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From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic

With the alarming increase in dying trees and massive logging in the Czech forests due to bark beetle infestation, the collection of non-wood forest products, a beneficial recreational activity in the Czech Republic, is now being promoted as an alternative to wood provisioning services. This paper a...

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Autores principales: Purwestri, Ratna Chrismiari, Hochmalová, Miroslava, Hájek, Miroslav, Palátová, Petra, Jarský, Vilém, Huertas-Bernal, Diana Carolina, Perdana, Mayang Christy, García-Jácome, Sandra Paola, Lusiana, Betha, Riedl, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545864/
https://www.ncbi.nlm.nih.gov/pubmed/37794973
http://dx.doi.org/10.3389/fnut.2023.1193203
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author Purwestri, Ratna Chrismiari
Hochmalová, Miroslava
Hájek, Miroslav
Palátová, Petra
Jarský, Vilém
Huertas-Bernal, Diana Carolina
Perdana, Mayang Christy
García-Jácome, Sandra Paola
Lusiana, Betha
Riedl, Marcel
author_facet Purwestri, Ratna Chrismiari
Hochmalová, Miroslava
Hájek, Miroslav
Palátová, Petra
Jarský, Vilém
Huertas-Bernal, Diana Carolina
Perdana, Mayang Christy
García-Jácome, Sandra Paola
Lusiana, Betha
Riedl, Marcel
author_sort Purwestri, Ratna Chrismiari
collection PubMed
description With the alarming increase in dying trees and massive logging in the Czech forests due to bark beetle infestation, the collection of non-wood forest products, a beneficial recreational activity in the Czech Republic, is now being promoted as an alternative to wood provisioning services. This paper aims to present findings on the non-wood forest product preferences in the country as part of a baseline assessment for promoting the usage. This study relied on the 2019 national survey data of public preferences in collecting forest berries, mushrooms, honey, and medicinal herbs. K-means cluster analysis was employed to classify the respondents. A binary logistic regression with a conditional forward approach was employed to identify the potential predictors of the high preference for each non-wood forest product. Data from 1,050 online respondents were included, and two groups of respondents were clustered based on their preferences for the entire non-wood forest, i.e., higher and lower utilization. The regression analysis revealed that frequent forest visitors were the primary predictor of high utilization of all non-wood forest products (between 1.437 to 4.579 odd ratios), in addition to age, gender, and location of the forest property. By clustering the respondents based on the high and low preferences in utilizing non-wood forest products, the promotion of this service, from recreational to potential livelihood activities and economic benefits, can be better targeted, e.g., target customer, infrastructure development in the location with high preferences, scenarios based on the type of owners (municipal or private forest owners), which in accordance to the national forest policy and laws, and, at the same time, maintain the ecological stability.
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spelling pubmed-105458642023-10-04 From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic Purwestri, Ratna Chrismiari Hochmalová, Miroslava Hájek, Miroslav Palátová, Petra Jarský, Vilém Huertas-Bernal, Diana Carolina Perdana, Mayang Christy García-Jácome, Sandra Paola Lusiana, Betha Riedl, Marcel Front Nutr Nutrition With the alarming increase in dying trees and massive logging in the Czech forests due to bark beetle infestation, the collection of non-wood forest products, a beneficial recreational activity in the Czech Republic, is now being promoted as an alternative to wood provisioning services. This paper aims to present findings on the non-wood forest product preferences in the country as part of a baseline assessment for promoting the usage. This study relied on the 2019 national survey data of public preferences in collecting forest berries, mushrooms, honey, and medicinal herbs. K-means cluster analysis was employed to classify the respondents. A binary logistic regression with a conditional forward approach was employed to identify the potential predictors of the high preference for each non-wood forest product. Data from 1,050 online respondents were included, and two groups of respondents were clustered based on their preferences for the entire non-wood forest, i.e., higher and lower utilization. The regression analysis revealed that frequent forest visitors were the primary predictor of high utilization of all non-wood forest products (between 1.437 to 4.579 odd ratios), in addition to age, gender, and location of the forest property. By clustering the respondents based on the high and low preferences in utilizing non-wood forest products, the promotion of this service, from recreational to potential livelihood activities and economic benefits, can be better targeted, e.g., target customer, infrastructure development in the location with high preferences, scenarios based on the type of owners (municipal or private forest owners), which in accordance to the national forest policy and laws, and, at the same time, maintain the ecological stability. Frontiers Media S.A. 2023-09-18 /pmc/articles/PMC10545864/ /pubmed/37794973 http://dx.doi.org/10.3389/fnut.2023.1193203 Text en Copyright © 2023 Purwestri, Hochmalová, Hájek, Palátová, Jarský, Huertas-Bernal, Perdana, García-Jácome, Lusiana and Riedl. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Nutrition
Purwestri, Ratna Chrismiari
Hochmalová, Miroslava
Hájek, Miroslav
Palátová, Petra
Jarský, Vilém
Huertas-Bernal, Diana Carolina
Perdana, Mayang Christy
García-Jácome, Sandra Paola
Lusiana, Betha
Riedl, Marcel
From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic
title From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic
title_full From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic
title_fullStr From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic
title_full_unstemmed From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic
title_short From recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the Czech Republic
title_sort from recreational to income-generating opportunities: assessment of public preferences for non-wood forest products in the czech republic
topic Nutrition
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10545864/
https://www.ncbi.nlm.nih.gov/pubmed/37794973
http://dx.doi.org/10.3389/fnut.2023.1193203
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