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Add-On Studies

Background. In addition to being a distributed experiment designed to address core questions, NutNet also can serve as globally distributed infrastructure for additional studies that generate new response variable data from many sites. Designed well, such new ‘add-on’ data campaigns can leverage the NutNet experimental infrastructure via collaboration by each site-PI to advance knowledge across the discipline. Add-on data collection is not required for any site; each add-on provides an optional opportunity
to contribute (data and intellectually) to additional questions and analyses. This add-on approach has been incredibly productive – investigators have led add on studies of long-term decomposition, soil and foliar microbiomes, herbivory and infection, arthropod diversity/biomass/functional groups, root biomass, and many more (see table below).


Philosophy and practice of add-ons. One of the central principles of NutNet is that although NutNet scientists are participating in maintaining the experimental treatments and generating the core data, everyone is busy, and everyone is low on funds.


Add-ons are done on the premise that any work you ask others to do:

  • will turn into new knowledge and at least one publication;
  • will provide opportunities for intellectual engagement by those generating the new dataset (manuscripts will follow the opt-in process for those contributing add-on data – in a sense, intellectual engagement opportunities are traded for time and effort to help generate the dataset);
  • will not have a long-term impact on the experimental plots;
  • will not have a heavy burden of time or effort for collaborators/data contributors – the proposing lab will fund the work (other than field collection) – including materials, permits, shipping, sample processing, etc.
  • will be shared and stored as data within the central NutNet database;

The most successful add-ons are hypothesis-driven, involve minimal work for site investigators, and generate exciting and unique data that will be broadly used for analyses beyond the initial publications. Add-ons generally are inclusive and open to the
whole network, because the strength of NutNet is in the replication across globally relevant gradients. That said, some add-ons may only be appropriate to specific regions or a subset of sites (e.g., study using a specific focal species).

Proposing an add-on study. All add-ons must be proposed and approved prior to communicating with the network. We have a lot of experience in helping to make these successful in an international network – please talk to us at HQ before proposing
an add-on study.

To propose an add-on, create a short document with the following components:

  • Hypotheses/abstract. Write a clear background, hypotheses, questions, and/or a mock abstract (or more than one) so potential contributors can assess the cost-benefit tradeoffs for their scientific interests and site constraints as they decide whether their site will contribute.
  • Proposed research plan. Describe the new data type and how it will be measured; include potential short- and long-term impacts to the experimental plots. Protocols should be pilot tested prior to submitting add-on proposal.
  • Individual site costs. Describe site costs and required effort as well as costs that will be paid by the proposing investigator.
  • Products. Briefly describe projected end products (datasets and manuscripts).

In the review and approval process, we will consider:

  • feasibility (time, costs – don’t forget shipping both directions, if necessary)
  • clarity of protocols and expertise level required for contributing sites
  • potential short- and long-term impacts to the experimental plots
  • likelihood to generate exciting, usable data
  • results of your pilot test of the protocols, including honest time estimates
  • plans for ensuring consistency among sites
  • opportunities to join forces with others in the network proposing related work (e.g., soil microbial biomass, root biomass, microbial metagenomics, and soil chemistry could all come from the same soil cores, but be led and funded by different labs)

 

List of NutNet Add-on Studies

Theme New data type PI

Publications

Abiotic Wet N Deposition

Laurie Biderman

Stan Harpole

 

Belowground

[belowground set 1, NutNet all soils]

NutNet soil CN, micronutrient, and texture

Anita Krause

Eric Seabloom

Elizabeth Borer

Many

Belowground

[NutNet all soils]

C:N in SOM, MAOM, & POM, and proportion C & N in MAOM

Katie Rocci

Francesca Cotrufo

Rocci et al. 2022
Belowground Oak litter bag decomposition Sarah Hobbie Gill et al 2022
Belowground Soil nutrients from resin bags Stan Harpole  

Belowground, traits

[belowground set 1]

Root biomass Elsa Cleland Cleland et al 2019

Belowground, microbes

[belowground set 1]

Endophyte colonization of roots Jeremiah Henning Lekberg et al 2020

Belowground, microbes

[belowground set 1]

