Extent estimates and land cover relationships for functional indicators in non-wadeable rivers

Collier, Kevin J.; Clapcott, Joanne E.; Hamer, Mark P.; Young, Roger G.

doi:10.1016/j.ecolind.2013.04.010

Cited by 18 publications

(13 citation statements)

References 47 publications

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“…Vannote et al 1980). This result supports the application of stream metabolism as a stream-health indicator, where a predictable response to landuse gradients across a range of river sizes is ideal (e.g., , Collier et al 2013). …”

Section: Metabolic Variability As An Indicator Of Landuse Disturbancesupporting

confidence: 62%

Land use affects temporal variation in stream metabolism

Clapcott¹,

Young²,

Neale³

et al. 2016

Freshwater Science

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Stream metabolism (gross primary production and ecosystem respiration) is increasingly used to assess waterway health because mean values are responsive to spatial variation in land use, but little is known about how human land use influences the temporal variability of stream metabolism. We investigated daily variation in dissolved O 2 (DO) concentrations and calculated mean and within-season variation in gross primary production (GPP) and ecosystem respiration (ER) rates at 13 stream sites across a landuse intensity gradient in the Auckland region, New Zealand, over 9 y. Based on generalized linear mixed models, mean daily GPP (0.1-12.6 g O 2 m −2 d ) and seasonal variation in stream metabolism were significantly related to landuse intensity with higher variability associated with higher values of a landuse stress score. Overall, mean daily rates and day-to-day variation in GPP and ER were greatest in summer and least in winter. We recommend summer monitoring over a minimum 5-d period to assess stream health. Our results show that human land use affects the mean and the temporal variability of DO and stream metabolism. This finding has important consequences for characterizing in-stream processes and the resilience of stream ecosystems. Only long-term temporal monitoring provides the data needed to assess fully how streams function.

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Section: Metabolic Variability As An Indicator Of Landuse Disturbancesupporting

confidence: 62%

Land use affects temporal variation in stream metabolism

Clapcott¹,

Young²,

Neale³

et al. 2016

Freshwater Science

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“…Silva et al (2013) found that selective logging in the catchment where a 15-m buffer zone was respected and where riparian vegetation was integrally preserved had no effect on stream metabolic rates. The studies of McTammany et al (2007) and Collier et al (2013) found initial increases in GPP under low impact levels followed by GPP reductions in high levels of agricultural impacts. Similarly to the studies mentioned above, these GPP reductions in high impact levels seem to be related to turbidity increases caused by livestock activity in the stream channel.…”

Section: Discussionmentioning

confidence: 99%

Land use effects and stream metabolic rates: a review of ecosystem response

Silva-Júnior

2016

Acta Limnol. Bras.

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Aim To conduct a review of the literature in order to identify the general stream metabolic responses to land use change. Methods I conducted a scientometric review analyzing the distribution of the studies among different environments, the land use scale used, and the general trends in stream metabolism response under each kind of land-use impact. Major Results Most of the analyzed studies were conducted in temperate environments, studying land-use impacts at catchment scale. Ecosystem metabolism responded to land use impacts most of the cases, especially under agricultural pressure. The general responses to land-use alterations were increases in rates of Gross Primary Production (GPP) and ecosystem Respiration (R). Primary production increases were mostly related to light and nutrient concentration increases, while R was usually related to water nutrient concentration, temperature and amount of particulate organic matter, but this general behavior can change under high impact levels where sometimes GPP decreases in response to turbidity increases. Riparian vegetation restoration have a positive effect in driving stream metabolic conditions in the direction of pristine condition, but the effectiveness of this approach is reduced in highly impacted systems. Conclusions To elucidate the mechanistic relations between stream metabolic changes and land use impacts is still one fundamental aspect to study in order to best predict effects of land use changes and establish management and protection programs. Thus, studies should focus on the causative relations between stream processes and land use changes considering different scales and multiple stress scenarios in order to improve our understanding about factors that drive the observed metabolic changes.

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“…At the catchment scale, our study elaborates that variables reflecting anthropogenic stress are important for invertebrate occurrences, too (here, non-irrigated farmland and urban land use). Kail et al (2012) found thresholds of 16.3 % urban landuse in german catchments limiting ecological quality at the sites, Collier et al (2013) linked less than 20 % natural vegetation cover to changes in ecosystems functions and Death and Collier (2010) related the amount of catchment natural vegetation to water quality or biodiversity. However, in terms of biotic influences, land use can alter community composition and biodiversity patterns (Allan 2004;Harding et al 1998) and functional indices (Clapcott et al 2012;Collier et al 2013), but despite altering composition, this may not influence other environmental linkages including those between productivity, disturbance and diversity (Tonkin and Death 2012).…”

Section: Discussion Environmental Variablesmentioning

confidence: 99%

Community–environment relationships of riverine invertebrate communities in central Chinese streams

Jähnig

Shah

et al. 2015

Environ Earth Sci

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Chinese rivers are both highly biodiverse and highly under pressure, hence an urgent need exists to understand ecological drivers and disentangle different scales of stressors to support water management. Our aims were to (1) determine the most influential variables for benthic invertebrate occurrence, (2) compare results related to communities as opposed to metrics and (3) examine the role of spatial scales with relevance to management. Benthic invertebrate sampling was performed at 37 sites in selected tributaries of the middle reaches of the Yangtze, covering an environmental gradient with a focus on organic pollution (stratified sampling design). Ten metrics commonly used in biomonitoring were derived and analysed in parallel to assemblage data. Environmental variables covered 74 parameters from three different spatial scales, namely local, reach and catchment scale. We ran a CCA with each of the three subsets to find out the significant determining/explanatory variables, followed by pCCA and pRDA (for metric data) with these variables with forward selection to determine single variables important for each subset; we further used variation portioning for benthic invertebrate data. A high percentage of overall variability (70 %) of the assemblage structure was explained, with catchment-and local-scale variables being almost equally important. Small-scale variables tended to be more important than large-scale variables for the metric-based approach but not for the assemblage approach. Our results emphasise the need for spatially explicit regional studies in freshwater systems and suggest testing multi-metric assessment approaches to tackle water management and environmental health questions in China.

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Extent estimates and land cover relationships for functional indicators in non-wadeable rivers

Cited by 18 publications

References 47 publications

Land use affects temporal variation in stream metabolism

Land use affects temporal variation in stream metabolism

Land use effects and stream metabolic rates: a review of ecosystem response

Community–environment relationships of riverine invertebrate communities in central Chinese streams

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