Perception of ecosystem services by family farmers in the municipality of Irituia/PA, Eastern Amazon: subsidies for forest restoration
DOI:
https://doi.org/10.5380/dma.v62i0.84539Keywords:
ecosystem services, agroforest systems, forest recovery, family farmers, AmazonAbstract
Due to the lack of studies about the sociocultural dimension of ecosystem services, we analyze in this work the perception of these benefits by family farmers who have agroforestry systems in the northeast of Pará, in the Amazon region. With this objective, we categorize forest restoration strategies based on primary data collection - interviews, semi structured questionnaire, illustrated questionnaire and Likert Scale. Through the relative perception based on the application of Likert scales, we observed that the farmers recognize the benefits provided by agroforest systems and natural landscapes, with high perception of ecosystem services in all the categories present in the Millennium ecosystem evaluation. Furthermore, the higher perceptions of ecosystem services are related to the group of farmers with a smaller area of forest reserve and bigger area of agroforest systems. The result suggests that loss of forest area, at the individual level, probably drives to a higher sense of the benefits of natural systems and thus, the increment in agroforestry systems constitutes an attempt to return to functions and benefits lost through environmental degradation over time. In general, support programs are necessary to strengthen the capacity of agroforestry systems to provide ecosystem services and increase biodiversity conservation.
Downloads
Published
How to Cite
Issue
Section
License
Copyright on works published in this journal rests with the author, with first publication rights for the journal. The content of published works is the sole responsibility of the authors. DMA is an open access journal and has adopted the Creative Commons Attribution 4.0 Not Adapted (CC-BY) license since January 2023. Therefore, when published by this journal, articles are free to share (copy and redistribute the material in any medium or format for any purpose, even commercial) and adapt (remix, transform, and create from the material for any purpose, even commercial). You must give appropriate credit, provide a link to the license and indicate if changes have been made.
The contents published by DMA from v. 53, 2020 to v. 60, 2022 are protected by the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license.
DMA has been an open access journal since its creation, however, from v.1 of 2000 to v. 52 of 2019, the journal did not adopt a Creative Commons license and therefore the type of license is not indicated on the first page of the articles.

