Name: Simulating Impacts of Ice Storms on Forest Ecosystems (Video) | JoVE Journal
Uploaded: 2020-06-30T14:30:00.000+00:00
Duration: 6 min 27 s
Description: Discover a novel method for simulating ice storms by spraying water over forest canopies during sub-freezing conditions. This controlled approach enables researchers to study ecological impacts and infrastructure effects with precise timing and intensity control.

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5 minutes

Funding for this research was provided by the National Science Foundation (DEB-1457675). We thank the many participants in the Ice Storm Experiment (ISE) who helped with the ice application and associated field and laboratory work, especially Geoff Schwaner, Gabe Winant, and Brendan Leonardi. This manuscript is a contribution of the Hubbard Brook Ecosystem Study. Hubbard Brook is part of the Long-Term Ecological Research (LTER) network, which is supported by the National Science Foundation (DEB-1633026). The Hubbard Brook Experimental Forest is operated and maintained by the USDA Forest Service, Northern Research Station, Madison, WI.&#160;Video and images are by Jim Surette and Joe Klementovich, courtesy of the Hubbard Brook Research Foundation.

1. Develop the experimental design
<ol>
	<li>Determine the intensity and frequency of icing based on realistic values.</li>
	<li>Determine the size and shape of the plots.
	<ol>
		<li>If the goal is to evaluate tree responses, select a plot size that is large enough to include multiple trees and most of their root systems, which varies depending on factors such as tree species and age.</li>
		<li>For safety purposes, design the plots so that the entire plot area can be sprayed from outside the boundary.</li>
		<li>Space plots far enough apart (e.g., 10 m) so that a treatment in one plot does not affect another.</li>
		<li>Establish a buffer zone (e.g., 5 m) around plots to reduce edge effects and ensure a more even distribution of the ice coverage.</li>
		<li>Establish subplots within the larger plots for specific sampling needs.</li>
	</ol>
	</li>
	<li>Decide on the number of replicate plots.</li>
</ol>
2. Select and establish a study location
<ol>
	<li>Select a homogeneous forest stand with similar features, such as tree species composition, soils, lithology, and hydrology.</li>
	<li>Select a location for the application in an area where there is access to a water source during winter.</li>
	<li>Ensure that the supply of water is adequate for the ice application based on the pump rate and other factors such as the diameter of the hose, length of hose, nozzle used, and water pressure.</li>
	<li>Mark the boundary of the plots, buffer zone, and subplots.</li>
	<li>Conduct a complete forest inventory with descriptions of tree health conditions including assessments of dead, dying and damaged trees. Additionally, record any potential stressors (e.g., evidence of insect damage or disease) to help interpret the response to the ice treatment.</li>
	<li>If using UTVs to spray water, create passable trails along the sides of the plots while being careful to minimize disturbance.</li>
	<li>Once the plots are established, randomly assign a treatment to each plot and type of sampling that will be conducted in each subplot (e.g., coarse woody debris, fine litter, soil samples).</li>
</ol>
3. Timing of the application
<ol>
	<li>Select an appropriate window of time to perform the spraying.</li>
	<li>Perform the experiment when the weather conditions are conducive (e.g., when air temperature is less than -4 &#176;C and wind speed is less than 5 m/s).</li>
	<li>If spraying at night, deploy high powered lights around the edge of plots and run them on generators if electricity is not available.</li>
</ol>
4. Set up the water supply
<ol>
	<li>Set up a supply pump at the water source and connect a suction hose.</li>
	<li>Connect a strainer to the end of the suction hose to keep debris out of the lines.</li>
	<li>Break through any surface ice and fully submerge the strainer. The minimum depth of the water supply should be about 20 cm.</li>
	<li>Place a booster pump in the bed of a UTV to improve water pressure. In some cases, a booster pump may not be necessary, especially for low-stature vegetation.</li>
