Leaf trait variation in species-rich tropical Andean forests
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[1] Enrong Yan,et al. The importance of intraspecific trait variability in promoting functional niche dimensionality , 2021 .
[2] T. Hickler,et al. A research framework for projecting ecosystem change in highly diverse tropical mountain ecosystems , 2021, Oecologia.
[3] J. Funk,et al. Intraspecific trait variation in plants: a renewed focus on its role in ecological processes. , 2021, Annals of botany.
[4] Andreas Richter,et al. Empirical support for the biogeochemical niche hypothesis in forest trees , 2021, Nature Ecology & Evolution.
[5] C. Leuschner,et al. Topography as a factor driving small-scale variation in tree fine root traits and root functional diversity in a species-rich tropical montane forest. , 2020, New Phytologist.
[6] H. Muller‐Landau,et al. Patterns and mechanisms of spatial variation in tropical forest productivity, woody residence time, and biomass. , 2020, The New phytologist.
[7] Mirco Migliavacca,et al. News on intra-specific trait variation, species sorting, and optimality theory for functional biogeography and beyond. , 2020, The New phytologist.
[8] É. Marcon,et al. Topography consistently drives intra‐ and inter‐specific leaf trait variation within tree species complexes in a Neotropical forest , 2020 .
[9] C. Leuschner,et al. Factors controlling the productivity of tropical Andean forests: climate and soil are more important than tree diversity , 2020, Biogeosciences.
[10] S. Niu,et al. Plant Trait Networks: Improved Resolution of the Dimensionality of Adaptation. , 2020, Trends in ecology & evolution.
[11] Y. Malhi,et al. Elevation and latitude drives structure and tree species composition in Andean forests: Results from a large-scale plot network , 2020, PloS one.
[12] I. Prentice,et al. Components of leaf-trait variation along environmental gradients. , 2020, The New phytologist.
[13] B. Enquist,et al. Covariance of Sun and Shade Leaf Traits Along a Tropical Forest Elevation Gradient , 2020, Frontiers in Plant Science.
[14] Susanne A. Fritz,et al. Trait-Based Assessments of Climate-Change Impacts on Interacting Species. , 2020, Trends in ecology & evolution.
[15] Nadejda A. Soudzilovskaia,et al. Robustness of trait connections across environmental gradients and growth forms , 2019, Global Ecology and Biogeography.
[16] Robert K. Colwell,et al. Humboldt’s enigma: What causes global patterns of mountain biodiversity? , 2019, Science.
[17] Yi Ding,et al. The effect of environmental filtering on variation in functional diversity along a tropical elevational gradient , 2019, Journal of Vegetation Science.
[18] N. Swenson,et al. Does trait variation within broadly distributed species mirror patterns across species? A case study in Puerto Rico. , 2019, Ecology.
[19] H. Qian,et al. V.PhyloMaker: an R package that can generate very large phylogenies for vascular plants , 2019, Ecography.
[20] Jonah Gabry,et al. R-squared for Bayesian Regression Models , 2019, The American Statistician.
[21] Y. Malhi,et al. Widespread but heterogeneous responses of Andean forests to climate change , 2018, Nature.
[22] B. Blasius,et al. Trait correlation network analysis identifies biomass allocation traits and stem specific length as hub traits in herbaceous perennial plants , 2018, Journal of Ecology.
[23] C. Peng,et al. Quantifying leaf-trait covariation and its controls across climates and biomes. , 2018, The New phytologist.
[24] L. Anderegg,et al. Within-species patterns challenge our understanding of the leaf economics spectrum. , 2018, Ecology letters.
[25] C. Leuschner,et al. Contrasting species responses to continued nitrogen and phosphorus addition in tropical montane forest tree seedlings , 2018 .
[26] J. Homeier,et al. Functional traits determine tree growth and ecosystem productivity of a tropical montane forest: Insights from a long‐term nutrient manipulation experiment , 2018, Global change biology.
[27] B. Enquist,et al. Interspecific integration of trait dimensions at local scales: the plant phenotype as an integrated network , 2017 .
[28] Paul-Christian Bürkner,et al. brms: An R Package for Bayesian Multilevel Models Using Stan , 2017 .
[29] B. Locatelli,et al. Research Priorities for the Conservation and Sustainable Governance of Andean Forest Landscapes , 2017, Mountain Research and Development.
[30] D. Laughlin,et al. Constraints on trait combinations explain climatic drivers of biodiversity: the importance of trait covariance in community assembly. , 2017, Ecology letters.
[31] Catherine Badgley,et al. Biodiversity and Topographic Complexity: Modern and Geohistorical Perspectives. , 2017, Trends in ecology & evolution.
[32] Jiqiang Guo,et al. Stan: A Probabilistic Programming Language. , 2017, Journal of statistical software.
