Where are India’s biologically-significant Open Natural Ecosystems (ONEs)?
Thread 👇🏽 on a new, open, and analysis-ready dataset on the distribution of India’s beautiful and beleaguered semi-arid Open Natural Ecosystems. (Representative image for each of the ecosystem types).
A large fraction of India’s landmass is semi-arid (annual rainfall < 1000 mm). The native vegetation in this zone is made up of grass, herbs and shrubs. They are often naturally without trees, and if at all trees do occur, cover is sparse. Yet, ONEs are staggeringly diverse.
Mirroring the diversity of habitats, ONEs also have a remarkable diversity of animal species, many of which are unique to the Indian subcontinent.
ONEs also are our primary rangeland habitats, which sustain grazing-based livelihoods of millions from of pastoral and agro-pastoral communities across the country.
These communities, with their diverse and rich pastoral and agro-pastoral cultures, have also had a long history of coexistence with these ecosystems, and their unique wildlife.
Besides being home to unique life-forms, and providing sustenance to local communities for millennia, they provide valuable ecological services. Research shows that, under certain environmental conditions, ONEs can sequester *more* carbon, than if trees were planted on them!
Yet, India’s ONEs continue to be misunderstood, misrepresented, and destroyed routinely. Successive governments have officially termed them 'wastelands', and led the charge against them, seeking to make them ‘productive’ and to ‘develop’ them, thereby incentivising their erasure.
Such ill-informed efforts to ‘develop’ ONEs result in a range of ecological incursions, such as the road cutting across this grassland here. But, in recent times, the two most significant threats to ONEs come from, wait for it, renewable energy and tree-planting projects.
Renewable energy technologies—wind and solar power, in particular—have become pivotal in a low-carbon energy economy. But, both wind and solar power are heavily reliant on the availability of open spaces. What better places to target for such ‘development’ than our ‘wastelands’?!
But here is the catch: to generate hundreds of gigawatts of power at the grid-scale, we end up with a geographical & ecological footprint of energy production—even with wind and solar technologies—that are environmentally and socially just as huge as that of a large hydel dam.
This (entirely avoidable) overlap of renewable energy projects and critically endangered fauna like the Great Indian Bustard has led to serious contestations going all the way to the Supreme Court. More on that here:
But the scales are already tilted heavily against ONEs. Our remaining ONEs are rapidly being lost to colossal renewable energy projects that may be well-meaning but are ill-conceived and poorly-implemented.
Likewise, in recent years, there has been a spurt in ill-conceived plans of tree-planting—even where they were never meant to be—as a way of capturing atmospheric carbon into biomass. As a result, wildlife habitats in ONEs are being destroyed as they get planted over with trees.
A key knowledge gap that has constrained us from more effectively protecting our valuable open natural ecosystems is the absence of a reliable map of the distribution and extent of our Open Natural Ecosystems. This, specifically, is the gap that our dataset hopes to bridge.
To make the visualisation and inspection of our data at state/district levels easy, particularly for journalists and policy-makers, we built an interactive app, which is available at http://tiny.url/open-natural-ecosystems.
For researchers, our data are available as an analysis-ready image within the Google #EarthEngine platform. From here, specific areas of interest can be exported and downloaded, or the layer called in QGIS via the GEE plugin.
More detail about our motivations and methods is available in this preprint: Mapping the distribution and extent of India’s semi-arid open natural ecosystems essoar.org/doi/10.1002/es…
We—@atree_org & @abi_vanak—see this map as the first step in a long road to making our ONEs first-class ecological citizens, worthy of care and conservation. This is work in progress, to be iterated and improved upon. So please do share your comments, corrections, or suggestions.
This video unfortunately didn’t seem to load in the threaded tweet…
• • •
Missing some Tweet in this thread? You can try to
force a refresh
In 20 y, mega construction has gobbled up parts of the Bellandur wetland, with a particularly egregious example (encircled)—a high-profile tech park, presumably—coming up right across the wetland’s main drainage channels.
