scieee Open visual document viewer

Extensive Pollen Flow but Few Pollen Donors and High Reproductive Variance in an Extremely Fragmented Landscape

Aparicio Martínez, Abelardo; González Albaladejo, Rafael; Guzmán, Beatriz; González Martínez, Santiago C.

Abstract

Analysing pollen movement is a key to understanding the reproductive system of plant species and how it is influenced by the spatial distribution of potential mating partners in fragmented populations. Here we infer parameters related to levels of pollen movement and diversity of the effective pollen cloud for the wind-pollinated shrub Pistacia lentiscus across a highly disturbed landscape using microsatellite loci. Paternity analysis and the indirect KinDist and Mixed Effect Mating models were used to assess mating patterns, the pollen dispersal kernel, the effective number of males (Nep) and their relative individual fertility, as well as the existence of fine-scale spatial genetic structure in adult plants. All methods showed extensive pollen movement, with high rates of pollen flow from outside the study site (up to 73-93%), fat-tailed dispersal kernels and large average pollination distances (δ = 229-412 m). However, they also agreed in detecting very few pollen donors (Nep = 4.3-10.2) and a large variance in their reproductive success: 70% of males did not sire any offspring among the studied female plants and 5.5% of males were responsible for 50% of pollinations. Although we did not find reduced levels of genetic diversity, the adult population showed high levels of biparental inbreeding (14%) and strong spatial genetic structure (Sp = 0.012), probably due to restricted seed dispersal and scarce safe sites for recruitment. Overall, limited seed dispersal and the scarcity of successful pollen donors can be contributing to generate local pedigrees and to increase inbreeding, the prelude of genetic impoverishment.

Full text

Ex ensi e Pollen Flow bu Few Pollen Dono s and High Rep oduc i e Va iance in an Ex emely F agmen ed Landscape Ra ael G. Albaladejo 1 * . , Bea iz Guzma ´n 1. , San iago C. Gonza ´lez-Ma ı ´nez 2 , Abela do Apa icio 1 1Depa men o Plan Biology and Ecology, School o Pha macy, Uni e si y o Se ille, Se ille, Spain, 2Depa men o Fo es Ecology and Gene ics, CIFOR-INIA, Mad id, Spain Abs ac Analysing pollen mo emen is a key o unde s anding he ep oduc i e sys em o plan species and how i is in luenced by he spa ial dis ibu ion o po en ial ma ing pa ne s in agmen ed popula ions. He e we in e pa ame e s ela ed o le els o pollen mo emen and di e si y o he e ec i e pollen cloud o he wind-pollina ed sh ub Pis acia len iscus ac oss a highly dis u bed landscape using mic osa elli e loci. Pa e ni y analysis and he indi ec KinDis and Mixed E ec Ma ing models we e used o assess ma ing pa e ns, he pollen dispe sal ke nel, he e ec i e numbe o males (N ep ) and hei ela i e indi idual e ili y, as well as he exis ence o ine-scale spa ial gene ic s uc u e in adul plan s. All me hods showed ex ensi e pollen mo emen , wi h high a es o pollen low om ou side he s udy si e (up o 73–93%), a - ailed dispe sal ke nels and la ge a e age pollina ion dis ances (d= 229–412 m). Howe e , hey also ag eed in de ec ing e y ew pollen dono s (N ep = 4.3–10.2) and a la ge a iance in hei ep oduc i e success: 70% o males did no si e any o sp ing among he s udied emale plan s and 5.5% o males we e esponsible o 50% o pollina ions. Al hough we did no ind educed le els o gene ic di e si y, he adul popula ion showed high le els o bipa en al inb eeding (14%) and s ong spa ial gene ic s uc u e (S p = 0.012), p obably due o es ic ed seed dispe sal and sca ce sa e si es o ec ui men . O e all, limi ed seed dispe sal and he sca ci y o success ul pollen dono s can be con ibu ing o gene a e local pedig ees and o inc ease inb eeding, he p elude o gene ic impo e ishmen . Ci a ion: Albaladejo RG, Guzma ´n B, Gonza ´lez-Ma ı ´nez SC, Apa icio A (2012) Ex ensi e Pollen Flow bu Few Pollen Dono s and High Rep oduc i e Va iance in an Ex emely F agmen ed Landscape. PLoS ONE 7(11): e49012. doi:10.1371/jou nal.pone.0049012 Edi o : Gio anni G. Vend amin, CNR, I aly Recei ed June 1, 2012; Accep ed Oc obe 3, 2012; Published No embe 12, 2012 Copy igh : ß2012 Albaladejo e al. This is an open-access a icle dis ibu ed unde he e ms o he C ea i e Commons A ibu ion License, which pe mi s un es ic ed use, dis ibu ion, and ep oduc ion in any medium, p o ided he o iginal au ho and sou ce a e c edi ed. Funding: This s udy has been unded by g an s o he ’Jun a de Andalucı ´a’ (P oyec o de Excelencia P06-RNM-01499) and he Spanish Minis e io de Ciencia e Inno acio ´n (CGL2008–00938) o AA. The unde s had no ole in s udy design, da a collec ion and analysis, decision o publish, o p epa a ion o he manusc ip . Compe ing In e es s: The au ho s ha e decla ed ha no compe ing in e es s exis . * E-mail: [email p o ec ed] .These au ho s con ibu ed equally o his wo k. In oduc ion I is a gene al asse ion ha gene ic d i comp omises he e olu iona y po en ial and long- e m su i al o agmen ed popula ions h oughou inb eeding dep ession and educed e- sponse o selec ion [1,2]. Consequen ly, de e mining in agmen- a ion s udies he spa ial scale a which gene low is ope a ing becomes essen ial since ecological and gene ic isola ion o popula ions may no coincide. Indeed, many empi ical s udies ha e shown, o example, ha impac s o habi a agmen a ion on plan ma ing sys ems a e con ex -dependen and ha habi a agmen a ion can e en inc ease pollina ion dis ances (i.e. gene dispe sal) unde speci ic ci cums ances [3,4]. Fo he pa icula case o ees, which a e candida es o long-dis ance dispe sal bo h in space and ime [5], he ealised lack o conco dance be ween heo e ical expec a ions and empi ical e idences aised he so- called ‘pa adox o o es agmen a ion gene ics’ [6] and he claim o s udies ha ocus gene dispe sal and he p ecise spa ial and empo al (o sp ing) scale ha in luences he species ep oduc i e ecology [7]. Pollen low is a main sou ce o gene ic a ia ion among popula ions. Ne e heless, o small and agmen ed popula ions no only he sou ce o o igin bu he composi ion (i.e. di e si y) o con ibu ing pollen pool is equally impo an [7]. Hence, analysing pollen mo