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Title: Forecasting climate change impacts on plant populations over large spatial extents

Abstract

Plant population models are powerful tools for predicting climate change impacts in one location, but are difficult to apply at landscape scales. Here, we overcome this limitation by taking advantage of two recent advances: remotely sensed, species-specific estimates of plant cover and statistical models developed for spatiotemporal dynamics of animal populations. Using computationally efficient model reparameterizations, we fit a spatiotemporal population model to a 28-year time series of sagebrush (Artemisia spp.) percent cover over a 2.5 × 5 km landscape in southwestern Wyoming while formally accounting for spatial autocorrelation. We include interannual variation in precipitation and temperature as covariates in the model to investigate how climate affects the cover of sagebrush. We then use the model to forecast the future abundance of sagebrush at the landscape scale under projected climate change, generating spatially explicit estimates of sagebrush population trajectories that have, until now, been impossible to produce at this scale. Our broadscale and long-term predictions are rooted in small-scale and short-term population dynamics and provide an alternative to predictions offered by species distribution models that do not include population dynamics. Finally, our approach, which combines several existing techniques in a novel way, demonstrates the use of remote sensing data tomore » model population responses to environmental change that play out at spatial scales far greater than the traditional field study plot.« less

Authors:
ORCiD logo [1];  [2];  [3];  [4];  [1];  [1]
  1. Utah State Univ., Logan, UT (United States). Dept. of Wildland Resources and the Ecology Center
  2. Colorado State Univ., Fort Collins, CO (United States). U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit; Colorado State Univ., Fort Collins, CO (United States). Dept. of Fish, Wildlife, and Conservation Biology; Colorado State Univ., Fort Collins, CO (United States). Dept. of Statistics
  3. Colorado State Univ., Fort Collins, CO (United States). Dept. of Ecosystem Science and Sustainability, Natural Resource Ecology Lab.; U.S. Geological Survey, Fort Collins, CO (United States). Fort Collins Science Center
  4. U.S. Geological Survey, Sioux Falls, SD (United States). Earth Resources Observation and Science (EROS) Center
Publication Date:
Research Org.:
Utah State Univ., Logan, Utah (United States)
Sponsoring Org.:
National Science Foundation (NSF)
OSTI Identifier:
1418516
Grant/Contract Number:  
DEB-1054040; DBI-1400370
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Ecosphere
Additional Journal Information:
Journal Volume: 7; Journal Issue: 10; Journal ID: ISSN 2150-8925
Publisher:
Ecological Society of America
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Artemisia; climate change; dimension reduction; forecasting; population model; remote sensing; sagebrush; spatiotemporal model

Citation Formats

Tredennick, Andrew T., Hooten, Mevin B., Aldridge, Cameron L., Homer, Collin G., Kleinhesselink, Andrew R., and Adler, Peter B. Forecasting climate change impacts on plant populations over large spatial extents. United States: N. p., 2016. Web. doi:10.1002/ecs2.1525.
Tredennick, Andrew T., Hooten, Mevin B., Aldridge, Cameron L., Homer, Collin G., Kleinhesselink, Andrew R., & Adler, Peter B. Forecasting climate change impacts on plant populations over large spatial extents. United States. doi:10.1002/ecs2.1525.
Tredennick, Andrew T., Hooten, Mevin B., Aldridge, Cameron L., Homer, Collin G., Kleinhesselink, Andrew R., and Adler, Peter B. Mon . "Forecasting climate change impacts on plant populations over large spatial extents". United States. doi:10.1002/ecs2.1525. https://www.osti.gov/servlets/purl/1418516.
@article{osti_1418516,
title = {Forecasting climate change impacts on plant populations over large spatial extents},
author = {Tredennick, Andrew T. and Hooten, Mevin B. and Aldridge, Cameron L. and Homer, Collin G. and Kleinhesselink, Andrew R. and Adler, Peter B.},
abstractNote = {Plant population models are powerful tools for predicting climate change impacts in one location, but are difficult to apply at landscape scales. Here, we overcome this limitation by taking advantage of two recent advances: remotely sensed, species-specific estimates of plant cover and statistical models developed for spatiotemporal dynamics of animal populations. Using computationally efficient model reparameterizations, we fit a spatiotemporal population model to a 28-year time series of sagebrush (Artemisia spp.) percent cover over a 2.5 × 5 km landscape in southwestern Wyoming while formally accounting for spatial autocorrelation. We include interannual variation in precipitation and temperature as covariates in the model to investigate how climate affects the cover of sagebrush. We then use the model to forecast the future abundance of sagebrush at the landscape scale under projected climate change, generating spatially explicit estimates of sagebrush population trajectories that have, until now, been impossible to produce at this scale. Our broadscale and long-term predictions are rooted in small-scale and short-term population dynamics and provide an alternative to predictions offered by species distribution models that do not include population dynamics. Finally, our approach, which combines several existing techniques in a novel way, demonstrates the use of remote sensing data to model population responses to environmental change that play out at spatial scales far greater than the traditional field study plot.},
doi = {10.1002/ecs2.1525},
journal = {Ecosphere},
issn = {2150-8925},
number = 10,
volume = 7,
place = {United States},
year = {2016},
month = {10}
}

