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Multiple components of environmental change drive populations of breeding waders in seminatural grasslands

Laursen, Karsten; Balbontín Arenas, Javier; Thorup, Ole; Haaning Nielsen, Henrik; Asferg, Tommy; Møller, Anders Pape

Abstract

Environments are rapidly changing due to climate change, land use, intensive agriculture, and the impact of hunting on predator populations. Here, we analyzed longterm data recorded during 1928–2014 on the size of breeding populations of waders at two large nature reserves in Denmark, Vejlerne and Tipperne, to determine the effects of components of environmental change on breeding populations of waders. Environmental variables and counts of waders were temporally autocorrelated, and we used generalized least square (GLS) by incorporating the first-order autoregressive correlation structure in the analyses. We attempted to predict the abundance of waders for short-term trends for two nature reserves (35 years) and for long-term trends for one nature reserve (86 years), using precipitation, temperature, nutrients, abundance of foxes Vulpes vulpes, area grazed, and number of cattle. There was evidence of impacts of nutrients, climate (long-term changes in temperature and precipitation), grazing, mowing, and predation on bird populations. We used standard random effects meta-analyses weighted by (N–3) to quantify these mean effects. There was no significant difference in effect size among species, while mean effect size differed consistently among environmental factors, and the interaction between effect size for species and environmental factors was also significant. Thus, environmental factors affected the different species differently. Mean effect size was the largest at +0.20 for rain, +0.11 for temperature, −0.09 for fox abundance, and −0.03 for number of cattle, while there was no significant mean effect for fertilizer, area grazed, and year. Effect sizes for two short-term time series from Tipperne and Vejlerne were positively correlated as were effect sizes for short-term and long-term time series at Tipperne. This implies that environmental factors had consistent effects across large temporal and spatial scales.

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Ecology and Evolution. 2018;8:10489–10496.   | 10489 www.ecolevol.org Received:14April2017 | Revised:24February2018 | Accepted:24March2018 DOI: 10.1002/ece3.4514 ORIGINAL RESEARCH Multiple components of environmental change drive populations of breeding waders in seminatural grasslands Karsten Laursen1 | Javier Balbontín2 | Ole Thorup3 | Henrik Haaning Nielsen4 | Tommy Asferg1 | Anders Pape Møller5 ThisisanopenaccessarticleunderthetermsoftheCreativeCommonsAttributionLicense,whichpermitsuse,distributionandreproductioninanymedium, providedtheoriginalworkisproperlycited. ©2018TheAuthors.Ecology and EvolutionpublishedbyJohnWiley&SonsLtd. 1DepartmentofBioscience,Aarhus University,Rønde,Denmark 2DepartamentodeZoología,Facultadde Biología,Sevilla,Spain 3AmphiConsult,Ribe,Denmark 4AvifaunaConsult,Vesløs,Denmark 5EcologieSystématiqueEvolution, CNRS,UniversitéParis-Sud,AgroParisTech, UniversitéParis-Saclay,Orsay,France Correspondence KarstenLaursen,InstituteofBioscience, AarhusUniversity,Rønde,Denmark. Email:[email protected] Funding information AageV.JensenNaturfond Abstract Environmentsarerapidlychangingduetoclimatechange,landuse,intensiveagriculture,andtheimpactofhuntingonpredatorpopulations.Here,weanalyzedlong- termdatarecordedduring1928–2014onthesizeofbreedingpopulationsofwaders attwolargenaturereservesinDenmark,VejlerneandTipperne,todeterminethe