	<li>Run a firefighting hose from the supply pump to the booster pump.</li>
	<li>Use a fire-fighting monitor to enable safe, manual control over the high-pressure hose. The monitor can be free standing or mounted on the back of a UTV.</li>
	<li>Avoid situations that may interrupt the flow of water such as kinks in the hose, water drawdown at the supply source, and running out of gasoline for the pumps.</li>
</ol>
5. Creating the ice
<ol>
	<li>Create ice by spraying water vertically through gaps in the canopy. Make sure the water extends above the height of the canopy so that it is deposited vertically and freezes on contact with sub-freezing surfaces. Avoid stripping branches and bark from trees as water is sprayed upwards.</li>
	<li>Evenly distribute spray over the forest canopy by slowly driving the UTV back-and-forth along the edge of the application area. If free-standing monitors are used, move these manually to ensure that the coverage is even.</li>
	<li>Keep track of the timing of the application to help determine factors such as the weather conditions during application and the volume of water sprayed.</li>
</ol>
6. Measure ice accretion
<ol>
	<li>Make ground-based caliper measurements of radial ice thickness on lower-level branches or twigs near the edge of the application area to monitor ice accretion during application and determine when the target thickness has been attained.</li>
	<li>Obtain more accurate estimates of ice accretion with passive ice collectors after the application (Figure 1).
	<ol>
		<li>Before the application, construct passive ice collectors with two dowels oriented on three cardinal axes30 to create collectors with six component arms.</li>
		<li>Cut 2.54 cm dowels at a length of 30 cm.</li>
		<li>Join the dowels with a 6-way steel connector.</li>
		<li>Use an arborist throw weight to string parachute cord over sturdy branches that can withstand the ice load.</li>
		<li>Attach the passive ice collectors to the cord and raise them up into the canopy.</li>
		<li>Once the application is completed, lower the collectors to the ground, being careful not to lose any ice from the collector.</li>
		<li>Make vertical and horizontal measurements of ice thickness with calipers at multiple locations on the collector (e.g., three vertical and three horizontal measurements at three locations along each arm) before and immediately after ice application.</li>
		<li>Calculate ice thickness on each collector as the difference between the measurements before and after the application.</li>
		<li>To determine ice thickness with the water volume method, use a reciprocating saw to cut each dowel.</li>
		<li>Bring the dowels to a heated building, place them in buckets, and let the ice melt off at room temperature.</li>
		<li>Measure the volume of meltwater with a graduated cylinder.</li>
		<li>Calculate ice thickness based on the water volume and density of ice31.</li>
	</ol>
	</li>
</ol>
7. Safety considerations
<ol>
	<li>Stay well outside of the ice treatment area during spraying because ice loads can cause branches and limbs to break and fall.</li>
	<li>Wear hard hats or helmets to provide protection while the ice is being applied and during any sampling that occurs in the treated area after the application.</li>
	<li>Use a monitor to stabilize the hose during spraying.</li>
	<li>Dress appropriately for hazardous conditions and sub-freezing weather. Wear bright, visible clothing. Be prepared to spend long periods in wet, cold conditions by wearing rain gear and layers of warm clothes. Bring multiple changes of clothes, especially for personnel who are designated to spray.</li>
	<li>If working in a remote location, set up a temporary warming tent equipped with a portable heater.</li>
	<li>Allow personnel to have adequate time for breaks, changing out of wet clothes, and addressing problems that arise with equipment, etc.</li>
	<li>Use radios to communicate among personnel during the experiment. Maintain contact with personnel at a base station.</li>
	<li>Develop a safety plan in case of medical emergencies. Have medical personnel (e.g., Emergency Medical Technicians) and emergency equipment and supplies on site during the experiment.</li>
</ol>

