RESUMO
The relationship between the structure and function of forest ecosystems is the main intere-sts in the research area of forest ecology and management. However, over complex terrains in particular, these studies had been challenged as uneasy tasks due to the limitations in the forest survey and measurement techniques and other supporting technologies. Chinese Academy of Sciences (CAS) funded "Multi-Tower LiDAR/ECFlux Platform for Monitoring the Structure and Function of Secondary Forest Ecosystems" (Multi-Tower Platform, MTP) as a field station network corner-stone research infrastructure project, which was completed by Qingyuan Forest CERN (Chinese Ecosystem Research Network). In a distinctively-bounded and monitored-outlet watershed, the MTP was integrated by light detection and ranging (LiDAR) scanners, eddy covariance (EC) flux instrument systems, whole- and sub-watershed hydrology station network, long-term forest plot arrays, and live data center. Using LiDAR scanning, the MTP can get cloud data for holographic information on canopy structure. The EC-flux instrument system and hydrology station network along with forest plot arrays could ensure the reliability of water and carbon observations over this complex terrain, which allows to verify the studies on flux measurement technologies and methods, as well as to understand the processes of ecohydrology and CO2 exchange between forest ecosystem and the atmosphere. Further, we can also assess the primary ecosystem services, including water conservation and carbon sequestration. All the data from "tower-station" were streamed through wireless network, which would facilitate data monitoring, management, and sharing. There are three tasks of MTP team: 1) defining innovative methods and descriptors to quantify three-dimensional forest structure; 2) developing theories and techniques to measure CO2/H2O fluxes and other trace gases over complex terrains; 3) understanding the relationship between structure and function of forest ecosystems, providing information and rationales for forest management practices to assure broad and sustainable benefits from forests.
Assuntos
Ecossistema , Árvores , Atmosfera , Florestas , Reprodutibilidade dos TestesRESUMO
OBJECTIVE: To investigate the genotype and characteristics of Neisseria gonorrhoeae (N.gonorrhoeae) isolates with reduced susceptibility to ceftriaxone in Shenzhen from 2009 to 2011. METHODS: A total of 296 N.gonorrhoeae isolates were collected in Shenzhen from 2009 to 2011.ceftriaxone strains (minimum inhibitory concentration between 0.06 and 0.50 µg/ml) were determined by agar dilution method.Logistic regression was used to analyze the associated factors of ceftriaxone N.gonorrhoeae infection.Neighbor-joining (NJ) phylogenetic tree analysis and N.gonorrhoeae multi antigen sequence typing (NG-MAST) were performed on all ceftriaxone isolates and susceptible control isolates randomly selected in accordance with the principle of 1: 1 sampling. RESULTS: No isolates displayed resistance to ceftriaxone, whereas 53(17.9%) showed reduced susceptibility to ceftriaxone among 296 isolates.Only antibiotic use in recent two months was associated with ceftriaxone isolates infection (OR = 3.080, 95%CI: 1.376-6.894) . Among the ceftriaxone isolates, 48 different ST were identified including 5 STs (ST1768, ST3927, ST641, ST7076 and ST7078) containing 2 isolates and 43 single STs. There were 26 STs previously reported from HongKong in China.Low sensitive strains clustering was not observed by NJ phylogenetic tree. CONCLUSION: The proportion of ceftriaxone strains among the 296 N.gonorrhoeae isolates collected from 2009 to 2011 in Shenzhen is high. The STs of ceftriaxone strains may have unique epidemic features in Shenzhen.
