Contributors | Affiliation | Role |
---|---|---|
Duffy, J. Emmett | Virginia Institute of Marine Science (VIMS) | Principal Investigator |
Reynolds, Pamela L | University of California-Davis (UC Davis) | Scientist, Contact |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Methodology is available from: J. Emmett Duffy, et al. Biodiversity mediates top-down control in eelgrass ecosystems: A global comparative-experimental approach. Ecology Letters 18:7 (696–705). DOI: 10.1111/ele.12448.
Table S1. Codes and locations of sites
Code | Site | Latitude | Longitude | Principal Investigator |
AK | Kachemak Bay, Alaska, USA | 59.648 | -151.436 | Iken |
BB | Bodega Bay, California, USA | 38.317 | -123.033 | Stachowicz |
BC | Vancouver, British Columbia, Canada | 49.000 | -123.100 | O'Connor |
FI | Ängsö Island, Finland | 60.100 | 21.700 | Boström |
JN | Akkeshi-Ko Estuary, Hokkaido, Japan | 43.060 | 144.911 | Nakaoka |
JS | Akiwan Bay, Hiroshima, Japan | 34.178 | 132.550 | Hori |
MA | Nahant, Massachusetts, USA | 42.426 | -70.919 | Douglass |
NC | Beaufort, North Carolina, USA | 34.683 | -76.600 | Reynolds, Sotka |
NN | Misvaerfjord, Bodø, Norway | 67.233 | 15.200 | Olsen, Eriksson, Horeau |
PO | Ria Formosa Lagoon, Portugal | 36.997 | -7.829 | Engelen |
QU | Pointe-Lebel, Quebec, Canada | 49.113 | 68.179 | Cusson |
SD | San Diego Bay, CA, USA | 32.714 | -117.226 | Hovel |
SW | Gullmar Fjord, Sweden | 58.314 | 11.548 | Moksnes/Fredriksen |
VA | Goodwin Islands, Gloucester Point, Virginia | 37.217 | -76.383 | Duffy/Reynolds |
WA | Willapa Bay, Washington, USA | 46.500 | -124.000 | Ruesink |
Data have been QA/QC’d for accuracy. Irrelevant/incorrect values have been removed.
BCO-DMO Processing:
- added conventional header with dataset name, PI name, version date, reference information
- renamed some parameters to BCO-DMO standard
- reformatted date from m/d/y to yyyy-mm-dd
- reduced digits to right of decimal
File |
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ZEN.csv (Comma Separated Values (.csv), 60.98 KB) MD5:d265e6306a20a1fc0c6477b44bfdf467 Primary data file for dataset ID 659737 |
Parameter | Description | Units |
site_code | Code: VA (Virginia); NC (North Carolina); MA (Massachusettes); QU (Quebec); AK (Alaska); BC (British Columbia);WA (Washington); BB (Bodega Bay); SD (San Diego); JN (Northern Japan); JS (Southern Japan); NN (Norway); SW (Sweden);FI (Finland); PO (Portugal) | unitless |
plot | unique plot number within a site | unitless |
unique_plot_id | unique idenitifier; concatenated from site code and plot number | unitless |
treatment | D refers to deterrent; N refers to nutrient addition; and +/- refer to presence or absence; respectively. | unitless |
grazer_bmass_per_g | Total biomass of all mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
crustacean_bmass_per_g | Total biomass of all crustacean mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
gammarid_bmass_per_g | Total biomass of all gammaridean mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
caprellid_bmass_per_g | Total biomass of all caprellid mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
isopod_bmass_per_g | Total biomass of all isopod mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
decapod_bmass_per_g | Total biomass of all decapod mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
gastropod_bmass_per_g | Total biomass of all gastropod mesograzers sampled from the plot; estimatred using Edgar's (1990) size-class equations | grams |
grazer_richness_plot | Total number of mesograzer taxa (usually species) recorded from the plot | taxa |
chla_per_Zostera | Algal chlorophyll-a attached to eelgrass blades; expressed as micrograms chl a per g eelgrass blade tissue | micrograms chl a per g (ug/g) |
latitude | Latitude in decimal degrees | decimal degrees |
longitude | Longitude in decimal degrees | decimal degrees |
temp_avg | Water temperature in degrees Celsius; mean of measurements made during the experiment | degrees Celsius |
sal | Salinity in parts per thousand | PPT |
N_mean_pcent | Elemental nitrogen as % of eelgrass dry mass | unitless |
genotype_richness_standardized | Total number of eelgrass multilocus genotypes recorded from the site; divided by the maximum number recorded from any site (thus; scale = 0 - 1) | unitless |
grazer_richness_site | Total number of mesograzer taxa (usually species) recorded from all 40 plots at the site | taxa |
ocean | Atlantic (including Baltic Sea); Pacific | unitless |
Dataset-specific Instrument Name | |
