research article

Effect of Wildfire on Herbaceous Vegetation in Cypress Mixed Oak Forest of Nainital, Kumaun Himalaya, India

Rachita Pandey, Vibhuti, Himani Karki, Pankaj Awasthi, Kiran Bargali, Surendra Singh Bargali*

Department of Botany, Kumaun University,Uttarakhand, India

*Corresponding author: Surendra Singh Bargali, Department of Botany, DSB Campus, Kumaun University, Nainital-263002(Uttarakhand), India. Tel: +919410579117; Email: surendrakiran@rediffmail.com

Received Date: 21 August, 2018; Accepted Date: 30 August, 2018; Published Date: 07 September, 2018

Citation: Pandey R, Vibhuti, Karki H, Awasthi P, Bargali K, et al.(2018) Effect of Wildfire on Herbaceous Vegetation in Cypress Mixed Oak Forest of Nainital, Kumaun Himalaya, India. Curr Trends Forest Res: CTFR-121. DOI: 10.29011/2638-0013.100021

1.      Abstract

Forest fire has diverseimpacts on atmospheric chemistry, biogeochemical cycling and ecosystem structure and has adverse ecological, economic and social implications.Besides directly damaging the forest trees, the fire also adversely affects forest regeneration, microclimate, soil erosion, and wild life. In most of the cases, the forest fire causes retrogression of forest vegetation. Present study examined the effect of wildfire on herbaceous vegetation in cypress mixed oak forest of Nainital, Kumaun Himalaya, India. The study site is present at and around Aryabhatta Research Institute of Observational Science in Nainital district and three sites (viz., hill base [1750 m] hill slope [1800m] and hill top [1850 m])were selected. The resultsrevealed thata total of 36 herb species representing 18 families were identified,Asteraceae (7 species)being the most rich family with maximum number of herb species. Total herb density was 19.60 ind.m-2at hill base,21.8 ind.m-2at hill slope and 33.7ind.m-2at hill top. The total herb biomass was 212.57 gm-2 at hill base, 116.22 gm-2 at hill slope and 141.97 gm-2at hill top. The species composition and richness were significantly affected by burning,the magnitude of effect was generally small. Overall the differences were observed in species composition after fire as a larger group of perennial herbs, primarily grasses and summer forbs, exhibited the changes in density and biomassand overall biodiversity decreased after fire.

2.      Keywords: Biomass; Density; Herb; Indian Himalaya; Wildfire

1.      Introduction

The Central Himalaya accounts for 8.68% of the total Indian Himalayan region (59,436 km2) and harbors rich biodiversity due to geographical and geological peculiarities subtending a wide range of vegetation types [1]. The Himalaya is recognized for its ecosystem services to the Asian region as well as to the world at large for maintaining slope stability, regulating hydrological integrity, sustaining high levels of biodiversity and human wellbeing. The Himalayan biodiversity is severely threatened by natural (catastrophic wind, landslides) and anthropogenic means (overgrazing, overlopping,habitat fragmentation due to overpopulation). The various disturbances present in the area are eroding this rich biological diversity day by day and has led to the expansion of xerophytic conditions[2].One of the most prevalent causes of global deforestation and destruction of wildlife is fire.Forest fire is one of the major disasters in the forests of Uttarakhand that adversely affect many indigenous and endangered species every year.Forest fires spread at different speeds depending on vegetation, weather conditions, and physical features.

Quercusis possibly the greatest natural ecosystem-forming genus of the world, it serves as a ‘keystone’ species in the region because of its significant contribution in soil and water conservation and to sustain rural ecosystems[3].The major forest forming species of the moist temperate forest of the Indian Himalayan region are Oaks (Quercusspp.)[3,4]and Cypress (Cupressus torulosa)[5].  The genus Quercus (oaks) belong to the family Fagaceae. Oaks are one of the most important groups of flowering plants and dominate large regions of the Northern Hemisphere[4]. Quercus includes about 35 species distributed between 1000-3500 m elevations in Indian Himalayan region. Among the 35 species of Oaks, 5 species are evergreen and grow naturally in the Uttarakhand state.

Associated with these oak woodlands isCupressus torulosaD. Don, commonly known as Himalayan cypress which is an evergreen tree in the family Cupressaceae.This species is distributed throughout the Himalayan region at elevation between 1800to 2800m [6]. It is indigenous to Western Himalaya and distributed throughout the outer and middle ranges of Himalaya from Chamba (HP) to the Nepal[7,8]. These forests are of immense significance from the environmental conservation and sustainable development view point as they provide a diverse range of resources and contribute significantly in carbon sequestration and water purification[9].

The herbaceous layer, also referred to as understory or ground layer vegetation is generally defined as all plants (woody or herbaceous) <1m in height, though taller woody vegetation may be included[10,11]. Plants in the understorey layer, maintain the structure and functioning of forests[2,4,12-14].It is considered that oak and mixed oak forests support the herbaceous diversity [3,4]. Across oak forest landscapes, the herbaceous layer harbors great majority of plant diversity, including most rare plant species. In diverse landscapes and significant topographic heterogeneity, herb layer composition and diversity vary along with aspect related gradients of microclimate, soil moisture and fertility[15]. However, increasing anthropogenic pressures such as population explosion, overgrazing, land degradation for agricultural purposes within Himalayan zone from some decades has caused extensive deforestation, massive soil erosion in the hills, floods in the plains and consequently the silting of rivers [16].

Herb layer vegetation is also affected by natural and anthropogenic disturbances to the tree canopy, individual tree falls, catastrophic wind events and timber harvesting, which result in large increase in resource availability[11,17,18].

