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Compositional variation in grassland plant communities

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Standard

Compositional variation in grassland plant communities. / Bakker, Jonathan D.; Price, Jodi N.; Henning, Jeremiah A. et al.

in: Ecosphere - An esa open access journal, Jahrgang 14, Nr. 6, e4542, 01.06.2023.

Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet

Harvard

Bakker, JD, Price, JN, Henning, JA, Batzer, E, Ohlert, T, Wainwright, CE, Adler, PB, Alberti, J, Arnillas, CA, Biederman, LA, Borer, ET, Brudvig, L, Buckley, YM, Bugalho, MN, Cadotte, MW, Da Conceição Caldeira, M, Catford, JA, Chen, Q, Crawley, MJ, Daleo, P, Dickman, CR, Donohue, I, DuPre, ME, Ebeling, A, Eisenhauer, N, Fay, PA, Gruner, DS, Haider, S, Hautier, Y, Jentsch, A, Kirkman, K, Knops, JMH, Lannes, LS, MacDougall, AS, McCulley, RL, Mitchell, RM, Moore, JL, Morgan, JW, Mortensen, B, Venterink, HO, Peri, PL, Power, SA, Prober, SM, Roscher, C, Sankaran, M, Seabloom, EW, Smith, MD, Stevens, C, Sullivan, LL, Tedder, MJ, Veen, GFC, Virtanen, R & Wardle, GM 2023, 'Compositional variation in grassland plant communities', Ecosphere - An esa open access journal, Jg. 14, Nr. 6, e4542. https://doi.org/10.1002/ecs2.4542

APA

Bakker, J. D., Price, J. N., Henning, J. A., Batzer, E., Ohlert, T., Wainwright, C. E., Adler, P. B., Alberti, J., Arnillas, C. A., Biederman, L. A., Borer, E. T., Brudvig, L., Buckley, Y. M., Bugalho, M. N., Cadotte, M. W., Da Conceição Caldeira, M., Catford, J. A., Chen, Q., Crawley, M. J., ... Wardle, G. M. (2023). Compositional variation in grassland plant communities. Ecosphere - An esa open access journal, 14(6), [e4542]. https://doi.org/10.1002/ecs2.4542

Vancouver

Bakker JD, Price JN, Henning JA, Batzer E, Ohlert T, Wainwright CE et al. Compositional variation in grassland plant communities. Ecosphere - An esa open access journal. 2023 Jun 1;14(6):e4542. doi: 10.1002/ecs2.4542

