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Groundcover Restoration in Forests of the Southeastern United States

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Chapter 2: Implement<strong>in</strong>g a <strong>Restoration</strong> Projectrestoration project, <strong>the</strong> true measure <strong>of</strong> restoration successis susta<strong>in</strong>ed production <strong>of</strong> <strong>the</strong> <strong>in</strong>troduced species (Gordon1994). For this reason, monitor<strong>in</strong>g over a short term is notnearly as tell<strong>in</strong>g as monitor<strong>in</strong>g over a longer term.Once your monitor<strong>in</strong>g protocol is <strong>in</strong> place, <strong>the</strong> next decision<strong>in</strong>volves development <strong>of</strong> a timeframe for monitor<strong>in</strong>g. Formany vegetation monitor<strong>in</strong>g protocols, <strong>the</strong> time <strong>of</strong> <strong>the</strong> yearwill <strong>in</strong>fluence which species are present and <strong>the</strong> percentcover that <strong>the</strong>y achieve. For this reason, most monitor<strong>in</strong>g isdone dur<strong>in</strong>g <strong>the</strong> grow<strong>in</strong>g season. In contrast, many rare or<strong>in</strong>vasive species are most easily identified when <strong>in</strong> flower orfruit, and monitor<strong>in</strong>g for <strong>the</strong>se species should be done at <strong>the</strong>time most conducive to <strong>the</strong>ir identification. In addition toseasonal affects, monitor<strong>in</strong>g should be repeated at <strong>in</strong>tervalsthat are useful to <strong>the</strong> restoration goals. For example, if seedshave just been <strong>in</strong>troduced to <strong>the</strong> site, monitor<strong>in</strong>g shouldoccur regularly at short <strong>in</strong>tervals if <strong>the</strong> goal is to determ<strong>in</strong>egerm<strong>in</strong>ation percentages. In contrast, when monitor<strong>in</strong>g <strong>the</strong>survival <strong>of</strong> outplant<strong>in</strong>gs, <strong>the</strong> first month will show <strong>the</strong> mostchange and <strong>the</strong>n bi-annual or yearly monitor<strong>in</strong>g shouldsuffice unless an unexpected climatic event (e.g., droughtor hurricane) has occurred or a restoration activity (e.g.,prescribed fire or herbicide) has been <strong>in</strong>troduced <strong>in</strong>to<strong>the</strong> site. In conclusion, <strong>the</strong> timel<strong>in</strong>e for monitor<strong>in</strong>g musttake <strong>in</strong>to account <strong>the</strong> biology <strong>of</strong> <strong>the</strong> species <strong>of</strong> <strong>in</strong>terest andmust ga<strong>the</strong>r <strong>the</strong> data needed to make <strong>in</strong>formed decisionsregard<strong>in</strong>g <strong>the</strong> need to change management strategies.F<strong>in</strong>ally, <strong>the</strong> goal <strong>of</strong> monitor<strong>in</strong>g is to be able to understandhow a restoration activity affects plant community presence,composition, and/or structure. When choos<strong>in</strong>g monitor<strong>in</strong>gprotocols, it is important to understand what types <strong>of</strong>data analysis will be necessary to make <strong>the</strong> data collectedunderstandable and useful. For species presence/absencedata this can be as simple as a list <strong>of</strong> native species foundor a graph <strong>of</strong> <strong>the</strong> number <strong>of</strong> native species through time.For quantitative data on density or cover, graphs <strong>of</strong> changesover time can be employed. If different restoration activitieshave been conducted with<strong>in</strong> <strong>the</strong> site, <strong>the</strong> responses amongplots can be compared statistically us<strong>in</strong>g a t-test or ANOVA.F<strong>in</strong>ally, when rare species are monitored or when hav<strong>in</strong>gpredictive power <strong>of</strong> <strong>the</strong> future health or status <strong>of</strong> populationsis <strong>of</strong> <strong>in</strong>terest, an analysis <strong>of</strong> demographic data us<strong>in</strong>g matrixmodels should be employed (Caswell 2006; Masch<strong>in</strong>ski andDuquesnel 2006).The Society <strong>of</strong> Ecological <strong>Restoration</strong> International (SER)developed a Primer that recommends 9 ecosystem attributesworthy <strong>of</strong> consideration when assess<strong>in</strong>g if restoration effortshave been successful (SER 2004). These attributes can belumped <strong>in</strong>to 3 categories: vegetative diversity, vegetativestructure, and ecological processes. Time <strong>in</strong>vested <strong>in</strong> carefulconsideration <strong>of</strong> exactly which <strong>of</strong> <strong>the</strong>se characteristics ismost appropriate for def<strong>in</strong><strong>in</strong>g success <strong>in</strong> a particular projectbefore work is <strong>in</strong>itiated will be time well spent.| 25 |

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