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5 - Advances in Technology Supporting the Systems Ecology Paradigm

Published online by Cambridge University Press:  25 February 2021

Robert G. Woodmansee
Affiliation:
Colorado State University
John C. Moore
Affiliation:
Colorado State University
Dennis S. Ojima
Affiliation:
Colorado State University
Laurie Richards
Affiliation:
Colorado State University
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Summary

The systems ecology paradigm could not have developed without advances in computer science, chemical analysis, microscopy, remote sensing and telemetry, geographic information systems, and information management systems. In the late 1960s, mainframe computers occupying entire rooms and buildings cranked out calculations at speeds that pale in comparison to today’s smart phones, laptop, and desktop computers. Chemical analyses were accomplished primarily using wet chemistry. The ability to “see” inside soil particles has evolved from the desktop microscope to computer imaging. With modern spectroscopy and imaging both precision and accuracy have advanced exponentially. Remote sensing was conducted using photography from airplanes, towers, and ladders. Now we have high-resolution imaging, and spectral imaging, from satellites, manned aircraft, and drones. Geographic information systems have developed from paper maps to powerful technologies manipulating and displaying massive amounts data on handheld devises, laptops, and desktop computers. Information management has moved from data storage on paper files to digital and searchable storage available from almost anywhere on earth. Now, all of these technologies are interconnected through digital networks used by systems ecologists. Systems ecologists have both adopted and developed new technology and these advances have gone hand-in-hand with conceptual change.

Type
Chapter
Information
Natural Resource Management Reimagined
Using the Systems Ecology Paradigm
, pp. 131 - 139
Publisher: Cambridge University Press
Print publication year: 2021

