Automated Author ProfileZarnetske, Phoebe
Zarnetske, Phoebe
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 14.0 (sum of 16 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Although climate intervention aims to lower the global average temperature, the potential impact of Stratospheric Aerosol Injection on marine heatwaves (MHW) has not been thoroughly examined. This dataset provides MHW metrics—such as frequency, maximum intensity, and duration—from the Community Earth System Model, version 2 (CESM2), using the baseline scenario SSP2-4.5, referred to as a no climate intervention scenario, and the ARISE-SAI ensemble. The ARISE-SAI model uses the SSP2-4.5 scenario, introducing stratospheric aerosol injection at approximately 21 km in 2035, aiming to keep global mean surface air temperature near 1.5°C for ARISE-SAI-1.5 and near 1.0°C for ARISE-SAI-1.0 above pre-industrial levels. The dataset includes global MHW properties for the historical period (1990-2009), the current period under SSP2-4.5 emission scenario (2015-2034), and future scenarios under SSP2-4.5, ARISE-SAI-1.5, and ARISE-SAI-1.5 for 2050-2059 and 2060-2069.
Authors
- Kounta, Lala ;
- Zarnetske, Phoebe ;
- Luo, Lifeng
To standardize NEON organismal data for major taxonomic groups, we first systematically reviewed NEON’s documentations for each taxonomic group. We then discussed as a group and with NEON staff to decide how to wrangle and standardize NEON organismal data. See Li et al. 2022 for more details. All R code to process NEON data products can be obtained through the R package ‘ecocomDP’. Once the data are in ecocomDP format, we further processed them to convert them into long data frames with code on Github (https://github.com/daijiang/neonDivData/tree/master/data-raw), which is also archived here.
Authors
- Li, Daijiang ;
- Record, Sydne ;
- Sokol, Eric ;
- Bitters, Matthew ;
- Chen, Melissa ;
- Chung, Anny ;
- Helmus, Matthew ;
- Jaimes, Ruvi ;
- Jansen, Lara ;
- Jarzyna, Marta ;
- Just, Michael ;
- LaMontagne, Jalene ;
- Melbourne, Brett ;
- Moss, Wynne ;
- Norman, Kari ;
- Parker, Stephanie ;
- Robinson, Natalie ;
- Seyednasrollah, Bijan ;
- Spaulding, Sarah ;
- Surasinghe, Thilina ;
- Thomsen, Sarah ;
- Zarnetske, Phoebe
Organismal data include the following taxonomic groups: small mammals, fish, ground beetles, and aquatic macroinvertebrates. Data were retrieved from the National Ecological Observatory Network (NEON) database in November 2020. We submit both raw data retrieved from NEON as .rds files, R code used to process these data, as well as processed data as .csv files.
Authors
- Jarzyna, Marta A ;
- Norman, Kari EA ;
- LaMontagne, Jalene M ;
- Helmus, Matthew R ;
- Li, Daijiang ;
- Parker, Stephanie M ;
- Perez Rocha, Mariana ;
- Record, Sydne ;
- Sokol, Eric R ;
- Zarnetske, Phoebe ;
- Surasinghe, Thilina D
The associated data files and R script are all that is required to reproduce the analyses in the manuscript "A thermal gradient of trait similarity across North America," published in Ecography: https://onlinelibrary.wiley.com/doi/10.1111/ecog.03641
The following .csv files contain data required to reproduce the analysis, with raw unprocessed small mammal data from NEON, small mammal data that has been put through our QC code, mammal trait data compiled from different sources, and site-level environmental covariates: raw_NEON_mammal_data.csv, final_NEON_mammal_data.csv, mammal_traits.csv, site_covariates.csv
The following .csv files contain metadata describing the corresponding data file: final_NEON_mammal_data_meta.csv, mammal_traits_meta.csv, site_covariates_meta.csv. Each file lists the data sources. Please see documentation at neonscience.org for more information on the NEON small mammal trapping data.
