Global transpiration data from sap flow measurements: the SAPFLUXNET database
Rafael Poyatos, Víctor Granda, Víctor Flo, Mark A. Adams, Balázs Adorján, David Aguadé, Marcos Pereira Marinho Aidar, Scott T. Allen, M. Susana Alvarado-Barrientos, Kristina J. Anderson‐Teixeira, L. M. T. Aparecido, M. Altaf Arain, Ismael Aranda, Heidi Asbjornsen, Robert C. Baxter, Eric Beamesderfer, Z. Carter Berry, Daniel Berveiller, B. Blakely, Johnny L. Boggs, Gil Bohrer, Paul V. Bolstad, Damien Bonal, Rosvel Bracho, Patricia Brito, Jason Brodeur, Fernando Casanoves, Jérôme Chave, Hui Chen, César Cisneros Vaca, Kenneth L. Clark, Edoardo Cremonese, Jorge S. David, Teresa S. David, Nicolas Delpierre, Ankur R. Desai, Frédéric Chauvaud, Michal Dohnal, Jean‐Christophe Domec, Sebinasi Dzikiti, C. Edgar, Rebekka Eichstaedt, Tarek S. El‐Madany, J.A. Elbers, Cleiton B. Eller, Eugénie Euskirchen, B. E. Ewers, Patrick Fonti, Alicia Forner, David I. Forrester, Helber C. Freitas, Marta Galvagno, Omar García-Tejera, Chandra Prasad Ghimire, Teresa E. Gimeno, J. P. Grace, André Granier, Anne Griebel, Guangyu Yang, Mark B Gush, P. J. Hanson, Niles J. Hasselquist, Ingo Heinrich, Virginia Hernández‐Santana, Valentine Herrmann, Teemu Hölttä, F. Holwerda, Hongzhong Dang, J. E. Irvine, Supat Isarangkool Na Ayutthaya, P. G. Jarvis, Hubert Jochheim, Carlos A. Joly, Julia Kaplick, Hyun‐Seok Kim, Leif Klemedtsson, Heather Kropp, Fredrik Lagergren, Patrick Lane, Petra Lang, Andrei Lapenas, Víctor Lechuga, Minsu Lee, Christoph Leuschner, Jean‐Marc Limousin, Juan Carlos Linares, Maj-Lena Linderson, A. Lindroth, Pilar Llorens, Álvaro López-Bernal, M. M. Loranty, Dietmar Lüttschwager, Cate Macinnis‐Ng, Isabelle Maréchaux, Timothy A. Martin, Ashley M. Matheny, Nate G. McDowell, Sean M. McMahon, Patrick Meir, Ilona Mészáros, Mirco Migliavacca, Patrick J. Mitchell, Meelis Mölder, Leonardo Montagnani, Georgianne W. Moore, Ryogo Nakada, Furong Niu, Rachael H. Nolan, R. J. Norby, Kimberly A. Novick, Walter Oberhuber, Nikolaus Obojes, Christopher A. Oishi, Rafael S. Oliveira, Ram Oren, Jean‐Marc Ourcival, Teemu Paljakka, Óscar Pérez-Priego, Pablo Luís Peri, Richard L. Peters, Sebastian Pfautsch, William T. Pockman, Yakir Preisler, Katherine G. Rascher, George R. Robinson, Humberto Ribeiro da Rocha, Alain Rocheteau, Alexander Röll, Bruno H. P. Rosado, Lucy Rowland, Alexey V. Rubtsov, Santiago Sabaté, Yann Salmon, Roberto L. Salomón, Elisenda Sánchez-Costa, Karina V. R. Schäfer, Bernhard Schuldt, A. V. Shashkin, Clément Stahl, Marko Stojanović, Juan Carlos Suárez, Ge Sun, Justyna Szatniewska, Fyodor Tatarinov, Miroslav Tesař, Frank M. Thomas, Pantana Tor‐ngern, Josef Urban, Fernando Valladares, Christiaan van der Tol, Ilja van Meerveld, Andrej Varlagin, Holm Voigt, Jeffrey M. Warren, Christiane Werner, Willy Werner, Gerhard Wieser, Lisa Wingate, Stan D. Wullschleger, K. Yi, Roman Zweifel, Kathy Steppe, Maurizio Mencuccini, Jordi Martínez‐Vilalta
Abstract
Abstract. Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land–atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN.- Cite:
- Rafael Poyatos, Víctor Granda, Víctor Flo, Mark A. Adams, Balázs Adorján, David Aguadé, Marcos Pereira Marinho Aidar, Scott T. Allen, M. Susana Alvarado-Barrientos, Kristina J. Anderson‐Teixeira, L. M. T. Aparecido, M. Altaf Arain, Ismael Aranda, Heidi Asbjornsen, Robert C. Baxter, Eric Beamesderfer, Z. Carter Berry, Daniel Berveiller, B. Blakely, et al.. 2021. Global transpiration data from sap flow measurements: the SAPFLUXNET database. Earth System Science Data, Volume 13, Issue 6, 13(6):2607–2649.
