scholarly journals CARBON STOCKS IN MINED AREA RECLAIMED BY LEGUMINOUS TREES AND SLUDGE

2018 ◽  
Vol 41 (6) ◽  
Author(s):  
Fabiano de Carvalho Balieiro ◽  
Carolina Araújo Costa ◽  
Raphael Braga de Oliveira ◽  
Rafaela de Oliveira ◽  
Guilherme Kangussu Donagemma ◽  
...  
Keyword(s):  
Sewage Sludge ◽  
Tree Species ◽  
Carbon Stock ◽  
Basal Area ◽  
C Sequestration ◽  
Soil Carbon Stock ◽  
Legume Trees ◽  
Small Influence ◽  
Short Period ◽  
Janeiro State

ABSTRACT Few studies have been carried out on aboveground (or belowground) and soil/substrate C accumulation in severely degraded areas, such as mined areas. The present study was developed in order to find a recovery strategy for a mined area and characterize its potential for C sequestration by planting two nitrogen-fixing Brazilian tree species (Mimosa caesalpiniifolia Benth and M. bimucronata (DC.) O. Kuntze). Sewage sludge was included in the experimental design. An experiment under randomized block condition and 2 x 5 factorial design with four replications were defined and carried out, in Rio de Janeiro State, Brazil. The treatments consisted of a combination of both tree species and five sewage sludge doses (0, 2.85; 5.70; 11.40 and 22.80 Mg ha-1). M. caesalpiniifolia grows better (p<0.05) in reclaimed areas than M. bimucronata, even though neither the height nor the basal area of both species responded to the sludge application. Carbon stock in the tree trunks differ between species (27.3 and 14.3 Mg ha-1, for M. caesalpinifolia and M. bimucronata, respectively), and was influenced by the doses of sewage sludge, whereas the soil carbon stock (0-10 cm) did not differ between species and doses (12.0 and 12.2 Mg ha-1, for M. caesalpiniifolia and M. bimucronata, respectively). Soil fertility in the degraded site was found to be improved by legume trees six years after planting, with a small influence of the sewage sludge level. Mined areas recovered with legume trees can sequestrate significant amounts of C both in aboveground biomass and soil in a short period of time.

scholarly journals Estimation of Ecosystem Carbon Stock and Tree Species Diversity at National Botanical Garden, Dhaka, Bangladesh

2019 ◽  
pp. 1-11
Author(s):  
Md. Delwar Hossain ◽  
Md. Ehsanul Haq ◽  
Manna Salwa ◽  
Md. Nazmul Islam Shekh ◽  
Aisha Siddika ◽  
...  
Keyword(s):  
Species Diversity ◽  
Organic Carbon ◽  
Tree Species ◽  
Carbon Stock ◽  
Basal Area ◽  
Botanical Garden ◽  
Mean Value ◽  
Biomass Carbon ◽  
Tree Species Diversity ◽  
Ecosystem Carbon

The study was conducted from January to April 2018 to estimate ecosystem carbon stock and tree species diversity at National Botanical Garden, Bangladesh. Transects line method square plots with a size of 20 m × 20 m were used. So altogether there were total eighty-three sample plots in National Botanical Garden. Above ground carbon (AGC) and below ground carbon (BGC) biomass stock was 192.67 and 31.34, respectively and soil organic carbon mean value of 27.52 Mg ha-1, 21.45 Mg ha-1 and 16.23 Mg ha-1, respectively for 0-10 cm depth, 10-20 cm and 20-30 cm depth. The average number of tree species per hectare was 128 with a mean value of each plot 3.00 to 9.00 species. The average number of trees in National Botanical Garden (233 tree ha-1), basal area (21.45 m2 ha-1) and mean DBH (39.86 cm). Tree diversity range from 0.25 to 1.86 and the mean value of (0.93 ± 0.14) in National Botanical Garden. A relationship such as biomass carbon with the basal area, mean DBH, stem density and tree diversity were estimated. Among these, the relationship between basal area and biomass carbon showed positive significant correlation. Therefore, the results of the study confirmed that the selected botanical garden can serve as a valuable ecological tool in terms of carbon sequestration, diverse tree species and storage of soil organic carbon.

scholarly journals Linking Forest Vegetation and Soil Carbon Stock in Northwestern Russia

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 979
Author(s):  
Natalia Lukina ◽  
Anastasia Kuznetsova ◽  
Elena Tikhonova ◽  
Vadim Smirnov ◽  
Maria Danilova ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Tree Species ◽  
Carbon Stock ◽  
Carbon Stocks ◽  
Ground Vegetation ◽  
Vegetation Composition ◽  
Soil Carbon Stock ◽  
Soil Carbon Stocks ◽  
Northwestern Russia ◽  
Birch Forests

