Minding the gap: Range size and economic use drive functional trait data gaps in the Atlantic forest
暂无分享,去创建一个
Ana Carolina Petisco-Souza | S. Jansen | Ü. Niinemets | M. Marques | V. Pillar | F. T. Brum | A. S. Dias | Andrés González-Melo | G. G. Mazzochini | M. B. Carlucci | Vinícius Marcilio-Silva | V. P. Zwiener | Ê. Sosinski | Andressa Zanella
[1] M. Pärtel,et al. Fine-root traits in the global spectrum of plant form and function , 2021, Nature.
[2] W. Ulrich,et al. Ecosystem functions in degraded riparian forests of southeastern Kenya , 2021, Ecology and evolution.
[3] Vanessa M. Adams,et al. A guide to using species trait data in conservation , 2021, One Earth.
[4] M. Marques,et al. The Atlantic Forest: An Introduction to the Megadiverse Forest of South America , 2021 .
[5] M. Marques,et al. Tree Diversity in the Brazilian Atlantic Forest: Biases and General Patterns Using Different Sources of Information , 2021 .
[6] Nadejda A. Soudzilovskaia,et al. Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs. , 2020, The New phytologist.
[7] P. Brancalion,et al. Functional traits and ecosystem services in ecological restoration , 2020, Restoration Ecology.
[8] A. Paviolo,et al. Handling missing values in trait data , 2020, Global Ecology and Biogeography.
[9] T. Perez,et al. Herbarium-based measurements reliably estimate three functional traits. , 2020, American journal of botany.
[10] M. Rillig,et al. Root trait responses to drought are more heterogeneous than leaf trait responses , 2020, Functional Ecology.
[11] W. Ulrich,et al. Ecosystem functions in natural and anthropogenic ecosystems across the East African coastal forest landscape , 2020, Biotropica.
[12] Denis Bastianelli,et al. TRY plant trait database - enhanced coverage and open access. , 2019, Global change biology.
[13] A. Zanne,et al. What we (don't) know about global plant diversity , 2019, Ecography.
[14] L. Beaumont,et al. Taxonomic shortfalls in digitised collections of Australia’s flora , 2019, Biodiversity and Conservation.
[15] P. Reich,et al. When Do Ecosystem Services Depend on Rare Species? , 2019, Trends in ecology & evolution.
[16] Alexander Christian Vibrans,et al. Towards the Fulfillment of a Knowledge Gap: Wood Densities for Species of the Subtropical Atlantic Forest , 2019, Data.
[17] E. Meron,et al. The relative contributions of functional diversity and functional identity to ecosystem function in water‐limited environments , 2019, Journal of Vegetation Science.
[18] Adalberto J. Santos,et al. Modelling Highly Biodiverse Areas in Brazil , 2019, Scientific Reports.
[19] Guiyao Zhou,et al. Drought-induced changes in root biomass largely result from altered root morphological traits: Evidence from a synthesis of global field trials. , 2018, Plant, cell & environment.
[20] Elvire Bestion,et al. Changes in temperature alter the relationship between biodiversity and ecosystem functioning , 2018, Proceedings of the National Academy of Sciences.
[21] P. D. M. Júnior,et al. A gap in the woods: Wood density knowledge as impediment to develop sustainable use in Atlantic Forest , 2018, Forest Ecology and Management.
[22] Jeremy W. Lichstein,et al. Shifts in tree functional composition amplify the response of forest biomass to climate , 2018, Nature.
[23] Brian J. McGill,et al. The bien r package: A tool to access the Botanical Information and Ecology Network (BIEN) database , 2017 .
[24] M. Marques,et al. Planning for conservation and restoration under climate and land use change in the Brazilian Atlantic Forest , 2017 .
[25] M. Cadotte,et al. Functional traits explain ecosystem function through opposing mechanisms. , 2017, Ecology letters.
[26] B. A. Hawkins,et al. Structural bias in aggregated species‐level variables driven by repeated species co‐occurrences: a pervasive problem in community and assemblage data , 2017 .
[27] Akira Mori,et al. Biodiversity and ecosystem services in forest ecosystems: a research agenda for applied forest ecology , 2017 .
[28] Sebastian T. Meyer,et al. Handbook of field protocols for using REFA methods to approximate ecosystem functions - Version 1.0 , 2017 .
[29] F. Silveira,et al. Assessing bias and knowledge gaps on seed ecology research: implications for conservation agenda and policy. , 2016, Ecological applications : a publication of the Ecological Society of America.
[30] Adalberto J. Santos,et al. The strong influence of collection bias on biodiversity knowledge shortfalls of Brazilian terrestrial biodiversity , 2016 .
[31] R. Mcmanamay,et al. Filling in the GAPS: evaluating completeness and coverage of open‐access biodiversity databases in the United States , 2016, Ecology and evolution.
[32] S. Williams,et al. Rare species contribute disproportionately to the functional structure of species assemblages , 2016, Proceedings of the Royal Society B: Biological Sciences.