Fire is a common feature in Indian Himalayan forests every year, causing incalculable damage to the forest wealth and ecosystem. Any fire on a forestland which was not being used as a tool in forest protection and management and is not in accordance with an authorized plan may be referred to as a wildfire[18,19].Primary causes of wildfires may be natural including lightening or volcanic eruption or human induced including smoking, unattended campfires, burning debris and fireworks.Surface fires usually cause minor damage to overstory trees but affect herb layer vegetation directly by killing aboveground stems and indirectly by altering the forest floor and the availability of light, water and nutrients [20,21].Spatial and temporal variation in severity within a fire can have long-lasting impacts on the structure and species composition of post-fire communities and the potential for future disturbances[22]. Several studies showed variable effects of fire on herb layer- vegetation in oak forests [23-26].

In India, normal fire season extends from February to mid-June, early summer months are most prone to human induced fire. Frequently, many fires are caused during the burning of crop remains in the agricultural fields that are located near forest or due to a live cigarette or bidi butt thrown on the ground, even due to cooking and campfire activities of local people or tourists. Sometimes the local people deliberately set fire in Chir Pine (Pinus roxburghii) forests to promote growth of understory herbaceous vegetation which can be used as fodder during the monsoon season. In the summer of 2015, there was a severe fire in Uttarakhand Himalaya including the study area so an attempt has been made to highlight the effects of fire as an agent of transformation which affects biotic and abiotic component of natural ecosystem and thus altering productive, protective functions and services of forest ecosystems. The present paper is an attempt to analyze the effect of wildfire on herbaceous vegetation in cypress mixed oak forests of Nainital, Kumaun Himalaya, India.

2.      Materials and Methods

2.1.  Study Site

The study area islocated near the town of Nainital (29°23′N - 79°27′E, HYPERLINK "http://toolserver.org/~geohack/geohack.php?pagename=Nainital¶ms=29.38_N_79.45_E_"29.38°N- 79.45°E) at an altitude of 1,950 meters above sea level in Kumaun Himalaya. The study site waspresent at and around Aryabhatta Research Institute of Observational Sciences (ARIES) (1900m) in Nainital district and three sites (viz., hill base [1750 m] hill slope [1800m] and hill top [1850 m]were selected(Photo plate 1). During 2015,in summers there was a heavy fire in Uttarakhand Himalaya including the study area.

2.2.  Climate

The climate of Nainital is classified as Koppen climate type, which is characterized by long-cold often snowy winter and short summer. It is temperate and monsoon type (Singh and Singh, 1992) and the year have four distinct seasons viz., monsoon (July to September), post-monsoon (October to November), winter (December to January) and summer (April to mid-June). Climatic data for the year 2016was obtained from the State Observatory at Nainital. The mean annual rainfall was recorded 280.72mm and mean monthly rainfall ranged between 0mm (November) to 1076.34mm (July). The minimum temperature ranged from 6oC (January) to 25oC (June) and the mean maximum day temperature varied from 22oC (December) to 39oC (May)(Source: ARIES, Nainital) (Figure 1).

2.3.  Sampling

Plant species were collected carefullyfrom the selected three sites (hill top, hill slope, hill base)and the collected specimens were properly spread in between the newspaper sheets for drying. The dried specimens were then mounted on the herbarium sheets of 29.2 x 41.9 cm. The collected plant material was identified by consulting the representative flora [27-30]and with the help of Prof. P.C. Pande, Taxonomist, Department of Botany, DSB Campus, Nainital. The herbarium was prepared by standard methods.

The vegetational analysis of herb species was conducted by doing stratified random sampling based position along a slope gradient by placing 10 quadrats of 1m x 1m size randomly at different locations on each of the three sites (viz., hill base, hill slope and hill top). The size and number of samples were determinedfollowing Saxena and Singh[31]. Grasses were sampled through tiller analysis and each tiller of grass was considered as an individual plant and creeping plants were counted on the basis of presence of functional roots.The vegetational data were quantitatively analyzed for abundance, density and frequency [32]. The Provenance value (PV) of herbs was determined as the sum of the relative frequency and relative density[33]. The ratio of abundance to frequency indicates distribution pattern which may beregular (A/F≤0.025) orrandom (A/F = 0.025 to 0.05) or contagious (A/F ≥0.05)[34]. The diversity index (Hˈ) was computed by using Shannon-Wiener Index [35].The concentration of dominance (CD) was computed by using Simpson’s Index[36], species richness was calculated by following Whittaker [37] and equitability was computed by following Pielou[38] and Index of similarity was calculated following Mueller-Dombois and Ellenburg[39].The statistical analysis was performed using SPSS (version 16.0).

3.      Results

3.1.  Floristic Composition

36 herb species, belonging to 36 genera and 18 families were identified (Table 7)and number of herb species ranged from 15 (hill base) to 18 (hill top).The herbs were roughly distributed in a proportion of about 1/3rd in each site. From the identified species, pteridophytes were represented by one or two species and the rest of the species were angiosperms. Maximum herb species were contributed by family Asteraceae (7 species) followed by Poaceae (5 species) and Lamiaceae (4 species). Arthraxonlanceolatusdominatedat hill base and hill slope, while Selaginellaspp.dominated at hill top.These results are supported by the fact that higher altitude promotes heterogeneity. Higher number of herb species present at hill top may be due to open canopy of C. torulosa due to which more species got chance to establish themselves.