Research Highlights: It was found that both tree species and ground vegetation affected soil carbon stock in boreal forests. Carbon stocks in the mineral layers were related negatively to the C/N ratio in the organic horizon and pine proportion in the growing stock volume, and positively to the share of herbaceous plants and the proportion of spruce. Background and Objectives: Existing research showed the effects of tree species on soil carbon stocks in organic horizons, but these effects were less clear in mineral horizons. Little is known about the effects of ground vegetation on soil carbon stock. This study aims to identify associations between the forest vegetation composition and soil carbon stocks in northwestern Russia. Materials and Methods: Research data from 109 pine, spruce and birch forests of different Cajander’s and Sukachev’s types with different functional compositions of ground vegetation at autonomous positions are discussed in this paper. The V-test was used to assess the impact of vegetation on soil carbon stocks. Results: Variations in Carbon stocks in the mineral layers were associated with the soil types and vegetation composition. Carbic Albic Podzols accumulated the least amount of carbon in the mineral profile. Carbon stock in the mineral layers in pine forests was considerably lower than in spruce and birch forests. Spruce forests with the highest share of herbaceous plants were characterised by the highest carbon stocks in the mineral layers, while pine forests with dwarf shrubs and green mosses accumulated more carbon in the organic layers, but carbon stocks in the mineral layers here were the lowest. Conclusions: Differences in soil carbon stocks between and within northern and middle taiga in northwestern Russia were associated not only with soil types but also with the proportions of forest types dominated by different tree species and ground vegetation functional groups.

Comparative study of C sequestration by new forests on former pasture lands

1995 ◽  
Vol 60 ◽  
Author(s):  
N. Lust ◽  
N. Van Camp ◽  
B. Muys ◽  
L. Nachtergale
Keyword(s):  
Comparative Study ◽  
Tree Species ◽  
Basal Area ◽  
C Sequestration ◽  
The Other ◽  
Forest Stands ◽  
Soil Humus ◽  
Young Forest ◽  
The One

The  research compares the C sequestration of on the one hand an old pasture and  on the other hand two young forest stands, planted on former pasture lands.  The stands are respectively ash and pin oak stands, planted 27 and 26 years  ago, with a basal area of 21.3 m2 and 13.10 m2.    C-content was assessed, based upon Hohenadl's model trees, for all  compartments. The total C-content of the pasture land presently amounts to  128 t/ha, whereas it reaches respectively 173 t/ha and 118 t/ha for the ash  and pin oak stands. The soils of the forest stands contain respectively 74  and 50 t carbon/ha. So, remarkable changes occurred in the C quantity and  allocation by the afforestation. Afforestation of a rich pasture leads in the  first phase to a noticeable decrease of the C content in the soil. The C  content of the A1 horizon is significantly greater in the pasture than in the  young forest stands.     Nevertheless afforestation of a pasture considerably increases, already  after 25 years, the C sequestration of the ecosystem, provided the used tree  species are suitable, i.e. they should be fast growing and produce a good  quality litter. This way, not only the aboveground C accumulation is useful,  but also the quantity and the quality of the soil humus. Research on the  evolution of the C sequestration after afforestation of agricultural lands  deserves priority.

scholarly journals VEGETASI POHON DAN PERSEBARANNYA DI TAMAN WISATA ALAM GUNUNG TUNAK DAN HUTAN KERAMAT, MANDALIKA, LOMBOK TENGAH, PROVINSI NUSA TENGGARA BARAT

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Muhammad Mansur
Keyword(s):  
Tree Species ◽  
Co2 Sequestration ◽  
Carbon Stock ◽  
Diversity Index ◽  
Similarity Index ◽  
Basal Area ◽  
Importance Value Index ◽  
Importance Value ◽  
Trunk Diameter ◽  
Plot Area

