Abteilung Biodiversität, Makroökologie und Biogeographie

[["dc.bibliographiccitation.firstpage","919"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Animal : an international journal of animal bioscience"],["dc.bibliographiccitation.lastpage","927"],["dc.bibliographiccitation.volume","9"],["dc.contributor.author","Biermann, A. D. M."],["dc.contributor.author","Yin, T."],["dc.contributor.author","König von Borstel, U. U."],["dc.contributor.author","Rübesam, K."],["dc.contributor.author","Kuhn, B."],["dc.contributor.author","König, S."],["dc.date.accessioned","2016-03-01T14:44:06Z"],["dc.date.accessioned","2021-10-27T13:13:03Z"],["dc.date.available","2016-03-01T14:44:06Z"],["dc.date.available","2021-10-27T13:13:03Z"],["dc.date.issued","2015-06-01"],["dc.description.abstract","In endangered and local pig breeds of small population sizes, production has to focus on alternative niche markets with an emphasis on specific product and meat quality traits to achieve economic competiveness. For designing breeding strategies on meat quality, an adequate performance testing scheme focussing on phenotyped selection candidates is required. For the endangered German pig breed 'Bunte Bentheimer' (BB), no breeding program has been designed until now, and no performance testing scheme has been implemented. For local breeds, mainly reared in small-scale production systems, a performance test based on in vivo indicator traits might be a promising alternative in order to increase genetic gain for meat quality traits. Hence, the main objective of this study was to design and evaluate breeding strategies for the improvement of meat quality within the BB breed using in vivo indicator traits and genetic markers. The in vivo indicator trait was backfat thickness measured by ultrasound (BFiv), and genetic markers were allele variants at the ryanodine receptor 1 (RYR1) locus. In total, 1116 records of production and meat quality traits were collected, including 613 in vivo ultrasound measurements and 713 carcass and meat quality records. Additionally, 700 pigs were genotyped at the RYR1 locus. Data were used (1) to estimate genetic (co)variance components for production and meat quality traits, (2) to estimate allele substitution effects at the RYR1 locus using a selective genotyping approach and (3) to evaluate breeding strategies on meat quality by combining results from quantitative-genetic and molecular-genetic approaches. Heritability for the production trait BFiv was 0.27, and 0.48 for backfat thickness measured on carcass. Estimated heritabilities for meat quality traits ranged from 0.14 for meat brightness to 0.78 for the intramuscular fat content (IMF). Genetic correlations between BFiv and IMF were higher than estimates based on carcass backfat measurements (0.39 v. 0.25). The presence of the unfavorable n allele was associated with increased electric conductivity, paler meat and higher drip loss. The allele substitution effect on IMF was unfavorable, indicating lower IMF when the n allele is present. A breeding strategy including the phenotype (BFiv) combined with genetic marker information at the RYR1 locus from the selection candidate, resulted in a 20% increase in accuracy and selection response when compared with a breeding strategy without genetic marker information."],["dc.identifier.doi","10.1017/S1751731115000166"],["dc.identifier.fs","610257"],["dc.identifier.pmid","25690016"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/12941"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91747"],["dc.language.iso","en"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.issn","1751-732X"],["dc.relation.orgunit","Fakultät für Agrarwissenschaften"],["dc.rights","Goescholar"],["dc.rights.access","openAccess"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.subject","endangered pig breed; meat quality; halothane gene; ultrasound indicator traits; breeding strategies"],["dc.subject.mesh","Alleles"],["dc.subject.mesh","Animals"],["dc.subject.mesh","Breeding"],["dc.subject.mesh","Endangered Species"],["dc.subject.mesh","Genetic Variation"],["dc.subject.mesh","Genotype"],["dc.subject.mesh","Meat"],["dc.subject.mesh","Phenotype"],["dc.subject.mesh","Species Specificity"],["dc.subject.mesh","Sus scrofa"],["dc.title","From phenotyping towards breeding strategies: using in vivo indicator traits and genetic markers to improve meat quality in an endangered pig breed."],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","14435"],["dc.bibliographiccitation.journal","Nature Communications"],["dc.bibliographiccitation.volume","8"],["dc.contributor.author","Seebens, Hanno"],["dc.contributor.author","Blackburn, Tim M."],["dc.contributor.author","Dyer, Ellie E."],["dc.contributor.author","Genovesi, Piero"],["dc.contributor.author","Hulme, Philip E."],["dc.contributor.author","Jeschke, Jonathan