Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú

Research output: Contribution to journalJournal articleResearchpeer-review

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Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú. / Halbritter, Aud H.; Vandvik, Vigdis; Cotner, Sehoya H.; Farfan-Rios, William; Maitner, Brian S.; Michaletz, Sean T.; Oliveras Menor, Imma; Telford, Richard J.; Ccahuana, Adam; Cruz, Rudi; Sallo-Bravo, Jhonatan; Santos-Andrade, Paul Efren; Vilca-Bustamante, Lucely L.; Castorena, Matiss; Chacón-Labella, Julia; Christiansen, Casper Tai; Duran, Sandra M.; Egelkraut, Dagmar D.; Gya, Ragnhild; Haugum, Siri Vatsø; Seltzer, Lorah; Silman, Miles R.; Strydom, Tanya; Spiegel, Marcus P.; Barros, Agustina; Birkeli, Kristine; Boakye, Mickey; Chiappero, Fernanda; Chmurzynski, Adam; Garen, Josef C.; Gaudard, Joseph; Gauthier, Tasha Leigh J.; Geange, Sonya R.; Gonzales, Fiorella N.; Henn, Jonathan J.; Hošková, Kristýna; Isaksen, Anders; Jessup, Laura H.; Johnson, Will; Kusch, Erik; Lepley, Kai; Lift, Mackenzie; Martyn, Trace E.; Muñoz Mazon, Miguel; Middleton, Sara L.; Quinteros Casaverde, Natalia L.; Navarro, Jocelyn; Zepeda, Verónica; Ocampo-Zuleta, Korina; Palomino-Cardenas, Andrea Carmeli; Pastor Ploskonka, Samuel; Pierfederici, Maria Elisa; Pinelli, Verónica; Rickenback, Jess; Roos, Ruben E.; Rui, Hilde Stokland; Sanchez Diaz, Eugenia; Sánchez-Tapia, Andrea; Smith, Alyssa; Urquiaga-Flores, Erickson; von Oppen, Jonathan; Enquist, Brian J.

In: Scientific Data, Vol. 11, No. 1, 225, 2024.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Halbritter, AH, Vandvik, V, Cotner, SH, Farfan-Rios, W, Maitner, BS, Michaletz, ST, Oliveras Menor, I, Telford, RJ, Ccahuana, A, Cruz, R, Sallo-Bravo, J, Santos-Andrade, PE, Vilca-Bustamante, LL, Castorena, M, Chacón-Labella, J, Christiansen, CT, Duran, SM, Egelkraut, DD, Gya, R, Haugum, SV, Seltzer, L, Silman, MR, Strydom, T, Spiegel, MP, Barros, A, Birkeli, K, Boakye, M, Chiappero, F, Chmurzynski, A, Garen, JC, Gaudard, J, Gauthier, TLJ, Geange, SR, Gonzales, FN, Henn, JJ, Hošková, K, Isaksen, A, Jessup, LH, Johnson, W, Kusch, E, Lepley, K, Lift, M, Martyn, TE, Muñoz Mazon, M, Middleton, SL, Quinteros Casaverde, NL, Navarro, J, Zepeda, V, Ocampo-Zuleta, K, Palomino-Cardenas, AC, Pastor Ploskonka, S, Pierfederici, ME, Pinelli, V, Rickenback, J, Roos, RE, Rui, HS, Sanchez Diaz, E, Sánchez-Tapia, A, Smith, A, Urquiaga-Flores, E, von Oppen, J & Enquist, BJ 2024, 'Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú', Scientific Data, vol. 11, no. 1, 225. https://doi.org/10.1038/s41597-024-02980-3

APA

Halbritter, A. H., Vandvik, V., Cotner, S. H., Farfan-Rios, W., Maitner, B. S., Michaletz, S. T., Oliveras Menor, I., Telford, R. J., Ccahuana, A., Cruz, R., Sallo-Bravo, J., Santos-Andrade, P. E., Vilca-Bustamante, L. L., Castorena, M., Chacón-Labella, J., Christiansen, C. T., Duran, S. M., Egelkraut, D. D., Gya, R., ... Enquist, B. J. (2024). Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú. Scientific Data, 11(1), [225]. https://doi.org/10.1038/s41597-024-02980-3