emen s along wi h he di e si y o he e ec i e pollen cloud is a key o unde s anding shi s in plan ma ing sys ems associa ed o he pa icula spa ial dis ibu ion o po en ial ma ing pa ne s bo h wi hin and among agmen ed popula ions [8]. Fac o s such as he numbe o pollen dono s con ibu ing o he e ec i e pollen cloud and he male ep oduc i e a iance (i. e. how di e en male ep oduc i e success is ac oss indi iduals) a e highly ele an o delinea e he gene ic composi ion and pe o mance o he nex gene a ion. High a iance in he ep oduc i e success o indi idual plan s can enhance agmen a ion e ec s by u he educing he numbe o pa ne s a ailable o ma ing [9]. Pis acia len iscus L. (Anaca diaceae) is a common sh ub o (mo e a ely) a small ee ha is abundan in he Medi e anean scle ophyllous ege a ion. Li e his o y ai s o his species esemble, o some ex en , hose o la ge ees (i.e. long-li ed, ou c osse , la ge pollen and seed c ops, high po en ial o pollen and seed dispe sal). Fu he mo e, he species can be ound om almos con inuous monospeci ic s ands in o es unde s o ies o small clumps in open habi a s and e en isola ed indi iduals; hence P.len iscus cons i u es a sui ed case s udy o analyse pollina ion PLOS ONE | www.plosone.o g 1 No embe 2012 | Volume 7 | Issue 11 | e49012 biology, ma ing sys em and ine-scale popula ion gene ic s uc u e in a agmen a ion con ex . In a p e ious s udy pe o med in a la ge, dense and con inuous s and o P. len iscus, Albaladejo e al. [10] ound ha he species was cha ac e ized by (i) high gene ic di e si y o he e ec i e pollen cloud, (ii) low le els o bipa en al inb eeding, and (iii) no signs o ine-scale spa ial gene ic s uc u e (SGS), al oge he a ibu able o ex ensi e pollen (and seed) dispe sal ac oss he s and. Bu , om nume ical simula ions based on he obse ed da a, he au ho s also o esaw ha popula ion a i ion and clumping o indi iduals (a common si ua ion o his and many o he maquis’ species ac oss he Medi e anean) could e en ually educe he numbe o males a ailable o ma ing and esul in a ela i ely high p opo ion o ull-sibs wi hin ma e nal p ogeny a ays (i.e. highe le els o co ela ed pa e ni y). In he p esen s udy, we ocus on indi idual plan s o P. len iscus embedded in an in ensi ely managed ma ix. Ou main goal is o assess he pollina ion biology o P.len iscus by s udying he pollina ion connec i i y bo h in quan i y and di e si y ac oss his highly dis u bed landscape and compa e he esul s wi h hose ob ained in con inuous popula ions. Speci ically, we add ess (i) he spa ial pa e ns o pollen low in he s udy si e, (ii) he shape o he e ec i e pollen dispe sal dis ibu ion (i.e. he dispe sal ‘ke nel’) assessed by bo h di ec and indi ec me hodologies, and (iii) he sou ce di e si y o success ul ma es ( a es o bipa en al inb eeding, e ec i e numbe o a he s and male ep oduc i e a iance). Fu he , we expec o ind, (i ) lowe le els o gene ic di e si y and a s onge pa e n o spa ial gene ic s uc u e o he adul popula ion, and ( ) highe le els o bipa en al inb eeding and wi hin-mo he s co ela ed pa e ni y compa ed o con inuous popula ion due o no iceable long- e m e ec s o agmen a ion. Ma e ials and Me hods S udy Species Pis acia len iscus is an e e g een long-li ed sh ub ( e y a ely a small ee up o 4 m in heigh ) ep esen a i e o he woody plan species in he Medi e anean. The species is dioecious (i.e. obliga e ou c osse ) and wind-pollina ed, wi h a na ow lowe ing pe iod in he s udied a ea which spans om mid-Ma ch o la e Ap il (S. No a, RG. Albaladejo and A. Apa icio, unpublished esul s). F ui s, which a e small black one-seeded d upes, ipe om Sep embe o Decembe when hey a e ac i ely consumed by a wide a ay o small o mid-size bi ds, many o hem mig a o y [11]. The species is no p o ec ed by law and pe mission o collec plan ma e ial was ob ained om he Conseje ı ´a de Medio Ambien e (Andalusian Regional Go e nmen ). S udy Landscape and Sampling The lowe ca chmen o he Guadalqui i i e (sou he n Spain) is a ‘ elic ual’- ype ag icul u al landscape (sensu McIn y e & Hobbs [12]) cha ac e ized by e y low habi a e en ion (na u al o semi- na u al woodlands co e s only ca. 1% o i s po en ial a ea), low connec i i y be ween agmen s and a high deg ee o an h opiza- ion [13]. He e, as s udy si e we chose a ec angula a ea o ca. 70 ha (1000 6700 m) (c. U e a, 37u11’37’’N, 05u51’31’’W) embedded in a highly an h opogenic a ea de o ed o ca le ising, ce eal ields, ineya ds, oli e ees and sca e ed plan a ions o Eucalyp us globulus Labill. The s udy si e i sel is also a highly dis u bed si e (Fig. 1A, B) whe e only ca. 9.5 ha (,14% o he a ea) co espond o emnan s o he o iginal co k-oak (Que cus sube L.) ege a ion and sca e ed clumps o Pis acia len iscus,My us communis L., Que cus cocci e a L. and Re ama sphae oca pa (L.) Boiss. We chose his si e because (1) he a ea is ep esen a i e o he cu en ege a ion ound in highly-humanized Medi e anean landscapes, (2) he numbe o bushes o P. len iscus was la ge enough o gua an ee he ep esen a i eness o he s udy, (3) e e y indi idual plan could be accessed and iden i ied wi h ease and (4) ou side he s udy si e no dense clump o s and o P. len iscus exis s in se e al km a ound (only sca e ed bushes can be ound elsewhe e). Whe e necessa y, he landowne s au ho ized access o p i a e a eas. Wi hin he s udy si e we pe o med a consequen ial sea ch and iden i ied 514 ep oduc i e plan s o P. len iscus, 350 emales and 164 males ( emale-biased sex a io, x 2 = 34.79, d = 1, P,0.001). In Oc obe 2007, we selec ed 29 mo he plan s dis ibu ed h oughou he si e (mean 6SD among-mo he dis ance 425 m 6237 m, ange 5–914 m; Fig. 1B) om which we collec ed a mean (6SD) numbe o ully ma u e black ui s o 69.6659.3 ( ange 36–306) di ec ly om all o e he plan c owns. O e all, we collec ed 2014 ui s and he exis ence o a iable seed inside was e i ied by sinking hem in wa e . Because many black ui s also con ained abo ed emb yos, he inal p ogeny a ay consis ed o 690 seeds a ailable o gene ic analysis, wi h a mean (6SD) numbe o seeds pe mo he plan o 24 (64). Young lea es o all 164 P.len iscus ep oduc i e males in he s udy si e and he 29 mo he plan s we e also collec ed and kep d ied in silica-gel un il DNA isola ion. All he s udied plan s we e geo e e enced. DNA