M."],["dc.contributor.author","Pagad, Shyama"],["dc.contributor.author","Pyšek, Petr"],["dc.contributor.author","Winter, Marten"],["dc.contributor.author","Arianoutsou, Margarita"],["dc.contributor.author","Bacher, Sven"],["dc.contributor.author","Blasius, Bernd"],["dc.contributor.author","Brundu, Giuseppe"],["dc.contributor.author","Capinha, César"],["dc.contributor.author","Celesti-Grapow, Laura"],["dc.contributor.author","Dawson, Wayne"],["dc.contributor.author","Dullinger, Stefan"],["dc.contributor.author","Fuentes, Nicol"],["dc.contributor.author","Jäger, Heinke"],["dc.contributor.author","Kartesz, John"],["dc.contributor.author","Kenis, Marc"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Kühn, Ingolf"],["dc.contributor.author","Lenzner, Bernd"],["dc.contributor.author","Liebhold, Andrew"],["dc.contributor.author","Mosena, Alexander"],["dc.contributor.author","Moser, Dietmar"],["dc.contributor.author","Nishino, Misako"],["dc.contributor.author","Pearman, David"],["dc.contributor.author","Pergl, Jan"],["dc.contributor.author","Rabitsch, Wolfgang"],["dc.contributor.author","Rojas-Sandoval, Julissa"],["dc.contributor.author","Roques, Alain"],["dc.contributor.author","Rorke, Stephanie"],["dc.contributor.author","Rossinelli, Silvia"],["dc.contributor.author","Roy, Helen E."],["dc.contributor.author","Scalera, Riccardo"],["dc.contributor.author","Schindler, Stefan"],["dc.contributor.author","Štajerová, Kateřina"],["dc.contributor.author","Tokarska-Guzik, Barbara"],["dc.contributor.author","van Kleunen, Mark"],["dc.contributor.author","Walker, Kevin"],["dc.contributor.author","Weigelt, Patrick"],["dc.contributor.author","Yamanaka, Takehiko"],["dc.contributor.author","Essl, Franz"],["dc.date.accessioned","2017-09-07T11:45:49Z"],["dc.date.available","2017-09-07T11:45:49Z"],["dc.date.issued","2017"],["dc.description.abstract","Although research on human-mediated exchanges of species has substantially intensified during the last centuries, we know surprisingly little about temporal dynamics of alien species accumulations across regions and taxa. Using a novel database of 45,813 first records of 16,926 established alien species, we show that the annual rate of first records worldwide has increased during the last 200 years, with 37% of all first records reported most recently (1970–2014). Inter-continental and inter-taxonomic variation can be largely attributed to the diaspora of European settlers in the nineteenth century and to the acceleration in trade in the twentieth century. For all taxonomic groups, the increase in numbers of alien species does not show any sign of saturation and most taxa even show increases in the rate of first records over time. This highlights that past efforts to mitigate invasions have not been effective enough to keep up with increasing globalization."],["dc.identifier.doi","10.1038/ncomms14435"],["dc.identifier.gro","3149121"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/14336"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5771"],["dc.language.iso","en"],["dc.notes.intern","Kreft Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","2041-1723"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0/"],["dc.title","No saturation in the accumulation of alien species worldwide"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Ecology"],["dc.bibliographiccitation.volume","100"],["dc.contributor.author","Kleunen, Mark"],["dc.contributor.author","Pyšek, Petr"],["dc.contributor.author","Dawson, Wayne"],["dc.contributor.author","Essl, Franz"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Pergl, Jan"],["dc.contributor.author","Weigelt, Patrick"],["dc.contributor.author","Stein, Anke"],["dc.contributor.author","Dullinger, Stefan"],["dc.contributor.author","König, Christian"],["dc.contributor.author","Winter, Marten"],["dc.date.accessioned","2022-06-08T07:57:19Z"],["dc.date.available","2022-06-08T07:57:19Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1002/ecy.2542"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/110054"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-575"],["dc.relation.eissn","1939-9170"],["dc.relation.issn","0012-9658"],["dc.rights.uri","http://onlinelibrary.wiley.com/termsAndConditions#vor"],["dc.title","The Global Naturalized Alien Flora (Glo NAF ) database"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Pedobiologia"],["dc.bibliographiccitation.lastpage","3"],["dc.bibliographiccitation.volume","57"],["dc.contributor.author","Powell, Jeff R."],["dc.contributor.author","Craven, Dylan James"],["dc.contributor.author","Eisenhauer, Nico"],["dc.date.accessioned","2020-06-15T13:55:56Z"],["dc.date.available","2020-06-15T13:55:56Z"],["dc.date.issued","2014"],["dc.identifier.doi","10.1016/j.pedobi.2014.01.001"],["dc.identifier.scopus","2-s2.0-84894227721"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66266"],["dc.identifier.url","http://www.scopus.com/inward/record.url?eid=2-s2.0-84894227721&partnerID=MN8TOARS"],["dc.language.iso","en"],["dc.relation.issn","0031-4056"],["dc.title","Recent trends and future strategies in soil ecological research-Integrative approaches at Pedobiologia"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dc.type.subtype","editorial_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1"],["dc.bibliographiccitation.issue","2"],["dc.bibliographiccitation.journal","Journal of Biogeography"],["dc.bibliographiccitation.lastpage","16"],["dc.bibliographiccitation.volume","47"],["dc.contributor.author","Brambach, Fabian"],["dc.contributor.author","Leuschner, Christoph"],["dc.contributor.author","Tjoa, Aiyen"],["dc.contributor.author","Culmsee, Heike"],["dc.date.accessioned","2019-12-16T15:20:07Z"],["dc.date.accessioned","2021-10-27T13:11:31Z"],["dc.date.available","2019-12-16T15:20:07Z"],["dc.date.available","2021-10-27T13:11:31Z"],["dc.date.issued","2019"],["dc.description.abstract","Abstract Aim: Massive biota mixing due to plate‐tectonic movement has shaped the biogeography of Malesia and during the colonization process, Asian plant lineages have presumably been more successful than their Australian counterparts. We aim to gain a deeper understanding of this colonization asymmetry and its underlying mechanisms by analysing how species richness and abundance of Asian versus Australian tree lineages in three Malesian subregions change along environmental gradients. We hypothesize that differing environmental histories of Asia and Australia, and their relation to habitats in Malesia, have been important factors driving assembly patterns of the Malesian flora. Location: Malesia, particularly Sundaland, the Philippines and Wallacea. Taxon: Seed plants (trees). Methods: We compiled plot‐level data of environmental variables and tree abundances from three Malesian subregions. For each species, we inferred its geographical ancestry (Asian or Australian) based on published phylogenetic studies and the fossil record. We used proportions of Australian versus Asian species and individuals per plot to test how they are related to environmental parameters and geographical position using logistic regression models. Results: Proportionally more Australian (and fewer Asian) tree species and individuals occurred (a) at higher elevations, (b) on sites over ultramafic parent material and (c) closer to their source region Australia with a significant increase of Australian elements east of Wallace's line. The trend was stronger for individuals than for species. Main conclusions: Long‐term environmental similarities between source and sink habitats have shaped the assembly of the Malesian flora: Tree lineages from tropical Southeast Asia predominantly colonized the Malesian lowlands and rich soils, whereas trees from montane refuges in Australia were more successful in the newly emerging Malesian mountains and on poorer soils. The biogeographical patterns caused by the Malesian Floristic Interchange point to the importance of phylogenetic biome conservatism in biotic interchanges and resemble"],["dc.identifier.doi","10.1111/jbi.13747"],["dc.identifier.eissn","1365-2699"],["dc.identifier.issn","0305-0270"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/16965"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/91602"],["dc.language.iso","en"],["dc.notes.intern","Migrated from goescholar"],["dc.relation.eissn","1365-2699"],["dc.relation.issn","1365-2699"],["dc.relation.issn","0305-0270"],["dc.relation.orgunit","Fakultät für Biologie und Psychologie"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.subject.ddc","570"],["dc.title","Predominant colonization of Malesian mountains by Australian tree lineages"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","341"],["dc.bibliographiccitation.issue","3"],["dc.bibliographiccitation.journal","Global Ecology and Biogeography"],["dc.bibliographiccitation.lastpage","352"],["dc.bibliographiccitation.volume","28"],["dc.contributor.author","Razanajatovo, Mialy"],["dc.contributor.author","van Kleunen, Mark"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Dawson, Wayne"],["dc.contributor.author","Essl, Franz"],["dc.contributor.author","Pergl, Jan"],["dc.contributor.author","Pyšek, Petr"],["dc.contributor.author","Winter, Marten"],["dc.contributor.author","Weigelt, Patrick"],["dc.contributor.editor","Borregaard, Michael"],["dc.date.accessioned","2020-12-10T18:28:46Z"],["dc.date.available","2020-12-10T18:28:46Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1111/geb.12854"],["dc.identifier.issn","1466-822X"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/111084"],["dc.language.iso","en"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.issn","1466-822X"],["dc.title","Autofertility and self-compatibility moderately benefit island colonization of plants"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","489"],["dc.bibliographiccitation.issue","4"],["dc.bibliographiccitation.journal","Global Ecology and Biogeography"],["dc.bibliographiccitation.lastpage","501"],["dc.bibliographiccitation.volume","25"],["dc.contributor.author","Karger, Dirk Nikolaus"],["dc.contributor.author","Cord, Anna