• google scholor
  • Views: 1294

  • PDF Downloads: 1

Variations in Vegetation and Nutrient Composition in Sal and Eucalyptus Stands: A Case Study of Bhagabatichak Forest Area, West Bengal, India

Tridib Kumar Sahoo *

Corresponding author Email: tksahoo.botany@gmail.com

DOI: http://dx.doi.org/10.12944/CWE.16.3.28

The study was conducted on two type of stands one was coppice sal (Shorea robusta  Gaertn. F.) stand (CSS) managed by Forest Protection Committee (FPC) along with the State Forest Department and other was coppice eucalyptus (Eucalyptus tereticornis Sm.) stand (CES) solely managed by the State Forest Department. These two stands are in the Bhagabatichak forest area under Midnapore East Forest Division, West Bengal, India. In this study Importance Value Index (IVI), biomass, species diversity index (H/), concentration of dominance(Cd), species richness index(d), beta diversity(βd), index of similarity (IS), nutrient composition and soil pH of the two stands were measured. The study reveals that the highest numbers of species were available during monsoon period in both the stands; these were 71 and 43 respectively in CSS and CES. The result also shows that the highest IVI was occupied by sal in CSS and eucalyptus in CES in all the seasons. Other major species were Clerodendrum viscosum Vent, Lantana camara L., Combretum roxburghii Spreng. Highest diversity index (H/) was in CSS during monsoon (1.983) and minimum in CES during pre-monsoon (1.274). So, the species richness index (d) was higher in CSS during monsoon (28.259) and lower in CES during pre-monsoon (12.112).Cd shows the opposite trend, it was higher in CES during pre-monsoon (0.125) and lower in CSS during monsoon (0.042). β diversity reflects the rate of species change, which was highest in CSS during post-monsoon (1.300). The similarity index (IS) between the two stands was 64.91%. The total annual above ground biomass (agb) were 87008.043 kg ha-1 yr-1 in CSS and 86309.837 kg ha-1 yr-1 in CES. Among them major contributors were sal (82357.946 kg ha-1 yr-1) in CSS and eucalyptus (84246.358 kg ha-1 yr-1) in CES. In both the stands higher amount of nutrients were available in Combretum roxburghii. In CSS available NPK were 1.272%, 0.527% and 1.867% respectively in Combretum roxburghii. In CES the values were 0.864%, 0.513% and 1.724% respectively for the same species. Soil pH of CSS were 5.53 in top soil and 5.79 in subsoil, in CES soil pH were 4.88 and 5.02 in top soil and subsoil respectively. It was observed that sal stand was better than eucalyptus stand with respect to ecology and biodiversity.

Eucalyptus Stand; Importance Value Index (IVI); Sal Stand; Species Diversity

Copy the following to cite this article:

Sahoo T. K. Variations in Vegetation and Nutrient Composition in Sal and Eucalyptus Stands: A Case Study of Bhagabatichak Forest Area, West Bengal, India. Curr World Environ 2021;16(3). DOI:http://dx.doi.org/10.12944/CWE.16.3.28

Copy the following to cite this URL:

Sahoo T. K. Variations in Vegetation and Nutrient Composition in Sal and Eucalyptus Stands: A Case Study of Bhagabatichak Forest Area, West Bengal, India. Curr World Environ 2021;16(3). Available From: 


Download article (pdf)
Citation Manager
Publish History


Article Publishing History

Received: 04-08-2021
Accepted: 15-12-2021
Reviewed by: Orcid Orcid Nyong Princely
Second Review by: Orcid Orcid Alex K. George
Final Approval by: Dr. C. P. Kumar


Introduction

Forest represents the largest and most natural plant community. Though, today some woody plant species like Eucalyptus sp., Acacia sp., Dalbergia sp. are planted by human being for their economical need. This type of stands has traditionally been seen as a source of timber1.The return from different non-timber forest products (NTFPs) has been undervalued. But in recent decades, interest has grown in uses of NTFPs as alternatives or supplements of forest products, which are important for economic purpose of the local forest dwellers 2 3 4 5 6. Now-a-days in few forests areas, during afforestation, some fruit yielding species, medicinal plant species are being planted as a policy decision. Plantation of these tree species are done to enhance diversity and heterogeneity in the tree level. Today establishment of new forest has been increased remarkably 7 8 9. Since 1990 in India, as well as in West Bengal a major portion of the natural coppice sal forest is protected by concerned Forest Protection Committee (FPC) through Joint Forest Management (JFM), which was previously in a degraded condition and maintained by the State Forest Department10.There are the great differences of natural forest from a plantation ecosystem regarding the vegetation dynamics, structure and function also11. The quality and quantity of undergrowth depends on the tree canopy and the edaphic and microclimatic conditions existing under the particular type of forest12. The nature of ground flora, its diversity and density vary with the type of forest community13. The proportion of species to genera were 13:1 in world, 7:1  in India and  1.5:1 in Amarkantak, Madhya Pradesh, India14. It indicates that every genus is of great botanical importance in any plant community. The species diversity, density and nature of vegetation vary with the type of forest15.