Isola ion and Geno yping We isola ed o al genomic DNA om seeds and adul plan s wi h he In iso b DNA Plan HTS 96 Ki (In i ek, Be lin-Buch, Ge many) acco ding o he manu ac u e ’s p o ocol. We ampli ied se en unlinked polymo phic nuclea mic osa elli e loci ollowing ampli ica ion condi ions and PCR cycle p o iles p o ided in Albaladejo e al. [14]. Ampli ied p oduc s we e luo escen ly labelled, wi h 6-FAM, NED, VIC o PET, and analysed on an ABI 3730 DNA Analyze (PE Applied Biosys ems, Fos e Ci y, CA, US). Finge p in p o iles we e au oma ically sco ed wi h he so wa e GeneMappe .3.7 (PE Applied Biosys ems, Fos e Ci y, CA, US) and isually inspec ed o co ec ions. All seeds we e success ully geno yped o a leas i e loci each. Pollen Flow and Shape o he Pollen Dispe sal Dis ibu ion The pollen mo emen among indi idual plan s wi hin he s udy si e was assessed using pa e ni y analyses o assign each seed o i s mos -likely a he by he maximum likelihood app oach imple- men ed in Famoz [15]. Con idence in pa e ni y assignmen s was ob ained by compa ing he dis ibu ion o he loga i hm o he odd a ios (LOD sco es) o he mos -likely a he s o 50000 syn he ic seeds wi h hei a he chosen among he 164 po en ial males, o he dis ibu ion o LOD sco es o he mos -likely a he o 50000 seeds whose pa e nal geno ype was andomly gene a ed acco ding o e e ence popula ion allele equencies. In wind-pollina ed species, le els o pollen immig a ion can be high [16], so ex ac ing allele equencies om he local male popula ion can be mis- leading since he ac ual b eeding popula ion migh be much la ge . Then, we ex ac ed he e e ence allele equencies om he bigge sample o 690 seeds, a e sub ac ing he ma e nal con ibu ion ollowing Ha dy e al. [17]. Th eshold alue o ejec ing a candida e male as a ue a he was TF = 5.50 (i.e. he alue a he in e sec ion o he wo LOD sco e dis ibu ions [15]. Since we a e mos ly in e es ed in desc ibing pa e ns o pollen low a he han minimizing Type I e o s in he assigning o seeds o speci ic a he s, he geno yping e o was se o ze o o a oid inc easing assignmen e o [18]. The inb eeding coe icien (F) was se o 0.152, he alue es ima ed o he adul popula ion (see Resul s). A e unning he analysis we placed each analysed seed Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 2 No embe 2012 | Volume 7 | Issue 11 | e49012 in o one o he ollowing h ee ca ego ies: (i) no compa ible a he in he s udy si e (i.e. he minimum bound o incoming pollen low a e), (ii) a leas one compa ible a he bu wi h a LOD sco e ,TF, and (iii) one o mul iple candida e a he s wi hin he si e wi h aLOD sco e .TF. In he la e case, we assigned pa e ni y o he spa ially closes male. We belie e ha he po en ial bias in oduced by his p ocedu e is negligible because mos ies in ou da ase occu ed be ween gene ically ela ed neighbou ing males. To check whe he ma ing success was a me e unc ion o he spa ial posi ion o males and emales (i.e. ‘ la ’ dispe sal ke nel), we compa ed he obse ed equency dis ibu ion o ma ing e en s wi h i s po en ial dis ibu ion (conside ing all 4756 possible ma ing e en s be ween he 164 male and 29 emale plan s) using a Kolmogo o -Smi no es . We also e alua ed he di ec ionali y (i.e. iso opic s. aniso opic) o his dis ibu ion [19] wi h ega d o he di ec ion o he p e alen winds du ing he lowe ing pe iod (15 h Ma ch o 31s Ap il). Wind da a we e aken om he nea es Figu e 1. Ae ial pho og aphy o he s udy si e (black squa e) embedded in a highly an h opogenic a ea (A). Close up o he s udy si e showing he 164 ep oduc i e Pis acia len iscus males (whi e ci cles) and he 29 mo he plan s (whi e iangles) sampled o ma ing and pa e ni y analyses (B). Ne wo k o e ec i e pollina ion e en s de ec ed be ween males (do s) and emales ( iangles) in he pa e ni y analysis (C). Red do s in panel B ma k he posi ion o males si ing a leas ou seeds (see ex o de ails). doi:10.1371/jou nal.pone.0049012.g001 Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 3 No embe 2012 | Volume 7 | Issue 11 | e49012 clima ic s a ion (‘Los Palacios y Villa anca’; 37u10’49’’N, 05u56’15’’W) a simila al i ude and clima ic condi ions (da a a ailable a h p://www.jun adeandalucia.es/ag icul u aypesca/ i apa). Di ec ional equency his og ams o he dis ibu ion o obse ed and po en ial ma ing, and p e ailing wind di ec ion we e compa ed h ough Wa son’s U 2 - es using he R package ci cula [20]. The shape o he e ec i e pollen dispe sal cu e was cha ac- e ized using wo di e en indi ec me hods. Fi s ly, we use he KinDis app oach [21], which is based on he expec ed decay o co ela ed pa e ni y among ma e nal pai s wi h dis ance, and p o ides minimum squa ed-e o es ima es o he scale (a) and shape (b) pa ame e s o he powe -exponen ial dispe sal unc ion as well as he a e age e ec i e pollina ion dis ance (d) de i ed om i [22]. The pa ame e bcon ols he ail o he dis ibu ion so ha b,1 p o ides a - ailed dispe sal unc ions (which can be e accoun o long-dis ance pollen dispe sal e en s) while b.1 p o ides hin- ailed unc ions. In ou case, we i s checked ha among-mo he s co ela ed pa e ni y signi ican ly dec eased wi h (log) dis ance (Pea son =20.125; P= 0.012, Figu e S1) and hen se a h eshold dis ance o un ela ed pollen clouds o 300 m. This analysis was ca ied ou using Poldisp .1.0c so wa e [23]. Secondly, we used he Bayesian Mixed E ec Ma ing model [9] which es ima es no only he shape pa ame e o he powe - exponen ial unc ion, bu also join ly assesses sel ing (s) and immig a ion a es (m), he a io be ween obse ed and e ec i e male densi y (d obs /d ep ) and, ema kably, he ela i e indi idual ecundi y o each male (see below) in he s udy si e. We used he ollowing minimum and maximum alues as p io in o ma ion: d obs /d ep = 1, 150; d= 50, 1500; b= 0.1, 10; and m= 0.4, 0.95. Because P. len iscus is dioecious, we se o ze o he p io alues o s. Since he analysis equi es om e e ence ou side allele equen- cies o he calcula ion o he immig a ion a e (see eq. 6 in Klein e al. [9]), we used he allele equencies ob ained om he se o 569 seeds o which no a he s wi hin he s udy si e could be con iden ly assigned (LOD sco e ,TF) a e he Famoz analysis. The analysis was un o 100000 i e a ions plus an ini ial bu n-in pe iod o 20000 i e a ions. We also included a co a ia e