Bibtex

@article{c456c4877d884c5ab484fb14ee393308,
title = "Compositional variation in grassland plant communities",
abstract = "Human activities are altering ecological communities around the globe. Understanding the implications of these changes requires that we consider the composition of those communities. However, composition can be summarized by many metrics which in turn are influenced by different ecological processes. For example, incidence-based metrics strongly reflect species gains or losses, while abundance-based metrics are minimally affected by changes in the abundance of small or uncommon species. Furthermore, metrics might be correlated with different predictors. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on six continents. Each site had an identical experimental and sampling design: 24 plots × 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray–Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year [alpha] and per site [gamma]). Average compositional variation among all plot-years at a site was high and similar to spatial variation among plots in the pretreatment year, but lower among years in untreated plots. For both types of metrics, most variation was due to replacement rather than nestedness. Differences among sites in overall within-site compositional variation were related to several predictors. Environmental heterogeneity (expressed as the CV of total aboveground plant biomass in unfertilized plots of the site) was an important predictor for most metrics. Biomass production was a predictor of species turnover and of alpha diversity but not of other metrics. Continentality (measured as annual temperature range) was a strong predictor of Sorensen dissimilarity. Metrics of compositional variation are moderately correlated: knowing the magnitude of dissimilarity at a site provides little insight into whether the variation is driven by replacement processes. Overall, our understanding of compositional variation at a site is enhanced by considering multiple metrics simultaneously. Monitoring programs that explicitly incorporate these implications, both when designing sampling strategies and analyzing data, will have a stronger ability to understand the compositional variation of systems and to quantify the impacts of human activities.",
keywords = "Ecosystems Research, Bray-Curtis dissimilarity, fertilization, grassland, NutNet, plant community, Sorensen dissimilarity, spatial variation, species composition, temporal variation, turnover, vegetation",
author = "Bakker, {Jonathan D.} and Price, {Jodi N.} and Henning, {Jeremiah A.} and Evan Batzer and Timothy Ohlert and Wainwright, {Claire E.} and Adler, {Peter B.} and Juan Alberti and Arnillas, {Carlos Alberto} and Biederman, {Lori Ann} and Borer, {Elizabeth T.} and Lars Brudvig and Buckley, {Yvonne M.} and Bugalho, {Miguel Nuno} and Cadotte, {Marc W.} and {Da Concei{\c c}{\~a}o Caldeira}, Maria and Catford, {Jane A.} and Qingqing Chen and Crawley, {Michael J.} and Pedro Daleo and Dickman, {Chris R.} and Ian Donohue and DuPre, {Mary Ellyn} and Anne Ebeling and Nico Eisenhauer and Fay, {Philip A.} and Gruner, {Daniel S.} and Sylvia Haider and Yann Hautier and Anke Jentsch and Kevin Kirkman and Knops, {Johannes M.H.} and Lannes, {Luc{\'i}ola S.} and MacDougall, {Andrew S.} and McCulley, {Rebecca L.} and Mitchell, {Rachel M.} and Moore, {Joslin L.} and Morgan, {John W.} and Brent Mortensen and Venterink, {Harry Olde} and Peri, {Pablo Luis} and Power, {Sally A.} and Prober, {Suzanne Mary} and Christiane Roscher and Mahesh Sankaran and Seabloom, {Eric W.} and Smith, {Melinda D.} and Carly Stevens and Sullivan, {Lauren L.} and Tedder, {Michelle J.} and Veen, {G. F.Ciska} and Risto Virtanen and Wardle, {Glenda M.}",
year = "2023",
month = jun,
day = "1",
doi = "10.1002/ecs2.4542",
language = "English",
volume = "14",
journal = "Ecosphere - An esa open access journal",
issn = "2150-8925",
publisher = "Ecological Society of America",
number = "6",

}

RIS

TY - JOUR

T1 - Compositional variation in grassland plant communities

AU - Bakker, Jonathan D.

AU - Price, Jodi N.

AU - Henning, Jeremiah A.

AU - Batzer, Evan

AU - Ohlert, Timothy

AU - Wainwright, Claire E.

AU - Adler, Peter B.

AU - Alberti, Juan

AU - Arnillas, Carlos Alberto

AU - Biederman, Lori Ann

AU - Borer, Elizabeth T.

AU - Brudvig, Lars

AU - Buckley, Yvonne M.

AU - Bugalho, Miguel Nuno

AU - Cadotte, Marc W.

AU - Da Conceição Caldeira, Maria

AU - Catford, Jane A.

AU - Chen, Qingqing

AU - Crawley, Michael J.

AU - Daleo, Pedro

AU - Dickman, Chris R.

AU - Donohue, Ian

AU - DuPre, Mary Ellyn

AU - Ebeling, Anne

AU - Eisenhauer, Nico

AU - Fay, Philip A.

AU - Gruner, Daniel S.

AU - Haider, Sylvia

AU - Hautier, Yann

AU - Jentsch, Anke

AU - Kirkman, Kevin

AU - Knops, Johannes M.H.

AU - Lannes, Lucíola S.

AU - MacDougall, Andrew S.

AU - McCulley, Rebecca L.

AU - Mitchell, Rachel M.

AU - Moore, Joslin L.

AU - Morgan, John W.

AU - Mortensen, Brent

AU - Venterink, Harry Olde

AU - Peri, Pablo Luis

AU - Power, Sally A.

AU - Prober, Suzanne Mary

AU - Roscher, Christiane

AU - Sankaran, Mahesh

AU - Seabloom, Eric W.

AU - Smith, Melinda D.

AU - Stevens, Carly

AU - Sullivan, Lauren L.

AU - Tedder, Michelle J.

AU - Veen, G. F.Ciska

AU - Virtanen, Risto

AU - Wardle, Glenda M.

