Liu Yu phenology observations of CERN
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The document discusses using the Chinese Ecosystem Research Network (CERN) as a platform for networked phenology observation and research in China. CERN has 45 field stations across different ecosystems that could be used for long-term and standardized phenology monitoring. However, challenges remain around developing scientific ideas and technologies to couple phenology data collection from cameras and satellites within CERN's existing networks studying topics like climate change and carbon cycling.
Liu Yu phenology observations of CERN
- 1. Looking forward to ideas of Phenology observation and research of CERN: How to Start from Zero Yu Liu Research assistant Synthesis Research Center Key Laboratory of Ecosystem Network Observation and Modeling (LENOM) of Chinese Academy of Science (CAS) Institute of Geographical Sciences and Natural Resources Research, CAS
- 2. Status of networked phenology observation in China • Phenology observation network in China Prof. Zhu Kezhen IGSNRR, CAS Prof. Ge Quansheng IGSNRR
- 3. Status of networked phenology observation in China Cover central and east part of terrestrial China Near capital cities, parks Traditional observation method Relay on Volunteers: most of them are retired professors Lack of sustainable financial support Restored observation sites of phenology network in China (Ge et al., 2010)
- 4. Status of networked phenology observation in China • Papers on phenology in Chinese High frequent satellite data Ground observation is fragmented at present: Isolated observation local, single sites single species or ecosystem Individual held data
- 5. CERN : Good platform for networked phenology observation and research Initiated in 1988 45 field stations with well support infrastructures (2013), all owned by CAS Covering most of the typical ecosystems in China; most of the stations far away from urban area, besides of urban stations. Close Zero in synthesized, networked phenology observation and research CAS owned Newly constructed CAS owned, out of CERN
- 6. Phenology research opportunity and challenges using CERN • Opportunity : CERN encourages Networked observation and research Network research on Carbon-Nitrogen-Water coupling Circle (Focus, Longest time in CERN, Largest financial support) Network research on forest response to environmental factor change (Very good funding) Underground ecological processes network research(e.g. RhizoNet, outlined in 2013) ……
- 7. Network research on forest response to environmental factor change Network research on Carbon-Nitrogen- Water coupling Circle Networked observation and research plan of CERN Dongling Mt. Changbai Mt. Nongga ng Mt. Xishuangbann a Dinghu Mt. Badagong Mt Gutianshan Baotianma n W ater gradient Heatgradient RhizoNet
- 8. CERN : Good platform for networked phenology observation and research Hulunbeier KerqingXilingele Songneng Stations Legend Grassland Regional network: Eastern grassland observation stations
- 9. CERN : Good platform for networked phenology observation and research Yanting Shenyan g Fengqiu Changshu Luancheng Yuchen g Hailun Taoyuan Yingtan Shangqiu Qiyang Soil fertile net Chang wu Luoyan g Changping Quzhou Dezho u Chinese Academy of Agricultural Sciences （ 6 ） Agriculture University （ 1 ） CAS （ 14 ） Guyua n Daa n Nanpi Subei Agro-ecosystem Research ally(2013)
- 10. Regional network ： Heihe Basin 10 SoilNet WATERNet LAINet Li et al., BAMS, 2013, doi: 10.1175/BAMS-D-12-00154.1
- 11. Regional network ： Heihe Basin 11
- 12. Phenology research opportunity and challenges • Phenology An powerful indicator for ecosystem response to environmental factor ant its change Easy to couple with other plans It can be mapped Synthesizable with other data Contour map of flowering timing of Robinia pseudoacacia L.(Li et al, 1999)
- 13. Phenology research opportunity and challenges Personal Questions: How to couple phenology with other network observation and researches using phenocam approach? What’s the common scientific focus? How to mapping phenology based on phenocam data? How to integrate the phenology data to the spatial land observation data set? Such as land cover data.
- 14. Phenology research opportunity and challenges • Challenges: How to use CERN as a networked phenology observation platform? Scientific Ideas: Climate change Sciences, botany sciences……. Technologies: Phenocam network, satellite remote sensing, how to design and couple them? Sustainability: less output, less support
- 15. Push CERN into Phenology • Scientific outputs forecast? What can be anticipated? • International cooperation • Negotiation e.g. CERN and China Phenology network ……
Editor's Notes
- #2: The idea is to give you an opportunity to tell the group what your interest in phenology is, how you see phenocams contributing to your work, and what you would like to get out of the workshop.
- #3: Phenology has a long history. There huge phenological records in materials. The networked phenology observation and research in China started in 1960s.
- #4: They also try to build a online system, to motivate public participation. Problem: difficulties in getting funds for process data.
- #5: Remote sensing, isolated observation, single sites, single species or ecosystem. In a word, phenology observation in china is fragmented at present.
- #6: CERN provided a platform to conducted networked phenology observation and research. For each station, there are several observation sites.
- #7: One of the main pillars of CERN. Recently, some research plan are outlined.
- #9: Some research ally are forming in recently years. Stations out of CERN are joining in.
- #10: They are discussing the network research scientific focus, observation standards.
- #11: The highlights of the experiment is that we try to capture the 3-D heterogeneity of water and energy fluxes using a matrix observation. We have a heterogeneous land surface, dominated by crops. The area correspondences to a few medium-resolution remote sensing pixels or model grids. Based on the difference of land covers, irrigation schemes, and . We mounted 17 eddy covariance towers to measure ET and CO2 fluxes.
- #13: Personally, I think phenology has two inherent advantages. They make phenology can be coupled with many other ecological issues, and data.
- #14: Personally , I am interest in the two Questions.
- #15: Why phenology? How phenology? Funding, labour
- #16: At present, the negotiation is not enough. You, especially TERN and NEON, have experiences. I am looking ford to share your experiences.