3.2.  Herb Density and Provenance Value

Maximum herb density was observed at hill top (33.7ind.m-2) followed by hill slope (21.8 indm-2) and hill base(19.60 indm-2). At hill top, the maximum individual herb density was 11.4 ind m-2for Selaginellabryopterisand minimum 0.1 ind.m-2 for Cassiaspp. Provenance value (PV) indicated the dominance of S. bryopteris(PV=43.83), predominance of Craniotomeversicolor(PV=20.51) and co-dominance of Parietariaofficinalis(PV=18.73).At hill slope, the maximum individual herb density was 8 ind.m-2for S. bryopterisand minimum0.2 ind.m-2forDiclipterabupleuroidesandClematisbuchaniana athill base. Provenance value (PV) indicated the dominance of Arthraxonlanceolatus(PV = 56.43) predominance of S. bryopteris(PV = 47.51) and co-dominance ofAinsliaeaaptera(PV = 14.48). At hill base, maximum individual herb density was 9.30 ind.m-2 for A. lanceolatusand 0.10 ind.m-2for Salvia officinalis, Cardamineamara, Bidens alba, Fragaria vesca, Cynodondactylon and Erigeronbelloides(Table 1). In the present study, two types of distributional patterns, viz. random and contagious were observed. Random distribution was rare whereas, contagious distribution was common.

On the basis of percent similarity, Hill base and Hill slope were 20.68% similar, the Hill slope and Hill top showed 18.75% similarity and the Hill Top and Hill base were 48.48% similar in herb layer which showed maximum similarity(Table 2).Across the three sites, maximum diversity was observed in hill slope for S. bryopteris(0.53) and minimum in hill top for Cassia occidentalis(0.02).Maximum concentration of dominance was observed for A.lanceolatus(0.22) in hill base. Equitability was observed maximum for S. bryopterisand A.lanceolatus (0.20) in hill slope. (Table 3)

3.3.  Herb Biomass

Maximum herb biomass(212.57 gm-2) was observed at hill base, whereas minimum biomass was reported at hill slope (116.22 gm-2) andthe total biomass at hill top (141.97 gm-2) ranged in between hill base and hill slope.At hill base, maximum biomass was contributed by D. bupleuroides(25.83%) and minimum biomass was contributed by B. alba(0.10%). At hill slope,A. lanceolatus contributed highest biomass (24.88%) and lowest contribution was reported by P. annua (0.30%). At hill top,C. zizaniodes contributed highest biomass (20.57%) and C. offcinale(0.77%) contributed lowest biomass(Table 4).

3.4.  Dominance Diversity Curves

At hill base, one herb species was clearly dominant, one was predominant and rest of the species showed similar dominance.At hill slope, one herb species was clearly dominant, one was predominant and rest of the species showed similar dominance.At hill top, group of herb species showed similar dominance while one species was clearly dominant (Figure 2).

4.      Discussion

In the present study a total of 36 herb species, belonging to 36 genera and 18 families were identified (Table 7) while 27 herb species from same site were reported previously by Karki et al.[40] that further supports the fact that the abundance of herbaceous plants increased after fire (Table 7). Hill top occupied highest numbers among the herb species followed by hill base and hill slope. The richestfamilies were Asteraceae (7 species) followed by Poaceae (5 species), Lamiaceae(4 species A. lanceolatus was dominating in hill base and hill slope, while S. bryopterisdominated at hill top while 22 to 25 herbs were reported for mixed oak forests of the region [41].

Natural as well as human disturbances influence forest dynamics and plant diversity at local and regional scales[42]. Nearly all studies of fire effects have revealed that the cover and/or abundance of herbaceous plants increased after fire [23,25,43,44]. For woody plant cover, the fire response may be more variable because of the variation in the sprouting response in different vegetation types[44-46]. Fire often has been shown to increase species richness and/or diversity in the herbaceous layer [25,44,45].

Herb-layer vegetation is affected indirectly when fire alters the forest floor and soil environments. Elevated soil temperatures likely affect the germination, establishment and growth of herb-layer vegetation.Leaf litter plays an important role in herb-layer plant communities [47].In the short term, the consumption of leaf litter and humus during fires probably causes the greatest changes in herb-layer vegetation by reducing the mechanical barrier (accumulated litter and debris) and increasing light levels to seeds in the humus and mineral soil.The consumption of leaf litter in fires also releases nutrients that are then incorporated into the mineral soil, altering soil chemistry and likely affecting plant productivity, particularly on nutrient poor sites [48],as fire alters forest structure by killing of saplings and some trees, light levels increase to the forest floor.Fire also increases the amount of nitrate in soil, this could stimulate the germination of some seed bank[49].

The total density of herbs varied from 19.60 to 33.7 ind.m-2 with hill top having highest density(Table 5). However,herb density ranged from100.80 to 135.6 ind.m-2in earlier studies[40]. In the present study site, the total biomass fall between 212.57 gm-2(at hill base) and 116.22(at hill slope), while Karki et al.[40]reported the total biomass from 174.71gm-2to 352.52 gm-2at the same site before fire. Perhaps, the major difference of density and biomass values may be due to increase in anthropologicalpressures (accidental fire) with development of time.

In the present study, two types of distributional patterns, viz. random and contagious were observed. Random

distribution was rare whereas, contagious distribution was common. Earlier studies [50] also support the fact that clumped (contagious) distribution is the commonest pattern in nature, random distribution is found purely in very uniform environment and the regular distribution occurs when severe competition exists between individuals. On the basis of percent similarity, Hill base and Hill slope were 20.68% similar, the Hill slope and Hill top were 18.75% similar and the maximum similarity existed between Hill Top and Hill base (48.48%).However, earlier studies [40] revealed thatHill slope and Hill top showed 68.97% similarity, hill base and hill slope showed 51.61% similarity and hill base and hill top showed 43.75%similarity (Table 2).

4.1.  Cluster Analysis

Cluster analysis is a way of grouping cases of data. In the present study, 2 groups were formed on the basis of different parameters (Density, Diversity and Biomass) before and after fire. Across the sub-sites (Hill base, Hill slope, Hill top), group 1, 2 and 3 (before fire) join togetherto form a cluster with homogenous combinationfollowed by group 4, 5 and 6 group (after fire) which showed heterogeneous combination with group 1,2 and 3. On the basis of different parameters, group 1, 2, 3 form a single cluster that means hill base, hill slope and hill top of before fire showed similarity whereas group 4, 5, 6 also form a single cluster i.e. hill base, hill slope, hill top after fire also showed similaritybut as the clusters formed before fire and after fire showed a wide gap in between i.e. they were strongly dissimilar with respect to the parameters studied (Figure 3).

