Physical Habitat and Fish Assemblage Relationships with Landscape Variables at Multiple Spatial Scales in Wadeable Iowa Streams

Rowe, David C.; Pierce, Clay L.; Wilton, Thomas F.

doi:10.1577/m08-193.1

Cited by 31 publications

(26 citation statements)

References 44 publications

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“…Additionally, the modeling of species occurrences with large-scale habitat variables is economical because such variables are easily measured with a GIS, thereby reducing the need for costly field sampling (Oakes et al 2005;Steen et al 2008). However, in other regions, large-scale habitat variables such as land use may not effectively explain variation in fish assemblage structure (Rich et al 2003;Heitke et al 2006) or may only do so indirectly (Rowe et al 2009a).…”

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Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Sindt

Quist

Pierce

2012

N American J Fish Manag

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Fish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (κ = 0.59) were greatest for multiple-scale models (i.e., those including both largescale and small-scale variables), intermediate for small-scale models (CCR = 75%; κ = 0.49), and lowest for large-scale models (CCR = 73%; κ = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actions occur at the appropriate scale. RightsWorks produced by employees of the U.S. Government as part of their official duties are not copyrighted within the U.S. The content of this document is not copyrighted. AbstractFish and habitat data were collected from 84 wadeable stream reaches in the Mississippi River drainage of Iowa to predict the occurrences of seven fish species of greatest conservation need and to identify the relative importance of habitat variables measured at small (e.g., depth, velocity, and substrate) and large (e.g., stream order, elevation, and gradient) scales in terms of their influence on species occurrences. Multiple logistic regression analysis was used to predict fish species occurrences, starting with all possible combinations of variables (5 large-scale variables, 13 small-scale variables, and all 18 variables) but limiting the final models to a maximum of five variables. Akaike's information criterion was used to rank candidate models, weight model parameters, and calculate model-averaged predictions. On average, the correct classification rate (CCR = 80%) and Cohen's kappa (κ = 0.59) were greatest for multiple-scale models (i.e., those including both large-scale and small-scale variables), intermediate for small-scale models (CCR = 75%; κ = 0.49), and lowest for large-scale models (CCR = 73%; κ = 0.44). The occurrence of each species was associated with a unique combination of large-scale and small-scale variables. Our results support the necessity of understanding factors that constrain the distribution of fishes across spatial scales to ensure that management decisions and actio...

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Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Sindt

Quist

Pierce

2012

N American J Fish Manag

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“…Some of these environments are located within the protected forested areas making them inaccessible to humans. It has been observed that intact forest cover and undisturbed areas in the landscape surrounding streams are correlated with higher fish diversity (Rowe et al, 2009b); however, this generalization remains to be evaluated in karst environments.…”

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Habitat characteristics and environmental parameters influencing fish assemblages of karstic pools in southern Mexico

