Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems
Abstract
1. We report that precipitation regimes are changing in response to climate change, yet understanding of how forest ecosystems respond to extreme droughts and pluvials remains incomplete. As future precipitation extremes will likely fall outside the range of historical variability, precipitation manipulation experiments (PMEs) are critical to advancing knowledge about potential ecosystem responses. However, few PMEs have been conducted in forests compared to short-statured ecosystems, and forest PMEs have unique design requirements and constraints. Moreover, past forest PMEs have lacked coordination, limiting cross-site comparisons. Here, we review and synthesize approaches, challenges, and opportunities for conducting PMEs in forests, with the goal of guiding design decisions, while maximizing the potential for coordination.2. We reviewed 63 forest PMEs at 70 sites world-wide. Workshops, meetings, and communications with experimentalists were used to generate and build consensus around approaches for addressing the key challenges and enhancing coordination.3. Past forest PMEs employed a variety of study designs related to treatment level, replication, plot and infrastructure characteristics, and measurement approaches. Important considerations for establishing new forest PMEs include: selecting appropriate treatment levels to reach ecological thresholds; balancing cost, logistical complexity, and effectiveness in infrastructure design; and preventing unintended water subsidies. Response variables in forest PMEs weremore »
- Authors:
-
[1];
[4];
more »
- Univ. of New Hampshire, Durham, NH (United States)
- USDA Forest Service, Durham, NH (United States)
- Boston Univ., MA (United States)
- Indiana Univ., Bloomington, IN (United States)
- Cornell Univ., Ithaca, NY (United States)
- City University of New York and Brooklyn College, New York, NY (United States)
- Universidad Autonoma de Barcelona (Spain)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Plymouth State University, Plymouth, NH (United States); Mount Washington Observatory, North Conway, NH (United States)
- Colorado State Univ., Fort Collins, CO (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Australian National Univ., Canberra, ACT (Australia); Univ. of Edinburgh, Scotland (United Kingdom)
- Univ. of New Mexico, Albuquerque, NM (United States)
- USDA Forest Service, Northern Research Station, Burlington, VT (United States)
- Northern Research Station, USDA Forest Service, Durham, NH (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1488730
- Alternate Identifier(s):
- OSTI ID: 1479037
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Methods in Ecology and Evolution (Online)
- Additional Journal Information:
- Journal Name: Methods in Ecology and Evolution (Online); Journal Volume: 9; Journal Issue: 12; Journal ID: ISSN 2041-210X
- Publisher:
- British Ecological Society - Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; climate extremes; drought; ecological thresholds; savannas; shrublands; woodlands
Citation Formats
Asbjornsen, Heidi, Campbell, John L., Jennings, Katie A., Vadeboncoeur, Matthew A., McIntire, Cameron, Templer, Pamela H., Phillips, Richard P., Bauerle, Taryn L., Dietze, Michael C., Frey, Serita D., Groffman, Peter M., Guerrieri, Rosella, Hanson, Paul J., Kelsey, Eric P., Knapp, Alan K., McDowell, Nathan G., Meir, Patrick, Novick, Kimberly A., Ollinger, Scott V., Pockman, Will T., Schaberg, Paul G., Wullschleger, Stan D., Smith, Melinda D., and Rustad, Lindsey E. Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems. United States: N. p., 2018.
Web. doi:10.1111/2041-210X.13094.
Asbjornsen, Heidi, Campbell, John L., Jennings, Katie A., Vadeboncoeur, Matthew A., McIntire, Cameron, Templer, Pamela H., Phillips, Richard P., Bauerle, Taryn L., Dietze, Michael C., Frey, Serita D., Groffman, Peter M., Guerrieri, Rosella, Hanson, Paul J., Kelsey, Eric P., Knapp, Alan K., McDowell, Nathan G., Meir, Patrick, Novick, Kimberly A., Ollinger, Scott V., Pockman, Will T., Schaberg, Paul G., Wullschleger, Stan D., Smith, Melinda D., & Rustad, Lindsey E. Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems. United States. doi:10.1111/2041-210X.13094.
Asbjornsen, Heidi, Campbell, John L., Jennings, Katie A., Vadeboncoeur, Matthew A., McIntire, Cameron, Templer, Pamela H., Phillips, Richard P., Bauerle, Taryn L., Dietze, Michael C., Frey, Serita D., Groffman, Peter M., Guerrieri, Rosella, Hanson, Paul J., Kelsey, Eric P., Knapp, Alan K., McDowell, Nathan G., Meir, Patrick, Novick, Kimberly A., Ollinger, Scott V., Pockman, Will T., Schaberg, Paul G., Wullschleger, Stan D., Smith, Melinda D., and Rustad, Lindsey E. Sun .
"Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems". United States. doi:10.1111/2041-210X.13094. https://www.osti.gov/servlets/purl/1488730.
@article{osti_1488730,
title = {Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems},
author = {Asbjornsen, Heidi and Campbell, John L. and Jennings, Katie A. and Vadeboncoeur, Matthew A. and McIntire, Cameron and Templer, Pamela H. and Phillips, Richard P. and Bauerle, Taryn L. and Dietze, Michael C. and Frey, Serita D. and Groffman, Peter M. and Guerrieri, Rosella and Hanson, Paul J. and Kelsey, Eric P. and Knapp, Alan K. and McDowell, Nathan G. and Meir, Patrick and Novick, Kimberly A. and Ollinger, Scott V. and Pockman, Will T. and Schaberg, Paul G. and Wullschleger, Stan D. and Smith, Melinda D. and Rustad, Lindsey E.},
abstractNote = {1. We report that precipitation regimes are changing in response to climate change, yet understanding of how forest ecosystems respond to extreme droughts and pluvials remains incomplete. As future precipitation extremes will likely fall outside the range of historical variability, precipitation manipulation experiments (PMEs) are critical to advancing knowledge about potential ecosystem responses. However, few PMEs have been conducted in forests compared to short-statured ecosystems, and forest PMEs have unique design requirements and constraints. Moreover, past forest PMEs have lacked coordination, limiting cross-site comparisons. Here, we review and synthesize approaches, challenges, and opportunities for conducting PMEs in forests, with the goal of guiding design decisions, while maximizing the potential for coordination.2. We reviewed 63 forest PMEs at 70 sites world-wide. Workshops, meetings, and communications with experimentalists were used to generate and build consensus around approaches for addressing the key challenges and enhancing coordination.3. Past forest PMEs employed a variety of study designs related to treatment level, replication, plot and infrastructure characteristics, and measurement approaches. Important considerations for establishing new forest PMEs include: selecting appropriate treatment levels to reach ecological thresholds; balancing cost, logistical complexity, and effectiveness in infrastructure design; and preventing unintended water subsidies. Response variables in forest PMEs were organized into three broad tiers reflecting increasing complexity and resource intensiveness, with the first tier representing a recommended core set of common measurements.4. Differences in site conditions combined with unique research questions of experimentalists necessitate careful adaptation of guidelines for forest PMEs to balance local objectives with coordination among experiments. Finally, we advocate adoption of a common framework for coordinating forest PME design to enhance cross-site comparability and advance fundamental knowledge about the response and sensitivity of diverse forest ecosystems to precipitation extremes.},
doi = {10.1111/2041-210X.13094},
journal = {Methods in Ecology and Evolution (Online)},
number = 12,
volume = 9,
place = {United States},
year = {2018},
month = {9}
}
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Drought-related tree mortality: addressing the gaps in understanding and prediction
journal, March 2015
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The role of nutrients in drought-induced tree mortality and recovery
journal, November 2016
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A field experiment informs expected patterns of conifer regeneration after disturbance under changing climate conditions
journal, November 2015
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- Canadian Journal of Forest Research, Vol. 45, Issue 11
Variability of throughfall volume and solute inputs in wooded ecosystems
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Whole-plant trait spectra of North American woody plant species reflect fundamental ecological strategies
journal, October 2013
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Impacts of extreme precipitation and seasonal changes in precipitation on plants
journal, January 2014
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Physiological homeostasis and morphological plasticity of two tree species subjected to precipitation seasonal distribution changes
journal, April 2017
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- Perspectives in Plant Ecology, Evolution and Systematics, Vol. 25
Convergence across biomes to a common rain-use efficiency
journal, June 2004
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Carbon limitation in trees
journal, February 2003
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Learning from single extreme events
journal, May 2017
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Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs)
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Urgent need for a common metric to make precipitation manipulation experiments comparable: Letters
journal, June 2012
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Short-term effects of drought on tropical forest do not fully predict impacts of repeated or long-term drought: gas exchange versus growth
journal, October 2018
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Drought Differentially Affects Growth, Transpiration, and Water Use Efficiency of Mixed and Monospecific Planted Forests
journal, February 2019
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Experimental Design and Sample Preparation in Forest Tree Metabolomics
journal, November 2019
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