And yet, we make this about ‘rajakaluve’ encroachments.
The fact is, it is more the big-ticket, formal urban development—all presumably ‘legal’—that has invaded the Bellandur and other wetlands of Bangalore, and less the small-time, informal urban settlements, whom we so love to blame for the current calamity. (Images: Google Earth)
Our planners and project proponents imagine they can train and discipline wide and unruly wetlands to flow obediently in developer-assigned channels… One heavy rain is all it takes to show that we cannot endlessly use engineering to thumb our noses at ecology and hydrology.
LONG THREAD: Since 1987, India has assessed its forest cover every two years in its India State of Forest Reports (ISFR), produced by the Forest Survey of India (FSI). The 17th ISFR was released three days ago.
Here I take a closer look at the entire stack of ISFR reports…
The ISFR reports present lots of stats, but in this thread, I focus on the headline statistic: trends in India’s total forest cover over time.
So, let’s go… here, in one graph, is a 35y summary of the official line on our forest cover: from 1999, it has been nonstop good news.
India’s forest cover declined until 1997, after which it rose an whopping 45,000 km² over the next three reports. Two key changes in 2001 contributed to this: FSI adopted a fully digital analysis workflow, and it dramatically changed its definition of a forest (more on this soon)
A thread about the new 10m global landcover dataset released by ESRI and Microsoft, a quick look at how it fares for India, and some thoughts on making it better.
2/ Yesterday, @ESRI and @Microsoft, together with @ImpactObserv, released a globally-consistent landcover dataset at 10m resolution, obtained from classifying Sentinel2 imagery.
Foremost, what is fantastic and exemplary is that they released their data under a CC-BY 4.0 license.
3/ The possibilities of a 10m global landcover dataset are tantalising. And expectations high. Especially, when it describes itself by headlining detail and accuracy.
Why would a shoddily-written, poorly-titled hit-piece—targeting a critically endangered bird and its mistreated grassland habitat, both struggling on the fringe of India's conservation consciousness—make it so big across so many news channels?
2/ To begin with, Bloomberg Green fearlessly ran down the Great Indian Bustard, saying that efforts to save this ‘slow’, ‘easily-frightened’ bird with ‘bad eyesight’ held risks for ‘green energy’ projects, God's very own gifts to the ‘wastelands’ of an energy-hungry nation.
3/ Instead of making other news outlets cautious, this piece was syndicated across multiple big business news channels. It was mostly run as-is, but the title was often creatively spun to ensure the bird got a good rap and a bad rep.
Last week, one of the finest, gentlest humans I've ever known—Suresh Puttaswamy—lost his fight to Covid-19. His loss is devastating, not only to his family, but literally to tens of thousands of people with whom—and for whom—he toiled tirelessly, but quietly, his entire life …1
Although Suresh never received the recognition he truly deserved, he was a leader who cared deeply, both for nature and about people. His contributions to the conservation of Bandipur Tiger Reserve, and to the well-being of its adjoining villages, are, in my view, unrivalled …2
Growing up, Suresh understood two things well: hardship and nature. Dividing time between parents working on a tea-estate in the Nilgiris, and his grandmother living in a fringe village of Bandipur Tiger Reserve, he knew all too well what it was like to live on the edge …3
Two hours in the queue. The time slots given by the stupid CoWIN website don’t mean a thing in the difficult reality of your vaccination centre. Good old jostling is the only way. And oh, if know a shameless bureaucrat, they can always help you jump the queue.
Besides the elderly, the people whose life this registration website/app makes unspeakably worse are the immunisation workers. They have been forced to handle the unrealistic unmet expectations set by this site, and the public anger it precipitates.
And the hours people are forced to spend in close contact will itself multiply transmission risks greatly. And remember, the deluge hasn’t yet been let loose. It will be the cruelest irony that immunisation is itself becoming such a transmission risk.