\u5730\u7403\u8868\u9762\u5b58\u5728\u8457\u8a31\u591a\u4e0d\u540c\u7684\u5730\u8868\u8986\u84cb\u7269\uff0c\u4f46\u8981\u5982\u4f55\u9032\u884c\u5206\u985e\u5462?\u79d1\u5b78\u5bb6\u5011\u5617\u8a66\u6839\u64da\u690d\u88ab\u672c\u8eab\u7684\u751f\u7269\u7269\u7406\u7279\u6027\u4f86\u5206\u985e\uff0c\u7279\u5b9a\u7684\u690d\u88ab\u7a2e\u985e\uff0c\u4f8b\u5982\uff1a\u5e38\u7da0\u95ca\u8449\u6797\u3001\u843d\u8449\u6797\u3001\u6df7\u5408\u6797\u3001\u91dd\u8449\u6797\u3001\u704c\u6728\u6797\u3001\u8349\u53e2\u6797\u3001\u8349\u539f\u3001\u8fb2\u5730\u8207\u6fd5\u5730\u7b49\u7b49\uff0c\u88ab\u6b78\u985e\u81f3\u540c\u4e00\u7a2e\u690d\u7fa4\uff0c\u56e0\u5176\u9069\u61c9\u74b0\u5883\u6c23\u5019\u72c0\u614b\u6539\u8b8a\u7684\u80fd\u529b\u76f8\u4f3c\u3002\u56e0\u6b64\uff0c\u6211\u5011\u7a31\u6b64\u7a2e\u5206\u985e\u65b9\u5f0f\u70ba\u690d\u7fa4\u529f\u80fd\u985e\u5225\uff08Plant functional type\uff09\uff0c\u5c31\u5982\u540c\u751f\u6d3b\u5728\u5730\u7403\u4e0a\u7684\u4e0d\u540c\u5730\u5340\u4eba\u7fa4\u901a\u5e38\u6703\u7fd2\u6163\u4f7f\u76f8\u540c\u7684\u8a9e\u8a00\u4f86\u9032\u884c\u6e9d\u901a\u3002\u56de\u982d\u518d\u770b\u770b\u5716\uff08\u56db\uff09\uff0c\u6211\u5011\u53ef\u4ee5\u660e\u986f\u5bdf\u89ba\u51fa\u4f86\u96d6\u7136\u4e0d\u540c\u690d\u7fa4\u90fd\u5177\u5099\u78b3\u5438\u5b58\u80fd\u529b\uff0c\u4f46\u67d0\u4e9b\u690d\u7fa4\u537b\u64c1\u6709\u66f4\u9ad8\u7684\u78b3\u5438\u5b58\u80fd\u529b\uff0c\u800c\u6709\u4e9b\u5247\u662f\u8f03\u5f31\uff0c\u4f46\u5e74\u969b\u8b8a\u5316\u4e0d\u5927\u3002<\/p>\n
![\"\"](\"https:\/newsletter.sinica.edu.tw\/wp-content\/uploads\/2021\/10\/article-02.jpg\")
\u5716\uff08\u4e94\uff09\u3001\u8f49\u63db\u4e0d\u540c\u68ee\u6797\u5730\u8868\u8986\u84cb\u5c0d\u65bc\u5340\u57df\u6c23\u5019\u6696\u5316\u7684\u8ca2\u737b\uff0c\u6c34\u6c23\u653e\u5c04\u7387\u6539\u8b8a\u6240\u8ca2\u737b\u4e4b\u6c23\u6eab\u6539\u8b8a\uff08a\uff09\u3001\u5730\u8868\u53cd\u7167\u7387\u8b8a\u5316\uff08b\uff09\u3001\u6c23\u6eab\u8b8a\u5316\uff08c\uff09\u6c23\u6eab\u8b8a\u5316\u8207\u7269\u7a2e\u8f49\u63db\u95dc\u4fc2\uff08d\uff09\uff0c\u8f49\u8f09Naudts\u7b49\u4eba\uff082016\uff09\u4e4b\u8ad6\u6587\u3002<\/p><\/div>\n