<ol><li>Zhou, B., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+Great+2008+Chinese+Ice+Storm%3A+Its+socioeconomic%E2%80%93ecological+impact+and+sustainability+lessons+learned%5BTitle%5D)+AND+%22Bulletin+of+the+American+Meteorological+Society%22%5BJournal%5D)">The Great 2008 Chinese Ice Storm: Its socioeconomic–ecological impact and sustainability lessons learned.</a> Bulletin of the American Meteorological Society. 92 (1), 47-60 (2011).</li>
<li>Call, D. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Changes+in+ice+storm+impacts+over+time%3A+1886-2000%5BTitle%5D)+AND+%22Weather%2C+Climate%2C+and+Society%22%5BJournal%5D)">Changes in ice storm impacts over time: 1886-2000.</a> Weather, Climate, and Society. 2 (1), 23-35 (2010).</li>
<li>Zarnani, A., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Learning+to+predict+ice+accretion+on+electric+power+lines%5BTitle%5D)+AND+%22Engineering+Applications+of+Artificial+Intelligence%22%5BJournal%5D)">Learning to predict ice accretion on electric power lines.</a> Engineering Applications of Artificial Intelligence. 25 (3), 609-617 (2012).</li>
<li>Smith, A. B., Katz, R. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((US+billion-dollar+weather+and+climate+disasters%3A+data+sources%2C+trends%2C+accuracy+and+biases%5BTitle%5D)+AND+%22Natural+Hazards%22%5BJournal%5D)">US billion-dollar weather and climate disasters: data sources, trends, accuracy and biases.</a> Natural Hazards. 67 (2), 387-410 (2013).</li>
<li>Lafon, C. W., Speer, J. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Using+dendrochronology+to+identify+major+ice+storm+events+in+oak+forests+of+southwestern+Virginia%5BTitle%5D)+AND+%22Climate+Research%22%5BJournal%5D)">Using dendrochronology to identify major ice storm events in oak forests of southwestern Virginia.</a> Climate Research. 20 (1), 41-54 (2002).</li>
<li>Smith, K. T., Shortle, W. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Radial+growth+of+hardwoods+following+the+1998+ice+storm+in+New+Hampshire+and+Maine%5BTitle%5D)+AND+%22Canadian+Journal+of+Forest+Research%22%5BJournal%5D)">Radial growth of hardwoods following the 1998 ice storm in New Hampshire and Maine.</a> Canadian Journal of Forest Research. 33 (2), 325-329 (2003).</li>
<li>Duguay, S. M., Arii, K., Hooper, M., Lechowicz, M. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Ice+storm+damage+and+early+recovery+in+an+old-growth+forest%5BTitle%5D)+AND+%22Environmental+Monitoring+and+Assessment%22%5BJournal%5D)">Ice storm damage and early recovery in an old-growth forest.</a> Environmental Monitoring and Assessment. 67 (1), 97-108 (2001).</li>
<li>Irland, L. C. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Ice+storms+and+forest+impacts%5BTitle%5D)+AND+%22The+Science+of+the+Total+Environment%22%5BJournal%5D)">Ice storms and forest impacts.</a> The Science of the Total Environment. 262 (3), 231-242 (2000).</li>
<li>Dale, V. H., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Climate+change+and+forest+disturbances%5BTitle%5D)+AND+%22BioScience%22%5BJournal%5D)">Climate change and forest disturbances.</a> BioScience. 51 (9), 723-734 (2001).</li>
<li>de Groot, M., Ogris, N., Kobler, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((The+effects+of+a+large-scale+ice+storm+event+on+the+drivers+of+bark+beetle+outbreaks+and+associated+management+practices%5BTitle%5D)+AND+%22Forest+Ecology+and+Management%22%5BJournal%5D)">The effects of a large-scale ice storm event on the drivers of bark beetle outbreaks and associated management practices.</a> Forest Ecology and Management. 408, 195-201 (2018).</li>
<li>Faccio, S. D. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Effects+of+ice+storm-created+gaps+on+forest+breeding+bird+communities+in+central+Vermont%5BTitle%5D)+AND+%22Forest+Ecology+and+Management%22%5BJournal%5D)">Effects of ice storm-created gaps on forest breeding bird communities in central Vermont.</a> Forest Ecology and Management. 186 (1), 133-145 (2003).</li>
<li>Degelia, S. K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((An+overview+of+ice+storms+and+their+impact+in+the+United+States%5BTitle%5D)+AND+%22International+Journal+of+Climatology%22%5BJournal%5D)">An overview of ice storms and their impact in the United States.</a> International Journal of Climatology. 36 (8), 2811-2822 (2016).</li>
<li>Rauber, R. M., Olthoff, L. S., Ramamurthy, M. K., Miller, D., Kunkel, K. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+synoptic+weather+pattern+and+sounding-based+climatology+of+freezing+precipitation+in+the+United+States+east+of+the+Rocky+Mountains%5BTitle%5D)+AND+%22Journal+of+Applied+Meteorology%22%5BJournal%5D)">A synoptic weather pattern and sounding-based climatology of freezing precipitation in the United States east of the Rocky Mountains.</a> Journal of Applied Meteorology. 40 (10), 1724-1747 (2001).</li>
