Supporting reintroduction planning: A framework integrating habitat suitability, connectivity and individual-based modelling. A case study with the Eurasian lynx in the Apennines
Data files
May 06, 2025 version files 71.04 MB
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all_suitloc_patches_mod.cpg
5 B
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all_suitloc_patches_mod.dbf
8.70 KB
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all_suitloc_patches_mod.prj
380 B
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all_suitloc_patches_mod.sbn
1.15 KB
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all_suitloc_patches_mod.sbx
172 B
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all_suitloc_patches_mod.shp
217.32 KB
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all_suitloc_patches_mod.shx
972 B
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coltime_suitloc_C_RN_IndLF.tif
6.21 MB
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coltime_suitloc_N_RN_IndLF.tif
6.09 MB
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coltime_suitloc_NC_RN_IndLF.tif
6.30 MB
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heatmapsNC.tif
11.19 MB
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lynx_connectivity_apennines.tif
7.25 MB
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lynx_habitatfunctionality_apennines.tif
7.62 MB
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lynx_suitability_apennines.tif
7.77 MB
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occprob_suitloc_C_RN_IndLF.tif
6.19 MB
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occprob_suitloc_N_RN_IndLF.tif
5.88 MB
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occprob_suitloc_NC_RN_IndLF.tif
6.31 MB
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README.md
6.08 KB
May 06, 2025 version files 71.04 MB
-
all_suitloc_patches_mod.cpg
5 B
-
all_suitloc_patches_mod.dbf
8.70 KB
-
all_suitloc_patches_mod.prj
380 B
-
all_suitloc_patches_mod.sbn
1.15 KB
-
all_suitloc_patches_mod.sbx
172 B
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all_suitloc_patches_mod.shp
217.32 KB
-
all_suitloc_patches_mod.shx
972 B
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coltime_suitloc_C_RN_IndLF.tif
6.21 MB
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coltime_suitloc_N_RN_IndLF.tif
6.09 MB
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coltime_suitloc_NC_RN_IndLF.tif
6.30 MB
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heatmapsNC.tif
11.19 MB
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lynx_connectivity_apennines.tif
7.25 MB
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lynx_habitatfunctionality_apennines.tif
7.62 MB
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lynx_suitability_apennines.tif
7.77 MB
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occprob_suitloc_C_RN_IndLF.tif
6.19 MB
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occprob_suitloc_N_RN_IndLF.tif
5.88 MB
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occprob_suitloc_NC_RN_IndLF.tif
6.31 MB
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README.md
6.03 KB
Abstract
Aim: Reintroducing carnivores is a widely used approach to restore the natural integrity of ecosystems. Species distribution models (SDMs) and connectivity analyses are valuable tools for planning reintroductions and identifying release sites but are rarely combined. We propose a new framework combining SDMs, connectivity modelling and individual‐based models (IBMs) to assess the feasibility of various reintroduction scenarios. As a case study, we applied this framework to plan a potential reintroduction of the Eurasian lynx (Lynx lynx) to the Apennines by: (i) assessing niche overlap between potential source and target populations; (ii) integrating habitat suitability and connectivity to select release sites and (iii) evaluating reintroduction outcomes through IBMs.
Location: Apennines, Peninsular Italy.
Methods: We combined niche overlap analysis, ensembles of fine‐tuned SDMs and circuit‐theory techniques to model connectivity. Then, we integrated suitability and connectivity predictions within a GIS environment to identify the optimal release sites under different scenarios. Finally, we used IBMs to assess population viability, site occupancy and dispersal.
Results: Niche overlap suggested that the Carpathian lynx populations may serve as a valid reintroduction source. Integrating habitat and connectivity models highlighted the most functional sites in the Central (CA) and Northern Apennines (NA). A scenario with individuals released in both CA and NA did not outperform the single‐area scenarios. Releasing individuals only in CA showed long‐term feasibility but a higher risk of isolation, while release only in NA would not result in viable populations in the long term, despite closer proximity to suitable areas in the Alps.
Main conclusions: Our framework can help practitioners with integrating functional connectivity within the selection of release sites for species reintroductions. We recommend incorporating demography, as well as dispersal and settlement phases, when evaluating reintroduction scenarios. This approach identifies critical mortality areas, predicts population size, site occupancy and connectivity and enhances decision‐making for successful reintroductions.
Dataset DOI: 10.5061/dryad.59zw3r2km
Aim of the study
The aim of the study was to develop a framework able to support reintroduction planning through ecological modeling techniques.
Thus, we created the ‘MDS’ framework (Model, Define and Simulate), where niche overlap, species distribution models (SDMs), connectivity modeling, and individual-based models (IBMs) are integrated to model niche overlap between potential source and target populations, define potential release sites, and simulate several reintroduction scenarios to evaluate their outcomes.
