Pan-Tropical Analysis of Climate Effects on Seasonal Tree Growth
Publication Date
March 26, 2014
Journal
PLOS ONE
Authors
Fabien Wagner, Vivien Rossi, Mélaine Aubry Kientz, Damien Bonal, et al
Volume
9
Issue
3
Pages
e92337
DOI
https://dx.plos.org/10.1371/journal.pone.0092337
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0092337
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/24670981
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3966775
Europe PMC
http://europepmc.org/abstract/MED/24670981
Web of Science
000333677000040
Scopus
84899908925
Mendeley
http://www.mendeley.com/research/pantropical-analysis-climate-effects-seasonal-tree-growth
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Mendeley | Further Information

{"title"=>"Pan-tropical analysis of climate effects on seasonal tree growth", "type"=>"journal", "authors"=>[{"first_name"=>"Fabien", "last_name"=>"Wagner", "scopus_author_id"=>"35763219600"}, {"first_name"=>"Vivien", "last_name"=>"Rossi", "scopus_author_id"=>"7102959087"}, {"first_name"=>"Mélaine", "last_name"=>"Aubry-Kientz", "scopus_author_id"=>"55671858100"}, {"first_name"=>"Damien", "last_name"=>"Bonal", "scopus_author_id"=>"17345184600"}, {"first_name"=>"Helmut", "last_name"=>"Dalitz", "scopus_author_id"=>"16030545600"}, {"first_name"=>"Robert", "last_name"=>"Gliniars", "scopus_author_id"=>"54941389100"}, {"first_name"=>"Clément", "last_name"=>"Stahl", "scopus_author_id"=>"36599382300"}, {"first_name"=>"Antonio", "last_name"=>"Trabucco", "scopus_author_id"=>"23480785300"}, {"first_name"=>"Bruno", "last_name"=>"Hérault", "scopus_author_id"=>"8715617900"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"373038521", "sgr"=>"84899908925", "issn"=>"19326203", "pmid"=>"24670981", "scopus"=>"2-s2.0-84899908925", "doi"=>"10.1371/journal.pone.0092337", "isbn"=>"3288"}, "id"=>"f8b24e9a-9181-3ab2-b413-1f54b6371df1", "abstract"=>"Climate models predict a range of changes in tropical forest regions, including increased average temperatures, decreased total precipitation, reduced soil moisture and alterations in seasonal climate variations. These changes are directly related to the increase in anthropogenic greenhouse gas concentrations, primarily CO2. Assessing seasonal forest growth responses to climate is of utmost importance because woody tissues, produced by photosynthesis from atmospheric CO2, water and light, constitute the main component of carbon sequestration in the forest ecosystem. In this paper, we combine intra-annual tree growth measurements from published tree growth data and the corresponding monthly climate data for 25 pan-tropical forest sites. This meta-analysis is designed to find the shared climate drivers of tree growth and their relative importance across pan-tropical forests in order to improve carbon uptake models in a global change context. Tree growth reveals significant intra-annual seasonality at seasonally dry sites or in wet tropical forests. Of the overall variation in tree growth, 28.7% was explained by the site effect, i.e. the tree growth average per site. The best predictive model included four climate variables: precipitation, solar radiation (estimated with extrasolar radiation reaching the atmosphere), temperature amplitude and relative soil water content. This model explained more than 50% of the tree growth variations across tropical forests. Precipitation and solar radiation are the main seasonal drivers of tree growth, causing 19.8% and 16.3% of the tree growth variations. Both have a significant positive association with tree growth. These findings suggest that forest productivity due to tropical tree growth will be reduced in the future if climate extremes, such as droughts, become more frequent.", "link"=>"http://www.mendeley.com/research/pantropical-analysis-climate-effects-seasonal-tree-growth", "reader_count"=>99, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Professor > Associate Professor"=>5, "Student > Doctoral Student"=>5, "Researcher"=>27, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>5, "Student > Master"=>14, "Other"=>3, "Student > Bachelor"=>7, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Professor > Associate Professor"=>5, "Student > Doctoral Student"=>5, "Researcher"=>27, "Student > Ph. D. Student"=>24, "Student > Postgraduate"=>5, "Student > Master"=>14, "Other"=>3, "Student > Bachelor"=>7, "Lecturer"=>2, "Lecturer > Senior Lecturer"=>1, "Professor"=>3}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Environmental Science"=>35, "Mathematics"=>1, "Agricultural and Biological Sciences"=>46, "Social Sciences"=>2, "Computer Science"=>1, "Earth and Planetary Sciences"=>8}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>8}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>46}, "Computer Science"=>{"Computer Science"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>35}}, "reader_count_by_country"=>{"French Guiana"=>1, "United States"=>3, "Panama"=>1, "Japan"=>1, "Chile"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1436023"], "description"=>"a<p>: expected growth response to the climate variable: (+) trees are expected to grow faster with high values of the climate variable, (−) trees are expected to grow slower with high values of the climate variable. <i><sup>b</sup></i>: biological processes involve in the tree growth response to a given climate variation. <i>VPD</i> is vapour pressure deficit, and Friction velocity (<i>U*</i>) is a climate variable provided by eddy flux data, which is correlated with wind speed. Relative extractable water (REW), is a daily value between 0 and 1; when , the amount of extractable water by the tree is at its maximum and when , no water is available for the trees <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092337#pone.0092337-Wagner1\" target=\"_blank\">[28]</a>.