<li>Bell, G. D., Bosart, L. F. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Appalachian+cold-air+damming%5BTitle%5D)+AND+%22Monthly+Weather+Review%22%5BJournal%5D)">Appalachian cold-air damming.</a> Monthly Weather Review. 116 (1), 137-161 (1988).</li>
<li>Rackley, J. A., Knox, J. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+climatology+of+southern+Appalachian+cold-air+damming%5BTitle%5D)+AND+%22Weather+and+Forecasting%22%5BJournal%5D)">A climatology of southern Appalachian cold-air damming.</a> Weather and Forecasting. 31 (2), 419-432 (2015).</li>
<li>Cortinas, J. V., Bernstein, B. C., Robbins, C. C., Strapp, J. W. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((An+analysis+of+freezing+rain%2C+freezing+drizzle%2C+and+ice+pellets+across+the+United+States+and+Canada%3A+1976-90%5BTitle%5D)+AND+%22Weather+and+Forecasting%22%5BJournal%5D)">An analysis of freezing rain, freezing drizzle, and ice pellets across the United States and Canada: 1976-90.</a> Weather and Forecasting. 19 (2), 377-390 (2004).</li>
<li>Changnon, S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Characteristics+of+ice+storms+in+the+United+States%5BTitle%5D)+AND+%22Journal+of+Applied+Meteorology%22%5BJournal%5D)">Characteristics of ice storms in the United States.</a> Journal of Applied Meteorology. 42 (5), 630-639 (2003).</li>
<li>Jones, K., Thorkildson, R., Lott, N. The development of a U.S. climatology of extreme ice loads. Technical Report 2002-01. <a target="_blank" href="http://scholar.google.com/scholar?hl=en&safe=off&q=author%3aJones%2C+K+%22National+Climatic+Data+Center%22">National Climatic Data Center</a>. , Asheville, NC. 23(2002).</li>
<li>Kovacik, C., Kloesel, K. Changes in ice storm frequency across the United States. Southern Climate Impacts Planning Program. , Available from: 
 <a target="_blank" href="http://www.southernclimate.org/documents/Ice_Storm_Frequency.pdf">http://www.southernclimate.org/documents/Ice_Storm_Frequency.pdf</a> (2014).</li>
<li>Groisman, P. Y., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Recent+changes+in+the+frequency+of+freezing+precipitation+in+North+America+and+Northern+Eurasia%5BTitle%5D)+AND+%22Environmental+Research+Letters%22%5BJournal%5D)">Recent changes in the frequency of freezing precipitation in North America and Northern Eurasia.</a> Environmental Research Letters. 11 (4), 045007(2016).</li>
<li>Klima, K., Morgan, M. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Ice+storm+frequencies+in+a+warmer+climate%5BTitle%5D)+AND+%22Climatic+Change%22%5BJournal%5D)">Ice storm frequencies in a warmer climate.</a> Climatic Change. 133 (2), 209-222 (2015).</li>
<li>Cheng, C., Auld, H., Li, G., Klaassen, J., Li, Q. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Possible+impacts+of+climate+change+on+freezing+rain+in+south-central+Canada+using+downscaled+future+climate+scenarios%5BTitle%5D)+AND+%22Natural+Hazards+and+Earth+Systems+Sciences%22%5BJournal%5D)">Possible impacts of climate change on freezing rain in south-central Canada using downscaled future climate scenarios.</a> Natural Hazards and Earth Systems Sciences. 7 (1), 71-87 (2007).</li>
<li>Cheng, C. S., Li, G., Auld, H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Possible+impacts+of+climate+change+on+freezing+rain+using+downscaled+future+climate+ccenarios%3A+Updated+for+eastern+Canada%5BTitle%5D)+AND+%22Atmosphere-Ocean%22%5BJournal%5D)">Possible impacts of climate change on freezing rain using downscaled future climate ccenarios: Updated for eastern Canada.</a> Atmosphere-Ocean. 49 (1), 8-21 (2011).</li>
<li>Kunkel, K. E., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Monitoring+and+understanding+trends+in+extreme+storms%3A+State+of+knowledge%5BTitle%5D)+AND+%22Bulletin+of+the+American+Meteorological+Society%22%5BJournal%5D)">Monitoring and understanding trends in extreme storms: State of knowledge.</a> Bulletin of the American Meteorological Society. 94 (4), 499-514 (2013).</li>
<li>Dipesh, K. C., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Effects+of+simulated+ice+storm+damage+on+midrotation+loblolly+pine+stands%5BTitle%5D)+AND+%22Forest+Science%22%5BJournal%5D)">Effects of simulated ice storm damage on midrotation loblolly pine stands.</a> Forest Science. 61 (4), 774-779 (2015).</li>
<li>Collins, B. S., Pickett, S. T. A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Demographic+responses+of+herb+layer+species+to+experimental+canopy+gaps+in+a+northern+hardwoods+forest%5BTitle%5D)+AND+%22Journal+of+Ecology%22%5BJournal%5D)">Demographic responses of herb layer species to experimental canopy gaps in a northern hardwoods forest.</a> Journal of Ecology. 76 (2), 437-450 (1988).</li>
