Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Meghan L, Avolio"'
Autor:
Kimberly J. Komatsu, Meghan L. Avolio, Josep Padullés Cubino, Franziska Schrodt, Harald Auge, Jeannine Cavender-Bares, Adam T. Clark, Habacuc Flores-Moreno, Emily Grman, W. Stanley Harpole, Jens Kattge, Kaitlin Kimmel, Sally E. Koerner, Lotte Korell, J. Adam Langley, Tamara Münkemüller, Timothy Ohlert, Renske E. Onstein, Christiane Roscher, Nadejda A. Soudzilovskaia, Benton N. Taylor, Leho Tedersoo, Rosalie S. Terry, Kevin Wilcox
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract In our changing world, understanding plant community responses to global change drivers is critical for predicting future ecosystem composition and function. Plant functional traits promise to be a key predictive tool for many ecosystems, in
Externí odkaz:
https://doaj.org/article/7eff2e457c2c4a1faaa2c5747881089b
Autor:
Meghan L. Avolio, Kimberly J. Komatsu, Sally E. Koerner, Emily Grman, Forest Isbell, David S. Johnson, Kevin R. Wilcox, Juha M. Alatalo, Andrew H. Baldwin, Carl Beierkuhnlein, Andrea J. Britton, Bryan L. Foster, Harry Harmens, Christel C. Kern, Wei Li, Jennie R. McLaren, Peter B. Reich, Lara Souza, Qiang Yu, Yunhai Zhang
Publikováno v:
Ecosphere, Vol 13, Iss 10, Pp n/a-n/a (2022)
Abstract Ecological communities are being impacted by global change worldwide. Experiments are a powerful tool to understand how global change will impact communities by comparing control and treatment replicates. Communities consist of multiple spec
Externí odkaz:
https://doaj.org/article/99890ef15fef41f5894fa74090038379
Publikováno v:
Ecosphere, Vol 13, Iss 4, Pp n/a-n/a (2022)
Abstract Across a city, tree communities are spatially heterogenous and vary by land use type. However, it remains unclear how urban tree communities change over time and whether rates of change depend on land use type. To address this knowledge gap,
Externí odkaz:
https://doaj.org/article/281921f1746d403fae2793c7806e7fca
Publikováno v:
Oecologia. 201:143-154
Autor:
William R. Burnside, Kathryn J. Fiorella, Meghan L. Avolio, Steven M. Alexander, Simone Pulver
Publikováno v:
Foundations of Socio-Environmental Research. :740-756
Autor:
Meghan L. Avolio, Ian T. Carroll, Scott L. Collins, Gregory R. Houseman, Lauren M. Hallett, Forest Isbell, Sally E. Koerner, Kimberly J. Komatsu, Melinda D. Smith, Kevin R. Wilcox
Publikováno v:
Ecosphere, Vol 10, Iss 10, Pp n/a-n/a (2019)
Abstract Univariate and multivariate methods are commonly used to explore the spatial and temporal dynamics of ecological communities, but each has limitations, including oversimplification or abstraction of communities. Rank abundance curves (RACs)
Externí odkaz:
https://doaj.org/article/3b9a9e2a34f249538c96d3fdfc9c7e5e
Autor:
Melinda D. Smith, Sally E. Koerner, Meghan L. Avolio, Kimberly J. Komatsu, Stephanie Eby, Elisabeth J. Forrestel, Scott L. Collins, Kevin R. Wilcox, Rodrigo Ahumada, John W. Morgan, Gabriel Oliva, Gastón R. Oñatibia, Gerhard E. Overbeck, Guadalupe Peter, Emiliano Quiroga, Mahesh Sankaran, Jianshuang Wu, Laura Yahdjian, Qiang Yu
Publikováno v:
Oecologia. 199:649-659
Autor:
Noortje H. Grijseels, Elizaveta Litvak, Meghan L. Avolio, Anika R. Bratt, Jeannine Cavender‐Bares, Peter M. Groffman, Sharon J. Hall, Sarah E. Hobbie, Susannah B. Lerman, Jennifer L. Morse, Desiree L. Narango, Christopher Neill, Jarlath O'Neil‐Dunne, Josep Padullés Cubino, Tara L.E. Trammell, Diane E. Pataki
Publikováno v:
Water Resources Research.
Publikováno v:
Trends in Ecology & Evolution. 36:1141-1152
Causal inferences from experimental data are often justified based on treatment randomization. However, inferring causality from data also requires complementary causal assumptions, which have been formalized by scholars of causality but not widely d
Autor:
Simone Pulver, William R. Burnside, Steven M. Alexander, Meghan L. Avolio, Kathryn J. Fiorella
Publikováno v:
Foundations of Socio-Environmental Research ISBN: 9781009177856
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b57f27ea4af05808bde6f7a90f0642cf
https://doi.org/10.1017/9781009177856.002
https://doi.org/10.1017/9781009177856.002