Spatial variation in radiata pine height productivity

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649
34
Updated
03 Jun 2022

This dataset was last updated on Koordinates on 03 Jun 2022.

Scion’s spatial projections of the height productivity of radiata pine (Pinus radiata) developed at a 25 m resolution. Height productivity is displayed as Site Index (units are metres) which is the mean top height at age 20 years, where mean top height is defined as the mean height of the 100 largest trees, by diameter. Using a national dataset (n = 3,676 plots) a regression kriging model (multiple regression and kriging of the residuals) was used to predict Site Index from environmental surfaces and this model was used to produce the displayed map. A validation undertaken on a test dataset not used for model fitting showed the model of Site Index has a coefficient of determination (_R_2) of 0.80, an RMSE of 2.08 m, and a percentage RMSE of 6.9%. A detailed description of the modelling methods and results is given in Watt et al. (2021). The displayed spatial projections masked large lakes and a forest located in the central North Island.

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. These surfaces were derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of Site Index are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Palmer, D.J., Leonardo, E.M.C, Bombrun, M. (2021) Use of advanced modelling methods to estimate radiata pine productivity indices. Forest Ecology and Management, 479, 118557.

Layer ID 108095
Data type Grid
Resolution 25.000m
Services Raster Query API

Redwood Productivity Surface - 300 Index

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

1014
57
Updated
16 May 2022

This dataset was last updated on Koordinates on 16 May 2022.

Scion’s spatial projections of the volume productivity of coast redwood (Sequoia sempervirens) developed at a 25 m resolution. The displayed productivity is defined by the 300 Index which is the mean annual volume increment at age 30 normalised to a stand density of 300 stems/ha, with units of m3/ha/yr. Using a national dataset (n = 130 observations) a multiple regression model was used to predict 300 Index from environmental surfaces and this model was used to produce the displayed map.

The displayed projection of 300 Index assumes a planting date of 2000 AD. Stands established after this date are likely to have higher productivity. Although the plots used for model development were reasonably well distributed throughout New Zealand there were no plots located on the west coast of the South Island. As this region has a unique climate, with very high rainfall and low fertility, predictions in this region should be treated with caution. The displayed spatial projection masked large lakes.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. This surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of 300 Index are reduced by 15% when applied to standard forestry sites.

For a detailed description of the methodology please refer to:

Watt, M.S., Kimberley, M.O., Rapley, S., Webster, R. (2021) Comparing volume productivity of redwood and radiata pine plantations in New Zealand. Forest Ecology and Management 500, 119628.

Layer ID 105758
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in radiata pine volume productivity

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

813
43
Updated
03 Jun 2022

This dataset was last updated on Koordinates on 03 Jun 2022.

Scion’s spatial projections of the volume productivity of radiata pine (Pinus radiata) developed at a 25 m resolution. The displayed productivity is defined by the 300 Index which is the mean annual volume increment at age 30 normalised to a stand density of 300 stems/ha, with units of m3/ha/yr. Using a national dataset (n = 3,676 plots) a regression kriging model (multiple regression and kriging of the residuals) was used to predict 300 Index from environmental surfaces and this model was used to produce the displayed map. A validation undertaken on a test dataset not used for model fitting showed the model of 300 Index has a coefficient of determination (R2) of 0.68, an RMSE of 3.45 m3/ha/yr, and a percentage RMSE of 12.6%. A detailed description of the modelling methods and results is given in Watt et al. (2021). The displayed spatial projections masked large lakes and a forest located in the central North Island.

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. These surfaces were derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of 300 Index are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Palmer, D.J., Leonardo, E.M.C, Bombrun, M. (2021) Use of advanced modelling methods to estimate radiata pine productivity indices. Forest Ecology and Management, 479, 118557.

Layer ID 107990
Data type Grid
Resolution 25.000m
Services Raster Query API

Redwood Carbon Surface – age 40, medium Stocking

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

652
19
Updated
16 May 2022

This dataset was last updated on Koordinates on 16 May 2022.

Scion’s spatial projections of the total carbon (expressed as tonnes CO2/ha) for coast redwood (Sequoia sempervirens) developed at a 25 m resolution. The displayed surface is for 40-year-old stands with a medium stand density (650 stems/ha). As described in Watt and Kimberley (2022a), productivity was determined using a stand level carbon prediction model that utilised geospatial surfaces of redwood productivity (300 Index, Site Index) to scale the predictions. Although the plots used for the underlying model development were reasonably well distributed throughout New Zealand, there were no plots located on the west coast of the South Island. As this region has a unique climate, with very high rainfall and low fertility, predictions in this area should be treated with caution. The displayed spatial projection masked large lakes.

A description of the methods and results is given in Watt and Kimberley (2022a) and the displayed carbon surface is included in this paper as Figure 1e. A more detailed description of the methods that includes a validation (but shows projections as elemental carbon rather than CO2 equivalents) is given in Watt and Kimberley (2022b).

