title: Mātauranga Māori to inform understanding of population dynamics and health of pipi in Waihī Estuary, Bay of Plenty.

authors: Kettle, Tyla

abstract: Estuaries are among the most productive ecosystems on earth. They hold significant value to Māori as they connect the whenua (land), awa (river) and moana (ocean), and are an important source of kaimoana (seafood) including shellfish. However, due to increased anthropogenic pressures, many estuaries are degraded, affecting taonga (Māori treasure) species such as pipi (Paphies australis). My thesis uses kaupapa Māori methodology and is co-developed with Ngāti Whakahemo, tangata whenua (people of the land) of Waihī Estuary. This project fundamentally draws upon mātauranga Māori (traditional Māori knowledge), combined with western science to map the historic and current distribution, abundance and health of pipi in Waihī Estuary; as well as explore the perceptions of threats to pipi and estuary ecology from tangata whenua and the regional authority. 
Participatory mapping was used via kōrero/interviews with kaumātua to identify sites of significance for pipi, which were then sampled in November 2020. Mātauranga ā iwi from Ngāti Whakahemo informed the sampling locations. Previous pipi sampling methodology and protocols undertaken by the Ministry for Primary Industries (MPI) were used to facilitate temporal comparisons of pipi distribution and abundance. Environmental factors including sediment grain size, organic content, total nitrogen (TN) and total phosphorus (TP) were also measured to help understand what drives the population dynamics of pipi. Perceptions of tangata whenua and staff members of the Bay of Plenty Regional Council (BOPRC) were also explored following methods similar to Klain et al. (2018) and implementing a dread risk tool via participatory mapping.
Results show that culturally significant sites identified by kaumātua support high pipi abundances of large size (40mm+), with low abundances of pipi in the upper reaches of the estuary. The inclusion of sites identified by MPI allowed for more comprehensive survey on pipi population dynamics by utilising a stratified survey design. Pipi size and abundance was significantly correlated with environmental factors with high pipi densities associated with medium grain size fractions and low levels of TN, TP and organic content. Over harvesting was perceived by kaumātua and BOPRC staff members as the dominant threat to pipi abundance and Waihī Estuary. Nutrients related to sewage inputs and runoff were rated as the second highest perceived threat and diseased shellfish ranked third by kaumātua and BOPRC staff members. 
This study demonstrates that the sharing of mātauranga ā iwi can fundamentally inform western science methods and can be used as an approach to research in the marine science realm. The research space was shared by researchers and kaumātua, was honourable of the mātauranga, iwi voices were heard and a co-developed field survey plan/research plan was produced. Iwi concerns were made a priority throughout, and incorporated into the monitoring, mapping and management frameworks. Thus, I had a Māori-centred agenda which is important as Ngāti Whakahemo are looking to utilise the results from my research to inform their iwi environmental management plan. This approach will help to strengthen current marine management practices and in turn Aotearoa New Zealand’s ecosystems due to iwi environmental management plans being informed by such results.

text: Mātauranga Māori to inform understanding of population dynamics and health of pipi in Waihī Estuary, Bay of Plenty. Estuaries are among the most productive ecosystems on earth. They hold significant value to Māori as they connect the whenua (land), awa (river) and moana (ocean), and are an important source of kaimoana (seafood) including shellfish. However, due to increased anthropogenic pressures, many estuaries are degraded, affecting taonga (Māori treasure) species such as pipi (Paphies australis). My thesis uses kaupapa Māori methodology and is co-developed with Ngāti Whakahemo, tangata whenua (people of the land) of Waihī Estuary. This project fundamentally draws upon mātauranga Māori (traditional Māori knowledge), combined with western science to map the historic and current distribution, abundance and health of pipi in Waihī Estuary; as well as explore the perceptions of threats to pipi and estuary ecology from tangata whenua and the regional authority. 
Participatory mapping was used via kōrero/interviews with kaumātua to identify sites of significance for pipi, which were then sampled in November 2020. Mātauranga ā iwi from Ngāti Whakahemo informed the sampling locations. Previous pipi sampling methodology and protocols undertaken by the Ministry for Primary Industries (MPI) were used to facilitate temporal comparisons of pipi distribution and abundance. Environmental factors including sediment grain size, organic content, total nitrogen (TN) and total phosphorus (TP) were also measured to help understand what drives the population dynamics of pipi. Perceptions of tangata whenua and staff members of the Bay of Plenty Regional Council (BOPRC) were also explored following methods similar to Klain et al. (2018) and implementing a dread risk tool via participatory mapping.
Results show that culturally significant sites identified by kaumātua support high pipi abundances of large size (40mm+), with low abundances of pipi in the upper reaches of the estuary. The inclusion of sites identified by MPI allowed for more comprehensive survey on pipi population dynamics by utilising a stratified survey design. Pipi size and abundance was significantly correlated with environmental factors with high pipi densities associated with medium grain size fractions and low levels of TN, TP and organic content. Over harvesting was perceived by kaumātua and BOPRC staff members as the dominant threat to pipi abundance and Waihī Estuary. Nutrients related to sewage inputs and runoff were rated as the second highest perceived threat and diseased shellfish ranked third by kaumātua and BOPRC staff members. 
This study demonstrates that the sharing of mātauranga ā iwi can fundamentally inform western science methods and can be used as an approach to research in the marine science realm. The research space was shared by researchers and kaumātua, was honourable of the mātauranga, iwi voices were heard and a co-developed field survey plan/research plan was produced. Iwi concerns were made a priority throughout, and incorporated into the monitoring, mapping and management frameworks. Thus, I had a Māori-centred agenda which is important as Ngāti Whakahemo are looking to utilise the results from my research to inform their iwi environmental management plan. This approach will help to strengthen current marine management practices and in turn Aotearoa New Zealand’s ecosystems due to iwi environmental management plans being informed by such results.