in he analysis which epo s on he local en i onmen whe e each male was loca ed in he s udy si e (simila o he neighbou hood densi y in [24]) ollowing h ee ca ego ies o dec easing neighbou hood densi y: (1) unde a dense canopy o co k oak o eucalyp us ees, (2) in spa se sh ublands wi h no ees in he canopy, and (3) in linea hedges. This analysis was pe o med wi h he so wa e MEMM 1.1 [9]. Ma ing Sys em, E ec i e Densi y o Pollen Dono s and Male Rep oduc i e Va iance Bipa en al inb eeding (i.e. he ma ing be ween close ela i es; m - s ) was calcula ed wi h he so wa e MLTR 3.3 [25] om he mul ilocus ( m ) and single locus ( s ) ou c ossing a es es ima ed h ough he New on-Raphson algo i hm. We assessed m - s s a is ical signi icance by compa ing 1000 boo s ap alues o m s. s by means o S uden ’s pai ed - es s. Boo s ap eplica es we e done wi h esampling o amilies. Wi hin-mo he co ela ed pa e ni y ( p ) was calcula ed as wice he a e age pai wise kinship coe icien F ij [26] be ween pa e nal genes o seed pai s. To check whe he he composi ion o p ogeny a ays, measu ed as he p opo ion o ull sibs wi hin ma e nal amilies, was a di ec consequence o he local en i onmen o emales, we co ela ed indi idual wi hin-mo he p alues agains he dis ance o he nea es male and o he nea es h ee and i e males, espec i ely. The e ec i e numbe o pollen dono s o he sampled mo he s in he s udy si e (N ep ) was deduced as p 21 . We compa ed his esul wi h he N ep alue de i ed om he mean alue o he d obs /d e p obabili y densi y unc ion ob ained om he MEMM analysis. Male ep oduc i e success in he s udy si e was es ima ed di ec ly om he pa e ni y analysis wi h Famoz and wi h he MEMM so wa e. In he Mixed E ec Ma ing model, male ela i e ecundi ies a e modelled as andom e ec s unde a Bayesian amewo k. We an wo analyses assuming indi idual male ecundi y o ollow ei he a log-no mal o a gamma dis ibu ion [9]. Gene ic Di e si y and Spa ial Gene ic S uc u e (SGS) o Adul s Fo he adul plan s (29 emales and 164 males), we also calcula ed single-locus desc ip i e di e si y pa ame e s using Fs a .2.9.3.2 [27], including he numbe o alleles (A), he expec ed he e ozygosi y (H e ) and he inb eeding coe icien ( ). Depa u e om Ha dy-Weinbe g (HW) equilib ium was assessed by means o a Ma ko Chain-based exac es using Genepop .4 [28] unde de aul se ings (10000 dememo iza ion s eps, 20 ba ches and 5000 i e a ions pe ba ch). Null allele equencies we e also es ima ed wi h Genepop .4. We analysed he exis ence o SGS in he adul s by eg essing he pai wise kinship coe icien s (F ij ) be ween indi iduals on he loga i hm o he spa ial dis ance as co esponding o a bidimen- sional space [29]. The signi icance o SGS was ob ained by compa ing he obse ed eg ession slope wi h ha ob ained om andomly pe mu ing (1000 imes) he spa ial loca ion o he adul indi iduals [30]. Pa e ns o SGS we e isualized by cons uc ing a co elog am plo ing he a e age F ij alues in o dis ance classes. To allow a di ec compa ison wi h he con inuous popula ion s udied by Albaladejo e al. [10] we es ic ed he analysis o same maximal dis ance (460 m) and cons uc ed he same 10 dis ance classes. App oxima e 95% con idence in e als (CI) we e calcu- la ed o he F ij alues as wice he s anda d e o (SE) ob ained by jackni ing o e loci. The in ensi y o he SGS was also quan i ied by he S p s a is ic, a dimensionless pa ame e use ul o pe o m compa isons be ween species and popula ions [30]. S p is calcula ed as b-log/(F (1) 21), whe e F (1) is he mean F ij among indi iduals pai s in he i s dis ance class and b-log is he slope o he co elog am. All SGS analyses we e pe o med wi h he so wa e SPAGeDi .1.2 [31]. Resul s Pollen Flow and Shape o he Pollen Dispe sal Dis ibu ion The cumula ed exclusion p obabili y (when he mo he is known) o he se en mic osa elli e loci used was 0.995, suppo ing he sui abili y o ou da ase o conduc a pa e ni y analysis (see Table 1). The es ima ed equencies o null alleles we e on a e age low, only mode a e ($0.150) o he loci Pislen 114 and Pislen R05 (Table 1). Ou o he 690 geno yped seeds, 121 (17.5%) had a leas one candida e a he wi h a LOD sco e .TF. Addi ionally, 63 seeds (9.1%) had a leas a compa ible a he bu wi h a LOD sco e below he h eshold equi ed o a con iden assignmen . This esul means ha a minimum o 73.3% and a maximum o 82.4% o he seeds we e si ed by a he s loca ed ou side ou s udy si e. The pa e ni y analysis also de ec ed high connec i i y wi hin he s udy a ea (Fig. 1C). The mean (6SD) dispe sal dis ance o he 121 con iden ly assigned male-o sp ing pai s was 412 m (6276) ( ange 9–970 m) wi h abou 50% o he seeds being si ed by a he s loca ed mo e han 370 m apa . The success o ma ing e en s was no a me e unc ion o he spa ial dis ibu ion o males Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 4 No embe 2012 | Volume 7 | Issue 11 | e49012 and emales since he obse ed ma ing equency dis ibu ion was signi ican ly di e en om he po en ial dis ibu ion (K-S d= 0.280; P,0.001). In spi e o he la ge dis ance o he obse ed ma ings, hese occu ed a dis ances sho e han expec ed (Fig. 2). Thus, si ing e en s we e no p oduced a andom wi h ega d o among-ma es dis ance. Mos pollina ion e en s ook place in he S-N di ec ion (Fig. 3A) acco ding o he ela i e spa ial a angemen o males and emales sampled in he plo (Fig. 3B). Du ing he blooming phase, p e ailing winds occu ed in N-E and S-W di ec ions (Fig. 3C). The obse ed di ec ional dis ibu ion o ma ing e en s was signi ican ly di e en om bo h he expec ed andom dis ibu ion conside ing spa ial posi ion o males and emales alone (U 2 - es = 0.432; P,0.001) and he one o p e ailing winds du ing he lowe ing pe iod (U 2 - es = 0.252; P,0.05). In e es ingly, he obse ed dis ibu ion was a somewha combined dis ibu ion conside ing bo h he spa ial posi ion and wind di ec ion. The KinDis analysis success ully i ed a powe -exponen ial unc ion o he da a and p o ided poin es ima es o he scale and shape pa ame e s o a= 2.8 10 24 and b= 0.16, as well as an a e age e ec i e dispe sal dis ance o d= 268.5 m. No mal, geome ic o exponen ial unc ions showed a poo e i based on he leas -squa e esiduals ( esul s no shown). The mean condi ional log-likelihood o he wo uns wi h MEMM, ei he assuming a log-no mal o