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References

Blad, B. L., and Schimel, D. S. (1992). An overview of surface radiance and biology studies in FIFE. Journal of Geophysical Research: Atmospheres, 97(D17), 18829–35.Google Scholar
Braswell, B. H., Sacks, W. J., Linder, E., and Schimel, D. S. (2005). Estimating diurnal to annual ecosystem parameters by synthesis of a carbon flux model with eddy covariance net ecosystem exchange observations. Global Change Biology, 11(2), 335–55.Google Scholar
Coppock, D. L., and Detling, J. K. (1986). Alteration of bison and black-tailed prairie dog grazing interaction by prescribed burning. The Journal of Wildlife Management, 50(3), 452–5.Google Scholar
Detling, J. K., Parton, W. J., and Hunt, H. W. (1978). An empirical model for estimating CO2 exchange of Bouteloua gracilis (H.B.K.) Lag. in the shortgrass prairie. Oecologia, 33(2), 137–47.Google Scholar
Ellis, J. E., and Swift, D. M. (1988). Stability of African pastoral ecosystems: Alternate paradigms and implications for development. Rangeland Ecology & Management/Journal of Range Management Archives, 41(6), 450–9.Google Scholar
Hanan, N. P., Berry, J. A., Verma, S. B., et al. (2005). Testing a model of CO2, water and energy exchange in Great Plains tallgrass prairie and wheat ecosystems. Agricultural and Forest Meteorology, 131(3–4), 162–79.Google Scholar
Hanan, N. P., Prince, S. D., and Bégué, A. (1995). Estimation of absorbed photosynthetically active radiation and vegetation net production efficiency using satellite data. Agricultural and Forest Meteorology, 76(3–4), 259–76.Google Scholar
Hobbs, N. T., Baker, D. L., Ellis, J. E., Swift, D. M., and Green, R. A. (1982). Energy-and nitrogen-based estimates of elk winter-range carrying capacity. The Journal of Wildlife Management, 46(1),1221.Google Scholar
Lefsky, M. A., Cohen, W. B., Parker, G. G., and Harding, D. J. (2002). Lidar remote sensing for ecosystem studies: Lidar, an emerging remote sensing technology that directly measures the three-dimensional distribution of plant canopies, can accurately estimate vegetation structural attributes and should be of particular interest to forest, landscape, and global ecologists. BioScience, 52(1), 1930.Google Scholar
Li, Z., Liu, S., Tan, Z., et al. (2014). Comparing cropland net primary production estimates from inventory, a satellite-based model, and a process-based model in the Midwest of the United States. Ecological Modelling, 277, 12.Google Scholar
Lu, L., Pielke, R. A. Sr., Liston, G. E., Parton, W. J., Ojima, D., and Hartman, M. (2001). Implementation of a two-way interactive atmospheric and ecological model and its application to the central United States. Journal of Climate, 14(5), 900–19.Google Scholar
Mosier, A. R., Parton, W. J., and Schimel, D. S. (1988). Nitrous oxide production by nitrification and denitrification in a shortgrass steppe. Biogeochemistry, 6, 4558.Google Scholar
Mosier, A., Valentine, D., Schimel, D., Parton, W., and Ojima, D. (1993). Methane consumption in the Colorado short grass steppe. Mitteilungen der Deutschen Bodenkundlichen Gesellschaft, 69, 219–26.Google Scholar
Ogle, S. M., Davis, K., Lauvaux, T., et al. (2015). An approach for verifying biogenic greenhouse gas emissions inventories with atmospheric CO2 concentration data. Environmental Research Letters, 10(3), 034012.CrossRefGoogle Scholar
Ojima, D., and Chuluun, T. (2008). Policy changes in Mongolia: Implications for land use and landscapes. In Fragmentation in Semi-arid and Arid Landscapes, ed. Galvin, K. A., Reid, R. S., Behnke, R. H. Jr., and Hobbs, N. T.. Dordrecht: Springer, 179–93.Google Scholar
Reid, R. S., Galvin, K. A., and Kruska, R. S. (2008). Global significance of extensive grazing lands and pastoral societies: An introduction. In Fragmentation in Semi-arid and Arid Landscapes, ed. Galvin, K. A., Reid, R. S., Behnke, R. H. Jr., and Hobbs, N. T.. Dordrecht: Springer, 124.Google Scholar
Rosswall, T., Woodmansee, R. G., and Risser, P. G., eds. (1988). Scales and Global Change: Spatial and Temporal Variability in Biospheric and Geospheric Processes. Scientific Committee on Problems of the Environment (SCOPE) of the International Council of Scientific Unions (ICSU). New York: John Wiley.Google Scholar
Running, S. W., Nemani, R. R., Heinsch, F. A., Zhao, M., Reeves, M., and Hashimoto, H. (2004). A continuous satellite-derived measure of global terrestrial primary production. Bioscience, 54(6), 547–60.Google Scholar
Saatchi, S., Mascaro, J., Xu, L., et al. (2015). Seeing the forest beyond the trees. Global Ecology and Biogeography, 24(5), 606–10.CrossRefGoogle Scholar
Schimel, D. S., Parton, W. J., Adamsen, F. J., Woodmansee, R. G., Senft, R. L., and Stillwell, M. A. (1986). The role of cattle in the volatile loss of nitrogen from a shortgrass steppe. Biogeochemistry, 2(1), 3952.Google Scholar
Schimel, D. S., Simkins, S., Rosswall, T., Mosier, A. R., and Parton, W. J. (1988). Scale and the measurement of nitrogen-gas fluxes from Terrestrial Ecosystems. In Scales and Global Change, ed. Rosswall, T., Woodmansee, R. G., and Risser, P. G.. SCOPE 35. New York: John Wiley and Sons, 179–93.Google Scholar
Woodmansee, R. G. (1978). Additions and losses of nitrogen in grassland ecosystems. Bioscience, 28(7), 448–53.Google Scholar
Yonker, C. M., Schimel, D. S., Paroussis, E., and Heil, R. D. (1988). Patterns of organic carbon accumulation in a semiarid shortgrass steppe, Colorado. Soil Science Society of America Journal, 52(2), 478–83.Google Scholar

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