effectsofcomponentsofenvironmentalchangeonbreedingpopulationsofwaders. Environmentalvariablesandcountsofwadersweretemporallyautocorrelated,and weusedgeneralizedleastsquare(GLS)byincorporatingthefirst-orderautoregressivecorrelationstructureintheanalyses.Weattemptedtopredicttheabundanceof wadersforshort-termtrendsfortwonaturereserves(35years)andforlong-term trendsforonenaturereserve(86years),usingprecipitation,temperature,nutrients, abundanceoffoxesVulpes vulpes,areagrazed,andnumberofcattle.Therewasevidenceofimpactsofnutrients,climate(long-termchangesintemperatureandprecipitation),grazing,mowing,andpredationonbirdpopulations.Weusedstandard randomeffectsmeta-analysesweightedby(N–3)toquantifythesemeaneffects. Therewasnosignificantdifferenceineffectsizeamongspecies,whilemeaneffect sizedifferedconsistentlyamongenvironmentalfactors,andtheinteractionbetween effectsizeforspeciesandenvironmentalfactorswasalsosignificant.Thus,environmentalfactorsaffectedthedifferentspeciesdifferently.Meaneffectsizewasthe largestat+0.20forrain,+0.11fortemperature,−0.09forfoxabundance,and−0.03 fornumberofcattle,whiletherewasnosignificantmeaneffectforfertilizer,area grazed, and year. Effect sizes for two short-term time series from Tipperne and Vejlernewerepositivelycorrelatedaswereeffectsizesforshort-termandlong-term timeseriesatTipperne.Thisimpliesthatenvironmentalfactorshadconsistenteffectsacrosslargetemporalandspatialscales. KEYWORDS climatechange,environmentalchange,fertilizer,landuse,long-termstudies,nutrients, precipitation,studymethods,temperature 10490 | LAURSEN Et AL. 1 | INTRODUCTION Breeding populations of waders are declining across western Europe(Thorup,2006;Roodbergen,vanderWert,&Hötker,2012; Robinson,Morrison,&Baillie,2014).Thereasonsforthesedeclines includeintensifiedagriculturalpractice,reclamationofcoastalhabitats,increasingpredationpressure,humandisturbance,andclimate change (Beintema & Müskens, 1987; Wilson, Ausden, & Milsom, 2004;Smart,Gill,Sutherland,&Watkinson,2006;Holm&Laursen, 2009;Roodbergenetal.,2012;Stephensetal.,2016).Demographic studiesshowthatthedeclinesaremainlycausedbypoorchicksurvivalratherthanadultsurvival(Roodbergen,Klok,&Schekkerman, 2008; Roodbergen etal., 2012). Low breeding success is caused bylossesofneststopredationandflooding(Hötker&Segebade, 2000;VandePoletal.,2010;Bellebaum&Bock,2009;Thorup& Koffijberg,2016).Studiesofwaderpopulationsduringrecentyears havefocusedonfarmlandrevealingcomplexinteractionsbetween agricultural practice and climate, affecting the survival of young (Kleijn etal., 2010; Schroeder etal., 2012). Young waders have tofindtheirownfood,andduetohighenergyrequirementsand poorabilitiestosaveenergy,theyoperatewithinnarrowenergetic margins, for example, a balance between quantity and quality of food (Schekkerman &Visser,2001;Maier,2013).Tothisarrayof parametersinfluencing waderpopulations,weincludedchange in nutrient load in the environment as a proxy for primary productivityandamountofbenthosandthusindirectlycarryingcapacity forbreedingbirds(Philippartetal.,2007;Møller,Flensted-Jensen, Laursen,&Mardal,2015).Thus,nutrientloadcanbeanimportant parameter,althoughastraightforwardrelationshipbetweennutrientsandamountofinvertebratefoodforyoungcannotbeexpected (Schekkerman & Beintema, 2007). Outside the breeding season duringmigrationandatwinteringsites,severalwaderspeciesstage and forage in marine estuaries and along coasts that are influencedbynutrients(Vitousek,Mooney,Lubchenko,&Melillo,1997; Windolf,Blicher-Mathiesen,Carstensen,&Krovang,2012). Different components of environmental change such as climatechange,landuse,andfisheriesarecurrentlybeingdescribed asdeterminantsofpoorreproductiveperformance,reducedsurvivorship,anddecliningpopulationtrendsforwadersandotherbird