Mapping local and global variability in plant trait distributions.

نویسندگان

  • Ethan E Butler
  • Abhirup Datta
  • Habacuc Flores-Moreno
  • Ming Chen
  • Kirk R Wythers
  • Farideh Fazayeli
  • Arindam Banerjee
  • Owen K Atkin
  • Jens Kattge
  • Bernard Amiaud
  • Benjamin Blonder
  • Gerhard Boenisch
  • Ben Bond-Lamberty
  • Kerry A Brown
  • Chaeho Byun
  • Giandiego Campetella
  • Bruno E L Cerabolini
  • Johannes H C Cornelissen
  • Joseph M Craine
  • Dylan Craven
  • Franciska T de Vries
  • Sandra Díaz
  • Tomas F Domingues
  • Estelle Forey
  • Andrés González-Melo
  • Nicolas Gross
  • Wenxuan Han
  • Wesley N Hattingh
  • Thomas Hickler
  • Steven Jansen
  • Koen Kramer
  • Nathan J B Kraft
  • Hiroko Kurokawa
  • Daniel C Laughlin
  • Patrick Meir
  • Vanessa Minden
  • Ülo Niinemets
  • Yusuke Onoda
  • Josep Peñuelas
  • Quentin Read
  • Lawren Sack
  • Brandon Schamp
  • Nadejda A Soudzilovskaia
  • Marko J Spasojevic
  • Enio Sosinski
  • Peter E Thornton
  • Fernando Valladares
  • Peter M van Bodegom
  • Mathew Williams
  • Christian Wirth
  • Peter B Reich
چکیده

Our ability to understand and predict the response of ecosystems to a changing environment depends on quantifying vegetation functional diversity. However, representing this diversity at the global scale is challenging. Typically, in Earth system models, characterization of plant diversity has been limited to grouping related species into plant functional types (PFTs), with all trait variation in a PFT collapsed into a single mean value that is applied globally. Using the largest global plant trait database and state of the art Bayesian modeling, we created fine-grained global maps of plant trait distributions that can be applied to Earth system models. Focusing on a set of plant traits closely coupled to photosynthesis and foliar respiration-specific leaf area (SLA) and dry mass-based concentrations of leaf nitrogen ([Formula: see text]) and phosphorus ([Formula: see text]), we characterize how traits vary within and among over 50,000 [Formula: see text]-km cells across the entire vegetated land surface. We do this in several ways-without defining the PFT of each grid cell and using 4 or 14 PFTs; each model's predictions are evaluated against out-of-sample data. This endeavor advances prior trait mapping by generating global maps that preserve variability across scales by using modern Bayesian spatial statistical modeling in combination with a database over three times larger than that in previous analyses. Our maps reveal that the most diverse grid cells possess trait variability close to the range of global PFT means.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mapping QTLs related to Zn and Fe concentrations in bread wheat (Triticum aestivum) grain using microsatellite markers

Mineral nutrient malnutrition, particularly deficiency in zinc and iron, afflicts over 3 billion people worldwide. Biofortification of food crops is the best approach for conciliating the micronutrient deficiencies. Understanding the genetic basis of their accumulation is the preconditions for enhancing of these micronutrients. In our study, a mapping population of a set of 118 recombinant inbr...

متن کامل

Identification of QTLs for grain yield and some agro-morphological traits in sunflower (Helianthus annuus L.) using SSR and SNP markers

Many agriculturally important traits are complex, affected by many genes and the environment. Quantitative trait loci (QTL) mapping is a key tool for studying the genetic structure of complex traits in plants. In the present study QTLs associated with yield and agronomical traits such as leaf number, leaf length, leaf width, plant height, stem and head diameter were identified by using 70 recom...

متن کامل

Genetic Mapping of Blooming Time in ‘Marcona’ × ‘Fragness’ Population with Using Molecular Markers

Flowering time is an important horticultural trait in almond since it is essential to avoid the late frosts that affect production in early flowering cultivars. Evaluation of this complex trait is a long process because of the prolonged juvenile period of trees and the influence of environmental conditions affecting gene expression year by year. In this research flowering time was studied in an...

متن کامل

Analysis of spatial variability of soil properties using geostatistics and remote sensing

Soil mapping is one of the basic studies in the natural resource sector. The purpose of this study was to analyze spatial of soil properties on the map of arid areas and deserts. For this purpose, a region with an area of 600 hectares in Qom that considered Salt Lake watershed. Specified methods used include inverse distance methods, radial functions, and prediction local general estimate. Krig...

متن کامل

QTL mapping of heading date and plant height in Barley cross “Azumamugi”דKanto Nakate Gold

To identify quantitative trait loci (QTLs) controlling heading date and plant height, ninety nine F13 recombinant inbred lines (RILs) derived from barley cultivars Azumamugi × Kanto Nakate Gold cross were evaluated. The field trails were conducted at randomized complete block design with two and three replications in 2004 and 2005, respectively. Significant differences and transgrassive segrega...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Proceedings of the National Academy of Sciences of the United States of America

دوره 114 51  شماره 

صفحات  -

تاریخ انتشار 2017