Vancouver

Halbritter AH, Vandvik V, Cotner SH, Farfan-Rios W, Maitner BS, Michaletz ST et al. Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú. Scientific Data. 2024;11(1). 225. https://doi.org/10.1038/s41597-024-02980-3

Author

Halbritter, Aud H. ; Vandvik, Vigdis ; Cotner, Sehoya H. ; Farfan-Rios, William ; Maitner, Brian S. ; Michaletz, Sean T. ; Oliveras Menor, Imma ; Telford, Richard J. ; Ccahuana, Adam ; Cruz, Rudi ; Sallo-Bravo, Jhonatan ; Santos-Andrade, Paul Efren ; Vilca-Bustamante, Lucely L. ; Castorena, Matiss ; Chacón-Labella, Julia ; Christiansen, Casper Tai ; Duran, Sandra M. ; Egelkraut, Dagmar D. ; Gya, Ragnhild ; Haugum, Siri Vatsø ; Seltzer, Lorah ; Silman, Miles R. ; Strydom, Tanya ; Spiegel, Marcus P. ; Barros, Agustina ; Birkeli, Kristine ; Boakye, Mickey ; Chiappero, Fernanda ; Chmurzynski, Adam ; Garen, Josef C. ; Gaudard, Joseph ; Gauthier, Tasha Leigh J. ; Geange, Sonya R. ; Gonzales, Fiorella N. ; Henn, Jonathan J. ; Hošková, Kristýna ; Isaksen, Anders ; Jessup, Laura H. ; Johnson, Will ; Kusch, Erik ; Lepley, Kai ; Lift, Mackenzie ; Martyn, Trace E. ; Muñoz Mazon, Miguel ; Middleton, Sara L. ; Quinteros Casaverde, Natalia L. ; Navarro, Jocelyn ; Zepeda, Verónica ; Ocampo-Zuleta, Korina ; Palomino-Cardenas, Andrea Carmeli ; Pastor Ploskonka, Samuel ; Pierfederici, Maria Elisa ; Pinelli, Verónica ; Rickenback, Jess ; Roos, Ruben E. ; Rui, Hilde Stokland ; Sanchez Diaz, Eugenia ; Sánchez-Tapia, Andrea ; Smith, Alyssa ; Urquiaga-Flores, Erickson ; von Oppen, Jonathan ; Enquist, Brian J. / Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú. In: Scientific Data. 2024 ; Vol. 11, No. 1.

Bibtex

@article{46a1772760334631b7513b21119d731c,
title = "Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Per{\'u}",
abstract = "Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.",
author = "Halbritter, {Aud H.} and Vigdis Vandvik and Cotner, {Sehoya H.} and William Farfan-Rios and Maitner, {Brian S.} and Michaletz, {Sean T.} and {Oliveras Menor}, Imma and Telford, {Richard J.} and Adam Ccahuana and Rudi Cruz and Jhonatan Sallo-Bravo and Santos-Andrade, {Paul Efren} and Vilca-Bustamante, {Lucely L.} and Matiss Castorena and Julia Chac{\'o}n-Labella and Christiansen, {Casper Tai} and Duran, {Sandra M.} and Egelkraut, {Dagmar D.} and Ragnhild Gya and Haugum, {Siri Vats{\o}} and Lorah Seltzer and Silman, {Miles R.} and Tanya Strydom and Spiegel, {Marcus P.} and Agustina Barros and Kristine Birkeli and Mickey Boakye and Fernanda Chiappero and Adam Chmurzynski and Garen, {Josef C.} and Joseph Gaudard and Gauthier, {Tasha Leigh J.} and Geange, {Sonya R.} and Gonzales, {Fiorella N.} and Henn, {Jonathan J.} and Krist{\'y}na Ho{\v s}kov{\'a} and Anders Isaksen and Jessup, {Laura H.} and Will Johnson and Erik Kusch and Kai Lepley and Mackenzie Lift and Martyn, {Trace E.} and {Mu{\~n}oz Mazon}, Miguel and Middleton, {Sara L.} and {Quinteros Casaverde}, {Natalia L.} and Jocelyn Navarro and Ver{\'o}nica Zepeda and Korina Ocampo-Zuleta and Palomino-Cardenas, {Andrea Carmeli} and {Pastor Ploskonka}, Samuel and Pierfederici, {Maria Elisa} and Ver{\'o}nica Pinelli and Jess Rickenback and Roos, {Ruben E.} and Rui, {Hilde Stokland} and {Sanchez Diaz}, Eugenia and Andrea S{\'a}nchez-Tapia and Alyssa Smith and Erickson Urquiaga-Flores and {von Oppen}, Jonathan and Enquist, {Brian J.}",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
doi = "10.1038/s41597-024-02980-3",
language = "English",
volume = "11",
journal = "Scientific data",
issn = "2052-4463",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Plant trait and vegetation data along a 1314 m elevation gradient with fire history in Puna grasslands, Perú

AU - Halbritter, Aud H.

