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Biodiversity threat through exotic species monitoring and management using Remotely Sensed data and GIS techniques - A case study of Banni (Kachchh) Gujarat, India


Methodology
Looking in to the typical problems of Banni grasslands and subsequent discussions held with experts, participating agencies and also with the agencies working in Banni development activity at Bhuj, it is felt that the problems of Banni can be addressed by four major action plans which are required for implementing for Banni development.

They are:
  1. Palatable good Grasslands protection and conservation
  2. Arresting Prosopis juliflora invasion into grasslands ( both Palatable and Salt tolerant )
  3. Phase - wise removal of Prosopis in non - saline areas and
  4. Rain water harvesting for salinity leaching and increasing grass production
The methodology flow chart is given below:


Fig - 01: Schematic Representation of Methodology for Banni Development Plan

Results, Discussions and Suggestions

Based on the analysis carried out the following results were found.

§Prosopis invasion

Invasion of Prosopis can be attributed to various allogenic and autogenic factors operating at spatial scales ranging from the small patch to entire landscape. Allogenic factors include climatic changes, over grazing etc. Allogenic factors operating to favor Prosopis invasion over good grasslands is an increase in the spatial and temporal heterogeneity of soil salinity, cattle droppings etc.. which promotes the invasion of Prosopis.

Prosopis invasion in Banni using multi-temporal Satellite data of 1980,1985 1988 and 1998 (Normal, Drought, Normal) have been calculated. The percent of area under P.juliflora are as follows:

Year Area (Ha.) %
1980 37893 9.85
1985 35046 9.11
1988 76786 19.96
1998 118675 31.23

Looking at the present scenario and comparing with our own previous studies, it is very interesting to calculate the future trend of invasion in the Banni (W) area. To do the trend analysis of Prosopis invasion in Banni, Kachchh, we have considered an imperial equation, which had been validated by using 1988,1998 & 1999 Satellite data. Based on that equation we have predicted P-invasion in Banni upto 2020.The results are as follows:

Year Area (ha.) %area
1998 118799.40 31.2630
2005 149275.78 39.2831
2010 171017.48 45.0046
2015 192736.38 50.7201
2020 214432.71 56.4297

This shows very alarming situation for Banni Grasslands. By the year 2020 more than 56% of the total geographical area of Banni would be under prosopis and destroys entire bio-diversity, and grassland eco-system of the area, if proper controlling measures were not taken immediately. One of the measures suggested was Mass weeding of Prosopis immediately after post - monsoon so as to control its invasion in new areas where good and palatable grass is growing at present. Fig-02 shows spatial distribution of areas for mass weeding of P.juliflora immediately after the post-monsoon.

§Phase - wise removal of prosopis

Looking at the stock of Prosopis in Banni, it is very essential to remove (uprooting or cut and burn with kerosene) from non - saline areas. But, removing entire Prosopis at once may cause ecological problems. So, it is suggested to remove Prosopis phase - wise (may be 1kmX1km plots) starting from matured patches to complete with in Four or Five years. Fig-03 shows priority areas for phase-wise removal of P.juliflora from pure patches of prosopis and prosopis invading in good grasslands.

§Protecting and Controlling open Grasslands

It is observed from the analysis that, if the rainfall is normal, there is a good grass growth in non-saline patches of land in Banni. Because of over grazing by domestic and migrated cattle from surrounding districts and also from Rajasthan, the grass is getting exhausted before it fully grows to a particular stage. To overcome this problem it is essential to protect open (uncontrolled) grasslands to arrest the entry of cattle freely from all sides of the patches. So, it is suggested to fence these patches. Moreover, it is required to do furrowing in these lands for moisture retaining and thereby better production in the subsequent years.

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