<li>Yorks, T. E., Leopold, D. J., Raynal, D. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Effects+of+Tsuga+canadensis+mortality+on+soil+water+chemistry+and+understory+vegetation%3A+possible+consequences+of+an+invasive+insect+herbivore%5BTitle%5D)+AND+%22Canadian+Journal+of+Forest+Research%22%5BJournal%5D)">Effects of Tsuga canadensis mortality on soil water chemistry and understory vegetation: possible consequences of an invasive insect herbivore.</a> Canadian Journal of Forest Research. 33 (8), 1525-1537 (2003).</li>
<li>Zimmerman, J. K., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Seven-year+responses+of+trees+to+experimental+hurricane+effects+in+a+tropical+rainforest%2C+Puerto+Rico%5BTitle%5D)+AND+%22Forest+Ecology+and+Management%22%5BJournal%5D)">Seven-year responses of trees to experimental hurricane effects in a tropical rainforest, Puerto Rico.</a> Forest Ecology and Management. 332, 64-74 (2014).</li>
<li>Cooper-Ellis, S., Foster, D. R., Carlton, G., Lezberg, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Forest+response+to+catastrophic+wind%3A+Rusults+from+an+experimental+hurricane%5BTitle%5D)+AND+%22Ecology%22%5BJournal%5D)">Forest response to catastrophic wind: Rusults from an experimental hurricane.</a> Ecology. 80 (8), 2683-2696 (1999).</li>
<li>Rustad, L. E., Campbell, J. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+novel+ice+storm+manipulation+experiment+in+a+northern+hardwood+forest%5BTitle%5D)+AND+%22Canadian+Journal+of+Forest+Research%22%5BJournal%5D)">A novel ice storm manipulation experiment in a northern hardwood forest.</a> Canadian Journal of Forest Research. 42 (10), 1810-1818 (2012).</li>
<li>Jones, K. F., Mulherin, N. D. An evaluation of the severity of the January 1998 ice storm in northern New England. <a target="_blank" href="http://scholar.google.com/scholar?hl=en&safe=off&q=author%3aJones%2C+KF+%22U.S.+Army+Cold+Regions+Research+and+Engineering+Laboratory%2C+Snow+and+Ice+Division%22">U.S. Army Cold Regions Research and Engineering Laboratory, Snow and Ice Division</a>. , Hanover, NH. 66(1998).</li>
<li>Rhoads, A. G., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Effects+of+an+intense+ice+storm+on+the+structure+of+a+northern+hardwood+forest%5BTitle%5D)+AND+%22Canadian+Journal+of+Forest+Research%22%5BJournal%5D)">Effects of an intense ice storm on the structure of a northern hardwood forest.</a> Canadian Journal of Forest Research. 32 (10), 1763-1775 (2002).</li>
<li>James, F. C., Shugart, H. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+quantitative+method+of+habitat+description%5BTitle%5D)+AND+%22Audubon+Field+Notes%22%5BJournal%5D)">A quantitative method of habitat description.</a> Audubon Field Notes. 24 (6), 727-736 (1970).</li>
<li>Lemmon, P. E. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((A+spherical+densiometer+for+estimating+forest+overstory+density%5BTitle%5D)+AND+%22Forest+Science%22%5BJournal%5D)">A spherical densiometer for estimating forest overstory density.</a> Forest Science. 2 (4), 314-320 (1956).</li>
<li>Korhonen, L., Korhonen, K., Rautiainen, M., Stenberg, P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Estimation+of+forest+canopy+cover%3A+a+comparison+of+field+measurement+techniques%5BTitle%5D)+AND+%22Silva+Fennica%22%5BJournal%5D)">Estimation of forest canopy cover: a comparison of field measurement techniques.</a> Silva Fennica. 40 (4), 577-588 (2006).</li>
<li>Fiala, A. C. S., Garman, S. L., Gray, A. N. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Comparison+of+five+canopy+cover+estimation+techniques+in+the+western+Oregon+Cascades%5BTitle%5D)+AND+%22Forest+Ecology+and+Management%22%5BJournal%5D)">Comparison of five canopy cover estimation techniques in the western Oregon Cascades.</a> Forest Ecology and Management. 232 (1), 188-197 (2006).</li>
<li>Fahey, R. T., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Effects+of+an+experimental+ice+storm+on+forest+canopy+structure%5BTitle%5D)+AND+%22Canadian+Journal+of+Forest+Research%22%5BJournal%5D)">Effects of an experimental ice storm on forest canopy structure.</a> Canadian Journal of Forest Research. 50 (2), 136-145 (2020).</li>
<li>Weitzman, J. N., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Ecosystem+nitrogen+response+to+a+simulated+ice+storm+in+a+northern+hardwood+forest%5BTitle%5D)+AND+%22Ecosystems%22%5BJournal%5D)">Ecosystem nitrogen response to a simulated ice storm in a northern hardwood forest.</a> Ecosystems. , (2020).</li>
<li>Houlton, B. Z., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Nitrogen+dynamics+in+ice+storm-damaged+forest+ecosystems%3A+implications+for+nitrogen+limitation+theory%5BTitle%5D)+AND+%22Ecosystems%22%5BJournal%5D)">Nitrogen dynamics in ice storm-damaged forest ecosystems: implications for nitrogen limitation theory.</a> Ecosystems. 6 (5), 431-443 (2003).</li>
<li>Groffman, P. M., et al. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/pubmed?term=((Nitrogen+oligotrophication+in+northern+hardwood+forests%5BTitle%5D)+AND+%22Biogeochemistry%22%5BJournal%5D)">Nitrogen oligotrophication in northern hardwood forests.</a> Biogeochemistry. 141 (3), 523-539 (2018).</li>
</ol>

