title: Exploring social media engagement by female athletes in a postfeminist age

authors: Toffoletti, Kim

abstract: The research aims to explore how social media is being used by sportswomen in the representation and promotion of their sport and themselves as sporting subjects.

text: Exploring social media engagement by female athletes in a postfeminist age The research aims to explore how social media is being used by sportswomen in the representation and promotion of their sport and themselves as sporting subjects.

year: 2016

title: A modelling approach to assist with managing water quality in a catchment subject to rapid urbanisation: Lake Rotokauri, Hamilton, New Zealand

authors: Sharma, Abhilasha

subjects: Lake Rotokauri

abstract: The objective of this study was to apply a coupled hydrodynamic-ecological model to a peat-stained and shallow (~4 m maximum depth) eutrophic lake whose catchment is likely to be subject to urban expansion associated with the development of Hamilton city, Waikato, New Zealand. The in-lake modelling was designed to increase understanding of the lake ecosystem and potentially to influence planning and management decisions associated with the prospective urban development project being undertaken by the Hamilton City Council (HCC). The overarching goal of the development is to accommodate urban expansion whilst retaining and enhancing the existing natural resources of Lake Rotokauri and Waiwhakareke Lake, and to restore the ecological value of the Rotokauri catchment. The main objective of this study was to understand the relationship between lake water quality and the effects of change of land-use from pastoral to urban within the Rotokauri catchment. This study incorporated results from a twelve-month programme of field work undertaken independently to the present study, into empirical calculations and computer modelling related to the catchment water budget and nutrient load, as well as the lake water quality. The fieldwork included the collection of water samples at set depths from Lake Rotokauri for the analysis of total and dissolved nutrients, chlorophyll a and dissolved oxygen concentrations, and water temperature. On each sampling occasion a Secchi depth was measured. The surface flow measurements and nutrient loadings via the inflows were obtained as part of a water budget calculation for the lake as well as from previous studies that used both field measurements and models to derive nutrient concentrations and loads.

