732 L. R. Walker et al.Table 2. Relative appropriateness <strong>of</strong> the chronosequence approach varies depend<strong>in</strong>g on (a) predictability and trajectory type (divergent orconvergent) and (b) plant biodiversity and disturbance impact (frequency plus severity). ++Very <strong>use</strong>ful, +<strong>use</strong>ful, )not <strong>use</strong>ful, ))potentiallymislead<strong>in</strong>gDivergentConvergentPlant <strong>succession</strong> Soil development Plant <strong>succession</strong> Soil development(a)Predictable + + ++ ++Unpredictable ) ) + +Low disturbanceHigh disturbancePlant <strong>succession</strong> Soil development Plant <strong>succession</strong> Soil development(b)High biodiversity ) + )) )Low biodiversity + + +* or )† +*Progressive <strong>succession</strong>.†Retrogressive <strong>succession</strong>.Table 3. Guidel<strong>in</strong>es for develop<strong>in</strong>g appropriate chronosequence <strong>studies</strong> <strong>in</strong> terms <strong>of</strong> the elements needed and potential limitations <strong>of</strong> <strong>studies</strong> whenthese elements are miss<strong>in</strong>gElements neededTwo or more stages (duration <strong>of</strong> time series depends onparameter <strong>of</strong> <strong>in</strong>terest)Multiple stand characteristics that vary across stagesAt least one <strong>in</strong>dependent verification <strong>of</strong> time seriesReplication with<strong>in</strong> stages (number and spac<strong>in</strong>g depends onspatial heterogeneity)Sampl<strong>in</strong>g <strong>in</strong>tervals with<strong>in</strong> life span <strong>of</strong> every dom<strong>in</strong>ant species<strong>of</strong> <strong>in</strong>terest or duration <strong>of</strong> process <strong>of</strong> <strong>in</strong>terestMultiple visits to study plotsSere-appropriate measurementsStandardized measurementsPotential limitations if element is miss<strong>in</strong>gChronosequence study <strong>of</strong> ecosystem parameters onlyReduced ability to <strong>in</strong>terpret temporal dynamicsFaulty assumptions about temporal l<strong>in</strong>kagesMisrepresentation <strong>of</strong> stage characteristicsMissed stages, <strong>in</strong>accurate trajectoriesMiss<strong>in</strong>g verification <strong>of</strong> short-term dynamicsFailure to record relevant changesLack <strong>of</strong> ability to extrapolate to other <strong>studies</strong>experiments performed along both the progressive and retrogressivestages <strong>of</strong> the Hawaiian chronosequence (Vito<strong>use</strong>k2004) have greatly enhanced our understand<strong>in</strong>g <strong>of</strong> how the relativeimportance <strong>of</strong> nitrogen and phosphorus limitation <strong>in</strong>fluencesecosystem development both above and below ground.Similarly, plant removal experiments along a 6000-year,fire-driven chronosequence <strong>in</strong> northern Sweden (Wardle &Zackrisson 2005; Gundale, Wardle & Nilsson <strong>in</strong> press) haveclarified the shift<strong>in</strong>g l<strong>in</strong>kages between plant community compositionand soil biogeochemical processes dur<strong>in</strong>g <strong>succession</strong>.Although few manipulative experiments have been performedacross <strong>succession</strong>al gradients, such <strong>studies</strong> <strong>of</strong>fer tremendouspotential for better understand<strong>in</strong>g the role <strong>of</strong> both biotic andabiotic factors <strong>in</strong> driv<strong>in</strong>g community and ecosystem changedur<strong>in</strong>g <strong>succession</strong>.<strong>The</strong> appropriate <strong>use</strong> <strong>of</strong> <strong>chronosequences</strong> relies on at leastfive site-specific issues that serve as limitations, if not addressed(Table 3). First, <strong>chronosequences</strong> are most <strong>use</strong>ful when thereis a clear pattern <strong>of</strong> temporal change between multiple stages.Secondly, there should be several l<strong>in</strong>es <strong>of</strong> evidence about thehistory <strong>of</strong> the site. For short-term <strong>chronosequences</strong>, such evidencemight <strong>in</strong>clude oral histories, tree r<strong>in</strong>gs or historical maps,whereas for long-term <strong>chronosequences</strong>, these data might<strong>in</strong>clude good geographical or stratigraphic dat<strong>in</strong>g or biological<strong>in</strong>dicators such as micro- and macro-fossils. If such <strong>in</strong>dependentverification <strong>of</strong> a time series is present, the chronosequenceapproach is more likely to be justified. Thirdly, locat<strong>in</strong>g replicateplots randomly with<strong>in</strong> each stage <strong>of</strong> the chronosequence(not just the progressive phase), when possible, can helpaddress the structure <strong>of</strong> the (non-age-related) variation amongÓ 2010 <strong>The</strong> Authors. Journal compilation Ó 2010 British Ecological Society, Journal <strong>of</strong> Ecology, 98, 725–736
