THE VIDEO SHELF · forest regeneration
Man Spends 30 Years Turning Degraded Land into Massive Forest – Fools & Dreamers (Full Documentary)
Fools & Dreamers is a 30-minute documentary about Hinewai Nature Reserve in New Zealand, where botanist Hugh Wilson let gorse grow as a nurse canopy to regenerate native forest. It shows the results after 30 years and the local skepticism he faced.
Why HN readers recommended it
Shared in climate and land-use threads as a vivid example of how letting land regrow can restore forest.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Happen Films
- Topic
- forest regeneration
- Format
- documentary
- Level
- general
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 8
- Recommendation years in dataset
- 2019–2025
These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.
From the original HN conversations
Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.
Here’s an encouraging story for New Zealand: [VIDEO] “Fools & Dreamers: Regenerating a Native Forest is a 30-minute documentary about Hinewai Nature Reserve, on New Zealand’s Banks Peninsula, and its kaitiaki/manager of 30 years, botanist Hugh Wilson. When, in 1987, Hugh let the local community …
elijahparker on Hacker News · 2019-09
In Bird populations have declined since 1970 across nearly all habitatsI enjoy sharing the short film in this vein, "Fools and Dreamers", that follows a group that bought some land in New Zealand and let it return to forest over 30 years. [VIDEO]
tastyfreeze on Hacker News · 2020-11
In Is it better to plant trees or let forests regrow naturally?This is a great short film that goes into detail about the project and the challenges faced in getting it off the ground: [VIDEO]
dfcowell on Hacker News · 2021-10
In Downsides to planting trillions of trees
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.