2013

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Fish assemblage structure was evaluated and compared among 36 karstic pools located within protected areas of the Calakmul Biosphere Reserve (southern Mexico) and unprotected adjacent areas beyond the Reserve. Nonmetric multidimensional scaling (MDS), indicator species analysis (ISA), and canonical correspondence analysis (CCA) were used to identify which environmental factors reflected local influences and to evaluate the correlation of these variables with fish assemblages structure. Thirty-one species were encountered in these karstic pools, some for the first time within the Reserve. These aquatic environments were separated into three groups based on physico-chemical characteristics. Although CCA identified significant associations between several fish species (based on their relative abundance) and environmental variables (K, NH4, NO3, and conductivity), the most abundant species (Astyanax aeneus, Poecilia mexicana, and Gambusia sexradiata) occur in most pools and under several environmental conditions. Baseline data on fish diversity along with a continued monitoring program are essential in order to evaluate the conservation status of fish assemblages and their habitats, as well as to measure the influence of anthropogenic impacts on pristine habitats such as the karstic pools of the Calakmul Biosphere Reserve.A estrutura da assembleia de peixes foi avaliada e comparada entre 36 poços cársticos localizados dentro de áreas protegidas da Reserva da Biosfera Calakmul (sul do México) e nas áreas desprotegidas adjacentes à Reserva. A análise multidimensional não-métrica (MDS), a análise da espécies indicadora (ISA) e a análise de correspondência canônica (CCA) foram utilizadas para identificar as variáveis ambientais localmente mais importantes e para avaliar a correlação destas com a estrutura das assembleias de peixes. Trinta e uma espécies foram amostradas nos poços cársticos, algumas das quais representam o primeiro registro para a Reserva. Os poços foram separados em três grupos de acordo com as suas características físico-químicas. Embora a CCA tenha possibilitado a identificação de associações significativas entre várias espécies (baseado na abundância relativa das espécies) e as variáveis ambientais (K, NH4, NO3 e condutividade), as espécies mais abundantes (Astyanax aeneus, Poecilia mexicana e Gambusia sexradiata) ocorreram na maioria dos poços em diferentes condições ambientais. A obtenção de dados de base sobre padrões de diversidade, associado a implantação de programas de monitoramento, são essenciais para a avaliação do estado de conservação das assembleias de peixes e seus habitats, assim como para proporcionar informações sobre a influência de impactos antropogênicos sobre habitats prístinos, tais como os poços cársticos da Reserva da Biosfera Calakmul.

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“…Row crop agriculture is associated with fine sediments and steep bank angles 351 Downloaded by [Michigan State University] (Rowe et al 2009a). In Midwestern agriculture-dominated watersheds, stream habitat is characterized by nonmeandering channels, eroding banks, fine substrates, and more homogenization of channel units (i.e., glides) (Rowe et al 2009b).…”

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Channel Unit Use by Smallmouth Bass: Do Land‐Use Constraints or Quantity of Habitat Matter?

Brewer

2013

N American J Fish Manag

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I examined how land use influenced the distribution of Smallmouth Bass Micropterus dolomieu in channel units (discrete morphological features—e.g., pools) of streams in the Midwestern USA. Stream segments (n = 36), from four clusters of different soil and runoff conditions, were identified that had the highest percent of forest (n = 12), pasture (n = 12), and urban land use (n = 12) within each cluster. Channel units within each stream were delineated and independently sampled once using multiple gears in summer 2006. Data were analyzed using a generalized linear mixed model procedure with a binomial distribution and odds ratio statistics. Land use and channel unit were strong predictors of age‐0, age‐1, and age‐>1 Smallmouth Bass presence. Each age‐class was more likely to be present in streams within watersheds dominated by forest land use than in those with pasture or urban land uses. The interaction between land use and channel unit was not significant in any of the models, indicating channel unit use by Smallmouth Bass did not depend on watershed land use. Each of the three age‐classes was more likely to use pools than other channel units. However, streams with high densities of Smallmouth Bass age >1 had lower proportions of pools suggesting a variety of channel units is important even though habitat needs exist at the channel‐unit scale. Management may benefit from future research addressing the significance of channel‐unit quality as a possible mechanism for how land use impacts Smallmouth Bass populations. Further, management efforts aimed at improving stream habitat would likely be more beneficial if focused at the stream segment or landscape scale, where a variety of quality habitats might be supported.Received September 10, 2012; accepted December 23, 2012

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Physical Habitat and Fish Assemblage Relationships with Landscape Variables at Multiple Spatial Scales in Wadeable Iowa Streams

Cited by 31 publications

References 44 publications

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Habitat Associations of Fish Species of Greatest Conservation Need at Multiple Spatial Scales in Wadeable Iowa Streams

Habitat characteristics and environmental parameters influencing fish assemblages of karstic pools in southern Mexico

Channel Unit Use by Smallmouth Bass: Do Land‐Use Constraints or Quantity of Habitat Matter?

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