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| 1 | Towards a paradigm for open and free sharing of scientific data on global change science in China显示文摘Despite great progress in data sharing that has been made in China in recent decades,cultural,policy,and technological challenges have prevented Chinese researchers from maximizing the availability of their data to the global change science community.To achieve full and open exchange and sharing of scientific data,Chinese research funding agencies need to recognize that preserva-tion of,and access to,digital data are central to their mission,and must support these tasks accord-ingly.The Chinese government also needs to develop better mechanisms,incentives,and rewards,while scientists need to change their behavior and culture to recognize the need to maximize the usefulness of their data to society as well as to other researchers.The Chinese research communi-ty and individual researchers should think globally and act personally to promote a paradigm of open,free,and timely data sharing,and to increase the effectiveness of knowledge development. | Changhui Peng Xinzhang Song Hong Jiang Qiuan Zhu Huai Chen Jing MChen Peng Gong Chang Jie Wenhua Xiang Guirui Yu Xiaolu Zhou | 2016 | Ecosystem Health and Sustainability2016，2，5： | 4 |
| 2 | Integrating a model with remote sensing observations by a data assimilation approach to improve the model simulation accuracy of carbon flux and evapotranspiration at two flux sites显示文摘Model simulation and in situ observations are often used to research water and carbon cycles in terrestrial ecosystems, but each of these methods has its own advantages and limitations. Combining these two methods could improve the accuracy of quantifying the dynamics of the water and carbon fluxes of an ecosystem. Data assimilation is an effective means of integrating modeling with in situ observation. In this study, the ensemble Kalman filter(En KF) and the unscented Kalman filter(UKF) algorithms were used to assimilate remotely sensed leaf area index(LAI) data with the Biome-BGC model to simulate water and carbon fluxes at the Harvard Forest Environmental Monitoring Site(EMS) and the Dinghushan site. After MODIS LAI data from 2000–2004 were assimilated into the improved Biome-BGC model using the En KF algorithm at the Harvard Forest site, the R2 between the simulated and observed results for NEE and evapotranspiration increased by 7.8% and 4.7%, respectively. In addition, the sum of the absolute error(SAE) and the root mean square error(RMSE) of NEE decreased by an average of 21.9% and 26.3%, and the SAE and RMSE of evapotranspiration decreased by 24.5% and 25.5%, respectively. MODIS LAI data of 2003 were assimilated into the Biome-BGC model for the Dinghushan site, and the R2 values between the simulated and observed results for NEE and evapotranspiration were increased by 6.7% and 17.3%, respectively. In addition, the SAE values of NEE and ET were decreased by 11.3% and 30.7%, respectively, and the RMSE values of NEE and ET decreased by 10.1% and 30.9%, respectively. These results demonstrate that the accuracy of carbon and water flux simulations can be effectively improved when remotely sensed LAI data are properly integrated with ecosystem models through a data assimilation approach. | ZHANG TingLong SUN Rui PENG ChangHui ZHOU GuoYi WANG ChunLing ZHU QiuAn YANG YanZheng | 2016 | Science China Earth Sciences2016，59，2： | 3 |
| 3 | Quantification of soil respiration in forest ecosystems across China显示文摘 | Xinzhang Song Changhui Peng Zhengyong Zhao Zhiting Zhang Baohua Guo Weifeng Wang Hong Jiang Qiuan Zhu | 2014 | Atmospheric Environment2014，，： | 1 |
| 4 | Qinghai-tibetan plateau peatland sustainable utilization under anthropogenic disturbances and climate change显示文摘Often referred to as the“Third Pole,”China’s Qinghai-Tibetan Plateau developed large amounts of peatland owing to its unique alpine environment.As a renewable resource,peat helps to regulate the climate as well as performing other important functions.However,in recent years,intensifying climate change and anthropogenic disturbances have resulted in peatland degradation and consequently made sustainable development of peatland more difficult.This review summarizes peatland ecological and economic functions,including carbon sequestration,biodiversity conservation,energy supplies,and ecotourism.It identifies climate change and anthropogenic disturbances as the two key factors attributing to peatland degradation and ecosystem carbon loss.Current problems in environmental degradation and future challenges in peatland management under the effects of global warming are also discussed and highlighted. | Gang Yang Changhui Peng Huai Chen Faqin Dong Ning Wu Yanzheng Yang Yao Zhang Dan Zhu Yixin He Shengwei Shi Xiaoyang Zeng Tingting Xi Qingxiang Meng Qiuan Zhu | 2017 | Ecosystem Health and Sustainability2017，3，3： | 1 |
| 5 | Quantification of provincial-level carbon emissions from energy consumption in China 显示文摘 | GENG Yuhuan TIAN Mingzhong ZHU Qiuan | 2011 | Renewable and Sustainable Energy Reviews2011，15，： | 1 |
| 6 | Quantification of Provincial-level Carbon Emissions from Energy Consumption in China显示文摘 | Geng Yuhuan Tian Mingzhong Zhu Qiuan | 2011 | Renewable and Sustainable Energy Reviews2011，15，： | 1 |
| 7 | Nitrous oxide emissions from three temperate forest types in the Qinling Mountains,China显示文摘To understand soil N2O fluxes from temperate forests in a climate-sensitive transitional zone,N2O emissions from three temperate forest types(Pinus tabulaeformis,PTT;Pinus armandii,PAT;and Quercus aliena var.acuteserrata,QAT)were monitored using the static closed-chamber method from June 2013 to May 2015 in the Huoditang Forest region of the Qinling Mountains,China.The results showed that these three forest types acted as N2O sources,releasing a mean combined level of 1.35±0.56 kg N2O ha^-1 a^-1,ranging from0.98±0.37 kg N2O ha^-1 a^-1 in PAT to 1.67±0.41 kg N2O ha^-1 a^-1 in QAT.N2O emission fluctuated seasonally,with highest levels during the summer for all three forest types.N2O flux had a significantly positive correlation with soil temperature at a depth of 5 cm or in the water-filled pore space,where the correlation was stronger for temperature than for the water-filled pore space.N2O flux was positively correlated with available soil nitrogen in QAT and PAT.Our results indicate that N2O flux is mainly controlled by soil temperature in the temperate forest in the Qinling Mountains. | Wei Xue Changhui Peng Huai Chen Hui Wang Qiuan Zhu Yanzheng Yang Junjun Zhang Wanqin Yang | 2019 | Journal of Forestry Research2019，30，4： | 0 |
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