community ecology – Functional Ecology: Plain Language Summaries

Category: community ecology

80 Posts

community ecology

Grasshopper diets shift with grassland management and climate

January 4, 2019 — 0 Comments

community ecology

Dynamic foraging and the shifting roles of predators across ecosystems

January 3, 2019 — 0 Comments

Great white shark at Isla Guadalupe, Mexico, August 2006. Shot with Nikon D70s in Ikelite housing, in natural light. Animal estimated at 11-12 feet (3.3 to 3.6 m) in length, age unknown (source Wikipedia Commons)

community ecology

First principles of mechanics can predict predator-prey relationship

December 6, 2018 — 0 Comments

community ecology

Handbook for the measurement of macrofungal functional traits: a start with basidiomycete wood fungi

November 14, 2018 — 0 Comments

Butterfly

community ecology

Seeing the forest for the trees: putting multilayer networks to work for community ecology

November 14, 2018 — 0 Comments

Traits predict tree species forest distributions and growth and survival rates across Hawaiian montane wet forest (MWF) and lowland dry forest (LDF). The top and bottom rows compare the MWF and LDF respectively, with forest images in left-hand column, and micrographs of impressions of the abaxial leaf surfaces and of cleared and stained leaves in the middle and right columns respectively (sides of squares = 0.31 mm and 1.25 mm respectively) for representative species Coprosma rhynchocarpa of the MWF and Psydrax odorata of the LDF. On average across species, stomatal density is higher for species of the MWF, and minor vein density is higher for species of the LDF, and these traits predict vital rates across all species. Photo credit: left, top and bottom: CTFS; center and right, top and bottom: Jessica Smith

community ecology

The more traits the merrier: using an extensive suite of functional traits to characterize forests and predict tree growth and mortality

October 19, 2018 — 0 Comments

community ecology, ecosystems ecology

Potentials and pitfalls in the analysis of bipartite networks to understand plant–microbe interactions in changing environments

October 2, 2018 — 0 Comments