Geology topics

L. Brandt

Publications and source records attributed to L. Brandt.

4 recordsLinked to original sources

USGS2019

US Costal Research Program: Building a research community to support coastal stakeholders

The U.S. Coastal Research Program (USCRP) was created to develop, coordinate, and enable a National science plan to address growing needs of coastal communities. Researchers from federal agencies, academia, industry, and non-governmental organizations work together to identify priorities that support coastal stakeholders in activities such as emergency response, resource management, planning, and engineering. By fostering existing partnerships and multi-agency collaborations, the USCRP increases the value and impact of these coastal research applications. Through user-driven topical workshops, the USCRP initiates conversation between users and researchers to help ensure that research addresses societal needs along the coastline. By leveraging and expanding federal funding, opportunities are created for coastal science and engineering university programs to advance their research directions, provide graduate student opportunities, and connect their work to National coastal priorities.

Conference Paper↗

USGS2013

Validating predictions from climate envelope models

Climate envelope models are a potentially important conservation tool, but their ability to accurately forecast species’ distributional shifts using independent survey data has not been fully evaluated. We created climate envelope models for 12 species of North American breeding birds previously shown to have experienced poleward range shifts. For each species, we evaluated three different approaches to climate envelope modeling that differed in the way they treated climate-induced range expansion and contraction, using random forests and maximum entropy modeling algorithms. All models were calibrated using occurrence data from 1967–1971 (t1) and evaluated using occurrence data from 1998–2002 (t2). Model sensitivity (the ability to correctly classify species presences) was greater using the maximum entropy algorithm than the random forest algorithm. Although sensitivity did not differ significantly among approaches, for many species, sensitivity was maximized using a hybrid approach that assumed range expansion, but not contraction, in t2. Species for which the hybrid approach resulted in the greatest improvement in sensitivity have been reported from more land cover types than species for which there was little difference in sensitivity between hybrid and dynamic approaches, suggesting that habitat generalists may be buffered somewhat against climate-induced range contractions. Specificity (the ability to correctly classify species absences) was maximized using the random forest algorithm and was lowest using the hybrid approach. Overall, our results suggest cautious optimism for the use of climate envelope models to forecast range shifts, but also underscore the importance of considering non-climate drivers of species range limits. The use of alternative climate envelope models that make different assumptions about range expansion and contraction is a new and potentially useful way to help inform our understanding of climate change effects on species.

PLoS ONE↗

USGS2006

Eco-informatics and natural resource management

This project highlight reports on the 2004 workshop [1], as well as follow-up activities in 2005 and 2006, regarding how informatics tools can help manage natural resources and decide policy. The workshop was sponsored jointly by sponsored by the NSF, NBII, NASA, and EPA, and attended by practitioners from government and non-government agencies, and university researchers from the computer, social, and ecological sciences. The workshop presented the significant information technology (IT) problems that resource managers face when integrating ecological or environmental information to make decisions. These IT problems fall into five categories: data presentation, data gaps, tools, indicators, and policy making and implementation. To alleviate such problems, we recommend informatics research in four IT areas, as defined in this abstract and our final report: modeling and simulation, data quality, information integration and ontologies, and social and human aspects. Additionally, we recommend that funding agencies provide infrastructure and some changes in funding habits to assure cycles of innovation in the domain were addressed. Follow-on activities to the workshop subsequent to dg.o 2005 included: an invited talk presenting workshop results at DILS 2005, publication of the workshop final report by the NBII [1], and a poster at the NBII All Hands Meeting (Oct. 2005). We also expect a special issue of the JIIS to appear in 2006 that addresses some of these questions. As we go to press, no solicitation by funding agencies has as yet been published, but various NASA and NBII, and NSF cyber-infrastructure and DG research efforts now underway address the above issues.

Conference Paper↗

USGS2005

Eco-informatics for decision makers advancing a research agenda

Resource managers often face significant information technology (IT) problems when integrating ecological or environmental information to make decisions. At a workshop sponsored by the NSF and USGS in December 2004, university researchers, natural resource managers, and information managers met to articulate IT problems facing ecology and environmental decision makers. Decision making IT problems were identified in five areas: 1) policy, 2) data presentation, 3) data gaps, 4) tools, and 5) indicators. To alleviate those problems, workshop participants recommended specific informatics research in modeling and simulation, data quality, information integration and ontologies, and social and human aspects. This paper reports the workshop findings, and briefly compares these with research that traditionally falls under the emerging eco-informatics rubric. ?? Springer-Verlag Berlin Heidelberg 2005.

Conference Paper↗