1 |
Forster, P., V. Ramaswamy, P. Artaxo, T. Bernsten, R. Betts, D. W. Fahey, J. Haywood, J. Lean, D. C. Lowe, G. Myhre, J. Nganga, R. Prinn, G. Raga, M. Schulz, and R. Van Dorland, 2007: Changes in atmospheric constituents and in radiative forcing. In: Climate Change. 2007. The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (eds. Solomon S, D Qin, M Manning et al.), 130-234. Cambridge University Press, Cambridge, UK.
|
2 |
Santamaria-Bonfil,.G.,.N..Fernandez, and C. Gershenson, 2016: Measuring the complexity of continuous distributions Entropy 18(3), 72.
DOI
|
3 |
Zaccarelli, N., B. L. Li, I. Petrosillo, and G. Zurlini, 2013: Order and disorder in ecological time-series: introducing normalized spectral entropy. Ecological Indicators 28, 22-30.
DOI
|
4 |
Diaz, M. B., D. R. Roberti, J. V. Carneiro, V. d. A. Souza, and O. L. L. de Moraes, 2019: Dynamics of the superficial fluxes over a flooded rice paddy in southern Brazil. Agricultural and Forest Meteorology 276(277), 107650. doi:10.1016/j.agrformet.2019.107650
DOI
|
5 |
Pereira, J., N. Figueiredo, P. Goufo, J. Carneiro, R. Morais, C. Carranca, J. Coutinho, and H. Trindade, 2013: Effects of elevated temperature and atmospheric carbon dioxide concentration on the emissions of methane and nitrous oxide from Portuguese flooded rice fields. Atmospheric Environment 80, 464-471.
DOI
|
6 |
Prokopenko, M., F, Boschetti., and A. J. Ryan, 2009: An information-theoretic primer on complexity, self-organization, and emergence. Complexity 15(1), 11-28.
DOI
|
7 |
Reichstein, M., P. Ciais, D. Papale, R. Valentini, S. Running, N. Viovy, W. Cramer, A. Granier, J. Ogee, V. Allard, and M. Aubinet, 2007: Reduction of ecosystem productivity and respiration during the European summer 2003 climate anomaly: a joint flux tower, remote sensing and modelling analysis. Global Change Biology 13(3), 634-651.
DOI
|
8 |
Ricepedia. Retrieved 08 December 2019, from http://ricepedia.org/rice-as-a-crop
|
9 |
Miyata, A., R. Leuning, O. T. Denmead, J. Kim, and Y. Harazono, 2000: Carbon dioxide and methane fluxes from an intermittently flooded paddy field. Agricultural and Forest Meteorology 102(4), 287-303. doi:Doi 10.1016/S0168-1923(00)00092-7
DOI
|
10 |
Yu, G., X. Song, Q. Wang, Y. Liu, D. Guan, J. Yan, X. Sun, L. Zhang, and X. Wen, 2008: Water-use efficiency of forest ecosystems in eastern China and its relations to climatic variables. New Phytologist 177(4), 927-937.
DOI
|
11 |
Kang, M., J. Kim, H.S. Kim, B. Malla Thakuri, and J.-H. Chun, 2014: On the nighttime correction of CO2 flux measured by eddy covariance over temperate forests in complex terrain. Korean Journal of Agricultural and Forest Meteorology 16(3), 233-245.
DOI
|
12 |
Miyata, A., T. Iwata, H. Nagai, T. Yamada, H. Yoshikoshi, M. Mano, K. Ono, G. Han, Y. Harazono, and E. Ohtaki, 2005: Seasonal variation of carbon dioxide and methane fluxes at single cropping paddy fields in central and western Japan. Phyton 45(4), 89-97.
|
13 |
Kang, M., J. Kim, S. H. Lee, J. Kim, J. H. Chun, and S. Cho, 2018: Changes and improvements of the standardized eddy covariance data processing in KoFlux. Korean Journal of Agricultural and Forest Meteorology 20(1), 5-17.