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It is critical to perform experimental simulations of ice storms under appropriate weather conditions to ensure their success. In a previous study30, we found that the optimal conditions for spraying are when air temperatures are below -4 &#176;C and wind speeds are less than 5 m/s. Natural ice storms most commonly occur when air temperatures are slightly less than freezing (-1 to 0 &#176;C), and although the ideal temperatures for ice storm simulations are colder, they are still within the temper...

Ice storms are an important natural disturbance that can have both short- and long-term impacts on the environment and society. Intense ice storms are problematic because they damage trees and crops, disrupt utilities, and impair roads and other infrastructure1,2. The hazardous conditions that ice storms create can cause accidents resulting in injuries and fatalities2. Ice storms are costly; financial losses average $313 million per year in the United States (US)3, with some individual storms exceeding $1 billion4. In forest ecosystems, ice storms can have negative consequences including reduced growth and tree mortality5,6,7, increased risk of fire, and proliferation of pests and pathogens8,9,10. They can also have positive effects on forests, such as enhanced growth of surviving trees5 and increased biodiversity11. Improving our ability to predict impacts from ice storms will enable us to better prepare for and respond to these events.
Ice storms occur when a layer of moist air, that is above freezing, overrides a layer of subfreezing air closer to the ground. Rain falling from the warmer layer of air supercools as it passes through the cold layer, forming glaze ice when deposited on sub-freezing surfaces. In the US, this thermal stratification can result from synoptic weather patterns that are characteristic of specific regions12,13. Freezing rain is most commonly caused by Arctic fronts that move southeastward across the US ahead of strong anticyclones13. In some regions, topography contributes to the atmospheric conditions necessary for ice storms through cold air damming, a meteorological phenomenon that occurs when warm air from an incoming storm overrides cold air that becomes entrenched alongside a mountain range14,15.
In the US, ice storms are most common in the &#8220;ice belt&#8221; that extends from Maine to western Texas16,17. Ice storms also occur in a relatively small region of the Pacific Northwest, especially around the Columbia River Basin of Washington and Oregon. Much of the US experiences at least some freezing rain, with the greatest amounts in the Northeast where the most ice prone areas have a median of seven or more freezing rain days (days during which at least one hourly observation of freezing rain occurred) annually16. Many of these storms are relatively minor, although more intense ice storms do occur, albeit with much longer recurrence intervals. For example, in New England, the range in radial ice thickness is 19 to 32 mm for storms with a 50-year recurrence interval18. Empirical evidence indicates that ice storms are becoming more frequent at northern latitudes and less frequent to the south19,20,21. This trend is expected to continue based on computer simulations using future climate change projections22,23. However, the lack of data and physical understanding make it more difficult to detect and project trends in ice storms than other types of extreme events24.
Since major ice storms are relatively rare, they are challenging to study. It is difficult to predict when and where they will occur, and it is generally impractical to &#8220;chase&#8221; storms for research purposes. Consequently, most ice storm studies have been unplanned post hoc assessments occurring in the wake of major storms. This research approach is not ideal because of the inability to collect baseline data before a storm. Additionally, it can be difficult to find unaffected areas for comparison with damaged areas when ice storms cover a large geographic extent. Rather than waiting for natural storms to occur, experimental approaches may offer advantages because they enable close control over the timing and intensity of icing events and allow for appropriate reference conditions to clearly evaluate effects.
Experimental approaches also pose challenges, especially in forested ecosystems. The height and width of trees and the canopy makes them difficult to experimentally manipulate, as compared to lower-stature grasslands or shrublands. Additionally, disturbance from ice storms is diffuse, both vertically through the forest canopy and across the landscape, which is difficult to simulate. We know of only one other study that attempted to simulate ice storm impacts in a forest ecosystem25. In this case, a rifle was used to remove up to 52% of the crown in a loblolly pine stand in Oklahoma. Although this method produced results that are characteristic of ice storms, it is not effective at removing larger branches and does not cause the trees to bend over, which is common with natural ice storms. While no other experimental methods have been used to study ice storms specifically, there are some parallels between our approach and other types of forest disturbance manipulations. For example, gap dynamics have been studied by felling individual trees26, forest pest invasions by girdling trees27, and hurricanes by pruning28 or pulling down whole trees with a winch and cable29. Of these approaches, pruning most closely imitates ice storm impacts but is labor intensive and costly. The other approaches cause mortality of whole trees, rather than the partial breakage of limbs and branches that is typical of natural ice storms.
The protocol described in this paper is useful for closely mimicking natural ice storms and involves spraying water over the forest canopy during sub-freezing conditions to simulate glaze ice events. The method offers advantages over other means because the damage can be distributed relatively evenly throughout forests over a large area with less effort than pruning or downing whole trees. Additionally, the amount of ice accretion can be regulated through the volume of water applied and by selecting a time to spray when weather conditions are conducive for optimal ice formation. This novel and relatively inexpensive experimental approach enables control over the intensity and frequency of icing, which is essential for identifying critical ecological thresholds in forest ecosystems.

