The usefulness of EIA as a robust and reliable tool for integration of environmental concerns in development planning has already been established the world over. Methodologies for EIA

are being constantly developed and refined to address the anticipated impacts of developments in different sectors on the valued components of the environment. The ecological impact assessment has now emerged out as a more specialized discipline within the larger domain of EIA. Increasing interest in this subject area has resulted in some recent efforts to develop appropriate methodologies (Bagri & Vorhies 1997; IEA 1995; Treweek 1999) for undertaking ecological assessments. The methodological approach adopted for this study (Fig. 2) conforms to the broad framework suggested for ecological assessments by the aforementioned workers.
2.1 Methodological Framework
2.1.1 Desk Studies The profile of the proposed project, final pipeline route map provided by the authorities of BPCL and the corresponding topographical maps of the area on 1:50,000 scale that provided the spatial information of the area within the pipeline corridor were the primary sources of information for planning this study. Prior to embarking on field observations, all the areas of conservation interest along the pipeline route were identified on 1:50,000 topographic sheets for planning field based observations. The secondary sources of information included scientific and technical reports, working plans of the state forest departments and census records.
Extensive literature search provided the much-needed insight into floral and faunal values of the area. Discussions with the officials of the state forest departments, local NGOs, scientific and research personnel of academic institutions, naturalists and local people provided additional information on the regional ecology.
2.1.2 Site Visit Once the final route alignment for the proposed pipeline was determined, site visit was undertaken within the identified pipeline corridor between the take off point at Manmad and the receiving point at Manglya in the month of March 2001. During this visit, extensive consultation with project authorities, forest officials and local communities was organised for improving understanding about the project and the environmental dimensions of the project area (Annexure 1).
2.1.2.1 Study Limits The spatial limit for field studies confined to one kilometre wide pipeline corridor. The width of the corridor was primarily decided on the basis of limits of physical disturbances associated with the activities proposed under the project implementation, and this could be ascertained based on the past experiences of earlier assessments of pipeline projects.
The summary of the landuse within the route corridor of the pipeline is presented in Table 2.1 and the break up of the major landuse are presented in Table 2.2. It is evident that a substantial length (309.963 km) of pipeline traverses through cultivated areas in Maharashtra and Madhya Pradesh. The areas of pipeline corridor supporting the above landuse category was not considered for extensive field investigations, as this category of landuse does not fall within the scope of work outlined for this study. The aquatic and terrestrial wildlife habitats including the areas under wetlands (rivers, reservoirs and ponds) and the Reserved Forests were identified within the route corridor for detailed ecological studies.
Table 2.1 Land use pattern in the pipeline corridor (1 km on either side) based on remote sensing studies
Landuse category |
km2 |
% area |
Agricultural fallow |
137.99 |
19.37 |
Barren land |
30.00 |
4.21 |
Cropland |
180.08 |
25.28 |
Cropland in forest |
0.11 |
0.01 |
Degraded forest |
31.60 |
4.43 |
Dense scrub |
27.93 |
3.92 |
Forest blank |
19.45 |
2.73 |
Open forest |
13.32 |
1.87 |
Open scrub |
113.95 |
16.00 |
Plantation/orchards |
51.81 |
7.27 |
Rocky/stony waste |
91.42 |
12.83 |
Sand |
3.01 |
0.42 |
Settlements/urban lands |
6.49 |
0.91 |
Water |
4.93 |
0.69 |
Grand total |
712.16 |
100 |
Source: Bharat Petroleum Corporation Ltd.
