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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 habitats
  • I 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.