ICER and Conservation at ADBC Summit VII: Difference between revisions

** '''Collections data as an historical experiment'''

:: [http://idigbio.adobeconnect.com/pd8jpb2vqcau/ Recording] (time mark 19:54-35.22)

* Anna K. Monfils, Central Michigan University; Rachel A. Hackett, Central Michigan University; Michael Belitz, Central Michigan University; Ed Gilbert, SEINet, Arizona State University; Gil Nelson, iDigBio, Florida State University; Mike J. Monfils, Michigan Natural Features Inventory, Michigan State University Extension; Lillian Hendrick, Central Michigan University; Akito Y. Kawahara, LepNet, University of Florida; Neil S. Cobb, LepNet, Northern Arizona University; Christopher J. Marshall, LepNet, Oregon State University; Jennifer M. Zaspel, LepNet, Milwaukee Public Museum

** '''Research and management applications of online collection data: a case study of prairie fen biodiversity'''

::'''Abstract''': Prairie fen wetlands are globally vulnerable wetlands, provide habitat for over 35 state and federally listed species, and function at the headwaters for several major watersheds in the Great Lakes. Since 2012, the Prairie Fen Biodiversity Project (PFBP) has collected biodiversity data and associated metadata in prairie fen communities to inform researchers, conservation biologists and managers about potential drivers of biodiversity in these diverse systems. One priority for PFBP has been to manage our biodiversity data digitally in support of research and management pipelines. We will show how we have integrated our research, data usage, and digitization workflows and how we assessed this as the project grows and incorporates insect biodiversity data. Annotated species checklists are now available through the Central Michigan University Collection on the Consortium of Midwest Herbaria portal (http://midwestherbaria.org). The PFBP data and checklists have multiple potential uses and we anticipate that our PFBP can use the portal to add, update, or pool data in new ways as the collaboration grows and new tools become available. Online digitized data gives us unprecedented access to biodiversity data and facilitates data accessibility, current data updates, and a broader use of the specimen and research data both within our research team and with associated conservation and management partners.

* Barry Sinervo (USCS EEB)

::'''Abstract''': Standard species distribution models (SDM) use climate layers to determine a species "climate" niche and then project the species distribution to future time points as climate warms or dries, but such models do not take into account evolved physiological or ecological differences among species that might impact resistance to warm spells and / or long-term droughts. Here I will describe the relationships between climate layers and operative thermal and hydric environments for reptiles and amphibians. I use museum occurrence records linked to published ecological data to derive a general class of models that can be used in SDM which allow for evolved changes in phenology and physiology to be incorporated in the modeling. In addition, I will describe how other ecological interactions such as competition for thermal niches can be used to model the impact of climate driven extinctions of cool-adapted taxa (e.g., montane taxa) arising from the invasion of a warm-adapted competitor (e.g., lowland taxa) that might expand its range under climate warming. I apply the models to nearly all species of reptiles and diverse amphibians of North America.

:: [http://idigbio.adobeconnect.com/pys67j468xhl/ Recording] (time mark 19:23-35:43)

* Elizabeth Martin (Doctoral student, University of Florida, School of Natural Resources and Environment (SNRE))

::'''Abstract''': Understanding how academic and non-academic professionals conducting scientific research or working on natural resource activities use species occurrence data and Web-based information systems that provide such data is a prerequisite for assessing the effectiveness of Web-based biodiversity information systems in general. As part of my doctoral research project, I conducted an online survey of academic and non-academic professionals in the United States during spring/summer 2017 to gather baseline data and information on how scientists and natural resource professionals reuse species occurrence data and use Web-based species occurrence information systems in their work. Preliminary results from this survey will be presented at the workshop.

:: [http://idigbio.adobeconnect.com/pys67j468xhl/ Recording] (time mark 36:15-50:15)

=== Symposium Recordings ===