Tracking India’s wild side with LTEM

Tracking India’s wild side with LTEM


From the Western Ghats to the Eastern Himalayas, ecologists have been conducting long-term ecological monitoring (LTEM) studies for decades. Now a group of nine researchers from Nature Conservation Foundation, TIFR and Indian Institute of Forest Management have conducted an investigation into how helpful these studies have been and what challenges they face.

They looked into 272 ongoing efforts to monitor India’s ecosystems. These vital projects, however, face significant challenges, from lack of funding to bureaucratic hurdles, impacting our ability to understand and protect India’s biodiversity.

LTEM has been a key component of ecological research worldwide since the mid-1800s, providing important insights into climate change impacts and raising public awareness about environmental issues and the importance of biodiversity. This awareness has contributed to the development of policies aimed at protecting ecosystems and mitigating the impacts of human activities on the environment.

For instance, the Hubbard Brook Experimental Forest in New Hampshire has some of the longest running ecological investigations. Scientists at this research site discovered the widespread presence of acid rain and its effects on soil mineral changes. Academic work led to legislative change in 1990 with the US Congress amending their 1970 Clean Air Act. Another example is the bird and butterfly monitoring efforts in the UK starting from the mid-1900s which have expanded into broader population monitoring programmes in Europe and North America. These monitoring programmes subsequently led to the early insights into biological impacts of climate 100 change, including poleward movement of populations and changes in breeding times. They also 101 continue to provide insights into long-term decline of insect and bird populations on the whole and 102 endangered and endemic species in particular.

Beyond the peaks

LTEM in India, which began in the mid-1900s, now covers 77 unique subjects, crucial for tracking trends and informing conservation. However, researchers face short-term funding cycles and uneven site distribution. The Western Ghats and Eastern Himalayas are well-studied, focusing on forest vegetation and large mammals, while grasslands, deserts, wetlands, and species like macro fungi, amphibians, and reptiles are often neglected. Expanding research to include these overlooked areas and species could provide valuable insights for ecosystem management.

Despite difficulties, LTEM efforts in India has have produced valuable data. The monitoring of Asiatic lions in Gir National Park has provided important data on population dynamics, habitat use, and conservation needs of this endangered species. The project has informed habitat management strategies, identified human-wildlife conflict areas, assessed genetic diversity and guided conservation policy decisions. More than 60% of LTEM projects were involved in creating management plans and policies for state forest departments.

This study highlights the need to expand the scope of LTEM in India. The authors recommend focusing on underrepresented ecosystems, neglected species groups, and overlooked response variables. India has also not had LTEM studies that look into substrates such as water and soil, or ecological processes like decomposition and carbon efflux.

To strengthen these initiatives, the study recommends better funding timelines and streamlined permit processes. They also underline the need for a national collaborative network. This network could facilitate addressing gaps, support data sharing, and integrate with other disciplines which could result in efficient utilisation of LTEM data for conservation policies.

(The writer is based in Guwahati)





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Robots decode nature’s GPS to home

Robots decode nature’s GPS to home


In the world of scientific research, there’s a fascinating intersection between biology and robotics where researchers attempt to decode some of the most intriguing behaviours observed in nature. A recent study published in PRX Life explores one such phenomenon: homing, which is the ability of animals to return to their homes from distant and unfamiliar locations.

In their research paper, “Uncovering Universal Characteristics of Homing Paths using Foraging Robots”, Somnath Paramanick, Arup Biswas, Harsh Soni, Arnab Pal and Nitin Kumar, uncover the universal characteristics of homing paths using an innovative approach: foraging robots that mimic the behaviour of living creatures.

Homing is a vital behaviour for many animals, ensuring their survival by enabling them to return to their safe havens after foraging for food, migration or seeking breeding sites. Although this phenomenon is widely observed and known, the mechanisms behind homing remain only partially understood.

