Please use this identifier to cite or link to this item:
Original TitleCoding, Coding Set, and Policy Overview: Policy Document Analysis Data for the PhD Thesis "More than trees"
Kinds of DataStatistical Evaluations / Tables
Context Materials / Supporting information
Resource TypeDataset
CreatorIsaac, Roman  0000-0002-0007-7433 (Social-ecological Systems Institute (SESI), Leuphana Universität Lüneburg  02w2y2t16)
Hofmann, Johanna  0000-0002-5222-0414
Däfler, Lene Salia
Martín-López, Berta  0000-0003-2622-0135 (Social-ecological Systems Institute (SESI), Leuphana Universität Lüneburg  02w2y2t16)
Description of the DatasetThe 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.
MethodsContent coding
Analysis of text documents
KeywordsDokumentenanalyse; Steuerungsprozesse; Richtlinie; Ökosystem; Dienstleistung; Natürlicher Einfluss; Wald; Koproduktion; Document Analysis; Governance; Policy; Ecosystem; Service Provision; Nature's Contribution; Forest; Co-production
Thematic ClassificationMensch-Natur-Beziehung
GeolocationCountry: Germany; Germany
Region/Location: Biosphärenreservat Schwäbische Alb, Baden-Württemberg; Biosphärenreservat Schorfheide-Chorin, Brandenburg; Nationalpark Hainich, Thüringen; Eichsfeld, Thüringen
Publication Year2024
Published byMedien- und Informationszentrum, Leuphana Universität Lüneburg
Superordinate Data Collection Data PhD Isaac
Related Resources Relations of the dataset
Files in This Item:
File Description SizeFormat 

MD5: 36dc3a4b106dd3f13da9c3efc072b6bd

96.46 kB

Microsoft Excel XML

Items in PubData are protected by copyright, with all rights reserved, unless otherwise indicated.

Citation formats
Access statistics

Page view(s): 10

Download(s): 1