Spatial decision‐support tools to guide restoration and seed‐sourcing in the Desert Southwest

Ecosphere - Tập 9 Số 10 - 2018
Daniel F. Shryock1, Lesley A. DeFalco1, Todd C. Esque1
1U.S. Geological Survey, Western Ecological Research Center, 160 North Stephanie Street, Henderson, Nevada, 89074 USA

Tóm tắt

AbstractAltered disturbance regimes and shifting climates have increased the need for large‐scale restoration treatments across the western United States. Seed‐sourcing remains a considerable challenge for revegetation efforts, particularly on public lands where policy favors the use of native, locally sourced plant material to avoid maladaptation. An important area of emphasis for public agencies has been the development of spatial tools to guide selection of genetically appropriate seed. When genetic information is not available, current seed transfer guidelines stipulate use of climate‐based or provisional seed transfer zones, which serve as a proxy for local adaptation by representing climate gradients to which plants are commonly adapted. Despite this guidance, little emphasis has been placed on identifying best practices for deriving provisional seed zones or on incorporating predictions from future climate. We describe a flexible, multivariate procedure for deriving such zones that incorporates a broad range of climatic characteristics while accounting for covariation among climate variables. With this approach, we derive provisional seed zones for four regions in the Desert Southwest (the Mojave Desert, Sonoran Desert, Colorado Plateau, and Southern Great Basin). To facilitate future‐resilient restoration designs, we project each zone into its relative position in the future climate based on near‐term, RCP4.5 and RCP8.5 emissions scenarios. Although provisional seed zones are useful in a variety of contexts, there are also situations in which site‐specific guidance is preferable. To meet this need, we implement Climate Distance Mapper, an interactive decision‐support tool designed to help practitioners match seed sources with restoration sites through an accessible online interface. The application allows users to rank the suitability of seed sources anywhere on the landscape based on multivariate climate distances. Users can perform calculations for either the current or future climates. Additionally, tools are available to guide sample effort in regional‐scale seed collections or to partition the landscape into climate clusters representing suitable planting sites for different seed sources. Our tools and analytic procedures represent a flexible and reproducible framework for advancing native plant development programs in the Desert Southwest and beyond.

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Tài liệu tham khảo

10.1111/j.1526-100X.2011.00848.x

10.1111/j.1752-4571.2007.00013.x

10.1111/gcb.12181

10.1111/gcb.12719

10.1890/13-0285.1

10.1007/s10592-012-0425-z

10.1111/j.1752-4571.2008.00045.x

10.1111/oik.02311

10.1111/j.1472-4642.2011.00752.x

Chang W. J.Cheng J. J.Allaire Y.Xie andJ.McPherson.2017.shiny: web application framework for R. R package version 1.0.0.https://CRAN.R-project.org/package=shiny

10.1007/s00442-004-1551-1

10.1111/rec.12574

10.1002/ecs2.2059

10.1038/nclimate1633

10.1002/joc.1688

10.1146/annurev.es.23.110192.000431

10.1126/science.292.5517.673

10.3732/ajb.90.7.1045

10.1111/j.1526-100X.2010.00739.x

10.1002/eap.1505

10.1007/BF00397870

10.3732/ajb.1400024

10.1111/ele.12376

10.3375/043.035.0118

10.1111/gcb.12736

10.1073/pnas.1711009114

10.1007/s00267-003-1084-0

10.1086/597611

Hijmans R. J. S.Phillips J.Leathwick andJ.Elith.2016.dismo: species distribution modelling. R package version 1.1‐1.https://CRAN.R-project.org/package=dismo

10.1016/S0169-5347(03)00002-8

IPCC, 2014, Climate Change 2014: the Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change

10.1111/conl.12424

10.2111/REM-D-11-00165.1

10.2979/NPJ.2010.11.2.117

10.1002/9780470316801

10.1111/1365-2664.12202

10.1111/1365-2664.12309

10.3375/043.035.0108

10.1371/journal.pone.0004010

10.1139/x06-047

10.1007/s002679900235

Maechler M. P.Rousseeuw A.Struyf M.Hubert andK.Hornik.2016.cluster: cluster Analysis Basics and Extensions. R package version 2.0.5.https://cran.r-project.org/package=cluster

10.1111/j.1365-294X.2012.05656.x

10.1111/j.1526-100X.2005.00058.x

10.1007/s11258-004-3038-x

10.18637/jss.v053.i09

Oksanen J. F.Guillaume B.Roeland Kindt P.Legendre P. R.Minchin R. B.O'Hara G. L.Simpson P.Solymos H. H.Stevens andH.Wagner.2015.vegan: community Ecology Package. R package version 2.0‐8.https://CRAN.R-project.org/package=vegan

10.1093/biosci/biv127

10.1007/s00267-014-0364-1

10.1139/x92-035

10.1111/j.0014-3820.2006.tb01872.x

10.1111/j.1526-100X.2010.00656.x

10.1007/s004420100720

10.1007/s11056-012-9322-z

10.1890/0012-9658(1997)078[0764:WRAATD]2.0.CO;2

R Core Team, 2016, R: a language and environment for statistical computing

10.3732/ajb.90.10.1481

10.1111/j.1752-4571.2010.00157.x

10.1111/ele.12120

Shryock D. F. L. A.DeFalco andT. C.Esque.2018.Principal components of climate variation in the Desert Southwest for the time periods 1980‐2010 2040‐2070 (RCP8.5) and (RCP4.5): U.S. Geological Survey data release.https://doi.org/10.5066/p9fcrghf

10.1007/s10592-015-0741-1

10.1002/eap.1447

10.3732/ajb.1200469

10.2111/1551-5028(2005)58[315:PAREAC]2.0.CO;2

10.1371/journal.pone.0156720

10.1890/08-2257.1

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Ecosphere

Tập 9 Số 10

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