An empirical water budget for Lake Rotokauri was developed to estimate the groundwater and outflow discharge as there were no gaugings that could be applied to input these variables into the lake model. Meteorological data for Lake Rotokauri was obtained from the National Institute of Water and Atmosphere Limited database, based on measurement at the Ruakura meteorological station. Meteorological data, inflows (including empirically estimated groundwater and measured surface water discharges to the lake) and the calculated outflow were entered as daily inputs to the DYRESM-CAEDYM lake model for the period of 2009. The available data relating to 2009 were looped for 2010 to check the stability of the model and its ability to capture repeated inter-annual dynamics that would be expected with identical annual forcing data input. DYRESM is a one-dimensional hydrodynamic model that predicts the vertical distribution of temperature, density and salinity. CAEDYM is an aquatic ecological model which was coupled with DYRESM as its hydrodynamic driver to simulate transport and mixing, and output temperature and biogeochemical parameters associated with lake water quality. The model satisfactorily simulated both the surface (0 m) and bottom (3 m) water temperature and the seasonal trends including the occasional stratification periods observed through spring to autumn. The model simulations showed greater departures from field data in simulating the dynamics of biogeochemical variables, particularly the seasonal dynamics of phytoplankton. The conceptual seasonal succession in phytoplankton communities depicts dominance of cyanobacteria in summer and diatoms in winter. In the observed data for Lake Rotokauri diatoms were found to be the dominant group throughout the year. The calibrated model was able to show diatoms to be the dominant group over cyanobacterial blooms. The agreement between concentrations of nitrate and dissolved reactive phosphorus in the water column was better than for chlorophyll a, and the observed magnitude and seasonal fluctuations at both depths (0 and 3 m) were captured reasonably well by the model simulations. The total nitrogen (TN) and total phosphorus (TP) concentrations were under and over-estimated, respectively. Dissolved reactive phosphorus (PO4) was overestimated perhaps as a result of insufficient uptake of phosphorus by the two phytoplankton groups. As the present model does not contain a dynamic description of sediment dynamics, the sediment phosphorus release rates were influenced by user-defined maximum phosphorus release rate, temperature and the oxygen concentration in the overlying waters. Concentrations of ammonium were underestimated but it represented a relatively small proportion of TN. Due to wind-induced mixing and sediment resuspension, as well as convective sediment-water heat exchanges, phosphorus may be released from the bottom sediments where it has previously sedimented out. The model simulations may not have captured these internal loads of phosphorus adequately as sediment resuspension, for example, was not explicitly included in the model configuration.
To depict the future water quality of Lake Rotokauri when subjected to urbanisation, three scenarios were developed which involved simulations with altered nutrient loads to DYRESM-CAEDYM and comparisons with the calibrated model which represented a ‘base’ or present case of water quality. The scenarios considered the water quality that could evolve during and after urban development, and with a range of mitigation measures, from relatively modest treatment to best management practices to reduce nutrient loads and attenuate water flows to the lake.
The predicted nutrient load contributed from future urban run-off was less than the nutrient load from the pastoral run-off in all scenarios. The model indicated that the nutrient loading from a future catchment with little or modest treatment of the urban area (Scenario I) would be only slightly poorer water quality than Scenario II which examined the water quality during the construction phase. Scenario III (treated water) was most effective in reducing nutrient loads to Lake Rotokauri. At 3 m depth dissolved oxygen (DO) concentrations showed large fluctuations throughout the year for the both the base and untreated discharge scenarios. Chlorophyll a (chl a) concentrations for the untreated scenario were greater than in the base scenario. The timing of peak chl a concentrations between base and untreated discharges differed by a few days. The TP, TN and nitrate (NO3-N) concentrations of the base scenario were greater than the untreated scenario.
Scenario II represented the intermediate stage towards Scenario 3 which was the optimal treatment case for the catchment. The greatest difference in DO at 0 m between the base case and scenario II was in March (i.e., base-intermediate = 2.76 mg L-1). At 3 m depth, Lake Rotokauri was predicted to be anoxic on 4 July 2011 (0.18 mg L-1) for scenario II. Chlorophyll a concentrations for scenario 2 were lower than the base case and PO4-P concentrations were higher. Concentrations of NO3-N and NH4-N at 3 m depth for scenario II were lower than the base case.
Scenario III involved simulating water quality from with best management practices implemented. These practices included detention basins (grass-lined), constructed wetlands, biofiltration swales and floodways. At 3 m depth, fluctuations in DO concentration for both the base and scenario III were similar at the beginning of the simulated period, but for the months of May to November DO was lower in Scenario III than the base case. The maximum chl a for scenario 3 peaked at 30.8 μgL-1 compared to 38.9 μg L-1 observed in the base model. The TP and TN concentrations were substantially lower in Scenario III than the base model. Concentrations of PO4-P at 3 m depth were low for most of the year except in March. At 0 m depth the NH4-N concentrations were greater than the base model from mid-June to July. Concentrations of NO3-N for the treated scenario at 0 m depth were approximately 25% less than the base model. 
Future studies should consider an ongoing comprehensive and consistent monitoring plan that would emphasise any change in the water quality of Lake Rotokauri during and/or after high-density urban developments within the catchment. Future works should involve regular monitoring that would not only limit the uncertainties in the data but also account for any effects that may be attributable to the management plan. Restoration plans should also be considered to explore the effects of biomanipulation and re-establishment of submerged vegetation. The DYRESM-CAEDYM model may also be used to examine the effects of climate change on in-lake processes and external loads to the lake.

text: A modelling approach to assist with managing water quality in a catchment subject to rapid urbanisation: Lake Rotokauri, Hamilton, New Zealand The objective of this study was to apply a coupled hydrodynamic-ecological model to a peat-stained and shallow (~4 m maximum depth) eutrophic lake whose catchment is likely to be subject to urban expansion associated with the development of Hamilton city, Waikato, New Zealand. The in-lake modelling was designed to increase understanding of the lake ecosystem and potentially to influence planning and management decisions associated with the prospective urban development project being undertaken by the Hamilton City Council (HCC). The overarching goal of the development is to accommodate urban expansion whilst retaining and enhancing the existing natural resources of Lake Rotokauri and Waiwhakareke Lake, and to restore the ecological value of the Rotokauri catchment. The main objective of this study was to understand the relationship between lake water quality and the effects of change of land-use from pastoral to urban within the Rotokauri catchment. This study incorporated results from a twelve-month programme of field work undertaken independently to the present study, into empirical calculations and computer modelling related to the catchment water budget and nutrient load, as well as the lake water quality. The fieldwork included the collection of water samples at set depths from Lake Rotokauri for the analysis of total and dissolved nutrients, chlorophyll a and dissolved oxygen concentrations, and water temperature. On each sampling occasion a Secchi depth was measured. The surface flow measurements and nutrient loadings via the inflows were obtained as part of a water budget calculation for the lake as well as from previous studies that used both field measurements and models to derive nutrient concentrations and loads.

