EcologicalIndicators54(2015)1–11
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Ecological Indicators
jou rn al h om ep a g e :w w w . e l s e v i e r . c o m / l o c a t e / e c o l i n d
Review
Assessing the ecological integrity of endorheic wetlands, with focus on Mediterranean temporary ponds
Maarten Van den Broeck
a,c,∗, Aline Waterkeyn
a,b, Laila Rhazi
c, Patrick Grillas
b, Luc Brendonck
aaLaboratoryofAquaticEcology,EvolutionandConservation,UniversityofLeuven,CharlesDeberiotstraat32,Leuven3000,Belgium
bTourduValatResearchCentreforMediterraneanWetlands,LeSambuc,Arles13200,France
cLaboratoiredeBotanique,MycologieetEnvironnement,UniversitéMohammedV,FacultédesSciencesdeRabat,4AvenueIbnBattouta,RabatBP1014, RP,Morocco
a r t i c l e i n f o
Articlehistory:
Received2October2014
Receivedinrevisedform6February2015 Accepted10February2015
Keywords:
Biologicalindicators Temporarywetlands Ecologicalassessment WFD
a b s t r a c t
EUcountriesarerequiredtoperformanassessmentofallfreshwaterhabitatslargerthan50haby2015 tomeettherequirementssetbytheWaterFrameworkDirective(2000).Toachievethis,anarrayof indicatorsandmultimetricindiceshasbeendevelopedtomonitorEuropeanwaters.Ingeneral,these indicatorsaredevelopedforlargewaterbodies,whiletheyarestilllargelylackingforsmallerwetlands.
Thisisincontrastwiththeconservationvalue,valuableecosystemservicesandtheoftenuniquebio- diversityofthesesystems,andthefactthatlikelarge(>50ha)wetlandstheyarealsocoveredbythe RamsarConvention.In(semi)aridregions,suchastheMediterraneanbasin,smallwaterbodiesareoften ofatemporarynature,areabundantandprovideanimportantsourceofwaterforthelocalpeople,their livestockandagriculture.Thequantityandqualityoftemporarywetlandsare,however,decreasingatan alarmingrateworldwide.Althoughsomemonitoringtechniqueswererecentlyproposed,thereisstill anurgentneedforaconsistentpolicyandauserfriendlysetofmonitoringtoolsfortemporarywetlands thatcanbeappliedindifferentregions.Inthefollowingreview,wepresentawholerangeofindicators usedtomonitordifferenttypesoffreshwaterhabitats,anddiscusshowsomeofthesemethodscould beappliedtotemporarywetlands.Finally,weformulatesomerecommendationsfortemporarywetland monitoringandconservation.
©2015ElsevierLtd.Allrightsreserved.
Contents
1. Introduction... 2
2. Overviewofsuitableindicators... 3
2.1. Abioticindicators... 3
2.2. Bioticindicators... 3
2.2.1. Vertebrates... 3
2.2.2. Macroinvertebrates... 3
2.2.3. Zooplankton... 6
2.2.4. Macrophytes... 6
2.2.5. Phytoplankton... 7
2.2.6. Multimetricindices(MMI)... 7
2.2.7. Modelingapproaches... 7
3. Discussion... 7
3.1. Temporalandspatialregionalvariabilityintemporaryponds... 7
∗Correspondingauthorat:KULeuven,DepartmentofBiology,CharlesDeberiotstraat32,Box2439,3000Leuven,Belgium.Tel.:+3216373750.
E-mailaddress:Maarten.VandenBroeck@bio.kuleuven.be(M.VandenBroeck).
http://dx.doi.org/10.1016/j.ecolind.2015.02.016 1470-160X/©2015ElsevierLtd.Allrightsreserved.
2 M.VandenBroecketal./EcologicalIndicators54(2015)1–11
3.2. Monitoringguidelinesfortemporarywetlands... 8
3.2.1. Dryphase... 8
3.2.2. Aquaticphase... 8
3.3. Concludingremarks... 9
Acknowledgments... 9
References... 9
1. Introduction
Wetlandsareoneofthemostbiologicallydiverseecosystemson earth(MitschandGosselink,2007).Theyusuallyhouseadiverse faunaandflora,includingmanyrareandthreatenedspecies(Keddy, 2010).Wetlandsalsoperformmanyimportantecosystemservices, includingwaterstorage,carbonsequestration,floodreduction,sed- imenttrappingandreducing theeffectsofpesticides andother typesofpollutionthroughfiltration(Costanzaetal.,1997;Joyce, 2012).Althoughwetlandsonlycover6%ofthetotallandsurface (NaimanandDécamps,1997),thevalueoftheseareasisestimated torangebetween49billionto3.4trillioneurosperyear,measured asthebudgetneedediftheseservicesweretobereplaced(Schuyt andBrander,2004).AccordingtotheRamsarConvention(Ramsar, 2013),wetlandsincludemarshes,peatlandandfens,ditches,lakes, ponds,lagoons,floodplains,estuariesand coastalzones(includ- ingcoralreefs)notdeeperthansixmeters(atlowtideincaseof tidalsystems).Theyarecharacterizedby:(i)awatersaturatedsoil, (ii)adifferentsoilcompositioncomparedtothesurroundingnon- wetlandareasand(iii)specificallyadaptedvegetationthattolerates highwaterlevelseitherpermanentlyortemporarily,dependingon thetypeofwetland(Maltbyetal.,2009).
Ingeneral,highpressureduetohumanpopulationgrowthoften resultsinthedisappearanceofnaturallandscapecomponents,such asnaturalwaterbodiesandriparianzones.Globally,awetlandloss of50%inthelast centuryiscommonlyreported(Finlaysonand D’cruz,2005), and differentmodelspredicta lossrangingfrom 11%to62%by2080forcoastalwetlands alone(Nicholls,2004).
Togetherwithintensifiedagriculture,anthropogenicpressurehas also led to diffuse pollution and eutrophication in freshwater ecosystems(Arheimeretal.,2005).Thislossanddegradationof wetlandsingeneralandtheirecosystemservicesisfurtheraccel- eratedbyclimatechangeandintroductions ofinvasive species.
Despite theurgent need of protection of wetlands, monitoring andconservationareoftenhamperedbysometimesinconsistent andcontradictoryinternationalagreementsandnationalpolicies (Turner et al., 2010), which makes their ecological assessment difficulttoachieve. Even thoughthe socio-economicvalue and ecologicalimportanceof wetlandsystemshaswidely (butonly recently)beenaccepted,particularlyinthesubtropics,norecovery hasyetbeenobserved(Prigentetal.,2012).
TheWaterFrameworkDirective(WFD)(Directive2000/60/EC) commitsEuropeanUnionmemberstatestoachievegoodqualita- tiveandquantitativestatusofall(groundandsurface)waterbodies by2015accordingtoasetofstandardcriteria.Inordertoassess thecurrentstatus ofEuropeansurfacewaters andmonitorany changesaftermanagementpracticesareimplemented,awidearray ofindicatorsweredeveloped,notonlybasedonstandardchemi- calparameters,butalsoonbiologicalcharacteristics,focusingon macrophytes,fish,phytoplanktonandbenthicmacroinvertebrates (Soliminietal.,2009).Manyindicatorshavebeendevelopedfor differenttypesofaquaticecosystemsrangingfromsmallstreams tolargelakesasreviewedinBirdandDay(2010)andBirketal.