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simulating impacts of ice storms on forest ecosystems

Simulating Impacts of Ice Storms on Forest Ecosystems

Ice storms can have profound and lasting effects on the structure and function of forest ecosystems in regions that experience freezing conditions. Current models suggest that the frequency and intensity of ice storms could increase over the coming decades in response to changes in climate, heightening interest in understanding their impacts. Because of the stochastic nature of ice storms and difficulties in predicting when and where they will occur, most past investigations of the ecological effects of ice storms have been based on case studies following major storms. Since intense ice storms are exceedingly rare events it is impractical to study them by waiting for their natural occurrence. Here we present a novel alternative experimental approach, involving the simulation of glaze ice events on forest plots under field conditions. With this method, water is pumped from a stream or lake and sprayed above the forest canopy when air temperatures are below freezing. The water rains down and freezes upon contact with cold surfaces. As the ice accumulates on trees, the boles and branches bend and break; damage that can be quantified through comparisons with untreated reference stands. The experimental approach described is advantageous because it enables control over the timing and amount of ice applied. Creating ice storms of different frequency and intensity makes it possible to identify critical ecological thresholds necessary for predicting and preparing for ice storm impacts.

An ice storm simulation was performed in a 70‒100 year-old northern hardwood forest at the Hubbard Brook Experimental Forest in central New Hampshire (43° 56′ N, 71° 45′ W). The stand height is approximately 20 m and the dominant tree species in the area of the ice application are American beech (Fagus grandifolia), sugar maple (Acer saccharum), red maple (Acer rubrum) and yellow birch (Betula alleghaniensis). Ten 20 m x 30 m plots were established and randomly assigned a treatment. Mo...

