Motueka River plume facilitates transport of ruminant faecal contaminants into shellfish growing waters, Tasman Bay, New Zealand

Cornelisen, CD; Gillespie, PA; Kirs, Marek; Young, Roger G.; Forrest, RW; Barter, P.J.; Knight, Ben; Harwood, VJ

doi:10.1080/00288330.2011.587822

Cited by 26 publications

(17 citation statements)

References 39 publications

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“…Shellfish populations have declined steeply and Tasman Bay commercial scallop harvest has been suspended since 2005 [130]. Today, prominent economic activities around the bay include aquaculture for green-lipped mussels and livestock ranching (on land) [130][131][132]. Both aquaculture and ranching are private operations that harvest private resources, potentially changing employment opportunities in the bay.…”

Section: Sourcing Stifling Sediment: Teleconnections Between Oyster Bmentioning

confidence: 99%

“…First, sediment is added to the bay mainly through input from terrestrial ecosystems, illustrating the importance of cross-system impacts [140]. Most land use around Tasman Bay is associated with dairy, beef, and sheep ranching, as well as forestry [34,132]. Runoff carrying sediment is directed through prominent currents towards Tasman Bay [140].…”

Section: Sourcing Stifling Sediment: Teleconnections Between Oyster Bmentioning

confidence: 99%

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5 Key Challenges and Solutions for Governing Complex Adaptive (Food) Systems

et al. 2017

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Abstract:There is increasing recognition in academic circles of the importance of adaptive governance for the sustainability of social-ecological systems, but little examination of specific implications for the 34% of land-use where human activities are pervasive but potentially commensurate with functioning ecosystems: agricultural production systems. In this paper, we argue for the need to view food systems and agro-ecosystems as multi-scalar complex adaptive systems and identify five key challenging characteristics of such systems: multi-causality; cumulative impacts; regime shifts; teleconnections and mismatch of scales. These characteristics are necessary features of multi-scalar adaptive systems, and apply equally to social and natural subsystems. We discuss the implications of these characteristics for agricultural production systems and consider how governance can rise to these challenges. We present five case studies that highlight these issues: pollinator declines; payments for ecosystem services; pest control and pesticide resistance; downstream aquatic systems in Tasman Bay, New Zealand; and riparian buffers in Puget Sound, USA. From these case studies we derive recommendations for managing agricultural systems, both specific and general. Ultimately, adaptive governance of agro-ecosystems will likely hinge upon three paradigm shifts: viewing farmers and ranchers not only as food producers but also as land and water managers; seeking not yield maximization but rather resilient management of food ecosystems; and critically, as it transcends the production-system literature, engaging broad audiences not only as consumers but also citizens.

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Section: Sourcing Stifling Sediment: Teleconnections Between Oyster Bmentioning

confidence: 99%

Section: Sourcing Stifling Sediment: Teleconnections Between Oyster Bmentioning

confidence: 99%

5 Key Challenges and Solutions for Governing Complex Adaptive (Food) Systems

et al. 2017

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“…The emergence of the use of microbial tracers (e.g. Wyer et al 2009;Cornelisen et al 2011) presents a promising approach for devising experiments to elaborate on the source composition of bacteria in flood-pulses and hence better understand in-stream transport mechanisms.…”

Section: Scale Temporal Dynamics In Responsementioning

confidence: 99%

“…An 'obvious' ramification of these stormflow 'pulses' is that microbially contaminated plumes from the Motueka River represent a major hazard to bivalve shellfish and bathing beaches in Tasman Bay. Accordingly, there has been interest in measuring E. coli dynamics in the lower Motueka River and in the river plume in Tasman Bay (Cornelisen et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Modelling storm-eventE.colipulses from the Motueka and Sherry Rivers in the South Island, New Zealand

Wilkinson

McKergow

Davies-Colley

et al. 2011

New Zealand Journal of Marine and Freshwater Research

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Storm-induced Escherichia coli pulses in the Motueka River (2074 km 2 ) and the Sherry River (78.4 km 2 ) are modelled. The model focuses on the catchment outlets, representing key processes, including E. coli transfer to and from the river bed, with account taken of the hysteresis in, and non-linear, non-stationary, response of E. coli concentrations to river stormflows. The model fits the Motueka River observations well, but less well in the Sherry River. A greatly simplified description of headwater and riparian inputs is satisfactory at the larger catchment scale where near-field, in-channel processes dominate the response. Spatial heterogeneity in rainfall-run-off and faecal sources probably contribute to the poorer fit in the smaller catchment. Despite using a relatively small number of driving variables and parameters, the model has the potential to predict real-time E. coli input to Tasman Bay in river plumes causing shellfish and bathing beach contamination.

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“…This is particularly true for E. coli, concentrations of which may be three orders of magnitude higher in stormflows than in baseflows. For example, McKergow and Davies-Colley (2010) found that the faecal microbial load from the whole Motueka catchment was yielded in stormflows, and it is these stormflow plumes that are a particular hazard to swimmers and harvesting of shellfish within Tasman Bay (Cornelisen et al 2011;Wilkinson et al 2011). Concentrations of other water quality variables are less strongly related to flow; however, storm loads may still represent a large proportion of the total loads simply because of the high water volumes discharged.…”

Section: Introductionmentioning

confidence: 99%

Nitrogen, phosphorus andE. coliloads in the Sherry River, New Zealand

Ballantine

Davies-Colley

2013

New Zealand Journal of Marine and Freshwater Research

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The Sherry River, a tributary of the Motueka River (Tasman District, upper South Island, New Zealand), has somewhat degraded water quality related to a high proportion of the catchment being used for pastoral agriculture (which comprises 30% dairying). We undertook a campaign to estimate loads of phosphorus, nitrogen and Escherichia coli for comparison with other dairy-impacted catchments and against which to measure future reductions in pollutants in the Sherry River, expected from changed management practices. Monthly water quality sampling in the Sherry River was augmented with storm chasing for one year (October 2008 to October 2009). Loads of pollutants in events increased disproportionately with event peak flow, probably because the proportion of overland flow increases systematically with increasing event size. Stormflows (occurring 9.5% of the time) transported 33% of the total flow from the Sherry River, and between 22% (for nitrate) and 92% (for E. coli) of pollutant loads.

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Motueka River plume facilitates transport of ruminant faecal contaminants into shellfish growing waters, Tasman Bay, New Zealand

Abstract: Hydrographic and water quality surveys of the Motueka River and its river plume were conducted during a moderate flood event (peak flow of 420 m 3

Cited by 26 publications

References 39 publications

5 Key Challenges and Solutions for Governing Complex Adaptive (Food) Systems

5 Key Challenges and Solutions for Governing Complex Adaptive (Food) Systems

Modelling storm-eventE.colipulses from the Motueka and Sherry Rivers in the South Island, New Zealand

Nitrogen, phosphorus andE. coliloads in the Sherry River, New Zealand

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