The following .R file is an R script, tested under R/3.3.3, that contains code to reproduce the analyses in the manuscript: code_supplement.R
Below is the abstract:Temperature is widely regarded as a major driver of species richness, but the mechanisms are debated. Niche theory suggests temperature may affect richness by filtering traits and species in colder habitats while promoting specialization in warmer ones. However, tests of this theory are rare because niche dimensions are challenging to quantify along broad thermal gradients. Here, we use individual-level trait data from a long-term monitoring network spanning a large geographic extent to test niche-based theory of community assembly in small mammals. We examined variation in body size among 23 communities of North American rodents sampled across the National Ecological Observatory Network (NEON), ranging from northern hardwood forests to subtropical deserts. We quantified body size similarity among species using a metric of overlap that accounts for individual variation, and fit a structural equation model to disentangle the relationships between temperature, productivity, body size overlap, and species richness. We document a latitudinal gradient of declining similarity in body size among species towards the tropics and overall increase in the dimensions of community-wide trait space in warmer habitats. Neither environmental temperature nor net primary productivity directly affect rodent species richness. Instead, temperature determines the community-wide niche space that species can occupy, which in turn alters richness. We suggest a latitudinal gradient of trait space expansion towards the tropics may be widespread and underlie gradients in species diversity.
Authors
- Read, Quentin ;
- Grady, John ;
- Zarnetske, Phoebe ;
- Sydne Record ;
- Baiser, Benjamin ;
- Belmaker, Jonathan ;
- Mao-Ning Tuanmu ;
- Strecker, Angela ;
- Beaudrot, Lydia ;
- Thibault, Katherine
The associated data files and R script are all that is required to reproduce the analyses in the manuscript "A thermal gradient of trait similarity across North America," published in Ecography: https://onlinelibrary.wiley.com/doi/10.1111/ecog.03641
The following .csv files contain data required to reproduce the analysis, with raw unprocessed small mammal data from NEON, small mammal data that has been put through our QC code, mammal trait data compiled from different sources, and site-level environmental covariates: raw_NEON_mammal_data.csv, final_NEON_mammal_data.csv, mammal_traits.csv, site_covariates.csv
The following .csv files contain metadata describing the corresponding data file: final_NEON_mammal_data_meta.csv, mammal_traits_meta.csv, site_covariates_meta.csv. Each file lists the data sources. Please see documentation at neonscience.org for more information on the NEON small mammal trapping data.
The following .R file is an R script, tested under R/3.3.3, that contains code to reproduce the analyses in the manuscript: code_supplement.R
Below is the abstract:Temperature is widely regarded as a major driver of species richness, but the mechanisms are debated. Niche theory suggests temperature may affect richness by filtering traits and species in colder habitats while promoting specialization in warmer ones. However, tests of this theory are rare because niche dimensions are challenging to quantify along broad thermal gradients. Here, we use individual-level trait data from a long-term monitoring network spanning a large geographic extent to test niche-based theory of community assembly in small mammals. We examined variation in body size among 23 communities of North American rodents sampled across the National Ecological Observatory Network (NEON), ranging from northern hardwood forests to subtropical deserts. We quantified body size similarity among species using a metric of overlap that accounts for individual variation, and fit a structural equation model to disentangle the relationships between temperature, productivity, body size overlap, and species richness. We document a latitudinal gradient of declining similarity in body size among species towards the tropics and overall increase in the dimensions of community-wide trait space in warmer habitats. Neither environmental temperature nor net primary productivity directly affect rodent species richness. Instead, temperature determines the community-wide niche space that species can occupy, which in turn alters richness. We suggest a latitudinal gradient of trait space expansion towards the tropics may be widespread and underlie gradients in species diversity.
Authors
- Read, Quentin ;
- Grady, John ;
- Zarnetske, Phoebe ;
- Sydne Record ;
- Baiser, Benjamin ;
- Belmaker, Jonathan ;
- Mao-Ning Tuanmu ;
- Strecker, Angela ;
- Beaudrot, Lydia ;
- Thibault, Katherine
No description available
Authors
- Read, Quentin ;
- Baiser, Benjamin ;
- Grady, John ;
- Zarnetske, Phoebe ;
- Record, Sydne ;
- Belmaker, Jonathan
No description available
Authors
- Read, Quentin ;
- Baiser, Benjamin ;
- Grady, John ;
- Zarnetske, Phoebe ;
- Record, Sydne ;
- Belmaker, Jonathan
No description available
Authors
- Read, Quentin ;
- Baiser, Benjamin ;
- Grady, John ;
- Zarnetske, Phoebe ;
- Record, Sydne ;
- Belmaker, Jonathan
No description available
Authors
- Read, Quentin ;
- Baiser, Benjamin ;
- Grady, John ;
- Zarnetske, Phoebe ;
- Record, Sydne ;
- Belmaker, Jonathan