학술논문
Understanding Organisms Using Ecological Observatory Networks.
Document Type
Academic Journal
Author
Dantzer B; Department of Psychology, University of Michigan, Ann Arbor, MI 48109,USA.; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109,USA.; Mabry KE; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109,USA.; Department of Biology, New Mexico State University, Las Cruces, NM 88003,USA.; Bernhardt JR; Department of Biology, New Mexico State University, Las Cruces, NM 88003,USA.; Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada.; Cox RM; Department of Biology, University of Virginia, Charlottesville, VA 22940,USA.; Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93407,USA.; Francis CD; Department of Biological Sciences, California Polytechnic State University, San Luis Obispo, CA 93407,USA.; Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway.; Ghalambor CK; Department of Biology, Centre for Biodiversity Dynamics (CBD), Norwegian University of Science and Technology (NTNU), N-7491 Trondheim, Norway.; Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.; Hoke KL; Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.; Jha S; Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712,USA.; Ketterson E; Department of Biology, Indiana University, 1001 E. Third Street, Bloomington, IN 47405,USA.; Levis NA; Department of Biology, Indiana University, 1001 E. Third Street, Bloomington, IN 47405,USA.; McCain KM; Global Health and Infectious Disease Research Center, College of Public Health, University of South Florida, Tampa, FL 33612,USA.; Patricelli GL; Department of Evolution and Ecology, University of California, Davis, CA 95616,USA.; Paull SH; Battelle, National Ecological Observatory Network, 1685 38th Street, Boulder, CO 80301, USA.; Pinter-Wollman N; Department of Ecology and Evolutionary Biology, University of California Los Angeles, 621 Charles E. Young Drive South, Los Angeles, CA 90095, USA.; Safran RJ; Department of Ecology and Evolutionary Biology, University of Colorado, Boulder 80309,USA.; Schwartz TS; Department of Biological Sciences, Auburn University, Auburn, AL 36849, USA.; Throop HL; School of Earth and Space Exploration and School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA.; Zaman L; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109,USA.; Center for the Study of Complex Systems, University of Michigan, Ann Arbor, MI 48109, USA.; Martin LB; Global Health and Infectious Disease Research Center and Center for Genomics, College of Public Health, University of South Florida, Tampa, FL 33612,USA.
Source
Publisher: Oxford University Press Country of Publication: England NLM ID: 101767733 Publication Model: eCollection Cited Medium: Internet ISSN: 2517-4843 (Electronic) Linking ISSN: 25174843 NLM ISO Abbreviation: Integr Org Biol Subsets: PubMed not MEDLINE
Subject
Language
English
Abstract
Human activities are rapidly changing ecosystems around the world. These changes have widespread implications for the preservation of biodiversity, agricultural productivity, prevalence of zoonotic diseases, and sociopolitical conflict. To understand and improve the predictive capacity for these and other biological phenomena, some scientists are now relying on observatory networks, which are often composed of systems of sensors, teams of field researchers, and databases of abiotic and biotic measurements across multiple temporal and spatial scales. One well-known example is NEON, the US-based National Ecological Observatory Network. Although NEON and similar networks have informed studies of population, community, and ecosystem ecology for years, they have been minimally used by organismal biologists. NEON provides organismal biologists, in particular those interested in NEON's focal taxa, with an unprecedented opportunity to study phenomena such as range expansions, disease epidemics, invasive species colonization, macrophysiology, and other biological processes that fundamentally involve organismal variation. Here, we use NEON as an exemplar of the promise of observatory networks for understanding the causes and consequences of morphological, behavioral, molecular, and physiological variation among individual organisms.
Competing Interests: All authors declare that they have no conflict of interest, although one coauthor (Dr. S.H. Paull) is employed by Battelle Ecology, which manages NEON.
(© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology.)
Competing Interests: All authors declare that they have no conflict of interest, although one coauthor (Dr. S.H. Paull) is employed by Battelle Ecology, which manages NEON.
(© The Author(s) 2023. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology.)