title: Engaging primary students in learning about New Zealand birds: A socially relevant context

authors: Chen, Junjun

subjects: Biology

abstract: This article reports on a classroom study of a unit on New Zealand birds that focused on adaptation and conservation in a Year 7 class. The unit used a 'context as social circumstances' model. The researchers observed the nine lessons and interviewed students, the classroom teacher, and three other teachers who had taught the same unit. The students completed a pre-test and a post-test for the unit. Findings indicate that the students enjoyed and were interested in the unit, and had learnt more than usual. The students investigated predators using the tracking tunnel in their school gully and, of their own volition, in their home gardens. Some students pursued this interest into the wider community after the completion of the unit. The 'context as social circumstances' unit teachers helped students see the relevance of learning science for their lives, personally and socially, which opens up the possibility of action outside the classroom. The role of context, content and activity selection in the design of a unit that has social relevance is discussed

text: Engaging primary students in learning about New Zealand birds: A socially relevant context This article reports on a classroom study of a unit on New Zealand birds that focused on adaptation and conservation in a Year 7 class. The unit used a 'context as social circumstances' model. The researchers observed the nine lessons and interviewed students, the classroom teacher, and three other teachers who had taught the same unit. The students completed a pre-test and a post-test for the unit. Findings indicate that the students enjoyed and were interested in the unit, and had learnt more than usual. The students investigated predators using the tracking tunnel in their school gully and, of their own volition, in their home gardens. Some students pursued this interest into the wider community after the completion of the unit. The 'context as social circumstances' unit teachers helped students see the relevance of learning science for their lives, personally and socially, which opens up the possibility of action outside the classroom. The role of context, content and activity selection in the design of a unit that has social relevance is discussed

year: 2013

title: Data mining as a tool for environmental scientists

authors: Spate, Jessica

subjects: data mining

abstract: Over recent years a huge library of data mining algorithms has been developed to tackle a variety of problems in fields such as medical imaging and network traffic analysis. Many of these techniques are far more flexible than more classical modelling approaches and could be usefully applied to data-rich environmental problems. Certain techniques such as Artificial Neural Networks, Clustering, Case-Based Reasoning and more recently Bayesian Decision Networks have found application in environmental modelling while other methods, for example classification and association rule extraction, have not yet been taken up on any wide scale. We propose that these and other data mining techniques could be usefully applied to difficult problems in the field. This paper introduces several data mining concepts and briefly discusses their application to environmental modelling, where data may be sparse, incomplete, or heterogenous.

text: Data mining as a tool for environmental scientists Over recent years a huge library of data mining algorithms has been developed to tackle a variety of problems in fields such as medical imaging and network traffic analysis. Many of these techniques are far more flexible than more classical modelling approaches and could be usefully applied to data-rich environmental problems. Certain techniques such as Artificial Neural Networks, Clustering, Case-Based Reasoning and more recently Bayesian Decision Networks have found application in environmental modelling while other methods, for example classification and association rule extraction, have not yet been taken up on any wide scale. We propose that these and other data mining techniques could be usefully applied to difficult problems in the field. This paper introduces several data mining concepts and briefly discusses their application to environmental modelling, where data may be sparse, incomplete, or heterogenous.

year: 2006

title: Recognising the negative impacts of aquatic weed management: Okawa Bay, Lake Rotoiti case study

authors: Scholes, Paul

abstract: The Te Arawa Rotorua Lakes Programme continues to implement measures to maintain and restore lake water quality in line with trophic level indices (TLI’s) for respective lakes. In Lakes Rotorua and Rotoiti this has also meant not only reducing nutrients to and in the lakes but also managing periodic cyano-bacterial (blue-green) algal blooms.
Restoration measures in the Rotorua and Rotoiti catchments have included land use management efforts to arrest nutrient inputs; diversion of Lake Rotorua waters from entering Rotoiti; sewage reticulation of lakeside communities; and treatment of inflows
with aluminium sulphate (alum). While restoration efforts have produced water quality gains in both lakes, in recent years, cyano-bacterial blooms have occurred in the shallow embayment of Lake Rotoiti, known as Okawa Bay.
These water quality gains have not come without a cost. Submerged aquatic weeds such as Hornwort are an increasing problem in the Rotorua Te Arawa Lakes and significant resources are needed to manage infestations primarily for aesthetic and recreational
amenity. Control of exotic aquatic weed is mostly with application of herbicide. Herbicide treatment leaves a decomposing biomass in the waterbody, potentially increasing the nutrient status.
We examine the impact aquatic weed decomposition has had on Okawa Bay’s nutrient status and the cyano-bacterial blooms over recent summers, and Bay of Plenty Regional Council’s response to reduce localised bloom development.

text: Recognising the negative impacts of aquatic weed management: Okawa Bay, Lake Rotoiti case study The Te Arawa Rotorua Lakes Programme continues to implement measures to maintain and restore lake water quality in line with trophic level indices (TLI’s) for respective lakes. In Lakes Rotorua and Rotoiti this has also meant not only reducing nutrients to and in the lakes but also managing periodic cyano-bacterial (blue-green) algal blooms.
Restoration measures in the Rotorua and Rotoiti catchments have included land use management efforts to arrest nutrient inputs; diversion of Lake Rotorua waters from entering Rotoiti; sewage reticulation of lakeside communities; and treatment of inflows
with aluminium sulphate (alum). While restoration efforts have produced water quality gains in both lakes, in recent years, cyano-bacterial blooms have occurred in the shallow embayment of Lake Rotoiti, known as Okawa Bay.
These water quality gains have not come without a cost. Submerged aquatic weeds such as Hornwort are an increasing problem in the Rotorua Te Arawa Lakes and significant resources are needed to manage infestations primarily for aesthetic and recreational
amenity. Control of exotic aquatic weed is mostly with application of herbicide. Herbicide treatment leaves a decomposing biomass in the waterbody, potentially increasing the nutrient status.
We examine the impact aquatic weed decomposition has had on Okawa Bay’s nutrient status and the cyano-bacterial blooms over recent summers, and Bay of Plenty Regional Council’s response to reduce localised bloom development.

year: 2015