Data from: Which landscape size best predicts the influence of forest cover on restoration success? – A global meta-analysis on the scale of effect

Crouzeilles R, Curran M

Date Published: December 14, 2015

DOI: http://dx.doi.org/10.5061/dryad.v1r34

 

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Title Biomass_Contiguous_forest_areas
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Title Biomass_Forest_areas
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Title Bird_Contiguous_forest_area
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Title Birds_Forest_areas
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Title Cover_Contiguous_forest_areas
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Title Cover_Forest_areas
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Title Density_Contiguous_forest_areas
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Title Density_Forest_areas
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Title Height_Contiguous_forest_areas
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Title Height_Forest_areas
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Title Herpeto_Contiguous_forest_areas
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Title Herpeto_Forest_areas
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Title Invertebrates_Contiguous_forest_areas
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Title Invertebrates_Forest_areas
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Title Litter_Contiguous_forest_areas
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Title Litter_Forest_areas
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Title Mammals_Contiguous_forest_areas
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Title Mammals_Forest_areas
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Title Plants_Contiguous_forest_areas
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Title Plants_Forest_areas
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Title Script_Contiguous forest areas
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Title Script_Forest areas
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When using this data, please cite the original publication:

Crouzeilles R, Curran M (2016) Which landscape size best predicts the influence of forest cover on restoration success? – A global meta-analysis on the scale of effect. Journal of Applied Ecology 53(2): 440-448. http://dx.doi.org/10.1111/1365-2664.12590

Additionally, please cite the Dryad data package:

Crouzeilles R, Curran M (2016) Data from: Which landscape size best predicts the influence of forest cover on restoration success? – A global meta-analysis on the scale of effect. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.v1r34
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