Species percent cover from species resilience and recovery experiments in the rocky intertidal zone of the Oregon Coast from 2011 to 2024

Website: https://www.bco-dmo.org/dataset/990951
Data Type: Other Field Results, experimental
Version: 1
Version Date: 2026-05-15

Project
» RAPID: Testing the rocky intertidal community consequences of the decimation of purple sea star populations along the Oregon coast by sea star wasting disease (Sea star wasting)
» Collaborative Research: Mechanisms of resistance and resilience to system-wide loss of a keystone predator in an iconic intertidal community (Keystone Species Loss)
» LTREB: Testing tipping points in a model rocky intertidal meta-ecosystem – Climate-change, increasing variances, and response mechanisms (LTREB Intertidal Tipping Points)

Programs
» Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO)
» Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO)
» Long Term Research in Environmental Biology (LTREB)
ContributorsAffiliationRole
Menge, Bruce A.Oregon State University (OSU)Principal Investigator
Gravem, SarahOregon State University (OSU)Co-Principal Investigator
York, Amber D.Woods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
This dataset contains percent cover of species identified from photographs during a species resilience and recovery experiment in the rocky intertidal zone of the Oregon Coast from 2011 to 2024. Experiment/Study abstract: Climate change threatens to destabilize ecological communities, potentially moving them from persistently occupied "basins of attraction" to different states. Increasing variation in key ecological processes can signal impending state shifts in ecosystems. In a rocky intertidal meta-ecosystem consisting of three distinct regions spread across 260 km of the Oregon coast, we measured % cover of sessile spaceholders over time (2011-2024) in undisturbed and annually cleared plots. We show that annually cleared plots are characterized by communities that exhibit signs of increasing destabilization (loss of resilience) over the past decade despite persistent community states. In all cases, recovery rates slowed and became more variable over time. The conditions underlying these shifts appear to be external to the system, with thermal disruptions (e.g., marine heat waves, El Niño–Southern Oscillation) and shifts in ocean currents (e.g., upwelling) being the likely proximate drivers. Although this iconic ecosystem has long appeared resistant to stress, the evidence suggests that subtle destabilization has occurred over at least the last decade.


Coverage

Location: Rocky Intertidal along the Oregon Coast. See site information in data.
Spatial Extent: N:44.83863831 E:-124.05875 S:42.717772 W:-124.56512
Temporal Extent: 2011-06-02 - 2024-07-23

Dataset Description

This time series was funded by the Long Term Research in Environmental Biology [LTREB] program including the LTREB project listed on this page (Award DEB-2050017) and prior awards (Award DEB-1050694,DEB-1554702).


Methods & Sampling

The purpose of this experiment is to test the recovery rates of rocky intertidal communities to single or repeated disturbance and thereby measure the succession and resilience of the community, respectively. We initiated the experiment series in the low zone in 2011 by haphazardly locating, then permanently marking five pairs of 0.5 x 0.5 m low intertidal plots. In spring/early summer each year from 2011- 2024, we photographed, then cleared one plot of each pair of all macrobiota, including macrophytes and sessile invertebrates ('removal plots'). Adjacent uncleared reference plots were left intact (controls). We also added succession plots in the early 2020s that were cleared once and allowed to recover (succession plots). Removals were allowed to recover without further intrusion for 12 mo, when they were photographed and recleared for the next year's observations.  Plot locations did not change. Mid and high experiments were added in the early 2020s as well to compare how recovery and resilience differed between intertidal zones. 

Percent cover of each species was estimated by inspecting photographs. The 0.5 x 0.5 m quadrats were subdivided into 0.1x0.1m subquadrats, each consisting of 4% cover. Abundances of each taxon were estimated by eye for each subquadrat, and totals were obtained by adding across all 25 subquadrats.  We grouped species into the following functional groups for analysis (see Supplemental Files for taxon ids and more category information).