Table 2.2 Landuse pattern along the total pipeline route in the two states
Landuse |
State |
|
Maharashtra |
Madhya Pradesh |
|
Chainage reference (km) |
Pipeline length (km) |
Chainage reference (km) |
Pipeline length (km) |
|
*Cultivated area |
- |
136.24 |
- |
173.83 |
Forest |
33.75 - 34.09 |
0.26 |
175.38 - 176.73 |
1.35 |
57.06 - 57.62 |
0.57 |
176.73 -180.30 |
3.57 |
80.04 - 81.43 |
1.53 |
200.88 – 201.22 |
0.33 |
94.03 - 94.18 |
0.18 |
201.49 – 202.28 |
0.79 |
144.02 - 145.68 |
1.70 |
241.11 – 241.27 |
0.16 |
149.02 - 150.05 |
1.68 |
242.17 – 242.68 |
0.51 |
152.07 - 152.07 |
1.26 |
242.83 – 243.04 |
0.17 |
153.33 - 153.330 |
2.60 |
283.14 – 283.21 |
0.08 |
158.65 - 158.66 |
5.43 |
288.11 – 289.79 |
1.68 |
166.64 - 166.95 |
1.65 |
290.25 – 290.38 |
0.13 |
|
|
290.40 – 290.95 |
0.54 |
|
|
291.77 – 292.84 |
1.07 |
|
|
295.52 - 296.59 |
1.07 |
|
|
|
297.07 – 297.10 |
0.02 |
|
|
|
290.08 – 290.25 |
0.16 |
Major rivers |
Chainage reference at crossing (km) |
Length (km) |
Chainage reference at crossing (km) |
Length (km) |
Girna |
29.13 |
0.56 |
|
|
Tapi |
131.49 |
0.56 |
|
|
Narmada |
|
|
0.26 |
0.60 |
Minor rivers |
Panjhan |
2.08 |
0.20 |
|
|
Vaghda |
5.36 |
0.06 |
|
|
Sukhi |
17.98 |
0.08 |
|
|
Bori |
64.84 |
0.06 |
|
|
Panjhara |
120.94 |
0.335 |
|
|
Arunavati |
156.06 |
0.14 |
|
|
Goi |
|
|
0.19 |
0.13 |
Deb |
|
|
0.22 |
0.19 |
Bhogali |
|
|
0.23 |
0.06 |
Borar |
|
|
0.25 |
0.08 |
Sukli |
|
|
0.256 |
0.20 |
Karam |
|
|
0.29 |
0.19 |
Kusumya |
|
|
0.29 |
0.64 |
Ajanar |
|
|
0.29 |
0.79 |
Dhamni |
|
|
0.30 |
0.29 |
Chambal |
|
|
0.31 |
0.01 |
Gambhir |
|
|
0.33 |
0.05 |
Khan |
|
|
0.35 |
0.05 |
Pond/Reservoirs |
Balsamud |
|
|
0.21 |
- |
Segwal |
|
|
0.25 |
- |
Sanjay |
|
|
0.319 |
- |
* The chainage reference for area under cultivation is not relevant to this study
2.1.3 Characterisation of Ecological Receptors
During the course of field work, the two ecologically distinct categories of habitats identified within the pipeline corridor included the forest areas (Table 2.3) and the major water bodies (Table 2.4).
Table 2.3 Forest areas en route the proposed pipeline
S.No |
Forest range |
Village |
Chainage
|
Length (km) |
|
|
|
Start chainage |
End chainage |
|
1 |
Malegaon |
Savandgaon |
33753.58 |
34009.68 |
0.26 |
2 |
Dhule |
Kulthe |
57060.23 |
57625.23 |
0.57 |
3 |
Dhule |
Anchde |
80004.38 |
81431.18 |
1.53 |
4 |
Dhule |
Ambode |
94003.81 |
94184.81 |
0.18 |
5 |
Shirpur |
Natwade |
144026.22 |
145686.15 |
1.70 |
6 |
Shirpur |
Hadkhed |
149002.97 |
150585.00 |
1.68 |
7 |
Shirpur |
Hadkhed |
152070.19 |
153330.12 |
1.26 |
8 |
Sanghvi |
Panakhed |
153330.12 |
155926.99 |
2.60 |
9 |
Sanghvi |
Sanghvi |
158654.87 |
164088.46 |
5.43 |
10 |
Sanghvi |
Palasner |
166947.42 |
168600.90 |
1.65 |
11 |
Varla |
Nandiya |
175383.64 |
176730.80 |
1.45 |
12 |
Sendhwa |
Nandiya |
176730.79 |
180301.22 |
3.57 |
13 |
Sendhwa |
Jamli |
200885.22 |
201221.95 |
0.34 |
14 |
Sendhwa |
Salikala |
201492.63 |
202286.10 |
0.79 |
15 |
Thikri |
Segwal-I |
241113.42 |
241272.74 |
0.26 |
16 |
Thikri |
Segwal-II |
242174.16 |
242688.46 |
0.52 |
17 |
Thikir |
Segwal-III |
242831.42 |
243004.20 |
0.17 |
18 |
Kakarda |
Bakaner |
283136.04 |
283218.53 |
0.08 |
19 |
Dhamnod |
Jamanjiri |
288108.88 |
289791.91 |
1.68 |
20 |
Dhamnod |
Dhal |
290250.76 |
290389.53 |
0.01 |
21 |
Dhal |
Junadhal |
290406.37 |
290952.03 |
0.55 |
22 |
Dhal |
Bhurakuva |
291772.36 |