AU - Vandvik, Vigdis

AU - Cotner, Sehoya H.

AU - Farfan-Rios, William

AU - Maitner, Brian S.

AU - Michaletz, Sean T.

AU - Oliveras Menor, Imma

AU - Telford, Richard J.

AU - Ccahuana, Adam

AU - Cruz, Rudi

AU - Sallo-Bravo, Jhonatan

AU - Santos-Andrade, Paul Efren

AU - Vilca-Bustamante, Lucely L.

AU - Castorena, Matiss

AU - Chacón-Labella, Julia

AU - Christiansen, Casper Tai

AU - Duran, Sandra M.

AU - Egelkraut, Dagmar D.

AU - Gya, Ragnhild

AU - Haugum, Siri Vatsø

AU - Seltzer, Lorah

AU - Silman, Miles R.

AU - Strydom, Tanya

AU - Spiegel, Marcus P.

AU - Barros, Agustina

AU - Birkeli, Kristine

AU - Boakye, Mickey

AU - Chiappero, Fernanda

AU - Chmurzynski, Adam

AU - Garen, Josef C.

AU - Gaudard, Joseph

AU - Gauthier, Tasha Leigh J.

AU - Geange, Sonya R.

AU - Gonzales, Fiorella N.

AU - Henn, Jonathan J.

AU - Hošková, Kristýna

AU - Isaksen, Anders

AU - Jessup, Laura H.

AU - Johnson, Will

AU - Kusch, Erik

AU - Lepley, Kai

AU - Lift, Mackenzie

AU - Martyn, Trace E.

AU - Muñoz Mazon, Miguel

AU - Middleton, Sara L.

AU - Quinteros Casaverde, Natalia L.

AU - Navarro, Jocelyn

AU - Zepeda, Verónica

AU - Ocampo-Zuleta, Korina

AU - Palomino-Cardenas, Andrea Carmeli

AU - Pastor Ploskonka, Samuel

AU - Pierfederici, Maria Elisa

AU - Pinelli, Verónica

AU - Rickenback, Jess

AU - Roos, Ruben E.

AU - Rui, Hilde Stokland

AU - Sanchez Diaz, Eugenia

AU - Sánchez-Tapia, Andrea

AU - Smith, Alyssa

AU - Urquiaga-Flores, Erickson

AU - von Oppen, Jonathan

AU - Enquist, Brian J.

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024

Y1 - 2024

N2 - Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.

AB - Alpine grassland vegetation supports globally important biodiversity and ecosystems that are increasingly threatened by climate warming and other environmental changes. Trait-based approaches can support understanding of vegetation responses to global change drivers and consequences for ecosystem functioning. In six sites along a 1314 m elevational gradient in Puna grasslands in the Peruvian Andes, we collected datasets on vascular plant composition, plant functional traits, biomass, ecosystem fluxes, and climate data over three years. The data were collected in the wet and dry season and from plots with different fire histories. We selected traits associated with plant resource use, growth, and life history strategies (leaf area, leaf dry/wet mass, leaf thickness, specific leaf area, leaf dry matter content, leaf C, N, P content, C and N isotopes). The trait dataset contains 3,665 plant records from 145 taxa, 54,036 trait measurements (increasing the trait data coverage of the regional flora by 420%) covering 14 traits and 121 plant taxa (ca. 40% of which have no previous publicly available trait data) across 33 families.

U2 - 10.1038/s41597-024-02980-3

DO - 10.1038/s41597-024-02980-3

M3 - Journal article

C2 - 38383609

AN - SCOPUS:85185828348

VL - 11

JO - Scientific data

JF - Scientific data

SN - 2052-4463

IS - 1

M1 - 225

ER -

ID: 384492900