1=Hill base    2=Hill slope      3= Hill top (1.00=Before fire)

4=Hill base    5=Hill slope      6=Hill top (2.00=After fire)

4.2.  Correlation Matrix

The correlation matrix of different parameters with study sites (Before and after fire) is indicatedin Table 6. Density (-0.988) and biomass (-0.977) showed strong negative correlation with study sites i.e. density and biomass of herbs decreased after fire in the studied site.Biomass (0.953) showed positive correlation with density i.e. biomass increased with increasing density. Diversity showed least significance with site and position.

5.      Conclusion

The present study is an attempt to investigate the role of fire in shaping ecosystem with emphasis on long and short term impact of fire and other biotic/abiotic factors in combination with fire which cause biodiversity loss. The species composition and richness were significantly affected by fire but the magnitude of effects was generally small. Overall species composition became different in burned areas than in unburned areas. Certain burned areas also developed greater small-scale species richness than that of unburned areas. A group of perennial herbs, primarily grasses exhibited significant changes in their frequencies after fire that may result in longterm changes in composition and richness.

 From conservation prospective for successful rehabilitation of burnt sites a detailed study of all the vegetation layers and physico-chemical properties of soil could be helpful to conclude the effect of fire in vegetation and soil nutrient pool. Plantations could be established in accessible sites by using fast-growing native species in order to speed up the gap filling and carbon sequestration potential.

6.      Acknowledgement

We are thankful to the Head, Department of Botany, DSB Campus for providing necessary lab facilities.


Photoplate 1: Photographs of the study sites (a-Hill top, b-Hill base, c-Hill slope, d-Image depicting severely burnt tree due to fire) in Uttarakhand state (India).



Figure 1: Metrological data of the study site for the year 2016 (Source: ARIES, Nainital).



Figure 2: Dominance diversity curve of herb species at Cypress mixed Oak forest.



Figure 3: Cluster analysis for different parameters.


Species

Density (D)

(ind. m-2)

Frequency (F) (%)

Abundance (A)

A/F

Relative Frequency (%)

Relative Density (%)

Provenance Value( PV)

Hill Base

Salvia officinalis

0.10

10

01.00

0.10

03.13

00.51

03.64

Diclipterabupleuroides

4.40

60

07.33

0.12

18.75

22.45

41.20

Arthraxonlanceolatus

9.30

70

13.29

0.19

21.88

47.45

69.32

Cardamineamara

0.10

20

01.00

0.05

06.25

00.51

06.76

Royleacinerea

0.60

20

06.00

0.30

06.25

03.06

09.31

Achyranthesbidentata

0.80

30

02.67

0.09

09.38

04.08

13.46

Bidens alba

0.10

20

01.00

0.05

06.25

00.51

06.76

Fragaria vesca

0.10

10

01.00

0.10

03.13

00.51

03.64

Conyzaagerotoides

0.50

10

05.00

0.50

03.13

02.55

05.68

Artemisia annua

1.00

10

10.00

1.00

03.13

05.10

08.23

Cynodondactylon

0.10

10

01.00

0.10

03.13

00.51

03.64

Erigeron bellidiodes

0.10

10

01.00

0.10

03.13

00.51

03.64

Verbascumthapsus

0.60

10

6.00

0.60

03.13

03.06

06.19

Seigesbeckiaorientalis

00.80

10

08.00

00.80

03.13

04.08

07.21

Eupatorium adenophorum

01.00

20

05.00

00.25

06.25

05.10

11.35

Total

19.60

 

69.29

 

 

 

200

Hill Slope

Thalictrum foliolosum

0.5

10

05

0.5

2.70

2.29

5.00

Selaginellabryopteris

08

40

20

0.5

10.81

36.70

47.51

Ainsliaeaaptera

0.8

40

02

0.05

10.81

3.67

14.48

Arthraxonlanceolatus.

07

90

7.78

0.09

24.32

32.11

56.43

Ageratum conyzoides

0.9

20

4.5

0.23

5.41

4.13

9.53

Justicia simplex

01

20

05

0.25

5.41

4.59

9.99

Achyranthesbidentata

0.5

30

1.67

0.06

8.11

2.29

10.40

Poaannua

0.4

10

04

0.4

2.70

1.83

4.54

Randiadensiflora

0.7

40

1.75

0.04

10.81

3.21

14.02

Diclipterabupleuroides

0.2

10

02

0.2

2.70

0.92

3.62

Clematis buchaniana

0.2

10

2

0.2

2.70

0.92

3.62

Carexhirta

0.3

20

1.5

0.08

5.41

1.38

6.78

Vitishimalayana

0.6

20

3

0.15

5.41

2.75

8.16

Strobilanthescallosa

0.7

10

7

0.7

2.70

3.21

5.91

Total

21.8

 

 

 

 

 