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. This surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented carbon values are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Kimberley, M. O. (2022a). Comparing regional variation in carbon sequestration for radiata pine and redwood throughout New Zealand. New Zealand Journal of Forestry, 67 (1) 12 – 21.

Watt, M.S., Kimberley, M. O. (2022b) Spatial comparisons of carbon sequestration for redwood and radiata pine within New Zealand. Forest Ecology and Management 513, 120190.

Layer ID 107479
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in radiata pine carbon – age 30, medium stocking

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

496
15
Added
09 Jun 2022

This dataset was first added to Koordinates on 09 Jun 2022.

Scion’s spatial projection of the carbon productivity of radiata pine (Pinus radiata) at age 30 for stands at a medium stocking typical of a structural grade regime (650 stems/ha). The displayed surface has a 25 m resolution. Total carbon productivity, which includes the below ground component, is displayed in CO2 equivalents with units of tonnes CO2/ha. Predictions of carbon were made using a stand level carbon model (Forest Carbon Predictor Version 5.1) and C_Change which is a model that determines allocation of carbon to different biomass components. These predictions were then spatially scaled using air temperature and geospatial productivity surfaces (300 Index, Site Index). The displayed spatial projection masked large lakes and a forest located in the central North Island.

A description of the methods and results is given in Watt et al. (2022a) and the displayed carbon surface is included in this paper as Figure 2b. A more detailed description of the methods that includes a validation (but shows projections as elemental carbon rather than CO2 equivalents) is given in Watt et al. (2022b).

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. The surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of total carbon are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Kimberley, M. O. (2022a). Comparing regional variation in carbon sequestration for radiata pine and redwood throughout New Zealand. New Zealand Journal of Forestry, 67 (1) 12 – 21.

Watt, M.S., Kimberley, M. O. (2022b) Spatial comparisons of carbon sequestration for redwood and radiata pine within New Zealand. Forest Ecology and Management 513, 120190.

Layer ID 108363
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in radiata pine carbon – age 30, high stocking

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

439
8
Added
09 Jun 2022

This dataset was first added to Koordinates on 09 Jun 2022.

Scion’s spatial projection of the carbon productivity of radiata pine (Pinus radiata) at age 30 for stands at a high stocking typical of a carbon regime (900 stems/ha). The displayed surface has a 25 m resolution. Total carbon productivity, which includes the below ground component, is displayed in CO2 equivalents with units of tonnes CO2/ha. Predictions of carbon were made using a stand level carbon model (Forest Carbon Predictor Version 5.1) and C_Change which is a model that determines allocation of carbon to different biomass components. These predictions were then spatially scaled using air temperature and geospatial productivity surfaces (300 Index, Site Index). The displayed spatial projection masked large lakes and a forest located in the central North Island.

A description of the methods and results is given in Watt et al. (2022a) and the displayed carbon surface is included in this paper as Figure 2c. A more detailed description of the methods that includes a validation (but shows projections as elemental carbon rather than CO2 equivalents) is given in Watt et al. (2022b).

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. The surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of total carbon are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Kimberley, M. O. (2022a). Comparing regional variation in carbon sequestration for radiata pine and redwood throughout New Zealand. New Zealand Journal of Forestry, 67 (1) 12 – 21.

Watt, M.S., Kimberley, M. O. (2022b) Spatial comparisons of carbon sequestration for redwood and radiata pine within New Zealand. Forest Ecology and Management 513, 120190.

Layer ID 108362
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in redwood Site Index

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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

381
5
Added
11 Jul 2022

This dataset was first added to Koordinates on 11 Jul 2022.

Scion’s spatial projections of the height productivity of coast redwood (Sequoia sempervirens) developed at a 25 m resolution. Height productivity is displayed as Site Index (units are metres) which is the mean top height at age 30 years, where mean top height is defined as the mean height of the 100 largest trees, by diameter. Using a national dataset (n = 130 observations) a multiple regression model was used to predict Site Index from environmental surfaces and this model was used to produce the displayed map.

The displayed projection of Site Index assumes a planting date of 2000 AD. Stands established after this date are likely to have higher productivity. Although the plots used for model development were reasonably well distributed throughout New Zealand there were no plots located on the west coast of the South Island. As this region has a unique climate, with very high rainfall and low fertility, predictions in this region should be treated with caution. The displayed spatial projection masked large lakes.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. This surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of Site Index are reduced by 15% when applied to standard forestry sites.

Layer ID 109623
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in radiata pine carbon – age 40, medium stocking

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

468
12
Added
09 Jun 2022

This dataset was first added to Koordinates on 09 Jun 2022.

