The comparative performance of land sharing, land sparing type interventions on place-based human well-being

This dataset describes the five most important constituents of human wellbeing listed by 270 head households – HH in the Brazilian Amazon. Households predominantly work in agriculture and are located across contrasting interventions, including sectoral (i.e., Protected Area – 70 HH, Soy conventional...

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Autores principales: Carmenta, Rachel, Steward, Angela, Albuquerque, Adrielly, Carneiro, Renan, Vira, Bhaskar, Estrada-Carmona, Natalia
Formato: Conjunto de datos
Publicado: 2022
Acceso en línea:https://hdl.handle.net/10568/128404
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author Carmenta, Rachel
Steward, Angela
Albuquerque, Adrielly
Carneiro, Renan
Vira, Bhaskar
Estrada-Carmona, Natalia
author_browse Albuquerque, Adrielly
Carmenta, Rachel
Carneiro, Renan
Estrada-Carmona, Natalia
Steward, Angela
Vira, Bhaskar
author_facet Carmenta, Rachel
Steward, Angela
Albuquerque, Adrielly
Carneiro, Renan
Vira, Bhaskar
Estrada-Carmona, Natalia
author_sort Carmenta, Rachel
collection Repository of Agricultural Research Outputs (CGSpace)
description This dataset describes the five most important constituents of human wellbeing listed by 270 head households – HH in the Brazilian Amazon. Households predominantly work in agriculture and are located across contrasting interventions, including sectoral (i.e., Protected Area – 70 HH, Soy conventional production – 60 HH) and integrated (i.e., Extractive reserve – 70 HH and National Forest – 70HH) efforts. Each of the most important constituents of human wellbeing was reclassified into the three universal dimensions - material, quality of life, and relational - and sub-domains. Responses were collected in Pará in 2019. (2022-06-22)
format Conjunto de datos
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publishDate 2022
publishDateRange 2022
publishDateSort 2022
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spelling CGSpace1284042024-04-25T06:01:46Z The comparative performance of land sharing, land sparing type interventions on place-based human well-being Carmenta, Rachel Steward, Angela Albuquerque, Adrielly Carneiro, Renan Vira, Bhaskar Estrada-Carmona, Natalia This dataset describes the five most important constituents of human wellbeing listed by 270 head households – HH in the Brazilian Amazon. Households predominantly work in agriculture and are located across contrasting interventions, including sectoral (i.e., Protected Area – 70 HH, Soy conventional production – 60 HH) and integrated (i.e., Extractive reserve – 70 HH and National Forest – 70HH) efforts. Each of the most important constituents of human wellbeing was reclassified into the three universal dimensions - material, quality of life, and relational - and sub-domains. Responses were collected in Pará in 2019. (2022-06-22) 2022-06 2023-02-02T14:22:19Z 2023-02-02T14:22:19Z Dataset https://hdl.handle.net/10568/128404 Open Access Carmenta, R,; Steward, A,; Albuquerque, A,; Carneiro, R.; Vira, B.; Estrada Carmona, N.; (2022) The comparative performance of land sharing, land sparing type interventions on place-based human well-being. https://doi.org/10.7910/DVN/YAKQ98, Harvard Dataverse, V1
spellingShingle Carmenta, Rachel
Steward, Angela
Albuquerque, Adrielly
Carneiro, Renan
Vira, Bhaskar
Estrada-Carmona, Natalia
The comparative performance of land sharing, land sparing type interventions on place-based human well-being
title The comparative performance of land sharing, land sparing type interventions on place-based human well-being
title_full The comparative performance of land sharing, land sparing type interventions on place-based human well-being
title_fullStr The comparative performance of land sharing, land sparing type interventions on place-based human well-being
title_full_unstemmed The comparative performance of land sharing, land sparing type interventions on place-based human well-being
title_short The comparative performance of land sharing, land sparing type interventions on place-based human well-being
title_sort comparative performance of land sharing land sparing type interventions on place based human well being
url https://hdl.handle.net/10568/128404
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