An empirical water budget for Lake Rotokauri was developed to estimate the groundwater and outflow discharge as there were no gaugings that could be applied to input these variables into the lake model. Meteorological data for Lake Rotokauri was obtained from the National Institute of Water and Atmosphere Limited database, based on measurement at the Ruakura meteorological station. Meteorological data, inflows (including empirically estimated groundwater and measured surface water discharges to the lake) and the calculated outflow were entered as daily inputs to the DYRESM-CAEDYM lake model for the period of 2009. The available data relating to 2009 were looped for 2010 to check the stability of the model and its ability to capture repeated inter-annual dynamics that would be expected with identical annual forcing data input. DYRESM is a one-dimensional hydrodynamic model that predicts the vertical distribution of temperature, density and salinity. CAEDYM is an aquatic ecological model which was coupled with DYRESM as its hydrodynamic driver to simulate transport and mixing, and output temperature and biogeochemical parameters associated with lake water quality. The model satisfactorily simulated both the surface (0 m) and bottom (3 m) water temperature and the seasonal trends including the occasional stratification periods observed through spring to autumn. The model simulations showed greater departures from field data in simulating the dynamics of biogeochemical variables, particularly the seasonal dynamics of phytoplankton. The conceptual seasonal succession in phytoplankton communities depicts dominance of cyanobacteria in summer and diatoms in winter. In the observed data for Lake Rotokauri diatoms were found to be the dominant group throughout the year. The calibrated model was able to show diatoms to be the dominant group over cyanobacterial blooms. The agreement between concentrations of nitrate and dissolved reactive phosphorus in the water column was better than for chlorophyll a, and the observed magnitude and seasonal fluctuations at both depths (0 and 3 m) were captured reasonably well by the model simulations. The total nitrogen (TN) and total phosphorus (TP) concentrations were under and over-estimated, respectively. Dissolved reactive phosphorus (PO4) was overestimated perhaps as a result of insufficient uptake of phosphorus by the two phytoplankton groups. As the present model does not contain a dynamic description of sediment dynamics, the sediment phosphorus release rates were influenced by user-defined maximum phosphorus release rate, temperature and the oxygen concentration in the overlying waters. Concentrations of ammonium were underestimated but it represented a relatively small proportion of TN. Due to wind-induced mixing and sediment resuspension, as well as convective sediment-water heat exchanges, phosphorus may be released from the bottom sediments where it has previously sedimented out. The model simulations may not have captured these internal loads of phosphorus adequately as sediment resuspension, for example, was not explicitly included in the model configuration.
To depict the future water quality of Lake Rotokauri when subjected to urbanisation, three scenarios were developed which involved simulations with altered nutrient loads to DYRESM-CAEDYM and comparisons with the calibrated model which represented a ‘base’ or present case of water quality. The scenarios considered the water quality that could evolve during and after urban development, and with a range of mitigation measures, from relatively modest treatment to best management practices to reduce nutrient loads and attenuate water flows to the lake.
The predicted nutrient load contributed from future urban run-off was less than the nutrient load from the pastoral run-off in all scenarios. The model indicated that the nutrient loading from a future catchment with little or modest treatment of the urban area (Scenario I) would be only slightly poorer water quality than Scenario II which examined the water quality during the construction phase. Scenario III (treated water) was most effective in reducing nutrient loads to Lake Rotokauri. At 3 m depth dissolved oxygen (DO) concentrations showed large fluctuations throughout the year for the both the base and untreated discharge scenarios. Chlorophyll a (chl a) concentrations for the untreated scenario were greater than in the base scenario. The timing of peak chl a concentrations between base and untreated discharges differed by a few days. The TP, TN and nitrate (NO3-N) concentrations of the base scenario were greater than the untreated scenario.
Scenario II represented the intermediate stage towards Scenario 3 which was the optimal treatment case for the catchment. The greatest difference in DO at 0 m between the base case and scenario II was in March (i.e., base-intermediate = 2.76 mg L-1). At 3 m depth, Lake Rotokauri was predicted to be anoxic on 4 July 2011 (0.18 mg L-1) for scenario II. Chlorophyll a concentrations for scenario 2 were lower than the base case and PO4-P concentrations were higher. Concentrations of NO3-N and NH4-N at 3 m depth for scenario II were lower than the base case.
Scenario III involved simulating water quality from with best management practices implemented. These practices included detention basins (grass-lined), constructed wetlands, biofiltration swales and floodways. At 3 m depth, fluctuations in DO concentration for both the base and scenario III were similar at the beginning of the simulated period, but for the months of May to November DO was lower in Scenario III than the base case. The maximum chl a for scenario 3 peaked at 30.8 μgL-1 compared to 38.9 μg L-1 observed in the base model. The TP and TN concentrations were substantially lower in Scenario III than the base model. Concentrations of PO4-P at 3 m depth were low for most of the year except in March. At 0 m depth the NH4-N concentrations were greater than the base model from mid-June to July. Concentrations of NO3-N for the treated scenario at 0 m depth were approximately 25% less than the base model. 
Future studies should consider an ongoing comprehensive and consistent monitoring plan that would emphasise any change in the water quality of Lake Rotokauri during and/or after high-density urban developments within the catchment. Future works should involve regular monitoring that would not only limit the uncertainties in the data but also account for any effects that may be attributable to the management plan. Restoration plans should also be considered to explore the effects of biomanipulation and re-establishment of submerged vegetation. The DYRESM-CAEDYM model may also be used to examine the effects of climate change on in-lake processes and external loads to the lake.