In this study the vegetation and nutrient composition of a sal dominated stand (natural forest) was compared with that of eucalyptus stand (plantation) in Paschim Midnapore district. The forest of Paschim Midnapore district is truly unique, which shows higher species diversity16, 17. As per Champion and Seth’s classification of Forest Type of India, the study area comes under Major Group – II, i.e. “Dry Tropical Forest”18.

Study Area

The study was done in Bhagabatichak forest area under Midnapore East Forest Division, West Bengal. This area has two type of stands, such as coppice sal stand (CSS) and coppice eucalyptus stand (CES), which are adjacent to each other. Sal stand was jointly managed by FPC and Forest Department, whereas eucalyptus stand was under management of Forest Department. In CES eucalyptus plantation was done by Forest Department. Bhagabatichak village is 8 km away from Midnapore town of Paschim-Midnapore District, where FPC has existed for the last 25 years. The area of the coppice sal (Shorea robusta) stand is 61 hectares and the area of the eucalyptus stand is 33 hectares. Bhagabatichak forest belongs to the latitude 22.46140N and longitude 87.27800E. The annual rainfall of this site is 1580 mm of which 80% is precipitated at the end of June to September. The mean minimum and maximum temperature ranges from 15.6oC to 37.8oC.

Material and Methods

The phyto-sociological observations in both stands were recorded every month during 2019 -20 using quadrat method15. The data were represented in pre-monsoon, monsoon and post-monsoon seasons.   Pre-monsoon represents March to June, monsoon July to October and post-monsoon November to February.

Layout of Sample Plots

“Species area curve” method was used to determine the minimum size and minimum number of the quadrats19. To study the plant communities quadrats of (10 m X 10 m) for tree species, (5m X 5m) for shrubs and (1m X 1m) for herbs were selected randomly.  Ten quadrats of each (tree, shrub and herb) were studied in both the stands. Quadrat wise plant species were encountered, listed and then identified with the help of floristic study of regional vegetation by Prain20.The identifications were cross checked with the help of Bennet21. Different phytosociological parameters were measured as follows-

Importance Value Index (IVI) – IVI = RD+RA+RF22

Where, RD= Relative Density, RA= Relative Abundance and RF= Relative Frequency.

Diversity Index (H/) =

where, ni = IVI of individual species and N= IVI of all the species.

The concentration of Dominance (Cd)

It was measured by Simpson’s Index24, Cd =  (ni /N) 2, where, ni = IVI of individual species and N= IVI of all the species

Species Richness Index (d) -  d = S -1 / log N25,  where, S= Total number of species, N= IVI of all the species.

Beta Diversity ( βd ) -  βd = Sc/ S 26, where, Sc = total number of species in all the sites and S = average species per site.

Similarity (IS) or Quotient of Similarity (QS) –

This was calculated by the formula of Sorensen27, which was described by Muller-Dombois and Ellenberg28.  IS or QS = 2c / a + b, Where, a = Total number of plant species in one stand, b = Total number of plant species in another stand, c = Total number of plant species in both the stand.

Biomass

The above ground biomass were collected by destructive method. Destructive sampling of different species was done thrice (pre-monsoon, monsoon and post-monsoon). Species wise dry biomass estimated after drying the sample in Hot air oven at 800c for 24 hours.

Nutrient Composition

For assessing composition of flora, the plants from all the quadrats were harvested, identified and sorted out into dominant, co-dominant and other associated species by their occurrence/frequency in the forest. The vegetation was weighed, chopped, dried at 60oC, re-weighed, grind to fine power and analyzed for nitrogen, phosphorus, and potash29.

Soil pH

The pH meter is used to measure the soil pH, with the help of glass electrodes in 1: 1.25 of soil: water.

Result and Discussion

In a place the plant community nature is depend upon the plant species which grow and develop in this environment30. The variation of community composition between the two adjacent coppice stands and the effect of dominant tree species on other species were studied. The study reveals that more plant species were present in coppice sal stand (CSS) than coppice eucalyptus stand (CES). The numbers of tree and shrubs species were more or less the same in all three seasons in both the study sites (Table-1), but in case of herbs many species regenerate during monsoon period, which are not available in other seasons (Table-1). Maximum numbers of plant species were available in monsoon period, 71 in CSS, among them15 tree species, 22 shrubs and climbers, 34 herbs and grasses. Whereas during monsoon period the total number of plant species in CES were only 43, among them 11 tree species, 13 shrubs and climbers, 19 herbs and grasses (Table-1). Similar observations were recorded in natural coppice sal forest and akashmoni (Acacia auriculiformis A. Cunn. Ex. Benth. Ln. Hook.) plantation stand of Paschim-Minapore district of West Bengal31. Several authors were noted that the variations of vegetation are depends upon several factors like species composition and structure32, management strategies33, soil moisture and nutrient dynamics34, 35, succession history36 and fragmentation37. Occurrence of maximum number of plant species (71) in CSS shows its status as climatic climax, besides this, the stand is protected by FPC, so the disturbances were least. In CES the total number of species (43) was too much less than CSS during monsoon period, where the different disturbances like thinning, pruning, cutting,  collection of fuel wood, grazing are too much high, so the number of species is too much less.

Table 1: Number of Plant Species in CSS and CES.

