Integrating multiple plant functional traits to predict ecosystem productivity
暂无分享,去创建一个
Kailiang Yu | N. He | Koenraad Van Meerbeek | Li Xu | Pu Yan
[1] S. Niu,et al. Predicting ecosystem productivity based on plant community traits. , 2022, Trends in plant science.
[2] P. Hietz,et al. Global relationships in tree functional traits , 2022, Nature Communications.
[3] F. Schrodt,et al. Biodiversity alleviates the decrease of grassland multifunctionality under grazing disturbance: A global meta‐analysis , 2021, Global Ecology and Biogeography.
[4] B. Schmid,et al. Aridity-driven shift in biodiversity–soil multifunctionality relationships , 2021, Nature Communications.
[5] T. A. Black,et al. The three major axes of terrestrial ecosystem function , 2021, Nature.
[6] B. Muller,et al. Plant growth: the What, the How, and the Why. , 2021, The New phytologist.
[7] B. Muys,et al. Above‐ and below‐ground complementarity rather than selection drive tree diversity–productivity relationships in European forests , 2021, Functional Ecology.
[8] Ying Li,et al. How to Improve the Predictions of Plant Functional Traits on Ecosystem Functioning? , 2021, Frontiers in Plant Science.
[9] Jinwei Dong,et al. A global moderate resolution dataset of gross primary production of vegetation for 2000–2016 , 2017, Scientific Data.
[10] N. Swenson,et al. Improving predictions of tropical tree survival and growth by incorporating measurements of whole leaf allocation , 2020, Journal of Ecology.
[11] J. Peñuelas,et al. The role of climate, foliar stoichiometry and plant diversity on ecosystem carbon balance , 2020, Global change biology.
[12] E. Schulze,et al. Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning , 2020, Nature Ecology & Evolution.
[13] H. Shugart,et al. Using climate‐driven leaf phenology and growth to improve predictions of gross primary productivity in North American forests , 2020, Global change biology.
[14] P. Ciais,et al. Increasing atmospheric CO2 concentrations correlate with declining nutritional status of European forests , 2020, Communications Biology.
[15] Jirimutu,et al. Whole-genome sequencing of 128 camels across Asia reveals origin and migration of domestic Bactrian camels , 2020, Communications Biology.
[16] P. Reich,et al. Leaf size of woody dicots predicts ecosystem primary productivity , 2019, Ecology letters.
[17] Nathan J B Kraft,et al. The relationship of woody plant size and leaf nutrient content to large‐scale productivity for forests across the Americas , 2019, Journal of Ecology.
[18] M. Tschapka,et al. Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions , 2019, Nature.
[19] S. Piao,et al. Ecosystem Traits Linking Functional Traits to Macroecology. , 2019, Trends in ecology & evolution.
[20] Lisa Patrick Bentley,et al. Climate shapes and shifts functional biodiversity in forests worldwide , 2018, Proceedings of the National Academy of Sciences.
[21] L. Schipper,et al. The optimum temperature of soil microbial respiration: Patterns and controls , 2018, Soil Biology and Biochemistry.
[22] N. Swenson,et al. Why Functional Traits Do Not Predict Tree Demographic Rates. , 2018, Trends in ecology & evolution.
[23] A. Kerkhoff,et al. Drivers of terrestrial plant production across broad geographical gradients , 2018 .
[24] Tao Wang,et al. Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years , 2018, Global change biology.
[25] Paul-Christian Bürkner,et al. Advanced Bayesian Multilevel Modeling with the R Package brms , 2017, R J..
[26] Guirui Yu,et al. C:N:P stoichiometry in China's forests: From organs to ecosystems , 2018 .
[27] Roberta E. Martin,et al. Assessing trait‐based scaling theory in tropical forests spanning a broad temperature gradient , 2017 .
[28] Gabriela Schaepman-Strub,et al. Biodiversity promotes primary productivity and growing season lengthening at the landscape scale , 2017, Proceedings of the National Academy of Sciences.
[29] I. C. Prentice,et al. Global climatic drivers of leaf size , 2017, Science.
[30] Paul-Christian Bürkner,et al. brms: An R Package for Bayesian Multilevel Models Using Stan , 2017 .
[31] Roberta E. Martin,et al. Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient. , 2017, Ecology letters.
[32] J. Funk,et al. Revisiting the Holy Grail: using plant functional traits to understand ecological processes , 2017, Biological reviews of the Cambridge Philosophical Society.