200

Hill Top

Arthraxonlanceolatus

3.6

30

12.00

0.40

7.5

10.68

18.18

Clematis buchaniana

1.2

30

4.00

0.13

7.5

3.56

11.06

Fragaria vesca

1.1

10

11.00

1.10

2.5

3.26

5.76

Crysopogonzizanioides

2.3

30

7.67

0.26

7.5

6.82

14.32

Craniotome versicolor

2.7

50

5.40

0.11

12.5

8.01

20.51

Eupatorium adenophorum

1.8

20

9.00

0.45

5.0

5.34

10.34

Micromeria

1.7

30

5.67

0.19

7.5

5.04

12.54

Cynodondactylon

0.8

20

4.00

0.20

5.0

2.37

7.37

Artemisia annua

1.0

10

10.00

1.00

2.5

2.97

5.47

Selaginellabryopteris

11.4

40

28.50

0.71

10

33.83

43.83

Cyanotisaxillaris

1.1

20

5.50

0.28

5.0

3.26

8.26

Parietaria officinalis

2.1

50

4.20

0.08

12.5

6.23

18.73

Stellaria media

0.3

10

3.00

0.30

2.5

0.89

3.39

Paspalumconjugatum

0.5

10

5.00

0.50

2.5

1.48

3.98

Cassia occidentalis

0.1

10

1.00

0.10

2.5

0.30

2.80

Gallium aparina

1.5

10

15.00

1.50

2.5

4.45

6.95

Verbascumthapsus

0.3

10

3.00

0.30

2.5

0.89

3.39

Cynoglossumofficinale

0.2

10

2.00

0.20

2.5

0.59

3.09

Total

33.7

 

135.93

 

 

 

200

Table 1: Vegetation analysisof herblayerin the Cypress mixed oak forest.


Sites

Hill Slope

Hill Top

Hill Base

20.68%

48.48%

Hill Slope

-

18.75%


Table 2: Index of similarity.


Species

Diversity index (Hˈ)

Concentration of dominance(Cd)

Equitability(e)

Hill base

Salvia officinalis

0.04

0.00

0.01

Diclipterabupleuroides

0.48

0.05

0.18

Arthraxonlanceolatus

0.51

0.22

0.19

Cardamineamara

0.04

0.00

0.01

Royleacinerea

0.15

0.00

0.06

Achyranthesbidentata

0.19

0.00

0.07

Bidens alba

0.04

0.00

0.01

Fragaria vesca

0.04

0.00

0.01

Conyzaagerotoides

0.13

0.00

0.05

Artemisia annua

0.22

0.00

0.08

Cynodondactylon

0.04

0.00

0.01

Erigeron bellidiodes

0.04

0.00

0.01

Verbascumthapsus

0.15

0.00

0.06

Seigesbeckiaorientalis

0.19

0.00

0.07

Eupatorium adenophorum

0.22

0.00

0.08

Hill slope

Thalictrum foliolosum

0.12

0.00

0.05

Selaginellabryopteris

0.53

0.13

0.20

Ainsliaeaaptera

0.17

0.00

0.07

Arthraxonlanceolatus.

0.53

0.10

0.20

Ageratum conyzoides

0.19

0.00

0.07

Justicia simplex

0.20

0.00

0.08

Achyranthesbidentata

0.12

0.00

0.05

Poaannua

0.11

0.00

0.04

Randiadensiflora

0.16

0.00

0.06

Diclipterabupleuroides

0.06

0.00

0.02

Clematis buchaniana

0.06

0.00

0.02

Carexhirta

0.09

0.00

0.03

Vitishimalayana

0.14

0.00

0.05

Strobilanthescallosa

0.16

0.00

0.06

Hill top

Arthraxonlanceolatus.

0.34

0.01

0.12

Clematis buchaniana

0.17

0.00

0.06

Fragaria vesca

0.16

0.00

0.06

Crysopogonzizanioide

0.26

0.00

0.09

Craniotome versicolor.

0.29

0.01

0.10

Eupatorium adenophorum

0.23

0.00

0.08

Micromeriabiflora

0.22

0.00

0.08

Cynodondactylon

0.13

0.00

0.04

Artemisia annua

0.15

0.00

0.05

Selaginellabryopteris

0.53

0.11

0.18

Cyanotisaxillaris

0.16

0.00

0.06

Parietaria officinalis

0.25

0.00

0.09

Stellaria media

0.06

0.00

0.02

Paspalumconjugatum

0.09

0.00

0.03

Cassia occidentalis

0.02

0.00

0.01

Gallium aparina

0.20

0.00

0.07

Verbascumthapsus

0.06

0.00

0.02

Cynoglossumofficinale

0.04

0.00

0.02


Table 3: Diversity (H’), Concentration of dominance (Cd) and Equitability (e) of herbs in Cypress Oak mixed forest.

Herb species

AGB(gm-2)

BGB(gm-2)

Total

Hill base

Salvia officinalis

1.01

0.97

1.98

Diclipterabupleuroides

50.34

4.57

54.91

Arthraxonlanceolatus

48.59

2.07

50.67

Cardamineamara

1.75

1.02

2.77

Royleacinerea

0.38

0.30

0.68

Achyranthesbidentata

14.35

6.66

21.01

Bidens alba

0.11

0.11

0.22

Fragaria vesca

0.11

0.12

0.23

Conyzaagerotoides

4.28

0.29

4.57

Artemisia annua

1.32

0.08

1.40

Cynodondactylon

0.88

0.05

0.93

Erigeron bellidiodes

0.35

0.02

0.37

VerbascumThapsus

15.52

25.02

40.54

Seigesbeckiaorientalis

2.30

0.10

2.40

Eupatorium adenophorum

21.19

8.70

29.89

Total

162.48

50.08

212.57

Herb Species

AGB (gm-2)

BGB (gm-2)

Total

Hill slope

Thalictrum foliolosum

3.99

1.97

5.96

Selaginellabryopteris

4.08

1.22

5.30

Ainsliaeaaptera

3.71

2.51

6.22

Arthraxonlanceolatus.

24.44

4.48

28.92

Ageratum conyzoides

2.35

2.25

4.60

Justicia simplex

3.38

1.30

4.67

Achyranthesbidentata

2.94

3.22

6.16

Poaannua

0.31

0.05

0.36

Randiadensiflora

5.50

6.51

12.00

Diclipterabupleuroides

0.36

0.34

0.70

Clematis buchaniana

1.48

0.17

1.65

Carexhirta

1.52

1.34

2.85

Vitishimalayana

15.84

1.10

16.94

Strobilanthescallosa

13.46

6.45

19.91

Total

83.35

32.87

116.22

Herb Species

AGB(gm-2)

BGB(gm-2)

Total

Hill top

Arthraxonlanceolatus.