year: 2011

title: Te whakatau i te mita o Ngāti Kahungunu; tōna hītori, tōna whanaketanga me tōna ahunga whakamua

authors: MacLeod, Jeremy Tātere

subjects: Ngāti Kahungunu, Dialect

abstract: He Whakamāramatanga

Ko Te Whanganui-a-Tara te maunga,
Ko Waingōngoro te awa,
Ko Takitimu te waka,
Ko Waimārama te marae,
Ko Taupunga te whare,
Ko Ngāti Kahungunu te iwi,
Ko Ngāti Kurukuru te hapū.

Ko te reo Māori taku reo tuarua. He mea ako ahau e ētahi o ngā tino mātanga reo o te motu. He reo takitini tōku, arā, he whenumitanga nō ngā momo reo o te motu. Ko te nuinga o ōku kaiako nō Ngāti Kahungunu, nō Ngāi Tūhoe me Ngāti Porou hoki. I a au ka tīmata ki te ako i taku reo nei, tere tonu taku rongo i ngā rerekētanga o ngā reo o aku kaiako o Tūhoe me Ngāti Porou. He āhuatanga tērā kāore au i rongo i aku kaiako o Kahungunu nei. Koirā te wā i tīmata ai te kōrori o te tōmina o roto i au ki te rangahau i ngā momo rerekētanga ā-reo o aku tīpuna o Ngāti Kahungunu nei. Nō te tau 2010 ka kopoua ahau hai Pouarataki Reo ki Te Kaporeihana ā-Iwi o Ngāti Kahungunu. Ko taku mahi matua ko te whakatinana i te rautaki whakarauora reo Māori a Ngāti Kahungunu. Ko te whāinga matua o te rautaki i taua wā, ko te whakahoki mai i te ‘reo o Kahungunu’ hai reo kōrero mō Ngāti Kahungunu. Uaua ana ki a au tērā te whakatutuki nā taku kore i āta mārama he aha rā taua reo o Kahungunu nei. 

