I have a little experience with Timelapse and would say it is definetely worth the invested time.

The developer Saul Greenberg has made a ton of documentation on its use and is also very approachable in person, if you have any issues.

I can only highly recommend it.

Fire detection is a sort of broad idea.  Usually people detect the products of fire, and most often this is smoke.

Many home fire detectors in the US use a radioactive source and measure the absorption of the radiation by the air.  More smoke means more absorption.

For outdoor fire detection, PM2.5 can be a very good smoke proxy, and outdoor PM2.5 sensing is pretty accessible.

This one is very popular in my area. 

Read "Classic - Air Quality Monitor | AQI PM2.5 Indoor/Outdoor Sensor – PurpleAir" on PurpleAir

Classic - Air Quality Monitor | AQI PM2.5 Indoor/Outdoor Sensor – PurpleAir

The PurpleAir Classic air quality monitor is the original and popular PurpleAir sensor. It measures real-time PM2.5 concentrations for residential, commercial, or industrial use and can be installed indoors or outdoors. Built-in WiFi enables the air quality measurement device to transmit data to the real-time PurpleAir AQI Map, which is stored and made available to any smart device. The PA-II is available in two editions. The SD edition includes an onboard SD logger to record and store data without a WiFi connection. Please note: This sensor does not come with a power adaptor. Find a suitable OUTDOOR-rated adaptor here or use your own USB power source (any 5V, 1.2 to 2.4 amp adaptor will work).

PurpleAir

Maybe this is obvious, but maybe it's so obvious that you could easily forget to include this in your list of recommendations: encourage them to hang out here on WILDLABS!  I say that in all seriousness: if you get some great responses here and compile them into a list, it would be easy to forget the fact that you came to WILDLABS to get those responses.

I get questions like this frequently, and my recommended entry points are always (1) attend the WILDLABS Variety Hour series, (2) lurk on WILDLABS.net, and (3) if they express a specific interest in AI, lurk on the AI for Conservation Slack.

I usually also recommend that folks visit the Work on Climate Slack and - if they live in a major city - to attend one of the in-person Work on Climate events.  You'll see relatively little conservation talk there, but conservation tech is just a small subset of sustainability tech, and for a new person in the field, if they're interested in environmental sustainability, even if they're a bit more interested in conservation than in other aspects of sustainability, the sheer number of opportunities in non-conservation-related climate tech may help them get their hands dirty more quickly than in conservation specifically, especially if they're looking to make a full-time career transition.  But of course, I'd rather have everyone working on conservation!

Some good overview papers I'd recommend include: 

• Besson, M., Alison, J., Bjerge, K., Gorochowski, T. E., Høye, T. T., Jucker, T., ... & Clements, C. F. (2022). Towards the fully automated monitoring of ecological communities. Ecology Letters, 25(12), 2753-2775. 
• Speaker, T., O'Donnell, S., Wittemyer, G., Bruyere, B., Loucks, C., Dancer, A., ... & Solomon, J. (2022). A global community‐sourced assessment of the state of conservation technology. Conservation Biology, 36(3), e13871.
  • WILDLABS-led research! Led by @TaliaSpeaker and @StephODonnell 
• Lahoz-Monfort, J. J., & Magrath, M. J. (2021). A comprehensive overview of technologies for species and habitat monitoring and conservation. BioScience, 71(10), 1038-1062.
• Tuia, D., Kellenberger, B., Beery, S., Costelloe, B. R., Zuffi, S., Risse, B., ... & Berger-Wolf, T. (2022). Perspectives in machine learning for wildlife conservation. Nature communications, 13(1), 792.
• Stowell, D. (2022). Computational bioacoustics with deep learning: a review and roadmap. PeerJ, 10, e13152.
  • I'm biased towards bioacoustics because that's what I focus on, but this regardless this is an excellent horizon scan of AI/ML for conservation and acoustics!
• Borowiec, M. L., Dikow, R. B., Frandsen, P. B., McKeeken, A., Valentini, G., & White, A. E. (2022). Deep learning as a tool for ecology and evolution. Methods in Ecology and Evolution, 13(8), 1640-1660.

I'd also encourage you to follow the #tech4wildlife hashtags on social media! 

I'm also here for this. This is my first comment... I've been lurking for a while.

I have 20 years of professional knowledge in design, with the bulk of that being software design. I also have a keen interest in wildlife. I've never really combined the two; and I'm starting to feel like that is a waste. I have a lot to contribute. The loss of biodiversity is terrifying me. So I’m making a plan that in 2024 I’m going to combine both.

However, if I’m honest with you – I struggle with where to start. There are such vast amounts of information out there I find myself jumping all over the place. A lot of it is highly scientific, which is great – but I do not have a science background.

As suggested by the post title.. a “Wildlife Conservation for Dummies” would be exactly what I am looking for. Because in this case I’m happy to admit I am a complete dummy.