Data from: Land sparing outperforms land sharing across an elevational gradient in tropical cattle-farming landscapes
Data files
May 12, 2026 version files 480.92 MB
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01_Elevation_sharing-sparing.R
69.28 KB
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Files_to_run_script.zip
480.84 MB
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README.md
1.87 KB
Abstract
Farming is a major driver of biodiversity loss globally, particularly in the tropics, where regions of exceptional biodiversity coincide with intense pressure from forest conversion. Minimising biodiversity loss in these landscapes is critical. Land-sharing and land-sparing strategies offer contrasting approaches to managing this challenge. Land sharing integrates wildlife-friendly practices within farmland, while land sparing concentrates production to free up land for natural habitat conservation. Previous studies suggest that land sparing often delivers greater conservation benefits, especially in tropical cattle-farming systems. However, it remains unclear whether these outcomes hold across steep elevational gradients, such as those found in the tropical Andes. We address this question by evaluating bird communities along an elevational gradient (900–3400 m) in the eastern cordillera of Colombia, a biodiversity hotspot with many endemic and range-restricted species. Using extensive field data and scenario-based simulations, we compared the effects of land-sharing and land-sparing strategies on multiple dimensions of biodiversity (species richness, phylogenetic and functional diversity). this dataset includes occupancy probabilities to estimate avian communites along an elevational gradient, computations of changes in 12 biodiversity metrics from forest to pasture, simulated scenarios of land sharing and land sparing and comparison of metrics between the two management strategies. We found that species richness and Faith’s phylogenetic diversity were consistently higher under land sparing across all elevations. Sparing strategies also retained greater evolutionary uniqueness. In contrast, functional diversity metrics changed little across scenarios, suggesting strong functional redundancy in these communities.
Dataset DOI: 10.5061/dryad.fttdz095g
Description of the data and file structure
Dataset contains a dataset of estimated occupancy probabilites for bird species in forest and wildlife-frienly pastures across an elevational gradients. this is used to obtain avian communities (presence/absence) using Bernoulli trials. communities are used to estimate species richness, phylogenetic and functional diversity metrics. Additionally a simulation approach is used to obtain communities under land-sharing and land-sparing management scenarios and compute diversity metrics.
Files and variables
File: Files_to_run_script.zip
Description: Zip file including necessary files to run script
Cordillera_dataset.rds: occupancy probability for bird along elevation and habitats
Cordillera_func_space.rds: curated functional space dimensions for species list
cordillera_phylo.tre: curated phylogenetic trees for species list
ED_values.rds: evolutionary distinctiveness of species estimated from 10000 trees using the fair proportions method
species_names_matching.rds: lookup table to match species names under different taxonomic treatments.
Code/software
File: 01_Elevation_sharing-sparing.R
Description: R software script to perform all analysis. Includes estimating avian communities across elevation. and for land-sharing and land-sparing management. Computation of species richness, phylogenetic diversity metrics (7 metrics) and functional diversity metrics (5 metrics). And code to replicate figures and comparisons.
Access information
Other publicly accessible locations of the data:
- https://github.com/gapz01/PhD_year_4 (script only)
