Published June 20, 2024 | Version v1

Data from: Climatically robust multi-scale species distribution models to support pronghorn recovery in California

  • 1. California State Polytechnic University
  • 2. Nature Conservancy
  • 3. New Mexico Department of Game and Fish

Description

We combined two climate-based distribution models with three finer-scale suitability models to identify habitat for pronghorn recovery in California now and into the future.

Location: California, United States 

Methods: We used a consensus approach to identify areas of suitable climate now (1980-2010) and future (2031-2060) for pronghorn in California. We compared the results of models from two separate hypotheses about their historical ecology in the state, specifically the migration hypothesis and the niche reduction hypothesis. We combined occurrences from GPS collars distributed across three populations of pronghorn in the state to create three distinct habitat models: (1) an ensemble model using Random Forests, Maxent, Classification and Regression Trees, and a Generalized Linear Model; (2) a step selection function; and (3) an expert-driven model. We evaluated consensus among both the climate models and the suitability models to prioritize areas for, and evaluate the prospects of, pronghorn recovery. 

Results: Climate suitability for pronghorn in the future depends heavily on model assumptions. Under the migration hypothesis, our model predicted that there will be on suitable climate in California in the future. Under the niche reduction hypothesis, by contrast, suitable climate will expand. Habitat also depended on the methods used, but areas of consensus among all three exist in large patches throughout the state.

Main Conclusions: Identifying habitat for a species which has undergone extreme range collapse, and which has very fine scale habitat needs, presents novel challenges for spatial ecologists. Our multi-method, multi-hypothesis approach can allow habitat modelers to identify areas of consensus and, perhaps more importantly, critical knowledge gaps that could resolve disagreements among the models. For pronghorn, a better understanding of their upper thermal tolerances and whether historical populations migrated will be crucial to their potential recovery in California and throughout the arid Southwest.

Notes

Funding provided by: The Nature Conservancy
Crossref Funder Registry ID: https://ror.org/0563w1497
Award Number:

Files

ag_agg.tif

Files (240.9 MB)

Name Size Download all
md5:47d0e7389dd51d023335c88790da25d9
1.4 MB Preview Download
md5:3ba9afb61c702d66fa2de423f08108c6
3.5 MB Preview Download
md5:59d68e5b483199de58e4a5b25ff74cce
1.4 MB Preview Download
md5:2036feb50c56813901c49fc8388df5bd
6.4 MB Preview Download
md5:d323f61281c686221669fee0f888d758
1.9 MB Preview Download
md5:91262235499874e2348366f29c489820
1.2 MB Preview Download
md5:fb5a19152030679802747b42d90407df
7.3 MB Preview Download
md5:c5cc2a502b83a4df375a256835a3e0c3
4.8 MB Preview Download
md5:b1ead6200fa58def39ca007c736a6543
1.9 MB Preview Download
md5:161308928ba464e485a0fe7e448c1422
4.2 MB Preview Download
md5:49718bcedb94d561a1fda92c0cc0160a
962.4 kB Preview Download
md5:bbd5223901aa7bcc76edae8b5793004e
7.2 MB Preview Download
md5:5c689b61f938d584f6f99de1e09abc9e
1.1 MB Preview Download
md5:c8a7917126f1c3de406ee0aa6f63afdd
882.0 kB Preview Download
md5:1e5e218cb721b2fb3dfdb35a46c96d6a
989.4 kB Preview Download
md5:06e71d352faaf89a41ff5b8e283e4464
7.0 MB Preview Download
md5:8b439303e9785ad4ad032b81a20aaac7
2.1 MB Preview Download
md5:29fa7500cbe7dee07360d92a2af7a369
1.9 MB Preview Download
md5:d23012e0201be4d652fc38902e2b4e3d
335.2 kB Preview Download
md5:6d3330b6016634984a24d6e4642f89b3
2.1 MB Preview Download
md5:9c28ad14df015b2555dbeec0e575e109
176.6 kB Preview Download
md5:1cfde1c7a54b0e27375ed91fc35a9cab
2.1 MB Preview Download
md5:0ea3f77d37cba8183c0e00b63aad6ce6
1.1 MB Preview Download
md5:eff8584ff5f9b0850b8ff3fdb9980f4a
1.2 MB Preview Download
md5:9be96413b05b8e9fcd8eb660bf28dea8
4.1 MB Preview Download
md5:d11a877c92a8c77391f47d291d275d87
6.7 MB Preview Download
md5:84e9c02053b58c5fb8f17106f90c83e2
6.8 MB Preview Download
md5:aa05e68399867692c369578271eb66e0
6.4 MB Preview Download
md5:890839ae3725332f7f033772237f39d3
7.3 kB Preview Download
md5:fe62a7c96268bd18afa98bdfeca48e5a
13.2 MB Preview Download
md5:92408c109536e771c7be83445d703118
2.4 MB Preview Download
md5:8ca49fd4a90c4a83011cd715a7d169db
7.4 MB Preview Download
md5:1f475c655275a40241f425c70c9e74b8
6.8 MB Preview Download
md5:de16db1272b961bb5de0e7af42d2eb97
944.6 kB Preview Download
md5:c04c13df0dabc55773d94665be68e8a0
886.1 kB Preview Download
md5:8fb98021828453b401250f6de01524db
927.6 kB Preview Download
md5:b1c06b73cda4b8e815cc563bbbf907ac
3.1 MB Preview Download
md5:6c4d4a826ae1da0e4b9ce0f0ff9092ac
204.7 kB Preview Download
md5:a8886d251b440068a648115d8f218fde
3.1 MB Preview Download
md5:f4f19deb88138a9545951bf00ba156cb
65.4 MB Preview Download
md5:4dd38cee65e43afd6e9bfd39995112ef
307.9 kB Preview Download
md5:36462126549a2ccc0df3919bb669a711
7.9 MB Preview Download
md5:cdc68570d41a0c78892dcde93e72fa1e
7.4 MB Preview Download
md5:a211dc556dc37e0635cfa70e388a4b1d
1.3 MB Preview Download
md5:1694e7003eec98c44e12d01976162098
3.0 MB Preview Download
md5:a5000f9cad43cd1d5a1454a46019a287
328.8 kB Preview Download
md5:b53a2645fda7b0cad8731b61d77996dd
3.1 MB Preview Download
md5:2d4e97551758339721db76d395a36731
25.9 MB Preview Download
md5:b740a3d540064c3d0843dcbf2ee83d6f
297.5 kB Preview Download

Additional details

Related works

Is source of
10.5281/zenodo.12192193 (DOI)