The following data are related to a case study of a Eurasian lynx (Lynx lynx) reintroduction in the Apennines where we used the MDS framework.
Recommended Citation
Serva, D., Krofel, M., Cerasoli, F., Biondi, M., & Iannella, M. (2025). Supporting Reintroduction Planning: A Framework Integrating Habitat Suitability, Connectivity and Individual‐Based Modelling. A Case Study With the Eurasian Lynx in the Apennines. Diversity and Distributions, 31(4), e70024.
Dataset Overview: description of the data and file structure
Main results of the article: Supporting reintroduction planning: a framework integrating habitat suitability, connectivity, and individual-based modeling, a case study with the Eurasian lynx in the Apennines
by Davide Serva*, Miha Krofel, Francesco Cerasoli, Maurizio Biondi & Mattia Iannella
Correspond to davide.serva@graduate.univaq.it for any further information.
Results provided are:
- Habitat suitability for the Apennines at ~300m resolution (.tif); this layer was obtained as a result of an ensemble modeling approach with the ‘SDMtune’ R package.
- Habitat connectivity for the Apennines at ~300m resolution (.tif); this layer was obtained using Circuitscape in the ‘pairwise’ mode between the most suitable patches detected from the habitat suitability layer.
- Habitat functionality for the Apennines at ~300m resolution (.tif); This layer was obtained by integrating with a weighted mean the habitat suitability (60%) and the connectivity layer (40%).
- Potential reintroduction patches (.shp) identified from the habitat functionality layerwith the ‘Locate’ tool in ArcGIS Pro.
- Colonization time and occurrence probabilities from the IBMs simulations: N (Northern Apennines reintroduction); C (Central Apennines reintroduction); NC (Reintroduction in both areas). RN represents the ‘red_noise’ type of environmental stochasticity; all the files are at 100m resolution (.tif);
- Dispersal heatmap from the SMS obtained from the IBMs for the reintroduction scenario in both the Northern and Central Apennines at 100m resolution (.tif).
All the raster layers are provided at a resolution of ~300m, and under the coordinate reference system EPSG:3035 - ETRS89-extended / LAEA Europe.
Files and variables:
File: lynx_suitability_apennines.tif
Description: habitat suitability layer for the Apennines
File: lynx_connectivity_apennines.tif
Description: habitat connectivity layer for the Apennines
File: lynx_habitatfunctionality_apennines.tif
Description: habitat functionality layer for the Apennines
File: all_suitloc_patches_mod.cpg
Description: .cpg file, needed to open the shapefile.
File: all_suitloc_patches_mod.dbf
Description: .dbf file, needed to open the shapefile.
File: all_suitloc_patches_mod.prj
Description: .prj file, needed to open the shapefile.
File: all_suitloc_patches_mod.sbn
Description: .sbn file, needed to open the shapefile.
File: all_suitloc_patches_mod.sbx
Description: .sbx file, needed to open the shapefile.
File: all_suitloc_patches_mod.shx
Description: .shx file, needed to open the shapefile.
File: all_suitloc_patches_mod.shp
Description: shapefile of the potential reintroduction sites obtained from the habitat functionality layer.
File: coltime_suitloc_C_RN_IndLF.tif
Description: colonization time for a reintroduction in the Central Apennines, obtained from the ‘RangeShiftR’ R package.
File: coltime_suitloc_N_RN_IndLF.tif
Description: colonization time for a reintroduction in the Northern Apennines, obtained from the ‘RangeShiftR’ R package.
File: occprob_suitloc_C_RN_IndLF.tif
Description: occurrence probability for a reintroduction in the Central Apennines, obtained from the ‘RangeShiftR’ R package.
File: coltime_suitloc_NC_RN_IndLF.tif
Description: colonization time for a reintroduction in both the Northern and the Central Apennines, obtained from the ‘RangeShiftR’ R package.
File: occprob_suitloc_N_RN_IndLF.tif
Description: occurrence probability for a reintroduction in the Northern Apennines, obtained from the ‘RangeShiftR’ R package.
File: occprob_suitloc_NC_RN_IndLF.tif
Description: occurrence probability for a reintroduction in both the Northern and the Central Apennines, obtained from the ‘RangeShiftR’ R package.
File: heatmapsNC.tif
Description: dispersal heatmaps obtained from the Stochastic Movement Simulator within ‘RangeShiftR’ for a reintroduction in both the Northern and the Central Apennines.
Sharing/Access Information
Data are related to the following article: https://doi.org/10.1111/ddi.70024
Code/software
Data can be inspected both in GIS-related software and R, using the ‘terra’ and ‘sf’ packages.
Rasters can be accessed in R with the ‘terra’ R package (function ‘rast’), or within GIS software (e.g., QGIS).
The shapefile can be accessed in R with the ‘terra’ (function ‘vect’) and ‘sf’ R packages (function ‘st_read’), or within GIS software (e.g., QGIS).