VIAF

Virtual International Authority File

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Leader 00000nz a2200037n 45 0
001 WKP|Q100510714 (VIAF cluster) (Authority/Source Record)
003 WKP
005 20241120235939.0
008 241120nneanz||abbn n and d
035 ‎‡a (WKP)Q100510714‏
024 ‎‡a 0000-0003-0868-9511‏ ‎‡2 orcid‏
024 ‎‡a 57218697998‏ ‎‡2 scopus‏
035 ‎‡a (OCoLC)Q100510714‏
043 ‎‡c PE‏
100 0 ‎‡a Dany Alexander Cotrina Sánchez‏ ‎‡c ingeniero peruano‏ ‎‡9 es‏
375 ‎‡a 1‏ ‎‡2 iso5218‏
400 0 ‎‡a Dany A Cotrina Sánchez‏ ‎‡c investigador peruanu‏ ‎‡9 ast‏
400 0 ‎‡a Dany Alexander Cotrina Sánchez‏ ‎‡c Peruvian engineer‏ ‎‡9 en‏
400 0 ‎‡a Dany A Cotrina Sánchez‏ ‎‡c onderzoeker‏ ‎‡9 nl‏
670 ‎‡a Author's Biogeographic Distribution of Cedrela spp. Genus in Peru Using MaxEnt Modeling: A Conservation and Restoration Approach‏
670 ‎‡a Author's Current and Future Distribution of Five Timber Forest Species in Amazonas, Northeast Peru: Contributions towards a Restoration Strategy‏
670 ‎‡a Author's Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru‏
670 ‎‡a Author's Land Suitability for Cocoa Cultivation in Peru: AHP and MaxEnt Modeling in a GIS Environment‏
670 ‎‡a Author's Predictive Modelling of Current and Future Potential Distribution of the Spectacled Bear (Tremarctos ornatus) in Amazonas, Northeast Peru‏
909 ‎‡a (scopus) 57218697998‏ ‎‡9 1‏
909 ‎‡a (orcid) 0000000308689511‏ ‎‡9 1‏
919 ‎‡a predictivemodellingofcurrentandfuturepotentialdistributionofthespectacledbeartremarctosornatusinamazonasnortheastperu‏ ‎‡A Predictive Modelling of Current and Future Potential Distribution of the Spectacled Bear (Tremarctos ornatus) in Amazonas, Northeast Peru‏ ‎‡9 1‏
919 ‎‡a landsuitabilityforcocoacultivationinperuahpandmaxentmodelinginagisenvironment‏ ‎‡A Land Suitability for Cocoa Cultivation in Peru: AHP and MaxEnt Modeling in a GIS Environment‏ ‎‡9 1‏
919 ‎‡a distributionmodelsoftimberspeciesforforestconservationandrestorationintheandeanamazonianlandscapenorthofperu‏ ‎‡A Distribution Models of Timber Species for Forest Conservation and Restoration in the Andean-Amazonian Landscape, North of Peru‏ ‎‡9 1‏
919 ‎‡a currentandfuturedistributionof5timberforestspeciesinamazonasnortheastperucontributionstowardsarestorationstrategy‏ ‎‡A Current and Future Distribution of Five Timber Forest Species in Amazonas, Northeast Peru: Contributions towards a Restoration Strategy‏ ‎‡9 1‏
919 ‎‡a biogeographicdistributionofcedrelasppgenusinperuusingmaxentmodelingaconservationandrestorationapproach‏ ‎‡A Biogeographic Distribution of Cedrela spp. Genus in Peru Using MaxEnt Modeling: A Conservation and Restoration Approach‏ ‎‡9 1‏
946 ‎‡a b‏ ‎‡9 1‏
947 ‎‡a PE‏ ‎‡9 1‏
996 ‎‡2 BNE|XX868416‏
996 ‎‡2 ISNI|0000000402922623‏
996 ‎‡2 SUDOC|077822552‏
996 ‎‡2 BLBNB|000492819‏
996 ‎‡2 NSK|000163981‏
996 ‎‡2 BLBNB|001484121‏
996 ‎‡2 BNE|XX5672791‏
996 ‎‡2 NTA|397688148‏
996 ‎‡2 PLWABN|9813997069005606‏
996 ‎‡2 RERO|A006019084‏
996 ‎‡2 ISNI|0000000380120450‏
996 ‎‡2 DNB|1225063752‏
996 ‎‡2 DNB|141140135‏
996 ‎‡2 BNE|XX4820451‏
996 ‎‡2 LC|nb2019006951‏
996 ‎‡2 SUDOC|251332322‏
996 ‎‡2 DNB|1144885531‏
996 ‎‡2 LC|no2016124340‏
996 ‎‡2 BNC|981058526624506706‏
996 ‎‡2 ISNI|0000000079785701‏
996 ‎‡2 ISNI|0000000132361394‏
996 ‎‡2 BNF|17875103‏
996 ‎‡2 ISNI|0000000034960510‏
996 ‎‡2 SUDOC|241101867‏
996 ‎‡2 BIBSYS|14070159‏
996 ‎‡2 ISNI|0000000080215677‏
996 ‎‡2 LC|no2017166208‏
996 ‎‡2 NUKAT|n 2022089911‏
996 ‎‡2 BNE|XX1652626‏
996 ‎‡2 ISNI|0000000456405330‏
996 ‎‡2 LC|no2015139273‏
996 ‎‡2 BNE|XX4779895‏
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996 ‎‡2 BNC|981058522921606706‏
996 ‎‡2 KRNLK|KAC200606815‏
996 ‎‡2 DNB|1176761463‏
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996 ‎‡2 SUDOC|260480789‏
996 ‎‡2 ISNI|000000006066669X‏
996 ‎‡2 SUDOC|258167904‏
996 ‎‡2 BNC|981058608815706706‏
996 ‎‡2 LC|no2015121621‏
996 ‎‡2 ISNI|000000044336914X‏
996 ‎‡2 LC|ns2019003075‏
996 ‎‡2 BNC|981058519159606706‏
996 ‎‡2 BNE|XX1505823‏
996 ‎‡2 BNC|981061159763506706‏
996 ‎‡2 LC|no2022130086‏
996 ‎‡2 W2Z|1686548388534‏
996 ‎‡2 ISNI|0000000118175827‏
996 ‎‡2 NTA|292078862‏
996 ‎‡2 BIBSYS|1560455410122‏
996 ‎‡2 ISNI|0000000043690196‏
996 ‎‡2 NKC|mzk20191030351‏
996 ‎‡2 BIBSYS|1686548388534‏
996 ‎‡2 SUDOC|268412111‏
996 ‎‡2 ISNI|0000000025426439‏
996 ‎‡2 NUKAT|n 2022088898‏
996 ‎‡2 DNB|1057165301‏
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996 ‎‡2 ISNI|0000000430349545‏
996 ‎‡2 SUDOC|118111167‏
996 ‎‡2 BNF|17841752‏
996 ‎‡2 NSK|000337114‏
996 ‎‡2 LC|nb2018025090‏
996 ‎‡2 BNCHL|10000000000000000846687‏
996 ‎‡2 LC|no2013088476‏
996 ‎‡2 BNE|XX1118338‏
996 ‎‡2 BNE|XX1798750‏
996 ‎‡2 SUDOC|272434787‏
996 ‎‡2 BNF|13944305‏
996 ‎‡2 BNC|981058613829506706‏
996 ‎‡2 LC|no 00088027‏
996 ‎‡2 DNB|1057380903‏
996 ‎‡2 SUDOC|111346738‏
996 ‎‡2 DNB|14193932X‏
996 ‎‡2 RERO|A006030509‏
996 ‎‡2 BNE|XX1000887‏
996 ‎‡2 LC|n 2014007503‏
996 ‎‡2 LC|no2024111998‏
996 ‎‡2 LC|no2013060743‏
996 ‎‡2 BNE|XX5270478‏
996 ‎‡2 LC|no2023024742‏
996 ‎‡2 RERO|A011054515‏
996 ‎‡2 BNE|XX1062273‏
996 ‎‡2 BNE|XX5556749‏
996 ‎‡2 LC|n 95012866‏
996 ‎‡2 BNC|981061084272006706‏
996 ‎‡2 LC|no2012022710‏
996 ‎‡2 ISNI|0000000059374657‏
996 ‎‡2 BNE|XX1271990‏
996 ‎‡2 LC|n 2022023126‏
996 ‎‡2 LC|n 2017015730‏
996 ‎‡2 BNE|XX6525926‏
996 ‎‡2 NTA|305642685‏
996 ‎‡2 ISNI|0000000120602904‏
996 ‎‡2 NKC|vse2006360706‏
996 ‎‡2 BNE|XX1410423‏
996 ‎‡2 NII|DA10150010‏
996 ‎‡2 RERO|A012660114‏
996 ‎‡2 BNC|981058509688006706‏
996 ‎‡2 ISNI|0000000382371237‏
996 ‎‡2 BNC|981058519278106706‏
996 ‎‡2 LC|no2016097321‏
996 ‎‡2 BNE|XX5446537‏
996 ‎‡2 BIBSYS|12034702‏
996 ‎‡2 LC|no2008054932‏
996 ‎‡2 LC|n 2023061748‏
996 ‎‡2 SUDOC|261235737‏
996 ‎‡2 BNE|XX1327012‏
996 ‎‡2 LC|n 91105772‏
996 ‎‡2 PLWABN|9812861696905606‏
996 ‎‡2 BNE|XX5122942‏
996 ‎‡2 DNB|142663654‏
996 ‎‡2 NUKAT|n 2014003062‏
996 ‎‡2 SUDOC|177570768‏
996 ‎‡2 BNE|XX6290492‏
996 ‎‡2 BNC|981058601429606706‏
996 ‎‡2 BNF|14648653‏
996 ‎‡2 LC|no2003091809‏
996 ‎‡2 LC|no2015054834‏
996 ‎‡2 J9U|987007402211105171‏
996 ‎‡2 BNE|XX1109637‏
996 ‎‡2 BNE|XX862160‏
996 ‎‡2 BNE|XX5115412‏
996 ‎‡2 ISNI|0000000355031931‏
996 ‎‡2 BNC|981058614727606706‏
996 ‎‡2 BNC|981058615720506706‏
996 ‎‡2 SUDOC|187633258‏
996 ‎‡2 SUDOC|276519981‏
996 ‎‡2 LC|n 2008015126‏
996 ‎‡2 BNE|XX1553230‏
996 ‎‡2 BNE|XX890565‏
996 ‎‡2 ISNI|000000007762885X‏
996 ‎‡2 ISNI|0000000039797900‏
996 ‎‡2 BNCHL|10000000000000000103747‏
996 ‎‡2 SUDOC|171361911‏
996 ‎‡2 RERO|A003783436‏
996 ‎‡2 BNC|981058513847706706‏
996 ‎‡2 SUDOC|250582937‏
996 ‎‡2 J9U|987007966582205171‏
996 ‎‡2 BNE|XX5006158‏
996 ‎‡2 SUDOC|264697707‏
996 ‎‡2 LC|nb2015011451‏
996 ‎‡2 J9U|987007267520805171‏
996 ‎‡2 SUDOC|219973660‏
996 ‎‡2 BNE|XX5400058‏
996 ‎‡2 LC|n 85102248‏
996 ‎‡2 DNB|1070487074‏
996 ‎‡2 BNCHL|10000000000000000097109‏
996 ‎‡2 LC|ns2015000144‏
996 ‎‡2 LC|n 2010044062‏
996 ‎‡2 BNC|981058581303306706‏
996 ‎‡2 DNB|1056306483‏
996 ‎‡2 LC|no2011107627‏
996 ‎‡2 DNB|1190586150‏
996 ‎‡2 RERO|A024311859‏
996 ‎‡2 DNB|1089649940‏
996 ‎‡2 LC|no2021018420‏
996 ‎‡2 DNB|142977527‏
996 ‎‡2 SUDOC|235678163‏
996 ‎‡2 DNB|1060927438‏
996 ‎‡2 LC|no2014150755‏
996 ‎‡2 SUDOC|059629932‏
996 ‎‡2 SUDOC|13363518X‏
996 ‎‡2 BNF|16726152‏
996 ‎‡2 BNC|981058508911906706‏
996 ‎‡2 LC|no 98117626‏
996 ‎‡2 SUDOC|115302948‏
996 ‎‡2 ISNI|0000000501529325‏
996 ‎‡2 NKC|pna2016908968‏
996 ‎‡2 LC|n 2010035306‏
996 ‎‡2 ISNI|0000000418392516‏
996 ‎‡2 BNE|XX939096‏
996 ‎‡2 PLWABN|9812802464405606‏
996 ‎‡2 PTBNP|184220‏
996 ‎‡2 DNB|132551358X‏
996 ‎‡2 LC|no2016160165‏
996 ‎‡2 BNE|XX4786401‏
996 ‎‡2 LC|ns2012000035‏
996 ‎‡2 BNE|XX5288386‏
996 ‎‡2 LC|n 95036041‏
996 ‎‡2 LC|no2001085226‏
996 ‎‡2 LC|nr 00005986‏
996 ‎‡2 DNB|1057203785‏
996 ‎‡2 BNE|XX1577005‏
996 ‎‡2 NUKAT|n 2015052298‏
996 ‎‡2 DNB|1056175788‏
996 ‎‡2 BNE|XX5636795‏
996 ‎‡2 LC|no2015115590‏
996 ‎‡2 RERO|A003883384‏
996 ‎‡2 SUDOC|124164323‏
996 ‎‡2 BNE|XX885566‏
996 ‎‡2 ISNI|0000000061216404‏
996 ‎‡2 BNE|XX5166239‏
996 ‎‡2 ISNI|0000000081991686‏
996 ‎‡2 BNC|981058516853206706‏
996 ‎‡2 BNC|981058520254906706‏
996 ‎‡2 BNF|17080508‏
996 ‎‡2 DNB|1121037933‏
996 ‎‡2 BNE|XX1428823‏
996 ‎‡2 BNC|981058519985306706‏
996 ‎‡2 SUDOC|248543814‏
996 ‎‡2 DNB|1179944054‏
997 ‎‡a 0 0 lived 0 0‏ ‎‡9 1‏