(2012).However,theWFDmonitoringprogramsdonotincorpo- rateassessment techniquesfor temporarywetlands. Infact,the WFDcurrentlyexcludesmosttemporarysystems,sincemanyof themaresmallerthanthestatedsizethresholdof50ha.Onthe otherhand,theNatura2000NetworkandtheRamsarConvention
dohaveaspecialresolutionontemporarywetlands(Ruiz(2008) andRamsarResolutionVIII.33,respectively)thatsuggeststheneed formonitoringprogramsbasedonbiologicalindicatorstoprotect andmanagetemporarywetlands.
In arid and semi-arid regions, temporary waters are often very abundant and are an important water source (Brendonck andWilliams,2000;Williams,2006;Bouahimetal.,2011).They areusuallydefinedaswetlandsthatoccurinendorheic depres- sions,characterizedbyalternatingdryandwetphases,wherethe wetphase is sufficientlylongtoestablish thespecificsoil con- ditionsand floral and faunal communities of ephemeral ponds (Williams,2006).Theyoftenhousediverseplantandanimalcom- munities (Williams, 1997; Blaustein and Schwartz, 2001) and contributetremendouslytoregional(gamma)biodiversity(Gibbs, 2000;Nicoletetal.,2004;Williamsetal.,2004),sometimeseven morethanlargewaterbodies(Biggsetal.,2014).Theyoffer(tem- porary)housingtobothgeneral(opportunistic)speciesaswellas tounique(temporarypondspecific)speciesthatareadaptedto livingunder time stressand extremeenvironmentalconditions (Grillasetal.,2004).Unfortunately,temporarywetlandsareoften neglectedanddisappearatanalarmingrate,withpercentageloss duringthelastcenturyrangingfrom60%to97%indifferentparts oftheworld(BrendonckandWilliams,2000;Nicoletetal.,2004;
Rhazietal.,2012).Duetotheirsmallsizeandshallowness,these habitatsarepoorlybufferedandeasilydestructedordegradedby humanactivities,suchasurbanization,agricultureandpollution (Rhazietal.,2012).Additionally,climatechangeisexpectedtohave amuchgreaterimpactonthesesmallwatervolumescomparedto largerlakes(Parmesan,2006).Therefore,vigilantmonitoringand conservationofthesesystemsiscrucial.Ontheotherhand,climate changecouldalsoincreasethenumberofhabitatsbytransforming currentlyperennialsystemsintotemporaryones.
Mediterraneantemporarypondsareapeculiartypeoftempo- rarywetlands,whichmainlyoccuraroundtheMediterraneanbasin insouthernEuropeandNorth-Africa,butalsoinotherregionsexpe- riencingaMediterraneanclimate(i.e.mildandrainywinters,hot anddrysummers),suchasthesouthwesterncoastalregionofSouth Africa, South-WestAustralia, California and Chile(Grillas etal., 2010).TheMediterranean temporaryponds insouthern Europe areincludedas aEU PriorityHabitat undertheauspicesofthe HabitatsDirective(Naturacode3170,92/43/CEE,21May1992).
Thesepondsharborseveralrareorthreatenedspeciesofplants, amphibiansandinvertebrateslistedoninternationalconventions (HabitatsDirective,theBernConventionandtheIUCNRedList) (Grillasetal.,2004).TheRamsarConventionisalsoimplemented intheMediterraneanWetlandsStrategy,aimedat“stoppingand reversingthelossanddegradationofMediterraneanwetlandsas acontributiontotheconservationofbiodiversityandtosustain- abledevelopmentintheregion”(Ramsar,2013).However,lackof politicalrecognitionofsmallwaterbodiesasanentityandvitalpart ofthewaterenvironmentremainsunacceptablyhighthroughout Europe(Oertlietal.,2005b).Currently,effortsaremadetoempha- sizetheneedtoprotectandincludesmall(temporary)watersinthe WFD,suchasthe“workshopontheprotectionandmanagementof smallwaterbodies”whichtookplaceinNovember2013andwas organizedbytheEuropeanEnvironmentalBureau,inco-operation withtheEuropeanCommission,theLithuanianPresidencyandthe FreshwaterHabitatsTrust(Biggsetal.,2014).
M.VandenBroecketal./EcologicalIndicators54(2015)1–11 3
In this paper, we do not aim at presenting an exhaustive overviewofallexistingindicatorsforwetlandsthatarecurrently usedoravailable.Instead,weaimtocriticallyreview examples ofdifferentindicatorsthatweredevelopedtoassesstheecolog- icalqualityofendorheicwetlands ingeneralandevaluatetheir usefulness for temporary wetlands more specifically. Although theseindicatorscannotsimplybeextended,webelievethatthey are a good starting point. Using thorough ecological research, theyshouldthenbemodifiedandcalibratedtoberepresentative for temporaryaquaticsystems. We also reviewnovel indicator approachesbasedspecificallyontheecologyoftemporarywet- lands.
2. Overviewofsuitableindicators
Niemi and Mcdonald (2004) define ecological indicators as componentsof structural,compositional, and landscape related processesthatareusedtoquantifyhumanimpactonecosystems.
Theseindicatorsmaybeofachemical,physicalorbiologicalnature.
Sinceecologicalindicatorsareessentialcomponentsofthewetland ecosystem,understandingtheroletheyplayintheecosystemis vital(Innisetal.,2000).Bycorrelatinggroupsofbioticvariables, suchasspecies richnessand lifehistorytraits,withabioticfac- tors,suchashydrology,oxygenconcentration,salinity,nutrient andpollutantlevels,theindicatorvalueofsuchbioticfactorscanbe assessed.Traditionally,onlyabioticindicatorssuchaswaterchem- istrywereusedtoassessanthropogenicdisturbance.Lateron,biotic indicatorswerepreferredsincetheyintegrateoverallwaterand habitatqualityandthereforedocumenthowepisodicandcumu- lativedisturbancesimpacttheecologicalintegrityofanecosystem (Burtonetal.,1999).Nowadays,modernstatisticalapproachesare usedtoconstructindicatorsfordifferenttypesofhabitats.Such a statistical approach is based oncalculating distance matrices (e.g.Bray–Curtisdistances,Euclidiandistances)from(a)bioticvari- ablesbetweensamplingsites.Then,byusingManteltests(Mantel, 1967)orothermatrixcorrelationtests,communityconcordance canbeassessedbetweenthesematrices,asdescribedbyforexam- plePadialetal.(2012),toprovideinformationonhowcommunities arecorrelatedwiththemeasuredenvironmentalvariables.
Morethan75studieswerereviewedtoselectindicatorsofvar- iousfreshwaterhabitats.Table1summarizesdifferentindicator groups,includingsomespecificexamples,theiradvantages and disadvantages,andindicatesforwhichtypeofhabitatandanthro- pogenicdisturbance/pressuretheywereoriginallydeveloped.