He ruarua rawa atu ngā kōrero mō te kaupapa nei, arā, te mita, ngā mita rānei o Ngāti Kahungunu. Koinei anō tētahi take i kaha hiahia ahau ki te rangahau i te kaupapa nei. Kai reira anō ētahi rangahau pēnei i ā Dr. Joseph Te Rito rāua ko Lee Smith, engari, kāore anō kia āta whakatauhia he aha oti te mita o Kahungunu, mehemea rānei he mita tōna, ōna rānei. Kāore anō kia āta rangahautia ngā motuhaketanga ā reo o ngā tīpuna o Ngāti Kahungunu mai i runga ki raro. Ko ētahi kua rangahau i ngā putunga kōrero ā-oro nei, ko ētahi kua rangahau i ngā kupu i roto i ngā tuhinga a ngā kaumātua, engari kāore anō tētahi rangahau kotahi kia āta tātari i ngā rerekētanga matua e toru o tēnei mea te mita, arā, ngā rerekētanga ā-wetereo, ā wetekupu, ātangi anō hoki. 

Ko te kaupapa matua o taku tuhinga nei ko: Te whakatau i te mita o Ngāti Kahungunu; tōna hītori, tōna whanaketanga me tōna ahunga whakamua. 


Ko ngā pātai mātāmua:
 He aha oti te mita o Ngāti Kahungunu – tōna hītori, tōna whanaketanga me tōna āpōpō?
 He aha te wāhi ki te mita i roto i te rautaki whakarauora reo pae tawhiti a te iwi?


Ko ngā pātai mātāmuri:
 He aha tēnei mea, te mita?
 He aha tēnei mea, te mita i roto i te reo Māori?
 Ko wai a Ngāti Kahungunu?
 He mita rānei tō Ngāti Kahungunu?
 He aha te wāhi ki te mita i roto i ngā mahere whakarauora reo?


Ko tētahi atu take nui, ko tēnei kupu, te mita. Ko ētahi e whakamahi ana i te mita hai tohu i ngā motuhaketanga ā-reo o tēnā iwi, o tēnā rohe. Ko ētahi e whakamahi ana i te reo ā-iwi, ko ētahi e whakamahi ana i te rangi o te reo. Kāore anō tētahi tangata kotahi kia āta wetewete i te kupu mita, me te wānanga āe rānei e tika ana tērā kupu mō tēnei mea te rerekētanga ā-reo o tētahi rohe, o tētahi rōpū rānei. He kupu mino te kupu mita, arā, he mea tiki ake i te reo Pākehā. E hia nei ōna whakapākehātanga. Ko tētahi mate nui ko te korenga o tētahi kupu wairua Māori nei hai kupu matua mō ngā rerekētanga ā-reo nei. Hai te upoko whakamutunga o taku tuhinga nei ahau hoatu ai i tētahi kupu hou mō te mita, arā, ko te tūreo. Ko te tikanga o te tūreo, ko ngā tūmomo rerekētanga o te reo e motuhake ana ki tētahi rōpū, ki tētahi rohe rānei. Ki te wetewetehia te kupu tūreo nei ka kitea kua honoa mai ko te ‘tū’ me te ‘reo’ kia kotahi te kupu. Ko taua ‘tū’ rā, he kupu anō mō te momo. Ka noho ko te tūreo nei hai kupu whānui mō ngā tūmomo rerekētanga ā-reo e motuhake ana ki tētahi rōpū, ki tētahi rohe rānei. Ki a au, me ruke te kupu mita ki tāhaki, ka whakamahi ai i te kupu tūreo ā muri ake nei. Ka heke mai i taua kupu ko ngā momo tūreo e rua nei – ā-pāpori me te ā-rohe. Nā, ka heke mai i aua momo tūreo e rua ko ngā wāhanga e toru e tohu ana i ngā momo rerekētanga o te reo – ā wetereo, ā-wetekupu, ā-tangi anō hoki. Kua oti nei tētahi anga mita hou hai āwhina i te hunga rangahau.

Kua oti i a au tētahi tūāpapa mō te kohinga kōrero ā-tuhi me te kohinga kōrero ā-oro. Ka noho ko aua kohinga e rua hai puna mātauranga mō ngā mahi rangahau i ngā kōrero a ngā tīpuna me kore e kitea iho ētahi tū āhuatanga ā-reo hai whakahoki mai ki te reo o ēnei wā nei. Ko te tūtohunga nui ko te waihanga i tētahi tūreo ā pāpori hou hai kinaki i te reo ā-motu nāna nei i ora ai te reo huri noa ki roto o Ngāti Kahungunu. Me waihanga tētahi tūreo hou hai tohu tuakiritanga mō Ngāti Kahungunu kia riro ai mā ētahi tū āhuatanga o tōna reo hai whakaatu atu nō Kahungunu te tangata e tū atu nei. 