year: 2021

title: The Waikato River settlement: Exploring a model for co-management and protection of natural and cultural resources

authors: Te Aho, Linda

abstract: This presentation explores co-management regimes in Aotearoa, including the framework established under the Waikato River Settlement, which mandates the protection and restoration of the river’s health and well being for present and future generations.

text: The Waikato River settlement: Exploring a model for co-management and protection of natural and cultural resources This presentation explores co-management regimes in Aotearoa, including the framework established under the Waikato River Settlement, which mandates the protection and restoration of the river’s health and well being for present and future generations.

year: 2015

title: Supporting Focus and Context  Awareness in 3D Modeling Using  Multi-Layered Displays

authors: Mohd Yusof, Azmi

subjects: Focus and Context Awareness

abstract: Although advances in computer technology over the past few decades have made it possible to create and render highly realistic 3D models these days, the process of creating these models has remained largely unchanged over the years. Modern 3D modeling software provide a range of tools to assist users with creating 3D models, but the process of creating models in virtual 3D space is nevertheless still challenging and cumbersome. This thesis, therefore, aims to investigate whether it is possible to support modelers more effectively by providing them with alternative combinations of hardware and software tools to improve their 3D modeling tasks.
The first step towards achieving this goal has been to better understand the type of problems modelers face in using conventional 3D modeling software. To achieve this, a pilot study of novice 3D modelers, and a more comprehensive study of professional modelers were conducted. These studies resulted in identifying a range of focus and context awareness problems that modelers face in creating complex 3D models using conventional modeling software. These problems can be divided into four categories: maintaining position awareness, identifying and selecting objects or components of interest, recognizing the distance between objects or components, and realizing the relative position of objects or components.
Based on the above categorization, five focus and context awareness techniques were developed for a multi-layer computer display to enable modelers to better maintain their focus and context awareness while performing 3D modeling tasks. These techniques are: object isolation, component segregation, peeling focus, slicing, and peeling focus and context. 
A user study was then conducted to compare the effectiveness of these focus and context awareness techniques with other tools provided by conventional 3D modeling software. The results of this study were used to further improve, and evaluate through a second study, the five focus and context awareness techniques. The two studies have demonstrated that some of these techniques are more effective in supporting 3D modeling tasks than other existing software tools.

text: Supporting Focus and Context  Awareness in 3D Modeling Using  Multi-Layered Displays Although advances in computer technology over the past few decades have made it possible to create and render highly realistic 3D models these days, the process of creating these models has remained largely unchanged over the years. Modern 3D modeling software provide a range of tools to assist users with creating 3D models, but the process of creating models in virtual 3D space is nevertheless still challenging and cumbersome. This thesis, therefore, aims to investigate whether it is possible to support modelers more effectively by providing them with alternative combinations of hardware and software tools to improve their 3D modeling tasks.
The first step towards achieving this goal has been to better understand the type of problems modelers face in using conventional 3D modeling software. To achieve this, a pilot study of novice 3D modelers, and a more comprehensive study of professional modelers were conducted. These studies resulted in identifying a range of focus and context awareness problems that modelers face in creating complex 3D models using conventional modeling software. These problems can be divided into four categories: maintaining position awareness, identifying and selecting objects or components of interest, recognizing the distance between objects or components, and realizing the relative position of objects or components.
Based on the above categorization, five focus and context awareness techniques were developed for a multi-layer computer display to enable modelers to better maintain their focus and context awareness while performing 3D modeling tasks. These techniques are: object isolation, component segregation, peeling focus, slicing, and peeling focus and context. 
A user study was then conducted to compare the effectiveness of these focus and context awareness techniques with other tools provided by conventional 3D modeling software. The results of this study were used to further improve, and evaluate through a second study, the five focus and context awareness techniques. The two studies have demonstrated that some of these techniques are more effective in supporting 3D modeling tasks than other existing software tools.

year: 2013