2.1. Abioticindicators
Abioticindicatorsarespecificsoilorwaterconditionsthatcan beusedtoquantifythelevelofanthropogenicdisturbanceimpact- ingthewetlandecosystem.Theycanbedividedintophysicaland chemicalindicators.Mostphysicalindicators(e.g.soilgranulom- etry,%of organicmatterandsediment redox potential)canbe impactedbylanduseandchangesinthehydrologyofthesystem suchasdrainage.Hydrologicalchangeshaveanimpactonthedura- tionofflooding,maximumdepthandnumberoffloodingevents peryearoftemporarywetlands.Chemicalindicators(e.g.pH,con- centrationsofions,dissolvedgases,pollutantsandnutrients)are potentiallyusefulfordetectingandquantifyingthelevelofenvi- ronmentalstressimpactingtheecosystem(Feldetal.,2009).For example,measuringthenutrientconcentrations(e.g.totalnitrogen (tN),totalphosphorus(tP),ammonium(NH4+),orthophosphates (PO43−)andnitrates/nitrites(NOx−))inthesoilorwatercolumn cangiveanindicationofthelevelofeutrophication,whilethecon- centrationofionsmayreflectsecondarysalinizationandpHvalues giveanideaofthelevelofacidification.Specificallyforwetlands
andshallowlakeswithfluctuatingwaterlevels,thecorrectproduc- tivityassessmentisimportantfordistinguishingbetweennatural andanthropogeniceutrophication(Elkiathietal.,2013).Forexam- ple,Golterman(2004)describedaccurateP-fractionationmethods tomeasuretheP-bindingcapacityofwetlandsedimentsasanesti- mationofeutrophication(asthisrepresentstheP-bioavailability forprimaryproducers).Toassessthedegreeoforganicpollution, chemicalandbiologicaloxygendemand(CODandBOD)testscan beusedsincetheyareanindirectmeasureoftheamountoforganic componentsthatcanbebrokendown(i.e.oxidized,biologicallyor chemically)byaerobicorganismsinthewatercolumn(Kadlecand Wallace,2008).
2.2. Bioticindicators
Biotic indicators or bio-indicators can involve single indi- cator species or entire assemblages/communities whose pres- ence/absence, abundance or diversity patterns can provide information about ecological changes and health of a system (AngermeierandDavideanu,2004;CousinsandLindborg,2004).
Animalindicatorsforaquaticsystemsmainlyfocusonmacroin- vertebrates,since theyarewellstudiedandhave a widespread distribution (Resh, 2008). Many bio-indicators are also based on macrophytes and phytoplankton (Resh, 2008; Bornette and Puijalon,2011).Below,weevaluatethesuitabilityofdifferentani- malandplantgroupsthatarepresentintemporarypondsasbiotic indicatorsForeachgroup,thisassessmentisfollowedbyapresen- tationofsomespecificexamples(seealsoTable1),makinguseof speciescomposition,communitystructureanddiversityofassem- blages/communities,oronfunctionaltraitsofselectedspecies.
2.2.1. Vertebrates
Althoughfisharethemostcommonvertebrategroupusedas biotic indicators in aquatic environments (e.g. indices of biotic integrity,physiological/behavioraltraits,etc.(AdamusandBrandt, 1990)),theyarelackingin mosttemporarywatersandwillnot furtherbediscussed.Similarformammals,althoughrelativelysim- plytoidentify,theirpresenceishighlyvariableandisaffectedby migration(CroonquistandBrooks,1991).Foramphibians,arela- tivelyeasywayofquantifyingtheirabundances(especiallyAnura) hasbeendevelopedviatheircallintensity,asusedintheWiscon- sinIndex(WI)(Balcombeetal.,2005;Paloskietal.,2014).Although itisnotalwayspossibletoquantifyexactnumbersofindividuals, thismethodischeap,relativelyfastandnon-invasive.Rarestud- ieswithwaterfowlhaveshownsomepotentialfortheiruseasa bioindicator,withcontrastingbirdcommunitiesinpristinehabi- tatscomparedtoheavilyimpactedhabitats,bothonalocaland regionalscale(AmatandGreen,2010).Birdspeciescomposition anddiversityingeneralcanthereforemainlyactasanindicatorof landusealteration,habitatfragmentation,andotherhumaninflu- ences.Whilewaterfowlcaneasilybeidentified,haveahighsocietal valueandawell-knownlifehistory,theyarehighlymobileandare oftenmoreaffectedbyhabitatcharacteristics(e.g.watersurface, vegetation)andseasonthanbywaterquality.
2.2.2. Macroinvertebrates
Macroinvertebratesarethemostcommonlyusedorganismsas aquaticbioindicatorsbecauseoftheirwell-knownlifehistoryand ecology(RosenbergandResh,1993;Innisetal.,2000).Abundance andcompositionofmacroinvertebrateshavebeenusedvariablyto developsometimescountryspecificbiotic indices.Invertebrates areusually highlyadaptedtoa particularenvironment, making themsusceptibletostressorssuchaslackofoxygenorhighsalinity (Keddy,2010),andarethereforeintegratedintheWFD(ascompo- sitionandabundanceofbenthicinvertebrates).Oertlietal.(2005a) developedarelativelycost-efficientmethodforassessingthestatus
4M.VandenBroecketal./EcologicalIndicators54(2015)1–11
Table1
Overviewofindicatorsusedforsurfacewatermonitoring,withemphasisonlenticwetlandsystems.Thedifferentindicatorgroupsarepresentedwithsomespecificexamples,alsomentioningtheirindicatorvalueforthewetland typeforwhichtheyweredeveloped,theiradvantagesanddisadvantagesandtherespectivereference(s).Bioticintegrity:definesthegeneralstateoftheecosystemfunctioning.
Indicatorgroup Indicator Indicativeof Wetlandtype Advantages Disadvantages References
Abioticindicators Concentrationsof nutrientsandions
-Eutrophication -Salinization -Acidification
Allwetlands Easytomeasure Snapshotofcurrentstate Yangetal.(2008)
COD/BOD Organicpollution Allwetlands CODfasterthanBOD CODnodifferentiation
betweenbiological active/inactivesubstances
KadlecandWallace(2008)
Sediment P-bindingcapacity
Eutrophication Allwetlands Highsensitivityandaccuracy towardsotherP-fractionation methods
Golterman(2004)
Vertebrates WisconsinIndex (WI),frogcall intensity
Bioticintegrity Allwetlands -Cheapandrelativelyfast Non-invasive
-OnlyforAnura -Notalwayspossibleto estimateabsolutenumbers
Paloskietal.(2014)
Diversityof waterfowl
-Landcoveralteration -Habitatfragmentation
Allwetlands -Highsocietalvalue -Well-knownlifehistoryand identification
-Moreaffectedbysiteand seasonthanbywaterquality -Mobilityandmigrations
BeckandHatch(2009)
Macroinvertebrates PLOCH -Eutrophication -Organicpollution
Ponds Relativelyeconomical Oertlietal.(2005a)
Diversityofhigher taxaofColeoptera
Bioticintegrity Mediterranean
ponds
-Fast
-Nodetailedidentification needed
Sánchez-Fernándezetal.