Functional Groups:

small barnacles = Chthamalus dalli, Balanus glandula
large barnacles = Semibalanus cariosus, Balanus nubilus
gooseneck barnacles = Pollicipes polymerus
mussels = Mytilus californianus, Mytilus trossulus
anemones = Anthopleura xanthogrammica, A. elegantissima
articulated corallines = Corallina vancouveriensis, Bossiella plumosa
red blades = Mazzaella splendens, M. flaccida, M. parksii, Pyropia/Porphyra, Gymnogongrus, Halosaccion,
filamentous reds = Polysiphonia, Microcladia, Endocladia, Odonthalia floccosa, 
red turfs=  Cryptopleura, Hymenena, Constantinea, Dilsea, Erythrophyllum, Neorhodomela
kelp = Hedophyllum, Alaria, Laminaria, Egregia,
ulvoids = Ulva
worms = serpulids, spirorbids, "worms" at RP form colonies, may be amphipods.
surfgrass = Phyllospadix scouleri, P. torreyi
colonial sessile inverts = Halichondria at YB, hydrozoans (?) at YB 7-14-2022L3S
Notes:
Pisaster in plots counted as bare space
Gymnogongrus counted as red blades
when mid zone PE plots started, placed S plots in winter disturbances, assumed start date was 1/1/2021
went back and separated Chth from Bal gl only in final sample date

Data Processing Description

NA


BCO-DMO Processing Description

* Sheet 1 "PE_PhotoPlots_Matrix_2024-04-17" of submitted file "BCODMO_PE_PhotoPlots_Matrix_2025-06-23_SAG.xlsx" was imported into the BCO-DMO data system for this dataset. Values "NA" imported as missing data values.   Table will appear as Data File: 990951_v1_photoplot-species.csv (along with other download format options).
* Two unnamed columns in the table named "Comment1" and "Comment2"

* Sheet 2 "FunctionalGroups" and Sheet 4 "Notes" of "BCODMO_PE_PhotoPlots_Matrix_2025-06-23_SAG.xlsx" were added directly to the Methods & Sampling metadata section.

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 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]

* Date converted to ISO 8601 format

* Site list exported from supplied SiteList_STARS.xlsx(version from 2026-05-11) Sheet1 after changing date format to ISO 8601. Attached to dataset as sitelist_stars.csv. Sheet2 contained column information which was added to the sitelist_stars.csv file description after modifications to match the data table (description for column "state" added, column name "LoggerCode_OSU" is "OldLoggerCode_OSU" in data table).

* functional_group_scinames_and_ids.csv - Table of functional group name, column in dataset, and the SciNames included in the group were added as a supplemental file by parsing information provided Sheet 2 "FunctionalGroups" and Sheet 4 "Notes" of "BCODMO_PE_PhotoPlots_Matrix_2025-06-23_SAG.xlsx."
Taxon ids AphiaID and LSID were added from the World Register of Marine Species (lookup was on 2026-01-26).
functional_group_scinames_and_ids.csv was revised and resubmitted by the data contributors on 2026-05-08.

Notes on SciNames and matching for functional_group_scinames_and_ids.csv:

Alaria is an accepted taxon for two separate organisms. The usage in this dataset was matched to Alaria Greville, 1830 (urn:lsid:marinespecies.org:taxname:144194) that is a kelp not the Alaria that is a worm "Alaria esculenta (Linnaeus) Greville, 1830" urn:lsid:marinespecies.org:taxname:145716 (since this is in the kelp category).

Spelling corrected:
Corallina vancourveriensis
Corallina vancouveriensis (urn:lsid:marinespecies.org:taxname:494902)


[ table of contents | back to top ]

Data Files

File
990951_v1_photoplot-species.csv
(Comma Separated Values (.csv), 472.63 KB)
MD5:8e944e7dbe60cc2afec227210a2c823e
Primary data file for dataset ID 990951, version 1. This table includes the species cover matrix from survey photographs from the species resilience and recovery experiment (See Methods & Sampling).

[ table of contents | back to top ]

Supplemental Files

File
functional_group_scinames_and_ids.csv
(Comma Separated Values (.csv), 4.14 KB)
MD5:0385c5e5611975c9cb6db1c2b3c58ccb
Table of functional group name, column name as it appears in the main data table, scientific names and identifiers. Names matched to IDs using the World Register of Marine Species (lookup was on 2026-01-26).

Columns in table:

column_in_dataset, category name as it appears in the main data table 990951_v1_photoplot-species.csv
functional_group_name, functional group name as it appears in metadata description (See Methods & Sampling section)
ScientificName, Full unabbreviated scientific name (Genus species) of one of the species included in the functional group (there can be more than one per functional group category).
functional_group_comment, description of functional group (functional_group_name) included for cases when organisms in the group included cases where there wasn't a defined SciName.
AphiaID, Taxonomic identifier for ScientificName (AphiaID is the identifier at the World Register of Marine Species).
LSID, Life Science identifier (LSID)
sitelist_stars.csv
(Comma Separated Values (.csv), 4.90 KB)
MD5:258008f1bac6f545aee9a1fdce6790b6
Site List.

