MON-SO-IBYCYSI2007.01 Charles Hopkinson

Ecosystems Center MBL 7 MBL Woods Hole MA 02543 USA

Plum Island Ecosystems LTER Program

The Ecosystems Center Marine Biological Lab 7 MBL St Woods Hole MA 02543 USA

(508) 289 7485 pie_im@mbl.edu http://ecosystems.mbl.edu/PIE/ Hap Garritt additional investigator 2008 15 minute readings of water column temperature, salinity, oxygen and depth in Plum Island Sound at the Ipswich Bay Yacht Club. PIE LTER primary production disturbance temperature oxygen conductivity salinity depth saturation gas Plum Island Sound monitoring Acceptance and utilization of PIE-LTER data requires that: The Principal Investigator be sent a notice stating reasons for acquiring any data and a description of the publication intentions. The Principal Investigator of the data set be sent a copy of the report or manuscript prior to submission and be adequately cited in any resultant publications A copy of any resultant publications should be sent to: Principal Investigator Ecosystems Center Marine Biological Laboratory Woods Hole, MA 02543 http://ecosystems.mbl.edu/PIE/data/MON/MON-SO-IBYCYSI2007.html Mouth of Plum Island Sound, on Ipswich Bay Yacht Club pier, Ipswich, Massachusetts. -70.79658 -70.79658 42.70899 42.70899 2007-04-09 2007-12-04 Data Manager

The Ecosystems Center Marine Biological Lab 7 MBL St Woods Hole MA 02543 USA

(508) 289 7485 pie_im@mbl.edu http://ecosystems.mbl.edu/PIE/ Plum Island Ecosystems LTER

The Ecosystems Center Marine Biological Lab 7 MBL St Woods Hole MA 02543 USA

(508) 289 7485 pie_im@mbl.edu http://ecosystems.mbl.edu/PIE/ Measurements are made using a YSI 6600 water quality sonde and YSI 6200 Data Collection Platform (DCP) with data radio telemetered to the PIE LTER Rowley field station. YSI Sonde sensors consist of 6562 dissolved oxygen probe (rapid pulse – Clark type,polarographic), 6150 optical dissolved oxygen probe, 6560 conductivity/temperature probe (thermistor) and vented level depth sensor (stainless steel strain gauge). Missing data or blank values are caused by maintenance time periods or where sensor measurements are obviously wrong in the context of what would be expected. For example, the conductivity sensor has a relatively small opening and chamber for the conductivity electrodes, the estuary can have varying suspended sediment/detrital loads moving in the water column which enter the conductivity cell shorting out the electrodes making a faulty conductivity measurement (lower than expected). Oxygen measurements are dependent upon the conductivity measurements so the oxygen also becomes erroneous. Obvious measurements/data errors have been removed from the data set however the user of this data should also conduct their own data analysis to determine if the data are suitable for their particular situation. Typical sensor/data problems are: For oxygen: Fouling of Clark style DO probe where membrane gets a brownish bacterial? film affecting DO sensor readings/calibration checks. For conductivity: Conductivity cell can have detrital material stuck in it, shorting out cell, resulting in lower than expected conductivity. For depth: Depth strain gage pressure sensor may come out of the water at low tides resulting in many "zero" depth readings or sometimes negative values. During 2007 an optical DO probe using fluorescnce was tested alongside the more traditional Clark DO sensor. Optical DO probe test along side the Clark style probe at IBYC starting 4/9/07. YSI % sat reporting, DO% YSI (YSI cal, from Standard Methods) refers to calibration at a particular ATM pressure which allows DO% during calibration to fluctuate above/below 100% when ATM is above/below reference 760 or 1 ATM. DO% Local reporting (Hydrolab/previous metab studies) refers to calibration at a particular ATM pressure but it forces the DO% to be 100%, does not allow it to be under or above if ATM is above/below 760. DO% Local data should be used for metabolism studies when correcting for diffusion based on gradient deviations from 100% which by definition is the % saturation of oxygen in air at 760 or 1 ATM. DO% YSI should not be used for diffusion corrections since it would require a known ATM pressure at each interval to calculate the ATM % sat of oxygen to be used for that interval, probably a small correction anyway. Concentration of DO remains the same for either calibration. Anne Giblin