[33] Roberta E. Martin,et al. Convergent elevation trends in canopy chemical traits of tropical forests , 2016, Global change biology.
[34] Christopher Baraloto,et al. A global meta-analysis of the relative extent of intraspecific trait variation in plant communities. , 2015, Ecology letters.
[35] N. Swenson,et al. Commonness, rarity, and intraspecific variation in traits and performance in tropical tree seedlings. , 2015, Ecology letters.
[36] P. Stevenson,et al. Thermophilization of adult and juvenile tree communities in the northern tropical Andes , 2015, Proceedings of the National Academy of Sciences.
[37] Jürgen Homeier,et al. Is tropical montane forest heterogeneity promoted by a resource-driven feedback cycle? Evidence from nutrient relations, herbivory and litter decomposition along a topographical gradient , 2015 .
[38] Y. Kuang,et al. Untangling the influence of phylogeny, soil and climate on leaf element concentrations in a biodiversity hotspot , 2015 .
[39] D. Spracklen,et al. Tropical montane forests are a larger than expected global carbon store , 2014 .
[40] P. Reich. The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto , 2014 .
[41] Shijo Joseph,et al. Consistent response of vegetation dynamics to recent climate change in tropical mountain regions , 2014, Global change biology.
[42] Roberta E. Martin,et al. Herbivory makes major contributions to ecosystem carbon and nutrient cycling in tropical forests. , 2013, Ecology letters.
[43] M. Betancourt,et al. Hamiltonian Monte Carlo for Hierarchical Models , 2013, 1312.0906.
[44] David A. Wardle,et al. Contrasting effects of plant inter‐ and intraspecific variation on community‐level trait measures along an environmental gradient , 2013 .
[45] Shinichi Nakagawa,et al. A general and simple method for obtaining R2 from generalized linear mixed‐effects models , 2013 .
[46] A. Newton. Tropical Montane Cloud Forests: Science for Conservation and Management , 2012 .
[47] Jürgen Homeier,et al. Tropical Andean Forests Are Highly Susceptible to Nutrient Inputs—Rapid Effects of Experimental N and P Addition to an Ecuadorian Montane Forest , 2012, PloS one.
[48] E. Veldkamp,et al. Nitrogen availability links forest productivity, soil nitrous oxide and nitric oxide fluxes of a tropical montane forest in southern Ecuador , 2011 .
[49] H. Marschner,et al. Marschner's Mineral Nutrition of Higher Plants , 2011 .
[50] Wilfried Thuiller,et al. Quantifying the relevance of intraspecific trait variability for functional diversity , 2011 .
[51] Sandra Díaz,et al. Global patterns of leaf mechanical properties. , 2011, Ecology letters.
[52] Wilfried Thuiller,et al. A multi‐trait approach reveals the structure and the relative importance of intra‐ vs. interspecific variability in plant traits , 2010 .
[53] Sandra Díaz,et al. Scaling environmental change through the community‐level: a trait‐based response‐and‐effect framework for plants , 2008 .
[54] J. Homeier,et al. Soil properties and tree growth along an altitudinal transect in Ecuadorian tropical montane forest , 2008 .
[55] Christoph Leuschner,et al. Large altitudinal increase in tree root/shoot ratio in tropical mountain forests of Ecuador , 2007 .
[56] Sean C. Thomas,et al. The worldwide leaf economics spectrum , 2004, Nature.
[57] Ülo Niinemets,et al. Research review. Components of leaf dry mass per area – thickness and density – alter leaf photosynthetic capacity in reverse directions in woody plants , 1999 .
[58] Weather Roulette,et al. Climate , 1858, The Sanitary Review and Journal of Public Health.
[59] Jörg Bendix,et al. Ecosystem Services, Biodiversity and Environmental Change in a Tropical Mountain Ecosystem of South Ecuador , 2013, Ecological Studies.
[60] Jürgen Homeier,et al. The Carbon Balance of Tropical Mountain Forests Along an Altitudinal Transect , 2013 .
[61] John K. Kruschke,et al. Tutorial: Doing Bayesian Data Analysis with R and BUGS , 2011, CogSci.
[62] Peter Dalgaard,et al. R Development Core Team (2010): R: A language and environment for statistical computing , 2010 .
[63] Jörg Bendix,et al. Gradients in a Tropical Mountain Ecosystem of Ecuador , 2008 .
[64] J. O H A N N E,et al. Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants , 2008 .
[65] F. Werner,et al. Flora and Fungi: Composition and Function , 2008 .
[66] Gregory P Asner,et al. Controls over foliar N:P ratios in tropical rain forests. , 2007, Ecology.
[67] Gábor Csárdi,et al. The igraph software package for complex network research , 2006 .