Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses

Zuellig, Robert E.; Schmidt, Travis S.

doi:10.1899/11-150.1

Cited by 28 publications

(22 citation statements)

References 37 publications

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“…These flow-ecology relationships reflect a kind of "evolutionary" time scale, that is, the temporal pattern of flow variation that establishes the template on which some adaptations of species have been set (Lytle & Poff, 2004;Poff et al, 1997); this evolutionary history perspective provides theoretical expectations likely species' responses to particular kinds of flow alterations. Regime-based metrics also inform us about what type of general ecological patterns we should expect through species sorting, that is, particular patterns of flow variation act as a "filter" to favour species having attributes that match the temporal dynamics of that habitat, and disfavour those that do not, as has been shown for riparian vegetation (Merritt, Scott, Poff, Auble, & Lytle, 2010), fish (Mims & Olden, 2012;Poff & Allan, 1995) and invertebrates (Chadd et al, 2017;Kakouei, Kiese, Kails, Pusch, & J€ anig, 2017;Monk et al, 2006;Zuellig & Schmidt, 2012).…”

Section: Shifting From Static To Dynamic Modellingmentioning

confidence: 99%

Beyond the natural flow regime? Broadening the hydro‐ecological foundation to meet environmental flows challenges in a non‐stationary world

2017

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The natural flow regime concept has contributed significantly to environmental flows (e‐flows) science and applications over the last 20 years. Natural flow regimes reflect long‐term, historical patterns of flow variability that have shaped riverine species’ adaptations and continue to shape community and ecosystem structure and function. This scientific perspective, however, carries with it important assumptions about climatic and ecological stationarity in terms of “reference” conditions that provide a basis for comparing success or outcomes of e‐flow interventions. Non‐stationarity in climate and other environmental conditions (temperature, sediment, nutrients) and in ecological features (non‐native species spread) presents important challenges for environmental flows science. Reliance on the assumption of restoration to reference conditions for either hydrologic or ecological conditions is no longer tenable, and an expanded e‐flows science foundation is needed to meet several challenges facing future e‐flows implementations. Currently recognised limitations of e‐flows science contribute to the emergence of research frontiers that need further development. These are (1) shifting from static, regime‐based flow metrics to dynamic, time‐varying flow characterisations; (2) expanding the ecological metrics (and space–time scales) used in e‐flows from primary reliance on ecosystem states to include process (population) rates and species traits; (3) incorporating other “non‐flow” environmental features (e.g. temperature, sediment) to guide prioritisation of e‐flows applications with a likelihood of success; and (4) broadening the ecological foundation of e‐flows to incorporate more ecological theory that will contribute to a more predictive science. The natural flow regime perspective of managing for historical variability will remain important to understand ecological response to hydrologic alterations and to inform e‐flows management. However, under shifting hydro‐climatic and ecological conditions, a new imperative of managing for resilience is emerging, that is, identifying and prescribing e‐flows to sustain robust, persistent and socially valued ecological characteristics in a flexible and adaptive management framework.

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Section: Shifting From Static To Dynamic Modellingmentioning

confidence: 99%

Beyond the natural flow regime? Broadening the hydro‐ecological foundation to meet environmental flows challenges in a non‐stationary world

2017

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“…Moreover, spatial patterns as well as environmental gradients at regional and local scales should be explicitly considered in functional diversity studies in streams (Heino 2005). In summary, although the theoretical underpinnings of how some syndromes of macroinvertebrate traits are expected to respond to environmental gradients at multiple scales have been established (e.g., Townsend & Hildrew 1994, Poff 1997, Statzner et al 2001, Tomanova et al 2008, Zuellig & Schmidt 2012, the relative roles of landscape, local and spatial variables in shaping the functional diversity in streams are poorly understood.…”

Section: One Of the Dominant Themes In Ecological Studies In Recentmentioning

confidence: 99%

Responses of Aquatic Insect Functional Diversity to Landscape Changes in Atlantic Forest

et al. 2013

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The Atlantic Forest domain, one of the 25 world's hotspots for biodiversity, has experienced dramatic changes in its landscape. While the loss of species diversity is well documented, functional diversity has not received the same amount of attention. In this study, we evaluated functional diversity of insects in streams utilizing three indices: functional diversity (FD), functional dispersion (FDis), and functional divergence (FDiv), seeking to understand the roles of three predictor sets in explaining functional patterns: (1) bioclimatic and landscape variables; (2) spatial variables; and (3) local environmental variables. We determined the amount of variation in different measures of functional diversity that was explained by each predictor set and their interplays using variation partitioning. Our study showed that variation in functional diversity is better explained by a set of variables linked to different scales dependent on spatial structures, indicating the importance of landscape and mainly environmental variables in the functional organization of aquatic insect communities, and that the relative importance of predictor sets depends on the indices considered. Variation in FD was better explained by the interplay among the three predictor sets and by local environmental variables, whereas variation in FDis was better explained by spatial variables and by the interplay between environmental and spatial variables. Variation in FDiv was not significantly explained by any predictors. Our study adds more evidence on the harmful effects caused by landscape changes on biodiversity in the Atlantic Forest, suggesting that these effects also influence the functional organization of stream insect communities.

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“…Indeed, the approach allows for predictions to be made regarding the prevalence of certain trait classes along specific gradients of increasing stress. The multiple biological trait approach could also lead to more widely applicable diagnostic indices of impact, as opposed to the composition‐based indices that can be limited to the biogeographic region used for development (Zuellig & Schmidt, ).…”

Section: Introductionmentioning

confidence: 99%

Can macroinvertebrate biological traits indicate fine‐grained sediment conditions in streams?

Murphy

Jones

Arnold

et al. 2017

River Research & Apps

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Excessive inputs of fine-grained sediment can damage aquatic ecosystems both by degrading communities. We quantified changes in the macroinvertebrate biological trait assemblage from a 8 large number of river reaches spanning a national-scale gradient of increasing agricultural fine 9 sediment delivery and retention, having first factored out variation associated with the natural 10 environmental gradient, with the aim of robustly testing predictions of trait response. We found 11 strong support for two of 18 predictions of how macroinvertebrate traits would respond to fine 12 sediment stress. Furthermore, using an independent dataset, we were able to confirm the response

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Characterizing invertebrate traits in wadeable streams of the contiguous US: differences among ecoregions and land uses

Cited by 28 publications

References 37 publications

Beyond the natural flow regime? Broadening the hydro‐ecological foundation to meet environmental flows challenges in a non‐stationary world

Beyond the natural flow regime? Broadening the hydro‐ecological foundation to meet environmental flows challenges in a non‐stationary world

Responses of Aquatic Insect Functional Diversity to Landscape Changes in Atlantic Forest

Can macroinvertebrate biological traits indicate fine‐grained sediment conditions in streams?

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