 

Coppice Sal Stand (CSS)

Coppice Eucalyptus Stand (CES)

 

Pre -monsoon

Monsoon

Post -monsoon

Pre-monsoon

Monsoon

Post -monsoon

Tree species

15

15

15

 9

11

10

Shrubs &  climbers

17

22

 22

10

13

11

Herbs & grasses

16

34

 30

12

19

15

TOTAL

48

71

67

31

43

36



IVI of a plant community represents the ecological importance of a species in the community. In CSS highest IVI was occupied by sal in all the seasons (Table- 2), during monsoon this was followed by Croton roxburghii (14.53), then Combretum roxburghii (14.16). Similarly in CES highest IVI was occupied by eucalyptus in all the seasons (Table- 2), during monsoon E. tereticornis was followed by Lantana camara (14.23) and Combretum roxburghii (13.17) which are listed in Table-2. The result also shows that in between the sal and eucalyptus maximum IVI was occupied by eucalyptus in CES than the sal in CSS. It indicates the effectiveness of major species on other species was more by eucalyptus than sal. On the basis of the “Kath and Kukath” concept the FPC protects the forest specially the sal tree. But recent days different NTFPs are used and sold in the market, which support the economy of the forest people. So they protect the forest as a whole, which promote the conservation of forest. Similar findings were observed by some authors2, 6. The village people irregularly collect the different tree species (except sal) as fuel wood. These tree species remain in sapling condition throughout the year. Another dominant species like, Combretum roxburghii, Holarrhena antidysenterica and L. camara remain constant and showed better growth in CSS. Whereas in CES the grazing and cutting of different plant species (except eucalyptus) were done continuously, no restrictions were there. Though in CES Combretum roxburghii, C. viscosum, L. camara, constantly present but not in better condition as in CSS.

Table 2: Importance Value Index (IVI) and Annual Above Ground Biomass of all the Species in CSS and CES.

 

 

Coppice Sal Stand  (CSS)

Coppice Eucalyptus  Stand (CES)

Sl. No

Scientific name

IVI

Annual Above Ground Biomass (kg/ha/yr)

IVI

Annual Above Ground Biomass (kg/ha/yr)

Pre -monsoon

Monsoon

Post -monsoon

Pre -monsoon

Monsoon

Post -monsoon

 

TREE species

 

 

 

 

 

 

 

 

01

Acacia auriculiformis A. Cunn. Ex.Benth. Ln. Hook.

x

x

x

x

6.12

5.39

5.88

50.514

02

Alstonia  scholaris R.Br.

8.47

8.33

8.41

42.647

9.15

7.91

8.48

28.172

03

Antidesma  acidum Retz.

8.81

8.74

8.69

182.203

x

2.27

x

15.218

04

Buchanania  lanzan Spr.

11.23

10.67

9.41

105.732

x

x

x

x

05

Cassia fistula Linn.

13.65

12.72

12.48

243.174

x

x

x

x

06

Cleistanthus  collinus Benth.

3.17

2.46

2.52

28.46

9.16

7.56

6.72

79.850

07

Croton roxburghii  Balak.

15.42

14.53

15.05

396.244

8.15

5.94

6.33

94.416

08

Diospyros  exculpta Buch-Ham.

10.94

10.87

10.58

183.752

9.69

9.80

9.93

88.623

09

Eucalyptus  tereticornis Sm.

x

x

x

x

97.58

88.62

93.24

84246.358

10

Madhuca longifolia (Koenig) MacBride.

13.72

12.23

12.19

226.283

x

6.16

7.57

89.107

11

Phoenix sylvestris Roxb.

7.81

7.79

7.74

37.965

10.48

8.62

9.06

32.432

12

Pterocarpus marsupium Roxb.

5.79

5.63

5.62

32.492

x

x

x

x

13

Shorea  robusta Gaertn. F.

47.24

42.76

44.79

82357.946

x

x

x

x

14

Sizygium  cumini (Linn.)Skeels.

5.26

4.49

4.45

24.124

7.54

5.25

5.69

55.176

15

Tectona grandis Linn. f.

12.44

11.91

11.84

145.377

x

x

x

x

16

Terminalia bellerica (Gaertn.) Roxb.

9.27

8.73

8.79

87.852

x

x

x

x

17

Zizyphus  mauritiana Lamk.

7.83

7.61

7.64

78.344

6.73

5.84

5.13

32.318

 

 

TOTAL ANNUAL BIOMASS
(With  Sal & Eucalyptus)

 

 

 

84172.595

 

 

 

84812.184

 

 

TOTAL ANNUAL BIOMASS
(Except Sal & Eucalyptus)

 

 

 

1814.649

 

 

 

565.826

 

SHRUBS and CLIMBERS

 

 

 

 

 

 

 

 

01

Abrus  precatorius Linn.

2.19

1.27

1.25

2.349

x

x

x

x

02

Abutilon indicum(L) Sweet.

x

2.45

2.87

6.805

x

x

x

x

03

Allophyllus cobbe (L) Raeusch.

x

x

x

 

x

2.91

x

8.361

04

Butea superba. Roxb.

4.52

3.21

3.43

14.692

6.94

6.37

6.88

12.332

05

Clerodendrum viscosum Vent.