292842.76 |
1.07 |
23 |
Dhal |
Pirghata |
295520.48 |
296593.77 |
1.07 |
24 |
Dhamnod |
Junapani |
297076.79 |
297103.05 |
0.03 |
25 |
Manpur |
Dhal |
290085.53 |
290250.76 |
0.17 |
Total length of pipeline through forest area |
28.62 km |
Table 2.4 Major water bodies en route the proposed pipeline
S.No. |
River |
Approx. width (m) |
Seasonality |
Chainage reference (m) |
Maharashtra
|
1 |
Panjhan |
203.88 |
Seasonal |
2088.43 |
2 |
Vagda |
65.00 |
-do- |
5358.20 |
3 |
Sukhi |
78.34 |
-do- |
17981.67 |
4 |
Girna |
563.02 |
-do- |
29139.55 |
5 |
Bori |
59.48 |
-do- |
64839.66 |
6 |
Panjhara |
334.80 |
-do- |
120944.35 |
7 |
Tapi |
558.01 |
Perennial |
131492.01 |
8 |
Arunavati |
146.07 |
-do- |
156067.35 |
Madhya Pradesh
|
9 |
Goi |
131.09 |
Seasonal |
194142.11 |
10 |
Deb |
187.151 |
-do- |
224728.33 |
11 |
Bhogali |
55.81 |
-do- |
228345.50 |
12 |
Borar |
79.34 |
-do- |
247411.97 |
13 |
Sukli |
20.00 |
-do- |
256000.00 |
14 |
Narmada |
950.33 |
Perennial |
255837.72 |
15 |
Karam |
192.26 |
Seasonal |
276941.08 |
16 |
Kusumya |
40.06 |
-do- |
287000.00 |
17 |
Ajanar |
78.96 |
-do- |
291594.66 |
18 |
Dhamni |
30.01 |
-do- |
300058.13 |
19 |
Chambal |
16.41 |
-do- |
304407.90 |
20 |
Gambhir |
72.74 |
-do- |
328221.25 |
21 |
Khan |
114.76 |
-do- |
354383.87 |
Reservoir/ponds |
22 |
*Balsamud |
- |
Perennial |
211.80 |
23 |
*Segwal |
- |
-do- |
246.80 |
24 |
*Sanjay |
- |
-do- |
319.00 |
* The proposed pipeline is aligned along these water bodies and does not traverse them at any point
2.1.4 Development of Ecological Baseline Development of ecological baseline would involve characterisation of the ecological conditions that pertain in absence of any superimposed activity or set of activities. This becomes important for consideration of `zero development scenario’ for impact prediction. This required characterization of ecological features of terrestrial and wetland habitat within the pipeline corridor.
2.1.4.1 Characterization of Terrestrial Habitats For characterisation of forested ecosystems, measurement of habitat features were made using standard methods (Mueller-Dombois & Ellenberg 1967; Hays et al. 1981).
Faunal diversity was estimated using the direct and indirect evidences (pellets, droppings, scats, animal tracks and signs) within the pipeline corridor. Information on presence/absence of different faunal group representatives in the area was also substantiated by information extracted from local people. For this, pictorial representations of animal species with probable distribution in the area were also used to elicit information about the distribution of species in the area. The evaluation of the conservation importance of the forest areas en route was made following the criteria (Box 2.1) suggested by Ratcliffe (1977) and subsequently adopted by several workers (Margules & Usher 1981; Treweek 1999).
Estimation of existing level of biotic pressures (wood cutting, grazing, lopping, hunting etc.) was also made to assess the nature of existing threats to wildlife values of the terrestrial habitats. Considering that wetlands are a home to a wide variety of aquatic species of birds, reptiles, amphibians and fishes, their ecological characteristics have been an important consideration in the EIA studies.
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Box 2.1 Criteria for evaluating nature conservation importance. (After Ratcliffe 1977).