PY - 2023/6/1

Y1 - 2023/6/1

N2 - Human activities are altering ecological communities around the globe. Understanding the implications of these changes requires that we consider the composition of those communities. However, composition can be summarized by many metrics which in turn are influenced by different ecological processes. For example, incidence-based metrics strongly reflect species gains or losses, while abundance-based metrics are minimally affected by changes in the abundance of small or uncommon species. Furthermore, metrics might be correlated with different predictors. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on six continents. Each site had an identical experimental and sampling design: 24 plots × 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray–Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year [alpha] and per site [gamma]). Average compositional variation among all plot-years at a site was high and similar to spatial variation among plots in the pretreatment year, but lower among years in untreated plots. For both types of metrics, most variation was due to replacement rather than nestedness. Differences among sites in overall within-site compositional variation were related to several predictors. Environmental heterogeneity (expressed as the CV of total aboveground plant biomass in unfertilized plots of the site) was an important predictor for most metrics. Biomass production was a predictor of species turnover and of alpha diversity but not of other metrics. Continentality (measured as annual temperature range) was a strong predictor of Sorensen dissimilarity. Metrics of compositional variation are moderately correlated: knowing the magnitude of dissimilarity at a site provides little insight into whether the variation is driven by replacement processes. Overall, our understanding of compositional variation at a site is enhanced by considering multiple metrics simultaneously. Monitoring programs that explicitly incorporate these implications, both when designing sampling strategies and analyzing data, will have a stronger ability to understand the compositional variation of systems and to quantify the impacts of human activities.

AB - Human activities are altering ecological communities around the globe. Understanding the implications of these changes requires that we consider the composition of those communities. However, composition can be summarized by many metrics which in turn are influenced by different ecological processes. For example, incidence-based metrics strongly reflect species gains or losses, while abundance-based metrics are minimally affected by changes in the abundance of small or uncommon species. Furthermore, metrics might be correlated with different predictors. We used a globally distributed experiment to examine variation in species composition within 60 grasslands on six continents. Each site had an identical experimental and sampling design: 24 plots × 4 years. We expressed compositional variation within each site—not across sites—using abundance- and incidence-based metrics of the magnitude of dissimilarity (Bray–Curtis and Sorensen, respectively), abundance- and incidence-based measures of the relative importance of replacement (balanced variation and species turnover, respectively), and species richness at two scales (per plot-year [alpha] and per site [gamma]). Average compositional variation among all plot-years at a site was high and similar to spatial variation among plots in the pretreatment year, but lower among years in untreated plots. For both types of metrics, most variation was due to replacement rather than nestedness. Differences among sites in overall within-site compositional variation were related to several predictors. Environmental heterogeneity (expressed as the CV of total aboveground plant biomass in unfertilized plots of the site) was an important predictor for most metrics. Biomass production was a predictor of species turnover and of alpha diversity but not of other metrics. Continentality (measured as annual temperature range) was a strong predictor of Sorensen dissimilarity. Metrics of compositional variation are moderately correlated: knowing the magnitude of dissimilarity at a site provides little insight into whether the variation is driven by replacement processes. Overall, our understanding of compositional variation at a site is enhanced by considering multiple metrics simultaneously. Monitoring programs that explicitly incorporate these implications, both when designing sampling strategies and analyzing data, will have a stronger ability to understand the compositional variation of systems and to quantify the impacts of human activities.

KW - Ecosystems Research

KW - Bray-Curtis dissimilarity

KW - fertilization

KW - grassland

KW - NutNet

KW - plant community

KW - Sorensen dissimilarity

KW - spatial variation

KW - species composition

KW - temporal variation

KW - turnover

KW - vegetation

UR - https://www.mendeley.com/catalogue/8a61d678-3e34-31b8-a823-4f1d350783fe/

U2 - 10.1002/ecs2.4542

DO - 10.1002/ecs2.4542

M3 - Journal articles

VL - 14

JO - Ecosphere - An esa open access journal

JF - Ecosphere - An esa open access journal

SN - 2150-8925

IS - 6

M1 - e4542

ER -

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DOI