Over the years, researchers have proposed various theories, suggesting that animals rely on a range of cues — olfactory, visual, magnetic and celestial — to navigate. However, the question of whether there are universal features of homing, across species, and how these might be modelled, remains largely unexplored. To dig deeper into this, the research team turned to robots, which offer a controlled and programmable environment for studying complex behaviours that are difficult to isolate in living organisms.

Robotic Foragers

The primary challenge the researchers aimed to address was the lack of understanding of the universal characteristics of homing paths and how these might be optimised across different species and environmental conditions. Specifically, they sought to determine if there was an optimal way to model homing behaviour that would hold true across different animals.

To do this, the team used light-controlled robots that were designed to mimic the foraging and homing behaviours of animals. These robots were programmed as self-propelled objects with movement similar to active Brownian motion (ABM). ABM is a type of motion where a particle moves with a constant speed but its direction is subjected to random changes, simulating the unpredictable nature of an animal’s movement in the wild.

During the foraging phase, the robot searches for a target object within a defined area. Once it locates the object, the robot switches to the homing phase, during which it uses light gradients to navigate back to its starting point or ‘home’.

The road to Precision

The experiment was conducted in a controlled environment where the robot was placed in a circular arena with a diameter of one metre. A light gradient was created, with the highest intensity at the centre of the arena, which represented ‘home’. The robot was programmed to forage for an object (a piece of styrofoam) placed at a random location within this arena. Once the object was found, the robot switched to homing mode, using its light sensors to guide its way back to the centre.

The robot’s movement was governed by ABM, with its direction of motion subject to random changes, controlled by the rotational diffusion constant, creating a realistic simulation of an animal’s foraging and homing behaviour. The researchers varied the rotational diffusion constant to observe how changes in the randomness of the robot’s motion affected its homing efficiency.

One of the most intriguing aspects of the study was the discovery of an optimal level of randomness, beyond which the time the robot took to return home no longer increased with increasing randomness. This indicated a point of enhanced efficiency, where the robot’s homing time became insensitive to noise. The researchers developed a theoretical model based on first-passage time theory, which explained this phenomenon and accurately predicted the robot’s homing trajectories.

This finding was significant because it suggested a universal characteristic of homing paths that could apply across different species and environmental conditions. The research also highlighted the importance of reorientation events, the moments when the robot corrected its direction in response to the light gradient. The frequency of these events played a crucial role in achieving the optimal homing time, providing a statistical basis for understanding the robustness of homing behaviour in nature.

From Lab to Life

The study opens up new avenues for the development of autonomous systems and artificial intelligence. The principles of optimal homing discovered in this research could be applied to improve the efficiency of robotic systems that are used in search and rescue operations, autonomous vehicles and even space exploration, where navigating back to a starting point is crucial.

By uncovering a universal characteristic of homing paths, the study provides new insights into the navigation strategies of animals. This could have applications in fields such as conservation biology, where understanding the homing behaviour of endangered species could aid in their protection and management.

As research in this area continues to evolve, we can expect to see even more sophisticated models and robotic systems that mimic the complexities of living organisms.





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IIT-M, IIT Ropar join hands to create new opportunities for degree students

IIT-M, IIT Ropar join hands to create new opportunities for degree students


Indian Institute of Technology Madras (IIT Madras) and Indian Institute of Technology Ropar (IIT Ropar) in Punjab have entered into a strategic partnership that will enable the IIT-M Bachelor of Science (BS) degree (Data Science and Applications) students to take campus courses at IIT Ropar with a pathway to MS admission.

This partnership will also facilitate the completion of IIT-M BS Degree credits by taking courses at IIT Ropar.

An MoU on the collaboration was signed on Wednesday by V Kamakoti, Director, IIT Madras and Rajeev Ahuja, Director, IIT Ropar.

The highlights of this collaboration includes direct admission for select IIT-M BS (Data Science) degree students to the MS programme at IIT Ropar without GATE and the students can spend upto a year at IIT Ropar, says a release.

