Designing conservation networks to ensure connectivity in a changing climate: application to Spanish forests
Data files
Sep 05, 2025 version files 281.82 MB
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00_Vegetation_tipes_RandomForest_Models.R
4 KB
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01_create_nodes.R
15.62 KB
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02_corridors_effective_distance.R
2.89 KB
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03_corridors_delineation.R
4.87 KB
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04_patches_importance.R
3.38 KB
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05_links_importance.R
4.11 KB
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connectivity_current.zip
49.63 MB
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connectivity_IPSL_CM6A_LR_2070_SSP126.zip
50.09 MB
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connectivity_IPSL_CM6A_LR_2070_SSP585.zip
44.84 MB
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connectivity_MRI_ESM2_0_2070_SSP126.zip
51.06 MB
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connectivity_MRI_ESM2_0_2070_SSP585.zip
50.50 MB
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overall_connectivity.tif
21.53 MB
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README.md
6.22 KB
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veg_types_current.tif
2.92 MB
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veg_types_IPSL_CM6A_LR_2070_SSP126.tif
2.80 MB
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veg_types_IPSL_CM6A_LR_2070_SSP585.tif
2.81 MB
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veg_types_MRI_ESM2_0_2070_SSP126.tif
2.81 MB
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veg_types_MRI_ESM2_0_2070_SSP585.tif
2.78 MB
Abstract
Aim: Assess the potential effects of climate change on different forest habitats, and outline a climate-wise conservation network to sustain forest connectivity under current and future climates.
Location: Mainland Spain.
Time period: Current and future (2071-2100).
Major taxa studied: Forest species associated with different vegetation types and dispersal abilities.
Methods: We fitted a Random Forest model to predict the distribution of six vegetation types under current and four future climate scenarios. We then assessed forest availability and connectivity for each climate scenario and vegetation type. To define the conservation network we identified the key habitat patches and corridors for dynamic connectivity using multi-temporal habitat availability indices. Finally, we analyzed how much of this conservation network is expected to change due to climate shifts and how this aligns with existing protected areas.
Results: Forests across all vegetation types exhibited substantial northward, eastward, and upward shifts. Forests adapted to cold or wet conditions (e.g., deciduous, mountain conifers, and high-mountain vegetation) declined in area and connectivity. Warm- and dry-adapted forests (e.g., sclerophyllous, subsclerophyllous, and hyperxerophilous vegetation) increased their ranges and connectivity. The increase in subsclerophyllous area tripled in connectivity gain, whereas other vegetation increased area and connectivity at similar rates (differences below 15%). 53% of the proposed conservation network shifted vegetation types. Current protected areas covered 45% of the conservation patches across Spain but less than 7% within the deciduous vegetation type.
Main conclusions: Projected shifts highlight the need for dynamic connectivity analyses to guide effective conservation under changing climates. Forest types exhibited distinct trends, underscoring the need for tailored strategies for each type. The proposed conservation network provides guidance for a proactive enhancement of forest species resilience, and serve as reference for other countries with similar conservation targets, such as the international EU Restoration Law and Biodiversity Strategy.
Dataset DOI: 10.5061/dryad.8gtht770m
Description of the data and file structure
This dataset consists of thematic maps designed to guide the prioritization of target locations for conservation and restoration management in peninsular Spain and the R scripts to obtain them.
The maps are provided under current (1990-2010) and 4 future (2071-2100) climate scenarios and include:
1. Distribution of main vegetation types: distribution of (1) high-mountain vegetation. (2) deciduous, (3) sclerophyllous, (4) hiperxerophilous, (5)subsclerophyllous, and (6)mountain conifers
2. Connectivity map: normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km). Additionally, an overall conservation network averaging the importance across dispersal distances and current and future connectivity scenarios.
CRS: WGS84 / UTM Zone 30N (EPSG:32630)
Files and variables
File: connectivity_current.zip
Description: Normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km) under current (1990-2010) climate conditions.