\u70ba\u4e86\u77ad\u89e3\u5168\u7403\u6696\u5316\u5c0d\u5730\u7403\u6c23\u5019\u7cfb\u7d71\u6240\u5e36\u4f86\u7684\u885d\u64ca\uff0c\u6c23\u5019\u5b78\u5bb6\u8207\u751f\u614b\u5b78\u5bb6\u81f4\u529b\u65bc\u767c\u5c55\u53ef\u4ee5\u540c\u6642\u8003\u91cf\u5927\u6c23\u52d5\u529b\u3001\u5730\u8868\u904e\u7a0b\u8207\u6d77\u6d0b\u74b0\u6d41\u7684\u5730\u7403\u6c23\u5019\u7cfb\u7d71\u6a21\u5f0f\uff0c\u76ee\u7684\u70ba\u4e86\u89e3\u5730\u7403\u6c23\u5019\u7cfb\u7d71\u7684\u524d\u4e16\u8207\u4eca\u751f\uff08\u8a31\u6643\u96c4\uff0c2018\uff09\u3002\u5176\u4e2d\uff0c\u5730\u8868\u904e\u7a0b\u6a21\u5f0f\u5728\u904e\u53bb\u7684\u4e09\u5341\u81f3\u56db\u5341\u5e74\u9593\u6301\u7e8c\u4e0d\u65b7\u7684\u7cbe\u9032\u8207\u6539\u826f\uff0c\u5f9e\u7c21\u6613\u7684\u5927\u8449\u6a21\u5f0f\u9032\u5316\u5230\u8907\u96dc\u7684\u591a\u5c64\u690d\u88ab\u6a21\u578b\uff08Chen et al., 2016\uff09\u3002\u6211\u5011\u53ef\u4ee5\u5c07\u5176\u60f3\u50cf\u6210\u4e00\u500b\u6a21\u7d44\u5316\u7684\u901a\u8a0a\u8edf\u9ad4\uff0c\u800c\u9019\u500b\u6a21\u7d44\u5316\u7684\u901a\u8a0a\u8edf\u9ad4\u88ab\u5ee3\u6cdb\u61c9\u7528\u65bc\u4e86\u89e3\u4e0d\u540c\u5730\u8868\u74b0\u5883\u8b8a\u9077\u5c0d\u5730\u7403\u6c23\u5019\u7cfb\u7d71\u4e4b\u5f71\u97ff\u3002\u4f8b\u5982\u4e86\u89e3\u904e\u53bb\u6797\u696d\u653f\u7b56\u5c0d\u65bc\u5340\u57df\u6c23\u5019\u8b8a\u5316\u7684\u8ca2\u737b\uff1b\u5728\u904e\u53bb\u7684\u4e8c\u767e\u4e94\u5341\u5e74\u9593\u6b50\u6d32\u5927\u9678\u56e0\u70ba\u504f\u597d\u683d\u7a2e\u91dd\u8449\u6a39\uff0c\u4f46\u5176\u6697\u8272\u7cfb\u7684\u7269\u7406\u7279\u6027\u4f7f\u5176\u5438\u6536\u4e86\u8f03\u591a\u77ed\u6ce2\u8f3b\u5c04\u80fd\uff0c\u9020\u6210\u8fd1\u5730\u8868\u6c34\u6c23\u4e0d\u6613\u6563\u53bb\u5f62\u6210\u5340\u57df\u589e\u6eab\u7684\u6c23\u5019\u8b8a\u5316\uff0c\u5982\u5716\uff08\u4e94\uff09\u6240\u793a\u3002<\/p>\n
\u9664\u4e86\u61c9\u7528\u5728\u4e86\u89e3\u904e\u53bb\u7684\u6c23\u5019\u8b8a\u5316\uff0c\u9019\u500b\u6a21\u7d44\u5316\u7684\u901a\u8a0a\u8edf\u9ad4\u4e5f\u61c9\u7528\u5728\u64ec\u5b9a\u672a\u4f86\u6797\u696d\u7ba1\u7406\u7b56\u7565\uff0c\u89e3\u7b54\u4eba\u985e\u662f\u5426\u6709\u6a5f\u6703\u53bb\u9054\u6210\u9810\u5148\u8a2d\u5b9a\u7684\u6c23\u5019\u76ee\u6a19\uff0c\u6d1e\u6089\u4e0d\u540c\u793e\u6703\u7d93\u6fdf\u767c\u5c55\u689d\u4ef6\u4e0b\u53ef\u80fd\u7522\u751f\u7684\u4eba\u70ba\u6c23\u5019\u8b8a\u5316\uff08Luyssaert et al., 2018\uff09\u3002<\/p>\n
