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Data · dataset · 2021

Data Analysis of the Evaluation of Sustainable Riparian Revegetation with Local Fruit Trees around a Reservoir of a Hydroelectric Power Plant in Central Brazil

Listed in Teesside University Research Data Repository

An experiment was carried out in two sites with fifteen native species, selected for having ideal phytosocio-logical properties, however, nine of them showed a survivability considered satisfactory in a planting situation, with a view to large-scale planting.

Description

Assuming that the planting of the nine native fruit trees can be a quick solution to the attraction and preservation of wildlife, it would therefore provide sustainable riparian revegetation around the reservoir.

Data of mean values for the fruit trees morphological features are measured: Trees’ percentage of survivors (SUR); Average diameter at breast height (DBH); Average total height (HEI) and; Average number of leaves per branch (LEA). The soil chemical composition of the two sites ES-1 and ES-2 (in Portuguese) is available also.

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/h36pb9v55v.17 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:field:490108mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Operations Research']
concepts[field].anzsrc:group:4011mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Environmental Engineering']
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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