1. Source: Paul Hanson

2. Collaboration in Environmental Science Global Lake Ecological Observatory Network A grassroots network of –People: lake scientists, engineers, information technology experts –Institutions: universities, national laboratories, agencies –Programs: PRAGMA, AS-Forest Biogeochemistry,US-LTER, TERN, KING, EcoGrid, etc. –Instruments –Data Linked by a common purpose and cyberinfrastructure With a goal of understanding lake dynamics at local, regional, continental, and global scales

3. Lake observatories Data People 3 Networks Source: Paul Hanson

4. 1.19 countries participating 2.More than 120 scientists 3.Most sites are developing Source: Paul Hanson

5. GLEON’s Mission Facilitate interaction and build collaborations among an international, multidisciplinary community of researchers focused on understanding, predicting, and communicating the impact of natural and anthropogenic influences on lake ecosystems by developing, deploying, and using networks of emerging observational system technologies and associated cyberinfrastructure. http://gleon.org Source: Tim Kratz

6. Some current issues in limnology amenable to “observatory” approach Source, movement, and fate of carbon in lakes and watersheds Pelagic/littoral coupling Role of episodic events, thresholds, and non- linear dynamics Coupling of physical and biological processes Source: Tim Kratz

7. GLEON Activities Share experience, expertise, and data Catalyze joint projects Develop tools Conduct multi-site training Create opportunities for students Meet and communicate regularly

8. Frequency of measurement Spatial extent Annual 100 km MonthlyWeeklyDailyHourlyMin. Sec. 10 km 1 km 100 m 10 m 1 m 10 cm Existing Sensor Networks random selection from Ecology 2003 Science depends on inextricable link among questions, models, and observations Source: Porter, Arzberger,Hanson, Lin, Kratz, et al. Bioscience (2005) Questions Models Observations sensor networks Slide courtesy of Paul Hanson

9. Lake Erken: Deployment Visit 25 – 29 June 2007 Install DataTurbine and database system Gather unique requirements and document process to inform and improve future deployments and developments Train local staff Understand challenges at site level where IT level typical of most sites GOALS

10. Lake Sunapee Photo: Midge Eliassen Collaboration – scientists, educators, lake association Motivated by diverse interests Supported by diverse funding Lake Sunapee, NH – a recent addition Source: Paul Hanson

11. Creating a Persistent Infrastructure to Enable Network Science Harden Current Prototypes Leverage NSF DataTurbine Improve Deployment, Use Document Process – Enable Scaling Conduct Science Provide Training Continue to Build Community with NSF GLEON RCN

12. GLEON and the ISSE Model Soyang( 소 양 ) Korea Mendota, Madison, Wisconsin Yuan Yang Lake, Taiwan Drinking Water Recreation, Property Value Citizens react when quality degrades New policies on land use around lake/reservoir Integrated Science for Society and the Environment

13. A grassroots approach to sensor and science networks “The international, grassroots model offers a unique approach for confronting the challenges of doing networked science across large geographic extents.” “Science is about people …” Attributes the lead to success: – Community-based science agenda: creates buy-in – Shared data, expertise, and solutions: develops community trust – Representative and open governance structure: empowers individuals, rewards initiative and flexibility – International focus: provides global perspective. “Ecology is venturing into the realm of big science, … let’s remember that the ecological community consists of many individuals willing and eager to contribute … ” Source: PC Hanson, Frontiers in Ecology and the Environment, Sept 2007, p343