6.22

4.70

4.82

78.624

12.72

11.43

12.44

356.938

06

Coccinia  indicaNaud.

x

2.61

2.65

12.435

x

x

x

x

07

Combretum roxburghii  Spreng.

15.78

14.16

14.46

1832.613

13.99

13.17

13.89

427.236

08

Dioscoria  alata L.

x

3.16

3.63

12.864

x

x

x

x

09

D. bulbifera L.

x

2.84

3.10

11.962

x

x

x

x

10

Flacourtia  indica(Burn. f.) Merr.

2.43

2.29

1.98

14.787

9.81

8.72

9.86

28.378

11

Flamingia  chappar  Ham.

2.81

1.78

1.76

3.125

x

x

x

x

12

Gardenia  gummifera  Linn. f.

2.66

2.33

2.59

4.266

x

x

x

x

13

Grewia  asiatica  L.

2.32

1.42

1.67

2.350

7.46

6.94

7.70

10.329

14

Hemidesmus  indicusR. Br.

3.58

2.14

1.78

12.763

x

x

x

x

15

Holarrhena  antidysenterica Wall.

9.80

8.77

9.22

343.542

11.87

10.76

11.35

151.944

16

Ichnocarpus  frutescence R. Br

3.36

2.03

2.12

3.674

x

x

x

x

17

Kirganelia reticulata (Poir.)Baill.

x

x

x

x

x

3.83

x

4.167

18

Lantana camara L.

11.48

10.24

10.81

385.765

14.94

14.23

14.46

433.036

19

Mucuna  pruriens (L) Dc.

2.26

1.17

1.02

2.763

x

x

x

x

20

Smilax  ovalifolia Roxb.

2.35

1.22

1.45

2.284

x

x

x

x

21

Tephrosia  purpuria (L) Pers.

1.82

1.78

1.73

3.174

x

4.82

4.54

2.164

22

Tragia  hispida  Willd.

x

x

x

x

4.59

3.57

4.15

 

23

Triumfetta  rhomboidea  Jacq.

x

1.66

1.68

2.846

x

x

x

x

24

Vitex  negundo  Linn.

2.16

1.32

1.46

3.172

6.93

6.33

6.58

15.297

25

Zizyphus  oenoplia  Mill.

2.94

2.81

3.24

41.294

4.85

4.61

4.97

34.182

TOTAL BIOMASS of  SHRUBS & CLIMBERS

-

-

-

2798.149

-

-

-

1484.364

 

HERBS  and GRASSES

 

 

 

 

 

 

 

 

01

Aerva lanata (L) Juss.

1.41

1.32

1.15

0.535

x

x

x

x

02

Ageratum conyzoides Linn.

2.29

1.97

2.20

0.793

x

x

x

x

03

Alysicarpus vaginalis (L) Dc.

x

2.17

2.18

0.678

x

1.49

x

0.870

04

Andrographis paniculata Nees.

x

1.40

x

6.352

x

x

x

x

05

Aristida adscensionis L.

4.26

3.82

3.96

2.793

5.37

4.45

4.28

1.327

06

Atylosia conyzoides Linn.

x

1.71

x

0.874

x

x

x

x

07

Barleria cristata Linn.

2.43

1.68

1.64

1.377

x

x

x

x

08

Blumea lacera Dc.

x

2.14

2.34

2.884

3.67

2.78

2.94

1.379

09

Borreria articularis (L.f.) F. N. Will.

x

1.65

1.49

0.634

x

x

x

x

10

Chrysopogon aciculatus Retz.

3.85

3.37

3.28

1.324

4.91

5.97

5.58

0.878

11

Cynodon dactylon Pers.

3.79

2.76

3.17

1.420

3.86

3.48

3.55

0.933

12

Cyperus compresus Linn.

x

1.13

1.16

1.128

x

1.73

2.18

0.634

13

C. cyperoides (L) Kuntze.

x

0.96

1.13

0.873

x

x

x

x

14

C. rotundus Linn.

x

1.47

1.56

0.947

x

1.28

1.42

0.537

15

Desmodium triflorum Dc.

x

1.35

1.41

0.677

1.91

1.44

2.17

0.448

16

Eragrostis tenella Roem&Schtt.

x

2.17

2.40

0.785

x

1.28

x

0.326

17

Euphorbia  hirta Linn.

2.48

1.84

1.92

0.642

x

x

x

x

18

Evolvulus  nummularius Linn.

x

1.56

1.42

0.438

1.94

1.76

1.87

0.295

19

Fimbristyles dichotoma (L.) Vahl.

x

x

x

x

x

2.17

x

0.237

20

F.  ovata (Burm.f.) Kern.

x

0.87

x

0.244

x

1.18

x

0.138

21

Hedyotis corymbosa (L) Lamk.

x

1.53

1.10

0.445

1.61

1.08

1.28

0.296

22

Heteropogon contortus (L)

Beavu.ex. Roem&Schtt.

2.73

2.16

2.14

0.783

3.49

3.73

3.86

0.323

23

Lindernia ciliata (Colsm.) Pennell.

x

0.76

x

0.186

x

x

x

x

24

L. crustacea (L) F.  Muell.

x

0.87

0.95

0.214

x

x

x

x

25

Mimosa pudica Linn.

