Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park
This study was carried out to investigate the spatial variability of litter carbon storage and its sequestration in the soil layers in the forested area of Jahannama Park. First, 115 soil samples were taken from 0-15, 15-30, and 30-50 cm depths using the grid-transect sampling method. After the dete...
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Iranian Society of Forestry
2020-11-01
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doaj-b2e99a614bac4077bfa67de3e3c671c82021-05-04T09:32:44ZfasIranian Society of Forestryمجله جنگل ایران2008-61132423-44352020-11-01123317330120267Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama ParkR. Porrostami0G. Zahedi Amiri1V. Etemad2Ph.D Student of Forestry, Faculty of Natural Resources, University of Tehran, Karaj, I. R. IranProf. of Forestry, Faculty of Natural Resources, University of Tehran, Karaj, I. R. IranAssociate Prof. of Forestry, Faculty of Natural Resources, University of Tehran, Karaj, I. R. IranThis study was carried out to investigate the spatial variability of litter carbon storage and its sequestration in the soil layers in the forested area of Jahannama Park. First, 115 soil samples were taken from 0-15, 15-30, and 30-50 cm depths using the grid-transect sampling method. After the determination of the percentage of organic carbon, the geostatistical methods (simple kriging, ordinary kriging and inverse distance weighting methods) were used to investigate the spatial variability of carbon percentage in the non-sampled locations. The cross-validation method was used to evaluate the accuracy of the results using MARE, MBE, and RMSE statistical criteria. The results showed that the carbon content in the first two depths had a Gaussian variogram model and, in the third depth, was exponential. Nugget effect and spatial structure of carbon percentage in the first, second and third depths were 0.001%, 0.999%, 0.0045%, 0.966%, 0.0058%, and 0.956%, respectively, which shows the less nugget effect and good spatial structure of carbon in both the surface and the deep layers. Low estimation error showed that ordinary kriging was able to make the correct estimation for all of the depths. Considering the objectives of this study, in an area, about 36 hectares with a dense sampling network (115 soil profiles) with different tree stands, on average, 68.5 tons carbon sequestration per hectare has been estimated to a depth of 50 cm which is a total of 2470 tons of carbon sequestration in this area. The sampling strategy in this study to estimate the soil carbon sequestration in afforestation can be a good model for other similar areas.http://www.ijf-isaforestry.ir/article_120267_54f67de2bc579b4e8e911129acc6f5c7.pdfforest soilgeostatisticsgrid- transect samplingkriging |
collection |
DOAJ |
language |
fas |
format |
Article |
sources |
DOAJ |
author |
R. Porrostami G. Zahedi Amiri V. Etemad |
spellingShingle |
R. Porrostami G. Zahedi Amiri V. Etemad Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park مجله جنگل ایران forest soil geostatistics grid- transect sampling kriging |
author_facet |
R. Porrostami G. Zahedi Amiri V. Etemad |
author_sort |
R. Porrostami |
title |
Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park |
title_short |
Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park |
title_full |
Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park |
title_fullStr |
Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park |
title_full_unstemmed |
Spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of Jahannama Park |
title_sort |
spatial variability of carbon storage and sequestration in leaf litter and layers of soil in the forest area of jahannama park |
publisher |
Iranian Society of Forestry |
series |
مجله جنگل ایران |
issn |
2008-6113 2423-4435 |
publishDate |
2020-11-01 |
description |
This study was carried out to investigate the spatial variability of litter carbon storage and its sequestration in the soil layers in the forested area of Jahannama Park. First, 115 soil samples were taken from 0-15, 15-30, and 30-50 cm depths using the grid-transect sampling method. After the determination of the percentage of organic carbon, the geostatistical methods (simple kriging, ordinary kriging and inverse distance weighting methods) were used to investigate the spatial variability of carbon percentage in the non-sampled locations. The cross-validation method was used to evaluate the accuracy of the results using MARE, MBE, and RMSE statistical criteria. The results showed that the carbon content in the first two depths had a Gaussian variogram model and, in the third depth, was exponential. Nugget effect and spatial structure of carbon percentage in the first, second and third depths were 0.001%, 0.999%, 0.0045%, 0.966%, 0.0058%, and 0.956%, respectively, which shows the less nugget effect and good spatial structure of carbon in both the surface and the deep layers. Low estimation error showed that ordinary kriging was able to make the correct estimation for all of the depths. Considering the objectives of this study, in an area, about 36 hectares with a dense sampling network (115 soil profiles) with different tree stands, on average, 68.5 tons carbon sequestration per hectare has been estimated to a depth of 50 cm which is a total of 2470 tons of carbon sequestration in this area. The sampling strategy in this study to estimate the soil carbon sequestration in afforestation can be a good model for other similar areas. |
topic |
forest soil geostatistics grid- transect sampling kriging |
url |
http://www.ijf-isaforestry.ir/article_120267_54f67de2bc579b4e8e911129acc6f5c7.pdf |
work_keys_str_mv |
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