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@article{Poyatos-2021-Global,
title = "Global transpiration data from sap flow measurements: the SAPFLUXNET database",
author = {Poyatos, Rafael and
Granda, V{\'\i}ctor and
Flo, V{\'\i}ctor and
Adams, Mark A. and
Adorj{\'a}n, Bal{\'a}zs and
Aguad{\'e}, David and
Aidar, Marcos Pereira Marinho and
Allen, Scott T. and
Alvarado-Barrientos, M. Susana and
Anderson‐Teixeira, Kristina J. and
Aparecido, L. M. T. and
Arain, M. Altaf and
Aranda, Ismael and
Asbjornsen, Heidi and
Baxter, Robert C. and
Beamesderfer, Eric and
Berry, Z. Carter and
Berveiller, Daniel and
Blakely, B. and
Boggs, Johnny L. and
Bohrer, Gil and
Bolstad, Paul V. and
Bonal, Damien and
Bracho, Rosvel and
Brito, Patricia and
Brodeur, Jason and
Casanoves, Fernando and
Chave, J{\'e}r{\^o}me and
Chen, Hui and
Vaca, C{\'e}sar Cisneros and
Clark, Kenneth L. and
Cremonese, Edoardo and
David, Jorge S. and
David, Teresa S. and
Delpierre, Nicolas and
Desai, Ankur R. and
Chauvaud, Fr{\'e}d{\'e}ric and
Dohnal, Michal and
Domec, Jean‐Christophe and
Dzikiti, Sebinasi and
Edgar, C. and
Eichstaedt, Rebekka and
El‐Madany, Tarek S. and
Elbers, J.A. and
Eller, Cleiton B. and
Euskirchen, Eug{\'e}nie and
Ewers, B. E. and
Fonti, Patrick and
Forner, Alicia and
Forrester, David I. and
Freitas, Helber C. and
Galvagno, Marta and
Garc{\'\i}a-Tejera, Omar and
Ghimire, Chandra Prasad and
Gimeno, Teresa E. and
Grace, J. P. and
Granier, Andr{\'e} and
Griebel, Anne and
Yang, Guangyu and
Gush, Mark B and
Hanson, P. J. and
Hasselquist, Niles J. and
Heinrich, Ingo and
Hern{\'a}ndez‐Santana, Virginia and
Herrmann, Valentine and
H{\"o}ltt{\"a}, Teemu and
Holwerda, F. and
Dang, Hongzhong and
Irvine, J. E. and
Ayutthaya, Supat Isarangkool Na and
Jarvis, P. G. and
Jochheim, Hubert and
Joly, Carlos A. and
Kaplick, Julia and
Kim, Hyun‐Seok and
Klemedtsson, Leif and
Kropp, Heather and
Lagergren, Fredrik and
Lane, Patrick and
Lang, Petra and
Lapenas, Andrei and
Lechuga, V{\'\i}ctor and
Lee, Minsu and
Leuschner, Christoph and
Limousin, Jean‐Marc and
Linares, Juan Carlos and
Linderson, Maj-Lena and
Lindroth, A. and
Llorens, Pilar and
L{\'o}pez-Bernal, {\'A}lvaro and
Loranty, M. M. and
L{\"u}ttschwager, Dietmar and
Macinnis‐Ng, Cate and
Mar{\'e}chaux, Isabelle and
Martin, Timothy A. and
Matheny, Ashley M. and
McDowell, Nate G. and
McMahon, Sean M. and
Meir, Patrick and
M{\'e}sz{\'a}ros, Ilona and
Migliavacca, Mirco and
Mitchell, Patrick J. and
M{\"o}lder, Meelis and
Montagnani, Leonardo and
Moore, Georgianne W. and
Nakada, Ryogo and
Niu, Furong and
Nolan, Rachael H. and
Norby, R. J. and
Novick, Kimberly A. and
Oberhuber, Walter and
Obojes, Nikolaus and
Oishi, Christopher A. and
Oliveira, Rafael S. and
Oren, Ram and
Ourcival, Jean‐Marc and
Paljakka, Teemu and
P{\'e}rez-Priego, {\'O}scar and
Peri, Pablo Lu{\'\i}s and
Peters, Richard L. and
Pfautsch, Sebastian and
Pockman, William T. and
Preisler, Yakir and
Rascher, Katherine G. and
Robinson, George R. and
Rocha, Humberto Ribeiro da and
Rocheteau, Alain and
R{\"o}ll, Alexander and
Rosado, Bruno H. P. and
Rowland, Lucy and
Rubtsov, Alexey V. and
Sabat{\'e}, Santiago and
Salmon, Yann and
