@article{b9fe8c61f7c748609d7afc43ddaad709,
title = "An integrated view of complex landscapes: A big data-model integration approach to transdisciplinary science",
abstract = "The Earth is a complex system comprising many interacting spatial and temporal scales. We developed a transdisciplinary data-model integration (TDMI) approach to understand, predict, and manage for these complex dynamics that focuses on spatiotemporal modeling and cross-scale interactions. Our approach employs human-centered machine-learning strategies supported by a data science integration system (DSIS). Applied to ecological problems, our approach integrates knowledge and data on (a) biological processes, (b) spatial heterogeneity in the land surface template, and (c) variability in environmental drivers using data and knowledge drawn from multiple lines of evidence (i.e., observations, experimental manipulations, analytical and numerical models, products from imagery, conceptual model reasoning, and theory). We apply this transdisciplinary approach to a suite of increasingly complex ecologically relevant problems and then discuss how information management systems will need to evolve into DSIS to allow other transdisciplinary questions to be addressed in the future.",
keywords = "Cross-scale interactions, Data science, Earth science, Landscape ecology, Machine learning",
author = "Peters, {Debra P.C.} and Burruss, {N. Dylan} and Rodriguez, {Luis L.} and McVey, {D. Scott} and Elias, {Emile H.} and Pelzel-Mccluskey, {Angela M.} and Derner, {Justin D.} and Schrader, {T. Scott} and Jin Yao and Pauszek, {Steven J.} and Jason Lombard and Archer, {Steven R.} and Bestelmeyer, {Brandon T.} and Browning, {Dawn M.} and Brungard, {Colby W.} and Hatfield, {Jerry L.} and Hanan, {Niall P.} and Herrick, {Jeffrey E.} and Okin, {Gregory S.} and Osvaldo Sala and Heather Savoy and Enrique Vivoni",
note = "Funding Information: This work was supported by the US Department of Agriculture–Agricultural Research Service Current Research Information System Projects at the Jornada Experimental Range (no. 6235-11210-007), the Plum Island Animal Disease Center (no. 8064-32000-058-00D), the Center for Grain and Animal Health Research (no. 8064-32000-058-00D, #3020-32000-008-00D), the Rangeland Resources and Systems Research Unit (no. 3012-21610-001-00D), and the National Laboratory for Agriculture and the Environment (no. 5030-11610-003-00D). Funding was provided by the National Science Foundation to New Mexico State University for the Jornada Basin Long Term Ecological Research Program (nos. DEB 12-35828 and DEB 14-40166). We thank Mr. Darren James and Dr. Geovany Ramirez of NMSU for additional analyses in support of this study. We thank Dr. Matthew Pinch and Elizabeth Vera for manuscript production support. We thank the US Department of Agriculture Office of the Chief Scientist for support of DPCP. The VSV Project is a USDA ARS Grand Challenge Project. Publisher Copyright: {\textcopyright} Published by Oxford University Press on behalf of American Institute of Biological Sciences 2018.",
year = "2018",
month = sep,
day = "1",
doi = "10.1093/biosci/biy069",
language = "English (US)",
volume = "68",
pages = "653--669",
journal = "BioScience",
issn = "0006-3568",
publisher = "American Institute of Biological Sciences",
number = "9",
}