(2006)
MIdiversity -Humandisturbance -Phosphorousconcentration -Pesticides
-Eutrophication
Mediterranean ponds
Lessdetailedidentification required(genuslevel)
Interannualvariationnot considered
Trigaletal.(2007,2009)
Coleoptera diversity
-Magnesiumconcentration -Conductivity
-Turbidity
Temporary wetlands
-Cheap Limitedperiodperyearwhere
samplingcanoccur
Gutiérrez-Estradaand Bilton(2010)
Zooplankton ACCO(aspartof QAELS)
-Nutrientinput -Salinity -Organicpollution
Mediterranean wetlands
-Occuringreatnumbers -Easilycaptured -Highsensitivitytowards disturbances
-Knowninteractionswith macrophytesand phytoplankton-Limited mobility
-Lowperceivedsocietalvalue -Seasonal/dailyfluctuations -Difficultidentification
Boixetal.(2005)
-Hatchingofeggs -Diversityof unhatchedeggs
Physicalandchemical disturbances
Temporaryand permanent wetlands
-Easyandcostefficient sampling,possibleduring wholeyear
-Deeperlayerswitheggs availabletoreflectpast changes
Difficultieswithdetermining diversityofeggs
(hatching/identification)
AngelerandGarcía(2005), Vandekerkhoveetal.
(2005)
Macrophytes WMI Eutrophication
Organicpollution
Lakes -Immobile
-Wellknownidentification andlifehistory
-Susceptibletostress
-Sometimeslongrecovery timeafterdisturbance -Variablesuccessionpatterns
BornetteandPuijalon (2011),Croftand Chow-Fraser(2007)
Multispectral remotesensing
Physicalandchemical disturbances
Allwetlands Largeareasatonce Reflectionsfromdifferent vegetationspeciesaredifficult todistinguish
Adametal.(2010)
M.VandenBroecketal./EcologicalIndicators54(2015)1–115 Table1(Continued)
Indicatorgroup Indicator Indicativeof Wetlandtype Advantages Disadvantages References
Phytoplankton DIWC -Pesticides
-Sedimentation -Habitatalteration
-Marshes -Estuaries
-Longhistoryofuse -Cosmopolitandistribution -Lowsamplingeffort
Lowperceivedsocialvalue Resh(2008)
Multimetric indices(MMI)
TrophicStateIndex (TSI)
Eutrophication Lakes -Relativelyeasytomeasure
-Canbeappliedforwhole rangeofstandingwaters
Snapshotofcurrentstate Carlson(1977)
QAELS -Nutrientinput
-Salinity -Organicpollution
Mediterranean wetlands
SeeACCO SeeACCO Boixetal.(2005)
WZI BioticIntegrity Lakes -Occuringreatnumbers
-Easilycaptured -Highsensitivitytowards disturbances
-Knowninteractionswith macrophytesand phytoplankton-Limited mobility
-Lowperceivedsocietalvalue -Seasonal/dailyfluctuations -Difficultidentification
LougheedandChow-Fraser (2002)
MMIformacroin- vertebrates
Eutrophication Arableditches -Lifehistoriesandecology oftenwellunderstood -Oftenspecializedand sensitivetowardsdisturbances -Widespreadandabundant -Limitedmobility
-Lowperceivedsocietalvalue -Communitiesmaybe predatedselectivelybybirdsor fish
Verdonschotetal.(2012)
PSYM Bioticintegrity Pondsand
canals
-Rapidassessment -Nodetailedidentification neededformacroinvertebrates
OnlydevelopedforUK Biggsetal.(2000)
LEMN Eutrophication Shallowcoastal
lagoons
-Changesinstructural hydrologicpatternsareoften theunderlyingcausefor changesinbiological correlations
-Sometimeslong-termdata available
Extensivemeasurements required
Souchuetal.(2000), Brehmeretal.(2011)
Predictivemodeling RIVPACS Bioticintegrity (UK)rivers -O/Eratiosareeasyto interpret
-Standardizedstatistical modeling
-SometimesnoReference conditionsleft
-Hastobedevelopedforeach region
Wrightetal.(1998)
6 M.VandenBroecketal./EcologicalIndicators54(2015)1–11
ofSwissponds,calledPLOCH(‘Plans(PL)d’eau(O)suisses(CH)’).
Thequalitystatusisallocatedbasedonthepresence/absenceof aquaticGastropodaand Coleopteraand theabundanceofadult Odonata(inadditiontoquadratbasedpresence/absenceofmacro- phytes,andabundanceofadultAmphibia).Thenumberofgenera orevenfamiliesofaquaticColeoptera(whichsparestheeffortof detailedspeciesidentifications)wereshowntobeusefulforfast, cost-efficientmonitoringoftheoverallqualityofSouthernSpan- ishlenticfreshwaterecosystems(Sánchez-Fernándezetal.,2006).
TheuseofmacroinvertebratesasbioindicatorsforSpanishwet- landsand Mediterraneanponds ingeneralhasbeen studiedas well.Trigaletal.(2007),forexample,foundthat thepondcon- ditionindex (toassess humaninduceddisturbance) alongwith pesticidesandphosphorousconcentration,werethebestpredic- torsofmacroinvertebratecommunities.Inafollow-upstudy,an indexwascreatedforthesamepondsusing differentmacroin- vertebratediversitycharacteristicsthatchangedwithincreasing levelsofeutrophication(Trigaletal.,2009).Also,fortemporary pondsGutiérrez-EstradaandBilton(2010)showedthatthediver- sityofColeopterawashighlycorrelatedwithdepth,conductivity, turbidityandmagnesiumconcentration.Anotherexampleisthe RICindex(‘richnessofinsectsandcrustaceans),developedbyBoix etal.(2005).Thismeasurementof taxonrichnessis thesumof thenumberofcrustacean,adultColeopteraandHeteropteragen- era,plusthenumberofimmatureinsectsandispartoftheQAELS index(Catalanfor‘waterqualityoflenticshallowenvironments’).
2.2.3. Zooplankton
Althoughtheyare notincludedin theWFD, thereare many characteristicsofzooplankton(microcrustaceans)thatmakethem usefulasbioindicatorsespeciallyinlenticwaterbodies(Lougheed andChow-Fraser,2002;Boixetal.,2005):(i)theyoccuringreat numbersandareeasilycaptured,(ii)theircommunitystructure variesaccordingtotrophicstatedifferencesandrespondsquickly tochangesintheenvironment,(iii)trophicinteractionsbetween microcrustaceansandphytoplanktonaswellasmacrophytesare wellknownand(iv)theyhaveahightaxonomicresolutionallowing verydetailedecologicalassessments.Incaseofproblemstoiden- tifyallgroupsdowntospecieslevel,evenamixed-taxonresolution canbeappliedtoobtainacceptableresultsinamorecost-efficient way.ThisisillustratedbytheACCOindex,aspartoftheQAELS- indexforMediterraneanwetlands(Boixetal.,2005).Thisindex isbasedontherelativeabundanceofzooplanktongroups(ACCO:
AbundanceofCladocera,CopepodaandOstracoda),andassesses thetaxonsensitivitytowaterquality.Nevertheless,zooplanktonas anindicatorgrouprequireshighdeterminationskillsandusually hasalowperceivedsocietalvalue.Moreover,seasonalorevendaily fluctuationscanoccurmakingthetimingofsamplingtheactive communitiesanimportantfactor.