Generic Instrument Name | Automated DNA Sequencer |
Generic Instrument Description | General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step. |
Dataset-specific Instrument Name | |
Generic Instrument Name | CHN Elemental Analyzer |
Generic Instrument Description | A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Refractometer |
Dataset-specific Description | Used to measure salinity |
Generic Instrument Description | A refractometer is a laboratory or field device for the measurement of an index of refraction (refractometry). The index of refraction is calculated from Snell's law and can be calculated from the composition of the material using the Gladstone-Dale relation.
In optics the refractive index (or index of refraction) n of a substance (optical medium) is a dimensionless number that describes how light, or any other radiation, propagates through that medium. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Temperature Logger |
Dataset-specific Description | HOBO Pendant temperature loggers |
Generic Instrument Description | Records temperature data over a period of time. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Thermal Cycler |
Generic Instrument Description | A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics.
(adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html) |
Website | |
Platform | eelgrass_beds_global |
Start Date | 2011-06-01 |
End Date | 2011-08-31 |
Description | eelgrass community studies |
NSF Project Title:
"Biodiversity and Complex Forcing of Ecosystem Functioning in the Marine Foundation Species, Eelgrass: A Global Experimental Network"
Description from NSF award abstract:
This project will develop a global collaborative network of field experiments to quantify how resources and grazing interactively affect biomass, production, and trophic transfer along natural gradients in biodiversity and abiotic forcing. It focuses on a key mutualism between invertebrate mesograzers and the globally distributed eelgrass (Zostera marina), as a model system and as the foundation of important but threatened coastal ecosystems worldwide. This interaction provided a model for influential experiments linking biodiversity to functioning (BEF) of multitrophic ecosystems. Yet, seagrass ecology has historically focused almost exclusively on bottom-up forcing, and impacts of these ubiquitous animals in the field are nearly unknown.The research program will address three questions:
(1) What role do crustacean mesograzers, the benthic equivalents of grazing copepods, play in regulating vegetated coastal ecosystem functioning and buffering effects of eutrophication?
(2) Are generalizations derived from 15 years of BEF experiments consistent with variation in ecosystem properties along natural diversity gradients in complex, open marine systems?
(3) Do relative influences and interactions of resource supply, grazing pressure, and biodiversity on ecological processes vary systematically with climate and abiotic environmental drivers?
Methods will include two novel approaches. First, a new technique that excludes crustacean mesograzers without cage artifacts will rigorously test their long-suspected role in fostering macrophyte dominance. The project assembles experienced collaborators who will conduct identical factorial experiments manipulating grazers and nutrient loading at each of 12 sites spanning the sub-global range of eelgrass, across concomitant gradients in diversity and abiotic forcing variables. Second, Structural Equation Models (SEM), designed specifically to quantify relative importance and interactions among variables in complex systems, will tease apart effects of resource supply, grazer biomass, species composition, and richness, and several abiotic variables on eelgrass and algal biomass, production, and trophic transfer. Small-scale experiments with synthesized communities show that biodiversity generally enhances production and resource use in a range of ecosystems, but the importance of diversity relative to other well-documented forcing factors remains poorly understood. Intriguingly, BEF relationships in the few studies from wild ecosystems often saturate at much higher richness than in experiments, suggesting that prior work may underestimate rather than overestimate functional effects of diversity. Yet few large-scale data sets are available to evaluate this conjecture. This research will do so on a global scale in eelgrass beds, one of the few community types in which such a test is possible.