[33] C. Field,et al. Canopy near-infrared reflectance and terrestrial photosynthesis , 2017, Science Advances.
[34] Larissa Albantakis,et al. Unifying concepts of biological function from molecules to ecosystems , 2017, bioRxiv.
[35] Olaf Conrad,et al. Climatologies at high resolution for the earth’s land surface areas , 2016, Scientific Data.
[36] Aki Vehtari,et al. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC , 2015, Statistics and Computing.
[37] Arshad Ali,et al. Community-weighted mean of leaf traits and divergence of wood traits predict aboveground biomass in secondary subtropical forests. , 2017, The Science of the total environment.
[38] G. Mohren,et al. Towards a multidimensional root trait framework: a tree root review. , 2016, The New phytologist.
[39] Jorge Cadima,et al. Principal component analysis: a review and recent developments , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[40] Guirui Yu,et al. Coordinated pattern of multi-element variability in leaves and roots across Chinese forest biomes , 2016 .
[41] J. Chave,et al. Does climate directly influence NPP globally? , 2016, Global change biology.
[42] Nadejda A. Soudzilovskaia,et al. The global spectrum of plant form and function: enhanced species-level trait dataset , 2022, Scientific Data.
[43] Aki Vehtari,et al. Efficient Leave-One-Out Cross-Validation and WAIC for BayesianModels , 2015 .
[44] Jonathan S. Lefcheck,et al. piecewiseSEM: Piecewise structural equation modelling in r for ecology, evolution, and systematics , 2015, 1509.01845.
[45] Jin-Sheng He,et al. The links between ecosystem multifunctionality and above- and belowground biodiversity are mediated by climate , 2015, Nature Communications.
[46] Olivier Bouriaud,et al. Crown plasticity enables trees to optimize canopy packing in mixed-species forests , 2015 .
[47] P. Blanken,et al. Joint control of terrestrial gross primary productivity by plant phenology and physiology , 2015, Proceedings of the National Academy of Sciences.
[48] Markus Reichstein,et al. Linking plant and ecosystem functional biogeography , 2014, Proceedings of the National Academy of Sciences.
[49] P. Reich. The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto , 2014 .
[50] R. B. Jackson,et al. Increases in the flux of carbon belowground stimulate nitrogen uptake and sustain the long-term enhancement of forest productivity under elevated CO₂. , 2011, Ecology letters.
[51] F. Woodward,et al. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate , 2010, Science.
[52] B. McGill. Matters of Scale , 2010, Science.
[53] M. Conner,et al. Methods to quantify variable importance: implications for the analysis of noisy ecological data. , 2009, Ecology.
[54] Sandra Díaz,et al. Scaling environmental change through the community‐level: a trait‐based response‐and‐effect framework for plants , 2008 .
[55] 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 .
[56] C. Violle,et al. Let the concept of trait be functional , 2007 .
[57] Bill Shipley,et al. Net assimilation rate, specific leaf area and leaf mass ratio: which is most closely correlated with relative growth rate? A meta‐analysis , 2006 .
[58] A. Kerkhoff,et al. Plant allometry, stoichiometry and the temperature-dependence of primary productivity , 2005 .
[59] Vijayan N. Nair,et al. A REVIEW AND RECENT DEVELOPMENTS , 2005 .
[60] Eric Garnier,et al. PLANT FUNCTIONAL MARKERS CAPTURE ECOSYSTEM PROPERTIES DURING SECONDARY SUCCESSION , 2004 .
[61] Sean C. Thomas,et al. The worldwide leaf economics spectrum , 2004, Nature.
[62] Ralph Mac Nally,et al. Hierarchical Partitioning Public-domain Software , 2004, Biodiversity & Conservation.
[63] F Stuart Chapin,et al. Effects of plant traits on ecosystem and regional processes: a conceptual framework for predicting the consequences of global change. , 2003, Annals of botany.
[64] S. Lavorel,et al. Predicting changes in community composition and ecosystem functioning from plant traits: revisiting the Holy Grail , 2002 .
[65] P. Reich,et al. From tropics to tundra: global convergence in plant functioning. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[66] Ross Hawkins,et al. The how and the why , 1997 .
[67] E. Garnier,et al. Resource capture, biomass allocation and growth in herbaceous plants. , 1991, Trends in ecology & evolution.
[68] J. Monteith. Climate and the efficiency of crop production in Britain , 1977 .