Salom{\'o}n, Roberto L. and
S{\'a}nchez-Costa, Elisenda and
Sch{\"a}fer, Karina V. R. and
Schuldt, Bernhard and
Shashkin, A. V. and
Stahl, Cl{\'e}ment and
Stojanovi{\'c}, Marko and
Su{\'a}rez, Juan Carlos and
Sun, Ge and
Szatniewska, Justyna and
Tatarinov, Fyodor and
Tesa{\v{r}}, Miroslav and
Thomas, Frank M. and
Tor‐ngern, Pantana and
Urban, Josef and
Valladares, Fernando and
Tol, Christiaan van der and
Meerveld, Ilja van and
Varlagin, Andrej and
Voigt, Holm and
Warren, Jeffrey M. and
Werner, Christiane and
Werner, Willy and
Wieser, Gerhard and
Wingate, Lisa and
Wullschleger, Stan D. and
Yi, K. and
Zweifel, Roman and
Steppe, Kathy and
Mencuccini, Maurizio and
Mart{\'\i}nez‐Vilalta, Jordi},
journal = "Earth System Science Data, Volume 13, Issue 6",
volume = "13",
number = "6",
year = "2021",
publisher = "Copernicus GmbH",
url = "https://gwf-uwaterloo.github.io/gwf-publications/G21-160001",
doi = "10.5194/essd-13-2607-2021",
pages = "2607--2649",
abstract = "Abstract. Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land{--}atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 {\%} of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 {\%} of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 {\%} of the datasets. Many datasets contain data for species that make up 90 {\%} or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The {``}sapfluxnetr{''} R package {--} designed to access, visualize, and process SAPFLUXNET data {--} is available from CRAN.",
}
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<name type="personal">
<namePart type="given">Helber</namePart>
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<name type="personal">
<namePart type="given">Marta</namePart>
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<name type="personal">
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<name type="personal">
<namePart type="given">Chandra</namePart>
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<name type="personal">
<namePart type="given">Teresa</namePart>
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<namePart type="given">J</namePart>
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<name type="personal">
<namePart type="given">André</namePart>
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<name type="personal">
<namePart type="given">Anne</namePart>
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<name type="personal">
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<abstract>Abstract. Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land–atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN.</abstract>
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%0 Journal Article %T Global transpiration data from sap flow measurements: the SAPFLUXNET database %A Poyatos, Rafael %A Granda, Víctor %A Flo, Víctor %A Adams, Mark A. %A Adorján, Balázs %A Aguadé, David %A Aidar, Marcos Pereira Marinho %A Allen, Scott T. %A Alvarado-Barrientos, M. Susana %A Anderson‐Teixeira, Kristina J. %A Aparecido, L. M. T. %A Arain, M. Altaf %A Aranda, Ismael %A Asbjornsen, Heidi %A Baxter, Robert C. %A Beamesderfer, Eric %A