F."],["dc.contributor.author","Kessler, Michael"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Kühn, Ingolf"],["dc.contributor.author","Pompe, Sven"],["dc.contributor.author","Sandel, Brody"],["dc.contributor.author","Sarmento Cabral, Juliano"],["dc.contributor.author","Smith, Adam B."],["dc.contributor.author","Svenning, Jens-Christian"],["dc.contributor.author","Tuomisto, Hanna"],["dc.contributor.author","Weigelt, Patrick"],["dc.contributor.author","Wesche, Karsten"],["dc.date.accessioned","2017-09-07T11:46:26Z"],["dc.date.available","2017-09-07T11:46:26Z"],["dc.date.issued","2016"],["dc.description.abstract","Abstract Aim To provide a mechanistic and probabilistic framework for defining the species pool based on species‐specific probabilities of dispersal, environmental suitability and biotic interactions within a specific temporal extent, and to show how probabilistic species pools can help disentangle the geographical structure of different community assembly processes. Innovation Probabilistic species pools provide an improved species pool definition based on probabilities in conjunction with the associated species list, which explicitly recognize the indeterminate nature of species pool membership for a given focal unit of interest and better capture real‐world complexity. Probabilistic species pools provide a quantitative assessment of how dispersal, environmental or biotic factors influence estimates of species pool composition and size for a given temporal extent. Conclusions Based on one simulated and two empirical examples we demonstrate that probabilistic species pools allow us to disentangle the geographical variation in dispersal, environmental and biotic assembly processes for species assemblages in focal units. We also show that probabilistic species pools are fully compatible with traditional definitions of species pools and are applicable over a wide range of spatial and temporal extents. Additionally they are robust to missing data and provide a quantified and transparent approach to estimating the size and composition of species pools in a mechanistic way, providing a valuable tool for studies from community ecology to macroecology."],["dc.identifier.doi","10.1111/geb.12422"],["dc.identifier.gro","3149147"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13236"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/5798"],["dc.language.iso","en"],["dc.notes.intern","Kreft Crossref Import"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","final"],["dc.notes.submitter","chake"],["dc.relation.issn","1466-822X"],["dc.rights","CC BY-NC-ND 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by-nc-nd/4.0"],["dc.title","Delineating probabilistic species pools in ecology and biogeography"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.peerReviewed","no"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1648"],["dc.bibliographiccitation.issue","8"],["dc.bibliographiccitation.journal","Forest Ecology and Management"],["dc.bibliographiccitation.lastpage","1657"],["dc.bibliographiccitation.volume","262"],["dc.contributor.author","van Breugel, Michiel"],["dc.contributor.author","Ransijn, Johannes"],["dc.contributor.author","Craven, Dylan"],["dc.contributor.author","Bongers, Frans"],["dc.contributor.author","Hall, Jefferson S."],["dc.date.accessioned","2020-06-18T06:48:55Z"],["dc.date.available","2020-06-18T06:48:55Z"],["dc.date.issued","2011"],["dc.description.abstract","Secondary forests are a major terrestrial carbon sink and reliable estimates of their carbon stocks are pivotal for understanding the global carbon balance and initiatives to mitigate CO2 emissions through forest management and reforestation. A common method to quantify carbon stocks in forests is the use of allometric regression models to convert forest inventory data to estimates of aboveground biomass (AGB). The use of allometric models implies decisions on the selection of extant models or the development of a local model, the predictor variables included in the selected model, and the number of trees and species for destructive biomass measurements. We assess uncertainties associated with these decisions using data from 94 secondary forest plots in central Panama and 244 harvested trees belonging to 26 locally abundant species. AGB estimates from species-specific models were used to assess relative errors of estimates from multispecies models. To reduce uncertainty in the estimation of plot AGB, including wood specific gravity (WSG) in the model was more important than the number of trees used for model fitting. However, decreasing the number of trees increased uncertainty of landscape-level AGB estimates substantially, while including WSG had limited effects on the accuracy of the landscape-level estimates. Predictions of stand and landscape AGB varied strongly among models, making model choice an important source of uncertainty. Local models provided more accurate AGB estimates than foreign models, but high variability in carbon stocks across the landscape implies that developing local models is only justified when landscape sampling is sufficiently