| Contributors | Affiliation | Role |
|---|---|---|
| Menge, Bruce A. | Oregon State University (OSU) | Principal Investigator |
| Gravem, Sarah | Oregon State University (OSU) | Co-Principal Investigator |
| York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This time series is part of the LTREB project listed on this page (Award DEB-2050017) and was supported by the prior awards listed in the “Awards” section on this page.
PISCO = Partnership for Interdisciplinary Studies of Coastal Oceans
MARINe = Multi-Agency Rocky Intertidal Network
To characterize the temperature regime at each site, we used existing temperature loggers deployed by the PISCO and MARINe research programs. Temperature loggers (HOBO TidBit v2 by Onset) were deployed at fixed locations inside steel mesh cages, set to record every 15 mins, and swapped every ~6-12 months. Once loggers were collected, we assigned the tidal levels for each site and time stamp using Xtide software (https://flaterco.com/xtide/files.html) and the nearest harmonic tidal station. See Gravem et al. (2024, doi:10.1111/jbi.15029; Appendix S1, Table S1.2a). We graphed the temperature and the tide heights for each logger, and used this to visually estimate the shore level of the logger to the nearest 0.5 ft (air temperatures have clearly higher variance than water temperatures). We assigned any tide height higher than the logger height as “water” and any tide height lower than the logger height as “air”. We calculated the daily average mean and maximum air and water temperatures at each site. We also calculated the average daily mean, minimum and maximum water temperature. On wavy days, temperatures assigned as air temperatures probably intermittently submerged. However, we are more interested in air temperature stress than average air temperature, so our focal air temperature metric was maximum daily air temperature, which likely occurred during the lowest tides when waves were not washing over the loggers.
* Table within the submitted file "Temps_Daily.csv" was imported into the BCO-DMO data system for this dataset. Values "NA" imported as missing data values. Table will appear as Data File: 990924_v1_daily-intertidal-temps.csv (along with other download format options).
* Sheet 1 within file "TempLogger_LatLongShoreLevel_2023-11-17_SAG.xlsx" was imported and appears in this dataset as "templogger-site-metadata.csv"
* Table within BCODMO_SiteList_STARS_2023-04-11_SAG.xlsx added as supplemental file sitelist_stars.csv
Missing Data Identifiers:
* In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.
* Column names in the supplemental table were adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* lat and lon values rounded to five decimal places
* daily_meantemp_c contained long decimals and was rounded to two decimal places as consistent with the precision show in the daily_mintemp_c and daily_maxtemp_c columns.
| Parameter | Description | Units |
| pisco_code | Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) code for site | unitless |
| SiteCode_OSU | Unique abbreviated code for each site | unitless |
| Name | Unique long form site name for each site | unitless |
| State | US state in which site is located | unitless |
| Cape | Cape assignment for site (i.e. nearest headland) | unitless |
| Region | Region as Oregon, NorCal (N of SF Bay), CenCal (Pt Conception to SF Bay), or So Cal (S of Pt Conception) | unitless |
| Latitude | Logger latitude coordinate in decimal degrees | decimal degrees |
| Longitude | Logger longitude coordinate in decimal degrees | decimal degrees |
| date | date of record | unitless |
| year | year of record | unitless |
| month | month of record | unitless |
| yearmonth | year and month of record | unitless |
| day | day of record | unitless |
| zonetype | High (XHS), mid (XMS) or low (XLS) zone within the intertidal. high is in barnacle zone, mid in mussel zone, and low below mussel zone. | unitless |
| airwater | whether most likely recorded in air or water based on the shore level of logger and tide height at time of record | unitless |
| n_records | number of records in air or water taken that day | count |
| mean_dailytemp_c | mean temperature of records in air or water taken that day | degrees Celsius |
| max_dailytemp_c | max temperature of records in air or water taken that day | degrees Celsius |
| min_dailytemp_c | minimum temperature of records in air or water taken that day | degrees Celsius |
| Dataset-specific Instrument Name | HOBO TidBit v2 by Onset |
| Generic Instrument Name | Onset HOBO TidbiT v2 (UTBI-001) temperature logger |
| Generic Instrument Description | A temperature logger that measures temperatures over a wide temperature range. It is designed for outdoor and underwater environments and is waterproof to 300 m. A solar radiation shield is required to obtain accurate air temperature measurements in sunlight (RS1 or M-RSA Solar Radiation Shield). With an operational temperature range between -20 degrees Celsius and +70 degrees Celsius, the TidbiT v2 has an accuracy of +/-0.21 and a resolution of 0.02 degrees Celsius. |
NSF abstract:
In recent decades, ocean ecosystems, long thought to be immune to change, have undergone disruptions to their structure, diversity, and geographic range, yet the actual underlying reasons for such changes in oceanic biota are often unclear. Coastal intertidal zones (i.e., the shore between high and low tides) have long served as important ecological model systems because of advantages in accessibility and ease of observation, occupancy by easily studied and manipulated organisms of relatively short lifespans, and exposure to often severe environmental conditions. This research will address the stability of a well-known rocky shore system along the Oregon and California coasts. Prior long-term research indicates that, although casual observation suggests these systems are stable, in fact, they may be on the cusp of shifting into another state, losing iconic organisms like mussels and sea stars, and becoming dominated by seaweeds. These changes might be comparable to losing trees and large predators from terrestrial systems. This study would result in the training of undergraduates and graduate students, including individuals from under-represented groups. Additionally, this study would include outreach to the general public.
The researchers will focus particularly on impacts of increasing and more variable warming on community recovery. For example, climate oscillations (e.g., El Niño), coastal upwelling, and particularly temperature have all changed in recent decades in ways leading to increased stress on intertidal biota. In apparent response, coastal ecosystems evidently have become less productive, organismal performance (growth, reproduction) has declined, and key dynamical processes (species interactions) have weakened. The new research will pursue these strong hints of an impending “tipping point” by (1) continuing the projects that led to the insights of increasing instability, (2) adding new projects that will pinpoint ecological changes, and (3) expanding the region of work to include locations in California. Research will assess whether or not sea stars recover from wasting disease, experimentally test if species interactions are indeed weakening, quantify the annual inputs of new prey and changes in abundance, diversity, stability, and resilience of intertidal communities, and document changes in the physical environment. Using field observations and experiments, the research will provide insight into impacts of environmental change, particularly warming, on the future of coastal ecosystems, and more generally, into possible future states of Earth’s ecosystems. Using these data, we will test the hypothesis that direct and indirect effects of climate change are driving, or may drive these systems into new, alternative states.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.