DOI
|
14 |
Van Gorsel, E., N. Delpierre, R. Leuning, A. Black, J. W. Munger, S. Wofsy, M. Aubinet, C. Feigenwinter, J. Beringer, D. Bonal, and B. Chen, 2009: Estimating nocturnal ecosystem from the vertical turbulent flux and change in storage of of CO2. Agricultural and Forest Meteorology 149 (11), 1919-1930.
DOI
|
15 |
Papale, D., M. Reichstein, M. Aubinet, E. Canfora, C. Bernhofer, W. Kutsch, B. Longdoz, S. Rambal, R. Valentini, T. Vesala, and D. Yakir, 2006: Towards a standardized processing of net ecosystme exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3, 571-583.
DOI
|
16 |
Hwang, Y., Y. Ryu, Y. Huang, J. Kim, H. Iwata, and M. Kang, 2020: Comprehensive assessments of carbon dynamics in an intermittently-irrigated rice paddy. Agricultural and Forest Meteorology 285,107933.
|
17 |
Ikawa, H., K. Ono, M. Mano, K. Kobayashi, T. Takimoto, K. Kuwagata, and A. Miyata, 2017: Evapotranspiration in a rice paddy field over 13 crop years. Journal of Agricultural Meteorology 73(3), 109-118.
DOI
|
18 |
Indrawati, Y. M., J. Kim, and M. Kang, 2018: Assessment of Ecosystem Productivity and Efficiency using Flux Measurement over Haenam Farmland Site in Korea (HFK). Korean Journal of Agricultural and Forest Meteorology 20(1), 57-72. doi:10.5532/KJAFM.2018.20.1.57
DOI
|
19 |
IPCC (Intergovernmental Panel on Climate Change), 2007: Nitrous oxide and carbon dioxide in agriculture; OECD/IPCC/IEA phase II development of IPCC guidelines for natural greenhouse gas inventory methodology, Workshop Report, 4-6 December, 1995, OECD, IPCC, IEA (Geneva), 1997.
|
20 |
Kang, M., J. Kim, B. Malla Thakuri, J. Chun, and C. Cho, 2018: New gap-filling and partitioning technique for H2O eddy fluxes measured over forests. Biogeosciences 15, 631-647.
DOI
|
21 |
Shindell, D., G. Faluvegi, D. M. Koch, G. A. Schmidt, N. Unger, and S. E. Bauer, 2009: Improved attribution of climate forcing to emissions. Science 326(5953), 716-718.
DOI
|
22 |
Smith, P., D. Martino, Z. Cai, D. Gwary, H. Janzen, P. Kumar, B. McCarl, S. Ogle, F. O'mara, C. Rice, B. Scholes, O. Sirotenko, M. Howden, T. McAllister, G. Pan, V. Romanenkov, and U. Schneider, S. Towprayoon, 2007: Policy and technological constraints to implementation of greenhouse gas mitigation options in agriculture Agriculture, Ecosystems & Environment 118(1), 6-28.
DOI
|
23 |
Svirezhev,Y., 2010: Entropy and Entropy Flows the Biosphere. Global Ecology 154.
|
24 |
Van Dijk, A., A. F. Moene, and H. A. R. De Bruin, 2004: The principles of surface flux physics: theory, practice and description of the ECPACK library. Meteorology and Air Quality Group. Wageningen University, Wageningen, The Netherlands, 99.
|
25 |
Wang, Y., L. Zhou, Q. Jia, and W. Yu, 2017: Water use efficiency of a rice paddy field in Liaohe Delta, Northeast China. Agricultural Water Management 187, 222-231.
DOI
|
26 |
Gitelson, A. A., A. Vina, S. B. Verma, D. C. Rundquist, T. J. Arkebauer, G. G. Burba, and A. E. Suyker, 2006: Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. Journal of Geophysical Research: Atmospheres 11(D8).
|
27 |
Fratini, G., A. Ibrom, N. Arriga, G. Burba, and D. Papale, 2012: Relative humidity effects on water vapour fluxes measured with closed-path eddy-covariance systems with short sampling lines. Agricultural and Forest Meteorology 165, 53-63.
DOI
|
28 |
Gershenson, C., and N. Fernandez, 2012: Complexity and information: Measuring emergence, selforganization, and homeostasis at multiple scales. Complexity 18(2), 29-44.
