Costs Of Planting Low-Carbon Ecosystems In China by Kaggle | Finance and Economics

About this Dataset

Costs Of Planting Low-Carbon Ecosystems In China

Costs of Planting Low-Carbon Ecosystems in China

Carbon Sequestration and Investment Potential

About this dataset

This dataset provides critical insights into the potential of low-carbon density ecosystems to sequester carbon in China and offers an incredible opportunity to make a tangible impact on reducing global emissions. The records within this dataset contain an impressive range of data, including yearly shrub planting area, carbon sequestration capabilities and associated costs as well as the net present value (NPV) of planting costs. This invaluable datapoint gives us essential information that can be used to correctly quantify and document our efforts towards reducing global emissions through LCDEs. With over 3,471 plants across 169 quadrants taken into account, this dataset offers an incredible foundation that can be used towards tackling the climate change effects felt around the world today. From predicting areas with higher carbon sequestration potentials to identifying cost-effective initiatives for mitigating emissions – this exciting dataset holds crucial information for achieving world-wide emission reduction goals!

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How to use the dataset

This dataset provides a wealth of information about the potential of low-carbon density ecosystems in China to sequester carbon. To utilize this data, one can follow these simple steps:

Understand the basic features of the dataset, including yearly shrub planting area (in hectares), carbon sequestration (NUMBER in tonnes per hectare), planting costs per hectare and net present value (NPV) planting costs per ha).

Analyze the various columns to assess the financial performance of LCDEs. Consider evaluating the cost of planting by plotting a graph that shows year vs NPV orplanting cost per ha, for example.

Study different trends in LCDEs over time to help identify opportunities for investment and expansion into new markets or products on a national or regional level. For example, you may observe that there is an increased demand for certain varieties of plants over time and/or higher returns on particular areas within a nation or region due to their greater carbon sequestration potential than others.

4 .Determine your objectives when it comes to investing in LCDEs based on your findings from steps 2 and 3 above - whether they are focused more towards financial gain or environmental sustainability objectives such as reducing emissions and improving air quality through carbon sequestration activities..

5 Lastly, calculate the estimated Costs of Planting using factors such as NPVto determine how much you need to invest into your low-carbon density ecosystem project overall - while still achieving maximum returns on investment!

Research Ideas

Utilize the carbon sequestration rate and costs of planting data to identify potential areas with the most cost-effective and high potential for carbon sequestration in China.

Analyze the total costs of planting over time and determine a suitable timeframe in which investments into various LCDEs may yield promising returns in terms of carbon sequestration.

Research correlations between plant variety density, climate, soil type, elevation, etc., with respect to both carbon-sequestering capacity as well as relative ease/cost-efficiency of implementation for large-scale deforestation prevention efforts throughout different areas in China

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: carbon_sink_and_costs_for_dryad.csv

Column name	Description
Year	Year of the data record. (Integer)
Shrub planting area	Total area covered by shrubs in hectares for that particular quadrant for that particular year. (Float)
Carbon sequestration	Amount of carbon sequestered in tonnes per hectare from LCDEs from this quadrant. (Float)
Planting costs per ha	Cost incurred to plant LCDEs in a particular quadrant on a per hectare basis. (Float)
NPV planting costs per ha	Net present value on cost for each hectare based on assumptions about future conditions such as inflation and opportunity cost. (Float)
Costs of planting	Total cost associated with getting LCDE planted in this area over all years indicated under “Year” column across all quadrants. (Float)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Carbon Sink And Costs For Dryad

@kaggle.thedevastator_costs_of_planting_low_carbon_ecosystems_in_china.carbon_sink_and_costs_for_dryad

5.51 KB
8 rows
6 columns


CREATE TABLE carbon_sink_and_costs_for_dryad (
  "year" BIGINT,
  "shrub_planting_area" DOUBLE,
  "carbon_sequestration" DOUBLE,
  "planting_costs_per_ha" DOUBLE,
  "npv_planting_costs_per_ha" DOUBLE,
  "costs_of_planting" DOUBLE
);