Scion’s spatial projection of the carbon productivity of radiata pine (Pinus radiata) at age 40 for stands at a medium stocking typical of a structural grade regime (650 stems/ha). The displayed surface has a 25 m resolution. Total carbon productivity, which includes the below ground component, is displayed in CO2 equivalents with units of tonnes CO2/ha. Predictions of carbon were made using a stand level carbon model (Forest Carbon Predictor Version 5.1) and C_Change which is a model that determines allocation of carbon to different biomass components. These predictions were then spatially scaled using air temperature and geospatial productivity surfaces (300 Index, Site Index). The displayed spatial projection masked large lakes and a forest located in the central North Island.

A description of the methods and results is given in Watt et al. (2022a) and the displayed carbon surface is included in this paper as Figure 2e. A more detailed description of the methods that includes a validation (but shows projections as elemental carbon rather than CO2 equivalents) is given in Watt et al. (2022b).

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. The surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of total carbon are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Kimberley, M. O. (2022a). Comparing regional variation in carbon sequestration for radiata pine and redwood throughout New Zealand. New Zealand Journal of Forestry, 67 (1) 12 – 21.

Watt, M.S., Kimberley, M. O. (2022b) Spatial comparisons of carbon sequestration for redwood and radiata pine within New Zealand. Forest Ecology and Management 513, 120190.

Layer ID 108361
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in radiata pine carbon – age 50, medium stocking

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

358
9
Added
09 Jun 2022

This dataset was first added to Koordinates on 09 Jun 2022.

Scion’s spatial projection of the carbon productivity of radiata pine (Pinus radiata) at age 50 for stands at a medium stocking typical of a structural grade regime (650 stems/ha). The displayed surface has a 25 m resolution. Total carbon productivity, which includes the below ground component, is displayed in CO2 equivalents with units of tonnes CO2/ha. Predictions of carbon were made using a stand level carbon model (Forest Carbon Predictor Version 5.1) and C_Change which is a model that determines allocation of carbon to different biomass components. These predictions were then spatially scaled using air temperature and geospatial productivity surfaces (300 Index, Site Index). The displayed spatial projection masked large lakes and a forest located in the central North Island.

A description of the methods and results is given in Watt et al. (2022a) and the displayed carbon surface is included in this paper as Figure 2h. A more detailed description of the methods that includes a validation (but shows projections as elemental carbon rather than CO2 equivalents) is given in Watt et al. (2022b).

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. The surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of total carbon are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Kimberley, M. O. (2022a). Comparing regional variation in carbon sequestration for radiata pine and redwood throughout New Zealand. New Zealand Journal of Forestry, 67 (1) 12 – 21.

Watt, M.S., Kimberley, M. O. (2022b) Spatial comparisons of carbon sequestration for redwood and radiata pine within New Zealand. Forest Ecology and Management 513, 120190.

Layer ID 108360
Data type Grid
Resolution 25.000m
Services Raster Query API

Spatial variation in radiata pine carbon – age 30, low stocking

Licence

Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

You may not use this work for commercial purposes.

You must attribute the creator in your own works.

You must not release derivatives of this work.

429
10
Added
09 Jun 2022

This dataset was first added to Koordinates on 09 Jun 2022.

Scion’s spatial projection of the carbon productivity of radiata pine (Pinus radiata) at age 30 for stands at a low stocking typical of a clearwood regime (400 stems/ha). The displayed surface has a 25 m resolution. Total carbon productivity, which includes the below ground component, is displayed in CO2 equivalents with units of tonnes CO2/ha. Predictions of carbon were made using a stand level carbon model (Forest Carbon Predictor Version 5.1) and C_Change which is a model that determines allocation of carbon to different biomass components. These predictions were then spatially scaled using air temperature and geospatial productivity surfaces (300 Index, Site Index). The displayed spatial projection masked large lakes and a forest located in the central North Island.

A description of the methods and results is given in Watt et al. (2022a) and the displayed carbon surface is included in this paper as Figure 2a. A more detailed description of the methods that includes a validation (but shows projections as elemental carbon rather than CO2 equivalents) is given in Watt et al. (2022b).

We are grateful to the forestry companies with radiata pine permanent sample plots who granted permission to use this dataset for constructing the displayed map. The New Zealand Strategic Science Investment Fund (SSIF) was used to fund this project.

The presented surface is intended only as a guide for afforestation and growers should take into account the impact of microsite when choosing an appropriate species. The surface was derived from permanent sample plot data, which typically comprise plots of well managed trees, that do not have any unstocked areas and are sited away from exposed ridges. Consequently, we recommend that presented values of total carbon are reduced by 15% when applied to standard forestry sites.

Watt, M.S., Kimberley, M. O. (2022a). Comparing regional variation in carbon sequestration for radiata pine and redwood throughout New Zealand. New Zealand Journal of Forestry, 67 (1) 12 – 21.

Watt, M.S., Kimberley, M. O. (2022b) Spatial comparisons of carbon sequestration for redwood and radiata pine within New Zealand. Forest Ecology and Management 513, 120190.

Layer ID 108359
Data type Grid
Resolution 25.000m
Services Raster Query API
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