PAUWES Data Portal
Farmers' Perceptions & Adaptation to Climate Change Part VI: Identifying cotton-based crop rotation systems via field data and satellite imagery; Dassari, Benin, 2013-2015
This dataset is the sixth of a series of datasets addressing farmers' adaptation to climate change in West-Africa, specifically in Dassari, Benin.
This data was obtained by interviews with smallholder farmers from various communities in the Dassari basin. It provides information on the household level on farming history, fertilizer use, crop rotation practices and the farmers' motivation behind changing their practice.
Soil sample data provides information on N,P,K, C content with the intention of evaluating residual effect of fertilizer in soil.
Data includes questionaire and results, and soil sample data all corresponding to multi-year study of fields.
The coordinates of the soil sample plots can be obtained upon request to the author due to data privacy protection demands.
Simple
- Date (Publication)
- 2016-01-01T00:00:00
- Presentation form
- Digital table
- Purpose
- The survey was conducted in the context of the WASCAL working package 3.3 Farmers' Perceptions & Adaptation Strategies and 2.1 Land use cover and land use change.
- Status
- On going
https://www.zef.de
- Maintenance and update frequency
- As needed
- GEMET - Concepts, version 2.4
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- agriculture
- crop rotation
- cotton
- food production (agriculture)
- man-made climate change
- soil
- Theme
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- farmers
- adaptation
- fertilizer
- Region
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- Africa
- Benin
- Western Africa
- Place
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- Dassari
- Sudanian Savanna
- Access constraints
- Intellectual property rights
- Use constraints
- License
- Other constraints
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Not yet available. Publication in progress. In urgent cases contact the distributor to get access to the data.
As long as not publicly available the following use restrictions must be considered:
- The Data must not be redistributed to unauthorized persons as defined by the distributor;
- The data can be copied and prcessed to create derivations by the authorized persons;
- If publication results from using the data, the user agrees to acknowledge the author and/or give credit to the author, or, as scientifically appropriate, provide co-authorship to the author based on any direct contribution s/he may make to the research;
- If a publication is made based on the data, a copy of the manuscript or abstract shall be sent in any case to the author not less than forty-five (45) days prior to the date of the publication.
- Only anonymized data is accessible. In case access to the non anonymized data is required, please ask the distributor.
Citation:
Ziemacki, J. (2016): Farmers' Perceptions & Adaptation to Climate Change Part IX:
Identifying cotton-based crop rotation systems via field data and satellite imagery; Dassari, Benin, 2013-2015
https://wascal-dataportal.org/geonetwork/?uuid=20c38bb4-d7cf-488a-ad0a-bfc72f15edc6
- Metadata language
- English
- Topic category
-
- Farming
))
- Begin date
- 2013-01-01
- End date
- 2015-12-31
- Supplemental Information
- Plots chosen based on cropping history derived from satellite imagery which indicated fertilizing history and fields were chosen based on fertilizing history.
- Distribution format
-
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Comma Separated Values (csv)
(
nn
)
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PDF
(
nn
)
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MS Excel
(
2013
)
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Comma Separated Values (csv)
(
nn
)
Distributor
- Planned available datetime
- 2019-01-01T00:00:00
- Protocol
- WWW:LINK-1.0-http--link
- OnLine resource
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Lab_Results.zip
(
WWW:DOWNLOAD-1.0-http--download
)
Lab results
- OnLine resource
-
Questionnaire.zip
(
WWW:DOWNLOAD-1.0-http--download
)
Questionnaire (anonymized)
- Hierarchy level
- Dataset
- Statement
-
Questionnaire data was collected by a semi-structured field questionnaire in Dassari in January-February 2016.
Data analysis conducted with STATA and R.
Soil samples analyzed in INRES Lab at University of Bonn.
- File identifier
- 20c38bb4-d7cf-488a-ad0a-bfc72f15edc6 XML
- Metadata language
- English
- Character set
- UTF8
- Date stamp
- 2018-04-19T11:07:33
- Metadata standard name
- ISO 19115:2003/19139
- Metadata standard version
- 1.0
Overviews
Spatial extent
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