gamma dis ibu ion o indi idual male ecundi y, we e 28145 and 28138 espec i ely; an app oxima e Bayes ac o , compu ed as he a io o he es ima ed likelihoods, s ongly suppo ed he model wi h he gamma dis ibu ion (BF <1097; alues abo e 100 a e usually conside ed as decisi e o suppo one model agains he al e na i e [32]). Consequen ly, we show he e only he esul s o he second un (gamma dis ibu ion). Rega ding he i ed unc ion, he Mixed E ec s Ma ing model p o ided simila esul s o he KinDis app oach, wi h mean alues (and 95% c edibili y in e als) o he pos e io dis ibu ion o b= 0.19 (0.10–0.46) and d= 229 m (52– 1069 m). Addi ionally, he immig a ion a e es ima ed by MEMM was e y high, m= 0.937 (0.915–0.949), which suppo s he esul s o he di ec pa e ni y analysis. Ma ing Sys em, E ec i e Densi y o Pollen Dono s and Male Rep oduc i e Va iance In he s udy si e, we ound a highly signi ican di e ence be ween mul ilocus and single-locus ou c ossing a es ( m = 0.999 s. s = 0.856; S uden ’s = 94.466, P,0.001), indica ing ha abou 14% o ma ings occu ed be ween gene ically ela ed plan s. Indi idual wi hin mo he co ela ed pa e ni y showed a signi ican nega i e co ela ion wi h he (log)dis ance o he nea es male (Pea son =20.382, P= 0.041) bu his end anished and became non-signi ican when e e ed o he a e age dis ance o he nea es h ee and i e males ( =20.308, P= 0.104 and =20.297, P= 0.118). The a e age wi hin mo he co ela ed pa e ni y calcula ed om kinship coe icien s was also high ( p = 0.231) indica ing ha in a e age abou 23% o seeds in a gi en mo he plan we e si ed by he same a he . This alue ansla es in o an e ec i e numbe o a he s N ep = 4.3. The Mixed E ec s Ma ing model p o ided a pos e io mean alue (95% c edibili y in e al) o he a io d obs /d e = 16 (2.7–45) which Table 1. Gene ic di e si y pa ame e s o Pis acia len iscus adul plan s geno yped a se en mic osa elli e loci. Locus A H e Null Exc Pislen 21 14 0.820 0.204*** 0.090 0.684 Pislen 114 6 0.704 20.067** 0.178 0.497 Pislen 333 18 0.883 0.249*** 0.112 0.745 Pislen 501 10 0.774 0.210*** 0.097 0.587 Pislen 510 15 0.779 0.189*** 0.085 0.609 Pislen 526 3 0.432 0.010 ns 0.006 0.180 Pislen R05 3 0.212 0.205** 0.150 0.079 O e all 69 0.658 0.152*** – 0.995 **P,0.01; ***P,0.001; ns no signi ican . Numbe o alleles (A), expec ed he e ozigosi y (H e ), Wei and Cocke ham’s (1984) inb eeding coe icien ( ), null allele equency (Null) and exclusion p obabili y o pa e ni y analysis (Exc). doi:10.1371/jou nal.pone.0049012. 001 Figu e 2. F equency his og ams o e ec i e pollina ion dis ances (black ba s) es ima ed ia pa e ni y analysis and pai wise dis ances be ween males and he sampled mo he plan s (whi e ba s). doi:10.1371/jou nal.pone.0049012.g002 Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 5 No embe 2012 | Volume 7 | Issue 11 | e49012 co esponded o a N ep alue o 10.2 (3.6–60.7) acco ding o he obse ed census o males (N obs = 164) in he s udy si e. Based on he pa e ni y analysis, male ep oduc i e success was highly lep oku ic since 114 ou he 164 males (70%) did no si e any seed in any o he 29 emales sampled wi hin he s udy a ea. Only nine a he s (5.5%) we e esponsible o nea ly 50% o he assignmen s ( ed do s in Fig. 1B), each o hem si ing ou o mo e seeds and one a he si ing 15 seeds. These esul s we e conco dan wi h hose ob ained om he MEMM analysis, es ima ed join ly wi h he dispe sal pa ame e s, which e ealed e y ew males wi h a e y high ecundi y ela ed o a majo i y o males wi h a poo ep oduc i e con ibu ion. Fecund males we e spa ially loca ed in spa se sh ublands and linea hedges while none occu ed unde a dense ee canopy (Fig. 4). Gene ic di e si y and ine-scale SGS o adul s. Gene ic di e si y o P. len iscus was ela i ely high (A= 69, H e = 0.658). Howe e , mos loci showed a signi ican excess o homozygo es (Table 1). The o e all slope o he co ela ion be ween pai wise kinship and (log) dis ance was highly signi ican (b-log = 20.0117; P,0.001) indica ing ha gene ically ela ed adul indi iduals we e agg ega ed ac oss he space. The co elog am e ealed a sha p decline in he kinship coe icien s wi h dis ance, wi h signi ican posi i e a e age F ij in he i s h ee dis ance classes, which ex ended h ough a dis ance o app oxima ely 85 m (Fig. 5). The calcula ed alue o he S p s a is ic was 0.0122. Discussion Long e m iabili y o popula ions elies on main aining adequa e le els o gene ic a ia ion and gene low [1]. Conse- quen ly, a conside able esea ch ac i i y on he mechanisms o dispe sal o pollen and seeds and i s gene ic and demog aphic consequences has been de eloped in ecen decades [33]. F om a conse a ion and landscape gene ics pe spec i e, analyzing pa e ns o pollen dispe sal in dispa a e landscapes should allow isualizing hose shi s in he pollina ion biology pa e ns o species ha could ul ima ely os e inb eeding dep ession, gene ic impo e ishmen and popula ion di e gence. Pollen Flow Ou analyses p o ided compelling e idence ha pollen mo e- men in he s udied a ea was ex ensi e, no only wi hin he s udy si e, bu also om ou side: be ween 73–93% (depending on he me hod) o he sampled seeds we e si ed by incoming pollen low. Admi edly, we igno e he ac ual loca ion o he male plan s ha con ibu ed so ema kably as pollen dono s, bu we belie e ha hey mus p obably be loca ed in p i ileged posi ions (see below) in he icini y o he s udy si e, despi e only sca e ed bushes and e y small clumps o P. len iscus can be ound in he su oundings. The closes ela i ely la ge popula ion o he species is loca ed en kilome es eas wa ds bu can p obably be uled ou as a sou ce o pollen in ou da a se gi en he es ima ed low numbe s o e ec i e pollen dono s ound o single mo he s. Indeed, i incoming pollen was o igina ed in a la ge popula ion, hen, many di e en a he s would be expec ed o con ibu e o single mo he s, inc easing N ep es ima es. The e o e, despi e he s udy si e appea s emo e and Figu e 3. Wind ose pe cen age equency his og ams o (A) he di ec ion o ma ing e en s de ec ed in he pa e ni y analysis, (B) he di ec ion o andom po en ial ma ing e en s (i.e. jus condi ioned by he spa ial loca ion o males and emales), and (C) he di ec ion o winds du ing he lowe ing season. doi:10.1371/jou nal.pone.0049012.g003 Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 