{"title":"Grassland aboveground biomass, composition, and chemistry from multiple sites and years in Yellowstone National Park","authors":"Douglas A. Frank, Rick L. Wallen","doi":"10.1002/ecy.70198","DOIUrl":null,"url":null,"abstract":"<p>This data set includes measurements of aboveground plant biomass (in grams per square meter), percent alive and dead, composition (percent graminoid [grasses, sedges, rushes] and non-graminoid [other monocots, dicots]), and carbon and nitrogen content (in parts per million) of aboveground biomass collected during three studies (1988 and 1989; 1999–2001; 2012–2014) at grasslands grazed by herds of elk (<i>Cervus canadensis</i>), bison (<i>Bison bison</i>), and pronghorn (<i>Antilocapra americana</i>) in Yellowstone National Park. A total of 25 different grasslands were sampled during the studies. At each grassland, measurements were made outside and inside small (1.5 × 1.5 m) temporary exclosures moved approximately monthly throughout each growing season to determine ungulate consumption and aboveground production. Plant data were also gathered at a subsample of 13 of the grasslands inside permanent exclosures erected during the summer before each study. Monthly aboveground plant P content (in parts per million) is also provided at six sites in 2013 and 2014. Location (latitude, longitude), elevation, and 0 to 10 cm total soil C and N are included for all the sites. There are no copyright or proprietary restrictions on the data; please cite this data paper when using the data in other works.</p>","PeriodicalId":11484,"journal":{"name":"Ecology","volume":"106 9","pages":""},"PeriodicalIF":4.3000,"publicationDate":"2025-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://esajournals.onlinelibrary.wiley.com/doi/epdf/10.1002/ecy.70198","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology","FirstCategoryId":"93","ListUrlMain":"https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecy.70198","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This data set includes measurements of aboveground plant biomass (in grams per square meter), percent alive and dead, composition (percent graminoid [grasses, sedges, rushes] and non-graminoid [other monocots, dicots]), and carbon and nitrogen content (in parts per million) of aboveground biomass collected during three studies (1988 and 1989; 1999–2001; 2012–2014) at grasslands grazed by herds of elk (Cervus canadensis), bison (Bison bison), and pronghorn (Antilocapra americana) in Yellowstone National Park. A total of 25 different grasslands were sampled during the studies. At each grassland, measurements were made outside and inside small (1.5 × 1.5 m) temporary exclosures moved approximately monthly throughout each growing season to determine ungulate consumption and aboveground production. Plant data were also gathered at a subsample of 13 of the grasslands inside permanent exclosures erected during the summer before each study. Monthly aboveground plant P content (in parts per million) is also provided at six sites in 2013 and 2014. Location (latitude, longitude), elevation, and 0 to 10 cm total soil C and N are included for all the sites. There are no copyright or proprietary restrictions on the data; please cite this data paper when using the data in other works.
期刊介绍:
Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.