Column information (in csv format):

Column Name,Description,Units
SiteCode_STARS,Code used in all STARS datasets to designate site,unitless
Site,Name of STARS Site,unitless
SiteNum,Number of site north to south,unitless
Latitude,Latitude of site,decimal degrees
Longitude,Longitude of site,decimal degrees
SiteCode_OSU,Matching Site Codes for some datasets used by OSU,unitless
SiteCode_PISCO,Matching Site Codes for some datasets used by PISCO,unitless
SiteCode_MARINe,Matching Site Codes for some datasets used by MARINe,unitless
SiteType,"Site type for the STARS Project. Core = full suite of experiments. Ancillary = Surveys and environmental data only, None = not focal but may be in some datasets",unitless
Cape,"Cape, Point or Headland closest to site",unitless
CapeNum,Number of cape north to south,unitless
Region,"Regional Designation of Site. Oregon, Norcal, CenCal or SoCal",unitless
State,State of Site.,unitless
GroupCode,"Group that led work at that site. OSU, UCSC, Concordia or ODFW",unitless
OldLoggerCode_OSU,Site code used in older temperature logger data,unitless
Offset_MSLtoMLLW,The difference between 0 meters above mean sea level (MSL) and mean lower low water (MLLW) at that site,meters (m)
YearOfSSWS,The year that the sea star wasting disease outbreak began at that site. (yyyy),unitless
DateofSSWS,The date that the sea star wasting disease outbreak began at that site. See Gravem et al. 2021 IUCN report on Pycnopodia helianthoides for more. ISO 8601 date format.,unitless
MarineReserve,The nearest Oregon Marine Reserve to the Site,unitless
Designation,Whether the site is in an Oregon Marine Reserve or can serve as a comparison area,unitless

[ table of contents | back to top ]

Related Publications

Menge, B. A., Gravem, S. A., Johnson, A., Robinson, J. W., & Poirson, B. N. (2022). Increasing instability of a rocky intertidal meta-ecosystem. Proceedings of the National Academy of Sciences, 119(3). https://doi.org/10.1073/pnas.2114257119
Results

[ table of contents | back to top ]

Parameters

ParameterDescriptionUnits
PhotoID

Identifier for each photo showing SiteCode, Zone, Replicate, Treatment, and PhotoDate. E.g. BB_L_1_R_2011-06-02

unitless
PlotID

Identifier for each photo showing SiteCode, Zone, Replicate, Treatment. E.g. BB_L_1_R

unitless
Project

PE for PreEmption Project

unitless
State

State experiment performed. All Oregon

unitless
Region

Region experiment performed. All Oregon

unitless
Cape

Cape experiment performed (Foulweather, Perpetua, Blanco)

unitless
SiteCode_STARS

Abbreviated Site Code

unitless
Site

Site Name

unitless
Latitude

Latitude of Site

decimal degrees
Longitude

Longitude of Site

decimal degrees
Zone

Zone of Plot (High, Medium, Low)

unitless
Rep

Replicate. Each replicate has one of each treatment and is clustered in space (1 to 5).

unitless
Treat

Detailed treatment of the plot (C = Control, never cleared; S = Succession, cleared one time; R = Removal, plot cleared annually)

unitless
RepTreat

Combined Rep and Treat. E.g. 1_S or 3_C

unitless
PhotoDate

Date photo taken

unitless
Year

Year photo taken

unitless
Month

Month photo taken

unitless
Day

Day photo taken

unitless
Survey

Identifier for each survey showing SiteCode, Project, Date E.g. BB_PreEmption_2011-06-02

unitless
YearRemovalStart

Year clearance started. Usually clearances are in spring and plots are monitored until the following spring

unitless
YearRemovalEnd

Year clearance ended. Usually clearances are in spring and plots are monitored until the following spring

unitless
YearNumber

Sequetial year of project. Year 1 is 2011

unitless
YearRange

Years spanned from spring to spring

unitless
RemovalDate

Date clearance started. Usually clearances are in spring and plots are monitored until the following spring

unitless
DaysElapsed

Days since clearance started for the site (even if plot wasn't cleared).