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Cited by: 6 works
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Works referenced in this record:

A Continuous Satellite-Derived Measure of Global Terrestrial Primary Production
journal, January 2004


Inference from Iterative Simulation Using Multiple Sequences
journal, November 1992


Species Distribution Models: Ecological Explanation and Prediction Across Space and Time
journal, December 2009


Climate-related variation in mortality and recruitment determine regional forest-type distributions: Forest distributions from demography
journal, June 2013

  • Vanderwel, Mark C.; Lyutsarev, Vassily S.; Purves, Drew W.
  • Global Ecology and Biogeography, Vol. 22, Issue 11
  • DOI: 10.1111/geb.12081

The ecological forecast horizon, and examples of its uses and determinants
journal, May 2015

  • Petchey, Owen L.; Pontarp, Mikael; Massie, Thomas M.
  • Ecology Letters, Vol. 18, Issue 7
  • DOI: 10.1111/ele.12443

Ecological Forecasts: An Emerging Imperative
journal, July 2001


Ecohydrological niche of sagebrush ecosystems
journal, June 2011

  • Schlaepfer, Daniel R.; Lauenroth, William K.; Bradford, John B.
  • Ecohydrology, Vol. 5, Issue 4
  • DOI: 10.1002/eco.238

Effects of the 1934 Drought on Native Vegetation of the Upper Snake River Plans, Idaho
journal, October 1937

  • Pechanec, J. F.; Pickford, G. D.; Stewart, George
  • Ecology, Vol. 18, Issue 4
  • DOI: 10.2307/1930575

A guide to Bayesian model selection for ecologists
journal, February 2015

  • Hooten, M. B.; Hobbs, N. T.
  • Ecological Monographs, Vol. 85, Issue 1
  • DOI: 10.1890/14-0661.1

Enhanced growth of sagebrush (Artemisia tridentata) in response to manipulated ecosystem warming
journal, May 2003


Using spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey counts
journal, May 2015

  • Conn, Paul B.; Johnson, Devin S.; Hoef, Jay M. Ver
  • Ecological Monographs, Vol. 85, Issue 2
  • DOI: 10.1890/14-0959.1

Climate change vulnerability of forest biodiversity: climate and competition tracking of demographic rates: FORESTS, CLIMATE CHANGE, AND COMPETITION
journal, February 2011


Integral Projection Models for Species with Complex Demography
journal, March 2006

  • Ellner, Stephen P.; Rees, Mark
  • The American Naturalist, Vol. 167, Issue 3
  • DOI: 10.1086/499438

Ecological forecasting and data assimilation in a data-rich era
journal, July 2011

  • Luo, Yiqi; Ogle, Kiona; Tucker, Colin
  • Ecological Applications, Vol. 21, Issue 5
  • DOI: 10.1890/09-1275.1

Combined effects of climate, predation, and density dependence on Greater and Lesser Scaup population dynamics
journal, September 2015

  • Ross, Beth . E.; Hooten, Mevin B.; DeVink, Jean-Michel
  • Ecological Applications, Vol. 25, Issue 6
  • DOI: 10.1890/14-0582.1

Montane meadow change during drought varies with background hydrologic regime and plant functional group
journal, June 2010

  • Debinski, Diane M.; Wickham, Hadley; Kindscher, Kelly
  • Ecology, Vol. 91, Issue 6
  • DOI: 10.1890/09-0567.1

Potential Changes in the Distributions of Western North America Tree and Shrub Taxa under Future Climate Scenarios
journal, May 2001


Blackbox Kriging: Spatial Prediction without Specifying Variogram Models
journal, September 1996

  • Barry, Ronald Paul; Hoef, Jay M. Ver
  • Journal of Agricultural, Biological, and Environmental Statistics, Vol. 1, Issue 3
  • DOI: 10.2307/1400521

More than the sum of the parts: forest climate response from joint species distribution models
journal, July 2014

  • Clark, James S.; Gelfand, Alan E.; Woodall, Christopher W.
  • Ecological Applications, Vol. 24, Issue 5
  • DOI: 10.1890/13-1015.1

Predicting changes in the distribution and abundance of species under environmental change
journal, January 2015

  • Ehrlén, Johan; Morris, William F.
  • Ecology Letters, Vol. 18, Issue 3
  • DOI: 10.1111/ele.12410