‘Visionary step’

Kamakoti, Director, IIT Madras, said as the BS degree programmes intends to democratise higher educational opportunity for all, this initiative by IIT Ropar to admit exceptional students in the BS programmes of IITM to postgraduate degree programmes is a visionary step. It will go a long way in building strong careers for deserving students, especially from rural India.

According to Rajeev Ahuja, Director, IIT Ropar, by joining forces, IIT Ropar and IIT Madras are not only broadening academic and research horizons but also creating opportunities for students and faculty to engage in meaningful exchanges. This will foster both professional and personal growth.

IIT Madras introduced its 4-year BS in Data Science and Applications in June 2020. This programme offers high-quality training through online content delivery and in-person assessments. As on date, more than 30,000 students are actively involved in this programme , contributing to a vibrant and interactive learning environment, the release said.

The institution has been working closely with other premier institutions in the country to enable in-person learning opportunities for students in the final year of the programme. IIT Gandhinagar and Chennai Mathematical Institute (CMI) have already opened their campus courses for eligible students.





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Cost-effective biosurfactants

Cost-effective biosurfactants


Biosurfactants, a healthier substitute for synthetic surfactants useful for the food industry, can be produced using green substrates from agro-industrial waste.

Surfactants are molecules that slither across surfaces of oil and water or air and water to form an emulsion. They are very useful in the food industry as lubricants and foamers to emulsify fats in batters, improve shelf life, as dispersing agents and retain moisture. However, the accelerated usage of synthetic food additives and emulsifiers in dietary goods has led to imbalances in the microbiome of the body, gut-related disorders and affect the intestinal barrier permeability leading to declination of beneficial microbiota. Therefore, an alternative option is essential.

Microbial biosurfactants obtained from various microbial sources are very stable in a wide range of pH, temperature and salinity, making them suitable for food applications. Since biosurfactants are eco-friendly and do not impart toxic effects; therefore, they can be considered safe for human consumption.

A research group led by Prof Ashis K Mukherjee, Director, IASST, Prof MR Khan and Anushree Roy from IASST, Guwahati, critically analysed the application of biosurfactants in food industries, highlighting the challenges in the large-scale commercialisation of biosurfactants. In the food industry, besides bakeries and salad dressings, biosurfactants can be used for heavy metal removal from vegetables to boost immunity in fish, providing a protective effect against the pathogen.

The study explores using green substrates from agro-industrial waste for cost-effective biosurfactant production, utilising genetic engineering, recombinant DNA technologies, and nanotechnology to improve yield, says a press release.





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Porous xerogel dressing

Porous xerogel dressing


Researchers have developed a porous xerogel dressing incorporating silica nanoparticles and calcium, that can help blood clot rapidly and provide relief for excessive bleeding. The composite showed significant improvement in rate of blood clotting in comparison to commercial dressing.

Uncontrolled hemorrhage is one of the leading causes of traumatic death resulting from accidents or injuries and during military or surgical operations. More than 40 per cent of trauma deaths are due to severe loss of blood.

In an attempt to reduce this blood loss, the Agharkar Research Institute, Pune, has developed a highly porous spongy xerogel hemostatic dressing. It is supplemented with substances that bind to a receptor inside a cell (agonists) like silica nanoparticles (SiNPs) and calcium. Scientists from the institute studied composite material and found that it increased the blood clotting index by 13-fold in comparison to commercial dressing clotting capacity.

The well-characterised xerogel showed presence of multiple pores of around 30 µm size that contributed to the high absorbance capacity of the dressing. The supplements improved the clotting capacity and resulted in quick absorbance of blood.

Platelets are an important component of blood and contribute to the blood clotting process. The xerogel hemostatic dressing showed enhanced platelet aggregation due to the development of well-formed pseudopodia in the activated platelets, resulting in agglutination which plays a major role in the clotting process. The dressing can provide a potential hemostatic solution to reduce blood loss, disability and mortality during surgery and trauma care.