The study was conducted on March 2018 in two locations study, i.e. Mount Tunak Nature Tourism Park (NTP) (6400 m2 plot area) and Keramat Forest (4800 m2 plot area), Central Lombok District, West Nusa Tenggara Province. The objective of the study was to find out the diversity of tree species and its distribution which can be used for forest area management by the local government and can support the establishment of a Special Economic Region in Mandalika as a place for conservation, research, education and scientific tourism. In the total plot of 1.12 hectare, we recorded 1560 individuals, representing 56 species,  47 genera  and 19 families. All stems ≥ 5 cm in diameter were measured and identified. In the plot of Mt. Tunak NTP, we recorded 992 individuals, representing 41 species, basal area was 11.4 m2, 31.7 m3of estimated bole volume, 78.3 tons biomass, 39.2 tons carbon stock and 143.7 tons CO2 sequestration. Five dominant tree species (trunk diameter ≥ 5 cm) recorded with the highest Importance Value Index (IVI) were Aglaia argentea (IVI= 34.3%), Schoutenia ovata (IVI= 33.3%), Drypetes neglecta (IVI= 25.4%), Glycosmis pentaphylla (IVI= 16.4%) and Grewia koordersiana (IVI= 14.9%). The level of diversity of tree species in the Mt. Tunak NTP was classified into a midle level with a Diversity Index (H')= 3.3, while in the Keramat Forest we recorded 568 individuals, representing 37 species, basal area was 19.9 m2, 51.1 m3 of estimated bole volume, 149.8 tons biomass, 74.9 tons carbon stock and 274.9 tons CO2 sequestration. Five dominant tree species were recorded; Dalbergia latifolia (IVI= 69.4%), Grewia koordersiana (IVI= 34.5%), Schoutenia ovata (IVI= 34.3%), Cupaniopsis macropetala (IVI= 18.2%) and Rhus succedanea (IVI= 14.2%). The level of diversity recorded (H')= 2.9 and classified as midle level. The composition of vegetation in Mt.Tunak NTP and Keramat Forest is different (Jaccard Similarity Index was 39.3%).    

Floristic Variation of Tree Communities and Their Association with Soil Properties in Pulau Jerejak, Penang, Peninsular Malaysia

2020 ◽  
Vol 14 (1) ◽  
pp. 34
Author(s):  
Faezah Pardi
Keyword(s):  
Tree Species ◽  
Diversity Index ◽  
Basal Area ◽  
Peninsular Malaysia ◽  
Importance Value ◽  
Conservation Action ◽  
Endangered Tree ◽  
Endangered Tree Species ◽  
Tree Communities ◽  
Floristic Variation

This study was conducted at Pulau Jerejak, Penang to determine the floristic variation of its tree communities. A 0.5-hectare study plot was established and divided into 11 subplots. A total of 587 trees with diameter at breast height (DBH) of 5 cm and above were measured, identified and recorded. The tree communities comprised of 84 species, 63 genera and 32 families. The Myrtaceae was the most speciose family with 10 recorded species while Syzgium glaucum (Myrtaceae) was the most frequent species. The Myrtaceae recorded the highest density of 306 individuals while Syzgium glaucum (Myrtaceae) had the highest species density of 182 individuals. Total tree basal area (BA) was 21.47 m2/ha and family with the highest BA was Myrtaceae with 5.81 m2/ha while at species level, Syzgium glaucum (Myrtaceae) was the species with the highest total BA in the plot with value of 4.95 m2/ha. The Shannon˗Weiner Diversity Index of tree communities showed a value of 3.60 (H'max = 4.43) and Evenness Index of 0.81 which indicates high uniformity of tree species. The Margalef Richness Index (R') revealed that the tree species richness was 13.02. Myrtaceae had the highest Importance Value of 20.4%. The Canonical Correspondence Analysis (CCA) showed that Diospyros buxifolia (Ebenaceae) and Pouteria malaccensis (Sapotaceae) were strongly correlated to low pH. Dysoxylum cauliflorum (Meliaceae) and Eriobotrya bengalensis (Rosaceae) were correlated to phosphorus (P) and calcium ion (Ca2+), respectively. Therefore, the trees species composition at Pulau Jerejak showed that the biodiversity is high and conservation action should be implemented to protect endangered tree species. Keywords: Floristic variation; Tree communities; Trees composition; Pulau Jerejak; Species diversity

Live tree species basal area of the contiguous United States (2000-2009)

2013 ◽  
Author(s):  
Barry T. Wilson ◽  
Andrew J. Lister ◽  
Rachel I. Riemann ◽  
Douglas M. Griffith
Keyword(s):  
United States ◽  
Tree Species ◽  
Basal Area ◽  
Live Tree

Contribution to the automation of the calculations involving the forest inventory with the aid of an office computer

1970 ◽  
Vol 20 ◽  
Author(s):  
R. Goossens
Keyword(s):  
Tree Species ◽  
Forest Inventory ◽  
Basal Area ◽  
Annual Increment ◽  
Mixed Stands ◽  
Mean Values ◽  
Standing Trees ◽  
General Program ◽  
Magnetic Card ◽  
The Right