Science, policy, and the fate of the greater sage-grouse
journal, June 2015


Shifts in the spatio-temporal growth dynamics of shortleaf pine
journal, July 2007

  • Hooten, Mevin B.; Wikle, Christopher K.
  • Environmental and Ecological Statistics, Vol. 14, Issue 3
  • DOI: 10.1007/s10651-007-0016-1

Quantifying how short-term environmental variation leads to long-term demographic responses to climate change
journal, November 2015


Uncertainty as Information: Narrowing the Science-policy Gap
journal, January 2000


The compadre Plant Matrix Database: an open online repository for plant demography
journal, November 2014

  • Salguero-Gómez, Roberto; Jones, Owen R.; Archer, C. Ruth
  • Journal of Ecology, Vol. 103, Issue 1
  • DOI: 10.1111/1365-2745.12334

Integral projection models for populations in temporally varying environments
journal, November 2009

  • Rees, Mark; Ellner, Stephen P.
  • Ecological Monographs, Vol. 79, Issue 4
  • DOI: 10.1890/08-1474.1

Will remote sensing shape the next generation of species distribution models?
journal, October 2015

  • He, Kate S.; Bradley, Bethany A.; Cord, Anna F.
  • Remote Sensing in Ecology and Conservation, Vol. 1, Issue 1
  • DOI: 10.1002/rse2.7

Multi-scale remote sensing sagebrush characterization with regression trees over Wyoming, USA: Laying a foundation for monitoring
journal, February 2012

  • Homer, Collin G.; Aldridge, Cameron L.; Meyer, Debra K.
  • International Journal of Applied Earth Observation and Geoinformation, Vol. 14, Issue 1
  • DOI: 10.1016/j.jag.2011.09.012

Density‐Structured Models for Plant Population Dynamics
journal, January 2011

  • Freckleton, Robert P.; Sutherland, William J.; Watkinson, Andrew R.
  • The American Naturalist, Vol. 177, Issue 1
  • DOI: 10.1086/657621

Modeling regeneration responses of big sagebrush (Artemisia tridentata) to abiotic conditions
journal, August 2014


Controls on Radial Growth of Mountain Big Sagebrush and Implications for Climate Change
journal, December 2009

  • Poore, Rebecca E.; Lamanna, Christine A.; Ebersole, James J.
  • Western North American Naturalist, Vol. 69, Issue 4
  • DOI: 10.3398/064.069.0416

Forecasting plant community impacts of climate variability and change: when do competitive interactions matter?: Climate and species interactions
journal, December 2011


From meso- to macroscale population dynamics: a new density-structured approach: From meso- to macroscale population dynamics
journal, November 2010


Natural Regeneration Processes in Big Sagebrush (Artemisia tridentata)
journal, July 2014

  • Schlaepfer, Daniel R.; Lauenroth, William K.; Bradford, John B.
  • Rangeland Ecology & Management, Vol. 67, Issue 4
  • DOI: 10.2111/REM-D-13-00079.1

Coexistence and environmental filtering of species-specific biomass in an African savanna
journal, June 2014

  • Colgan, Matthew S.; Asner, Gregory P.
  • Ecology, Vol. 95, Issue 6
  • DOI: 10.1890/13-1160.1

How to understand species’ niches and range dynamics: a demographic research agenda for biogeography: A demographic research agenda for biogeography
journal, August 2012


Climate influences the demography of three dominant sagebrush steppe plants
journal, January 2011

  • Dalgleish, Harmony J.; Koons, David N.; Hooten, Mevin B.
  • Ecology, Vol. 92, Issue 1
  • DOI: 10.1890/10-0780.1

Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations
journal, May 2015

  • Gerber, Brian D.; Kendall, William L.; Hooten, Mevin B.
  • Journal of Animal Ecology, Vol. 84, Issue 5
  • DOI: 10.1111/1365-2656.12370

Improving Remote Species Identification through Efficient Training Data Collection
journal, March 2014

  • Baldeck, Claire; Asner, Gregory
  • Remote Sensing, Vol. 6, Issue 4
  • DOI: 10.3390/rs6042682

Effects of Land Cover and Regional Climate Variations on Long-Term Spatiotemporal Changes in Sagebrush Ecosystems
journal, May 2012

  • Xian, George; Homer, Collin G.; Aldridge, Cameron L.
  • GIScience & Remote Sensing, Vol. 49, Issue 3
  • DOI: 10.2747/1548-1603.49.3.378

Forecasting the dynamics of a coastal fishery species using a coupled climate–population model
journal, March 2010

  • Hare, Jonathan A.; Alexander, Michael A.; Fogarty, Michael J.
  • Ecological Applications, Vol. 20, Issue 2
  • DOI: 10.1890/08-1863.1

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