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Revolutionising aquatic robotics: Harnessing nature to power the future

Revolutionising aquatic robotics: Harnessing nature to power the future


Imagine a world where tiny robots, gliding across the surface of the ocean, continuously monitor the largely unexplored marine environment. These robots, untethered and autonomous, would silently gather data, driven by an energy source that never depletes, drawing power from the very water they traverse. What if these robots, rather than relying on bulky batteries, could harness the power of biological processes — like a digestive system converting food into energy? This is precisely what Anwar Elhadad, Yang Gao and Seokheun Choi at the State University of New York at Binghamton have explored with their paper, “Revolutionising Aquatic Robotics: Advanced Biomimetic Strategies for Self-Powered Mobility Across Water Surfaces.”

The team has created an innovative system that allows small aquatic robots to generate their own power. Inspired by the way living organisms process energy, these researchers are pushing the boundaries of what autonomous technology can achieve in challenging environments.

Biomimetic tech

As the Internet of Things (IoT) continues to expand, with projections suggesting over a trillion interconnected devices by 2035, the need for autonomous systems that can operate in remote and challenging environments is an imperative.

Aquatic environments, which cover 71 per cent of the Earth’s surface, present unique challenges. Here, traditional battery-powered devices are limited by their finite energy storage and the logistical difficulties of retrieval and recharging. To overcome these obstacles, the Defence Advanced Research Projects Agency (DARPA) has initiated programmes like the Ocean of Things (OoT), with the aim of deploying thousands of smart, floating nodes, equipped with sensors, to monitor marine environments. But the potential of these systems is hampered by the need for energy autonomy, since traditional energy harvesting methods are often unreliable or insufficient in the marine environment.

This has led researchers to explore alternative methods of energy generation, culminating in the development of a self-sustaining energy system.

The heart of this innovation lies in the use of microbial fuel cells (MFCs), which converts organic materials found in aquatic environments into electricity through catalytic redox reactions. The researchers selected the spore-forming Bacillus subtilis as the anodic biocatalyst. This bacterium is particularly resilient, capable of surviving in harsh conditions and reactivating in favourable environments, making it an ideal candidate for long-term energy generation in the fluctuating conditions of the ocean.

To ensure a steady supply of organic substrates necessary for microbial activity, the researchers integrated a biomimetic Janus membrane with asymmetric surface wettability into the system. This membrane allows for selective intake of substrates, mimicking natural processes found in organisms like cacti and water striders. The Janus membrane’s design also contributes to the robot’s ability to move across the water surface easily using a motor powered by the microbial metabolism.

It was found that the combination of Bacillus subtilis and the Janus membrane significantly enhanced the longevity and efficiency of the MFCs. The bacteria’s ability to enter a dormant spore state and reactivate when conditions improve ensures continuous power generation, even in the face of environmental stressors like temperature fluctuations or nutrient scarcity.

The Janus membrane played a critical role in maintaining the robot’s energy supply by allowing a unidirectional flow of organic substrates into the MFC while preventing reverse flow and contamination. This innovation not only improved the robot’s operational efficiency but also ensured its stability and buoyancy, allowing it to glide effortlessly across the water.

Fuelling the future

The implications of this research extend far beyond the field of robotics. By harnessing natural processes for technological advancement, the study sets new benchmarks in the design of autonomous systems. The potential applications range from environmental monitoring and disaster response to security and navigation. Autonomous robots powered by MFCs could revolutionise how we explore and understand marine environments, providing real-time data on everything from pollution levels to the movement of marine species.

Moreover, the principles demonstrated in this research could be applied to other fields, such as biomedical devices or wearable technology, where energy autonomy is a critical concern. The use of microbial fuel cells in these contexts could lead to new, self-sustaining systems that reduce our reliance on traditional energy sources and enhance the resilience of our technological infrastructure.





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