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Table 3 Coding tool for the systematic map

From: Environmental impacts of farm land abandonment in high altitude/mountain regions: a systematic map of the evidence

Coding variables Details/examples
Author  
Full reference  
Publication type e.g. book chapter, journal paper, conference paper, thesis, organisation report
Holding institution Organisation/body holding access to article
Article access issues i.e. open access, subscription only
Study year Time period of experimentation/observation
Study length Time over which study undertaken
Study timescale Period between intervention and study
Study description Brief description of study
Intervention description Full description of intervention and final state
Intervention time period Years intervention in place
Comparator description Full description of comparator
Comparator appropriateness Brief description of how well matched the comparator is to the intervention population
Comparator type i.e. spatial, temporal, both
Replication Unit of replication (e.g. patch, farm, landscape)
Spatial scale i.e. landscape scale, single farm, multiple farm, whole farm, within field
Sources of potential bias Brief description of potential sources of bias in study results
Methodological detail Level of methodological detail; low (very little detail, significant information missing), medium (some detail missing but generally sufficient), high (very high level of detail, no obvious information lacking)
Study country/ies  
Study region  
Mountain descriptor Quoted description of mountain type, e.g. alpine
Altitude  
Farming system e.g. organic farming, conventional farming, integrated farming, intensive grassland, extensive grassland, tillage, ploughing, non inversion tillage, minimal tillage
Broad outcome group i.e. soil, water, natural hazard, ecosystem functioning
Outcome focus e.g. water chemistry, butterfly
Measured outcome e.g. total suspended solids, Simpson’s diversity index
Experimental design i.e. observation, experimentation
Additional details i.e. multiple outcomes studied, multiple articles of one study, multiple experiments in one article