Contribution to the automation of the calculations involving  the forest inventory with the aid of an office computer - In this contribution an attempt was made to perform the  calculations involving the forest inventory by means of an office computer  Olivetti P203.     The general program (flowchart 1), identical for all tree species except  for the values of the different parameters, occupies the tracks A and B of a  magnetic card used with this computer. For each tree species one magnetic  card is required, while some supplementary cards are used for the  subroutines. The first subroutine (flowchart 1) enables us to preserve  temporarily the subtotals between two tree species (mixed stands) and so  called special or stand cards (SC). After the last tree species the totals  per ha are calculated and printed on the former, the average trees occuring  on the line below. Appendix 1 gives an example of a similar form resulting  from calculations involving a sampling in a mixed stand consisting of Oak  (code 11), Red oak (code 12), Japanese larch (code 24) and Beech (code 13).  On this form we find from the left to the right: the diameter class (m), the  number of trees per ha, the basal area (m2/ha), the current annual increment  of the basal area (m2/year/ha), current annual volume increment (m3/year/ha),  the volume (m3/ha) and the money value of the standing trees (Bfr/ha). On the  line before the last, the totals of the quantities mentioned above and of all  the tree species together are to be found. The last line gives a survey of  the average values dg, g, ig, ig, v and w.     Besides this form each stand or plot has a so-called 'stand card SC' on  wich the totals cited above as well as the area of the stand or the plot and  its code are stored. Similar 'stand card' may replace in many cases  completely the classical index cards; moreover they have the advantage that  the data can be entered directly into the computer so that further  calculations, classifications or tabling can be carried out by means of an  appropriate program or subroutine. The subroutine 2 (flowchart 2) illustrates  the use of similar cards for a series of stands or eventually a complete  forest, the real values of the different quantities above are calculated and  tabled (taking into account the area). At the same time the general totals  and the general mean values per ha, as well as the average trees are  calculated and printed. Appendix 2 represents a form resulting from such  calculations by means of subroutine 2.

Soil carbon stock estimations: methods and a case study of the Maranhão State, Brazil

2021 ◽  
Author(s):  
Telmo José Mendes ◽  
Diego Silva Siqueira ◽  
Eduardo Barretto de Figueiredo ◽  
Ricardo de Oliveira Bordonal ◽  
Mara Regina Moitinho ◽  
...  
Keyword(s):  
Soil Carbon ◽  
Carbon Stock ◽  
Soil Carbon Stock

scholarly journals Mapping the Urban Atmospheric Carbon Stock by LiDAR and WorldView-3 Data

Forests ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 692
Author(s):  
MD Abdul Mueed Choudhury ◽  
Ernesto Marcheggiani ◽  
Andrea Galli ◽  
Giuseppe Modica ◽  
Ben Somers
Keyword(s):  
Remote Sensing ◽  
Urban Area ◽  
Tree Species ◽  
Carbon Stock ◽  
Dominant Species ◽  
Remote Sensing Data ◽  
Data Sources ◽  
Lidar Data ◽  
Urban Tree ◽  
Sensing Data

Currently, the worsening impacts of urbanizations have been impelled to the importance of monitoring and management of existing urban trees, securing sustainable use of the available green spaces. Urban tree species identification and evaluation of their roles in atmospheric Carbon Stock (CS) are still among the prime concerns for city planners regarding initiating a convenient and easily adaptive urban green planning and management system. A detailed methodology on the urban tree carbon stock calibration and mapping was conducted in the urban area of Brussels, Belgium. A comparative analysis of the mapping outcomes was assessed to define the convenience and efficiency of two different remote sensing data sources, Light Detection and Ranging (LiDAR) and WorldView-3 (WV-3), in a unique urban area. The mapping results were validated against field estimated carbon stocks. At the initial stage, dominant tree species were identified and classified using the high-resolution WorldView3 image, leading to the final carbon stock mapping based on the dominant species. An object-based image analysis approach was employed to attain an overall accuracy (OA) of 71% during the classification of the dominant species. The field estimations of carbon stock for each plot were done utilizing an allometric model based on the field tree dendrometric data. Later based on the correlation among the field data and the variables (i.e., Normalized Difference Vegetation Index, NDVI and Crown Height Model, CHM) extracted from the available remote sensing data, the carbon stock mapping and validation had been done in a GIS environment. The calibrated NDVI and CHM had been used to compute possible carbon stock in either case of the WV-3 image and LiDAR data, respectively. A comparative discussion has been introduced to bring out the issues, especially for the developing countries, where WV-3 data could be a better solution over the hardly available LiDAR data. This study could assist city planners in understanding and deciding the applicability of remote sensing data sources based on their availability and the level of expediency, ensuring a sustainable urban green management system.

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