6 Works

Data from: Biogeographical scenarios modulate seagrass resistance to small-scale perturbations

Fernando Tuya, Yolanda Fernández‐Torquemada, Jesús Zarcero, Yoana Del Pilar-Ruso, Ina Csenteri, Fernando Espino, Pablo Manent, Leticia Curbelo, Adriá Antich, José A. De La Ossa, Laura Royo, Inés Castejon-Silvo, Gabriele Procaccini, Jorge Terrados & Fiona Tomas
1. Seagrasses constitute a key coastal habitat worldwide, but are are exposed to multiple perturbations. Understanding elements affecting seagrass resistance to disturbances is critical for conservation. Distinct biogeographical scenarios are intrinsically linked with varying ecological and evolution backgrounds shaped across millennia. 2. We addressed whether the resistance (change in shoot abundances) and performance (change in leaf morphology and growth) of the seagrass Cymodocea nodosa to a local stressor, light reduction, varied across three regions (Southeast...

Data from: C4 savanna grasses fail to maintain assimilation in drying soil under low CO2 compared with C3 trees despite lower leaf water demand

Joe Quirk, Chandra Bellasio, David A. Johnson, Colin P. Osborne & David J. Beerling
1) C4 photosynthesis evolved when grasses migrated out of contracting forests under a declining atmospheric CO2 concentration ([CO2]a) and drying climate around 30 million years ago. C4 grasses are hypothesised to benefit from improved plant–water relations in open habitats like savannas, giving advantages over C3 plants under low [CO2]a. But experimental evidence in a low CO2 environment is limited and comparisons with C3 trees are needed to understand savanna vegetation patterns. 2) To test whether...

Data from: Leaf economics spectrum in rice: Leaf anatomical, biochemical and physiological trait trade-offs

Dongliang Xiong & Jaume Flexas
The leaf economics spectrum (LES) is an eco-physiological concept describing the trade-offs of leaf structural, and physiological traits, that has been widely investigated across multiple scales. However, the effects of the breeding process on the LES in crops, as well as the mechanisms of the trait trade-offs underlying the LES, have not been thoroughly elucidated to date. In this study, a dataset, including leaf anatomical, biochemical and functional traits, was constructed to evaluate the trait...

Data from: Global patterns of the double mutualism phenomenon

Francisco Fuster, Christopher Kaiser-Bunbury, Jens M. Olesen & Anna Traveset
A double mutualism (DM) occurs when two interacting species benefit each other in two different functions, e.g. when an animal species acts both as pollinator and seed disperser of the same plant. Besides the double benefit, a DM also imposes a larger risk to both functions if the performance of one partner declines. We conducted the first global review of DMs involving pollinators and seed dispersers, aiming to: (1) assess their prevalence across ecosystems and...

Data from: Effects of neonicotinoid insecticide exposure and monofloral diet on nest-founding bumblebee queens

Mar Leza, Kristal M. Watrous, Jade Bratu & S. Hollis Woodard
Bumblebees are among the world’s most important groups of pollinating insects in natural and agricultural ecosystems. Each spring, queen bumblebees emerge from overwintering and initiate new nests, which ultimately give rise to workers and new reproductives later in the season. Nest initiation and survival are thus key drivers of both bumblebee pollination services and population dynamics. We performed the first laboratory experiment with the model bumblebee species Bombus impatiens that explores how early nesting success...

Data from: Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis

Neus Martinez-Abadias, Roger Mateu Estivill, Jaume Sastre Tomas, Susan Motch Perrine, Melissa Yoon, Alex Robert-Moreno, Jim Swoger, Lucia Russo, Kazuhiko Kawasaki, Joan Richtsmeier, James Sharpe & Alexandre Robert-Moreno
The earliest developmental origins of dysmorphologies are poorly understood in many congenital diseases. They often remain elusive because the first signs of genetic misregulation may initiate as subtle changes in gene expression, which are hard to detect and can be obscured later in development by secondary effects. Here, we develop a method to trace the origins of phenotypic abnormalities by accurately quantifying the 3D spatial distribution of gene expression domains in developing organs. By applying...

Registration Year

  • 2018

Resource Types

  • Dataset


  • University of the Balearic Islands
  • University of Barcelona
  • Oregon State University
  • Australian National University
  • Aarhus University
  • University of Las Palmas de Gran Canaria
  • Huazhong Agricultural University
  • University of Sydney
  • Barcelona Institute for Science and Technology
  • University of California, Riverside