Tosurviveperiodicunsuitableconditions(suchasdrought,pre- dation,lowtemperaturesoroxygenlevels),zooplanktonspecies producerestingeggsthataccumulateasrestingeggbanksinthe soiland from which theyrecolonize thehabitat when suitable conditionsrestore(BrendonckandDeMeester,2003;Angelerand García,2005).TheconceptualstudybyAngelerandGarcía(2005) suggeststhattheprocessofhatchingfromtheeggbankscanbe disturbedbybothphysicalandchemicalstressorsandmaythere- forebeusedasanindicatorforanthropogenicstress.Thisallows monitoringtheecologicalintegrityofsystemswhenitisdifficult tosampletheactivecommunities.Itcanalsobeusedtocomple- mentthesnapshotsamplingofactivecommunitiesastheeggbank integratestemporalvariationincommunitydynamics.Sediment samplingcaneasily bedoneyear-round, even whenponds are dry.Deepersedimentlayerscanevenbesampled(usingasedi- mentcore)toreconstructpastchangesonthebasisofbiological remainsand liferestingeggsarchivedin thesediment(Cousyn
etal.,2001;WhitmoreandRiedinger-Whitmore,2014).Astudy byVandekerkhoveetal.(2004)showedthatitispossibletoesti- matethebiodiversityofcladoceransinshallowlakesbydirectly identifyingtheephippialeggsusingmorphologicalcharacteristics.
Asaresult,onlyasinglesamplingeffortisrequiredandsediment samplescanbeprocessedquicklyaftercollection.Identificationof restingstagesisnotyetstudieddowntospecieslevelinalltaxa,so adequatedeterminationkeysarerequired(Vandekerkhoveetal., 2004).
2.2.4. Macrophytes
Mostexamplesofstudiesinwhichplantcommunitiesareused toassess ecologicalquality ofa habitatconcern terrestrialsys- tems(Bobbinketal.,2010).However,macrophytesalsohavean importantindicatorvalue inaquaticenvironments due totheir well-knownlifehistoriesandsuccessionpattern,susceptibilityto stress,immobilityandtherelativeeaseofidentification(Bornette andPuijalon,2011).Aquaticplantsresponddirectly(throughcom- petitionforlightandnutrients)orindirectly(throughfoodweb interactions)tochangesinwaterquality.Especiallyeutrophica- tionisamajorstressorforaquaticbiodiversity,andparticularly formacrophytes,asshownbyRossetetal.(2014).Bornetteand Puijalon(2011)reviewedthedifferentresponsestoabioticfactors ofaquaticplantsinfreshwaterhabitats.Thisreviewshowsthat functionaltraits,dispersalanddynamicsofaquaticplantcommu- nitiesarenotonlyimpactedbyeutrophication,butalsobyother environmentalparameters,includinglight,temperature,substrate characteristicsandwatermovements.Astudyof110boreallakes ofFinland(Alahuhtaet al.,2013)shows that submergedplants aremoredependentonwatertransparency,nutrientconcentration andcarboninthewaterthantheemergentvegetation.Incontrast, emergingmacrophytesareonlyinfluencedbythelowavailabil- ityoflightintheearlystageofdevelopmentandcanusecarbon dioxidefromtheair.Theseemergingplantscanalsoobtainnutri- entsfrom thesediment andare thereforeless related towater quality. Macrophyte community composition and abundanceis alsopartoftheindicatorsintegratedintheWFD(Dudleyetal., 2013).It is alsogenerallyaccepted thatthere isa positive cor- relationbetweenthediversityandcomplexityofvegetationand diversityofvegetationdependentanimaltaxa(Nicoletetal.,2004).
CroftandChow-Fraser(2007)developedaWetlandMacrophyte Index(WMI)fortheGreatLakestoinfertheecologicalcondition ofthewetlandsbasedonpresence/absenceofemergentandsub- mergedmacrophytespecies.Amacrophyte-basednutrientindex forSwisspondswasdevelopedbySagerandLachavanne(2010), wherebytheecologicalresponsetototalphosphorouswasmea- suredusingindicatorvaluesandspeciescover.Alsointemporary pondsin southwestPortugal, effortshavebeenmade todistin- guishdifferentpondtypesbasedonpresence/absenceofselected indicatorplantspecies,whichhelpsdecisionmakersinapracti- calwaywithassessingtemporarypondstatus(Pinto-Cruzetal., 2011).Similarly,intemporarypondsonbothsidesoftheStraitof Gibraltar(IberianPeninsulaandMorocco),theplantcommunity structureisrelatedtonutrientloading,temperatureandprecipi- tation(Lumbrerasetal.,2012).Lastly,therichnessandabundance ofrareandtemporarypondspecificspeciesareagoodindicator ofchemicalandphysicaldisturbancesintemporaryponds(Rhazi etal.,2001b;Bouahimetal.,2014).Rareandtemporarypondspe- cificspeciesarenottolerantofdisturbances,impactingnegatively theirrichnessandabundance.
Submerged and emergent macrophytes in wetlands can be mappedbyremotesensingtechnology(Adametal.,2010;Dekker andHestir,2012).Basedontheirspectralsignature,macrophyte cover(bothsubmergedandemergentvegetation)andwaterqual- ity variables such as chlorophyll a, cyano-phycocyanin levels (reflectingthepresenceof algalblooms)and suspendedmatter
M.VandenBroecketal./EcologicalIndicators54(2015)1–11 7
canbeestimated.Althoughfreeandmultispectralimageryfrom Landsatarefrequentlyusedforlargewaterbodies,duetoitscoarse (30m)resolution,itis notsuitableforsmallsystems(DeRoeck et al.,2008).However, highmultispectral imagery (e.g.Ikonos, Worldview-2andRapidEye),isnowcommerciallyavailable(spa- tialresolution2–5m)andcanbeusedforthispurpose(Dekkerand Hestir,2012).