0.72

1.34

1.28

2.832

3.14

2.35

2.44

1.488

26

Mollugo pentaphylla L.

x

1.81

1.13

0.390

x

x

x

x

27

Pergularia daemia (Forssk.) Chiov.

2.80

1.45

1.48

1.427

4.37

3.68

4.72

0.836

28

Perotis latifolia Ait.

x

0.67

0.73

0.226

x

x

x

x

29

Phyllanthus fraternus Webstern.

x

0.92

1.16

0.367

x

x

x

x

30

Rungia pectinata (L) Nees.

2.57

1.17

1.14

0.626

x

1.39

1.84

0.438

31

Sida cordata (Burn. f.) Borssum.

2.88

2.08

2.04

0.973

x

x

x

x

32

S. rhomboidea Linn.

2.15

1.75

1.79

0.884

3.41

3.83

3.17

1.212

33

Solanum nigram Linn.

2.64

1.14

1.12

0.927

x

x

x

x

34

Tridax procumbens Linn.

1.75

1.35

1.37

0.876

3.62

3.88

3.85

0.694

35

Vernonia cinerae (L) Less.

1.52

0.83

1.24

0.745

x

x

x

x

TOTAL  BIOMASS  of  HERBS  & GRASSES

-

-

-

37.299

-

-

-

13.289

GRAND   TOTAL

300.00

300.00

300.00

87008.043

300.00

300.00

300.00

86309.837


Vegetation analysis and distribution patterns of this study are as follows, the diversity index (H/) and concentration of dominance (Cd) were calculated on the basis of density and IVI. The information of species richness, distribution and the rate of change in species composition were available from diversity index. The ecosystem process is controlled by the strong function of the structure and diversity of vegetation. Diversity index is an important attribute of an organized community38. The diversity index (H/) was maximum in CSS during monsoon (1.983) and minimum in CES during pre-monsoon (1.228). It indicates that more species were observed in CSS (Table-2). In case of herbs the open canopy indicates the species richness and composition of an ecosystem39. The study reveals that higher species richness values (d) were observed in CSS during all the seasons, among them, the highest was in monsoon (28.259).The lower species richness value were observed in CES throughout the year, among them lowest in pre-monsoon (12.112).In Chendra teak forest of Dhaurpur range in Sarguja district, Chhattisgarh, India, the Shannon diversity index value and species richness value for shrubs of a natural forest was double than the plantation sites of teak11. The values of concentration of dominance (Cd) i.e. dominance index were maximum in CES and minimum in CSS in all the seasons, which are shown in Table- 3. Eucalyptus is a quick growing, large woody, gigantic tree species and the coppicing power is high, so the ecological success of the associated species was found to be very low in terms of their competing ability and therefore the ground vegetation was also found to be very thin. The adaptability and the coppicing ability of eucalyptus are better in lateritic region, a common soil type of the study region40. But sal is a slow growing species and it has no harmful effect on another plant species. The plant diversity was higher in CSS, this was also supported by several authors41, 42.

Table 3: Different Phytosociological Parameters of CSS and CES.

 

        Coppice Sal Stand (CSS)

Coppice Eucalyptus Stand (CES)

Pre-
monsoon

Monsoon

Post-
monsoon

Pre-
monsoon

Monsoon

Post-
monsoon

Total no. of species

48

71

67

31

43

36

Diversity Index(H/)

1.488

1.983

1.723

1.228

1.327

1.274

Dominance Index (Cd)

0.048

0.042

0.044

0.125

0.106

0.113

Species Richness Index (d)

18.974

28.259

26.645

12.112

16.956

14.129

β  Diversity

1.215

1.245

 1.300

0.784

 0.754

 0.699

Similarity Index

(During monsoon)

64.91%

 


β diversity reflects the rate of species change in the plant communities. It was more in CSS and less in CES, shown in Table-3. It shows highest stability in CSS in comparison to CES. Some authors has quoted that diversity generates community stability, dominance generates community productivity and increasing the number of species in a forest stand rather enhancing efficiency though more exploitation of site resources decreases efficiency perhaps through competition43,44. Greater diversity provides a number of pathways in the ecosystems functioning which gives stability to the ecosystem.

The similarity index (IS) is 64.51%, because CSS and CES are situated side by side at the same locality. Though these two stands are situated side by side, but the vegetation was different, due to the effect of dominant species on other species, such as in CSS sal shares the competition with other species but in CES, eucalyptus suppresses the other species45. Due to the different effectiveness of dominant species on other plant species the similarity of these two stands was not higher.