populations (Frederiksen, Wanless, Harries, Rothery, & Wilson, 2004; Schroeder etal.,2012;Maier,2013).However, fewstudies havedemonstratedforclimatechangethatdemographicvariables determine population size (Dunn & Møller, 2014; Robinson etal., 2014;Stephensetal.,2016).Attemptstomakeintegratedanalyses oftherelativecontributionsofmultiplefactorsaccountingforsuch trendsarescarce.Anumberofstudieshaverecentlyinvestigated theeffectsofclimatechangeandlanduseonpopulationsize(Møller, Flensted-Jensen,&Mardal,2007;Pimm,2009;Eglington&Pearce- Higgins,2012;Mantyka-Pringle,Martin,&Rhodes,2012;Jørgensen etal.,2015;Martin,vanDyck,Dendoncker,&Titeux,2013;Møller& Laursen,2015).Thisleavesanumberofadditionalfactorsinneedof study,includingpopulationchangesandeffectsofindustrializedagriculturewithhighlevelsoffertilizeruse.Sincesuchanalysesquickly includemanypredictors,theyareresourcedemandingandonlyfeasiblewhenbasedonlong-termstudies.Unfortunately,mosttimeseriesinecologicalresearchareshortandonlyrarelyexceed50years, therebyoftenpreventinginclusionofallorevenmostcrucialpredictorsandcertainlynotinclusionofinteractionsamongvariables. Theaimsofthisstudywere(a)toquantifytheeffectsizeforthe impactofenvironmentalconditionsonthepopulationsizeofseven waderspecies;(b)toanalyzetheeffectsofclimate,nutrients,land use,andpredatorabundanceonsizeoflocalbreedingpopulations ina86-yeartimeseriesofwaderbirdcommunitiesatTipperneand twoshort-termtimeseriesof35yearsatTipperneandVejlerne;(c) totestforconsistencyineffectsizebetweenoneshort-termand onelong-termtimeseriesatTipperneandforoneshort-termtime seriesofeffectsizesatTipperneandoneshort-termtimeseriesat Vejlerne.Wedidsobyanalyzingthebreedingabundanceofseven wader species during1928–2014 atthenaturereserveTipperne, Denmark, and during 1978–2014 at the nature reserve Vejlerne, Denmark. 2 | METHODS 2.1 | Sites, wader species, and study periods We studied breeding waders at two seminatural grassland sites (TipperneandVejlerne)inwesternDenmarkextensivelyfarmed,for example,grazedbycattleatlowdensity,latemowing,andwithout directuseoffertilizer(seesitedescriptioninSupportinginformation AppendixS1).Wefocusedonthewaderbirdcommunitycomposed of seven species: Oystercatcher Haematopus ostralegus, lapwing Vanellus vanellus,black-tailedgodwitLimosa limosa,redshankTringa totanus, dunlin Calidris alpina, ruff Philomachus pugnax, and avocet Recurvirostra avocetta. Data on bird numbers are available at Tipperneduring1928–2014andatVejlerne1978–2014,exceptfor 2004andforoystercatcherduring2004–2014(seeFig.1).Theyare allmigratorybirdswiththeearlybreedingspeciesarrivinginMarch (oystercatcher,lapwing),whiletheotherspeciesarriveinApril.The twostudyareasareNATURA-2000sitesthatarestrongholdsfor breedingwadersinDenmark(Thorup,2004). 2.2 | Census methods CensusmethodsaredescribedbyMøller(1983),Thorup(1998),and Kjeldsen(2008).Theyhavebeenadjustedduringthestudyperiod duetochangeinvegetationheight.AtTipperneduring1928–1957, nestsweresearchedintensively.During1958–1964,nestsearches weresupplementedbymappingbirdsgivingalarmcallstoidentify territories. In 1965–1985, breeding birds giving alarm calls were mapped together with nests. From 1986, breeding waders were mappedfromadistancewithatelescope(60×magnification)supplementedwithmappingeventsofwarningbirds.Thesemethods weregroupedinthreecategoriesandenteredinthestatisticalanalysesasafactorwiththefollowinglevels:nestsearch,nestsearch | 10491 LAURSEN Et AL. andterritorymapping,andterritorymappingandtelescopeuse.A detaileddescriptionofthecensusmethodsisgiveninSupporting informationAppendixS1. 