2.2.5. Phytoplankton
Phytoplankton (such as diatoms and cyanobacteria) have a longhistoryasecologicalindicators,beingcharacterizedbyacos- mopolitandistribution,shortgenerationtimeandlowsampling effort(Resh,2008).Theyarethereforealsoincludedasanindi- catorgroupintheWFD,wherethequalityscoreisbasedonthe composition,abundanceandbiomassofphytoplankton.Thecom- positionandtotalbiomassofalgalspeciesinaquaticsystemsserves indeedasanimportantmetricfororganicpollutionandnutrient loading,suchasnitrogenandphosphorus(Brucetetal.,2013).Dif- ferentanalyticalmethodsexist,suchastheinsitumeasurement ofphycocyanin(characteristicpigmentofcyanobacteria),analyz- ingthemorphologicalvariabilityofphytoplanktontoassessthe trophicstateoflakes(Naselli-Flores,2013)orthemoreuniversal assessmentofchlorophylla,asageneralindicatorofphytoplankton biomass(Paerletal.,2003;Boyeretal.,2009).Particularlydiatoms areoftenusedforbiomonitoring,forexampleintheDiatomIndex ofWetlandCondition(DIWC),whichwasdevelopedformarshes inFlorida,withepiphyticdiatomdensityasthemostresponsive factortoarangeofanthropogenicdisturbances(pesticides,sedi- mentationandhabitatalteration)(LaneandBrown(2007).Aswith macroinvertebrates,identificationuntilgenuslevel,oreventaxa basedapproachessuchasfunctionalgroups,canalsoactasasurro- gateforphytoplanktonrichnessandcommunitystructure(Gallego etal.,2012).Forareviewonusingphytoplankton(amongothers)as abioindicatorinEuropeanlakes,seeBrucetetal.(2013),wherethey showedthatassessmentmethodsbasedonphytoplanktonhadthe highestnumberofcorrelationsbetweenanthropogenicstressand impactontheirenvironment.
2.2.6. Multimetricindices(MMI)
Properassessmentofsurfacewaterhealthconditionsingeneral andofwetlandsmoreparticularrequiresthesimultaneousassess- mentofitsphysical,chemical,and biologicalcomponents(Sims etal.,2013).Theintegrationofmultiplespeciesgroupstogether withphysicaland/orchemicalparametersinmultimetricindices (MMI)isthereforepreferredoversinglecomponentindicators.The trophicstateindex(TSI)forlakes,developed byCarlson(1977), isbasedonSecchidisktransparency,chlorophyllandtotalphos- phorus.Whileabioticvariablesarerelativelyeasytomeasure,they havelimitedvaluewhennotcomplementedwithbiologicalassess- mentssincetheyonlyrepresent(spatial/temporal)snapshotsof thecurrentstateofawetland.Therefore,mostmultimetricindices implementbioticvariablesaswell.TheQAELSindex,developed byBoix et al.(2005) for assessingthe water qualityof tempo- rary and permanentfreshwater and thalassohaline wetlands, is agoodexampleoftheintegrationofdifferentfaunalgroupsand waterparameterstoassessecologicalintegrity.Thisindexisbased ontherelativeabundanceofeachmicrocrustaceantaxon(ACCO) andisimprovedbyaddingthetaxonomicrichnessofinsectsand crustaceans(RIC).LougheedandChow-Fraser(2002)developeda similarWetlandZooplanktonIndex(WZI)fortheLaurentianGreat LakesBasin,basedonwaterquality(totalphosphorus,totalnitro- gen,totalsuspendedmatter,chlorophylla,temperature,dissolved oxygen,pHandconductivity)andzooplanktonassociationswith aquaticvegetation.AnotherexampleistheMMIbyVerdonschot etal.(2012)toassesstheeutrophicationstatusofarableditches, whichincludesthenumberofTrichopteraandGastropodafamilies,
totalfreshwatertaxaandpredatortaxaandthenutrientloading.
ThePredictiveSYstemforMultimetrics(PSYM)method,similarto thePLOCHmethod,wasdevelopedfor(permanent)pondsinthe UK,tocompareaparticularsitetootherpondsonecologicalquality (Biggsetal.,2000).Here,thecombinationofseveralmacroinverte- brateandmacrophytemetrics,includingthenumberofOdonata, MegalopteraandColeopterafamilies,thenumberofuncommon plantspeciesandthetrophicrankingscores(i.e.eutrophication measure)foraquaticandemergentplants,areusedtoassessthe generalqualityassessmentoflenticsystems.TheLagoonEutroph- icationMonitoringNetwork(LEMN)method,developedbySouchu et al.(2000)for shallowlagoonsin Southern France,integrates informationonwaterquality(temperature,salinity,turbidity,con- centrationsofdissolvedoxygen,nutrientschlorophylla,tPandtN), soilquality(organicmattercontent,totalphosphorus,totalnitro- gen, granulometry, reduction potential), phytoplankton (abun- danceofcells <and>2m),acrophytesandmacroinvertebrates (speciescomposition,speciesrichness,specificbiomassdensity), togiveanindicationoftheeutrophicationstatusofthelagoons.
2.2.7. Modelingapproaches
Anotherwaytoestimatebiologicalqualityoffreshwaterhabi- tats is via predictive modeling approaches. An example is the RIVPACS(RiverInVertebratePredictionandClassificationSystem) method,originallydevelopedforrivers,whichallowspredicting macroinvertebratecommunitiesofahabitatbasedonmeasured environmental variables (Wrightet al., 1998).A series of pris- tineUKriversiteswerecarefullyselectedasreferencehabitats.
Foreachsite,macroinvertebratedataandphysicochemicalcharac- teristics(geographicaldata,historicaldata,substratecomposition analkalinity)werecollected,sometimesduringmultiplesampling campaignsovertheyear,afterwhichriverswereclassifiedinriver sitegroups.Modelingallowsthentorelatethecommunitydata withthephysicochemicaldata.Whenaphysicochemicalsampleis takenfroma(new)siteofinterest,theexpectedmacroinvertebrate faunacanbepredictedaccordingtothereferencesite.TheWFD definesthisexpectedfaunaasthe‘biologicalreferencecondition’.
Ifthenamacroinvertebratesampleistakenfromthisnewsite,the observedmacroinvertebratecommunitycanbecomparedwiththe expectedreferencecommunity.Theecologicalqualityofthesiteis thenassessedbytheobserved/expected(O/E)ratio.Theadvantage ofthismethod(atleastforUKrivers)isthattheO/Eratiocaneasily beconvertedtoEcologicalQualityRatios(EQRs),whichareusedby theWFD.Inaddition,O/Eratioscanbeinterpretedmoreintuitively andhaveabiologicalexplanation(CaoandHawkins,2004).
3. Discussion
Wehavegivenabroadoverviewofdifferentindicatortypesand indicesthat arecurrentlyusedtoassesstheecologicalintegrity of (mostly permanent)surface waters. We will now discuss to what extentwe expectsomeofthesemethodstobeusefulfor themonitoringoftemporarywetlands,onceadaptedtothispar- ticularecosystem.First,wefocusonthemostimportantecological characteristicsoftemporarywetlands,andwewillthenusethisas abasistoevaluateandrecommendpotentiallyusefulmonitoring approaches.Wewillalsosuggestspecificsamplingguidelinesto acquiretheneededbiologicalinformationinastandardisedway.