E tutuki ai tēnei moemoeā me tautoko te hunga kōrero Māori katoa o Ngāti Kahungunu nei. Kai te kaupapa nei ōna anō papatoiaketanga, pēnei i te kimi i te pūtea e taea ai te utu te hunga rangahau i te kohinga kōrero. E ea ai te wawata nei, me kaha te whakaemi mai a Ngāti Kahungunu ki te tautoko i te kaupapa rangahau, ka 10 tau pea tōna roa, ā, oti rawa ake kua whai tūreo ā-pāpori hou a Ngāti Kahungunu hai kinaki i te reo ā-motu, hai tohu tuakiritanga anō hoki.

text: Te whakatau i te mita o Ngāti Kahungunu; tōna hītori, tōna whanaketanga me tōna ahunga whakamua He Whakamāramatanga

Ko Te Whanganui-a-Tara te maunga,
Ko Waingōngoro te awa,
Ko Takitimu te waka,
Ko Waimārama te marae,
Ko Taupunga te whare,
Ko Ngāti Kahungunu te iwi,
Ko Ngāti Kurukuru te hapū.

Ko te reo Māori taku reo tuarua. He mea ako ahau e ētahi o ngā tino mātanga reo o te motu. He reo takitini tōku, arā, he whenumitanga nō ngā momo reo o te motu. Ko te nuinga o ōku kaiako nō Ngāti Kahungunu, nō Ngāi Tūhoe me Ngāti Porou hoki. I a au ka tīmata ki te ako i taku reo nei, tere tonu taku rongo i ngā rerekētanga o ngā reo o aku kaiako o Tūhoe me Ngāti Porou. He āhuatanga tērā kāore au i rongo i aku kaiako o Kahungunu nei. Koirā te wā i tīmata ai te kōrori o te tōmina o roto i au ki te rangahau i ngā momo rerekētanga ā-reo o aku tīpuna o Ngāti Kahungunu nei. Nō te tau 2010 ka kopoua ahau hai Pouarataki Reo ki Te Kaporeihana ā-Iwi o Ngāti Kahungunu. Ko taku mahi matua ko te whakatinana i te rautaki whakarauora reo Māori a Ngāti Kahungunu. Ko te whāinga matua o te rautaki i taua wā, ko te whakahoki mai i te ‘reo o Kahungunu’ hai reo kōrero mō Ngāti Kahungunu. Uaua ana ki a au tērā te whakatutuki nā taku kore i āta mārama he aha rā taua reo o Kahungunu nei. 

He ruarua rawa atu ngā kōrero mō te kaupapa nei, arā, te mita, ngā mita rānei o Ngāti Kahungunu. Koinei anō tētahi take i kaha hiahia ahau ki te rangahau i te kaupapa nei. Kai reira anō ētahi rangahau pēnei i ā Dr. Joseph Te Rito rāua ko Lee Smith, engari, kāore anō kia āta whakatauhia he aha oti te mita o Kahungunu, mehemea rānei he mita tōna, ōna rānei. Kāore anō kia āta rangahautia ngā motuhaketanga ā reo o ngā tīpuna o Ngāti Kahungunu mai i runga ki raro. Ko ētahi kua rangahau i ngā putunga kōrero ā-oro nei, ko ētahi kua rangahau i ngā kupu i roto i ngā tuhinga a ngā kaumātua, engari kāore anō tētahi rangahau kotahi kia āta tātari i ngā rerekētanga matua e toru o tēnei mea te mita, arā, ngā rerekētanga ā-wetereo, ā wetekupu, ātangi anō hoki. 

Ko te kaupapa matua o taku tuhinga nei ko: Te whakatau i te mita o Ngāti Kahungunu; tōna hītori, tōna whanaketanga me tōna ahunga whakamua. 