Comparative study of annual above ground biomass (agb) of the two stands shows that the total annual agb was slightly higher in CSS (87008.043 kg ha-1yr-1) than CES (86309.837 kg ha-1yr-1). The difference of agb was (87008.043 – 86309.837) 698.206 kg ha-1 yr-1. But in tree species the individual agb was more in eucalyptus (84246.358 kg ha-1yr-1) than sal (82357.946 kg ha-1yr-1). This is due to the fact that eucalyptus is a fast growing species than sal. In CSS the total agb (except sal) was 4650.07 kg ha-1yr-1. Similar finding was recorded by Sahoo46. Sahoo enumerated the total agb (except sal) in Chandra natural coppice sal forest of Midnapur East Forest Division in West Bengal was 5932.01 kg ha-1yr-1which was quite less in respect of the total annual agb. In CSS the total agb was 87008.043 kg ha-1yr-1, among this, tree species (except sal) contributed only 2.08% (1814.649 kg ha-1yr-1), shrubs and climbers 3.21% (2798.122kg ha-1yr-1), herbs and grasses 0.04% (37.299 kg ha-1yr-1). The rest amount 94.67% (82357.946 kg ha-1yr-1) was contributed by sal only, because sal is the most dominant tree species in this stand, besides this sal is protected by FPC. In CES the total agb was 86309.837 kg ha-1yr-1, among this, tree species (except eucalyptus) has only 0.65% (565.826 kg ha-1yr-1), shrubs and climbers 1.72% (1484.364 kg ha-1yr-1), herbs and grasses 0.02% (13.289 kg ha-1yr-1) and only eucalyptus contribute 97.61% (84246.358 kg ha-1yr-1). Eucalyptus was the dominant tree species in CES.  The result shows that the individual agb was more in eucalyptus than sal. With respect to total annual agb, species diversity and stability, the CSS was performed better, more significant and more stable than CES. In CES eucalyptus suppress the growth of other species and allelo-chemicals secreted by eucalyptus which prevents the germination and growth of other species. Similar findings were observed by several authors47, 45.

Nutrient Composition of Major Species

The major species having higher IVI and common to both the stands were selected for performing nutrient composition analysis, which are listed in Table-4. Their respective contribution towards production of biomass and nutrient uptake revealed that in both the stands higher nutrients (available NPK) were observed in Combretum roxburghii. In CSS available NPK were 1.272%, 0.527% and 1.867%. In CES the available NPK values were 0.864%, 0.513% and 1.724% in the same species. Next to Combretum roxburghii more nutrients were observed in L. camara (Table-4). In L. camara more nutrients (available NPK) were observed in CSS than the CES. A similar trend was observed for other species (Table-4). Nutrient uptake efficiency was more in the species of CSS, though sal had optimum expression on these sites. Available NPK were less in the species of CES, these are due to the fact that this stand is open to biotic interference by the local people and considerable amount of understory vegetation is being removed by villagers leading to sparse understory11.

Table 4: Analytical Composition of Major Plants of CSS and CES.

 

 

Analytical Composition of Above Ground Biomass

 

 

Coppice Sal Stand (CSS)

Coppice Eucalyptus Stand (CES)

Sl. No.

Scientific Name

Av. N
(%)

Av. P
(%)

Av. K
(%)

Av. N
(%)

Av. P
(%)

Av. K
(%)

 

Tree / Sapling

 

 

 

 

 

 

01

Madhuca longifolia

0.761

0.394

1.324

0.685

0.317

1.278

02

Croton roxburghii

0.747

0.438

1.762

0.597

0.358

1.159

 

Shrubs  and climbers

 

 

 

 

 

 

03

Clerodendrumviscosum

0.874

0.418

1.473

0.783

0.412

1.382

04

Combretum roxburghii

1.272

0.527

1.867

0.864

0.513

1.724

05

Holarrhenaantidysenterica

0.856

0.422

1.383

0.628

0.329

1.247

06

Lantana camara

0.879

0.515

1.642

0.835

0.487

1.686

 

Herbs and grasses

 

 

 

 

 

 

07

Alysicarpusvaginalis

0.873

0.313

1.217

0.768

0.280

0.936

08

Aristida adscensionis

0.792

0.349

0.946

0.728

0.311

0.876

09

Chrysopogonaciculatus

0.637

0.288

0.917

0.624

0.228

0.836



Table 5: Soil pH of CSS and CES.

 

 

1

2

3

4

5

Mean

Coppice Sal Stand (CSS)

Top Soil (0-15)cm

5.12

5.73

5.48

5.67

5.65

5.53

Sub Soil (15-30)cm

5.54

5.92

5.82

5.81

5.88

5.79

Coppice Eucalyptus Stand (CES)

Top Soil (0-15)cm

5.06

4.87

4.68

5.12

4.70

4.88

Sub Soil (15-30)cm

5.18

4.90

4.83

5.38

4.84

5.02



Mean pH value of soil in CSS was 5.53 in top soil (0 – 15cm.) and 5.79 in subsoil (15 – 30 cm.). The corresponding mean pH value of soil in CES was 4.88 in top soil and 5.02 in subsoil. In the lateritic region of West Bengal the soil pH under coppice sal forest ranges from 5.0 to 6.6, which are acidic to nearly neutral in reaction48. Under neutral pH conditions, rapid transformation, low fixation and efficient extraction of available phosphorus in sal forest soil is more than eucalyptus forest soils49.

Conclusion

The results indicate that the availability and growth of the floral diversity in CSS is more than that of CES. There may be various factors to explain but most important one is the management of the stands. Most of the ecological factors like soil, water regime etc. being same, the dominant tree species of the stands are observed to be the drivers of community structure. Thus, it may be concluded that the sal stand is more stable as compared to the eucalyptus stand. These observations get credence from the fact that sal stand are more stable having better floral composition than the floral composition of eucalyptus stand, which can provide better welfare to human beings and more significant to human life.

