Authors :
V.T. Salami; A.T Oga; A. Mahmoud
Volume/Issue :
Volume 7 - 2022, Issue 10 - October
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3TP8lFH
DOI :
https://doi.org/10.5281/zenodo.7332537
Abstract :
This study assessed the amount of carbon
stock in the Oyimo forest reserve in Ondo Statewith the
view to determine the above ground biomass (AGB) and
belowground biomass (BGB), estimate the organic
carbon content and evaluate the soil organic carbon
sequestered. The SDG 15.3.1 embedded in plugin
quantum geographic information system (QGIS) was the
method used to carry out the analysis. In this SDG 15.3.1
there are indicator for quantifying carbon stock and
sub-indicator to measure forest degradation. The results
showed that initial forest area was 59,413 hectares;
initial non-forest area was 245 hectares (ha), total
biomass was 3,535,543 tonnes of C, loss of carbon was
127,703 tonnes of C and total carbon emission during the
years was 468,669 tonnes of CO2e.From land cover of
soil organic carbon of sub-indicator the area with no
data was 19.01 hectares, degraded area was 18,727.849
hectares, stable area was 29,032.919 hectares and
improved area was 11,9780.2184 respectively. The
estimation of Carbon stock gives an idea about the
quantity and quality of carbon available in the area and
also how it behaves in ecosystem, where the carbon is
ultimately degraded to carbon emissions to the
atmosphere causing global warming and climate change,
which affect entire ecosystem significantly. Therefore,
Trend. Earth can be used to assess the Carbon stocks of
a given forest and also can be found as the best method
to calculate soil organic carbon (SOC) due to
measurement of carbon and degradation, low cost and
less time requirement.
Keywords :
Carbon estimation, degradation, biomass, land cover, Trend. Earth and QGIS.
This study assessed the amount of carbon
stock in the Oyimo forest reserve in Ondo Statewith the
view to determine the above ground biomass (AGB) and
belowground biomass (BGB), estimate the organic
carbon content and evaluate the soil organic carbon
sequestered. The SDG 15.3.1 embedded in plugin
quantum geographic information system (QGIS) was the
method used to carry out the analysis. In this SDG 15.3.1
there are indicator for quantifying carbon stock and
sub-indicator to measure forest degradation. The results
showed that initial forest area was 59,413 hectares;
initial non-forest area was 245 hectares (ha), total
biomass was 3,535,543 tonnes of C, loss of carbon was
127,703 tonnes of C and total carbon emission during the
years was 468,669 tonnes of CO2e.From land cover of
soil organic carbon of sub-indicator the area with no
data was 19.01 hectares, degraded area was 18,727.849
hectares, stable area was 29,032.919 hectares and
improved area was 11,9780.2184 respectively. The
estimation of Carbon stock gives an idea about the
quantity and quality of carbon available in the area and
also how it behaves in ecosystem, where the carbon is
ultimately degraded to carbon emissions to the
atmosphere causing global warming and climate change,
which affect entire ecosystem significantly. Therefore,
Trend. Earth can be used to assess the Carbon stocks of
a given forest and also can be found as the best method
to calculate soil organic carbon (SOC) due to
measurement of carbon and degradation, low cost and
less time requirement.
Keywords :
Carbon estimation, degradation, biomass, land cover, Trend. Earth and QGIS.
