Biodi e si y Da a Jou nal 9: e66509
doi: 10.3897/BDJ.9.e66509
Da a Pape
Clima ic a iables and ecological modelling da a
o bi ds, amphibians and ep iles in he
T ansbounda y Biosphe e Rese e o Mese a
Ibé ica (Po ugal-Spain)
João C. Campos , Sa a Rod igues , Te esa F ei as , João A. San os , João P. Hon ado ,
Ad ián Regos
‡ InBIO/CIBIO - Cen o de In es igação em Biodi e sidade e Recu sos Gené icos, Campus Ag á io de Vai ão, Rua Pad e
A mando Quin as, n° 7, 4485-661 Vai ão, Po o, Po ugal
§ CITAB - Cen o de In es igação e de Tecnologias Ag o-Ambien ais e Biológicas, Uni e sidade de T ás-os-Mon es e Al o
Dou o, Apa ado 1013, 5001-801, Vila Real, Po ugal
| Depa amen o de Zooloxía, Xené ica e An opoloxía Física, Uni e sidade de San iago de Compos ela, 15782, San iago de
Compos ela, Spain
Co esponding au ho : João C. Campos ([email p o ec ed])
Academic edi o : E ielle And ade
Recei ed: 25 Ma 2021 | Accep ed: 12 May 2021 | Published: 24 Jun 2021
Ci a ion: Campos JC, Rod igues S, F ei as T, San os JA, Hon ado JP, Regos A (2021) Clima ic a iables and
ecological modelling da a o bi ds, amphibians and ep iles in he T ansbounda y Biosphe e Rese e o Mese a
Ibé ica (Po ugal-Spain). Biodi e si y Da a Jou nal 9: e66509. h ps://doi.o g/10.3897/BDJ.9.e66509
Abs ac
Backg ound
Clima e change has been widely accep ed as one o he majo h ea s o global
biodi e si y and unde s anding i s po en ial e ec s on species dis ibu ion is c ucial o
op imise conse a ion planning in u u e scena ios unde global change. In eg a ing
de ailed clima ic da a ac oss spa ial and empo al scales in o species dis ibu ion modelling
can help o p edic po en ial changes in biodi e si y. Consequen ly, his ype o da a can be
use ul o de eloping e icien biodi e si y managemen and conse a ion planning. The
p o ision o such da a becomes e en mo e impo an in highly biodi e se egions, cu en ly
su e ing om clima ic and landscape changes. The T ansbounda y Biosphe e Rese e o
‡ ‡ § § ‡
|
© Campos J 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 (CC BY
4.0), 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.
Mese a Ibé ica (BRMI; Po ugal-Spain) is one o he mos ele an ese es o wildli e in
Eu ope. This highly di e se egion is o g ea ecological and socio-economical in e es ,
su e ing om syne gis ic p ocesses o u al land abandonmen and clima ic ins abili ies
ha cu en ly h ea en local biodi e si y.
Aiming o op imise conse a ion planning in he Rese e, we p o ide a comple e da ase o
his o ical and u u e clima e models (1 x 1 km) o he BRMI, used o build a se ies o
dis ibu ion models o 207 e eb a e species. These models a e p ojec ed o 2050 unde
wo clima e change scena ios. The clima ic sui abili y o 52% and 57% o he species a e
p edic ed o dec ease unde he in e media e and ex eme clima ic scena ios, espec i ely.
These models cons i u e amewo k da a o imp o ing local conse a ion planning in he
Rese e, which should be u he suppo ed by implemen ing clima e and land-use change
ac o s o inc ease he accu acy o u u e p edic ions o species dis ibu ions in he s udy
a ea.
New in o ma ion
He ein, we p o ide a comple e da ase o s a e-o - he-a his o ical and u u e clima e
model simula ions, gene a ed by global- egional clima e model chains, wi h clima ic
a iables esol ed a a high spa ial esolu ion (1 × 1 km) o e he T ansbounda y
Biosphe e Rese e o Mese a Ibé ica. Addi ionally, a comple e se ies o dis ibu ion models
o 207 species (168 bi ds, 24 ep iles and 15 amphibians) unde u u e (2050) clima e
change scena ios is deli e ed, which cons i u e amewo k da a o imp o ing local
conse a ion planning in he ese e.
