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| Author: | Ribeiro, S. C. Lovett, A. |
| Title: | Associations between forest characteristics and socio-economic development: A case study from Portugal |
| Journal: | Journal of Environmental Management
2009 : JUL, VOL. 90:9, p. 2873-2881 |
| Index terms: | forest economics forestry industry transition economies planning case studies Portugal |
| Freeterms: | landscape metrics Principal Component Analysis(PCA) Cluster Analysis(CA) scale trends |
| Language: | eng |
| Abstract: | In the article, they investigated associations between socio-economic variables, landscape metrics and measures of forest condition in the context of Portugal. The main goals of the study were to 1) investigate relationships between forest conditions and measures of socio-economic development at national and regional scales, 2) test the hypothesis that a systematic variation in forest landscape metrics occurs according to the stage of socio-economic development and, 3) assess the extent to which landscape metrics can inform strategies to enhance forest sustainability. It is found that 1) a ranking approach and statistical techniques such as Principal Component Analysis were used to achieve these objectives. 2) landscape metrics for different tree species displayed significant variations across socio-economic groups of municipalities and these differences were consistent with changes in characteristics suggested by the forest transition model. 3) the use of metrics helped inform place-specific strategies to improve forest management. |
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