@article {JRN54926,
	title = {An integrated View of Complex Landscapes: A Big Data-Model Integration Approach to Transdisciplinary Science},
	journal = {Bioscience},
	volume = {68},
	year = {2018},
	month = {09/2018},
	pages = {653-669},
	chapter = {653},
	abstract = {<p class="rtejustify">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.</p>
},
	keywords = {cross-scale interactions, data science, earth science, landscape ecology, machine learning},
	doi = {doi:10.1093/biosci/biy069},
	url = {files/bibliography/18-015.pdf},
	author = {Debra C. Peters and N. Dylan Burruss and Luis L Rodriguez and David McVey and Emile H. Elias and Angela Pelzel-McCluskey and J. D. Derner and Scott T. Schrader and Jin Yao and Steven J. Pauszek and Lombard, Jason and Steven R. Archer and Dawn M. Browning and Colby Brungard and J. Hatfield and Niall Hanan and Jeffrey E. Herrick and Gregory S. Okin and O. E. Sala and Heather Savoy and Enrique Vivoni and Brandon T Bestelmeyer}
}