days
Method

All data types are % cover

unitless
Bare_space

% cover of this species category

percent (%)
Mussels

% cover of this species category

percent (%)
Semibalanus

% cover of this species category

percent (%)
Balanus_glandula

% cover of this species category

percent (%)
Chthamalus

% cover of this species category

percent (%)
Gooseneck_barnacles

% cover of this species category

percent (%)
Anemones

% cover of this species category

percent (%)
Worms

% cover of this species category

percent (%)
Colonial_sessile_inverts

% cover of this species category

percent (%)
Coralline_crusts

% cover of this species category

percent (%)
Algal_crusts

% cover of this species category

percent (%)
Articulated_corallines

% cover of this species category

percent (%)
Red_blades

% cover of this species category

percent (%)
Red_filamentous

% cover of this species category

percent (%)
Red_turfs

% cover of this species category

percent (%)
Fucoids

% cover of this species category

percent (%)
Kelp

% cover of this species category

percent (%)
Surfgrass

% cover of this species category

percent (%)
Ulva

% cover of this species category

percent (%)
Other_green_algae

% cover of this species category

percent (%)
Diatoms

% cover of this species category

percent (%)
Total_cover

Summed % cover for plot. Usually equals 100 unless part of plot was not analyzed (glare, shadow, etc.)

percent (%)
Comment1

Comment 1

unitless
Comment2

Comment 2

unitless

[ table of contents | back to top ]

Project Information

RAPID: Testing the rocky intertidal community consequences of the decimation of purple sea star populations along the Oregon coast by sea star wasting disease (Sea star wasting)


Coverage: Oregon coast


This study will investigate the ecological consequences of the decimation of sea star populations by wasting disease along the Oregon coast. Hallmarks of wasting disease are the formation of sores on the sea star that progress to cause loss of arms, and ultimately death of the animal. Wasting disease was reported in sea star populations including those of the purple sea star, Pisaster ochraceus, in British Columbia, Washington, and California as early as April 2013. In Oregon, wasting was first observed in April 2014, and by June 2014 rates of infection ranged up to 80%, and sea star abundance had declined. At that rate, many populations may disappear by the end of summer 2014. Prior research has shown that in the absence of the purple sea star, mid-shore mussel populations increase, and ultimately overgrow the sea weeds and invertebrates that occur low on the shore, reducing biodiversity. However, because disease events of this magnitude have never occurred along the entire coastline, it is unclear if the small-scale expansion of mussels observed previously will be a general result of this event. One possibility is that predators unaffected by wasting, such as whelks and crabs, will increase their predation effects and blunt the expected invasion of mussels to the low shore. The research in this project will evaluate this possibility by testing the role of these alternative predators. Broader Impacts include the training of undergraduate and graduate students, the involvement of coastal residents and the production of microdocumentaries and video to document the changing context of this ecosystem.

The research project is designed to test three hypotheses. First, that in the absence of Pisaster ochraceus, predation by whelks will increase in strength through increases in whelk abundance and in whelk size, and at least partially compensate for the absence of Pisaster. Second, the small sea star Leptasterias spp. will also expand its role as a predator through increased size and abundance, and expansion of its habitat beyond mussel beds. Although individuals of this sea star have been observed to suffer from wasting as well, the frequency so far appears low, and it seems likely this species may persist. Third, the crab Cancer productus, normally mostly a subtidal species, will expand its range into the intertidal and help to compensate for the loss of Pisaster. Tests of these hypotheses will include manual removal experiments (whelk removal, Leptasterias removal, removal of both and of neither), cage exclusion experiments (whelk exclusions), cage inclusion-exclusion experiments (Leptasterias inclusion, Leptasterias exclusion). Experiments will be replicated with appropriate controls, and done at multiple sites on the central Oregon coast that vary naturally in population abundances, rates of prey and predator recruitment, and oceanographic conditions. Results obtained under this unprecedented set of circumstances will deepen and expand our empirical understanding of the dynamics of an iconic ecosystem, and will help parameterize community models.

Additional Project Information: Sea Star Wasting Map


Collaborative Research: Mechanisms of resistance and resilience to system-wide loss of a keystone predator in an iconic intertidal community (Keystone Species Loss)


Coverage: Temperate west coast of North America


This project is affiliated with the Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO) and Multi-Agency Rocky Intertidal Network (MARINe).

