The LTER Network Office at UCSB is fielding a new call for synthesis proposals with a deadline of October 23, 2019, so we are taking liberties with the format of this newsletter to bring readers a few thoughts on the variety of research that constitutes synthesis, the reasons we find it valuable, and a sampling… Read more »
Plans We set out to answer the general question: How do metacommunity dynamics mediate community responses to disturbance across the ecosystems represented in the LTER network? Metacommunity theory provides a framework to predict when different types of community assembly processes should control the composition of the species pool both at local and regional scales. Thus,… Read more »
Background and plans Many global change drivers (GCDs) lead to chronic alterations in resource availability. As communities change through time in response to these GCDs, the magnitude and direction of ecosystem responses are also predicted to change in a non-linear fashion. We proposed to examine whether plant community dynamics are predictive of shifts in ecosystem… Read more »
LTER Network News is a forum for sharing news and activities from across the LTER Network. This is our water cooler. Please share personnel changes, new grants, cross-Network activities that might interest your LTER colleagues.
The Gulf of Mexico dead zone is predicted to be a near record size in 2019. By the end of summer, the hypoxic region at the mouth of the Mississippi River is expected to occupy over 22,000 square kilometers—an area the size of Massachusetts. The culprit? Nitrogen-based fertilizers applied to crops across the Midwest that… Read more »
Inspired by several citizen science projects, a team from Bonanza Creek LTER studied how changes to season lengths in Interior Alaska affected native and non-native species.
LTER presents two plenary talks, plus results from synthesis working groups.
Individual talks and posters are listed and cover topics as diverse as the ecology of segregation, connectivity in barrier island communities, and modeling complex landscapes using machine learning.
Researchers at Mo’orea LTER did not observe evidence that corals acclimatize to ocean acidification, but they did observe that some are more sensitive to it than others.