Chronosequences, <strong>succession</strong> and soil development 733chronosequence stages. Fourthly, if there are previously establishedplots that can be relocated, then earlier measurementscan be repeated <strong>in</strong> order to observe directly any subsequentchanges and verify chronosequence assumptions (e.g. Clarkson1997). F<strong>in</strong>ally, site-specific measurements must be made torecord relevant changes, but if these measurements do notemploy standardized methodology, extrapolations can be difficultto extend to other <strong>studies</strong>.ConclusionsWe agree with recent concerns that the mis<strong>use</strong> <strong>of</strong> <strong>chronosequences</strong>can mislead ecologists, particularly <strong>in</strong> relation to understand<strong>in</strong>gvegetation <strong>succession</strong>al pathways (Johnson &Miyanishi 2008). However, we do not believe that these problemsare sufficiently universal or severe to <strong>in</strong>validate their <strong>use</strong>for address<strong>in</strong>g questions about certa<strong>in</strong> types <strong>of</strong> ecosystemchange. <strong>The</strong> judicious <strong>use</strong> <strong>of</strong> chronosequence <strong>studies</strong> has greatlyadvanced our understand<strong>in</strong>g <strong>of</strong> short-term vegetation changewhere temporal connections have been confirmed (Foster & Tilman2000; Me<strong>in</strong>ers, Cadenasso & Pickett 2007). Chronosequenceshave also significantly aided our understand<strong>in</strong>g <strong>of</strong>long-term landscape processes (Milner et al. 2007) and soildevelopment (Walker & Syers 1976) and associated functionalchanges <strong>in</strong> above-ground and below-ground processes andorganisms (Vito<strong>use</strong>k 2004; Wardle, Walker & Bardgett 2004;Bardgett et al. 2005), even when the plant <strong>succession</strong>al trajectoriesdo not exactly parallel changes <strong>in</strong> soil development. Chronosequencesare most suited for measur<strong>in</strong>g plant and soilcommunity characteristics that change <strong>in</strong> a relatively predictive,l<strong>in</strong>ear fashion over time, such as plant cover and species richness,pedogenesis, soil organic matter accumulation and rates<strong>of</strong> ecosystem processes, and least suited for those traits that aremore diff<strong>use</strong> and less predictable such as species compositionand abundance. Further, <strong>chronosequences</strong> work better forstudy<strong>in</strong>g <strong>succession</strong>al trajectories that are convergent, have lowdiversity and are <strong>in</strong>frequently disturbed than for trajectoriesthat are divergent, more diverse and frequently disturbed.F<strong>in</strong>ally, <strong>chronosequences</strong> can <strong>of</strong>ten provide <strong>in</strong>formation criticalto manipulat<strong>in</strong>g <strong>succession</strong>al processes for restoration, evenwhere there is an imperfect understand<strong>in</strong>g <strong>of</strong> the ecosystem(Hobbs, Walker & Walker 2007). We ma<strong>in</strong>ta<strong>in</strong> that whenappropriately applied, the chronosequence approach <strong>of</strong>fers<strong>in</strong>valuable <strong>in</strong>sights <strong>in</strong>to temporal dynamics <strong>of</strong> vegetationchange and soil development that cannot be achieved <strong>in</strong> anyother way and that wholesale dismissal <strong>of</strong> this approach is morelikely to impede than to stimulate understand<strong>in</strong>g <strong>of</strong> these topics.AcknowledgementsWe thank Roger del Moral, Duane Peltzer, Elizabeth Powell and particularlyChris Fastie for stimulat<strong>in</strong>g discussions about this topic and Peter Bell<strong>in</strong>gham,Roger del Moral, Joe Walker and several anonymous referees for <strong>in</strong>sightfulcomments on the manuscript. Figure 1 is modified from contributions by ChrisFastie. 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