Evidence map›Paper›PMID 37794973›Full record

ArticleFrontiers in nutrition2023

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

Ratna Chrismiari Purwestri, Miroslava Hochmalová, Miroslav Hájek, Petra Palátová, Vilém Jarský, Diana Carolina Huertas-Bernal, Mayang Christy Perdana, Sandra Paola García-Jácome, Betha Lusiana, Marcel Riedl

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 2 countries.

Ratna Chrismiari PurwestriFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Miroslava HochmalováFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Miroslav HájekFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Petra PalátováFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Vilém JarskýFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Diana Carolina Huertas-BernalFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Mayang Christy PerdanaFaculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Sandra Paola García-JácomeFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Betha LusianaCIFOR-ICRAF, Bogor, West Java, Indonesia.
Marcel RiedlFaculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czechia.
Czech University of Life Sciences Prague · CZCenter for International Forestry Research · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

income-generatingnon-wood forest productpolicypreferencerecreation

Identifiers

PMID37794973
PMCPMC10545864
OpenAlexW4386849625

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.