[33] J. Lobo,et al. Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity , 2015 .
[34] Anuj Karpatne,et al. BHPMF – a hierarchical Bayesian approach to gap-filling and trait prediction for macroecology and functional biogeography , 2015 .
[35] F. Scarano,et al. Brazilian Atlantic forest: impact, vulnerability, and adaptation to climate change , 2015, Biodiversity and Conservation.
[36] Brody Sandel,et al. Estimating themissing species bias in plant trait measurements , 2015 .
[37] Ricardo A Correia,et al. Geographic trends and information deficits in Amazonian conservation research , 2015, Biodiversity and Conservation.
[38] S. Dray,et al. Principal component analysis with missing values: a comparative survey of methods , 2015, Plant Ecology.
[39] L. Mommer,et al. Going underground: root traits as drivers of ecosystem processes. , 2014, Trends in ecology & evolution.
[40] B. Young,et al. Imputation of missing data in life‐history trait datasets: which approach performs the best? , 2014 .
[41] D. Laughlin,et al. Applying trait-based models to achieve functional targets for theory-driven ecological restoration 1 Appendix S 1 . User ’ s guide and R code for applying trait-based models in ecological restoration Getting started , 2014 .
[42] B. Soares-Filho,et al. Cracking Brazil's Forest Code , 2014, Science.
[43] P. Reich. The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto , 2014 .
[44] Nathan G. Swenson,et al. Phylogenetic imputation of plant functional trait databases , 2014 .
[45] R. Corlett,et al. Will plant movements keep up with climate change? , 2013, Trends in ecology & evolution.
[46] Wilfried Thuiller,et al. Rare Species Support Vulnerable Functions in High-Diversity Ecosystems , 2013, PLoS biology.
[47] M. Kessler,et al. Non-geographic collecting biases in herbarium specimens of Australian daisies (Asteraceae) , 2013, Biodiversity and Conservation.
[48] A. P. Schaffers,et al. Too good to be true: pitfalls of using mean Ellenberg indicator values in vegetation analyses , 2012 .
[49] Fiona J. Thomson,et al. Seed dispersal distance is more strongly correlated with plant height than with seed mass , 2011 .
[50] Pedro Cardoso,et al. The seven impediments in invertebrate conservation and how to overcome them , 2011 .
[51] E. Ezcurra,et al. Sampling procedures and species estimation: testing the effectiveness of herbarium data against vegetation sampling in an oceanic island , 2011 .
[52] C. Ricotta,et al. Accounting for uncertainty when mapping species distributions: The need for maps of ignorance , 2011 .
[53] Sandra Lavorel,et al. Using plant functional traits to understand the landscape distribution of multiple ecosystem services , 2011 .
[54] D. Brito. Overcoming the Linnean shortfall: Data deficiency and biological survey priorities , 2010 .
[55] Jaboury Ghazoul,et al. Forest conversion and provision of ecosystem services in the Brazilian Atlantic Forest , 2010 .
[56] Carolyn Hull Sieg,et al. A multi‐trait test of the leaf‐height‐seed plant strategy scheme with 133 species from a pine forest flora , 2010 .
[57] L. Poorter,et al. The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species. , 2010, The New phytologist.
[58] J. Chave,et al. Towards a Worldwide Wood Economics Spectrum 2 . L E a D I N G D I M E N S I O N S I N W O O D F U N C T I O N , 2022 .
[59] Richard York,et al. Global biodiversity decline of marine and freshwater fish: A cross-national analysis of economic, demographic, and ecological influences , 2008 .
[60] Fernando Valladares,et al. Ecological limits to plant phenotypic plasticity. , 2007, The New phytologist.
[61] J. Diniz‐Filho,et al. Red herrings revisited: spatial autocorrelation and parameter estimation in geographical ecology , 2007 .
[62] Alberto Jiménez-Valverde,et al. Limitations of Biodiversity Databases: Case Study on Seed‐Plant Diversity in Tenerife, Canary Islands , 2007, Conservation biology : the journal of the Society for Conservation Biology.
[63] C. Violle,et al. Let the concept of trait be functional , 2007 .
[64] Mark Westoby,et al. Land-plant ecology on the basis of functional traits. , 2006, Trends in ecology & evolution.
[65] Mark Westoby,et al. A leaf-height-seed (LHS) plant ecology strategy scheme , 1998, Plant and Soil.
[66] P. Reich,et al. A handbook of protocols for standardised and easy measurement of plant functional traits worldwide , 2003 .
[67] M. Westoby,et al. ECOLOGICAL STRATEGIES : Some Leading Dimensions of Variation Between Species , 2002 .
[68] David R. Anderson,et al. Model Selection and Inference: A Practical Information-Theoretic Approach , 2001 .
[69] Roderick Hunt,et al. Allocating C-S-R plant functional types : a soft approach to a hard problem , 1999 .
[70] Peter J. Edwards,et al. The value of biodiversity : Where ecology and economy blend , 1998 .