Acknowledgment

I am grateful to Dr. S. K. Banerjee, DSc. Senior Scientist (Retd.), TFRI, Jabalpur, MP and Dr. T.K. Mishra, Principal (Retd.), Vidyasagar College, Kolkata, West Bengal, for their guidance and encouragement in this research work. Thanks to all the villagers of Bhagabatichak, those who helped in different ways during the fieldwork.

Funding Source

There is no funding or financial support for this research work.

Conflict of Interest

There is no conflict of interest in the manuscript.

References

  1. Uglade L, Perez O. Mean Annual Volume Increment of Selected Industrial Forest Plantation Species. Working Paper FP/I, FAO, Rome (Italy), 2001.
  2. Shackleton C M, Shackleton S E. The Importance of Non-timber Forest Products in Rural Livelihood Security and as Safety Nets: A Review of Evidence from South Africa. S. Afr. J. Sci., 2004; 100(12): 658 – 664.
  3. Sarmah R. Non-timber Forest Products: Extraction and Impact on Plant Community Structure in and Around Namdapha National Park of Arunachal Pradesh, India. Indian J. of Plant Sci. 2012; 1(2- 3): 192 – 207. ISSN: 2319 – 3824 (online).
  4. Dattagupta S, Gupta A, Ghose M. Non-timber Forest Products of the Inner Line Reserve Forest, Cachar, Assam, India: Dependency and Usage Pattern of Forest-dwellers. Assam Univ. J. Sc. Technol., 2010; 6(1):21 – 27.
  5. Malik R H. Sustainable Management of Non-timber Forest Products in Orissa: Some Issues and Optics. Indian J. Agric. Econ., 2000; 55:384 – 397.
  6. Mahapatra A. Alberts H, Robinson E. The Impact of NTFP Sales on Rural Households’ Cash Income in India’s Dry Deciduous Forest. Environ. Manag., 2005; 35: 258 – 265.
    CrossRef
  7. Kumar A, Dash D, Jharia M K. Impact of Rhizobium on Growth, Biomass Accumulation and Nodulation in Dalbergia sissoo Seedlings. The Bioscan, 2013; 8(2):553 – 560.
  8. Kumar A, Dash D, Jharia M K. Influence of Rhizobium Inoculation on N,P and K Content in Dalbergia sissoo Roxb. Ecol. Environ. Conserv. 2014; 20(3): 1059- 1065.
  9. Sinha R, Yadav D K, Jhariya M K. Growth Performance of Sal in Mahamaya Central Forest Nursery (Ambikapur), Chattisgarh. Int. J. Sci. Res. 2014; 3(11): 246 – 248.
  10. Sahoo T. K. Ecological Impacts of Joint Forest Management (JFM) - in Midnapur Region of South West Bengal. PhD Thesis. FRI, Dehradun. 2002; 9 - 45.
  11. Jhariya M. K, Yadav D. K. Understorey Vegetation in Natural and Plantation Forest Ecosystem of Sarguja (C. G.), India, J.A. N.S. 2016; 8 (2): 668 – 673.
    CrossRef
  12. Rajvanshi R, Kumar V, Bachpai W, Rajgopal K, Raj S.F.H. Herbaceous Undergrowth in Some Forest Habitats in Nilgiris. Indian Forester 1987; 113(9): 599- 608.
  13. Pandey P. K, Bisht A. P. S, Sharma S. C. Comparative Vegetation Analysis of Some Plantation Ecosystems. Indian For. 1988; 114 (7): 379 – 389.
  14. Buch, M. N. The Forest of M P. Bhopal: Madhya Pradesh Madhyan; 1991, 132 – 137.
  15. Shadangi D K, Nath V. Impact of Seasons on Ground Flora under Plantation and Natural Forest in Amarkantak. Indian For. 2005; 131(2): 240 - 250.
  16. Das D, Ghosh P. Ecological Studies of Ecosystem Health Indicators at Nayagram of Paschim Medinipur District in Lateritic Forest of South West Bengal, India. JESTFT, 2014; 8(6):48 – 63.
    CrossRef
  17. Das D. Vegetation Spectrum and Natural Beauty of Bhadutala Forest in West Bengal, India. IJSART, 2017; 3 (10): 25 – 38.
  18. Champion H. G, Seth S. K. Forest Types of India. Delhi: Manager Publications; 1968.
  19. Oosting H. J. The Study of Plant Communities. USA: W. H. Freeman and Co.; 1958, 43- 46.
  20. Prain D. Bengal Plants, Vol.-I and Vol.-II. Dehradun, India: Bishen Singh and Mahendra Pal Singh; 1903.
  21. Bennet S.S.R. Name Changes of Flowering Plants of India and Adjacent Region. Dehradun, India: S. Selvaraja, Triseas Publishers; 1987.
  22. Curtis J. T. The Vegetation of Wisconsin University, Wisconsin Press, Madison. Ecology. 1959; 44: 678 – 697.
  23. Shannon C. E, Wiener W. The Mathematical Theory of Communication Univ. Illinois Press, Urbana, 1963.
  24. Simpson E. H. Measurement of Diversity. Nature. 1949; 163: 688 – 699.
    CrossRef
