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ENVIS Technical Report 80,   October 2014

Reclamation of Mine Regions at Bisgod: Approaches and Challenges

Energy and Wetlands Research Group, Centre for Ecological Sciences, Indian Institute of Science, Bangalore 560 012
*Corresponding author: cestvr@ces.iisc.ernet.in, energy@ces.iisc.ernet.in [080-22933099]
Part-II: Vegetation status in Bisgod, Uttara Kannada during Post-mining

Summary:
Assessment of vegetation status is essential to implement appropriate management strategies towards reclamation of degraded land. Vegetation analyses provide insights to the possibility of natural regeneration or restoration and impact of mining activities. Vegetation sampling has been carried out in mining area at Bisgod of Yellapur taluk, Uttara Kannada district, Karnataka of Central Western Ghats. Vegetation sampling carried out through transect based quadrats showed the signs of succession of forests in the region. Highly disturbed landscapes due to mechanised mining are with poor natural regeneration compared to un-mechanised regions. The survey records a total of 151 species belonging to 63 families and 131 genera in the region. Habit-wise, trees (83 species) are in higher number, followed by shrubs (36 species), climbers (22 species), and herbs (10 species). Family-wise analyses show that Rubiaceae had the highest species number (11), followed by Leguminosae (9), and Anacardiaceae, Apocynaceae, Euphorbiaceae with 7 species. Shrub layer has higher species number, evergreeness and endemism showing a healthier recruitment of post mining status. The study reveals that the region with developed undergrowth and herb layers highlight the scope for regeneration. Planting native saplings in the region with soil amendments accelerate the reclamation of forests and maintenance of biodiversity.

Introduction:
Extraction of metal ores through opencast mining involves large scale destruction of natural forests, loss of productive top soil, siltation of water bodies. The natural recovery of forests in these regions takes long time (Sharma, and Wesley Sunderraj, 2005). Mining and quarrying have destroyed large tracts of forests land, evident from diversion of 1, 14, 304. 45 Ha in India between 1980 and 2008 (Mishra & Reddy. 2009, Department of Mines, GoI, 2008). Mining of mineral resources have severe environmental implications in the absence of planning and appropriate environment management strategies. Mining creates large amounts mine tailings, which are of concern due to the biotic and abiotic oxidation of minerals that release acidity and metals in the environment (Szczerski et al., 2013). Monitoring of such areas helps in the implementation of site specific remedial measures for environmental conservation.

Reforestation through planting and nurturing of native plants improves landscape’s physic-chemical structure (Young et al., 2013) and has been effective in reclamation to mitigate the spread of tailings and emissions in the environment. Re-vegetation protects the ground surface against wind erosion, diminishes the threat of water erosion and also provides obvious environmental benefits such as providing habitat for animal species, carbon capture, etc. (Koszelnik-Leszek et al., 2013). Permitting regeneration and plantation of local species of vegetation allows islands of vegetation to persist, where species and populations typical of specific habitats concentrate, increasing the biodiversity of post mined areas (Shu et al., 2003; Sena, 2014).

Degradation of land due to mining disrupts the regional biogeochemical cycles. Land reclamation of these soils requires appropriate choice of plant species, based on their ability to adapt to extreme and restrictive soil conditions (Leon et al., 2013). A systematic approach to improve degraded soils in mined regions is through reactivation of biogeochemical nutrient cycles (via litter production and decomposition), the establishment of active restoration models using new forestry plantations, agroforestry systems (Juan et al., 2014). The nutrient recycling is critical as lower nutrient conditions are associated with the mismanagement of top soil while mining. The litter provides substrate for leaf litter fungal assemblages that include ecological guilds such as saprotrophs, endophytes, parasitic and pathogenic fungi and a few mycorrhizal fungi. The litter decomposition is mediated by both biotic and abiotic processes, leaf litter fungal decomposers play an important biotic role in recycling ecosystem nutrients (Schneider et al. 2012). The establishment of vegetation cover improves ecosystem services such as: litter supply, nutrient cycling, water infiltration, control of erosion, and increasing of biodiversity (Murgueitio, et al., 2011). This occurs due to (i) nutrients cycling through plant’s root system, (ii) the protection of the soil surface against erosion, and (iii) maintenance of soil moisture and organic content via litter production, decomposition, etc. (Kumar, 2008).