2.3 | Climate Climate estimated as long-term change in precipitation and temperaturetogetherwithgroundwaterlevelisknowntoaffectbreeding wader populations (Thorup, 1998; Bellebaum & Bock, 2009; Schroederetal.,2012;Maier,2013).Weusedmeanofdailymaximumairtemperature(°C)inAprilandsumofmonthlyprecipitation forMarch, April, and May (mm, datafrom DanishMeteorological Institute). We used data on climate measured at a local coastal weatherstationatVestervig.GroundwateratTipperneandwater level at the outlet sluice at Vejlerne were measured, but not includedintheenvironmentalanalysisduetosignificantcorrelations (p<0.05)withprecipitationinmostspringmonths. 2.4 | Nutrients Data on fertilizer from farmland in Denmark were estimated for 1928–2014 as the annual amount of outlet of total-N (tons) to coastalwaters(Conleyetal.,2007)andupdatesbyHansen(2011) andThodsenetal.(2016).Eachupdatewascalibrated totheformerlevel.Thisdatasetwasusedforthelong-termstatisticalanalysesforTipperne.From1989,dataonnitrogen(μg/L)concentration werecollectedinRingkøbingFjord(surroundingTipperne)andfor nitrogen in Limfjorden (adjacent to Vejlerne) as a part of the nationalmonitoringprogramNOVANA(datafromEnvironmentCentre Ringkøbing;bothsites;Hansen,2015).Thesedatasetswereused fortheshort-termstatisticalanalysesatTipperneandVejlerne. 2.5 | Management and predation Habitatmanagementasgrazingandmowingisimportantformaintaining populations of breeding waders while predators reduce breedingsuccess(Thorup,1998;Bellebaum &Bock,2009;Maier, 2013). At Tipperne, we have data on the number of cattle, area grazed(ha),andtherelativeareamowedsince1931.Duetoqualitativeinformationonareamowed,itwasclassifiedas0(0%–5%ofthe meadowsmowed),1(6%–25%mowed),2(26%–50%mowed),or3 (51%–75%mowed).AtVejlerne,dataonthenumberofcattle,the areagrazed,andtheareamowedwereavailable. We analyzed the effects of foxes on nest predation (Thorup, 1998;Kjeldsen,2008).Informationaboutfoxabundancewastaken from the official Danish bag statistics, which goes back to 1941. Fromthisyearupto1972,weusedthenationalbagsizeoffoxesasa proxyforfoxabundance(annualnumberoffoxesshotinDenmark). From1973to2014,informationexistsaboutfoxbagatthecountry level(annualnumberoffoxesshotpercountysurroundingTipperne andVejlerne),andweusedthislocalinformationtoaccountfordifferences between regions. Environmental data for Tipperne and VejlerneareshowninSupportinginformationTablesS1andS2. 2.6 | Statistical methods Weusedgeneralizedleastsquare(GLS)thatallowserrorstobe correlatedandtohaveunequalvariances.WetestedfortemporalautocorrelationforeachwaderspeciesbuildingtwoGLS, FIGURE1 Numberofbreedingpairsofsevenwaderspeciesat (a)Tipperneduring1928–2014and(b)Vejlerneduring1978–2014 (a) (b) FIGURE2 Boxplotsofeffectsizeforimpactsofdifferent environmentalconditionsonpopulationsizeandpopulation trendsofwaders.Theboxplotsshowmedians,quartiles,5and95 percentiles,andextremevalues –0.8 –0.4 0.0 0.4 0.8 Effect size Area grazed No. of cattle Amount No. of foxes AmountTemperature Year fertilizer rain 10492 | LAURSEN Et AL. oneof themincorporatingthe first-orderautoregressivecorrelation structure for year and the other one without it. We comparedbothmodelsusingANOVAandlikelihood-ratiotest (LRT) to evaluate which model performed better (Pinheiro & Bates,2000).Allanalysesshowedevidenceoftemporalautocorrelation(allp <0.01).Hence,weusedGLSthatincorporate the first-order autoregressive correlation structure for year toevaluate foreachwaderspecies seven predictors explaining variation in population size across years. The predictors weretemperatureinApril,totalprecipitationfromFebruaryto May,amountofnutrients,numberofcattle,totalareagrazed, numberoffoxes,andyear.Countnumbersforeachwaderspecieswerelog-transformedpriortoanalyses(exceptforlapwing countsthatshowedadistributionclosetoaGaussiancurve).All