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Dataset from 55 experts engaged in nature conservation in Mozambique.
Data Brief 2020; 28:105080DB

Abstract

The 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 self-administrated 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 third-largest in Africa. The survey included four sections of both compulsory and non-compulsory questions, mostly in closed-ended 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 computation.

Authors+Show Affiliations

Faculty of Agrarian Sciences, Universidade Lúrio, Department of Environment and Nature Conservation, Niassa Province, Campus Universitários de Unango, Sanga District, Mozambique. Nova School of Business and Economics, Universidade Nova de Lisboa, Campus de Carcavelos, Rua da Holanda, P.O. Box., 2775-405, Lisbon, Portugal. Centre for Forest Studies (CEF), Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Tapada da Ajuda, P.O. Box, 1349-017, Lisbon, Portugal.Eduardo Mondlane University, Faculty of Agronomy and Forest Engineering, Av. J. Nyerere 3453/Campus Universitário Principal, Maputo, Mozambique.Nova School of Business and Economics, Universidade Nova de Lisboa, Campus de Carcavelos, Rua da Holanda, P.O. Box., 2775-405, Lisbon, Portugal. MARE - Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Av. Nossa Sra do Cabo 939, 2750-374, Cascais, Portugal.Centre for Forest Studies (CEF), Instituto Superior de Agronomia (ISA), Universidade de Lisboa, Tapada da Ajuda, P.O. Box, 1349-017, Lisbon, Portugal.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31970273

Citation

Mbanze, Aires Afonso, et al. "Dataset From 55 Experts Engaged in Nature Conservation in Mozambique." Data in Brief, vol. 28, 2020, p. 105080.
Mbanze AA, Ribeiro NS, da Silva CV, et al. Dataset from 55 experts engaged in nature conservation in Mozambique. Data Brief. 2020;28:105080.
Mbanze, A. A., Ribeiro, N. S., da Silva, C. V., & Santos, J. L. (2020). Dataset from 55 experts engaged in nature conservation in Mozambique. Data in Brief, 28, p. 105080. doi:10.1016/j.dib.2019.105080.
Mbanze AA, et al. Dataset From 55 Experts Engaged in Nature Conservation in Mozambique. Data Brief. 2020;28:105080. PubMed PMID: 31970273.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Dataset from 55 experts engaged in nature conservation in Mozambique. AU - Mbanze,Aires Afonso, AU - Ribeiro,Natasha Sofia, AU - da Silva,Carina Vieira, AU - Santos,José Lima, Y1 - 2020/01/03/ PY - 2019/11/27/received PY - 2019/12/04/revised PY - 2019/12/23/accepted PY - 2020/1/24/entrez PY - 2020/1/24/pubmed PY - 2020/1/24/medline KW - Conservation experts KW - Developing countries KW - Perceived views and Niassa National Reserve SP - 105080 EP - 105080 JF - Data in brief JO - Data Brief VL - 28 N2 - The 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 self-administrated 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 third-largest in Africa. The survey included four sections of both compulsory and non-compulsory questions, mostly in closed-ended 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 computation. SN - 2352-3409 UR - https://www.unboundmedicine.com/medline/citation/31970273/Dataset_from_55_experts_engaged_in_nature_conservation_in_Mozambique L2 - https://linkinghub.elsevier.com/retrieve/pii/S2352-3409(19)31436-2 DB - PRIME DP - Unbound Medicine ER -