Soil microbial community Noah Fierer Prober et al 2015; Leff et al 2015
Belowground soil organic matter, microbial carbon use efficiency, microbial oxidative enzyme activity, microbial biomass Charlotte Riggs Riggs and Hobbie 2016; Riggs et al 2015

Belowground

[mineralization]

N mineralization Anita Risch Risch et al 2020

Belowground

[mineralization]

soil microbes and animals Nico Eisenhauer  

Belowground

[mineralization]

Root C, N

Ciska Veen

Judith Sitters

 
Belowground Tea bag litter decomposition Raul Ochoa-Hueso Ochoa-Hueso et al 2020
Belowground soil organic matter, extracellular enzyme, root mass, root turnover

Sarah Hobbie

Kirsten Hofmockel

Melanie Mayes

Keller et al 2022;
Belowground volumetric soil water content, root water uptake

Sven Westermann

Stan Harpole

Anke Hildebrandt

 

Belowground

[belowground set 2]

Soil organic matter priming and microbial substrate use Anita Risch  

Belowground

[belowground set 2]

CN and micronutrient measurements, soil, AG mass & root chemistry

Anita Krause

Eric Seabloom

Elizabeth Borer

 

Belowground, microbes

[belowground set 2]

PFLA, geochip, BioLog, root biomass

Joe Zhou

Jailiang Kuang

 

Belowground, microbes

[belowground set 2]

roots endophyte colonization Jeremiah Henning  
Belowground, trophic soil disturbance using ground penetrating radar, nutrient availability, water infiltration capacity; seed predation cafeteria survey

Mia Jessen

Anne Ebeling

Stan Harpole

Christiane Roscher

 
Microbes, traits Andropogon leaf fungal and bacterial microbiome

Anita Krause

Eric Seabloom

Elizabeth Borer

Seabloom et al 2019; Lumibao et al 2019; Henning et al 2020
Microbes, traits Site-level dominant grass: leaf fungal and bacterial microbiome

Anita Krause

Eric Seabloom

Elizabeth Borer

Seabloom et al in revision
Microbes, traits Andropogon & Bromus leaf fungal and bacterial microbiome

Anita Krause

Eric Seabloom

Elizabeth Borer

 

Microbes

[belowground set 3]

Soil, plant, & microbial chemistry, water content and water holding capacity, enzyme activity, microbial traits, microbial 16S & ITS

Richard Bardgett

Chris Taylor

Ainara Leizeaga

 

Microbes

[belowground set 3]

AMF community composition Ylva Lekberg  
Plant community Woody biomass and density

Eric Seabloom

Elizabeth Borer

 
Plant community Seedbank germination

Lauren Sullivan

Anu Eskelinen

 
Plant community Species area curve, richness at multiple scale in plot

Eric Seabloom

Jon Chase

Seabloom et al 2021
Plant community, trophic Movable exclosures, ANPP Anu Eskelinen  
Plant community Repeated cover sampling Adam Clark  
Pollinators, trophic flower abundance & richness, flower visitation rat, insect abundance & richness, fruit set

Luisa Carvalhiero

Juan Cancella

 
Pollinators, trophic Plant communities for pollinators Rebecca Nelson  
Traits Leaf traits, chemistry Jennifer Firn Firn et al 2019
Traits Seed traits Lauren Sullivan  
Traits aboveground plant C, N, P, K Michael Anderson Anderson et al 2018
Traits symbiotic N-fixation, d15N

Per Schleuss

Marie Spohn

Vazquez et al 2022

Vazquez et al 2023

Traits Maximum height of all plants

Riley Gridzak

Brandon Schamp

 

Traits

[plant pairs]

leaf area, gas exchange, leaf CN & isotope

Nick Smith

Monika Kelly

 

Traits

[plant pairs]

plant genome size Erika Hersch-Green  
Trophic seed removal by granivores John Orrock Orrock et al 2014
Trophic insect abundance and biomass sorted to order

Lizzie Wolkowitz

Adam Kay

Elizabeth Borer

Lind et al 2017
Trophic insect abundances sorted to family; leaf damage Kim Komatsu La Pierre and Smith 2016
Trophic leaf herbivore and fungal damage

Anne Ebeling

Dana Blumenthal

Ebeling et al 2021