Dataset DOI: 10.48548/pubdata-216
Coding, Coding Set, and Policy Overview: Policy Document Analysis Data for the PhD Thesis "More than trees"
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Chronological data
Year of publication2024
Date of availability in catalog2024-04-29
Available from / since 2024-04-29
Language of the resource
English
Related PubData resources
Abstract
The researchers conducted a policy document analysis (PDA) to identify how policy document intend to govern anthropogenic capitals in the co-production of nature's contributions to people (NCP). They used a four step approach to identify policies. First, they checked the scientific literature for references to relevant documents. Second, they conducted an online search in databases of relevant institutions. Third, they assessed which Natura 2000 sites were located in their case study sites and plots to find relevant Natura 2000 management plans. Fourth, they interviewed 37 forest managers and 13 conservationists and asked them about policy documents relevant for their work. In total the researchers identified 96 policy documents from different policy fields. Of these 76 met their selection criteria of referring to governance of anthropogenic capitals in nature's contributions to people co-production in forests. The research group coded these policy documents using a deductive coding scheme. The data set consists of the coding set, the coding and a full list of the 76 documents.
Resource type
Dataset
Kinds of Data
Statistical Evaluations / Tables
Context Materials / Supporting information
Bibliography
Context Materials / Supporting information
Bibliography
Methods
Content coding
Analysis of text documents
Analysis of text documents
Thematic classification
Mensch-Natur-Beziehung
Keywords
Dokumentenanalyse; Steuerungsprozesse; Richtlinie; Ökosystem; Dienstleistung; Naturleistungen für den Menschen (NCP); Wald; Koproduktion; Document Analysis; Governance; Policy; Ecosystem; Service Provision; Nature's Contributions to People (NCP); Forest; Co-production
Faculty / department
More information
Time Period of the Collection of the Data
2022-01 - 2022-05
Time Period of the Creation of the Dataset
2022 - 2023
Temporal Coverage of the Dataset
Geolocation (Country)
Germany
Germany
Germany
Geolocation (Region/Location)
Biosphärenreservat Schwäbische Alb, Baden-Württemberg
Biosphärenreservat Schorfheide-Chorin, Brandenburg
Nationalpark Hainich, Thüringen
Eichsfeld, Thüringen
Biosphärenreservat Schorfheide-Chorin, Brandenburg
Nationalpark Hainich, Thüringen
Eichsfeld, Thüringen