Dataset from 55 experts engaged in nature conservation in Mozambique
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/19401 |
Resumo: | Data Article |
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Dataset from 55 experts engaged in nature conservation in Mozambiqueconservation expertsdeveloping countriesperceived viewsNiassa National ReserveData ArticleThe data of this article is related to the original article entitled “An expert-based approach to assess the potential for local people engagement in nature conservation: The case study of the Niassa National Reserve in Mozambique” [1], published in Journal for Nature Conservation. The dataset is from an online and selfadministrated survey with 55 experts aware of conservation policies and incentives under implementation in the Niassa National Reserve (NNR), the largest protected area in the country and thirdlargest in Africa. The survey included four sections of both compulsory and non-compulsory questions, mostly in closedended Likert-scale. In the first section, experts were asked about the main practices that threaten biodiversity conservation in the NNR, the actors who are directly and indirectly responsible for each practice, and the reasons for local people's involvement with those practices. The second section was about the effectiveness and limitations of the current compensation measures to engage local residents with conservation-friendly practices. In the third section, respondents were asked to select new measures to enhance the current conservation status and engage local people more effectively in conservation. The last section was about the socio-economic profile of respondents. The survey was conducted from June to September 2017. The paper includes the survey itself, raw data in an Excel spreadsheet, descriptive analysis, crosstabulation and Post Hoc cellwise tests (goodness of fit). Data are provided for public use and can serve as a benchmark for collaboration in order to conduct more comprehensive research, comparative analysis as well as panel data can be derived. This data can also have applications in other fields such as mathematics, statistics, and computationElsevierRepositório da Universidade de LisboaMbanze, Aires AfonsoRibeiro, Natasha SofiaSilva, Carina VieiraSantos, José Lima2020-01-23T11:28:53Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/19401engData in brief 28 (2020) 105080https://doi.org/10.1016/j.jnc.2019.125759info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:48:53Zoai:www.repository.utl.pt:10400.5/19401Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:04:17.965140Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Dataset from 55 experts engaged in nature conservation in Mozambique |
title |
Dataset from 55 experts engaged in nature conservation in Mozambique |
spellingShingle |
Dataset from 55 experts engaged in nature conservation in Mozambique Mbanze, Aires Afonso conservation experts developing countries perceived views Niassa National Reserve |
title_short |
Dataset from 55 experts engaged in nature conservation in Mozambique |
title_full |
Dataset from 55 experts engaged in nature conservation in Mozambique |
title_fullStr |
Dataset from 55 experts engaged in nature conservation in Mozambique |
title_full_unstemmed |
Dataset from 55 experts engaged in nature conservation in Mozambique |
title_sort |
Dataset from 55 experts engaged in nature conservation in Mozambique |
author |
Mbanze, Aires Afonso |
author_facet |
Mbanze, Aires Afonso Ribeiro, Natasha Sofia Silva, Carina Vieira Santos, José Lima |
author_role |
author |
author2 |
Ribeiro, Natasha Sofia Silva, Carina Vieira Santos, José Lima |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Mbanze, Aires Afonso Ribeiro, Natasha Sofia Silva, Carina Vieira Santos, José Lima |
dc.subject.por.fl_str_mv |
conservation experts developing countries perceived views Niassa National Reserve |
topic |
conservation experts developing countries perceived views Niassa National Reserve |
description |
Data Article |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-23T11:28:53Z 2020 2020-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/19401 |
url |
http://hdl.handle.net/10400.5/19401 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Data in brief 28 (2020) 105080 https://doi.org/10.1016/j.jnc.2019.125759 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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