As the Earth entering into the Anthropocene, global sustainable development requires ecological research to evolve into the large-scale, quantitative, and predictive era. It necessitates a revolution of ecological observation technology and a long-term accumulation of scientific data. The ecosystem flux tower observation technology is the right one to meet this requirement. However, the unique advantages and potential values of global-scale flux tower observation are still not fully appreciated. Reviewing the development history of global meteorological observation and its scientific contributions to the society, we can get an important enlightenment to re-cognize the scientific mission of flux observation.
YU Guirui, CHEN Zhi, ZHANG Leiming, PENG Changhui, CHEN Jingming, PIAO Shilong, ZHANG Yangjian, NIU Shuli, WANG Qiufeng, LUO Yiqi, CIAIS Philippe, BALDOCCHI D. Dennis
. Recognizing the Scientific Mission of Flux Tower Observation Networks—Lay the Solid Scientific Data Foundation for Solving Ecological Issues Related to Global Change[J]. Journal of Resources and Ecology, 2017
, 8(2)
: 115
-120
.
DOI: 10.5814/j.issn.1674-764x.2017.02.001
[1] Baldocchi D D. 2008. Breathing of the terrestrial biosphere: lessons learned from a global network of carbon dioxide flux measurement systems. Australian Journal of Botany , 56(1): 1-26.
[2] Baldocchi D D. 2014. Measuring fluxes of trace gases and energy between ecosystems and the atmosphere-the state and future of the eddy covariance method. Global Change Biology , 20(12): 3600-3609.
[3] Barnosky A D, E A Hadly, J Bascompte, et al . 2012. Approaching a state shift in Earth's biosphere. Nature , 486(7401): 52-58.
[4] Boyle J. 2013. Biology must develop its own big-data systems. Nature , 499(7456): 7.
[5] Chave J. 2013. The problem of pattern and scale in ecology: what have we learned in 20 years? Ecology Letters , 16: 4-16.
[6] Crutzen P J, W Steffen. 2003. How long have we been in the Anthropocene era? Climatic Change , 61(3): 251-257.
[7] FAOSTAT. 2014. Food and Agriculture Organization of the United Nations (FAO).
[8] IPCC (Intergovernmental Panel on Climate Change). 2014. Climate Change 2014: Synthesis Report (eds. Pachauri RK. et al. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp) 1-133.
[9] Key World Energy Statistics. 2014. International Energy Agency (IEA).
[10] Mace G. 2013. Ecology must evolve. Nature , 503(7475): 191-192.
[11] Marx V. 2013. Biology: The big challenges of big data. Nature , 498(7453): 255-260.
[12] Michener W K, M B Jones. 2012. Ecoinformatics: supporting ecology as a data-intensive science. Trends in Ecology & Evolution , 27(2): 85-93.
[13] Millennium Ecosystem Assessment. 2005. Ecosystems and Human Well-being: Synthesis. Island Press, Washington, DC.
[14] Reichman O J, M B Jones, M P Schildhauer. 2011. Challenges and opportunities of open data in ecology. Science , 331(6018): 703-705.
[15] Wofsy S C, M L Goulden, J W Munger, et al . 1993. Net exchange of CO 2 in a mid-latitude forest. Science , 260(5112): 1314-1317.
[16] World Population Prospects. 2013. World Population Prospects: The 2012 Revision. UN.