Open Access. Powered by Scholars. Published by Universities.®

Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Biology

Biology Faculty Research and Scholarship

2021

LTER

Articles 1 - 2 of 2

Full-Text Articles in Life Sciences

Novel Insights To Be Gained From Applying Metacommunity Theory To Long-Term, Spatially Replicated Biodiversity Data, Sydne Record, Nicole M. Voelker, Phoebe L. Zarnetske, Nathan I. Wisnoski, Jonathan D. Tonkin, Christopher Swan, Luca Marazzi, Nina Lany, Thomas Lamy, Ado Compagnoni, Max C. N. Castorani, Riley Andrade, Eric R. Sokol Jan 2021

Novel Insights To Be Gained From Applying Metacommunity Theory To Long-Term, Spatially Replicated Biodiversity Data, Sydne Record, Nicole M. Voelker, Phoebe L. Zarnetske, Nathan I. Wisnoski, Jonathan D. Tonkin, Christopher Swan, Luca Marazzi, Nina Lany, Thomas Lamy, Ado Compagnoni, Max C. N. Castorani, Riley Andrade, Eric R. Sokol

Biology Faculty Research and Scholarship

Global loss of biodiversity and its associated ecosystem services is occurring at an alarming rate and is predicted to accelerate in the future. Metacommunity theory provides a framework to investigate multi-scale processes that drive change in biodiversity across space and time. Short-term ecological studies across space have progressed our understanding of biodiversity through a metacommunity lens, however, such snapshots in time have been limited in their ability to explain which processes, at which scales, generate observed spatial patterns. Temporal dynamics of metacommunities have been understudied, and large gaps in theory and empirical data have hindered progress in our understanding of …


Ecocomdp: A Flexible Data Design Pattern For Ecological Community Survey Data, Margaret O'Brien, Colin A. Smith, Eric R. Sokol, Corinna Gries, Nina Lany, Sydne Record, Max C. N. Castorani Jan 2021

Ecocomdp: A Flexible Data Design Pattern For Ecological Community Survey Data, Margaret O'Brien, Colin A. Smith, Eric R. Sokol, Corinna Gries, Nina Lany, Sydne Record, Max C. N. Castorani

Biology Faculty Research and Scholarship

The idea of harmonizing data is not new. Decades of amassing data in databases according to community standards - both locally and globally - have been more successful for some research domains than others. It is particularly difficult to harmonize data across studies where sampling protocols vary greatly and complex environmental conditions need to be understood to apply analytical methods correctly. However, a body of longterm ecological community observations is increasingly becoming publicly available and has been used in important studies. Here, we discuss an approach to preparing harmonized community survey data by an environmental data repository, in collaboration with …