| id |
12200 |
| versionID |
1.1.2 |
| datasetid |
0 |
| version |
1.0.0 |
| title |
Surveys on ecosystem services and climate change |
| name1 |
Thomas_Koellner |
| projectName1 |
SubProject9 |
| institute1 |
University of Bayreuth |
| email1 |
thomas.koellner@uni-bayreuth.de |
| name2 |
Rebekka_Riebl |
| projectName2 |
SubProject9 |
| institute2 |
University of Bayreuth |
| email2 |
rebekka.riebl@uni-bayreuth.de |
| name3 |
Maria_Haensel |
| projectName3 |
SubProject9 |
| institute3 |
University of Bayreuth |
| email3 |
maria.haensel@uni-bayreuth.de |
| abstract |
Within the LandKlif project, a survey with the main user groups of Bavarian landscapes, namely farmers, forest owners, environmental managers and citizens was conducted. The main dataset file is "PES_survey_Landklif_2020.xlsx", the other files are safety copies in case of formatting discrepancies with certain software. For all >700 variables, see Uebersicht_Spaltenbezeichnungen_Gesamtdatensatz.xlsx column L; the tab "Aufbau_Spaltenname" gives an overview of the underlying syntax for the variable names. The shapefile shows the number of respondents per postal code area (column "bvr_rsp") based on the variable "X675_L3_residence_postalcode" and thus only shows the subsample of respondes with answers for this variable. For displaying other variables, associate the shapefile with the dataset "PES_survey_Landklif_2020_utf8.csv" to the geometries via "plz" and "X675_L3_residence_postalcode". In QGIS, this is done via the project properties > relations. The responses for each postal code area can then be displayed in QGIS via identify feature > Actions = view feature. This shows as many entries as specified in "bvr_respondents" in the shapefile. This relation is already established in the QGIS project "Responses_related_to_postalcodes.qgs". The study was carried out between January and July 2020 at agricultural offices as well as via online questionnaires, and comprised a total of 3281 participants (empty responses already deleted at this point), out of which 2320 respondents stated their residential postal code (sum of bvr_rsp in the shapefile). |
| keyword1 |
unstructured data |
| keyword2 |
survey |
| keyword3 |
sociocultural valuation |
| keyword4 |
agrienvironmental schemes (AES) |
| keyword5 |
ecosystem services |
| keyword6 |
climate change perception |
| timeFormat |
dd.MM.yyyy |
| startDate |
20.01.2020 |
| endDate |
10.07.2020 |
| publishingDate |
31.03.2025 |
| dateEntry |
2021-05-11 |
| dateLastModified |
2021-12-17 |
| fileName |
|
| datasetType |
unstructuredData |
| qualityLevel |
validated |
| fileFormat |
ASCII |
| delimiter |
comma |
| decimalCharacter |
. |
| headerRowNO |
1 |
| unitRowNO |
0 |
| dataRowNO |
2 |
| columnName |
|
| columnStartCell |
|
| rowName |
|
| rowStartCell |
|
| contentType |
|
| dataUnit |
|
| valueStartCell |
|
|
|
variableName |
typeOfVariable |
unit |
description |
| 1 |
column_names |
character |
none |
Uebersicht_Spaltenbezeichnungen_Gesamtdatensatz.xlsx column L |
|
| database |
PES-UBT internal database ID198 |
| paper1 |
paper1 |