This project will initiate a lasting, and open, collaborative network of researchers studying the functioning of multitrophic marine vegetation ecosystems. It leverages a wealth of globally distributed collaborator expertise, person power, and experience with multinational partnerships including a new network of marine plant-herbivore ecologists funded by the Australian Research Council; the Census of Marine Life's NaGISA project; and key partners in MarBEF's BIOFUSE project. It will thus catalyze integration of several formerly independent research efforts.
Data:
Data are expected to be submitted in 2014. Data will include plant and animal responses to top-down and bottom-up manipulations in eelgrass (Zostera marina) habitat from 16 sites across the northern hemisphere (in Japan, USA, Canada, Norway, Sweden, Finland, and Portugal).
Publications produced as a result of this research:
Poore AGB, Campbell AH, Coleman RA, Edgar GJ, Jormalainen V, Reynolds PL, Sotka EE, Stachowicz JJ, Taylor RB, Vanderklift MA, Duffy JE. 2012. Global patterns in the impact of marine herbivores on benthic primary producers. Ecology Letters. DOI: 10.1111/j.1461-0248.2012.01804.x
Naeem S, Duffy JE, Zavaleta E. 2012. The Functions of Biological Diversity in an Age of Extinction. Science, v.336, p. 1401. DOI: 10.1126/science.1215855
Cardinale BJ, Duffy JE, Gonzalez A, Hooper DU, Perrings C, Venail P, Narwani A, Mace GM, Tilman D, Wardle DA, Kinzig AP, Daily GC, Loreau M, Grace JB, Larigauderie A, Srivastava D, Naeem S. 2012. Biodiversity loss and its impact on humanity. Nature, v.486, 2012, p. 59. DOI: 10.1038/nature11148
Hooper DU, Adair EC, Cardinale BJ, Byrnes JEK, Hungate BA, Matulich KL, Gonzalez A, Duffy JE, Gamfeldt L, O'Connor MI. 2012. A global synthesis reveals biodiversity loss as a major driver of ecosystem change. Nature, v.486, p. 10. DOI: 10.1038/nature11118
Additional publications produced as a result of this research:
Duffy, J. E., P. L. Reynolds, C. Boström, J. A. Coyer, M. Cusson, S. Donadi, J. G. Douglass, J. S. Eklöf, A. H. Engelen, B. K. Eriksson, S. Fredriksen, L. Gamfeldt, C. Gustafsson, G. Hoarau, M. Hori, K. Hovel, K. Iken, J. S. Lefcheck, P.-O. Moksnes, M. Nakaoka, M. I. O'Connor, J. L. Olsen, J. P. Richardson, J. L. Ruesink, E. E. Sotka, J. Thormar, M. A. Whalen, and J. J. Stachowicz. 2015. Biodiversity mediates top-down control in eelgrass ecosystems: a global comparative-experimental approach. Ecology Letters 18:696–705.
Reynolds, P. L., J. Paul Richardson, and J. Emmett Duffy. 2014. Field experimental evidence that grazers mediate transition between microalgal and seagrass dominance. LIMNOLOGY AND OCEANOGRAPHY 59:1053–1064.
Duffy, J. E., P.-O. Moksnes, and A. R. Hughes. 2013. Ecology of Seagrass Communities. Pages 271–297 in M. D. Bertness, J. F. Bruno, B. R. Silliman, and J. J. Stachowicz, editors. "Marine Community Ecology and Conservation". Sinauer Associates, Sunderland, Massachusetts.
Whalen, M. A., J. E. Duffy, and J. B. Grace. 2013. Temporal shifts in top-down versus bottom-up control of epiphytic algae in a seagrass ecosystem. Ecology 94:510–520.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |