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Table 6 Comparative review between biomass and carbon stock estimates in similar forest types reported under previous investigations and the present study

From: Stand structure and species diversity regulate biomass carbon stock under major Central Himalayan forest types of India

RegionReference

Comment

AGBD

AGCD

TBD

TCD

Tropical to sub-tropical forests with presence of S. robusta

Present study (F1 and F2)

Mixed and pure S. robusta dominant forest

457.1–1001.8

208.5–451.9

566.2–1280.8

258.2–577.8

Nepal1

No correlation between species richness and biomass carbon

–

–

254 ± 72

120 ± 34

Cambodia2

Biomass carbon of tropical evergreen and semi-evergreen forest

–

–

–

163.8 ± 7.8

Tripura3

No correlation between species diversity and biomass

110.5–179.9

55.3–89.9

139.3–226.6

167.6–219.7

Meghalaya4

Tropical semi-evergreen Sal plantation

406.0

203.2

–

–

Meghalaya5

Primary tropical old-growth forest

323.7

158.4

374.5

182.3

Uttarakhand6

(Dehradun)

Moist deciduous Shiwalik Sal forest

268.6–347.7

–

338.4–438.2

169.2–219.1

Uttarakhand7

(Pauri Garhwal)

Negative correlation between species diversity and total carbon density

279.6 ± 37.6

–

346.5 ± 45.5

159.4 ± 20.9

Sub-tropical Pine forest

Present study F3

P. roxburghii and A. nepalensis association forest

471.8

215.7

596.2

272.5

Nepal8

Sub-tropical pine forest

86.0

38.7

–

–

Nepal9

Monospecific forest stands had higher biomass carbon than mixed stands

–

89.6 ± 7.4

–

–

China10

Six forest types with Pinus elements

–

–

51.8–120.5

–

Korea11

74-year-old P. koraiensis plantation

339.9

–

–

–

USA, Wyoming12

Unmanaged P. ponderosa forest

185.4

–

–

–

Meghalaya13

Old-growth P. kesiya forest

419.7

205.7

460.5

224.4

Meghalaya14

Weak positive correlation between tree species diversity and biomass

–

–

–

63–74.7

Uttarakhand 15 (Pauri Garhwal)

Van Panchayat managed non-degraded pine forest

790.5

–

–

490.3

Uttarakhand 16 (Garhwal)

Old-growth forest

363.4 ± 9.9

167.2 ± 4.6

447.7 ± 12

205.9 ± 5.5

Uttarakhand 17 (Kumaon)

Monospecific P. roxburghii forest

–

–

210.8 ± 36.6

–

Temperate forests

Present study (F4–F7)

Ban oak forest, temperate deciduous forest, Moist deodar forest and Kharsu Oak forest

499.4–758.8

229.1–350.2

634.2–968.6

290.9–437.5

Belgium 18

Temperate forest

–

–

–

101.0

USA19

Mid-Atlantic temperate forests

81–266

–

101–326

–

USA, Kentucky20

90-year-old second growth temperate mixed deciduous forest

108.3–111.0

–

–

–

Jammu and Kashmir 21

C. deodara dominant forest

393.7 ± 221.3

–

496.7 ± 278.9

–

Manipur22

Largest sacred grove in Manipur, India

962.9–1130.8

481.5–565.4

–

–

Uttarakhand 23 (Kumaon)

Q. oblongata forest

–

–

387.3 ± 43.9

 

Uttarakhand 24 (Garhwal)

Ridge top Q. oblongata forest

–

–

497.32

228.75

Uttarakhand 25 (Kumaon)

Temperate deciduous A. indica forest

397.2

–

501.8

–

Uttarakhand 16 (Garhwal)

Old-growth temperate deciduous A. indica forest

429.8 ± 14.6

193.4 ± 6.6

527.6 ± 17.5

237.4 ± 7.8

Uttarakhand 16 (Garhwal)

Old-growth temperate C. deodara forest

546.7 ± 20.5

251.5 ± 9.4

667.6 ± 24.5

307.1 ± 11.3

Uttarakhand 26 (Garhwal)

Q. semecarpifolia dominant forests

–

136.9–221.4

–

179.6–285.9

Uttarakhand 27 (Garhwal)

Q. semecarpifolia dominant forest with northern slopes having greater biomass

190.5–287.1

–

238.2–355.7

107.2–160.1

Uttarakhand 25 (Kumaon)

Temperate Q. semecarpifolia dominant forest

459.7

–

590.2

–

Uttarakhand 28 (Tehri)

Sem Mukhem sacred forest

1224.9

 

1549.7

774.8

Sub-alpine forest

Present study F8

A. spectabilis dominant forest

485.9

223.8

607.9

279.9

Poland29

A. alba dominant forest

0.3–293.6

–

–

–

USA30

Old-growth A. amabilis forest

464.8

–

–

–

Sikkim31

Species diversity and richness have positive relation with biomass carbon

191.3

–

–

134.2

Uttarakhand32 (Garhwal)

Treeline ecotone forest

–

–

32–387

–

  1. AGBD: Mg ha−1; AGCD: Mg C ha−1; TBD: Mg ha−1; and TCD: Mg C ha−1
  2. References: 1: Thapa Magar and Shrestha 2015; 2: Samreth et al. 2012; 3: Banik et al. 2018; 4: Baishya et al. 2009; 5: Baishya and Barik 2015; 6: Shahid and Joshi 2015; 7: Sharma et al. 2010; 8: Baral et al. 2009; 9: Pariyar et al. 2019; 10: Guo et al. 2010; 11: Son et al. 2007; 12: Tinker et al. 2010; 13: Baishya and Barik 2011; 14: Gogoi et al. 2020; 15: Vikrant and Chauhan 2014; 16: Dimri et al. 2017a; 17: Chaturvedi and Singh 1987; 18: Walle et al. 2005; 19: Jenkins et al. 2001; 20: Newman et al. 2006; 21: Dar and Sahu 2018; 22: Waikhom et al. 2018; 23: Rawat and Singh 1988; 24: Sharma et al. 2016; 25: Adhikari et al. 1995; 26: Dimri et al. 2017a b; 27: Sharma et al., 2011; 28: Pala et al. 2013; 29: Jagodziński et al. 2019; 30: Turner and Singer 1976; 31: Rai et al. 2018; and 32: Rai et al. 2020