6 No embe 2012 | Volume 7 | Issue 11 | e49012 disconnec ed, ou esul s highligh he cohesi e ole ha neglec ed small ege a ion pa ches o isola ed indi iduals may play in highly agmen ed landscapes [34], pa icula ly i high e ec i e pollen dispe sal is inhe en o he ep oduc i e biology o he species. In ag eemen , bo h he di ec and indi ec me hods ha we used indica ed la ge a e age pollina ion dis ances, al hough he es ima es a ied somehow ac oss he me hods. The pa e ni y analysis, which is cons ic ed by he p ecise spa ial dis ibu ion o sampled emale plan s (gi en ha no all emale plan s we e sampled), p o ided an es ima e o abou 400 m, well abo e he mean dispe sal dis ance in e ed h ough di ec me hods o wind- pollina ed species [35]. Bo h indi ec ma ing models (KinDis and Klein’s mixed e ec model) showed an a e age dispe sal dis ance abo e 200 m, which is also a compa a i ely high es ima e (e.g. [36]). This la e is pe haps a mo e ealis ic es ima e because he i ing o dispe sal ke nels p o ides a mo e gene al pic u e o pollen dispe sal pa e ns, as i pollen could land e e ywhe e [18,34]. A di ec compa ison wi h he pollen dispe sal ke nel in a p e iously-s udied con inuous popula ion [10] was no possible due o he weak gene ic s uc u e o he e ec i e pollen cloud in ha case, which did no allow o con e gence o model i ing algo i hms. Howe e , his esul sugges s pollen dispe sal ke nels in un agmen ed si ua ions o be e en la e han in agmen ed ones. Al hough we ha e shown ex ensi e pollen low in his agmen ed landscape he e is also an impo an componen o Figu e 4. Indi idual ela i e ecundi ies o he 164 Pis acia len iscus male plan s es ima ed using Klein’s Mixed E ec Ma ing model. Di e en shades e e o male plan s occu ing in di e en landscape ypologies: dense ee canopy (black), spa se sh ublands (g ey), and linea hedges (whi e). Ba s ep esen he 95% c edibili y in e als. doi:10.1371/jou nal.pone.0049012.g004 Figu e 5. A e age pai wise kinship coe icien s ( F ij ) o adul plan s plo ed agains spa ial dis ance in he s udied agmen ed landscape (ci cles) and in a p e iously-s udied la ge con inuous popula ion (squa es; eanalysed om [10]). E o ba s ep esen app oxima e 95% con idence in e als and emp y symbols mean hey a e signi ican ly di e en om he null hypo hesis o no spa ial s uc u e assessed ough pe mu a ion p ocedu es (1000 pe mu a ions). Symbols ha e been sligh ly sc olled o acili a e isualiza ion. doi:10.1371/jou nal.pone.0049012.g005 Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 7 No embe 2012 | Volume 7 | Issue 11 | e49012 es ic ed pollen dispe sal a local scales. Below 500 m, he pa e ni y analysis e eals mo e ma ings han expec ed a andom (see Fig. 2), which suppo he iew o pollen dispe sal in wind- pollina ed plan s o be cha ac e ized by a ac ion o sho dis ance pollina ions and ano he ac ion o pollina ions occu ing a la ge dis ances enla ging he ail o he pollen dispe sal dis ibu ion [35]. Assessing he di ec ional dis ibu ion o success ul ma ings is also impo an because i may de e mina e he numbe o si es a ailable o emale plan s. Ou sampling scheme esul ed in he e ogenei y in he di ec ional dis ibu ion o males and he sampled emales (wi h no hwa ds ma ings being clea ly a ou ed), which su ely is esponsible o he high p opo ion o ma ings in he S-N di ec ion we de ec ed (see Figs. 3A & B). In e es ingly, we also de ec ed ela i ely high le els o success ul ma ing e en s in he hi d (S-W) quad an , p obably in luenced by he S-W p e ailing winds du ing he blooming pe iod (see Figs. 3A & C). Many s udies ha e no de ec ed e ec s o egional winds on pollen dispe sal pa e ns (e.g. [37,38]). This disco dance migh indica e lack o po en ial males in a ou able wind di ec ions and/o ha pollen dispe sal is in luenced by localized wind pa e ns, only de ec able by placing me eo ological s a ions wi hin he s udy plo (an issue, howe e , ha seems no ele an in he la lands o ou s udy a ea). In addi ion, de ec ing clea aniso opic pollen dispe sal pa e ns in he sp ead o pollen clouds may be also a echnical issue since i equi es a g ea e geno yping e o (he e 29 mo he plan s and 690 o sp ing) han usual [19]. Ma ing Sys em and Male Rep oduc i e Success One aspec o he ep oduc i e ecology o plan s ha becomes c ucial in agmen ed popula ions is co ela ed pa e ni y ( he di e si y o a he s si ing p ogeny in a mo he ) because whe e spa ial connec i i y and he a ailabili y o sui able places o seed a i al and seedlings es ablishmen is educed, p ogeny a ays composed o ull-sibs can pe o m poo ly compa ed o hose composed o hal - o un ela ed sibs [39]. Mo eo e , i is expec ed ha popula ion a i ion and he spa ial clumping o pollen sou ces inc eases he p opo ion o ull-sibs in he annual c op o a emale plan [40], an ou come ha Albaladejo e al. [10] p edic ed o his species h ough nume ical simula ions. The e o e, i is e y impo an o s ess ha in ou s udy si e, we ha e ound abou six- old highe alues o co ela ed pa e ni y compa ed o he la ge, dense and con inuous s and o he same species s udied by Albaladejo e al. [10] (23% s. 3–8%, espec i ely). Besides high co ela ed pa e ni y, we ha e also ound a s ong a iance in male ela i e ecundi y since jus a ew males ha e copped a high p opo ion o all ma ing e en s. To explain his unbalance in male con ibu ions se e al easons ha e been adduced, among hem di e en ial quan i y o quali y o he pollen eleased [24], lack o synch ony in he blooming pe iod [41] and/o densi y depended e ec s. In ou case, males ha si ed a high numbe o o sp ing we e loca ed in a eas o low ege a ion densi y (see ed do s in Fig. 1) on spa se sh ublands o hedges, bu none unde a dense ee canopy (Fig. 2). In wind-pollina ed species pollen g ains eleased a he edge o ege a ion pa ches ha e less ae odynamic impedimen s o a el han hose eleased wi hin closed s ands [42]. In ag eemen wi h his obse a ion, densi y dependen ac o s and he a he ecological neighbo hood seem o be de e minan in ou s udy si e; ne e heless, we canno ule ou some e ec s om blooming synch ony and pollen quali y ac ing in conce . We ound signi ican le els o inb eeding in all bu one locus, which in his dioecious species can be explained by signi ican le els o bipa en al inb eeding. A