes. The results of this study have relevance for biomonitoring and state of environment reporting of Auckland’s freshwater systems, as well as future stream rehabilitation projects.

The Influence of Network Structure, Habitat Fragmentation, and Faunal Sources on Aquatic Communities in Headwater Streams

The Influence of Network Structure, Habitat Fragmentation, and Faunal Sources on Aquatic Communities in Headwater Streams
Author: Sean D. Sipple
Publisher:
Total Pages: 213
Release: 2017
Genre:
ISBN:

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Headwater streams comprise the majority of the stream network, providing important ecological functions to the downstream network. Although we are beginning to understand how network structure may influence fish, our understanding of how it influences benthic macroinvertebrate dispersal and population connectivity is limited. We also know little about how these patterns and processes may be disrupted as a result of human-driven landscape change such as stream barriers to movement and creation of artificial habitats such as stormwater and farm ponds. In this study, I investigated the effect of stream network position, stream size, and local habitat on benthic macroinvertebrates, and determined to what degree road crossings and impoundments may be degrading benthic macroinvertebrate and fish communities in headwater streams. These mechanisms were explored using Maryland Department of Natural Resources, (MDNR) Maryland Biological Stream Survey (MBSS) benthic macroinvertebrate, fish, and environmental data from first-order streams in the Piedmont region of Maryland. Using an Information Theoretic Approach (ITA), models were developed based on the hypothesized relationships between benthic macroinvertebrate and fish community structure and several network and anthropogenic impact variables. Based on my results, aquatic community structure was dependent on local habitat conditions and stream network structure. Both assemblages responded negatively to roads, which may suggest an isolation effect. These results also suggest that impoundments are acting as sources for benthic macroinvertebrates and fish, including non-native species.

The Biology of Streams and Rivers

The Biology of Streams and Rivers
Author: Paul S. Giller
Publisher: Oxford University Press
Total Pages: 308
Release: 1998-11-26
Genre: Nature
ISBN: 9780198549772

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The aim of this book is to provide an accessible, up-to-date introduction to stream and river biology. Beginning with the physical features that define running water habitats, the book goes on to look at these organisms and their ecology.

Effects of Agricultural Conservation Practices on Fish and Wildlife

Effects of Agricultural Conservation Practices on Fish and Wildlife
Author:
Publisher:
Total Pages: 380
Release: 2008
Genre: Agricultural conservation
ISBN:

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"The bibliography is a guide to recent scientific literature covering effects of agricultural conservation practices on fish and wildlife. The citations listed here provide information on how conservation programs and practices designed to improve fish and wildlife habitat, as well as those intended for other purposes (e.g., water quality improvement), affect various aquatic and terrestrial fauna"--Abstract.

Headwater Stream Invertebrate Communities

Headwater Stream Invertebrate Communities
Author: Robert Bruce Medhurst
Publisher:
Total Pages: 188
Release: 2007
Genre: Freshwater invertebrates
ISBN:

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"Monitoring stream condition is not always conducted with understanding how climate may influence anthropogenic disturbances. Stream monitoring has traditionally been accomplished through sampling benthic invertebrates, while sampling drifting invertebrates as a potential monitoring tool has received little attention, in spite of drift often being easier and less expensive to sample. The objectives of this study were to understand how logging influences headwater stream invertebrate communities (benthic and drift) across two ecoregions in the Cascade Range, central Washington, and to determine whether drift samples might serve as a replacement for benthic samples in assessing headwater stream condition. Benthic and drifting invertebrates were sampled from 24 headwater streams in logged and unlogged watersheds within two ecoregions (wet and dry), and community metrics contrasted. Invertebrate community responses to logging varied with ecoregion (e.g., higher shredder densities in logged watersheds of wet ecoregion only). Differences in benthic community structure were not reflected in the drift, and relationships between benthos and drift were highly variable. Although both sampling types (benthic, drift) revealed ecoregional and land-use (logging) differences in invertebrate communities, lack of consistent relationships between the sampling types suggests drift sampling does not provide more reliable information about stream benthos or headwater stream condition"--Leaf iii.

Long-term Spatial and Temporal Variability of Benthic Macroinvertebrate Communities

Long-term Spatial and Temporal Variability of Benthic Macroinvertebrate Communities
Author: Eve Elizabeth O'Connor
Publisher:
Total Pages:
Release: 2010
Genre:
ISBN:

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The structure and composition of benthic macroinvertebrate communities can vary spatially and over time. Spatial and temporal variation along a stream has many implications for population and community dynamics, which may influence bioassessment programs. I examined variability in the benthic community of eight streams within the Polecat Creek, Virginia watershed. These streams vary in size from 1st to 4th order. The streams were sampled once every season for eleven years using standard bioassessment protocols. Macroinvertebrates were sampled from both sediment and submerged wood habitats at each site. The coefficient of variation (CV) was used to quantify among season, among year and among site variability of eight community metrics from both the sediment and wood samples. ANOVAs were calculated using Tukey post-hoc test to determine if there were statistically significant differences in taxonomic richness and mean CV values across seasons, years and sites for both sediment and wood samples. Sorenson's Quotient of Similarity was used to examine the extent of differences in the taxonomic composition of the macroinvertebrate communities among the four seasons over the 11 years of the study and among the 8 sampling sites. A high amount of variability was observed among seasons, sites and years. A wide range of CV values was observed among community metrics, with certain metrics exhibiting low overall mean CV values and others exhibiting very high overall mean CV values. It is important to understand the temporal and spatial variability of macroinvertebrates when planning biomonitoring programs.