Berry, Z. Carter %A Berveiller, Daniel %A Blakely, B. %A Boggs, Johnny L. %A Bohrer, Gil %A Bolstad, Paul V. %A Bonal, Damien %A Bracho, Rosvel %A Brito, Patricia %A Brodeur, Jason %A Casanoves, Fernando %A Chave, Jérôme %A Chen, Hui %A Vaca, César Cisneros %A Clark, Kenneth L. %A Cremonese, Edoardo %A David, Jorge S. %A David, Teresa S. %A Delpierre, Nicolas %A Desai, Ankur R. %A Chauvaud, Frédéric %A Dohnal, Michal %A Domec, Jean‐Christophe %A Dzikiti, Sebinasi %A Edgar, C. %A Eichstaedt, Rebekka %A El‐Madany, Tarek S. %A Elbers, J. A. %A Eller, Cleiton B. %A Euskirchen, Eugénie %A Ewers, B. E. %A Fonti, Patrick %A Forner, Alicia %A Forrester, David I. %A Freitas, Helber C. %A Galvagno, Marta %A García-Tejera, Omar %A Ghimire, Chandra Prasad %A Gimeno, Teresa E. %A Grace, J. P. %A Granier, André %A Griebel, Anne %A Yang, Guangyu %A Gush, Mark B. %A Hanson, P. J. %A Hasselquist, Niles J. %A Heinrich, Ingo %A Hernández‐Santana, Virginia %A Herrmann, Valentine %A Hölttä, Teemu %A Holwerda, F. %A Dang, Hongzhong %A Irvine, J. E. %A Ayutthaya, Supat Isarangkool Na %A Jarvis, P. G. %A Jochheim, Hubert %A Joly, Carlos A. %A Kaplick, Julia %A Kim, Hyun‐Seok %A Klemedtsson, Leif %A Kropp, Heather %A Lagergren, Fredrik %A Lane, Patrick %A Lang, Petra %A Lapenas, Andrei %A Lechuga, Víctor %A Lee, Minsu %A Leuschner, Christoph %A Limousin, Jean‐Marc %A Linares, Juan Carlos %A Linderson, Maj-Lena %A Lindroth, A. %A Llorens, Pilar %A López-Bernal, Álvaro %A Loranty, M. M. %A Lüttschwager, Dietmar %A Macinnis‐Ng, Cate %A Maréchaux, Isabelle %A Martin, Timothy A. %A Matheny, Ashley M. %A McDowell, Nate G. %A McMahon, Sean M. %A Meir, Patrick %A Mészáros, Ilona %A Migliavacca, Mirco %A Mitchell, Patrick J. %A Mölder, Meelis %A Montagnani, Leonardo %A Moore, Georgianne W. %A Nakada, Ryogo %A Niu, Furong %A Nolan, Rachael H. %A Norby, R. J. %A Novick, Kimberly A. %A Oberhuber, Walter %A Obojes, Nikolaus %A Oishi, Christopher A. %A Oliveira, Rafael S. %A Oren, Ram %A Ourcival, Jean‐Marc %A Paljakka, Teemu %A Pérez-Priego, Óscar %A Peri, Pablo Luís %A Peters, Richard L. %A Pfautsch, Sebastian %A Pockman, William T. %A Preisler, Yakir %A Rascher, Katherine G. %A Robinson, George R. %A Rocha, Humberto Ribeiro da %A Rocheteau, Alain %A Röll, Alexander %A Rosado, Bruno H. P. %A Rowland, Lucy %A Rubtsov, Alexey V. %A Sabaté, Santiago %A Salmon, Yann %A Salomón, Roberto L. %A Sánchez-Costa, Elisenda %A Schäfer, Karina V. R. %A Schuldt, Bernhard %A Shashkin, A. V. %A Stahl, Clément %A Stojanović, Marko %A Suárez, Juan Carlos %A Sun, Ge %A Szatniewska, Justyna %A Tatarinov, Fyodor %A Tesař, Miroslav %A Thomas, Frank M. %A Tor‐ngern, Pantana %A Urban, Josef %A Valladares, Fernando %A Tol, Christiaan van der %A Meerveld, Ilja van %A Varlagin, Andrej %A Voigt, Holm %A Warren, Jeffrey M. %A Werner, Christiane %A Werner, Willy %A Wieser, Gerhard %A Wingate, Lisa %A Wullschleger, Stan D. %A Yi, K. %A Zweifel, Roman %A Steppe, Kathy %A Mencuccini, Maurizio %A Martínez‐Vilalta, Jordi %J Earth System Science Data, Volume 13, Issue 6 %D 2021 %V 13 %N 6 %I Copernicus GmbH %F Poyatos-2021-Global %X Abstract. Plant transpiration links