Level III/IV Maps are here: https://www.epa.gov/eco-research/level-iii-and-iv-ecoregions...
At the very least I'll make sure each region page links to this given it's the source that determines what species are shown.
Thanks again for the suggestion. It’ll take some refining but I also included nearby cities so it’s easier to get a sense of scale and proximity.
One slight piece of feedback: it's pretty clear a lot of the text was output of AI. IME (and just _my_ E, of course), this detracts somewhat from the authority of the page, as it makes it seem more like it just came from a conversation with Claude, rather than from your knowledge filtered through building an app. Might be worth doing a couple of passes to tighten up and human-ize it a bit :). (since it's open source, I suppose I could always PR myself if you'd be open to it)
So I take this feedback to heart and just like with the (sourced & generated) French localization I’m working my way through validating everything. This is another benefit of the project being entirely public, you can see precisely in the repo what I did and didn’t think to do in order to ensure accuracy.
When it comes to prose & style, I’ve set some clear accessibility goals in the agent config, and I’ve rewritten some things but it can be hard to fight the needless verbosity of LLMs at times.
I would deeply appreciate if you took the time to send a PR for any kind of improvement or addition). Thanks in advance.
Always great to see fellow technologists in this space!
For the past few years I've maintained a free open source project called Ecodash (https://ecodash.ai) covering the world's native plants, with trait filters.
Code here: https://github.com/legel/ecodash
While I'm also an entrepreneur and *do* believe there is a lot of financial opportunity in this space, I also really just want to see ecosystems thrive.
Keep up the great work!
The most fun I had with Indigene was when I decided to add French ecoregions so my parents could use the app too. Most of the work is in this PR where I used a recently published study’s plant host species data to offer ecosystem value/services metrics since the Tallamy data doesn’t cover that: https://github.com/olivierlacan/indigene/pull/53
That stuff reignitated the kind of deep data hunt fever I haven’t had since my COVID Tracking Project days when I was finding random ArcGIS dashboards and extracting data from their JSON calls to find some reliable case data.
I’m bummed I didn’t find your project before. I kept looking for something when I moved from Florida to Washington after converting my entire yard there. Having to learn a whole new ecoregion was rough and it made me think the barrier should be drastically lower for people who aren’t as motivated.
On the financial opportunity side, I hoped for a while that there may be a way to align our best interest as a species (and our ecosystem) with what our modern societies value but the last decade has made it clear to me that neither governments nor private enterprise are capable to remain as focused as they need to be. Plus leveraging worldwide public-funded science to make a living seems a bit odd if I can instead use my engineering expertise to not require unnecessary waste of resources (servers, more LLM tokens, etc.) as the ecosystem rapidly degrades.
Very kind. Cool technical insights.
I agree 100% that learning ecoregions is too difficult. I believe that AI will help us to simulate ecosystems, just like physics equations simulate gravity.
The Natural Capital project from Stanford is impacting government policy globally, selling the argument that the financial value of ecosystems >> GDP.
In the private sector, I also see reasons to be optimistic. At Ecodash we found a 30% land value boost from biodiverse planting: https://ecodash.ai/biodiverse_gardens_roi.pdf
Please feel free to reach out ([email protected]), would love to chat further, explore collaboration.
I'll move on to other parts soon, like the Bay Area.
https://indigene.app/plants/symphyotrichum-subspicatum
https://indigene.app/plants/juncus-patens
Very helpful for choosing plants.
The next thing I’d like to do is categorize some of the plants that are ideal for foundation planting (water management, vertical taproots) or curb islands (between sidewalks & streets).
So, mini show HN: https://indigene.app is a browser-only, offline & mobile-friendly, no account, no ads, open source tool to help you find native plants that would thrive exactly where you are. I've tried to make it as thoroughly sourced as possible but focus heavily on folks that have less experience with gardening and native plants in general.
I've been adding coverage to a handful of US and French ecoregions for now (what I know) and you can already do plant lookups by GPS, postal code, and ecoregion). The app will help you identify you spot, sun, soil, and specific ecosystem support goals (wildlife, birds, erosion or runoff control, growth) and offer a sortable list you can fine-tune with requirements (max height/width, no thorns, pet safe, spread, zero watering, etc.).
There's a lot more in there I've wanted for years like bloom windows, host species counts, dependent native wildlife, growth-over-time charts, propagation tips, and tons of sourced references that overlap with a lot of the resources Joey Santore and other native plant folks reference.
None of this replaces useful tools like iNaturalist whose excellent open API I use to show what native plants look like in Indigene, but hopefully it encourages folks who have the means and the time to start rebuilding local ecosystems we've neglected or actively destroyed.
PS: because I can't help it, the app has detailed release notes gendered from its changelog at https://indigene.app/release-notes/. It also takes privacy & safety very seriously: https://indigene.app/privacy