11.71

0.97

12.68

Clematis buchaniana

3.13

1.30

4.43

Fragaria vesca

3.64

0.18

3.82

Crysopogonzizanioides

11.76

17.45

29.21

Craniotome versicolor

13.12

1.79

14.91

Eupatorium adenophorum

12.77

2.66

15.43

Micromeriabiflora

4.53

0.29

4.82

Cynodondactylon

4.46

3.79

8.25

Artemisia annua

6.46

1.67

8.13

Selaginellabryopteris

9.50

1.71

11.21

Cyanotisaxillaris

1.75

0.75

2.50

Parietaria officinalis

3.31

0.69

3.99

Stellaria media (L)Vill

0.39

0.90

1.29

Paspalumconjugatum

2.00

0.41

2.41

Cassia occidentalis

1.98

0.33

2.31

Gallium aparina

3.60

0.02

3.62

VerbascumThapsus

10.46

1.41

11.87

Cynoglossumofficinale

1.03

0.07

1.10

Total

105.58

36.38

141.97

 

Table 4: Herblayer biomassin the temperate Cypress dominated mixed-oak forest.


Herb species

Density (ind.m-2)

 

After fire (Present study)

Before fire (Karki et al.2016)

Hill base

Achyranthesbidentata

0.8

12

Ainsliaeaaptera

-

14.4

Artemisia annua

1

3.2

Arthraxonlanceolatus

9.3

18

Bidens alba

0.1

-

Cardamineamara

0.1

-

Clematis buchaniana

-

0.4

Conyzaagerotoides

0.5

-

Creniotome versicolor

-

14.8

Cynodondactylon

0.1

2.4

Diclipterabupleuroides

4.4

-

Dioscoreadeltoidea

-

1.6

Erigeron bellidiodes

0.1

44.4

Eupatorium adenophorum

1

9.6

Fragaria vesca

0.1

0.8

Galiumaparina

-

1.6

Goldfussiadalhousianus

-

1.6

Melaxisacuminate

-

0.4

Royleacinerea

0.6

-

Salvia officinalis

0.1

-

Seigesbeckiaorientalis

0.8

-

Selaginella spp.

-

11.2

VerbascumThapsus

0.6

-

Viola canescens

-

2.8

VitisHimalayana

-

3.2

Hill slope

Achyranthesbidentata

0.5

9.2

Ageratum conyzoides

0.9

-

Ainsliaeaaptera

0.8

8.4

Arthraxonlanceolatus.

7

24

Carexhirta

0.3

-

Clematis buchaniana

0.2

-

Diclipterabupleuroides

0.2

13.6

Justicia simplex

1

-

Poaannua

0.4

-

Randiadensiflora

0.7

-

Selaginella spp.

8

27.6

Strobilanthescallosa

0.7

-

Thalictrum foliolosum

0.5

-

Vitishimalayana

0.6

0.8

Cypress rotundus

-

45.6

Creniotome versicolor

-

14.8

Stellaria media

-

2.4

Galiumrotundifolium

-

10

C. dactylon

-

4

G. dalhousianus

-

2.8

G. gossypina

-

2.8

Onychiumcryptogrammoides

-

8

Hill Top

A. aptera

-

17.2

A. bidentata

-

8

Artemisia annua

1

-

Arthraxonlanceolatus

3.6

24.8

C. rotundus

-

12

Cassia occidentalis

0.1

-

Clematis buchaniana

1.2

0.4

Craniotome versicolor

2.7

-

Crysopogonzizanioides

2.3

-

Cyanotisaxillaris

1.1

-

Cynodondactylon

0.8

-

Cynoglossumofficinale

0.2

-

D. bupleuroids

-

8.4

Eupatorium adenophorum

1.8

-

Fragaria vesca

1.1

-

G. dalhousianus

-

17.2

G. gossypina

-

3.2

G. rotundifolium

-

4.4

Gallium aparina

1.5

-

Hedychium spicatum

-

1.2

Micromeria

1.7

-

Parietaria officinalis

2.1

-

Paspalumconjugatum

0.5

-

Selaginellaspp.

11.4

62

Stellaria media

0.3

-

Thalictrum foliolosum

-

0.8

Tragopogon gracilis

-

2.8

V. himalyana

-

2.0

VerbascumThapsus

0.3

-

Viola serpens

-

0.4

Table 5: Comparative study of densities of herb species across the stand position before fire and after fire.


 

Site

Position

D

H

B

Site

1

0.000

-0.988**

-0.418

-0.977**

Position

 

1

-0.109

-0.373

0.067

D

 

 

1

0.462

0.953**

H

 

 

 

1

0.313

B

 

 

 

 

1

Table 6:  Pearson Correlation matrix for the study site before and after fire.



Herb species

Family

Present study(After fire)

Karkiet al.2016 (Before fire)

 

 

Hill base

Hill slope

Hill top

Hill base

Hill slope

Hill top

AchyranthesbidentataBlume

Amaranthaceae

+

+

+

+

+

+

Ageratum conyzoidesL.

Asteraceae

-

+

-

-

-

-

AinsliaeaapteraDC.

Asteraceae

-

+

-

+

+

+

Artemisia annuaLinn.

Asteraceae

+

-

+

+

-

-

Arthraxonlanceolatus.Thunb

Poaceae

-

-

-

+

+

+

Bidens alba (L) DC.

Asteraceae

+

-

-

-

-

-

CardamineamaraL.

Brassicaceae

+

-

-

-

-

-

CarexhirtaL.

Cyperaceae

-

+

-

-

-

-

Cassia occidentalisL.