3.1. Temporalandspatialregionalvariabilityintemporaryponds
Temporarypondsare oftencharacterizedby theirsmallsize (generally not larger than 5ha)and shallowdepth (oftenonly a few decimeters deep). Such small water volumes are prone to strong diurnal and seasonal fluctuations in abiotic parame- terssuchaspH,oxygen,nutrients,temperatureandconductivity
8 M.VandenBroecketal./EcologicalIndicators54(2015)1–11
(Grillas et al.,2004; Williams, 2006). Waterlevelsalso tendto vary strongly betweenand within years depending onclimate conditions(Vanschoenwinkeletal.,2009;Waterkeynetal.,2009;
Sahuquilloetal.,2012).Thisimpliesthatsnapshotmeasurements of water quality parameters only provide information on the currentstateofthewetland,neglectingsometimesprominenttem- poralfluctuations.Thetimingofthesemeasurements(timeofday, season,year)isthereforecriticallyimportantfortheoutcomeof theassessment. The seasonal fluctuations in abiotic conditions alsoresult in a strong turnover of the animal and plant com- munities,withclearsuccessionalphases,eachrepresentedby a characteristicgroupoforganisms(Wigginsetal.,1980;Rhazietal., 2001b;Gascónetal.,2005;Jocquéetal.,2007;Waterkeynetal., 2009;Vanschoenwinkel et al., 2010).The community assembly processstronglydependsonthehydroperiod(lengthofinunda- tion)ofthewetlandssinceitrepresentsthetimewindowduring whichorganismsmusthatch/germinate/colonize,growandrepro- duce (Brooks, 2000; Serrano and Fahd,2005;Vanschoenwinkel etal.,2009).Alsointer-annualdifferencesinenvironmentalcondi- tionscanleadtodifferentcommunitiesinsubsequentinundations (Rhazietal.,2009;Waterkeynetal.,2009).Thetimingofsamp- lingthereforegreatlydetermineswhichtaxawillbeencountered (i.e.highbeta-diversityin time).Additionally,pondswithinone singleregion are often characterized by different communities andenvironmentalcharacteristicsandcontributethereforetohigh beta-diversityinspace(Williamsetal.,2004;Angeleretal.,2008), whichmakesitdifficulttofindgeneralindicatorspecies.Therefore, conservingandmonitoringnetworksoftemporarypondsinstead offocussingonsinglepondswassuggestedtobemoreaccurateand efficient(Gómez-Rodríguezetal.,2009;Rhazietal.,2012;Rosset etal.,2014).
3.2. Monitoringguidelinesfortemporarywetlands
Asfishesaregenerallylackingfromtemporarywetlands,with theexceptionofkillifishandlungfishinsome(sub)tropicalregions, indicesbasedonthisfaunalgrouparenotusefulandwillnotbe furtherdiscussed.Bioticindicessuchasthewaterfowlindexand thefrogcallintensityindexarealsolessusefulforassessingthe bioticintegrityoftemporarysystemssincethepresenceofthese faunalgroupsisoftenlimitedintime.Nonetheless,sincetempo- rarypondsareoftenusedasbreedingspotsforamphibians(Sala etal.,2008;Gómez-Rodríguezetal.,2009),thequantificationoflar- vaeduringspringtimecouldbeintegratedinamultimetricindex, especiallysinceamphibianlarvaeareverysensitivetopollution (Bakeretal.,2013).Withthedevelopmentofmulti-spectralremote sensingtechniques(Adametal.,2010;DekkerandHestir,2012), largewetlandareascanbeassessedatonceandfollowed-uponthe longterm.However,sincemosttemporarywetlandsaresmallsized waterbodies,evenonlyquantificationofthesehabitatsremains difficult(DeRoecketal.,2008).Incontrasttotheassessmentofthe ecologicalstatusofshallowpermanentlakesthatcanbedoneby visitingthelakeonlyoncetohaveanoverviewofthecatchment, measurepHand turbidity,and documentthegeneral structure ofmacrophytecommunities(Mossetal.,2003),temporaryponds aresuchfluctuating,highlydynamic systemsthat welladapted samplingprotocolsare required that incorporatethis temporal variability(Brocketal.,2003).Therefore,weproposestandardized guidelinesthatcanbeusedforsamplingpondswithaperiodically dryphase,takingintoconsiderationthisseasonality.
3.2.1. Dryphase
Duringthedryphaseofatemporarypond,thesedimentiseasy tosample.Bycollectingaspatiallyintegratedsampleoftheupper 3cmofthesediment(i.e.‘theactiveeggbank’;BrendonckandDe Meester,2003),andhatchingitinthelaboratoryundercontrolled
climateconditions,‘hidden’pondbiodiversitycanbeassessed(and restored)evenwhenthepondisnotinundated(Brendonckand Williams,2000;AngelerandGarcía,2005;Vandekerkhoveetal., 2005).However,sinceaproportionofeggsmayremainunhatched afteronelaboratoryinundation,‘sugarfloatation’canbeusedto isolatetheremainingeggs(Onbé,1978;Marcus,1990).Thisfrac- tioncanthenbefurtheridentifiedunderamicroscopebasedonegg morphology(Vandekerkhoveetal.,2005;Brendoncketal.,2008).
Similarly,thisalsoappliestoannualtemporarypondplants,which produceseedsthatbuilduptheseedbankintheupperlayersofthe sediment(Rhazietal.,2001a).Theisolationofseedsisbasedonthe methodbyMalone(1967),andidentificationcanbeperformedby comparingseedmorphology.
Duetopartialhatchingateachoccasioncombinedwithdisturb- anceofthesurfacesediment,eggsintherestingeggbankoften originatefromdifferentgenerations(BrendonckandDeMeester, 2003).Assuch,so-called‘mixed’eggbanksmaynotalwaysprovide informationonrecentchangesintheecologicalqualityofwetlands.
Insystemswhereconditionsaretemporarilyunfavorableforcer- tainspeciesthatdosurviveasrestingpropagulesinthesediment, assessingthe‘hiddenbiodiversity’maythereforeresultinadif- ferentecologicalstatusthaniftheassessmentwasonlybasedon theactivecommunities(Vandekerkhoveetal.,2005).Thisaspectis oftenneglectedinexistingindicesforpermanentwaters,butcan beimplementedinindicesfortemporarywaterstocreateamore integratedlongtermviewofthewetlandcondition.
Thesediment itself canalsobeused formeasuringsoil abi- oticindicators,suchasgranulometry,chemicalcharacteristics(pH, totalNandP)anddryorganicmattercontent,asdescribedinthe LEMNmethodbySouchuetal.(2000).Thesevariablesarelesssen- sitivetofluctuationsinthewatercolumnandmeasurementscan evenbedoneduringthedryseasonwhenthesedimentisexposed.
Someanthropogenicimpactsthatarepossiblyinvisibleduringthe wetseason,suchas theamountof landfillor patternsofcattle useintensity(tramplingandgrazing),mayalsobeeasiertoassess duringthedryseason.
3.2.2. Aquaticphase
Thesedimenthasastrongimpactontherecyclingofdissolved minerals(Golterman,2004).Intemporaryponds,thiseffectiseven stronger since the dissolvedminerals are recycled throughthe sediment each time theydryout. Therefore, trophic thresholds developedfordeepstratifiedlakescannotbeusedforassessingthe ecologicalqualityoftemporaryponds,implyingthenecessityfor anewmethodofeutrophicationassessment(Elkiathietal.,2013).
