Abstract
Community forestry (CF) is increasingly used in developing countries to achieve both the socioeconomic outcome of poverty reduction and an ecological outcome. There have been many single case studies in a specific region to identify the factors affecting the success or failure of CF. Other studies have used large-N data collected from multiple countries. However, there is a dearth of large-N studies within a single country. In this study, we used a country scale dataset of 197 CF projects, established between 1994 and 2005 across Cambodia, to identify the biophysical factors that affected forest cover changes from 2005 to 2016. A mixed-effects logistic regression model was used for a total of 71,252 randomly sampled data pixels nested in the 197 CF. Results showed that deforestation in CF was likely to increase with increasing size of CF area at lower elevations and on gentler slopes. Deforestation also increased if CF was located close to villages, markets and CF boundaries, but further away from main roads. These findings on biophysical factors can help the government to decide on priority locations for further conservation interventions or for the establishment of new CF projects.
| Original language | English |
|---|---|
| Article number | 273 |
| Journal | Forests |
| Volume | 9 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 17 2018 |
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All Science Journal Classification (ASJC) codes
- Forestry
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Biophysical factors affecting forest cover changes in community forestry : A country scale analysis in Cambodia. / Lonn, Pichdara; Mizoue, Nobuya; Ota, Tetsuji; Kajisa, Tsuyoshi; Yoshida, Shigejiro.
In: Forests, Vol. 9, No. 5, 273, 17.05.2018.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Biophysical factors affecting forest cover changes in community forestry
T2 - A country scale analysis in Cambodia
AU - Lonn, Pichdara
AU - Mizoue, Nobuya
AU - Ota, Tetsuji
AU - Kajisa, Tsuyoshi
AU - Yoshida, Shigejiro
PY - 2018/5/17
Y1 - 2018/5/17
N2 - Community forestry (CF) is increasingly used in developing countries to achieve both the socioeconomic outcome of poverty reduction and an ecological outcome. There have been many single case studies in a specific region to identify the factors affecting the success or failure of CF. Other studies have used large-N data collected from multiple countries. However, there is a dearth of large-N studies within a single country. In this study, we used a country scale dataset of 197 CF projects, established between 1994 and 2005 across Cambodia, to identify the biophysical factors that affected forest cover changes from 2005 to 2016. A mixed-effects logistic regression model was used for a total of 71,252 randomly sampled data pixels nested in the 197 CF. Results showed that deforestation in CF was likely to increase with increasing size of CF area at lower elevations and on gentler slopes. Deforestation also increased if CF was located close to villages, markets and CF boundaries, but further away from main roads. These findings on biophysical factors can help the government to decide on priority locations for further conservation interventions or for the establishment of new CF projects.
AB - Community forestry (CF) is increasingly used in developing countries to achieve both the socioeconomic outcome of poverty reduction and an ecological outcome. There have been many single case studies in a specific region to identify the factors affecting the success or failure of CF. Other studies have used large-N data collected from multiple countries. However, there is a dearth of large-N studies within a single country. In this study, we used a country scale dataset of 197 CF projects, established between 1994 and 2005 across Cambodia, to identify the biophysical factors that affected forest cover changes from 2005 to 2016. A mixed-effects logistic regression model was used for a total of 71,252 randomly sampled data pixels nested in the 197 CF. Results showed that deforestation in CF was likely to increase with increasing size of CF area at lower elevations and on gentler slopes. Deforestation also increased if CF was located close to villages, markets and CF boundaries, but further away from main roads. These findings on biophysical factors can help the government to decide on priority locations for further conservation interventions or for the establishment of new CF projects.
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U2 - 10.3390/f9050273
DO - 10.3390/f9050273
M3 - Article
AN - SCOPUS:85047152311
VL - 9
JO - Forests
JF - Forests
SN - 1999-4907
IS - 5
M1 - 273
ER -