DOI
|
29 |
Gitelson, A. A., and J. A. Gamon, 2015: The need for a common basis for defining light-use efficiency: Implications for productivity estimation. Remote Sensing of Environment 156, 196-201.
DOI
|
30 |
Hong, J. K., H. J. Kwon, J.-H. Lim,Y. H. Byun, J. H. Lee, and J. Kim, 2009: Standardization of KoFlux eddy-covariance data processing. Korean Journal of Agricultural and Forest Meteorology 11(1), 19-26.
DOI
|
31 |
Horst, T. W., and D. H. Lenschow, 2009: Attenuation of scalar fluxes measured with spatially-displaced sensors. Boundary Layer Meteorology 130(2), 275-300.
DOI
|
32 |
Hossen, M. S., M. Mano, A. Miyata, M. A. Baten, and T. Hiyama, 2011: Seasonality of ecosystem respiration in a double-cropping paddy field in Bangladesh. Biogeosciences Discussions 8, 8693-8721.
DOI
|
33 |
Kim, J., M. Kang, T. Oki, E. W. Park, K. Ichii, Y. M. Indrawati, S. Cho, J. Moon, W. C. Yoo, J. Rhee, H. Rhee, K. Njau, and S. Ahn, 2018: Rural Systems Visioneering: Paradigm Shift from Flux Measurement to Sustainability Science. Korean Journal of Agricultural and Forest Meteorology 20(1), 101-116. doi:10.5532/KJAFM.2018.20.1.101
DOI
|
34 |
Webb, E. K., G. Pearman, and R. Leuning, 1980: Correction of flux measurements for density effects due to heat and water vapor transfer. Quarterly Journal of Royal Meteorological Society 106, 85-100.
DOI
|
35 |
Yang, H., Y. M. Indrawati, A. E. Suyker, J. Lee, K.-d. Lee, and J. Kim, 2020: Radiation, Energy, and Entropy Exchange in an Irrigated-Maize Agroecosystem in Nebraska, USA. Korean Journal of Agricultural and Forest Meteorology 22(1), 26-46. doi:10.5532/KJAFM.2020.22.1.26
DOI
|
36 |
Zhang, Y., M. Xu, H. Chen, and J. Adams, 2009: Global pattern of NPP to GPP ratio derived from MODIS data: effects of ecosystem type, geographical location and climate. Global Ecology and Biogeography 18(3), 280-290.
DOI
|
37 |
Fernandez, N., C. Maldonado, and C. Gershenson, 2014: Information measures of complexity, emergence, self-organization, homeostasis, and autopoiesis. In Guided self-organization: Inception, Springer, 19-51.
|
38 |
Zurlini, G., I. Petrosillo, K. B. Jones, and N. Zaccarelli, 2013: Highlighting order and disorder in social-ecological landscapes to foster adaptive capacity and sustainability. Landscape Ecology 28(6), 1161-1173.
DOI
|
39 |
Aubinet, M., B. Chermanne, M. Vandenhaute, B. Longdoz, M. Yernaux, and E. Laitat, 2001: Long term carbon dioxide exchange above a mixed forest in the Belgian Ardennes. Agricultural and Forest Meteorology 108(4), 293-315.
DOI
|
40 |
Mauder, M. and T. Foken, 2011: Documentation and Instruction Manual of the Eddy-covariance Software Package TK3. Univ., Abt. Mikrometeorologie, 46:60.
|
41 |
Kim, Y., M. S. A. Talucder, M. Kang, K.-M. Shim, N. Kang, and J. Kim, 2016: Interannual variations in methane emission from an irrigated rice paddy caused by rainfalls during the aeration period. Agriculture, Ecosystems & Environment 223, 67-75. doi:10.1016/j.agee.2016.02.032
DOI
|
42 |
Knox, S. H., J. H. Matthes, C. Sturtevant, P. Y. Oikawa, J. Verfaillie, and D. Baldocchi, 2016: Biophysical controls on interannual variability in ecosystem-scale CO2 and CH4 exchange in a California rice paddy. Journal of Geophysical Research: Biogeosciences 121, doi:10.1002/2015JG003247.