Assuch,basedontheequilibriummodelofGolterman(2004),the ratiobetweentheamountoftotalphosphorusandtheparticulate Ppoolscouldactasanindicatorforeutrophicationinthesetempo- raryhabitats.PreliminaryanalysesbasedonSpanishandMoroccan wetlanddataappeartoconfirmthis(Serrano,unpublisheddataand VandenBroecketal.,unpublisheddata).
Samplingoftheactivecommunities(zooplankton,phytoplank- ton,macroinvertebrates,macrophytesandamphibians)shouldbe accomplishedtoprovideadditional informationonspecies that permanentlyinhabitthepond butthatdidnothatchinthelab fromtheeggorseedbank.Suchsamplingisevidentlyalsoneeded tocollecttheactivedispersersthatusuallyleavethepondbefore itdries.Duetothehighanimalandplantspeciesturnover,multi- plesamplingcampaignsduringthewetseasonarepreferred(Boix etal.,2005; Bovenand Brendonck,2009).Samplingonemonth afterinundationandonemonthbeforedryingout,completedwith asamplingcampaignhalf-waythroughtheinundation,givesin mostcasesanintegratedviewofthecommunitystructure.Anaddi- tionalfloralsurveycanbeperformedafterdryingout,toassessthe communitystructureofthelatesuccessionalplantsaswell.
M.VandenBroecketal./EcologicalIndicators54(2015)1–11 9
Thehighsensitivitytowarddisturbancesand knownecology of zooplankton, macroinvertebratesand macrophytesallowthe integrationofthesediversegroupsinbioticindicesfortemporary waters.TheintegrativeQAELSindexdevelopedbyBoixetal.(2005) offersinterestingperspectives.First,thisindexisbasedonmulti- plesamplingperiodswhicharenecessarytogenerateanintegrated overviewoftheturnoverofspeciesandfluctuatingdynamics.Sec- ond,itintegratesbothzooplanktonandmacroinvertebratesinto onesingleindex.Althoughzooplanktonisaveryimportantpartof theecologicalintegrityofwetlands(Mossetal.,2003),theWFD currentlylackstheincorporationofazooplanktoncomponent.The useofmacro-invertebratesin(multi-metric)indices,however,is alreadywidelyusedinpermanentsystems(CriadoandAlaez,1995;
Verdonschotetal.,2012),andrecentlyalsointemporaryponds (Gutiérrez-EstradaandBilton,2010).Sinceithasbeenshownfor somegroups(e.g.Coleoptera)thatconsideringonlyhighertaxo- nomiclevelsalreadyallowsthemonitoringofwaterbodies(Criado andAlaez,1995;Oertlietal.,2005a;Gutiérrez-EstradaandBilton, 2010),detailedspeciesidentifications,whichareoftendifficultand time-consuming,maynot alwaysbenecessary. Nevertheless,if detailedspeciesidentificationsarerequired,weconsiderDNAbar- codingasapotentialtool toovercomeidentificationdifficulties, suchasshownforexamplebyHajibabaeietal.(2011)forbenthic freshwatermacroinvertebrates.Indicesbasedonmacrophytesare alsohighlyrelevantsincetemporarypondsoftenhousecharac- teristichighlyspecializedspecies(Bouahimetal.,2014)thatplay importantrolesintemporarywetlandecosystems(Bornetteand Puijalon,2011).
Predictivemodelingapproaches offeradditionaltoolsforthe bioassessment of temporary waters, not only using macroin- vertebrates,but also other taxonomicgroups that show strong associationswiththeirenvironment.Althoughtemporaryponds showstrongspatialandtemporalvariation,multiplesamplingof activefaunaland floralcommunities, incombination withana- lyzingtherestingcommunitiesandtheenvironmentalvariables, shouldindicatewhichsitesaremorepristineandcanbeusedas referencesitesinthearea.Temporarypondsofinterestcanthen beassessedusingtheO/Eratio,cfr.Wrightetal.(2000).However, currentlytoolittledataisavailabletovalidatethismethod.
Lastly,formonitoringtemporaryponds,wespecificallypromote theuseoflargebranchiopods(Anostraca,Notostraca,Laevicaudata, SpinicaudataandCyclestherida).Theseverycharacteristictempo- rarywetlandspeciesareconsideredtobetheflagshipspeciesof thesehabitats(Colburn,2004).Theyhaveaworldwidedistribution (Brendoncketal.,2008),theirecologyiswellstudiedandtheypro- ducerestingeggbankswhichcaneasilybesampledandhatched inthelaboratory(BrendonckandWilliams,2000).Mostofthem alsohave aspeciesspecificeggmorphology(Brendonckand De Meester,2003)makingthemeasilyidentifiableafterisolation.Dif- ferentstudiesindicatethatlargebranchiopodsareverysensitive towardstressors,suchassalinity(Waterkeynetal.,2010),hydro- logicalchanges(Pyke,2005;Tuytensetal.,2014),pollution(Hamer andBrendonck,1997)andhabitatmodification(Vanschoenwinkel etal.,2013).
3.3. Concludingremarks
Althoughtemporarywetlandsareamainwatersourcein(semi) aridregionsandoftenhouseauniquediversity,officialmonitor- ingprogramsliketheWFDcurrentlydonotcoverthishabitattype.
Despitethebroadrangeofdifferenttypesofexistingindicatorsand indicesforlakesandwetlands,manylimitationsstillexistfortheir generalapplication(Innisetal.,2000).Onesuchconstraintisthe lackoftaxonomicallyskilledspecialistswhocaneasilyidentifytax- onomicgroupsdowntothedesiredlevel.Combinedwithfurther neededresearchontheauto-ecologyofparticulartaxa,thisshould
leadtothedevelopmentofmorereliableindicatorsthatcanbeused by wetland managers. These limitations and recommendations alsoapplyforthecurrentsetofmonitoringtoolsfortemporary wetlands that weregenerallyonly developedand appliedfor a particularregion.Theserestrictionscanleadtothefurtherdegra- dationoftemporarypondsworldwide,especiallyincombination withthevariousandofteninconsistentinternationalagreements andnationalpolicies.Basedonexistingtoolsforassessingdiffer- enttypesofwaterbodies,wehavemadesomerecommendations forstandardizedmonitoringofthislargelyignoredbutecologically andsocio-economicallyimportanthabitattype.Wehaveespecially highlightedtheuseoflargebranchiopods,mixedrestingeggand seedbanksand sedimentqualitytoassess thequalitystatusof temporaryponds.Asbothrestingegg andseedbanksand sed- imentintegratetemporal variationinwaterandhabitatquality, theycouldtosomeextentreplacelaborintensivefrequentsnap- shotsamplingoftheactivecommunities.Whenthesemethodsare furtherinvestigated,theycanbevalidatedforalargesetoftempo- rarypondtypesfromdifferentregions,followedbytherealization ofuserfriendlyprotocolsandtrainingsessions,especiallyforland ownersandconservationists.
Acknowledgments
MaartenVandenBroeckisaresearchfellowfundedbyaVLIR- UOS (VLADOC) grant. This project hasbeen achieved with the financial support of a VLIR-UOS SI project(No. ZEIN2011Z092/
2011-101).
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