Fabaceae

-

-

+

-

-

-

Clematis buchanianaDC.

Ranunculaceae

-

+

+

+

-

+

ConyzaagerotoidesDC.

Asteraceae

+

-

-

-

-

-

Craniotome versicolor. Reichb.

Lamiaceae

-

-

+

+

+

-

Crysopogonzizanioides(L.)Roberty

Poaceae

-

-

+

-

-

-

Cyanotisaxillaris(L.)D.Don ex Sweet

Commelinaceae

-

-

+

-

-

-

Cynodondactylon(L.)Pers.

Poaceae

+

-

+

+

+

-

CynoglossumofficinaleL.

Boraginaceae

-

-

+

-

-

-

CyperusrotundusL.

Cyperaceae

-

-

-

-

+

+

DiclipterabupleuroidesNees

Acanthaceae

+

+

-

-

+

+

DioscoreadeltoideaKunth.

Dioscoreaceae

-

-

-

+

-

-

Erigeron bellidiodesL.

Asteraceae

+

-

-

+

-

-

Eupatorium adenophorumSpreng

Asteraceae

+

-

+

+

-

-

Fragaria vescaLinn.

Rosaceae

+

-

+

+

-

-

Gallium aparinaL.

Rubiaceae

-

-

+

+

-

-

Gallium rotundifoliumL.

Rubiaceae

-

-

-

-

+

+

Geberagossypina(Royle) Beauv.

Asteraceae

-

-

-

-

+

+

GoldfussiadalhousianusClarke.

Acanthaceae

-

-

-

+

+

+

Hedychium spicatum BuchHam.exJ.E.Smith

Zingiberaceae

-

-

-

-

-

+

Justicia simplex D. Don

Acanthaceae

-

+

-

-

-

-

Malaxis acuminate D.Don.Roxb.

Orchidaceae

-

-

-

+

-

-

Micromeriabiflora(Don)Benth.

Lamiaceae

-

-

+

-

-

-

OnychychiumcryptogrammoidesC. Chr

Cryptogrammaceae

-

-

-

-

+

-

Parietaria  officinalis  L.

Urticaceae

-

-

+

-

-

-

PaspalumconjugatumHochst.exSteud.

Poaceae

-

-

+

-

-

-

PoaannuaL.

Poaceae

-

+

-

-

-

-

RandiadensifloraL.

Rubiaceae

-

+

-

-

-

-

Royleacinerea(D. Don) Baill.

Lamiaceae

+

-

-

-

-

-

Salvia officinalis L.

Lamiaceae

+

-

-

-

-

-

SeigesbeckiaorientalisL.

Asteraceae

+

-

-

-

-

-

Selaginellaspp

Selaginellaceae

-

+

+

+

+

+

Stellaria media (L)Vill

Caryophyllaceae

-

-

+

-

+

-

Strobilanthescallosa(Nees) Bremek

Acanthaceae

-

+

-

-

-

-

Thalictrum foliolosumDC.

Ranunculaceae

-

+

-

-

-

+

Tragopogon gracilisD. Don

Asteraceae

-

-

-

-

-

+

VerbascumthapsusL.

Scrophulariaceae

+

-

+

-

-

-

Viola serpensWall.

Violaceae

-

-

-

-

-

+

VitishimalayanaBrandis

Vitaceae

-

+

-

+

+

+

Voila canescensWall. ex Roxb.

Voilaceae

-

-

-

+

-

-

Table 7: A list of herb species encountered in the studied area before and after fire (+ sign indicates the presence of species and -sign indicates its absence).

1.       Rikhari HC, Adhikari BS, Rawat YS (1997) Woody species composition of temperate forests along an elevational gradient in Indian central Himalaya. J Trop for Sci10: 197-211.

2.       Singh JS, Singh SP (1987) Forest vegetation of Himalaya. Bot Rev53: 80-192.

3.       Bargali K, Joshi B, Bargali, SS, Singh SP (2014) Diversity within Oaks. Int Oaks 25: 57-70.

4.       Bargali K, Joshi B, Bargali SS, Singh SP (2015) Oaks and the Biodiversity They Sustain. Int Oaks 26: 65-76.

5.       Mourya NR, Bargali K, Bargali SS (2018) Effect of Coriarianepalensis Wall. colonization in a mixed conifer forest of Indian Central Himalaya. J For Res.

6.       Shahni KC (1990) Gymnosperms of India and adjacent countries. Bishan Singh and Mahendra Pal Singh Dehradun, India.

7.       Troup RS (1921) The Silviculture of Indian trees. Clarendon Press, Oxford 111: 1195.

8.       Champion HG, Seth SK (1968) A Revised Survey of the Forest Types of India.Government of India Publication, New Delhi.

9.       Baduni NP and Sharma CM (1996) Effect of aspect on the structure of some natural stands of Cupressus torulosain Himalayan moist temperate forest. Proc of Indian Natl Sci Acad62: 345-352.

10.    Bargali SS (1994) Forest floor development in Eucalyptus tereticornis Sm. plantations in a part of Central Himalayan tarai belt. Range Manag and Agrofor 15: 61-68.

11.    Gilliam FS, Roberts MR (2003) The herbaceous layer in forests of eastern North America. NewYork: Oxford University Press 408.

12.    Bargali SS, Bargali K (2000) Diversity and biomass of the under story vegetation in an age series of Eucalyptus tereticornisplantation. Int J Ecol Environ Sci26: 173-181.

13.    Augusto L, Dupouey JL, Ranger J (2003) Effects of tree species on understorey vegetation and environmental conditions in temperate forests. Ann for Sci60: 823-831.

14.    Whigham DF (2004) Ecology of woodland herbs in temperate deciduous forests. Annu Rev EcolEvol35: 583-621.

15.    Hutchinson TF, Boerner REJ, Iverson LR, Sutherland S, Sutherland EK (1999) Landscapepatterns of understory composition and richnessacross a moisture and nitrogen mineralizationgradient in Ohio (U.S.A.) Quercusforests. Plant Ecol 144: 179-189.