The Ecosystems Center Marine Biological Lab 7 MBL St Woods Hole MA 02543 USA

(508) 289 7488 agiblin@mbl.edu Lead PI Hap Garritt

The Ecosystems Center Marine Biological Lab 7 MBL St Woods Hole MA 02543 USA

(508) 289 7485 pie_im@mbl.edu Information Manager The Plum Island Ecosystems (PIE) LTER is an integrated research, education and outreach program whose goal is to develop a predictive understanding of the long-term response of watershed and estuarine ecosystems at the land-sea interface to changes in climate, land use and sea level. The principal study site is the Plum Island Sound estuary, its coupled Parker, Rowley and Ipswich River watersheds and the adjacent coastal ocean, the Gulf of Maine. The PIE LTER focuses on how several aspects of global change influence organic matter and inorganic nutrient biogeochemistry and estuarine foodwebs. The inputs of organic matter and nutrients from land, ocean and marshes interact with the external drivers (climate, land use, river discharge, sea level) to dictate the extent and degree of nutrient and organic matter processing and determine the spatial patterns of estuarine productivity and trophic structure. This material is based upon work supported by the National Science Foundation under Grants OCE-9726921, OCE-0423565. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. The Plum Island Ecosystems (PIE) LTER site, is located in northeastern Massachusetts, 42.72 N, 70.85 W. The PIE LTER lies at the interface of a thinly soiled, formerly glaciated New England land mass and the highly productive Gulf of Maine. Three watersheds comprise the estuarine drainage basin: Parker (155 km2), Rowley (26 km2) and Ipswich (404 km2). The Ipswich River watershed is highly urbanized with Boston "bedroom" communities encroaching in the headwater region while the Parker is less urbanized and retains a higher proportion of forest. -71.2198 -70.7568 42.8276 42.4965 0 100 meter uid=PIE,o=lter,dc=ecoinformatics,dc=org all public read MON-SO-IBYCYSI2007.dat Year 2007, 15 minute interval, water quality measurements of water column temperature, salinity, oxygen, and depth near the mouth of Plum Island Sound, Massachusetts MON-SO-IBYCYSI2007.dat 1 column , http://ecosystems.mbl.edu/PIE/data/MON/data/MON-SO-IBYCYSI2007.dat Date Date Date of sampling dd-mmm-yyyy Time Time Time of sampling (eastern standard time EST, 24 hour) hh:mm:ss Station Station Name of sampling station Name of sampling station Temp Temp Temperature of water celsius real SpCond SpCond Specific conductivity of water millisiemensPerCentimeter real Cond Cond Conductivity of water millisiemensPerCentimeter real Salinity Salinity Salinity of water partsPerThousand real DO% YSI DO% YSI Clark style percent dissolved oxygen saturation of water, YSI calibration varies with ATM pressure percent real DO% Local DO% Local Clark style percent dissolved oxygen saturation of water, calibration fixed at 100% in air percent real DO Conc DO Conc Clark style dissolved oxygen concentration of water milligramsPerLiter real DO Charge DO Charge Clark style dissolved oxygen sensor charge dimensionless real ODO% YSI ODO% YSI Optical DO, percent dissolved oxygen saturation of water, YSI calibration varies with ATM pressure percent real ODO% Local ODO% Local Optical DO, percent dissolved oxygen saturation of water, calibration fixed at 100% in air percent real ODO Conc ODO Conc Optical DO dissolved oxygen concentration of water milligramsPerLiter real Depth Depth Water column depth above sonde pressure transducer meter real Comments Comments Comments about specific data Comments about specific data conductivity unit ratio of two quantities as parts per thousand (1:1000) ratio of two quantities as percent composition (1:100)