Keywo ds
biodi e si y, clima e change, clima e models, conse a ion, Ibe ian Peninsula, species
dis ibu ion models.
In oduc ion
Unde s anding how species a e globally dis ibu ed and iden i ying he key ac o s ha
in luence hei spa ial and empo al dis ibu ion pa e ns a e essen ial i s s eps o solid
biodi e si y conse a ion planning (Whi ake e al. 2005). Species dis ibu ions a e
p ima ily shaped by his o ical and con empo a y e en s, in which en i onmen al and
landscape ac o s play a decisi e ole in de e mining spa ial and empo al dis ibu ion
s a us and ends (Nogués-B a o e al. 2018). In his ega d, clima e change has been
widely acknowledged as one o he majo cu en and u u e h ea s o global biodi e si y
(Sippel e al. 2020, Ra en and Wagne 2021), causing geog aphical dis ibu ion shi s o a
la ge numbe o species and, consequen ly, leading o species ex inc ion e en s, he
dis up ion o en i e ecosys ems and also dep i a ion o human well-being (Pecl e al. 2017,
Tu ne e al. 2020). As such, p o iding de ailed and in o ma i e clima ic da a a bo h spa ial
2Campos J e al
and empo al scales is pa amoun o be e p edic ing po en ial en i onmen al impac s on
biodi e si y and associa ed ecosys ems, which ul ima ely suppo op imised conse a ion
planning unde global change (Newbold 2018).
One o he mos impo an ools o assis ing e icien managemen and biodi e si y
conse a ion planning is species dis ibu ion modelling (SDMs; A aújo e al. 2019). These
me hods de i e s a is ical ela ionships be ween geog aphical species occu ences and
en i onmen al p edic o s (such as clima ic ac o s), which can be consequen ly used o
spa ially and empo ally p edic species dis ibu ions unde di e en en i onmen al
scena ios (Guisan e al. 2017). In o de o e icien ly suppo biodi e si y conse a ion
unde u u e en i onmen al condi ions, he combined e ec o landscape, conc e e land
co e in o ma ion and clima e ac o s mus be aken in o accoun o imp o e he model
p edic i e accu acy o po en ial u u e changes o species dis ibu ions (T i iño e al. 2018,
Pausas and Millán 2019).
Imp o ing he p edic i e powe o SDMs becomes pa amoun in highly biodi e se egions
cu en ly unde se e e clima ic and landscape changes. In Eu ope, Medi e anean u al
a eas a e pe ec examples o highly di e se egions om an ecological and socio-
economical poin o iew, su e ing om inc eased e ec s o landscape and clima ic
changes (Na a o and Pe ei a 2012). Fo ins ance, he T ansbounda y Biosphe e Rese e
o Mese a Ibé ica (BRMI), one o he la ges ese es and impo an a eas o wildli e in
Eu ope, wi h a ound 1,132,000 hec a es (www.unesco.o g), is cu en ly subjec ed o
p ocesses o u al land abandonmen and clima ic ins abili ies ha ha e con ibu ed o he
dis up ion o ecosys em p ocesses (e.g. escala ion o ex eme wild i es; Sil e al. 2019).
The Rese e encompasses i e na u al pa ks and se e al Na u a 2000 si es, comp ising
high landscape he e ogenei y and biodi e si y. As an example, he Rese e suppo s a
la ge numbe o e eb a e species (a ound 250 species; www.unesco.o g), including
se e al emblema ic axa o conse a ion conce n, such as he black s o k [Ciconia nig a
(Linnaeus, 1758)], he Egyp ian ul u e [Neoph on pe noc e us (Linnaeus, 1766)], he
Ibe ian og [Rana ibe ica (Boulenge , 1879)] and he Seoane’s ipe [ Vipe seoanei
(La as e, 1879)]. Howe e , he cu en clima ic and landscapes changes cons i u e majo
h ea s o he local biodi e si y and compiling amewo k da a abou how hese impac s
migh in luence species dis ibu ion pa e ns in he u u e could con ibu e o egional and
local conse a ion e o s.