\u7d50\u8a9e<\/strong><\/p>\n\u900f\u904e\u524d\u8ff0\u7684\u4ecb\u7d39\uff0c\u4e86\u89e3\u7814\u7a76\u5de5\u4f5c\u8005\u662f\u5982\u4f55\u900f\u904e\u4e86\u89c0\u6e2c\u6280\u8853\u7684\u7a81\u7834\uff08\u9ad8\u983b\u5ea6\u7684\u6c23\u9ad4\u6fc3\u5ea6\u89c0\u6e2c\uff09\u5f97\u4ee5\u4f7f\u7528\u6e26\u6d41\u76f8\u95dc\u6cd5\u6e2c\u5b9a\u4e0d\u540c\u5730\u8868\u8986\u84cb\u7269\u8207\u5927\u6c23\u4e4b\u9593\u7684\u8cea\u3001\u80fd\u4ea4\u63db\u8207\u8b8a\u5316\u901f\u7387\uff0c\u66f4\u900f\u904e\u5168\u7403\u901a\u91cf\u7db2\u8207\u767c\u5c55\u5730\u8868\u904e\u7a0b\u6a21\u5f0f\u5617\u8a66\u7406\u89e3\u6c23\u5019\u7cfb\u7d71\u8b8a\u5316\u8207\u5730\u8868\u74b0\u5883\u6539\u8b8a\u4e4b\u9593\u7684\u5fae\u5999\u95dc\u4fc2\u3002\u89c0\u6e2c\u8207\u6a21\u64ec\u7684\u6642\u9593\u5c3a\u5ea6\u5f9e\u6beb\u79d2\u5230\u767e\u5e74\uff0c\u7a7a\u9593\u5c3a\u5ea6\u7531\u55ae\u4e00\u6e2c\u7ad9\u81f3\u6d32\u969b\u5927\u9678\u3002\u4e5f\u8a31\u6211\u5011\u53ef\u4ee5\u5617\u8a66\u53cd\u601d\u5728\u81fa\u7063\u9019\u500b\u9762\u7a4d\u4e0d\u5927\uff0c\u4f46\u5728\u5782\u76f4\u68af\u5ea6\u4e0a\u537b\u64c1\u6709\u8de8\u6c23\u5019\u578b\u614b\u4e4b\u5730\u8868\u8986\u84cb\u3002\u5728\u6211\u5011\u6240\u751f\u6d3b\u7684\u74b0\u5883\u5468\u906d\u662f\u5426\u6709\u90a3\u4e9b\u74b0\u5883\u6539\u8b8a\u6b63\u5728\u6084\u6084\u7684\u767c\u751f\uff0c\u537b\u88ab\u6211\u5011\u4e0d\u7d93\u610f\u7684\u5ffd\u7565\uff0c\u800c\u9019\u4e9b\u74b0\u5883\u6539\u8b8a\u5c0d\u65bc\u6211\u5011\u7684\u751f\u6d3b\u53c8\u5b58\u5728\u8457\u4ec0\u9ebc\u6a23\u7684\u5f71\u97ff\u5462\uff1f<\/p>\n
\u8fd1\u671f\u6211\u7684\u7814\u7a76\u662f\u5617\u8a66\u900f\u904e\u91cd\u5efa\u81fa\u7063\u904e\u53bb\u767e\u5e74\u4f86\u7684\u571f\u5730\u5229\u7528\u8b8a\u5316\u642d\u914d\u6a21\u7d44\u5316\u7684\u5730\u8868\u904e\u7a0b\u6a21\u5f0f\u5617\u8a66\u628a\u9019\u4e9b\u904e\u53bb\u88ab\u5ffd\u7565\u7684\u7dda\u7d22\u627e\u56de\u4f86\uff08Chen et al., 2018, 