Ice storms are important weather events that are challenging to study because of difficulties in predicting their occurrence. Here, we describe a novel method for simulating ice storms that involves spraying water over a forest canopy during sub-freezing conditions.

Ice storms can have profound and lasting effects on the structure and function of forest ecosystems in regions that experience freezing conditions. ...

simulating-impacts-of-ice-storms-on-forest-ecosystems

Research

JoVE Journal

Environment

Here we present a protocol that allows one to visualize sites of ice formation and avenues of ice propagation in plants utilizing high resolution infrared thermography (HRIT).

The Use of High-resolution Infrared Thermography (HRIT) for the Study of Ice Nucleation and Ice Propagation in Plants

It is common practice to assess the damage caused by Dryocosmus kuriphilus by considering the abundance of galls alone rather than by also taking related branch corruption into consideration. We propose a composite damage index that takes into account the most important branch features, thus enabling more realistic damage assessment.

Evaluating Dryocosmus Kuriphilus-induced Damage on Castanea Sativa

Mixed-effects models are flexible and useful tools for analyzing data with a hierarchical stochastic structure in forestry and could also be used to significantly improve the performance of forest growth models. Here, a protocol is presented that synthesizes information relating to linear mixed-effects models.

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Industrial wastes can be collected and modified to analyze microbial growth. Lignocellulose extraction techniques provide components to analyze specific biodegradation ability. Gas chromatography-mass spectrometry identifies fermentation products of microorganisms grown on pulping waste. These methods determine the metabolic capacity of microorganisms to degrade pulping waste.

Methods for Facilitating Microbial Growth on Pulp Mill Waste Streams and Characterization of the Biodegradation Potential of Cultured Microbes

Beech bark disease is initiated by feeding activities of the beech scale insect that create fungal entry points in the bark. Trees that are resistant to the scale insect are also disease resistant. Here we present the protocol we have developed to screen individual beech trees for beech scale resistance.

A Technique to Screen American Beech for Resistance to the Beech Scale Insect (Cryptococcus fagisuga Lind.)

Dissolved organic matter provides an important source of energy and nutrients to stream ecosystems. Here we demonstrate a field-based method to manipulate the ambient pool of dissolved organic matter in situ through easily replicable nutrient pulses.

Understanding Dissolved Organic Matter Biogeochemistry Through In Situ Nutrient Manipulations in Stream Ecosystems

Repeated soil sampling has recently been shown to be an effective way to monitor forest soil change over years and decades. To support its use, a protocol is presented that synthesizes the latest information on soil resampling methods to aid in the design and implementation of successful soil monitoring programs.

Methods of Soil Resampling to Monitor Changes in the Chemical Concentrations of Forest Soils

Here we present a methodology which matches a soil sample size and a hydraulic conductivity measurement device to prevent the so-called wall flow along the inside of the soil container from being erroneously included in water flow measurements. Its use is demonstrated with samples collected from a wastewater irrigation site.

Wastewater Irrigation Impacts on Soil Hydraulic Conductivity: Coupled Field Sampling and Laboratory Determination of Saturated Hydraulic Conductivity

We developed a low cost and small flight mill, constructed with commonly available items and easily used in experimentation. Using this apparatus, we measured the flight ability of an ambrosia beetle, Platypus quercivorus.

Measuring the Flight Ability of the Ambrosia Beetle, Platypus Quercivorus (Murayama), Using a Low-Cost, Small, and Easily Constructed Flight Mill

We report detailed procedures for compression experiments on rocks and mineral aggregates within a multi-anvil deformation apparatus coupled with synchrotron X-radiation. Such experiments allow quantification of the stress distribution within samples, that ultimately sheds light on compaction processes in geomaterials.

Stress Distribution During Cold Compression of Rocks and Mineral Aggregates Using Synchrotron-based X-Ray Diffraction

Discover a novel method for simulating ice storms by spraying water over forest canopies during sub-freezing conditions. This controlled approach enables researchers to study ecological impacts and infrastructure effects with precise timing and intensity control.

Simulating Impacts of Ice Storms on Forest Ecosystems

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