ele an impac o null alleles was uled ou because hei es ima ed equency was in a e age low and because signi ican inb eeding was also de ec ed in he same popula ion wi h o he nuclea ma ke s [43]. Bipa en al inb eeding accoun ed o a mode a e po ion (14%) o he ma ing e en s, being p obably a s aigh consequence o he exis ence o signi ican SGS (see below) and o he ac ha ma ing we e mo e likely a sho dis ances han a andom (discussed abo e). Fu he , he p opo ion o ull-sibs wi hin mo he p ogeny a ays is signi ican ly highe as he dis ance o he nea es male dec eases which sugges some deg ee o monopoliza ion o some emales by hei closes male pollen cloud. Howe e , his in luence is spa ially e y es ic ed since only he ela ionship wi h he dis ance o he nea es male was signi ican . This nega i e ela ionship (albei weake ) was also ound in a p e iously-s udied con inuous popula ion bu only in one o he s udied seasons [10]. Gene ic Va ia ion and Fine-scale SGS o Adul s Despi e he ex eme dis u bance o he s udied landscape, gene ic di e si y o P. len iscus was ela i ely high and simila o ha o o he Medi e anean woody plan s, ei he in agmen ed popula ions o no [2], including ha ob ained in con inuous popula ions o he same species [10]. Indi idual longe i y, obliga e ou c ossing, high a es o pollen gene low and low popula ion gene ic di e en ia ion a he egional scale [43] seem o make his species esis an o an immedia e loss o allelic di e si y, simila ly o o he long-li ed woody plan s [44]. Finally, he S p alue (0.0122) is indica i e o a s ong pa e n o SGS, since i is oughly wice he ypical o wind-pollina ed (0.0064) o animal-dispe sed (0.0088) plan species [30], and mo e impo an , i is mo e han i e imes highe han he one ound o he same species in a p e iously-s udied la ge and con inuous popula ion whe e no signi ican pa e n o SGS was de ec ed (S p = 0.0022; ecompu ed om [10]). Besides he sca ci y o success ul pollen dono s, pa e ns o spa ial gene ic s uc u e a e also dependen on he e ec i eness o seed dispe sal. Despi e a wide a ay o bi d species eeds on ui s o P. len iscus [11], in ou pa icula s udy sys em he ecological condi ions a e p obably limi ing seed dispe sal and ec ui men (i.e. i he e a e e y ew sui able sa e si es, dispe se s would no each dis an sa e si es, and mos seeds would be dispe sed om only a ew mo he plan s [45]). Ex eme an h opogenic p essu e can es ic sa e mic osi es o ec ui men jus below he canopy o mo he plan s, os e ing he o ma ion o gene ic pedig ees and ma e nal and pa e nal co ela ions (i. e. he p obabili y o sha ing pa en al plan s) in he seed ain. Conclusions The eal impac o an h opiza ion on he iabili y and pe o mance o na u al plan popula ions is s ill con o e sial. So a , ideal expe imen al designs unde a agmen a ion gene ics pe spec i e a e e y di icul o mee in na u e. Mo eo e , o assess he ac ual scale o gene dispe sal (pollen and/o seed) wi hin and among plan popula ions (especially o ees and long-li ed sh ubs) become essen ial o econcile he heo e ical and empi ical e idence [7]. Keeping his idea in mind, his is one o he sca ce s udies de o ed o assess pollen dispe sal and he shi s imposed by se e e an h opiza ion in he ma ing sys em o a long-li ed woody plan species. Speci ically, ou s udy illus a es he pa amoun impo - ance o small clumps o isola ed indi idual plan s in keeping gene ic connec i i y e en in, a i s glance, emo e and isola ed popula ions. Indeed, we ha e ound gene ic di e si y (numbe o alleles and he e ozygosi y) a le els ha , in he ligh o he ecological cha ac e is ics o he s udy si e, we e unexpec ed. Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 8 No embe 2012 | Volume 7 | Issue 11 | e49012 Ne e heless, we also ound ha mos male plan s did no si e a single seed om he s udied emale plan p ogenies and ha he ma ing sys em o P. len iscus was se e ely impac ed by agmen- a ion: compa ed o a la ge and con inuous popula ion [10], he highly-dis u bed popula ion s udied he e had inc eased bipa en al inb eeding, inc eased co ela ed pa e ni y (and dec eased numbe o pollen dono s) and highly signi ican spa ial gene ic s uc u e. No only he pollen cloud pe cei ed by emales is less di e se, bu also, due p obably o he sca ci y o sui ed places o ec ui men , he species is expe iencing he o ma ion o local pedig ees and inc eased inb eeding, he p elude o gene ic impo e ishmen . Suppo ing In o ma ion Figu e S1 Co ela ion be ween among mo he co ela ed pa e ni y (i.e. p opo ion o hal -sib among mo he s) agains he dis ance (a loga i hmic scale) among mo he s pai s. (PDF) Acknowledgmen s We hank he landowne s o pe mission o wo k in he a ea, E. Rubio and M. Leo´n o assis ance du ing ield and lab wo k, C. de Vega o help ul commen s on di e en e sions o he manusc ip and A. Se ano o e iewing he English s yle. Lab wo k was pa ially conduc ed a he Se icio de Biologı ´a Molecula o he Cen o de In es igacio´n, Tecnologı ´a e Inno acio´n (CITIUS) o he Uni e si y o Se ille. Au ho Con ibu ions Concei ed and designed he expe imen s: AA RGA. Pe o med he expe imen s: BG RGA. Analyzed he da a: SCGM BG RGA. W o e he pape : RGA BG AA. Re e ences 1. Young AG, Boyle T, B own T (1996) The popula ion gene ic consequences o habi a agmen a ion o plan s. T ends Ecol E ol 11: 413–418. 2. Jump AS, Pen˜uelas J (2006) Gene ic e ec s o ch onic habi a agmen a ion in a wind-pollina ed ee. P oc Na Acad Sci USA 103: 8096–8100. 3. Fo e´ SA, Hickey RJ, Nanka JL, Gu man SI, Schae e RL (1991) Gene ic s uc u e a e o es agmen a ion: a landscape ecology pe spec i e on Ace saccha um. Can J Bo 70: 1659–1668. 4. So k VL, Smouse PE, Apsi VJ, Dye RJ, Wes all RD (2005) A wo-gene a ion analysis o pollen pool gene ic s uc u e in lowe ing dogwood, Co nus lo ida (Co naceae) in he Missou i Oza ks. Am J Bo 92: 262–271. 5. Pe i RJ, Hampe A. (2006) Some e olu iona y consequences o being a ee. Ann Re Ecol E ol Sys 37: 187–214. 6. K ame AT, Ison JL, Ashley MV, Howe HF (2008) The pa adox o o es agmen a ion gene ics. Conse Biol 22: 878–885. 7. Bacles CFE, Jump A (2011) Taking a ee’s pe spec i e on o es agmen a ion gene ics. T ends Pl Sci 16: 13–18. 8. F anceschinelli EV, Bawa KS (2000) The e ec o ecological ac o s on he ma ing sys em o a Sou h Ame ican sh ub species (Helic e es b e ispi a). He edi y 84: 116–123. 