16.    Shahi C, Sharma A, Bargali K, Bargali SS (2014) Effect of disturbance gradient on forest floor biomass in natural forest ecosystems in and around Nainital.The Ecoscan8: 163-168.

17.    Small CJ, McCarthy BC (2002) Spatial and temporal variation in the response of understory vegetation to disturbance in a central Appalachian oak forest.J Torrey Bot Soc 129: 136-153.

18.    Kittur B, Swamy SL,BargaliSS,Jhariya MK (2014) Wildland Fires and Moist Deciduous Forests of Chhattisgarh, India: Divergent Component Assessment.J for Res 25: 857-866.

19.    Show SB, Clarke B (1978) Forest Fire Control; FAO 104-105.

20.    Gilliam FS (1988) Interactions of fire with nutrients in the herbaceous layer of a nutrient-poor Coital Plain forest. Bull. Torrey Bot Club 115: 265-271.

21.    Kruger EL, Reich PB (1997) Responses of hardwood regeneration to fire in mesic forest openings. Post-fire community dynamics. Can J for Res 27: 1822-1831.

22.    Ryan KC (2002) Dynamic interactions between forest structure and fire behavior in boreal ecosystems. Silva Fenn 36: 13-39.

23.    McGee GG, Leopold DJ, Nyland RD (1995) Understory response to springtime prescribedfire in two New York transition oak forests. For Ecol and Manag1: 149-168.

24.    Ducey MJ, Moser WK, Ashton PMS (1996) Effect of fire intensity on understory composition and diversity in a Kalmia-dominated oak forest, New England, U.S.A.Vegetation 123: 81-90.

25.    Arthur MA, Paratley RD, Blankenship BA (1998) Single and repeated fires affect survival andregeneration of woody and herbaceous species inan oak-pine forest.J Torrey Bot Soc125: 225-236.

26.    Franklin SB, Robertson FA, Pralish JS (2003) Prescribed burning effects on upland Quercus forest structure and function.For Ecol and Manag 184:315-335.

27.    Osmaston AE (1980) A forest flora for Kumaon Govt. press, Allahabad, United province.

28.    Gupta RK (1968) Flora Nainitalensis. Nav Yug Traders, New Delhi.

29.    Gaur RD (1999) Flora of the District Garhwal North West Himalaya with ethnobotanical notes. Transmedia Publications, Srinagar Garhwal.

30.    Pande HC, Pande PC (2003) An Illustrated Fern Flora of the Kumaun Himalaya. Vo. I and II. Dehradun.

31.    Saxena AK, Singh JS (1982) A phytosociological analysis of woody species in forest communities of a part of Kumaun Himalaya. Vegetation50: 3-22.

32.    Curtis JT, Mcintosh RP (1950) The interrelations of certain analytic and synthetic phytosociological characters. Ecology 31: 438-455.

33.    Curtis JT (1959) The vegetation of Wisconsin. An ordination of plant community University Wisconsin Press, Madison, Wisconsin: 657.

34.    Curtis JT, Cottam G (1956) Plant ecology work book. Laboratory field reference manual. Burgess Publication Co., Minnesota: 193.

35.    Shannon CE, Wiener W (1963) The Mathematical Theory of Communication. University of Illinois Press, Urbana.

36.    Simpson EH (1949) Measurement of diversity.Nature168: 688.

37.    Whittaker RH (1960) Vegetation of the Siskiyou mountains, Oregon and California. EcolMonogr30: 279-338.

38.    Pielou EC (1966) The measurement of diversity in different types of biological collections. J Theor Biol13: 131-144.

39.    Mueller-Dombois D, Ellenburg H (1974)Aims and methods of vegetation Ecology.  Jhon Wiley and Sons. Inc.

40.    Karki H, Rana P, Bargali K, Bargali SS, Rawat YS (2016) Effect of Biotic disturbances on herbaceous vegetation in Cypress Mixed Oak Forests of Central Himalaya, India. Curr World Environ11: 413-422.

41.    Pande R, Bargali K, Pande N (2014) Impacts of disturbance on the population structure and regeneration status of tree species in a Central Himalayan mixed-oak forest India. Taiwan J for Sci29: 179-192.

42.    Sheil D (1999) Tropical forest diversity environmental change and species augmentation after the intermediate disturbance hypothesis. J Veg Sci10: 851-860.

43.    Swan FR (1970) Post-fire response of four plant communities in south-central New York state. Ecology 51: 1074-1082.

44.    Nuzzo VA, McClain W, Strole T (1996) Fire impact on groundlayer flora in a sand forest1990-1994. Am Midl Nat 136: 207-221.

45.    Elliot KJ, Hendrick L, Major AE, Vose JM, Swank WT (1999) Vegetation dynamics after prescribed fire in the southern Appalachians.For EcolManag114: 199-213.

46.    Kuddes-Fischer LM, Arthur MA (2002) Response of understory vegetation and tree regeneration to a single prescribed fire in oak-pine forests.Nat Area J 22: 43-52.

47.    Facelli JM, Pickett STA (1991) Plant litter: its dynamics and effects on plant community structure. Bot Rev 57: 1-32.

48.    Gilliam FS, Christensen NL (1986) Herb-layer response to burning in pine flatwoods of the lower Coastal Plain of South Carolina. BullTorrey Bot Club 113: 42-45.

49.    Auchmoody LR (1979) Nitrogen fertilization stimulates of dormant pin cherry seed.Can J for Res 9: 514-516.

50.    Odum EP (1971) Fundamentals of Ecology (III edition) W.B. Saunders Co., Philadelphia, U.S.A. 574.


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