physiological responses of vegetation to water supply and demand with hydrological, energy, and carbon budgets at the land–atmosphere interface. However, despite being the main land evaporative flux at the global scale, transpiration and its response to environmental drivers are currently not well constrained by observations. Here we introduce the first global compilation of whole-plant transpiration data from sap flow measurements (SAPFLUXNET, https://sapfluxnet.creaf.cat/, last access: 8 June 2021). We harmonized and quality-controlled individual datasets supplied by contributors worldwide in a semi-automatic data workflow implemented in the R programming language. Datasets include sub-daily time series of sap flow and hydrometeorological drivers for one or more growing seasons, as well as metadata on the stand characteristics, plant attributes, and technical details of the measurements. SAPFLUXNET contains 202 globally distributed datasets with sap flow time series for 2714 plants, mostly trees, of 174 species. SAPFLUXNET has a broad bioclimatic coverage, with woodland/shrubland and temperate forest biomes especially well represented (80 % of the datasets). The measurements cover a wide variety of stand structural characteristics and plant sizes. The datasets encompass the period between 1995 and 2018, with 50 % of the datasets being at least 3 years long. Accompanying radiation and vapour pressure deficit data are available for most of the datasets, while on-site soil water content is available for 56 % of the datasets. Many datasets contain data for species that make up 90 % or more of the total stand basal area, allowing the estimation of stand transpiration in diverse ecological settings. SAPFLUXNET adds to existing plant trait datasets, ecosystem flux networks, and remote sensing products to help increase our understanding of plant water use, plant responses to drought, and ecohydrological processes. SAPFLUXNET version 0.1.5 is freely available from the Zenodo repository (https://doi.org/10.5281/zenodo.3971689; Poyatos et al., 2020a). The “sapfluxnetr” R package – designed to access, visualize, and process SAPFLUXNET data – is available from CRAN. %R 10.5194/essd-13-2607-2021 %U https://gwf-uwaterloo.github.io/gwf-publications/G21-160001 %U https://doi.org/10.5194/essd-13-2607-2021 %P 2607-2649
Markdown (Informal)
[Global transpiration data from sap flow measurements: the SAPFLUXNET database](https://gwf-uwaterloo.github.io/gwf-publications/G21-160001) (Poyatos et al., GWF 2021)
- Global transpiration data from sap flow measurements: the SAPFLUXNET database (Poyatos et al., GWF 2021)
ACL
- Rafael Poyatos, Víctor Granda, Víctor Flo, Mark A. Adams, Balázs Adorján, David Aguadé, Marcos Pereira Marinho Aidar, Scott T. Allen, M. Susana Alvarado-Barrientos, Kristina J. Anderson‐Teixeira, L. M. T. Aparecido, M. Altaf Arain, Ismael Aranda, Heidi Asbjornsen, Robert C. Baxter, Eric Beamesderfer, Z. Carter Berry, Daniel Berveiller, B. Blakely, et al.. 2021. Global transpiration data from sap flow measurements: the SAPFLUXNET database. Earth System Science Data, Volume 13, Issue 6, 13(6):2607–2649.