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics"], "article_id"=>975008, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.t001", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Expected_tropical_tree_growth_response_to_climate_variables_/975008", "title"=>"Expected tropical tree growth response to climate variables.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436021"], "description"=>"a<p>: <i>sol</i> per day (mm/day equivalent) is calculated using the methodology presented in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092337#pone.0092337-Allen2\" target=\"_blank\">[39]</a> specifically for the 15<i><sup>th</sup></i> day of each month to describe averages per month. Total <i>sol</i> per month (mm/month equivalent) is calculated by multiplying the value of sol for the 15th day of the month by the number of days in the month, 1 mm.day<sup>−1</sup> equivalent of evaporation  =  2.45 MJ.m<sup>−2</sup>.day<sup>−1</sup>.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "datasets", "seasonal", "pantropical"], "article_id"=>975006, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.t002", "stats"=>{"downloads"=>4, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Climate_datasets_used_to_model_seasonal_tropical_tree_growth_at_a_pantropical_scale_/975006", "title"=>"Climate datasets used to model seasonal tropical tree growth at a pantropical scale.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436018"], "description"=>"<p>The red line represents a cubic smoothing spline.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "deviation", "studied"], "article_id"=>975003, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.g003", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Evolution_of_mean_monthly_tree_growth_values_and_standard_deviation_for_the_studied_forest_sites_/975003", "title"=>"Evolution of mean monthly tree growth values and standard deviation for the studied forest sites.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436017"], "description"=>"<p><i>cld</i>: cloud cover; <i>pre</i>: precipitation; <i>sol</i>: extraterrestrial solar radiation; <i>tmp</i>, <i>tmn</i> and <i>tmx</i> are respectively the daily mean, minimal and maximal temperatures; <i>dtr</i>: temperature amplitude; <i>vap</i>: vapour pressure; <i>pet</i>: potential evapotranspiration; and <i>swc</i>: relative soil water content. (a) correlation circle of axis 1 and 2; (b) correlation circle of axis 1 and 3; (c) projection of the country classes on the pca axis, India (Indi), Uganda (Uga), Brazil (Bra), Mexico (Mex), Costa Rica (CR), Kenya (Ken), Ivory Coast (IC), DRC (DRC), Indonesia (Indo), Ethiopia (Eth), French Guiana (FG), Ghana (Gha), Ecuador (Ec), Venezuela (Ven), Malaysia (Ma), Thailand (Th); (d) projection of the continental classes on the pca axis; and (e) projection of the global ecological zones on the pca axis (i.e. Tropical rainforest, Tropical moist deciduous forest, Tropical dry forest, Tropical mountain system and Subtropical humid forest). Note that axis 1 and 2 explain 41.70% and 28.12% of the total variation respectively, (a). The third axis explained 11.30% of the variance and was linked negatively to <i>sol</i> and <i>pre</i>, (b).</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics"], "article_id"=>975002, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.g002", "stats"=>{"downloads"=>1, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Principal_component_analysis_of_the_climate_variables_/975002", "title"=>"Principal component analysis of the climate variables.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436026"], "description"=>"<p>Month  =  1 corresponds to January. The amplitude is the difference between the higher and lower points in mm.month<sup>−1</sup> of the sinusoid fitted in the cosinor analysis. The phase and the low phase are, respectively, the month with the highest/lowest tree growth value according to the sinusoid fitted in the cosinor analysis. A indicates that the statistically significant existence of a seasonal pattern cannot be rejected.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "cosinor", "studied"], "article_id"=>975011, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.t005", "stats"=>{"downloads"=>9, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Seasonality_of_mean_monthly_tree_growth_with_cosinor_analysis_for_the_studied_sites_/975011", "title"=>"Seasonality of mean monthly tree growth with cosinor analysis for the studied sites.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436025"], "description"=>"<p>Descriptive statistics of climate variables: Annual mean; coefficient of variation of annual means () and coefficient of variation of monthly values () of precipitation (pre); potential evapotranspiration (pet); minimal, mean and maximal temperatures (respectively tmn, tmp and tmx); daily temperature amplitude (dtr); soil water content (swc); vapour pressure (vap); cloud cover (cld); and extraterrestrial solar radiation (sol). Coefficients of variations (standard deviation divided by the mean of the variable) of monthly climate time series are computed over the period of the CRU data (1901–2009). <i><sup>a</sup></i> Globale Ecological Zone defined by FAO <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0092337#pone.0092337-FAO1\" target=\"_blank\">[55]</a>; TAr: Tropical rainforest; TAwa: Tropical moist deciduous forest; TAwb: Tropical dry forest; TM: Tropical mountain system; and SCf: Subtropical humid forest.