9. Klein EK, Desassis N, Oddou-Mu a o io S (2008) Pollen low in he wild se ice ee, So bus o minalis (L.) C an z. IV. Whole in e indi idual a iance o male ecundi y es ima ed join ly wi h he dispe sal ke nel. Mol Ecol 17: 3323–3336. 10. Albaladejo RG, Gonza´lez-Ma ı ´nez SC, Heue z M, Vend amin GG, Apa icio A (2009) Spa io empo al ma ing pa e n a ia ion in a wind-pollina ed Medi e anean sh ub. Mol Ecol 18: 5195–5206. 11. Jo dano P (1989) P e-dispe sal biology o Pis acia len iscus (Anaca diaceae): cumula i e e ec s on seed emo al by bi ds. Oikos 55: 375–386. 12. McIn y e S, Hobbs R (1999) A amewo k o concep ualizing human e ec s on landscapes and i s ele ance o managemen and esea ch models. Conse Biol 13: 1282–1292. 13. Apa icio A (2008) Desc ip i e analysis o he ‘ elic ual’ Medi e anean landscape in he Guadalqui i Ri e alley (sou he n Spain): a baseline o scien i ic esea ch and he de elopmen o conse a ion ac ion plans. Biodi Conse 17: 2219–2232. 14. Albaladejo RG, Sebas iani F, Apa icio A, Buonamici A, Gonza´lez-Ma ı ´nez SC, e al. (2008) De elopmen and cha ac e iza ion o eigh polymo phic mic o- sa elli e loci om Pis acia len iscus L. (Anaca diaceae). Mol Ecol Res 9: 904–906. 15. Ge be S, Chab ie P, K eme A (2003) FAMOZ: a so wa e o pa en age analysis using dominan , codominan and unipa en ally inhe i ed ma ke s Mol Ecol No 3: 479–481. 16. Bacles CFE, Ennos RA (2008) Pa e ni y analysis o pollen media ed gene low o F axinus excelsio L. in a ch onically agmen ed landscape. He edi y 101: 368– 380. 17. Ha dy OJ, Gonza´lez-Ma ı ´nez SC, Colas B, F e´ ille H, Migno A, e al. (2004) Fine-scale gene ic s uc u e and gene dispe sal in Cen au ea co ymbosa (As e aceae). II. Co ela ed pa e ni y wi hin and among sibships. Gene ics 148: 1601–1614. 18. Oddou-Mu a o io S, Houo M-L, Demesu e-Musch B, Aus e li z F (2003) Pollen low in he wildse ice ee, So bus o minalis (L.) C an z. I. E alua ing he pa e ni y analysis p ocedu e in con inuous popula ions. Mol Ecol 12: 3427– 3439. 19. Aus e li z F, Du ech C, Smouse PE, Da is F, So k VL (2007) Es ima ing aniso opic pollen dispe sal: a case s udy in Que cus loba a. He edi y 99: 193–204. 20. Lund U, Agos inelli C (2007) Ci cula : Ci cula S a is ics. R package e sion 0.3–8. 21. Robledo-A nuncio JJ, Aus e li z F, Smouse PE (2006) A new me hod o es ima ing he pollen dispe sal cu e independen ly o e ec i e densi y. Gene ics 173: 1033–1045. 22. Cla k JS, Macklin E, Wood L (1998) S ages and spa ial scales o ec ui men limi a ion in sou he n Appalachian o es s. Ecol Monog 68: 213–235. 23. Robledo-A nuncio JJ, Aus e li z F, Smouse PE (2007) POLDISP: a so wa e package o indi ec es ima ion o con empo a y pollen dispe sal. Mol Ecol No 7: 763–766. 24. Oddou-Mu a o io S, Klein E, Aus e li z F (2005) Pollen low in he wildse ice ee, So bus o minalis (L.) C an z. II. Pollen dispe sal and he e ogenei y in ma ing success in e ed om pa en -o sp ing analysis. Mol Ecol 14: 4441–4452. 25. Ri land K (2002) Ex ensions o models o he es ima ion o ma ing sys ems using nindependen loci. He edi y 88: 221–228. 26. Loiselle BA, So k VL, Nason JD, G aham C (1995) Spa ial gene ic s uc u e o a opical unde s o y sh ub, Psycho ia o icinalis (Rubiaceae). Am J Bo 82: 1420– 1425. 27. Goude J (2002) Fs a 2.9.3.2: a compu e p og am o calcula e F-s a is ics, es ima e and es gene di e si ies and ixa ion indices. A ailable a h p://www2. unil.ch/popgen/so wa es/ s a .h m. 28. Rousse F (2004) Gene ic s uc u e and selec ion in subdi ided popula ions. P ince on: P ince on Uni e si y P ess. 288. 29. Rousse F (2008) Genepop’ 007: A comple e e-implemen a ion o he genepop so wa e o Windows and Linux. Mol Ecol No 8: 103–106. 30. Vekemans X, Ha dy OJ (2004) New insigh s om ine-scale spa ial gene ic s uc u e analyses in plan popula ions. Mol Ecol 13: 921–935. 31. Ha dy OJ, Vekemans X (2002) Spagedi: a e sa ile compu e p og am o analyse spa ial gene ic s uc u e a he indi idual o popula ion le els. Mol Ecol No 2: 618–620. 32. Kass RE, Ra e y AE (1995) Bayes ac o s. J Am S a Assoc 90: 773–795. 33. Jo dano P (2010) Pollen, seeds and genes: he mo emen ecology o plan s. He edi y 105: 329–330. 34. Lande TA, Boshie DH, Ha is SA (2010) F agmen ed bu no isola ed: Con ibu ion o single ees, small pa ches and long-dis ance pollen low o gene ic con ibu ion o Gomo ega keule, an endange ed Chilean ee. Biol Cons 193: 2583–2590. 35. Ashley MV (2010) Plan pa en age, pollina ion, and dispe sal: how DNA mic osa elli es ha e al e ed he landscape. C i Re Plan Sci 29: 148–161. 36. de-Lucas AI, Robledo-A nuncio JJ, Hidalgo E and Gonza´lez-Ma ı ´nez SC (2008) Ma ing sys em and pollen gene low in Medi e anean ma i ime pine. He edi y 100: 390–399. 37. Dow BD, Ashley MV (1998) Fac o s in luencing male ma ing success in bu oak, Que cus mac oca pa. New Fo es s 15: 161–180. 38. Pluess AR, So k VL, Dolan B, Da is FW, G i e D, e al. (2009) Sho dis ance pollen mo emen in a wind-pollina ed ee, Que cus loba a (Fagaceae). Fo es Ecol Manag 258: 735–744. 39. Chep ou PO, Lepa J, Esca e J (2001) Di e en ial ou c ossing a es in dispe sing and non-dispe sing achenes in he he e oca pic plan C epis sanc a (As e aceae). E ol Ecol 15: 1–13. 40. Robledo-A nuncio JJ, Aus e li z F (2006) Pollen dispe sal in spa ially agg ega ed popula ions. Am Na 168: 500–511. 41. Hall P, Walke S, Bawa K (1996) E ec o o es agmen a ion on gene ic di e si y and ma ing sys em in a opical ee, Pi hecellobium elegans. Conse Biol 10: 757–768. 42. Okubo A, Le in SA (1989) A heo e ical amewo k o da a analysis o wind dispe sal o seed and pollen. Ecology 70: 329–338. 43. Apa icio A, Hampe A, Fe na´ndez-Ca illo L, Albaladejo RG (2012) F agmen- a ion and compa a i e gene ic s uc u e o ou Medi e anean woody species: complex in e ac ions be ween li e-his o y ai s and he landscape con ex . Di e si y Dis ib 18: 226–235. 44. Ham ick JL (2004) Response o o es ees o global en i onmen al changes. Fo Ecol Manag 197: 323–335. 45. Ga cı ´a C, Jo dano P, A oyo JM, Godoy JA (2009) Ma e nal gene ic co ela ions in he seed ain: e ec s o ugi o e ac i i y in he e ogeneous landscapes. J Ecol 97: 1424–1435. Pollen Flow in Dis u bed Landscapes PLOS ONE | www.plosone.o g 9 No embe 2012 | Volume 7 | Issue 11 | e49012