Deforestation · 10 km around the city · 2001–2025
Deforestation around Huizhou
Since 2001, the area within 10 km of Huizhou has lost about 1,390 hectares of forest (about 1,900 football pitches): 34% of the forest it had in 2000. Most of it was lost to logging, so much of it can grow back. About 537 hectares (39%) was deforestation: forest cleared for good for farms, mines or towns.
- Forest in 2000
- 4,040 hawithin 10 km of the centre
- Forest lost since 2001
- 1,390 ha34% of it, about 1,900 football pitches
- Cleared for good
- 537 hadeforestation, 39% of the loss
- Worst year
- 2023136 ha lost
Satellite timelapse
2019: satellite photo from November 2018 of a 5 × 5 km area about 7 km west of the city centre.
Satellite photos of the same 5 × 5 km area, one per year, all taken in the same season so the colours compare. You can see forest being cleared and towns spreading, though not single trees. Download the before/after image (free to reuse with credit to Airleaf).
Year by year
Forest lost around Huizhou, year by year
Forest loss is speeding up: about 95 hectares a year in 2021–2025, up from 40 hectares a year in 2016–2020. The worst year was 2023, when about 136 hectares of forest were lost.
Hectares of forest lost each year
Show the figures as a table
| Year | Cleared for good | Can grow back | Total |
|---|---|---|---|
| 2001 | 8 ha | 20 ha | 28 ha |
| 2002 | 12 ha | 2 ha | 14 ha |
| 2003 | 2 ha | 11 ha | 13 ha |
| 2004 | 11 ha | 19 ha | 30 ha |
| 2005 | 8 ha | 8 ha | 16 ha |
| 2006 | 25 ha | 34 ha | 59 ha |
| 2007 | 50 ha | 45 ha | 95 ha |
| 2008 | 36 ha | 19 ha | 56 ha |
| 2009 | 23 ha | 36 ha | 60 ha |
| 2010 | 18 ha | 5 ha | 23 ha |
| 2011 | 55 ha | 62 ha | 117 ha |
| 2012 | 13 ha | 32 ha | 45 ha |
| 2013 | 5 ha | 15 ha | 20 ha |
| 2014 | 21 ha | 42 ha | 64 ha |
| 2015 | 25 ha | 45 ha | 70 ha |
| 2016 | 16 ha | 26 ha | 42 ha |
| 2017 | 18 ha | 22 ha | 40 ha |
| 2018 | 21 ha | 20 ha | 41 ha |
| 2019 | 19 ha | 30 ha | 49 ha |
| 2020 | 8 ha | 19 ha | 27 ha |
| 2021 | 10 ha | 61 ha | 71 ha |
| 2022 | 9 ha | 97 ha | 106 ha |
| 2023 | 16 ha | 120 ha | 136 ha |
| 2024 | 37 ha | 43 ha | 80 ha |
| 2025 | 68 ha | 16 ha | 84 ha |
Forest gained and lost, 2000–2020
- Forest in 2000
- 6,250 ha
- Forest in 2020
- 5,820 ha
- Overall change
- −425 haless forest than in 2000
Comparing satellite maps from 2000 and 2020, the forest around Huizhou shrank from about 6,250 hectares to 5,820 hectares, a net loss of about 425 hectares (−6.8%). New forest grew on about 346 hectares, but 770 hectares were lost.
These 2000 and 2020 maps, from the University of Maryland, count any land with trees taller than 5 m as forest, including plantations and orchards. Forest that was cut or burned and had grown back by 2020 counts in both years, so the loss here is smaller than the yearly figures.
Causes
What is causing deforestation around Huizhou?
- 39%cleared for good (deforestation)
- 61%can grow back (fire, logging, storms)
- Logging59% · 813 ha
Can grow back. Trees cut for timber or paper. The land usually stays forest and grows back.
- Towns and roads35% · 478 ha
Cleared for good. Forest replaced by houses, buildings and roads.
- Mining and energy4% · 56 ha
Cleared for good. Forest cleared for mines, oil and gas, power lines and dams.
- Wildfires2.2% · 30 ha
Can grow back. Forest burned. It often grows back, though fire is sometimes used to clear land for good.
Also, each under 1%: farms, pasture and plantations, unknown causes.
Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.
Nearby cities losing forest
Use this data
Put Huizhou's forest loss on your site
Free to embed, with a link back to the full figures.
Frequently asked
Questions about deforestation around Huizhou
How much forest has Huizhou lost since 2001?
Since 2001, the area within 10 km of Huizhou has lost about 1,390 hectares of forest (about 1,900 football pitches): 34% of the forest it had in 2000. Most of it was lost to logging, so much of it can grow back. About 537 hectares (39%) was deforestation: forest cleared for good for farms, mines or towns.
Is deforestation around Huizhou getting worse?
Forest loss is speeding up: about 95 hectares a year in 2021–2025, up from 40 hectares a year in 2016–2020. These are five-year averages from 2011 on, the years the satellite maps were all made the same way.
What is causing deforestation around Huizhou?
The main causes of forest loss since 2001 are logging (59%), towns and roads (35%), mining and energy (4%). About 537 hectares was deforestation, meaning forest cleared for good for farms, mines or towns. Causes for 2025 are estimates, based on what caused forest loss in the same places up to 2024.
What was the worst year for forest loss around Huizhou?
The worst year was 2023, when about 136 hectares of forest were lost.
Is the forest around Huizhou growing or shrinking?
Comparing satellite maps from 2000 and 2020, the forest around Huizhou shrank from about 6,250 hectares to 5,820 hectares, a net loss of about 425 hectares (−6.8%). New forest grew on about 346 hectares, but 770 hectares were lost. These 2000 and 2020 maps, from the University of Maryland, count any land with trees taller than 5 m as forest, including plantations and orchards. Forest that was cut or burned and had grown back by 2020 counts in both years, so the loss here is smaller than the yearly figures.
Can I see satellite images of Huizhou over the years?
Yes. The timelapse at the top of this page has a satellite photo for every year from 2019 to 2026 of a 5 × 5 km area near Huizhou, where the most forest was lost. Press play to watch it change, or turn on "Show cleared forest" to see exactly where trees were lost.
How is forest loss measured?
We use satellite maps from the University of Maryland (Hansen and colleagues) that show, for every 30 × 30 m patch of land on Earth, the year its trees were cut down, burned or died, from 2001 to 2025. We add up those patches within 10 km of the centre of Huizhou, counting only places that were at least 30% covered by trees in 2000. The cause of each loss comes from a map made by the World Resources Institute and Google DeepMind. All figures are estimates.