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics"], "article_id"=>975010, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.t004", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Descriptive_statistics_of_climate_variables_/975010", "title"=>"Descriptive statistics of climate variables.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436020"], "description"=>"<p>Predictions were computed using <i>pre</i>, <i>sol</i>, mean <i>dtr</i>, mean <i>swc</i> and mean of the random effect. The extra solar radiation unit is equivalent of evaporation in mm.month<sup>−1</sup>, 1 mm.month<sup>−1</sup> equivalent of evaporation  =  2.45 MJ.m<sup>−2</sup>.month<sup>−1</sup>.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "diameter", "precipitation"], "article_id"=>975005, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.g005", "stats"=>{"downloads"=>0, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predicted_diameter_at_breast_height_dbh_growth_under_the_model_m_BIC_and_relationship_with_precipitation_and_extra_solar_radiation_/975005", "title"=>"Predicted diameter at breast height (dbh) growth under the model <i>m<sub>BIC</sub></i> and relationship with precipitation and extra solar radiation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436019"], "description"=>"<p>The red line is the identity line y  =  x. Note that the model underestimated the diameter growth above 1 mm.month<sup>−1</sup>.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "diameter"], "article_id"=>975004, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.g004", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Observed_versus_predicted_diameter_at_breast_height_dbh_growth_under_the_model_m_BIC_/975004", "title"=>"Observed versus predicted diameter at breast height (dbh) growth under the model m<i><sub>BIC</sub></i>.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436016"], "description"=>"<p>1: Attapadi; 2: Budongo; 3: CPM; 4: El Palmar; 5: FLONA SFP; 6: Guanacaste; 7: Ibicatu; 8: Kakamega; 9: La Barcinera; 10: La Selva; 11: Lamto; 12: Luki forest; 13: Marajoara; 14: Muara Bungo; 15: Munessa-Shashamene Forest; 16: Paracou; 17: Pinkwae; 18: RBSF; 19: RFC; 20: Rio Cachoiera; 21: Selangor plantation; 22: SERS; 23: Tapajos; 24: Tinte Bepo; 25: ZF-2.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "25", "sites", "countries"], "article_id"=>975001, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.g001", "stats"=>{"downloads"=>5, "page_views"=>13, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Locations_of_the_25_study_sites_and_their_countries_grey_areas_/975001", "title"=>"Locations of the 25 study sites and their countries (grey areas).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436024"], "description"=>"<p>Model parameters, standard errors and t-values. The parameter values of posterior parameters densities (MCMC median and MCMC mean) and their 95% confidence intervals (Highest posterior density at 95% [HPD95] lower and upper) and associated p-value are estimated from a distribution of 10000 parameter samples computed with Monte Carlo Markov Chains from the model parameters. Goodness-of-fit criterion of the growth models are root mean square error of prediction (RMSEP), Bayesian Information Criterion (BIC), R<sup>2</sup> of the fixed part of the model () and R<sup>2</sup> of the complete model (fixed plus random part).</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics", "posterior", "densities", "univariate"], "article_id"=>975009, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.t006", "stats"=>{"downloads"=>4, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Model_parameters_standard_errors_t_values_and_posterior_densities_of_the_univariate_and_complete_m_BIC_analyses_/975009", "title"=>"Model parameters, standard errors, t values and posterior densities of the univariate () and complete (<i>m<sub>BIC</sub></i>) analyses.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-26 02:51:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/1436022"], "description"=>"<p>Description of the data used in this analysis, references, site location, site name, latitude and longitude in °, method of measurement, number of trees, follow-up type (<i><sup>b</sup></i>: Type 1: only mean and sd for the N trees of a site per month, Type 2: mean and sd by species for a site per month and Type 3: one observation by tree for a site per month.), follow-up duration and mean ± standard deviation of monthly diameter at breast height (dbh) growth.</p>", "links"=>[], "tags"=>["Computational biology", "Ecosystem modeling", "ecology", "ecosystems", "ecosystem functioning", "Community Ecology", "Global change ecology", "Plant ecology", "Terrestrial ecology", "Plant science", "mathematics", "Statistics (mathematics)", "Biostatistics"], "article_id"=>975007, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Fabien Wagner", "Vivien Rossi", "Mélaine Aubry-Kientz", "Damien Bonal", "Helmut Dalitz", "Robert Gliniars", "Clément Stahl", "Antonio Trabucco", "Bruno Hérault"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0092337.t003", "stats"=>{"downloads"=>1, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Description_of_the_tree_growth_data_/975007", "title"=>"Description of the tree growth data.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-03-26 02:51:59"}

PMC Usage Stats | Further Information

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