  25. Margalef R. Perspective in Ecological Theory. Chicago: University of Chicago Press; 1958.
  26. Whittaker R. H. Evolution and Measurement of Species Diversity. Taxon 1972; 21: 213 – 251.
    CrossRef
  27. Soreson T. Kongelige Danske Videnskabernes Selskab. A Method of Establishing Groups of Equal Amplitudes in Plant Sociology Based on Similarity of Species Content and its Application to Analyses of the Vegetation on Danish Commons. Biologiske Skrifter, 1948; 5: 1 – 34.
  28. Muller-Dombois D, Ellenberg H. Aims and Methods of Vegetation Ecology. New York: John Willey and Sons Inc; 1974.
  29. Jakson M. L. Soil Chemical Analysis. Printice Hall Inc. Englewood Cliffs, N. J. 1967.
  30. Bliss L. C. Alpine Plant Communities of the Presidential Range, New Hampshire, 1963.
    CrossRef
  31. Sahoo T. K. Effect of Seasons on Ground Flora Under Plantation and in Natural Forest in South West Bengal, Ela Jour. For. Wild. 2021; 10(1):874- 885.
  32. Sanger R, Singh A, Singh J. S. Differential Effect of Woody Plant Canopies on Species Composition and Diversity of Ground Vegetation: A Case Study. Trop. Ecol. 2008; 49: 189 – 197.
  33. Hart S. A, Chen H. Y. H. Fire, Logging and Overstory Affect Understory Abundance, Diversity and Composition in Boreal Forest. Ecol. Monogr. 2008; 78: 123 – 140.
    CrossRef
  34. Siebert S. From Shade to Sun-grown Perennial Crops in Sulawesi, Indonesia: Implications for Biodiversity Conservation and Soil Fertility. Biodivers. Conserv. 2002; 11: 1889 – 1902.
    CrossRef
  35. Ramadhanil R, Tjitrosoedirdjo S. S, Setiadi D. Structure and Composition of Understorey Plant Assemblages of Six Land Use Types in the Lore Lindau National Park, Central Sulawesi, Indonesia. Bangladesh J. of Plant Taxon. 2008; 15: 1- 12.
    CrossRef
  36. La Frankie J. V, Ashton P.S, Chuyong G. B, Condit L. Co. R, Davies S. J, Foster R, Hubbell S.P, Kenfack D, Lagunzad D, Losos E. C, Nor N. S. M, Tan S, Thomas D. W, Valencia R, Villa G. Contrasting Structure and Composition of the Understory in Species-rich Tropical Rain Forest. Ecology, 2006; 87: 2298 -2305.
    CrossRef
  37. Rasingam L, Parthasarathy N. Diversity of Understory Plants in Undisturbed Tropical Lowland orests of Little Andaman Island, India. Biodivers. Conserv. 2009; 18: 1045 – 1065.
    CrossRef
  38. Hairston N. G, Smith F. E, Slobodkin L. D. Community Structure, Population Control and Competition. Am. Nat. 1964; 94.
    CrossRef
  39. Roberts M. R. Response of the Herbaceous Layer to Natural Disturbance in North American Forests. Can J. Bot. 2004; 82: 1273 – 1283.
    CrossRef
  40. Meher-Homji V. M. J. Indian Bot. Soc. 1971; 50: 162.
  41. Banerjee S. K, Nath S, Mukherjee A, Namhata D. Ecological Status of Shorea robusta in Lateritic Region. Indian J. For. 1992; 15 (1): 33 – 43.
  42. Sahoo T. K, Banerjee S. K, Shukla P. K. Plant Diversity under Different Management Systems in a Lateritic Region of South West Bengal. Jour.Trop.For. 2020; 36 (III): 12– 27.
  43. Lewis J. K. Primary Production in Grass Land Ecosystem U.S. / I.B.P. Grassland Ecosystem. Supplement. Ed. R. L. Dlx and R. C. Beidleman, 1970.
  44. Mc. Naughton S.J. Relationship Among Functional Properties of California Grassland. Nature, 1967; 216:168- 169.
    CrossRef
  45. Chu C, Mortimer P E, Wang H, Wang Y. Allelopathic Effects of Eucalyptus on Native and Introduced Tree Species. For. Ecol. Manag. 2014; 323: 79 – 84.
    CrossRef
  46. Sahoo T. K. Ecological Impacts of Joint Forest Management (JFM) - in Midnapur Region of South West Bengal. PhD Thesis. FRI, Dehradun. 2002; 160 – 163.
  47. Zhang C, Fu S. Allelopathic Effects of Eucalyptus and the Establishment of Mixed Stands of Eucalyptus and Native Species. Forest Ecol. Manage., 2009; 258(7): 1391 – 1396.
    CrossRef
  48. Banerjee S. K, Singh B, Nath S, Nandi A, Gangopadhyay S. K. Soil Charecteristics Under Coppice Sal (Shorea robusta) in the Lateritic Region of West Bengal. Indian Forester, 1989; 115 (10): 744 – 753.
  49. Narain P, Singh R, Singh K. Influence of Forest Covers on Physico-chemical and Site Characteristics in Doon Valley. Indian For., 1990; 116 (11): 901- 916.