The objective of the study is to understand the vegetation status in post mining period at Bisgod, Yellapur taluk, Karnataka. This involved an analysis of flora and structural characterization, diversity and regeneration. This provided insights to the secondary succession in degraded areas, which helps in evolving restoration strategies considering self-recovery potential.


Method

The vegetation status is assessed in Bisgod mining area, Yellapur taluk, Uttara Kannada district, Karnataka of Central Western Ghats. The region receives high rainfall of > 3500 mm annual). Vegetation in this region mainly comprises of tropical wet evergreen, semi-evergreen forest to moist deciduous as the rainfall is high. Scrub with savannas is found in more disturbed areas. The landscape elements also include a mosaic of natural forests with Acacia and teak plantations, rice fields and areca nut gardens.

Studies on forest vegetation were carried out using belt transects. Each transect with a length of 180m had alternating 5 quadrats with 20 m inter-distance (between quadrats). Trees (> 30 cm GBH) were studied in each quadrat of 20 x 20 m. Members of the shrub layer (GBH <30 cm and height more than 1 m) were enumerated in two shrub quadrats (5x5m) placed diagonally inside each tree quadrat. Inside each shrub quadrat two herb plots (height < 1 m) were laid diagonally (1 x 1m). Total of 3 transects with 15 quadrats were laid in different regions of mining area.  Associated features such as presence of epiphytes, climbers, parasites, human disturbances etc. were recorded. Opportunistic survey was also carried out to list species that are not encountered in the transect areas. The data from the transects were pooled into three classes locality wise with herb layer (<1m height), shrub layer (≥ 1m and < 30 cm GBH) and tree layer (≥ 30cm GBH) and analysed accordingly layer wise  (mostly tree and shrub layer) to get the present status of vegetation and regeneration aspects.

Table 1(a): Study area details


SNO

Location

Taluk

Latitude

Longitude

Altitude

1

Nagarkan-Angod

Yellapur

15.03024

74.636

609

2

Balekodlu-Keral-Dehalli

Yellapur

15.00948

74.650

567

3

Hosmane-Angod

Yellapur

14.9993

74.646

545

 

 

RESULTS AND DISCUSSION

Composition and structure of Flora: A total of 151 species of 63 families and 131 genera were recorded in the study area (Table 1 (a)) and habit-wise trees dominate (83 species), followed by shrubs (36 species), climbers (22 species), and herbs (10 species) (Figure 1).  Family-wise Rubiaceae had the highest species number (11), followed by Leguminosae (9), and Anacardiaceae, Apocynaceae, Euphorbiaceae with 7 species each (Figure 2).



Figure 1: Habit wise species distribution in the mined area.


Figure 2: Family richness in the study area

 

Forest structure: Tree layer
Due to higher rainfall in these locations, forests type are predominantly evergreen to semi-evergreen forests. Disturbed patches due to anthropogenic activities consist of disturbed semi-evergreen to moist deciduous forests. Forests in Balekodlu-Keral-Dehalli transect (in mined regions) have attained their average biomass of 48.31 m2/ha (per hectare basal area comparable natural forests in nearby regions). Nagerkhan-Angod area has lowest basal area (30.79 m2/ha.) indicating higher disturbance or insufficient recovery (Table 1 (b)). Acacia plantations are with poor natural regeneration (Figure 3), and poor canopy opening (Figure 4). Planting mixed species varieties in these localities would enrich the ecosystem. The organic matter and nutrient return rate via litter depends on factors that influence decomposition process at the ecosystem level. Plant species selected for reclamation of mined regions should preferably have symbiotic associations with soil microorganisms (i.e., mycorrhizal fungi and N2 fixing bacteria).   

Table 1 (b): Total individuals, total species, average height, tree population per hectare and per hectare basal area in the tree layer of Bisgod transects.

Location

Forest type

Total individuals/transect (2000 m2)

Total species/transect

Average height(m)

Tree population/ha

Per hectare basal area (m2/ha.)

Nagarkan-Angod

Semievergreen to moist deciduous

75

21

15.55

375

30.79

Balekodlu-Keral-Dehalli

Semievergreen to moist deciduous

97

26

15.02

485

48.31

Hosmane-Angod

Semievergreen to moist deciduous

78

20

14.54

390

44.91

 


Figure 3: absence of regeneration in dense Acacia auriculiformis plantation


Figure 4: Very less regeneration in mined pit area

 

Forest diversity and endemism
Generally undisturbed forests are higher in evergreeness, endemism and diversity. However in the studied forest area owing to the past and present disturbance such as mining, forest extractions such as fuel wood collection, logging etc., forest is both less in endemism and evergreeness. Endemism percentage is as low as 13.33 in Nagarkhan-Angod area (Table2). Forest with low endemism is dominated by Olea dioica, Schleichera oleosa, Aporosa lindleyana,etc. However, in the absence any further human impacts such forests gradually pass through progressive succession stages towards higher biomass, diversity and endemism.
Table 2: Species richness, Shannon diversity, Simpson dominance, Simpson diversity, Pielou’s evenness index, percentage Western Ghats endemics, and percentage evergreeness in the study area.

Location

Species richness

Shannon diversity

Simpson dominance

Simpson diversity

Pielou

% Western ghats endemics

% Evergreeness

Nagarkan-Angod

4.63

2.37

0.18

0.82

0.78

13.33

78.67

Balekodlu-Keral-Dehalli

5.46

2.77

0.10

0.90

0.85

24.74

75.26

Hosmane-Angod

4.36

2.43

0.14

0.86

0.81

16.67

85.90

Important value index
In these localities, important value index (IVI) was higher for midlevel succession evergreen species such as Olea dioca and Aporosa lindleyana and deciduousspeciessuch as Schleichera oleosa Terminalia bellirica, Vitex altissima etc. These species indicate progressive forest succession towards better forests from earlier impacts on mining activities. The presence of mid-succession evergreens and associated deciduous trees in higher IVI indicates the prospects of return of evergreen if the region is not subjected to further disturbance. The presence of evergreens in all the transects is an indication of absence of fire which otherwise hardly give chance to evergreen species such as Olea dioica, Aporosa lindleyana, Cinnamomum malabatrum, Aglaia roxburghii, Ixora brachiata, Alseodaphne semecarpifolia etc.

 

Table 3: Location wise tree species and their Important Value Index (IVI)


Nagarkan-Angod

Balekodlu-Keral-Dehalli

Hosmane-Angod

Species

IVI

Species

IVI

Species

IVI

Olea dioica

91.72

Syzygium cumini

45.17

Olea dioica

65.83

Schleichera oleosa

27.14

Olea dioica

43.18

Schleichera oleosa

53.76

Terminalia bellerica

20.69

Holigarna grahamii

24.28

Vitex altissima

22.95

Aporosa lindleyana

17.64

Diospyros montana

17.16

Lagerstroemia microcarpa

18.41

Lepisanthus tetraphylla

15.36

Lannea coramendellica

15.86

Xantolis tomentosa

17.98

Cinnamomum malabatrum

14.79

Terminalia paniculata

15.74

Cinnamomum malabatrum

16.01

Alseodaphne semicarpifolia

12.51

Ixora brachiata

13.35

Aglaia roxbhurgii

12.86

Macaranga peltata

11.86

Flacourtia montana

13.20

Flacourtia montana

12.62

Vitex altissima

11.50

Aporosa lindleyana

12.94

Alseodaphne semicarpifolia

11.15

Ervatamia heyneana

10.30

Terminalia bellerica

12.16

Stereospermum coleus

8.79

Lagerstroemia micrcarpa

10.26

Mammea suriga

11.56

Lannea coramendellica

8.71

Ixora brachiata

7.80

Randia dumatorum

9.89

Holigarna ferrugenia

7.61

Syzygium cumini

6.68

Beilsmedia fagifolia

7.22

Ixora brachiata

7.17

Tectona grandis

6.65

Artocarpus lacoocha

5.97

Mammea suriga

7.03

Terminalia paniculata

6.47

Mangifera indica

5.52

Ficus microcarpa

5.68

Dalbergia latifolia

5.82

Schleichera oleosa

5.15

Caryota urens

5.59

Cassia fistula

5.28

Terminalia tomentosa

5.02

Beilsmedia fagifolia

5.03

Glochidion zeylanica

4.46

Cinnamomum malabatrum

4.72

Ervatamia heyneana

4.30

Randia dumatorum

4.43

Vitex altissima

4.66

Cassina glauca

4.27

Mitragyna parviflora

4.36

Strycnos nux vomica

4.54

Diospyros montana

4.25

Regeneration in Shrub layer
Compared to tree layer, shrub layer has higher species number, evergreeness and endemism which highlights a healthier recruitment (Table 4 and 5). Shannon diversity was highest in Hosmane-Angod area (3.2).  Recruitment of endemic species is higher in Balekodlu-Keral-Dehalli (49.48) compared to tree layer (24.7).  Hence regeneration in forests surrounding the non-mecanised pit is good. Compared to this, in machinery mined pit tree saplings are very less due to heavily compacted hard soil and absence of any leaf litter.  These are sparsely covered by climbers such as Calycopteris floribunda, and tree saplings of Terminalia paniculata, Diospyros montana, Syzygium cumini, Lea indica, etc. However in more densely planted Acacia auriculiformis areas, there are no tree or climber saplings and seedlings.  In manually mined areas without machinery, good regeneration of most forest tree species was observed including evergreen species as seen in Hosmane-Angod area.
This analysis highlights the return of evergreen forest with endemic species of Western Ghats in the non-mechanised mining area in Bisgod (Table 6). The growing stock needs protection from cattle grazing and illicit extraction of forest produce, especially timber, firewood, etc. 


Table 4: Species number and individuals per transect and shrub population per hectare in studied localities


Location

Total individuals/transect (250 m2)

Total species

Shrub population/ha.

Nagarkan-Angod

325

40

13000

Balekodlu-Keral-Dehalli

291

39

11640

Hosmane-Angod

296

45

11840

                                                    
Table 5: Shrub layer Species richness, Shannon diversity, Simpson dominance, Simpson diversity, Pielou’s eveness index, percentage Western Ghats endemics, and percentage evergreeness in the study area.


Location

Species richness

Shannon diversity

Simpson dominance

Simpson diversity

Pielou's eveness index

% endemism

% evergreeness

Nagarkan-Angod

6.743

2.998

0.077

0.923

0.813

27.69

83.077

Balekodlu-Keral-Dehalli

6.698

2.886

0.079

0.921

0.788

49.48

90.034

Hosmane-Angod

7.732

3.227

0.055

0.945

0.848

29.73

73.649

 

Table 6: Tree species with good regeneration in the study area

Sn

Tree species with good regeneration in forested mined areas

1

Aporosa lindleyana

2

Flacourtia montana

3

Ixora brachiata

4

Cinnamomum malabatrum

5

Ervatamia heyneana

6

Olea dioca

7

Aglaia roxburghiana

8

Lepianthus tetraphylla

9

Murraya koengii

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