Published April 18, 2023 | Version 1
Dataset Open

Climate change threats to the global functional diversity of freshwater fish

  • 1. Institute of Environmental Sciences (CML), Leiden University, The Netherlands

Description

This dataset provides supplementary information for the paper entitled "Climate change threats to the global functional diversity of freshwater fish".

 

Fish trait data

fish_traits_removed.csv
- species with missing trait values were removed
- species coverage: 3,792

fish_traits_imputed.csv
- missing trait values were imputed
- species coverage: 11,425

Traits
- HLrel = relative head length
- BDrel = relative body depth
- Troph = trophic level
- K = relative growth rate


Geospatial data

Files
Data under the assumption of no dispersal
- SR.tif: species richness
- FRic.tif: functional richness
- FEve.tif: functional evenness
- FDiv.tif: functional divergence
- FRic_loss.tif: functional richness loss
- FEve_loss.tif: functional evenness loss
- FDiv_loss.tif: functional divergence loss

Data under the assumption of maximal dispersal
- SR_dispersal.tif: species richness
- FRic_dispersal.tif: functional richness
- FEve_dispersal.tif: functional evenness
- FDiv_dispersal.tif: functional divergence
- FRic_loss_dispersal.tif: functional richness loss
- FEve_loss_dispersal.tif: functional evenness loss
- FDiv_loss_dispersal.tif: functional divergence loss

Layers
- imp_*: missing trait values were imputed
- rem_*: species with missing trait values were removed
- *_hist: historical reference scenario
- *_1p5: warming level of 1.5°C
- *_2p0: warming level of 2.0°C
- *_3p2: warming level of 3.2°C
- *_4p5: warming level of 4.5°C

Spatial resolution: 0.08333333, 0.08333333 (x, y)
Spatial extent: -180, 180, -60, 85 (xmin, xmax, ymin, ymax)
Coordinate reference system: WGS84

Files

FDiv.tif

Files (351.7 MB)

Name Size Download all
md5:9c312476d27be432e229fa1d96eb8571
26.2 MB Preview Download
md5:d5f1a22c15298d52545e2fde78ab7964
36.6 MB Preview Download
md5:f6e4a5401746b5151b57156ec3b2adf5
18.0 MB Preview Download
md5:2964858589ea660a66284c2ab5de84ff
33.9 MB Preview Download
md5:0bc10be33aba0d44fc534f1a8f045d0b
26.3 MB Preview Download
md5:70c8271e80b9b5e0be7fc2eaf5735ea5
36.7 MB Preview Download
md5:4eb2b259b8a2b007ecd81848077fc656
18.0 MB Preview Download
md5:a0104cb0198478fb315069648867ead6
33.6 MB Preview Download
md5:4e6a6eb2d05a69c20e17703b1947dc72
639.6 kB Preview Download
md5:435ce209f01c9fd95239db5b89cadf52
208.0 kB Preview Download
md5:248f391e11db15ca4cab3a692c1fe322
22.3 MB Preview Download
md5:385ebe3b6e3c394b8e4eb38deef082a7
26.6 MB Preview Download
md5:175344eda3a3a8bd52e57d17447a7b63
12.9 MB Preview Download
md5:552e9ee8a2f611a47dc010166d3d2cef
20.6 MB Preview Download
md5:e03f99f7a5d5d473e2f6bc7c9ca522c9
16.3 MB Preview Download
md5:85aa28d01895d805ba2cba14a0352335
22.6 MB Preview Download

Additional details

Related works

Is documented by
Journal article: 10.1111/gcb.16723 (DOI)