Primary criteria
Size. Including both area of vegetation types and populations sizes for individual species
Diversity. Applied either as simple species richness, or by giving different weightings to species according to their ‘interest’
Rarity. Applied either to habitats or to species.
Naturalness. Habitats that are least intensively modified by humans are generally more highly regarded
Typicalness. A measure of how well the study area represents habitats or vegetation types on a wider scale
Fragility. Some habitats or species are especially vulnerable or sensitive to anthropogenic change. Those with restricted area or ranges are generally held to be more vulnerable.
Secondary criteria
Recorded history. Can be useful in confirming that a site has been ‘important’ for some time. Sites with a long history of study may contribute significantly to our understanding of ecological process.
Potential value. Relates to the likelihood that appropriate management could restore or enhance an area’s ecological interest.
Position in geographical or ecological unit. Some areas of fairly low ‘intrinsic value’, may be more important because they form successional stages between more important areas. Also, nationally common habitats or species might be very rare locally.
Intrinsic appeal. Habitats or species with public appeal promote the cause of nature conservation and can ‘pull’ funds. This criterion can also be interpreted to include estimates of public use, access, amenity value, etc.
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2.1.4.2 Characterization of Aquatic Habitats Hydroperiod is the single most important parameter that has a significant bearing on the wetland characteristics. The frequency, depth and duration of water’s influence determine to a significant extent the biological values and the functions that the wetland provides (Cowardin et al. 1979; Marvel 1992). This parameter was considered in the evaluation of the status of wetlands en route the pipeline. For all major rivers en route the pipeline, the River Corridor Survey (RCS) was developed based on the approaches adopted by National Rivers Authority (NRA 1992). A river corridor consisted of a stretch of river, its banks and the adjacent land (about 50 m) wide. Different parameters which have been recorded for the three sections of river are presented in Table 2.5.
Table 2.5 River corridor survey zones
Sections |
Parameters recorded |
Aquatic |
Flow and current features (low, moderate and high); physical features; width and depth; substrate type (sandy, muddy, rocky bottom); wildlife values(fishes, amphibians, reptiles, birds and mammals) |
Bank |
Tree species and other associated plant communities |
Adjacent land |
Habitat types/landuse |
2.1.4.3 Evaluation of Valued Ecosystems and their Conservation Significance
Identification of valued ecosystems and habitats of conservation significance was attempted based on the established criteria (Box 2.2) for prioritising ecosystems or their components that merit consideration of potential impacts of projects on them.
Box 2.2 Criteria for prioritizing potentially important ecosystems or their components |
High priority |
Low priority |
Natural or pristine |
Altered by human activity |
Undisturbed |
Disturbed |
Large, unfragmented areas |
Small, highly fragmented areas (unless last remaining examples of habitat or system very rare elsewhere) |
Characteristics (e.g. of a particular tradition of management) |
Not associated with any particular management tradition |
Unique (e.g. unusual combinations of species or highly localized habitats associated with particular conditions) |
Commonly occurring |
Ancient |
Newly created |
Species-rich |
Species-poor |
Diverse |
Less diverse (unless low diversity is characteristic of community or habitat) |
Keystone |
No key role/position or importance for other components |
Rare or restricted in distribution |
Common or widely distributed |
Declining throughout range |
Stable throughout range |
Highly specialized |
Generalist |
Threatened throughout range |
Not threatened |
Non-resilient (slow to recover) |
Resilient (quick to recover) |
Irreplaceable (or very slow/expensive/difficult to replace) |
Replaceable (quick, cheap and easy to replace) |
Poorly understood |
Well understood |
2.1.5 Impact Evaluation Impact prediction essentially involves the assessment of future baseline conditions as influenced by activities under proposed development. This step involves development of a mental picture of project induced impacts on select ecological indicators identified for different valued ecosystems or critically important wildlife habitats. Development of impact matrices has been an accepted approach for the evaluation of impacts of pipeline projects (Rajvanshi 1999). Therefore a similar approach has been adopted for the impact evaluation in this study. Fig. 3 provides a generalised matrix representing the project actions and ecological indicators that have been considered in the evaluation of impacts of the pipeline project on specific areas of interest.
Finally, the evaluation of impacts against ecological thresholds and the determination of significance of potential impacts was based on established criteria (Ratcliffe, 1977; Margules and Usher, 1981) adopted in similar projects (WII 1995a; WII 1997).
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