predictorswerestandardizedtoameanofzeroandSD =1to ensurethatallvariablesbeingatthesamescaleandtheinterceptbeinginterpretable.Residualsofeachmodelwerevisually inspectedfordeviationfornormalityusingnormalQQplots, andheteroskedasticity wasalsovisuallyinspected withplots ofresidualsagainstthefittedvalues.Webuiltmodelsforlong- termandshort-termdataatTipperneandshort-termdataat Vejlerne. We employed the libraries “nlme” (Pinheiro, Bates, DebRoy,&Sarkar,2018)andusedRversion3.3.3(RCoreTeam 2017). WeestimatedeffectsizesasPearson’sproduct–momentcorrelationcoefficientsbyusingstandardconversions(Rosenthal,1994). Theseeffectsizeanalysesonlyincludedfewobservations,implying thatthestatisticalpowerofanyspecificanalysisislow.Weadopted Cohen’s(1988)recommendationsforthemagnitudeofeffectsbeing small(Pearsonr=0.10,explaining1%ofthevariance),intermediate (r=0.30,explaining9%ofthevariance),orlarge(r=0.50,explaining 25%ofthevariance). 3 | RESULTS 3.1 | Effect size, environmental change, and species at Tipperne during 1928–2014 Overall effect size weighted by (N–3) was on average +0.033 (SE =0.016), N =147, marginally differing from zero (t =2.02, df =146, p =0.045). There was no significant difference in effectsizebetweenthetwosites(F =0.254,df =1,145,r2 =0.00, p =0.615(Figure2)). Effectsizedidnotdiffersignificantlyamongspecies(F =1.08, df =6, 140, r2 =0.0003, p =0.377). The four largest effect sizes were for foxes reducing the short-term abundance of avocet at Vejlerne(r =−0.552,t =2.90,df =26,p =0.0074),rainincreasingthe long-term abundance of lapwing at Tipperne (r =+0.427, t =3.58, df =66, p =0.0077), temperature increasing the long-term abundanceofgodwitatTipperne(r =+0.412,t =3.44,df =66,p =0.001), andfoxesreducingtheshort-termabundanceoflapwingatVejlerne (r =−0.339,t =3.42,df =26,p =0.0021).Short-termeffectsizefor godwitatVejlerneincreasedwithnutrientswithalargeeffectof +0.468, t =2.476, df =26, p =0.020, and avocet in the long term at Tipperne likewise had a strong positive effect size of +0.313, t =2.655,df =66,p = 0.0099. Effect size differed significantly among environmental variables (Figure3; F =5.797, df =6, 140, r2 =0.16, p<0.0001). The interactionbetweenspeciesandenvironmentalvariableswasalso statistically significant (Figure3; F =3.415, df =36, 140, r2 =0.44, p<0.0001). Thus, not all six environmental variables had similar effectsonthedifferentspecies.Precipitationhadanintermediate significantpositiveeffectonabundance,whiletemperaturehada significantpositiveeffect,foxesasignificantnegativeeffect,numberofcattleasignificantnegativeeffect,andareagrazedasignificantpositiveeffect(Figure3;Table1). FIGURE3 (a)Relationshipbetweeneffectsizesfordifferent charactersbetweenshort-termstudiesatTipperneandlong-term studiesatTipperne.Thelinesshowthepositivelinearregressions. (b)Relationshipbetweeneffectsizesfordifferentcharacters betweenshort-termstudiesatTipperneandshort-termstudiesat Vejlerne –0.8 –0.4 0.0 0.4 0.8 –0.8 –0.4 0.0 0.4 0.8 Short-term effect sizes Vejlerne Short-term effect sizes Tipperne (b) – 0.8 – 0.4 0.00.4 0. 8 – 0.8 – 0.4 0.0 0.4 0.8 Long-term effect sizes Tipperne Short-term effect sizes Tipperne (a) | 10493 LAURSEN Et AL. 3.2 | Correlations between effect sizes at different sites and in periods of different duration For the data from Tipperne, there was a positive correlation between short- and long-term effect sizes (Figure 3a; F =10.187, df =1,47,r2 =0.16,p =0.0025,estimate(SE) =0.334(0.105),effect size+0.42).Thus,populationchangeshavebeenparallelatshortand at long terms.Similarly, there was a positivecorrelation between short-termeffectsizeatTipperneandshort-termeffectsatVejlerne (Figure3b; F =12.260, df =1, 47, r2 =0.19, p =0.0010, estimate (SE) =0.391(0.112),effectsize+0.45).Therefore,specificenvironmentalfactorshadsimilareffectsacrossspatialscales. 4 | DISCUSSION Themainfindingsofthislong-termstudyofpopulationtrendsof breedingwadersattwonaturereservesinDenmarksince1928and 1978weresignificantimpactsofmultiplecomponentsofenvironmentalchange.Inthepresentstudy,wetestedforconsistencyin effectsizesforenvironmentalvariableshypothesizedtoaffectpopulationtrendsofwaders.Wefocusedonasuiteofenvironmental changeparametershypothesizedtoactonbreedingwaderpopulations,althoughthesespeciesaremigrantsthatspendthenonbreedingseasonalongtheEastAtlanticFlywayfromtheWaddenSeain thenorthtoWestAfricainthesouth(Bønløkkeetal.,2006).The long-termtimeseriesdatingbackto1928allowedustotestforheterogeneity in strength of the relationship between abundance of breedingwadersandmultiplecomponentsofenvironmentalchange. Inparticular,wewereabletorankenvironmentalcomponentsin terms of importance. We found no significant difference among speciesineffectsize,butwedocumentedsignificantheterogeneityamongenvironmentalfactors,andtheseeffectsvariedamong species.Importantly, effectsizesfor thetwo shorttime seriesat TipperneandVejlernewerepositivelycorrelated,andthatwasalso thecasewhenrelatingeffectsizesfortheshorttermandthelong termatTipperne.Thus,effectsizesforenvironmentalfactorswere consistentacrosstemporalandspatialscales. Climatechangeiscurrentlyconsideredamajordeterminantof phenology, demography, distribution, and population trends (reviewsinMøller,Fiedler,&Berthold,2010;Pearce-Higgins&Green, 2014;Stephensetal.,2016).However,thereisonlylittleempirical evidencesuggestingthatpopulationsizeofbirdsisimpactedbyclimatechange(Dunn&Møller,2014;Stephensetal.,2016).Arrival dateandearlybreedinginwadersareclearlyaffectedbywarmer temperature in spring, although altered by agricultural practice (Petersen, Meltofte,&Tøttrup, 2012;Schroederetal.,2012).We showedconsiderablefluctuationsinbreedingpopulationsofwaders at Tipperne since 1928, explained by spring temperature and in particular precipitation. We documented a mean effect size of +0.197(SE =0.040)forspringprecipitationandaweakereffectsize of+0.110(0.044)forspringtemperature.Sincebothtemperature andprecipitationhaveincreased,thisimpliesthatthechangesinclimatearethosethatimprovedtheabundanceofbreedingwadersthe most.Temperatureandprecipitationareknowntoaffectreproductioninwaders(Schroederetal.,2012),andpopulationsresponding positivelytoclimatechangearelikelytoincrease(Møller,Rubolini,& Lehikoinen,2008;Stephensetal.,2016). Landusehaschangedconsistentlyinthetwostudysitesdueto management.Interestingly,wehaddetailedinformationonthearea grazedandthereforeonitsrelativeimportanceforbreedingwaders. Grazingreducedtheheightofthevegetation,sloweddownoreven reversedsuccessionalprocesses,andincreasedarthropodbiomass, which in turn had beneficial effects on growth of young (Norris etal.,1998;Eglingtonetal.,2008;Maier,2013).Inaddition,vegetationheightaffectstheabilityofwaderstoobservepredatorsata distance,butalsopreventsuseofsuitablenestingsitesandaccess topreferredforaginghabitatsforyoungduetotallswards(Cramp, 1985;Kleijnetal.,2010).Wefoundevidenceofaweakmeaneffectofthenumberofcattleonpopulationsizeofdifferentspecies ofwadersatthetwostudysites.However,theweakmeaneffect ofnumberofcattleof−0.032(0.026)impliesthatthismanagement toolinfacthadadetrimentaleffectratherthanabeneficialeffect onthenumberofbreedingwaders.Incontrast,theareagrazedhad ameaneffectof +0.031(0.030).This impliesthat thenumberof breedingwadersimprovedmarginallywiththeareagrazedbycattle. Weanalyzedtheeffectsoffoxesonpopulationsizeofbreeding waders that mainly act through effects on nest predation andtoasmallerextentonpredationonadultbirds(Beintema& Müskens, 