[Animals] Why GIS Technology Is A Vital Tool In The Field Of Wildlife Protection

[Amaterasu イタチ]

 

Geographic Information Systems (GIS) refers to a computer system that collects geographical information and allows us to analyse these spatial datasets. 

GIS is widely used in map-oriented mobile phone applications that enable people to order food, check traffic data or navigate. Constantly updated information via GIS also assists in long-term weather predictions and efficient traffic management within a city. 

This tool has a place in the field of wildlife as well, specifically in the avenue of research. Researchers working for the Indian conservation non-profit Wildlife SOS use this software technology to study and track animals like Sloth bears and elephants.
Out of the four bear species found in India, Sloth bears are the most ubiquitous and widespread. A significant part of the global Sloth bear po[CENSORED]tion namely in the Western Ghats, Madhya Pradesh, Uttar Pradesh, Chhattisgarh, West Bengal and north-east India. With an estimated po[CENSORED]tion of 6,000 to 11,000 in the wild, the Sloth bear is classified as ‘Vulnerable’ on IUCN’s Red List and protected under Schedule I of the Indian Wildlife (Protection) Act, 1972.

Sloth bears are quite adaptive and occupy a wide range of habitats like grasslands, scrublands, dry, and moist tropical forests. However, their ability to also thrive near human habitation also makes them more vulnerable to anthropogenic risks. Continuing habitat loss pushes Sloth bears to frequent human-dominated areas including orchards, agricultural fields and even villages. This leads to numerous encounters with humans, creating a negative perception of the bears.

The field team of Wildlife SOS has been conducting research on Sloth bears to identify conflict points in those forested areas that lie on the fringes of human settlements. One way to track the animals’ movement is through radio collars which can transmit their location, and warn people of their proximity. However, it is an impossible task to radio-collar each Sloth bear in a vast forest. Furthermore, the data acquired may be insufficient to understand the behaviour patterns of these animals. 

To fulfil their study, researchers also rely on collateral data collected from animal markings using camera traps. Camera traps are set up at multiple locations in the hope of sighting a bear and following its movement. Other visual data gathered include claw marks and scratches on trees, pugmarks, Sloth bear dens, dug-up termite mounds, and animal excrement. These findings require researchers to mark each location coordinate for future reference. The raw data collected still requires time, patience and a standardised methodology to assimilate in order to arrive at desired conclusions. In other words, this data is like an uncut diamond that awaits careful polish.

This is where GIS comes in! With the GIS software, all collected coordinates can be placed across a map of the area under study to be analysed. The software organises data in an orderly manner to show the areas where there is a concentration of Sloth bears, locations where conflicts are likely to occur and places where human and bear mortality are high. 
As part of the Himalayan Brown bear study undertaken by Wildlife SOS in Jammu and Kashmir, the research team utilised GIS to study conflict between humans and Brown bears.

The team divided the study area into small units and located the centroid of each unit using the platform of QGIS (or Quantum GIS). 

Through interviews with the local people, camera trap footage and analysis of Brown bears’ tracks, the team was able to collect a wealth of data on high conflict locations, age and gender (not sex) of humans, the activity being undertaken by the victim at the time of the conflict, the details of the Brown bear in question and more. 

By entering the information gathered from villagers and direct observation into the GIS program, the team of researchers were able to map areas where it was most likely for humans and Brown bears to interact. 

 

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