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resumen

Resumen
The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest [ver mas...]
dc.contributor.authorliang, Jingjing
dc.contributor.authorGamarra, Javier G.P.
dc.contributor.authorPicard, Nicolas
dc.contributor.authorZhou, Mo
dc.contributor.authorPijanowski, Bryan
dc.contributor.authorJacobs, Douglass F.
dc.contributor.authorReich, Peter B. 
dc.contributor.authorCrowther, Thomas W.
dc.contributor.authorNabuurs , Gert-Jan
dc.contributor.authorde-Miguel, Sergio
dc.contributor.authorPeri, Pablo Luis
dc.contributor.authorHui, Cang
dc.date.accessioned2022-10-11T10:02:38Z
dc.date.available2022-10-11T10:02:38Z
dc.date.issued2022-08-08
dc.identifier.citationLiang, J., Gamarra, J.G.P., Picard, N. et al. Co-limitation towards lower latitudes shapes global forest diversity gradients. Nat Ecol Evol 6, 1423–1437 (2022). https://doi.org/10.1038/s41559-022-01831-xes_AR
dc.identifier.issn2397-334X (online)
dc.identifier.otherhttps://doi.org/10.1038/s41559-022-01831-x
dc.identifier.urihttp://hdl.handle.net/20.500.12123/13077
dc.identifier.urihttps://www.nature.com/articles/s41559-022-01831-x
dc.description.abstractThe latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherSpringer Naturees_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceNature Ecology and Evolution 6 : 1423-1437. (2022)es_AR
dc.subjectTreeseng
dc.subjectÁrboleses_AR
dc.subjectTree and Stand Measurementeng
dc.subjectCubicación de Arboleses_AR
dc.subjectSpecies Richnesseng
dc.subjectRiqueza Específicaes_AR
dc.subjectDatabaseseng
dc.subjectBases de Datoses_AR
dc.subjectContinuous Forest Inventoryeng
dc.subjectInventario Forestal Permanentees_AR
dc.subjectTemperatureeng
dc.subjectTemperaturaes_AR
dc.subjectAnthropogenic Factorseng
dc.subjectFactores Antropogénicoses_AR
dc.subjectAggregate Dataeng
dc.subjectDatos Globaleses_AR
dc.subject.otherBiophysical Characteristicseng
dc.subject.otherCaracterísticas Biofísicases_AR
dc.subject.otherBioclimatic Factorseng
dc.subject.otherFactores Bioclimáticoses_AR
dc.subject.otherMetabolic Theory of Biodiversityeng
dc.subject.otherTeoría Metabólica de la Biodiversidades_AR
dc.subject.otherLatitudinal Diversity Gradienteng
dc.subject.otherGradiente de Diversidad Latitudinales_AR
dc.titleCo-limitation toward lower latitudes shapes global forest diversity gradientses_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenEEA Santa Cruzes_AR
dc.description.filFil: liang, Jingjing. Purdue University. Department of Forestry and Natural resources. Forest Advanced computing and Artificial Intelligence Laboratory (FAcAI); Estados Unidoses_AR
dc.description.filFil: Gamarra, Javier G. P. Food and Agriculture Organization of the United Nations. Forestry Division; Italia.es_AR
dc.description.filFil: Picard, Nicolas. GIP ECOFOr; Franciaes_AR
dc.description.filFil: Zhou, Mo. Purdue University. Department of Forestry and Natural resources. Forest Advanced computing and Artificial Intelligence Laboratory (FAcAI); Estados Unidoses_AR
dc.description.filFil: Pijanowski, Bryan. Purdue University. Department of Forestry and Natural resources; Estados Unidoses_AR
dc.description.filFil: Jacobs, Douglass F. Purdue University. Department of Forestry and Natural resources; Estados Unidoses_AR
dc.description.filFil: Reich, Peter B.  University of Michigan. Institute for Global change biology. School for environment and Sustainability; Estados Unidoses_AR
dc.description.filFil: Reich, Peter B.  University of Minnesota. Department of Forest resources; Estados Unidoses_AR
dc.description.filFil: Reich, Peter B.  Western Sydney University. Hawkesbury Institute for the environment; Australia.es_AR
dc.description.filFil: Crowther, Thomas W. Institute of Integrative biology. Crowther Lab. Department of environmental Systems Science; Suizaes_AR
dc.description.filFil: Nabuurs , Gert-Jan. Wageningen University and research. Wageningen environmental research; Países Bajoses_AR
dc.description.filFil: Nabuurs , Gert-Jan. Wageningen University and research. Forest ecology and Forest Management Group; Países Bajoses_AR
dc.description.filFil: de-Miguel, Sergio. University of Lleida. Department of crop and Forest Sciences; Españaes_AR
dc.description.filFil: de-Miguel, Sergio. Joint research Unit CTFC. Agrotecnio cercA; Españaes_AR
dc.description.filFil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Universidad Nacional de la Patagonia Austral; Argentina.es_AR
dc.description.filFil: Peri, Pablo Luis. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.es_AR
dc.description.filFil: Hui, Cang. Stellenbosch University. Department of Mathematical Sciences. Centre for Invasion biology; Sudáfricaes_AR
dc.description.filFil: Hui, Cang. African Institute for Mathematical Sciences; Sudáfricaes_AR
dc.subtypecientifico


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