NSF abstract:

Diseases that compromise the health of predators can lead to large, abrupt and sometimes unexpected changes in the structure of ecosystems. This project will combine field surveys, manipulative experiments and mathematical models to both understand and predict the ecosystem-level effects of the unprecedented sea star wasting disease (SSWD) outbreak that devastated populations of Pisaster ochraceus, a critical predator, across the West Coast of the United States. Specifically, the project will determine (1) the ecological and environmental factors that promote vs. compromise the resilience of intertidal ecosystems to sea star wasting disease, (2) document the pace and extent of recovery from this major disturbance across the West Coast of the United States, and (3) identify hotspots of resilience to sea star wasting disease that may serve as important conservation targets to preserve these iconic ecosystems. The research will address important societal needs by cross-training undergraduate and graduate students in disease ecology, marine biology, mathematical modeling and biostatistics. Students from underrepresented groups will be recruited broadly from West Coast states. Each summer, four undergraduate students will be trained in rocky intertidal field research techniques. SSWD-focused modules will be developed and used in ecology courses at each institution to emphasize the importance of quantitative and interdisciplinary training for addressing important questions in biology. Graduate students will work with the Oregon Migrant Leadership Institute (OMLI) for migrant workers and their children to create workshops for students about SSWD. The PIs will continue interacting with the media and public groups, and will expand outreach activities through The Nature Conservancy and CoastWatch-sponsored workshops for high school teachers interested in involving students in sea star monitoring to ensure that the results of this project are disseminated beyond traditional academic circles. Finally, a series of model-based interactive web modules will be created as part of this project to illustrate the ecosystem-level effects of sea star wasting disease to the broader public. The studies on this model system will lead to a better understanding of how other ecosystems may resist or be vulnerable to human activities (e.g., fishing, hunting and habitat destruction) that asymmetrically influence top predators.

Diseases that threaten the health of predators can reduce their top-down influence and thus lead to significant changes in ecosystem structure. In 2013-15, sea star wasting disease (SSWD) devastated populations of Pisaster ochraceus, the original keystone predator, along the west coast of North America in one of the most extensive marine disease events ever recorded. This project will leverage this unprecedented outbreak to test and extend keystone predation theory by documenting and explaining the temporal pace, geographical extent, and spatiotemporal co-occurrence of ecosystem recovery from SSWD. The disease event also provides an opportunity to test the resistance and resilience of a well-studied ecosystem at an unprecedented scale. At each of 14 sites, the investigators will quantify processes that underlie potential resistance of the system to loss of sea stars (prey recruitment and colonization, mussel growth, predation intensity, facilitative interactions among sessile organisms, and the effect of alternative predators). In the latter experiments, the PIs will conduct caging exclusion experiments to test the effects of both larger (e.g., birds) and smaller (e.g., whelks) alternative predators on prey recolonization of cleared plots. The investigators will also conduct a novel set of experiments to manipulate factors affecting facilitation of mussels by barnacles and turf-forming algae. All these empirical studies will be used to parameterize modeling efforts that will explore the longer-term and larger-scale implications of these processes, both for this system and for other ecosystems. Specifically, the PIs will fit a novel spatially-explicit metacommunity model to the empirical data in order to determine the relative importance of intraspecific and interspecific resistance vs. resilience mechanisms for the recovery of intertidal ecosystems following a historical, coastal-scale SSWD disturbance.


LTREB: Testing tipping points in a model rocky intertidal meta-ecosystem – Climate-change, increasing variances, and response mechanisms (LTREB Intertidal Tipping Points)

Coverage: West coast of North America


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.



[ table of contents | back to top ]

Program Information

Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO)


Coverage: West coast of North America from Mexico to Alaska


The Partnership for Interdisciplinary Studies of Coastal Oceans is a long-term ecosystem research and monitoring program established with the goals of: 

  • understanding dynamics of the coastal ocean ecosystem along the U.S. west coast
  • sharing that knowledge so ocean managers and policy makers can make science based decisions regarding coastal and marine stewardship
  • producing a new generation of scientists trained in interdisciplinary collaborative approaches

Over the last 10 years, PISCO has successfully built a unique research program that combines complementary disciplines to answer critical environmental questions and inform management and policy. Activities are conducted at the latitudinal scale of the California Current Large Marine Ecosystem along the west coast of North America, but anchored around the dynamics of coastal, hardbottom habitats and the oceanography of the nearshore ocean – among the most productive and diverse components of this ecosystem. The program integrates studies of changes in the ocean environment through ecological monitoring and experiments. Scientists examine the causes and consequences of ecosystem changes over spatial scales that are the most relevant to marine species and management, but largely unstudied elsewhere.