1987; Meisner etal., 2014). We expected that foxes wouldnegativelyimpactpopulationtrendsofwaders.Indeed,we foundanexpectedmeaneffectof−0.106(0.050).Atotalof16 Variable Mean SE Wilcoxon W N p Year −0.014 0.053 −9,330 21 0.13 Amountof fertilizer +0.024 0.033 4,075 21 0.51 Areagrazed +0.031 0.030 33,871 21 <0.0001 No.ofcattle −0.032 0.026 −47,365 21 <0.0001 No.offoxes −0.086 0.041 −76,427 21 <0.0001 Temperature +0.110 0.044 82,291 21 <0.0001 Precipitation +0.197 0.040 19,652 21 <0.0001 TABLE1 Mean(SE)effectsizesfor environmentalfactorsatTipperneand Vejlerneandtestsfordifferencefromthe nullhypothesisofzeroinWilcoxon matched-pairssigned-ranktests 10494 | LAURSEN Et AL. outof21effectsizeswerenegative.Differencesineffectsoffox predationovertimeandbetweensitescouldbetheconsequence ofoutbreaksofthesarcopticmangediseasecausedbytheskin- dwellingmiteSarcoptes scabiei.Scabiescanreducefoxpopulations locallyandnationallywitheffectsonthebreedingwaterbirdcommunity(Forchhammer&Asferg,2000;Clausen&Kahlert,2010). There was a negative impact of foxes on waders, as shown by Roodbergenetal.(2012). Fertilizer increases nutrient availability, primary productivity, andsubsequenteffectsontheabundanceofanimalsathighertrophiclevelsinthemarineenvironment(Phillippartetal.,2007;Møller etal.,2015).Meaneffectsizeoffertilizeronwaderswasonly+0.024 (0.033),whichwasnotsignificantlydifferentfromzero.Here,we documentedtworelativelylargeeffects.Wefoundthateffectsize forgodwitatVejlerneincreasedwithfertilizerusewithalargeeffectsizeof+0.468,t =2.476,df =26,p =0.020,andavocetinthe long-termatTippernelikewisehadastrongpositiveeffectsizeof +0.313,t =2.655,df =66,p =0.0099.TipperneandthesurroundingRingkøbingFjordarestronglyimpactedbydrainagefromSkjern River,whichtransportshugeamountsofnutrientsfromlargesurroundingagriculturalareas(Petersenetal.,2008). Thisstudyhassignificantfutureprospects.First,weonlyanalyzed the main factors that most likely affect populations and populationtrendsofbreedingwaders.Clearly,itwouldbeinterestingtoassesstowhichextentinteractionsbetweenfactorsmay impactpopulationsandpopulationtrends.Second,thisstudyhas importantimplicationsforconservationintermsofmanagement ofnaturereserves,managementofpopulationsofpredatorssuch asfoxes,andmanagementofvegetationasaffectedbygrazing. Clearly,mostnaturereserves,oftensmallinsize,willbeimpacted byanumberoffactorsrelatedtoenvironmentalchange,butalso influenced by surrounding areasthat aremuch larger.Wehave shownherethateffectsizesforshort-andlong-termeffectsare positivelycorrelatedandthatdifferentfactorsaffectthesizeof breedingwaderpopulations. In conclusion, we have analyzed unique long-term data on breeding populations of waders with the longest time series starting in 1928. When analyzing the relationship between the abundanceofbreedingwadersandmultiplecomponentsofenvironmental change, we found significant evidence of effects. Whiletherewerepositivecorrelationsbetweeneffectsizesfor short-termstudiesatdifferentsites,orlong-andshort-termeffect sizesatthesamesite,thesecorrelationswererelativelystrongaccountingfor10%–15%ofthevariance.Thesefindingsemphasize theimportanceofconsideringheterogeneityinfuturemonitoring schemes. ACKNOWLEDGMENTS WethankJettePoulsenEngholm,EnvironmentCenterRingkøbing, for providing data for nutrients. O. Gordo provided constructive criticism.ThestudyreceivedfinancialsupportfromAageV.Jensen Naturfond.Wedeclarenoconflictofinterests. AUTHORS CONTRIBUTION APMconceivedtheproject;OTandHHNcollectedthedata;APM andKLanalyzedthedata;KL,APM,OT,HHN,andTAwrotethe manuscript. DATA ACCESSIBILITY WesuggesttostorethedataatTreeBASE,ifthepaperisaccepted. 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