DOI
|
43 |
LI-COR Inc. 2014: Eddypro-eddy covarience software: Version 5.2.1 user's guide and reference.
|
44 |
Lin, H., M. Cao, P. C. Stoy, and Y. Zhang, 2009: Assessing self-organization of plant communities a thermodynamic approach. Ecological Modelling 220(6), 784-790.
DOI
|
45 |
Lin, H., M. Cao, and Y Zhang, 2011: Self-organization of tropical seasonal rain forest in southwest China. Ecological Modelling 222(15), 2812-2816.
DOI
|
46 |
McMillen, R. T., 1988: An eddy correlation technique with extended applicability to non-simple terrain. Boundary Layer Meteorology 43(3), 231-245.
DOI
|
47 |
Choi, S.-W., J. Kim, M. Kang, S. H. Lee, N. Kang, and K.-M. Shim, 2018: Estimation and Mapping of Methane Emissions from Rice Paddies in Korea: Analysis of Regional Differences and Characteristics. Korean Journal of Agricultural and Forest Meteorology 20(1), 88-100. (in Korean with English abstract).
DOI
|
48 |
Alberto, M. C. R., T. Hirano, A. Miyata, R. Wassmann, A. Kumar, A. Padre, and M. Amante 2012: Influence of climate variability on seasonal and interannual variations of ecosystem CO2 exchange in flooded and non-flooded rice fields in the Philippines. Field Crops Research 134, 80-94.
DOI
|
49 |
Brunsell, N. A., S. J. Schymanski, and A. Kleidon, 2011: Quantifying the thermodynamic budget of the land surface: is this useful? Earth System Dynamics 2(1), 87-103.
DOI
|
50 |
Burba, G., 2013: Eddy Covariance Method for Scientific, Industrial, Agricultural and Regulatory Applications: A Field Book on Measuring Ecosystem Gas Exchange and Areal Emission Rates. Li-Cor Biosciences, Lincoln.
|
51 |
Cochran, F.V., N. A. Brunsell, and A. E. Suyker, 2016: A thermodynamic approach for agroecosystem sustainability. Ecological Indicators 67, 204-214.
DOI
|
52 |
Alberto, M. C. R., R. Wassmann, T. Hirano, A. Miyata, R. Hatano, A. Kumar, A. Padre, and M. Amant, 2011: Comparisons of energy balance and evapotranspiration between flooded and aerobic rice fields in the philippines. Agricultural Water Management 98(9), 1417-1430.
DOI
|
53 |
Alberto, M. C. R., R. Wassmann, T. Hirano, A. Miyata, A. Kumar, A. Padre, and M. Amant, 2009: CO2/heat fluxes in rice fields: Comparative assessment of flooded and non-flooded fields in the philippines. Agricultural and Forest Meteorology 149(10), 1737-1750.
DOI
|
54 |
Van Groenigen, K. J., C. Van Kessel, and B. A. Hungate, 2013: Increased greenhouse-gas intensity of rice production under future atmospheric conditions. Nature Climate Change 3(3), 288-291.
DOI
|
55 |
Mosier, A. R., C. Kroeze, C. Nevison, O. Oenema, S. Seitzinger, and O. Van Cleemput, 1998: Closing the global N2O budget: nitrous oxide emissions through the agricultural nitrogen cycle. OECD/IPCC/IEA phase II development of IPCC guideslines for national greenhouse gas inventory methodology. Nutrient Cycling in Agroecosystems 52, 225-248.
DOI
|
56 |
Odum, E., 1969: The strategy of ecosystem development. Science (New York, NY), 164(3877), 262-270.