He e, we p esen a comple e da ase o his o ical (se ing as empo al baseline da a) and
u u e clima e models wi h a high spa ial esolu ion (1 × 1 km) o he T ansbounda y
Biosphe e Rese e o Mese a Ibé ica (Po ugal-Spain), as well as a comple e se ies o
dis ibu ion models o 207 e eb a e species (168 bi ds, 24 ep iles and 15 amphibians),
p ojec ed o a his o ical pe iod (1989-2005) and o u u e clima e change scena ios
(2021-2050) in he Rese e.
Clima ic a iables and ecological modelling da a o bi ds, amphibians ... 3
Gene al desc ip ion
Pu pose: These da ase s we e de eloped o p o ide amewo k da a o biodi e si y
conse a ion in one o he mos di e se Biosphe e Rese es in Eu ope.
Addi ional in o ma ion: The clima e model da ase s (comp ising h ee main a iables –
daily o al p ecipi a ion, maximum and minimum empe a u es) a e p o ided o wo main
a eas: he Ibe ian Peninsula and he T ansbounda y Biosphe e Rese e o Mese a Ibé ica
(Fig. 1). The clima e model simula ions a e p o ided o one his o ical pe iod (daily da a
om 1989 o 2005) in he Ibe ian Peninsula (a 9 × 9 km) and wo pe iods (daily da a om
1989 o 2005 and om 2021 o 2050) in he Mese a Ibé ica (a 1 × 1 km). Fu u e clima e
da a a e a ailable om ou Global-Regional Clima e Model chains and wo Rep esen a i e
Concen a ion Pa hways (RCP 4.5 and 8.5). The SDMs a e p o ided o bo h a eas (10 ×
10 km in he Ibe ian Peninsula and 1 × 1 km in he Mese a Ibé ica) and o one his o ical
pe iod in he Ibe ian Peninsula (mean be ween 1989-2005) and wo pe iods in he Mese a
Ibé ica (mean be ween 1989-2005 and mean be ween 2021 and 2050).
The da a a e p o ided in comp essed olde s, con aining he ollowing in o ma ion:
1. Clima e model iles encompassing h ee clima ic a iables in ne CDF o ma ( iles
o ganised acco ding o each a ea and empo al pe iod) and he co esponding
bioclima ic a iables a ailable in . i o ma ;
2. Species models o 207 e eb a e species, including he co esponding spa ial
p ojec ions o he his o ic and u u e scena ios ( iles o ganised acco ding o each
species, a ea and empo al pe iod).
Figu e 1.
Geog aphic loca ion o he s udy a eas: he Ibe ian Peninsula (clima e a iables and
biodi e si y da a p o ided a 10 × 10 km esolu ion) and he T ansbounda y Biosphe e
Rese e o Mese a Ibé ica (da a p o ided a 1 × 1 km esolu ion).
4Campos J e al
Sampling me hods
S ep desc ip ion: P esence/absence da a o bi d species p esen in he Ibe ian Peninsula
we e ob ained om he Spanish and Po uguese A las o B eeding Bi ds, a 10 km
esolu ion (Ma í and Del Mo al 2003, Equipa A las 2008). P esence/absence da a o
ep ile and amphibian species we e ex ac ed om he A las o Amphibians and Rep iles o
Po ugal and Spain, a 10 km esolu ion (Pleguezuelos e al. 2002, Lou ei o e al. 2008).
Only na i e species wi h a leas one p esence in he BRMI we e selec ed. In addi ion,
species wi h less han 30 p esences in he Ibe ian Peninsula we e excluded o a oid model
o e i ing (see A aújo e al. 2019). In he end, da a we e ob ained o 207 species: 168
bi ds, 24 ep iles and 15 amphibians (see Table 1). Taking in o accoun he axonomic
unce ain ies o some species (see Table 1), he species lis was de e mined acco ding o
he mos ecen ly upda ed e sions o he Al ases o a oid any axonomic con lic s (Sille o
e al. 2014).
