Background: The potential for abrupt transitions in ecosystem processes may increase as climate change continues to accelerate1,2. While this trend is of great concern, our understanding of how to identify when and why abrupt transitions occur has been informed almost exclusively by theory. In order to enhance the prediction and management of these changes for different ecosystems, Bestelmeyer et al.3 developed a systematic approach for identifying the occurrence of transitions, the leading indicators, and the underlying mechanisms. Their analyses revealed that the choice of the leading indicator (the biological response used to detect the transitions, e.g. the abundance of a particular species) generates many limitations. For example, using species abundance may restrict our ability to detect non-linear ecosystem transitions.
Top Stories
LTER at AGU, 2024
New DataNugget: Do urchins flip out in hot water?
From Species Richness to Ecosystem Resilience: a Synthesis Study of Marine Consumer Nutrient Supply
Love writing about science? Now accepting applications for our 2024 LTER Graduate Writing Fellows program!
A changing Arctic drives a new generation of research
Measuring Methane in 4D: Tree Fluxes at Harvard Forest
Shaped by fire: the Bonanza Creek LTER
Renewed funding for the LNO prioritizes synthesis, broadening participation, and mentorship
It begins with quality data: non-LTER student uses SBC LTER data to learn R, presents work at ESA
Science at the Top of the World, or, 48 Hours at Beaufort Lagoon Ecosystems LTER