DOI
|
57 |
Santamaria-Bonfil,.G.,.C..Gershenson,.and.N..Fernandez, 2017: A package for measuring emergence, self-organization, and complexity based on shannon entropy. Frontiers in Robotics and AI 4(10), 1-12.
|
58 |
Rosenstock, T. S., C. Lamanna, S. Chesterman, P. Bell, A. Arslan, M. Richards, J. Rioux, A. O. Akinleye, C. Champalle, Z. Cheng, C. CornerDolloff, J. Dohn, W. English, A. S. Eyrich, E. H. Girvetz, A. Kerr, M. Lizarazo, A. Madalinska, S. McFatridge, K. S. Morris, N. Namoi, N. Poultouchidou, M. Ravina da Silva, S. Rayess, H. Strom, K. L. Tully, and W. Zhou, 2016: The scientific basis of climate-smart agriculture: A systematic review protocol. CCAFS Working Paper no. 138. Copenhagen, Denmark: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).
|
59 |
Shannon, C. E., 1948: A Mathematical Theory of Communication. The Bell System Technical Journal 27,379-423, 623-656.
DOI
|
60 |
Sun, H., S. Zhou, Z. Fu, G. Chen, G. Zou, and X. Song, 2016: A two-year field measurement of methane and nitrous oxide fluxes from rice paddies under contrasting climate conditions. Scientific Reports 6, 28255. doi:10.1038/srep28255
DOI
|
61 |
Monteith, J. L., and C. Moss, 1977: Climate and the efficiency of crop production in Britain [and discussion]. Philosophical Transactions of the Royal Society of London B: Biological Sciences 281(980), 277-294.
DOI
|
62 |
Hossen, M. S., M. Mano, A. Miyata, A. Baten, and T. Hiyama, 2012: Surface energy partitioning and evapotranspiration over a double-cropping paddy field in bangladesh. Hydrological Processes 26, 1311-1320.
DOI
|
63 |
Lipper, L., P. Caron, F. Kossam, R. Sessa, P. Thornton, A. Cattaneo, W. Mann, R. Shula, B. M. Campbell, D. Garrity, N. McCarthy, A. Tibu, T. Baedeker, K. Henry, A. Meybeck, R. Hottle, and E. F. Torquebiau, 2014: Climate-smart agriculture for food security. Nature Climate Change 4(12), 1068-1072.
DOI
|
64 |
Lopez-Ruiz, R., H. L. Mancini, and X. Calbet, 1995: A statistical measure of complexity. Physics Letters A 209(5-6), 321-326.
DOI
|
65 |
Meijide, A., G. Manca, I. Goded, V. Magliulo, P. di Tommasi, G. Seufert, and A. Cescatti, 2011: Seasonal trends and environmental controls of methane emissions in a rice paddy field in Northern Italy. Biogeosciences 8, 3809-3821.
DOI
|
66 |
Min, S.-H., K.-M. Shim, Y.-S. Kim, M.-P. Jung, S.-C. Kim, K.-H. So, 2013: Seasonal Variation of Carbon Dioxide and Energy Fluxes During the Rice Cropping Season at Rice-barley Double Cropping Paddy Field of Gimje. Korean Journal of Agricultural and Forest Meteorology 15(4), 273-281. doi:10.5532/kjafm.2013.15.4.273
DOI
|
67 |
Neufeldt, H., M. Jahn, B. M. Campbell, J. R. Beddington, F. DeClerck, A. De Pinto, J. Gulledge, J. Hellin, M. Herrero, A. Jarvis, and D. LeZaks, 2013: Beyond climate-smart agriculture: toward safe operating spaces for global food systems. Agriculture & Food Security 2(1), 12.
DOI
|
68 |
Chun, J. A., K.-M. Shim, S. H. Min, and Q. Wang, 2015: Methane mitigation for flooded rice paddy systems in South Korea using a process-based model. Paddy and Water Environment DOI 10.1007/s10333-015-0484-0.
DOI
|
69 |
Nielsen, S. and S. Jorgensen, 2013: Goal functions, orientors and indicators (GoFOrtIt's) in ecology. Application and functional aspects-Strengths and weaknesses. Ecological Indicators 28, 31-47.
DOI
|
70 |
Kang, N., J. Yun, M. S. A. Talucder, M. Moon, M. Kang, K.-M. Shim, and J. Kim, 2015: Corrections on CH4 fluxes measured in a rice paddy by Eddy covariance method with an open-path wavelength modulation spectroscopy. Korean Journal of Agricultural and Forest Meteorology 17 (1), 15-24.
DOI
|