2019\uff09\uff0c\u4e26\u5c07\u7814\u7a76\u91cd\u9ede\u653e\u5728\u81fa\u7063\u5730\u5340\u68ee\u6797\u78b3\u5132\u84c4\u91cf\u53d7\u5230\u74b0\u5883\u64fe\u52d5\u7684\u5f71\u97ff\uff0c\u5c31\u76ee\u524d\u6240\u7372\u5f97\u7684\u6a21\u5f0f\u6a21\u64ec\u7d50\u679c\u4f86\u770b\uff0c\u81fa\u7063\u672c\u5cf6\u7684\u78b3\u5132\u84c4\u91cf\u53d7\u5230\u98b1\u98a8\u707d\u5bb3\u640d\u5931\u8f03\u5176\u4ed6\u985e\u5225\u7684\u74b0\u5883\u64fe\u52d5\u4f86\u5f97\u5927\uff0c\u9019\u4e9b\u74b0\u5883\u64fe\u52d5\u5206\u5225\u662f\uff1a\u4eba\u70ba\u571f\u5730\u5229\u7528\u8b8a\u5316\u3001\u5340\u57df\u6c23\u5019\u8b8a\u5316\u4ee5\u53ca\u4e8c\u6c27\u5316\u78b3\u65bd\u80a5\uff08Chen et al., n. d.\uff09\u3002\u63a2\u7d22\u5927\u81ea\u7136\u7684\u5967\u5999\u59cb\u65bc\u4eba\u985e\u5c0d\u65bc\u74b0\u5883\u5468\u906d\u6539\u8b8a\u7684\u597d\u5947\u5fc3\u8207\u6c42\u77e5\u617e\uff0c\u5c31\u5982\u540c\u5927\u822a\u6d77\u6642\u4ee3\u5730\u7406\u5b78\u5bb6\u5011\u4e4b\u65bc\u4e16\u754c\u7684\u63a2\u7d22\u3002\u6211\u5011\u7531\u904e\u53bb\u4e09\u89d2\u6e2c\u91cf\u7684\u6642\u4ee3\u9081\u5411\u7121\u7dda\u901a\u8a0a\u7684\u6642\u4ee3\uff0c\u6709\u8a31\u591a\u79d1\u5b78\u8cc7\u8a0a\u8207\u6578\u503c\u6a21\u5f0f\u6b63\u5982\u706b\u5982\u837c\u7684\u767c\u5c55\u4e2d\uff0c\u4e26\u900f\u885b\u661f\u89c0\u6e2c\u6280\u8853\u8207\u5730\u9762\u89c0\u6e2c\u7db2\u5f97\u5230\u5b8c\u5584\u3002\u671f\u52c9\u81ea\u5df1\u8207\u5e74\u8f15\u5b78\u5b50\u4fdd\u6709\u4e00\u500b\u8d64\u5b50\u4e4b\u5fc3\uff0c\u651c\u624b\u5171\u540c\u63a2\u7d22\u4f4e\u885d\u64ca\u7684\u74b0\u5883\u767c\u5c55\u9014\u5f91\uff0c\u8b93\u672a\u4f86\u7684\u5730\u7403\u9081\u5411\u6c38\u7e8c\uff0c\u5ddd\u6d41\u4e0d\u606f\u3002<\/p>\n
\u5f15\u7528\u6587\u737b<\/strong><\/p>\nChen, Y.-Y. and M. H. Li (2012): Determining adequate averaging periods and reference coordinates for eddy covariance measurements of surface heat and water vapor fluxes over mountainous terrain. Terr. Atmos. Ocean. Sci<\/em>., 23, 685-701, http:\/doi.org\/10.3319\/TAO.2012.05.02.01(Hy)
\nChen, Y.-Y., Chu, Chia-Ren, Li, and Ming-Hsu, (2012): A gap-filling model for eddy covariance latent heat flux: Estimating evapotranspiration of a subtropical seasonal evergreen broad-leaved forest as an example, Journal of Hydrology<\/em>, 468, 101-110, https:\/doi.org\/10.1016\/j.jhydrol.2012.08.026