Ko ngā pātai mātāmua:
 He aha oti te mita o Ngāti Kahungunu – tōna hītori, tōna whanaketanga me tōna āpōpō?
 He aha te wāhi ki te mita i roto i te rautaki whakarauora reo pae tawhiti a te iwi?


Ko ngā pātai mātāmuri:
 He aha tēnei mea, te mita?
 He aha tēnei mea, te mita i roto i te reo Māori?
 Ko wai a Ngāti Kahungunu?
 He mita rānei tō Ngāti Kahungunu?
 He aha te wāhi ki te mita i roto i ngā mahere whakarauora reo?


Ko tētahi atu take nui, ko tēnei kupu, te mita. Ko ētahi e whakamahi ana i te mita hai tohu i ngā motuhaketanga ā-reo o tēnā iwi, o tēnā rohe. Ko ētahi e whakamahi ana i te reo ā-iwi, ko ētahi e whakamahi ana i te rangi o te reo. Kāore anō tētahi tangata kotahi kia āta wetewete i te kupu mita, me te wānanga āe rānei e tika ana tērā kupu mō tēnei mea te rerekētanga ā-reo o tētahi rohe, o tētahi rōpū rānei. He kupu mino te kupu mita, arā, he mea tiki ake i te reo Pākehā. E hia nei ōna whakapākehātanga. Ko tētahi mate nui ko te korenga o tētahi kupu wairua Māori nei hai kupu matua mō ngā rerekētanga ā-reo nei. Hai te upoko whakamutunga o taku tuhinga nei ahau hoatu ai i tētahi kupu hou mō te mita, arā, ko te tūreo. Ko te tikanga o te tūreo, ko ngā tūmomo rerekētanga o te reo e motuhake ana ki tētahi rōpū, ki tētahi rohe rānei. Ki te wetewetehia te kupu tūreo nei ka kitea kua honoa mai ko te ‘tū’ me te ‘reo’ kia kotahi te kupu. Ko taua ‘tū’ rā, he kupu anō mō te momo. Ka noho ko te tūreo nei hai kupu whānui mō ngā tūmomo rerekētanga ā-reo e motuhake ana ki tētahi rōpū, ki tētahi rohe rānei. Ki a au, me ruke te kupu mita ki tāhaki, ka whakamahi ai i te kupu tūreo ā muri ake nei. Ka heke mai i taua kupu ko ngā momo tūreo e rua nei – ā-pāpori me te ā-rohe. Nā, ka heke mai i aua momo tūreo e rua ko ngā wāhanga e toru e tohu ana i ngā momo rerekētanga o te reo – ā wetereo, ā-wetekupu, ā-tangi anō hoki. Kua oti nei tētahi anga mita hou hai āwhina i te hunga rangahau.

Kua oti i a au tētahi tūāpapa mō te kohinga kōrero ā-tuhi me te kohinga kōrero ā-oro. Ka noho ko aua kohinga e rua hai puna mātauranga mō ngā mahi rangahau i ngā kōrero a ngā tīpuna me kore e kitea iho ētahi tū āhuatanga ā-reo hai whakahoki mai ki te reo o ēnei wā nei. Ko te tūtohunga nui ko te waihanga i tētahi tūreo ā pāpori hou hai kinaki i te reo ā-motu nāna nei i ora ai te reo huri noa ki roto o Ngāti Kahungunu. Me waihanga tētahi tūreo hou hai tohu tuakiritanga mō Ngāti Kahungunu kia riro ai mā ētahi tū āhuatanga o tōna reo hai whakaatu atu nō Kahungunu te tangata e tū atu nei. 

E tutuki ai tēnei moemoeā me tautoko te hunga kōrero Māori katoa o Ngāti Kahungunu nei. Kai te kaupapa nei ōna anō papatoiaketanga, pēnei i te kimi i te pūtea e taea ai te utu te hunga rangahau i te kohinga kōrero. E ea ai te wawata nei, me kaha te whakaemi mai a Ngāti Kahungunu ki te tautoko i te kaupapa rangahau, ka 10 tau pea tōna roa, ā, oti rawa ake kua whai tūreo ā-pāpori hou a Ngāti Kahungunu hai kinaki i te reo ā-motu, hai tohu tuakiritanga anō hoki.

year: 2021