Findings are linked to solutions through a growing portfolio of tools for policy and management decisions. The time from scientific discovery to policy change is greatly reduced by coordinated, efficient links between scientists and key decision makers.

Core elements of PISCO are:

  • Interdisciplinary ecosystem science
  • Data archiving and sharing
  • Outreach to public and decision-making user groups
  • Interdisciplinary training
  • Coordination of distributed research team

Established in 1999 with funding from The David and Lucile Packard Foundation, PISCO is led by scientists from core campuses Oregon State University (OSU); Stanford University’s Hopkins Marine Station; University of California, Santa Cruz (UCSC); and University of California, Santa Barbara (UCSB). Collaborators from other institutions also contribute to leadership and development of PISCO programs.  As of 2005, core PISCO activities are funded by collaborative grants from The David and Lucile Packard Foundation and the Gordon and Betty Moore Foundation. Core support, along with additional funding from diverse public and private sources, make this unique partnership possible.


Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO)


Coverage: West coast of North America from Mexico to Alaska


The Partnership for Interdisciplinary Studies of Coastal Oceans is a long-term ecosystem research and monitoring program established with the goals of: 

  • understanding dynamics of the coastal ocean ecosystem along the U.S. west coast
  • sharing that knowledge so ocean managers and policy makers can make science based decisions regarding coastal and marine stewardship
  • producing a new generation of scientists trained in interdisciplinary collaborative approaches

Over the last 10 years, PISCO has successfully built a unique research program that combines complementary disciplines to answer critical environmental questions and inform management and policy. Activities are conducted at the latitudinal scale of the California Current Large Marine Ecosystem along the west coast of North America, but anchored around the dynamics of coastal, hardbottom habitats and the oceanography of the nearshore ocean – among the most productive and diverse components of this ecosystem. The program integrates studies of changes in the ocean environment through ecological monitoring and experiments. Scientists examine the causes and consequences of ecosystem changes over spatial scales that are the most relevant to marine species and management, but largely unstudied elsewhere.

Findings are linked to solutions through a growing portfolio of tools for policy and management decisions. The time from scientific discovery to policy change is greatly reduced by coordinated, efficient links between scientists and key decision makers.

Core elements of PISCO are:

  • Interdisciplinary ecosystem science
  • Data archiving and sharing
  • Outreach to public and decision-making user groups
  • Interdisciplinary training
  • Coordination of distributed research team

Established in 1999 with funding from The David and Lucile Packard Foundation, PISCO is led by scientists from core campuses Oregon State University (OSU); Stanford University’s Hopkins Marine Station; University of California, Santa Cruz (UCSC); and University of California, Santa Barbara (UCSB). Collaborators from other institutions also contribute to leadership and development of PISCO programs.  As of 2005, core PISCO activities are funded by collaborative grants from The David and Lucile Packard Foundation and the Gordon and Betty Moore Foundation. Core support, along with additional funding from diverse public and private sources, make this unique partnership possible.


Long Term Research in Environmental Biology (LTREB)



Long Term Research in Environmental Biology (LTREB)

Supports research for a period of 10 years or longer to generate an extended time series of data with a focus on evolutionary biology, ecology and ecosystem science.

Synopsis
The Long Term Research in Environmental Biology (LTREB) Program supports the generation of extended time series of data to address important questions in evolutionary biology, ecology, and ecosystem science. Research areas include, but are not limited to, the effects of natural selection or other evolutionary processes on populations, communities, or ecosystems; the effects of interspecific interactions that vary over time and space; population or community dynamics for organisms that have extended life spans and long turnover times; feedbacks between ecological and evolutionary processes; pools of materials such as nutrients in soils that turn over at intermediate to longer time scales; and external forcing functions such as climatic cycles that operate over long return intervals.



[ table of contents | back to top ]

Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Ocean Sciences (NSF OCE)
NSF Division of Environmental Biology (NSF DEB)
NSF Division of Environmental Biology (NSF DEB)
NSF Division of Environmental Biology (NSF DEB)

[ table of contents | back to top ]