G oup Scien i ic name Code N AUC h eshold Clima e models
AUC TSS
Amphibia Aly es cis e nasii ACI 1253 0.8 0.96 0.795
Amphibia Aly es obs e icans AOB 2336 0.8 0.927 0.681
Amphibia Bu o spinosus BSP 4471 0.7 0.915 0.654
Amphibia Discoglossus galganoi DGA 1930 0.7 0.993 0.924
Amphibia Epidalea calami a ECA 3973 0.7 0.949 0.757
Amphibia Hyla molle i HMO 1502 0.8 0.957 0.759
Amphibia Lisso i on boscai LBO 1695 0.8 0.948 0.76
Amphibia Lisso i on hel e icus LHE 701 0.8 0.971 0.833
Amphibia Peloba es cul ipes PCU 2221 0.8 0.968 0.786
Amphibia Pelophylax pe ezi PPE 5587 0.8 0.989 0.932
Amphibia Pelody es punc a us PPU 1765 0.7 0.95 0.776
Amphibia Pleu odeles wal l PWA 1897 0.8 0.918 0.659
Amphibia Rana ibe ica RIB 953 0.8 0.984 0.871
Amphibia Salamand a salamand a spp. SSA 2422 0.8 0.928 0.706
Amphibia T i u us ma mo a us spp. TMA 2485 0.7 0.924 0.673
Table 1.
Species in o ma ion: axonomic g oup, scien i ic name, species code and numbe o p esences
used o modelling (N). The quali y h eshold (a ea unde he cu e - AUC) used o model selec ion
( o be included on ensemble modelling) a e indica ed. The accu acy me ics o ensemble species
dis ibu ion models (SDMs), measu ed by he AUC and T ue Skill S a is ics (TSS), a e also
men ioned. Ten model eplica es we e conduc ed o each species.
Clima ic a iables and ecological modelling da a o bi ds, amphibians ... 5

G oup Scien i ic name Code N AUC h eshold Clima e models
AUC TSS
Bi ds Accipi e gen ilis ACCGENT 2266 0.7 0.991 0.895
Bi ds Accipi e nisus ACCNISU 2565 0.7 0.984 0.88
Bi ds Ac ocephalus a undinaceus ACRARUN 1348 0.8 0.99 0.908
Bi ds Ac ocephalus sci paceus ACRSCIR 1581 0.7 0.991 0.912
Bi ds Aegi halos cauda us AEGCAUD 4157 0.7 0.888 0.599
Bi ds Alauda a ensis ALAARVE 2999 0.8 0.896 0.62
Bi ds Alcedo a his ALCATTH 2285 0.7 0.861 0.542
Bi ds Alec o is u a ALERUFA 5050 0.7 0.946 0.803
Bi ds Anas clypea a ANACLYP 141 0.8 0.987 0.945
Bi ds Anas pla y hynchos ANAPLAT 3354 0.7 0.871 0.56
Bi ds Anas s epe a ANASTRE 305 0.8 0.981 0.913
Bi ds An hus campes is ANTCAMP 2248 0.8 0.896 0.614
Bi ds An hus spinole a ANTSPIN 439 0.8 0.987 0.908
Bi ds An hus i ialis ANTTRIV 1163 0.8 0.97 0.846
Bi ds Apus melba APUMELB 1047 0.7 0.975 0.849
Bi ds Apus pallidus APUPALL 847 0.8 0.945 0.75
Bi ds Aquila ch ysae os AQUCHRY 700 0.7 0.968 0.835
Bi ds A dea cine ea ARDCINE 543 0.7 0.994 0.944
Bi ds A dea pu pu ea ARDPURP 259 0.8 0.977 0.872
Bi ds Asio lammeus ASIFLAM 77 0.8 0.991 0.973
Bi ds Asio o us ASIOTUS 1362 0.7 0.893 0.597
Bi ds A hene noc ua ATHNOCT 4424 0.7 0.962 0.793
Bi ds Ay hya e ina AYTFERI 195 0.8 0.987 0.94
Bi ds Bubo bubo BUBBUBO 2141 0.7 0.88 0.601
Bi ds Bubulcus ibis BUBIBIS 287 0.8 0.964 0.827
Bi ds Bu hinus oedicnemus BUROEDI 2264 0.8 0.975 0.836
Bi ds Bu eo bu eo BUTBUTE 4504 0.7 0.867 0.546
Bi ds Caland ella b achydac yla CALBRAC 2245 0.8 0.992 0.909
Bi ds Alauda u escens CALRUFE 246 0.8 0.985 0.903
Bi ds Cap imulgus eu opaeus CAPEURO 1979 0.8 0.899 0.618
Bi ds Cap imulgus u icollis CAPRUFI 1781 0.8 0.916 0.656
Bi ds Ca duelis spinus CARSPIN 84 0.8 0.99 0.963
6Campos J e al
G oup Scien i ic name Code N AUC h eshold Clima e models
AUC TSS
Bi ds Hi undo dau ica CECDAUR 1253 0.8 0.992 0.952
Bi ds Ce hia b achydac yla CERBRAC 2336 0.7 0.868 0.56
Bi ds Ce ia ce i CETCETT 4471 0.7 0.927 0.674
Bi ds Cha ad ius dubius CHADUBI 1930 0.7 0.989 0.896
Bi ds Che sophilus dupon i CHEDUPO 3973 0.8 0.98 0.907
Bi ds Chlidonias hyb ida CHLHYBR 1502 0.8 0.991 0.959
Bi ds Ciconia ciconia CICCICO 1695 0.8 0.927 0.705
Bi ds Ciconia nig a CICNIGR 701 0.8 0.964 0.838
Bi ds Cinclus cinclus CINCINC 2221 0.8 0.937 0.728
Bi ds Ci cus ae uginosus CIRAERU 5587 0.8 0.979 0.891
Bi ds Ci cus cyaneus CIRCYAN 1765 0.8 0.963 0.832
Bi ds Ci cae us gallicus CIRGALL 1897 0.7 0.944 0.728
Bi ds Ci cus pyga gus CIRPYGA 953 0.7 0.992 0.913
Bi ds Cis icola juncidis CISJUNC 2422 0.8 0.97 0.814
Bi ds Clama o glanda ius CLAGLAN 2485 0.7 0.994 0.925
Bi ds Cocco h aus es cocco h aus es COCCOCC 2266 0.8 0.965 0.818
Bi ds Columba li ia COLLIVI 2565 0.7 0.945 0.787
Bi ds Columba oenas COLOENA 1348 0.8 0.917 0.68
Bi ds Columba palumbus COLPALU 1581 0.7 0.947 0.793
Bi ds Co us co one CORCORO 4157 0.8 0.936 0.701
Bi ds Co acias ga ulus CORGARR 2999 0.8 0.927 0.705
Bi ds Co us monedula CORMONE 2285 0.7 0.992 0.902
Bi ds Co u nix co u nix COTCOTU 5050 0.7 0.934 0.717
Bi ds Cuculus cano us CUCCANO 141 0.7 0.98 0.856
Bi ds Cyanopica cyana CYACYAN 3354 0.8 0.954 0.765
Bi ds Dend ocopos majo DENMAJO 305 0.8 0.974 0.814
Bi ds Dend ocopos mino DENMINO 2248 0.8 0.95 0.751
Bi ds Eg e a ga ze a EGRGARZ 439 0.8 0.976 0.878
Bi ds Elanus cae uleus ELACAER 1163 0.8 0.943 0.734
Bi ds Embe iza caland a EMBCALA 1047 0.7 0.908 0.695
Bi ds Embe iza cia EMBCIA 847 0.8 0.94 0.681
Bi ds Embe iza ci lus EMBCIRL 700 0.7 0.991 0.901
Clima ic a iables and ecological modelling da a o bi ds, amphibians ... 7
G oup Scien i ic name Code N AUC h eshold Clima e models
AUC TSS
Bi ds Embe iza ci inella EMBCITR 543 0.8 0.983 0.898
Bi ds Embe iza ho ulana EMBHORT 259 0.8 0.947 0.755
Bi ds E i hacus ubecula ERIRUBE 77 0.8 0.905 0.619
Bi ds Falco naumanni FALNAUM 1362 0.8 0.93 0.723
Bi ds Falco pe eg inus FALPERE 4424 0.8 0.99 0.892
Bi ds Falco subbu eo FALSUBB 195 0.7 0.975 0.819
Bi ds Ficedula hypoleuca FICHYPO 2141 0.8 0.975 0.899
Bi ds F ingilla coelebs FRICOEL 287 0.7 0.901 0.644
Bi ds Fulica a a FULATRA 2264 0.8 0.927 0.688
Bi ds Gallinula chlo opus GALCHLO 4504 0.7 0.874 0.593
