Guidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystems

dc.contributor.authorAsbjornsen, Heidi
dc.contributor.authorCampbell, John L
dc.contributor.authorJennings, Katie A
dc.contributor.authorVadeboncoeur, Matthew A
dc.contributor.authorMcIntire, Cameron
dc.contributor.authorTempler, Pamela
dc.contributor.authorPhillips, Richard
dc.contributor.authorBauerle, Taryn
dc.contributor.authorDietze, Michael C
dc.contributor.authorFrey, Serita D
dc.contributor.authorMeir, Patrick
dc.date.accessioned2019-04-13T02:02:49Z
dc.date.issued2018
dc.date.updated2019-03-12T07:25:16Z
dc.description.abstract1. 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. 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.en_AU
dc.description.sponsorshipNew Hampshire Agricultural Experiment Station, Grant/Award Number: NH00071-M; Northern States Research Cooperative, Grant/Award Number: 14-DG-11242307- 142; National Science Foundation Long-Term Ecological Research, Grant/Award Number: 1637685; USDA Forest Service; University of New Hampshire; NASA, Grant/Award Number: NNX14AD31G; USDA National Institute of Food and Agriculture McIntire- Stennis Project, Grant/Award Number: NH00071-M; U.S. Department of Energy; Office of Science’s Terrestrial Ecosystem Science program; Pacific Northwest National Labs’ LDRD program; MSCA-IF 2015; EU-Horizon2020 program; NSF’s Research Coordination Network Programen_AU
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.issn2041-210Xen_AU
dc.identifier.urihttp://hdl.handle.net/1885/159551
dc.language.isoen_AUen_AU
dc.provenanceJournal: Methods in Ecology and Evolution (ESSN: 2041-210X) RoMEO: This is a RoMEO yellow journal Paid OA: A paid open access option is available for this journal. Author's Pre-print: green tick author can archive pre-print (ie pre-refereeing) Author's Post-print: grey tick subject to Restrictions below, author can archive post-print (ie final draft post-refereeing) Restrictions: 12 months embargo Publisher's Version/PDF: cross author cannot archive publisher's version/PDFen_AU
dc.publisherWiley-Blackwellen_AU
dc.rightsAuthor/s retain copyrighten_AU
dc.sourceMethods in Ecology and Evolutionen_AU
dc.titleGuidelines and considerations for designing field experiments simulating precipitation extremes in forest ecosystemsen_AU
dc.typeJournal articleen_AU
local.bibliographicCitation.issue12en_AU
local.contributor.affiliationAsbjornsen, Heidi, University of New Hampshireen_AU
local.contributor.affiliationCampbell, John L, USDA Forest Serviceen_AU
local.contributor.affiliationJennings, Katie A, University of New Hampshireen_AU
local.contributor.affiliationVadeboncoeur, Matthew A, University of New Hampshireen_AU
local.contributor.affiliationMcIntire, Cameron, University of New Hampshireen_AU
local.contributor.affiliationTempler, Pamela, Boston Universityen_AU
local.contributor.affiliationPhillips, Richard , Indiana Universityen_AU
local.contributor.affiliationBauerle, Taryn, Cornell Universityen_AU
local.contributor.affiliationDietze, Michael C , Boston University, USAen_AU
local.contributor.affiliationFrey, Serita D, University of New Hampshireen_AU
local.contributor.affiliationMeir, Patrick, College of Science, ANUen_AU
local.contributor.authoruidMeir, Patrick, u4875047en_AU
local.description.embargo2039-12-31
local.description.notesImported from ARIESen_AU
local.identifier.absfor060799 - Plant Biology not elsewhere classifieden_AU
local.identifier.absseo970106 - Expanding Knowledge in the Biological Sciencesen_AU
local.identifier.ariespublicationu3102795xPUB54en_AU
local.identifier.citationvolume9en_AU
local.identifier.doi10.1111/2041-210X.13094en_AU
local.identifier.scopusID2-s2.0-85055527025
local.type.statusPublished Versionen_AU

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