REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI

Significant land use changes in Fiji Islands caused soil degradation, pollution and biodiversity losses. The planting of trees is an option of sustainable land use with long term ecological and economic advantages. Spatial models based on ecological requirements of tree species facilitates decision...

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Main Author: D. L. Cornelio
Format: Article
Language:English
Published: Copernicus Publications 2020-08-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/539/2020/isprs-archives-XLIII-B4-2020-539-2020.pdf
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spelling doaj-696e9d60c9874d01982703fa556f546f2020-11-25T03:42:27ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342020-08-01XLIII-B4-202053954310.5194/isprs-archives-XLIII-B4-2020-539-2020REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJID. L. Cornelio0Faculty of Agriculture, Forestry & Fisheries, SINU, R113 Honiara, Solomon IslandsSignificant land use changes in Fiji Islands caused soil degradation, pollution and biodiversity losses. The planting of trees is an option of sustainable land use with long term ecological and economic advantages. Spatial models based on ecological requirements of tree species facilitates decision making, planning and risks management before planting. A land suitability analysis with Geographic Information System (GIS) was carried out to identify areas in <i>Vitilevu</i> island for the planting of eleven native and exotic tree species. Altitudes, rainfall and forest cover maps were used as discrimination factors in boolean operations. The species with higher ecological potential for plantation were <i>Syzygium decussatum</i> (22% of the total area), <i>Tectona grandis</i> (19% of the total area), and <i>Metroxylon vitiense</i> (18% of the total area). The model is robust but can be enhanced by adding thematic layers of other environmental factors.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/539/2020/isprs-archives-XLIII-B4-2020-539-2020.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. L. Cornelio
spellingShingle D. L. Cornelio
REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet D. L. Cornelio
author_sort D. L. Cornelio
title REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI
title_short REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI
title_full REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI
title_fullStr REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI
title_full_unstemmed REFORESTATION PLANNING BASED ON PLANT HARDINESS ZONES IN VITILEVU ISLAND, FIJI
title_sort reforestation planning based on plant hardiness zones in vitilevu island, fiji
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2020-08-01
description Significant land use changes in Fiji Islands caused soil degradation, pollution and biodiversity losses. The planting of trees is an option of sustainable land use with long term ecological and economic advantages. Spatial models based on ecological requirements of tree species facilitates decision making, planning and risks management before planting. A land suitability analysis with Geographic Information System (GIS) was carried out to identify areas in <i>Vitilevu</i> island for the planting of eleven native and exotic tree species. Altitudes, rainfall and forest cover maps were used as discrimination factors in boolean operations. The species with higher ecological potential for plantation were <i>Syzygium decussatum</i> (22% of the total area), <i>Tectona grandis</i> (19% of the total area), and <i>Metroxylon vitiense</i> (18% of the total area). The model is robust but can be enhanced by adding thematic layers of other environmental factors.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B4-2020/539/2020/isprs-archives-XLIII-B4-2020-539-2020.pdf
work_keys_str_mv AT dlcornelio reforestationplanningbasedonplanthardinesszonesinvitilevuislandfiji
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