Bi ds Gale ida c is a a GALCRIS 2245 0.8 0.934 0.701
Bi ds Gale ida heklae GALTHEK 246 0.8 0.943 0.710
Bi ds Ga ulus glanda ius GARGLAN 1979 0.8 0.945 0.717
Bi ds Gyps ul us GYPFULV 1781 0.7 0.999 0.98
Bi ds Hie aae us ascia us HIEFASC 84 0.8 0.997 0.956
Bi ds Hie aae us penna us HIEPENN 1253 0.7 0.99 0.889
Bi ds Himan opus himan opus HIMHIMA 2336 0.8 0.921 0.668
Bi ds Ixob ychus minu us IXOMINU 4471 0.8 0.991 0.944
Bi ds Jynx o quilla JYNTORQ 1930 0.7 0.989 0.891
Bi ds Lanius collu io LANCOLL 3973 0.8 0.971 0.855
Bi ds Lanius excubi o LANEXCU 1502 0.7 0.885 0.611
Bi ds Lanius sena o LANSENA 1695 0.8 0.947 0.761
Bi ds La us idibundus LARRIDI 701 0.8 0.994 0.968
Bi ds Loxia cu i os a LOXCURV 2221 0.8 0.931 0.733
Bi ds Lullula a bo ea LULARBO 5587 0.7 0.99 0.897
Bi ds Luscinia mega hynchos LUSMEGA 1765 0.7 0.992 0.923
Bi ds Cyanecula s ecica LUSSVEC 1897 0.8 0.995 0.969
Bi ds Melanoco ypha caland a MELCALA 953 0.8 0.918 0.681
Bi ds Me ops apias e MERAPIA 2422 0.8 0.938 0.717
Bi ds Mil us mig ans MILMIGR 2485 0.7 0.976 0.835
Bi ds Mil us mil us MILMILV 2266 0.8 0.938 0.727
Bi ds Mon icola saxa ilis MONSAXA 2565 0.8 0.941 0.751
8Campos J e al
G oup Scien i ic name Code N AUC h eshold Clima e models
AUC TSS
Bi ds Mon icola soli a ius MONSOLI 1348 0.8 0.992 0.908
Bi ds Mo acilla alba MOTALBA 1581 0.7 0.971 0.864
Bi ds Mo acilla cine ea MOTCINE 4157 0.8 0.94 0.7
Bi ds Mo acilla la a MOTFLAV 2999 0.8 0.97 0.836
Bi ds Muscicapa s ia a MUSSTRI 2285 0.7 0.977 0.835
Bi ds Neoph on pe cnop e us NEOPERC 5050 0.7 0.97 0.876
Bi ds Nyc ico ax nyc ico ax NYCNYCT 141 0.8 0.995 0.974
Bi ds Oenan he hispanica OENHISP 3354 0.8 0.909 0.686
Bi ds Oenan he leucu a OENLEUC 305 0.8 0.945 0.754
Bi ds Oenan he oenan he OENOENA 2248 0.8 0.923 0.674
Bi ds O iolus o iolus ORIORIO 439 0.7 0.91 0.666
Bi ds O is a da OTITARD 1163 0.8 0.961 0.797
Bi ds O us scops OTUSCOP 1047 0.7 0.925 0.695
Bi ds Pe ipa us a e PARATER 847 0.8 0.92 0.669
Bi ds Pa us cae uleus PARCAER 700 0.7 0.884 0.599
Bi ds Pa us c is a us PARCRIS 543 0.8 0.985 0.863
Bi ds Pa us majo PARMAJO 259 0.7 0.935 0.745
Bi ds Passe hispaniolensis PASHISP 77 0.8 0.942 0.736
Bi ds Passe mon anus PASMONT 1362 0.7 0.869 0.541
Bi ds Pe nis api o us PERAPIV 4424 0.8 0.937 0.736
Bi ds Pe dix pe dix PERPERD 195 0.8 0.993 0.954
Bi ds Pe onia pe onia PETPETR 2141 0.8 0.905 0.63
Bi ds Phasianus colchicus PHACOLC 287 0.8 0.997 0.985
Bi ds Phoenicu us och u os PHOOCHR 2264 0.8 0.91 0.632
Bi ds Phoenicu us phoenicu us PHOPHOE 4504 0.8 0.949 0.77
Bi ds Phylloscopus bonelli PHYBONE 2245 0.8 0.906 0.626
Bi ds Phylloscopus collybi a PHYCOLL 246 0.8 0.922 0.678
Bi ds Phylloscopus ibe icus PHYIBER 1979 0.8 0.935 0.729