\nChen, Y.-Y., Gardiner, B., Pasztor, F., Blennow, K., Ryder, J., Valade, A., Naudts, K., Otto, J., McGrath, J. M., Planque, C., and Luyssaert, S., (2018): \u201cSimulating damage for wind storms in the land surface model ORCHIDEE-CAN (revision 4262)\u201d, Geoscientific Model Development<\/em>, 11, 771-791, https:\/doi.org\/10.5194\/gmd-11-771-2018
\nChen, Y.-Y., Huang, W., Cheng, C.-T., Hong, J.-S., Yeh, F.-L., and Luyssaert, S. (n. d. , under review): Simulated impact of environmental disturbances on forest biomass in Taiwan, Journal of Geophysical Research-Biogeosciences<\/em>
\nChen, Y.-Y., Huang, W., Wang, W.-H., Juang, J.-Y., Hong, J.-S., Kato, T., and Luyssaert, S. (2019): Reconstructing Taiwan\u2019s land cover changes between 1904 and 2015 from historical maps and SPOT images, Scientific Reports<\/em>, https:\/doi.org\/10.1038\/s41598-019-40063-1
\nLuyssaert, S., Marie, G., Valade, A., Chen, Y.-Y., Djomo, S.N., Ryder, J., Otto, J., Naudts, K., Lans\u00f8, A.S., Ghattas, J., and M. McGrath (2018): Trade-offs in using European forests to meet climate objectives, Nature<\/em>, 526, 259-262, https:\/doi.org\/10.1038\/s41586-018-0577-1
\nNaudts, K., Chen, Y.-Y., McGrath, M., Ryder, J., Aude, V., Juliane, O., and Luyssaert, S., (2016): \u201cEurope\u2019s forest management did not mitigate climate warming\u201d, Science<\/em>, 351(6273), 597-600, https:\/doi.org\/10.1126\/science.aad7270
\nPan, Y. , and E. G. Patton (2020): Determining stationary periods across multiple sensors: An application to observed canopy turbulence response to atmospheric stability, J. Atmos. Oceanic Tech<\/em>. , 37, 665-685, https:\/doi.org\/10.1175\/JTECH-D-19-0135.1
\nPastorello, G., Trotta, C., Canfora, E. et al. (2020): The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data<\/em> 7, 225 (2020). https:\/doi.org\/10.1038\/s41597-020-0534-3
\nWikipedia contributors, ‘Eddy covariance’, Wikipedia<\/em>, The Free Encyclopedia, 15 May 2021, 22:09 UTC, <https:\/ https:\/en.wikipedia.org\/wiki\/Eddy_covariance> [accessed 15 September 2021]
\n\u5433\u81f4\u7504\uff0c2009\uff0c\u68f2\u862d\u5c71\u901a\u91cf\u7ad9\u4e8c\u6c27\u5316\u78b3\u901a\u91cf\u8cc7\u6599\u88dc\u907a\u65b9\u6cd5\u4e4b\u6bd4\u8f03\uff0c\u570b\u7acb\u6771\u83ef\u5927\u5b78\u8ad6\u6587\u3002
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