intensive."],["dc.identifier.doi","10.1016/j.foreco.2011.07.018"],["dc.identifier.isi","WOS:000295297300034"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66462"],["dc.identifier.url","http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000295297300034&KeyUID=WOS:000295297300034"],["dc.language.iso","en"],["dc.relation.issn","0378-1127"],["dc.title","Estimating carbon stock in secondary forests: Decisions and uncertainties associated with allometric biomass models"],["dc.type","journal_article"],["dc.type.internalPublication","no"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","1812"],["dc.bibliographiccitation.issue","12"],["dc.bibliographiccitation.journal","Ecography"],["dc.bibliographiccitation.lastpage","1825"],["dc.bibliographiccitation.volume","44"],["dc.contributor.author","Omer, Ali"],["dc.contributor.author","Fristoe, Trevor"],["dc.contributor.author","Yang, Qiang"],["dc.contributor.author","Maurel, Noëlie"],["dc.contributor.author","Weigelt, Patrick"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Bleilevens, Jonas"],["dc.contributor.author","Dawson, Wayne"],["dc.contributor.author","Essl, Franz"],["dc.contributor.author","Pergl, Jan"],["dc.contributor.author","van Kleunen, Mark"],["dc.date.accessioned","2021-12-01T09:23:55Z"],["dc.date.available","2021-12-01T09:23:55Z"],["dc.date.issued","2021"],["dc.identifier.doi","10.1111/ecog.05669"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/94795"],["dc.language.iso","en"],["dc.notes.intern","DOI-Import GROB-478"],["dc.relation.eissn","1600-0587"],["dc.relation.issn","0906-7590"],["dc.rights.uri","http://creativecommons.org/licenses/by/3.0/"],["dc.title","Characteristics of the naturalized flora of Southern Africa largely reflect the non‐random introduction of alien species for cultivation"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","4"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Global Ecology and Biogeography"],["dc.bibliographiccitation.lastpage","15"],["dc.bibliographiccitation.volume","29"],["dc.contributor.author","Sandel, Brody"],["dc.contributor.author","Weigelt, Patrick"],["dc.contributor.author","Kreft, Holger"],["dc.contributor.author","Keppel, Gunnar"],["dc.contributor.author","van der Sande, Masha T."],["dc.contributor.author","Levin, Sam"],["dc.contributor.author","Smith, Stephen"],["dc.contributor.author","Craven, Dylan"],["dc.contributor.author","Knight, Tiffany M."],["dc.contributor.author","Kelly, Ruth"],["dc.date.accessioned","2020-06-16T07:56:08Z"],["dc.date.available","2020-06-16T07:56:08Z"],["dc.date.issued","2020"],["dc.description.abstract","Aim We mapped global patterns of tree phylogenetic endemism (PE) to identify hotspots and test hypotheses about possible drivers. Specifically, we tested hypotheses related to current climate, geographical characteristics and historical conditions and assessed their relative importance in shaping PE patterns. Location Global. Time period We used the present distribution of trees, and predictors covering conditions from the mid‐Miocene to present. Major taxa studied All seed‐bearing trees. Methods We compiled distributions for 58,542 tree species across 463 regions worldwide, matched these to a recent phylogeny of seed plants and calculated PE for each region. We used a suite of predictor variables describing current climate (e.g., mean annual temperature), geographical characteristics (e.g., isolation) and historical conditions (e.g., tree cover at the Last Glacial Maximum) in a spatial regression model to explain variation in PE. Results Tree PE was highest on islands, and was higher closer to the equator. All three groups of predictor variables contributed substantially to the PE pattern. Isolation and topographic heterogeneity promoted high PE, as did high current tree cover. Among mainland regions, temperature seasonality was strongly negatively related to PE, while mean annual temperature was positively related to PE on islands. Some relationships differed among the major floristic regions. For example, tree cover at the Last Glacial Maximum was a positive predictor of PE in the Palaeotropics, while tree cover at the Miocene was a negative predictor of PE in the Neotropics. Main conclusions Globally, PE can be explained by a combination of geographical, historical and current factors. Some geographical variables appear to be key predictors of PE. However, the impact of historic and current climate variables differs considerably among the major floristic regions, reflecting their unique histories. Hence, the current distribution of trees is the result of globally relevant geographical drivers and regional climatic histories."],["dc.identifier.doi","10.1111/geb.13001"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/66340"],["dc.language.iso","de"],["dc.relation.eissn","1466-8238"],["dc.relation.issn","1466-822X"],["dc.title","Current climate, isolation and history drive global patterns of tree phylogenetic endemism"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]