Bi ds Pica pica PICPICA 1781 0.7 0.86 0.536
Bi ds Picus i idis PICVIRI 84 0.7 0.868 0.551
Bi ds Podiceps c is a us PODCRIS 1253 0.8 0.978 0.889
Bi ds Podiceps nig icollis PODNIGR 2336 0.8 0.993 0.962
Clima ic a iables and ecological modelling da a o bi ds, amphibians ... 9
Files o he u u e pe iod -
MI_MODEL_RCP_MR_ALT_VAR_1
Code desc ip ion - MI e e s o he Mese a Ibé ica, MODEL o he clima e
model used (CNRM-CERFACS-CNRM-CM5 - CNRM; ICHEC-EC-EARTH
- ICHEC; IPSL-IPSL-CM5A-MR - IPSL; MPI-M-MPI-ESM-LR - MPI), RCP
o he Rep esen a i e Concen a ion Pa hway (RCP 4.5 - 45; RCP 8.5 -
85), MR o he u u e pe iod, ALT o he al i udinal-based co ec ion o
clima e a iables, VAR o he h ee p o ided a iables (RR - daily
p ecip a ion; TMAX - Maximum empe a u e; TMIN - Minimum
empe a u e) and 1 o he spa ial esolu ion (1 km).
Da a se name: Species dis ibu ion models
Download URL: Pa 1: h ps://zenodo.o g/ eco d/4598254#.YFTkjdxUnIU
Pa 2: h ps://zenodo.o g/ eco d/4599822#.YFTl 9xUnIU
Desc ip ion: Species dis ibu ion models o 207 e eb a es dis ibu ed in he Ibe ian
Peninsula and he T ansbounda y Biosphe e Rese e o Mese a Ibé ica. The models
a e a ailable a 10 × 10 km esolu ion o he Ibe ian Peninsula (clima e models o
2005). Model p ojec ions a e a ailable o 2005 and 2050 ( o he CNRM, ICHEC, IPSL
and MPI clima e models and he RCP 4.5 and RCP 8.5 scena ios) o he Biosphe e
Rese e a 1 × 1 km esolu ion. Da a di ided in o wo pa s.
Column label Column desc ip ion
Clima e models Species dis ibu ion models o 207 e eb a es o 2005 and 2050
Acknowledgemen s
This esea ch was suppo ed by Po uguese na ional unds h ough FCT - Founda ion o
Science and Technology, I.P., unde he Fi ESma p ojec (PCIF/MOG/0083/2017) and by
p ojec INMODES (CGL2017-89999-C2-2-R), unded by he Spanish Minis y o Science
and Inno a ion. AR was suppo ed by he Xun a de Galicia (ED481B2016/084-0) and he
IACOBUS p og amme (INTERREG V-A España–Po ugal, POCTEP 2014-2020). This wo k
was also suppo ed by Na ional Funds by FCT - Po uguese Founda ion o Science and
Technology, unde he p ojec UIDB/04033/2020.
Au ho con ibu ions
D a p epa a ion: JCC. Analyses and p epa a ion o clima e da a: TF, JAS, JCC. Species
dis ibu ion modelling and da a p epa a ion: SR, JCC. Visualisa ion: JCC. Re iew and
edi ing: all au ho s.
16 Campos J e al

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18 Campos J e al
Supplemen a y ma e ial
Suppl. ma e ial 1: Pea son co ela ion analysis be ween bioclima ic a iables
Au ho s: João C. Campos; Sa a Rod igues; Te esa F ei as; João A. San os; João P. Hon ado,
Ad ián Regos
Da a ype: S a is ical analyses
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Clima ic a iables and ecological modelling da a o bi ds, amphibians ... 19