File: connectivity_IPSL_CM6A_LR_2070_SSP126.zip
Description: Normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km) under future (2070-2100) optimistic A (IPSL_CM6A_LR_2070_SSP126) climate conditions
File: connectivity_MRI_ESM2_0_2070_SSP126.zip
Description: Normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km) under future (2070-2100) optimistic B (MRI_ESM2_0_2070_SSP126) climate conditions
File: connectivity_IPSL_CM6A_LR_2070_SSP585.zip
Description: Normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km) under future (2070-2100) pessimistic A (IPSL_CM6A_LR_2070_SSP585) climate conditions
File: connectivity_MRI_ESM2_0_2070_SSP585.zip
Description: Normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km) under future (2070-2100) pessimistic B (MRI_ESM2_0_2070_SSP585) climate conditions
File: overall_connectivity.tif
Description: Averaged normalized importance of forests and corridors as connectivity providers for forest species with varying median dispersal capacities (1, 3, 5, 10, and 30 km) under current (1990-2010) climate and future (2070-2100) conditions.
File: veg_types_current.tif
Description: Distribution of main vegetation types: distribution of (1) high-mountain vegetation. (2) deciduous, (3) sclerophyllous, (4) hiperxerophilous, (5)subsclerophyllous, and (6)mountain conifers under current (1990-2010) climate conditions.
File: veg_types_IPSL_CM6A_LR_2070_SSP126.tif
Description: Distribution of main vegetation types: distribution of (1) high-mountain vegetation. (2) deciduous, (3) sclerophyllous, (4) hiperxerophilous, (5)subsclerophyllous, and (6)mountain conifers under future (2070-2100) optimistic A (IPSL_CM6A_LR_2070_SSP126) climate conditions.
File: veg_types_MRI_ESM2_0_2070_SSP126.tif
Description: Distribution of main vegetation types: distribution of (1) high-mountain vegetation. (2) deciduous, (3) sclerophyllous, (4) hiperxerophilous, (5)subsclerophyllous, and (6)mountain conifers under future (2070-2100) optimistic B (MRI_ESM2_0_2070_SSP126) climate conditions.
File: veg_types_IPSL_CM6A_LR_2070_SSP585.tif
Description: Distribution of main vegetation types: distribution of (1) high-mountain vegetation. (2) deciduous, (3) sclerophyllous, (4) hiperxerophilous, (5)subsclerophyllous, and (6)mountain conifers under future (2070-2100) pessimistic A (IPSL_CM6A_LR_2070_SSP585) climate conditions.
File: veg_types_MRI_ESM2_0_2070_SSP585.tif
Description: Distribution of main vegetation types: distribution of (1) high-mountain vegetation. (2) deciduous, (3) sclerophyllous, (4) hiperxerophilous, (5)subsclerophyllous, and (6)mountain conifers under future (2070-2100) pessimistic B (MRI_ESM2_0_2070_SSP585) climate conditions.
Scripts
File: 00_Vegetation_tipes_RandomForest_Models.R
Description: R script to model the distribution of the different vegetation types.
File: 01_create_nodes.R
Description: R script to delimitate habitat patches
File: 02_corridors_effective_distance.R
Description: R script to calculate effective distance of corridors.
File: 03_corridors_delineation.R
Description: R script to delineate corridors
File: 04_patches_importance.R
Description: R script to prioritize habitat patches
File: 05_links_importance.R
Description: R script to prioritize corridors
Code/software
Scripts are available in files 00_Vegetation_tipes_RandomForest_Models.R, 01_create_nodes.R, 02_corridors_effective_distance.R, 03_corridors_delineation.R, 04_patches_importance.R, 05_links_importance.R
R versions 4.3.2
Packages:
Makurhini
gdistance
randomForest
terra
raster
sf
parallel
future
furrr
Sharing/Access information
Links to other publicly accessible locations of the data:
Data was derived from the following sources:
