Automated Author ProfilePeña-Claros, Marielos
Peña-Claros, Marielos
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 9.8 (sum of 11 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
No description available
Authors
- De Avila, Angela L. ;
- Van Der Sande, Masha T. ;
- Dormann, Carsten F. ;
- Peña-Claros, Marielos ;
- Poorter, Lourens ;
- Mazzei, Lucas ;
- Ruschel, Ademir R. ;
- Silva, José N. M. ;
- De Carvalho, João O. P. ;
- Bauhus, Jürgen
No description available
Authors
- Gei, Maga ;
- Rozendaal, Danaë M. A. ;
- Poorter, Lourens ;
- Bongers, Frans ;
- Sprent, Janet I. ;
- Garner, Mira D. ;
- Aide, T. Mitchell ;
- Andrade, José Luis ;
- Balvanera, Patricia ;
- Becknell, Justin M. ;
- Brancalion, Pedro H.S. ;
- Cabral, George A. L. ;
- César, Ricardo Gomes ;
- Chazdon, Robin L. ;
- Cole, Rebecca J. ;
- Colletta, Gabriel Dalla ;
- De Jong, Ben ;
- Denslow, Julie S. ;
- Dent, Daisy H. ;
- DeWalt, Saara J. ;
- Dupuy, Juan Manuel ;
- Durán, Sandra M. ;
- Do Espírito Santo, Mário Marcos ;
- Fernandes, G. Wilson ;
- Ferreira Nunes, Yule Roberta ;
- Finegan, Bryan ;
- Granda Moser, Vanessa ;
- Hall, Jefferson S. ;
- Hernández-Stefanoni, José Luis ;
- Junqueira, André B. ;
- Kennard, Deborah ;
- Lebrija-Trejo, Edwin ;
- Letcher, Susan G. ;
- Lohbeck, Madelon ;
- Marín-Spiotta, Erika ;
- Martínez-Ramos, Miguel ;
- Meave, Jorge A. ;
- Menge, Duncan N. L. ;
- Mora, Francisco ;
- Muñoz, Rodrigo ;
- Muscarella, Robert ;
- Ochoa-Gaona, Susana ;
- Orihuela-Belmonte, Edith ;
- Ostertag, Rebecca ;
- Peña-Claros, Marielos ;
- Pérez-García, Eduardo A. ;
- Piotto, Daniel ;
- Reich, Peter B. ;
- Reyes-García, Casandra ;
- Rodríguez-Velázquez, Jorge ;
- Romero-Pérez, I. Eunice ;
- Sanaphre-Villanueva, Lucía ;
- Sanchez-Azofeifa, Arturo ;
- Schwartz, Naomi B. ;
- Silva De Almeida, Arlete ;
- Silva Almeida-Cortez, Jarcilene ;
- Silver, Whendee ;
- Souza Moreno, Vanessa ;
- Sullivan, Benjamin W. ;
- Swenson, Nathan G. ;
- Uriarte, Maria ;
- Van Breugel, Michiel ;
- Van Der Wal, Hans ;
- Veloso, Maria Das Dores Magalhães ;
- Vester, Hans F. M. ;
- Vieira, Ima Célia Guimarães ;
- Zimmerman, Jess K. ;
- Powers, Jennifer S.
Understanding the processes that determine aboveground biomass (AGB) in Amazonian forests is important for predicting the sensitivity of these ecosystems to environmental change and for designing and evaluating dynamic global vegetation models (DGVMs). AGB is determined by inputs from woody productivity (woody NPP) and the rate at which carbon is lost through tree mortality. Here, we test whether two direct metrics of tree mortality (the absolute rate of woody biomass loss and the rate of stem mortality) and/or woody NPP, control variation in AGB among 167 plots in intact forest across Amazonia. We then compare these relationships and the observed variation in AGB and woody NPP with the predictions of four DGVMs. The observations show that stem mortality rates, rather than absolute rates of woody biomass loss, are the most important predictor of AGB, which is consistent with the importance of stand size-structure for determining spatial variation in AGB. The relationship between stem mortality rates and AGB varies among different regions of Amazonia, indicating that variation in wood density and height/diameter relationships also influence AGB. In contrast to previous findings, we find that woody NPP is not correlated with stem mortality rates, and is weakly positively correlated with AGB. Across the four models, basin-wide average AGB is similar to the mean of the observations. However, the models consistently overestimate woody NPP, and poorly represent the spatial patterns of both AGB and woody NPP estimated using plot data. In marked contrast to the observations, DGVMs typically show strong positive relationships between woody NPP and AGB. Resolving these differences will require incorporating forest size structure, mechanistic models of stem mortality and variation in functional composition in DGVMs.
Authors
- Johnson, Michelle O. ;
- Galbraith, David ;
- Gloor, Emanuel ;
- De Deurwaerder, Hannes ;
- Guimberteau, Matthieu ;
- Rammig, Anja ;
- Thonicke, Kirsten ;
- Verbeeck, Hans ;
- Von Randow, Celso ;
- Monteagudo, Abel ;
- Phillips, Oliver L. ;
- Brienen, Roel J.W. ;
- Feldpausch, Ted R. ;
- Lopez Gonzalez, Gaby ;
- Fauset, Sophie ;
- Quesada, Carlos A. ;
- Christoffersen, Bradley ;
- Ciais, Phillipe ;
- Gilvan, Sampaio ;
- Kruijt, Bart ;
- Meir, Patrick ;
- Moorcroft, Paul ;
- Zhang, Ke ;
- Alvarez, Esteban ;
- Alves De Oliveira, Atila ;
- Amaral, Iêda ;
- Andrade, Ana ;
- Aragao, Luiz E.O.C. ;
- Araujo-Murakami, Alejandro ;
- Arets, Eric J.M.M ;
- Arroyo, Luzmila ;
- Aymard, Gerado A. ;
- Baraloto, Christopher ;
- Barroso, Jorcely ;
- Bonal, Damien ;
- Boot, Rene ;
- Camargo, Jose Luis ;
- Chave, Jerome ;
- Cogollo, Alvaro ;
- Cornejo Valverde, Fernando ;
- Da Costa, Lola ;
- Di_Fiore, Anthony ;
- Ferreira, Leandro ;
- Higuchi, Niro ;
- Honorio, Euridice ;
- Killeen, Tim J. ;
- Laurance, Susan G. ;
- Laurance, William F. ;
- Leal, Darley C. ;
- Licona, Juan Carlos ;
- Lovejoy, Thomas ;
- Malhi, Yadvinder ;
- Marimon, Beatriz ;
- Marimon_Junior, Ben H. ;
- Mendoza, Casimiro ;
- Neill, David A. ;
- Pardo, Guido ;
- Peña-Claros, Marielos ;
- Pitman, Nigel C.A. ;
- Poorter, Lourens ;
- Prieto, Adriana ;
- Ramirez-Angulo, Hirma ;
- Roopsind, Anand ;
- Rudas, Agustin ;
- Salomao, Rafael P. ;
- Silveira, Marcos ;
- Stropp, Juliana ;
- Ter_Steege, Hans ;
- Terborgh, John ;
- Thomas, Raquel ;
- Toledo, Marisol ;
- Torres, Armando ;
- Van Der Heijden, Geertje M.F. ;
- Vasquez, Rodolfo ;
- Vieira, Ima ;
- Vilanova, Emilio ;
- Vos, Vincent A. ;
- Baker, Timothy R.
No description available
Authors
- Poorter, Lourens ;
- Bongers, Frans ;
- Aide, T. Mitchell ;
- Almeyda Zambrano, Angélica M. ;
- Balvanera, Patricia ;
- Becknell, Justin M. ;
- Boukili, Vanessa ;
- Brancalion, Pedro H. S. ;
- Broadbent, Eben N. ;
- Chazdon, Robin L. ;
- Craven, Dylan ;
- De Almeida-Cortez, Jarcilene S. ;
- Cabral, George A. L. ;
- De Jong, Ben H. J. ;
- Denslow, Julie S. ;
- Dent, Daisy H. ;
- DeWalt, Saara J. ;
- Dupuy, Juan M. ;
- Durán, Sandra M. ;
- Espírito-Santo, Mario M. ;
- Fandino, María C. ;
- César, Ricardo G. ;
- Hall, Jefferson S. ;
- Hernandez-Stefanoni, José Luis ;
- Jakovac, Catarina C. ;
- Junqueira, André B. ;
- Kennard, Deborah ;
- Letcher, Susan G. ;
- Licona, Juan-Carlos ;
- Lohbeck, Madelon ;
- Marín-Spiotta, Erika ;
- Martínez-Ramos, Miguel ;
- Massoca, Paulo ;
- Meave, Jorge A. ;
- Mesquita, Rita ;
- Mora, Francisco ;
- Muñoz, Rodrigo ;
- Muscarella, Robert ;
- Nunes, Yule R. F. ;
- Ochoa-Gaona, Susana ;
- De Oliveira, Alexandre A. ;
- Orihuela-Belmonte, Edith ;
- Peña-Claros, Marielos ;
- Pérez-García, Eduardo A. ;
- Piotto, Daniel ;
- Powers, Jennifer S. ;
- Rodríguez-Velázquez, Jorge ;
- Romero-Pérez, I. Eunice ;
- Ruíz, Jorge ;
- Saldarriaga, Juan G. ;
- Sanchez-Azofeifa, Arturo ;
- Schwartz, Naomi B. ;
- Steininger, Marc K. ;
- Swenson, Nathan G. ;
- Toledo, Marisol ;
- Uriarte, Maria ;
- Van Breugel, Michiel ;
- Van Der Wal, Hans ;
- Veloso, Maria D. M. ;
- Vester, Hans F. M. ;
- Vicentini, Alberto ;
- Vieira, Ima C. G. ;
- Vizcarra Bentos, Tony ;
- Williamson, G. Bruce ;
- Rozendaal, Danaë M. A.
No description available
Authors
- Piponiot, Camille ;
- Sist, Plinio ;
- Mazzei, Lucas ;
- Peña-Claros, Marielos ;
- Putz, Francis E. ;
- Rutishauser, Ervan ;
- Shenkin, Alexander ;
- Ascarrunz, Nataly ;
- De Azevedo, Celso P. ;
- Baraloto, Christopher ;
- França, Mabiane ;
- Guedes, Marcelino ;
- Honorio Coronado, Eurídice N. ;
- D'Oliveira, Marcus V. N. ;
- Ruschel, Ademir R. ;
- Da Silva, Katia E. ;
- Doff Sotta, Eleneide ;
- De Souza, Cintia R. ;
- Vidal, Edson ;
- West, Thales A. P. ;
- Hérault, Bruno
No description available
Authors
- Piponiot, Camille ;
- Sist, Plinio ;
- Mazzei, Lucas ;
- Peña-Claros, Marielos ;
- Putz, Francis E. ;
- Rutishauser, Ervan ;
- Shenkin, Alexander ;
- Ascarrunz, Nataly ;
- De Azevedo, Celso P. ;
- Baraloto, Christopher ;
- França, Mabiane ;
- Guedes, Marcelino ;
- Honorio Coronado, Eurídice N. ;
- D'Oliveira, Marcus V. N. ;
- Ruschel, Ademir R. ;
- Da Silva, Katia E. ;
- Doff Sotta, Eleneide ;
- De Souza, Cintia R. ;
- Vidal, Edson ;
- West, Thales A. P. ;
- Hérault, Bruno
No description available
Authors
- Piponiot, Camille ;
- Sist, Plinio ;
- Mazzei, Lucas ;
- Peña-Claros, Marielos ;
- Putz, Francis E. ;
- Rutishauser, Ervan ;
- Shenkin, Alexander ;
- Ascarrunz, Nataly ;
- De Azevedo, Celso P. ;
- Baraloto, Christopher ;
- França, Mabiane ;
- Guedes, Marcelino ;
- Honorio Coronado, Eurídice N. ;
- D'Oliveira, Marcus V. N. ;
- Ruschel, Ademir R. ;
- Da Silva, Katia E. ;
- Doff Sotta, Eleneide ;
- De Souza, Cintia R. ;
- Vidal, Edson ;
- West, Thales A. P. ;
- Hérault, Bruno
No description available
Authors
- Carreño-Rocabado, Geovana ;
- Peña-Claros, Marielos ;
- Bongers, Frans ;
- Díaz, Sandra ;
- Quétier, Fabien ;
- Chuviña, José ;
- Poorter, Lourens
No description available
Authors
- Carreño-Rocabado, Geovana ;
- Peña-Claros, Marielos ;
- Bongers, Frans ;
- Díaz, Sandra ;
- Quétier, Fabien ;
- Chuviña, José ;
- Poorter, Lourens
AbstractAbstractAimThe accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset.LocationTropical forests of the Amazon basin. The permanent archive of the field plot data can be accessed at: http://dx.doi.org/10.5521/FORESTPLOTS.NET/2014_1MethodsTwo recent pantropical RS maps of vegetation carbon are compared to a unique ground-plot dataset, involving tree measurements in 413 large inventory plots located in nine countries. The RS maps were compared directly to field plots, and kriging of the field data was used to allow area-based comparisons.ResultsThe two RS carbon maps fail to capture the main gradient in Amazon forest carbon detected using 413 ground plots, from the densely wooded tall forests of the north-east, to the light-wooded, shorter forests of the south-west. The differences between plots and RS maps far exceed the uncertainties given in these studies, with whole regions over- or under-estimated by more than 25%, whereas regional uncertainties for the maps were reported to be less than 5%.Main conclusionsPantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon-mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above-ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species assemblages can be reliably mapped from space.
Authors
- Lopez-Gonzalez, Gabriela ;
- Mitchard, Edward T. A. ;
- Feldpausch, Ted R. ;
- Brienen, Roel J. W. ;
- Monteagudo, Abel ;
- Baker, Timothy R. ;
- Lewis, Simon L. ;
- Lloyd, Jonathan ;
- Quesada, Carlos Alberto ;
- Gloor, Emanuel ;
- Ter Steege, Hans ;
- Meir, Patrick ;
- Alvarez, Esteban ;
- Araujo-Murakami, Alejandro ;
- Aragão, Luiz E. O. C. ;
- Arroyo, Luzmila ;
- Aymard, Gerardo ;
- Banki, Olaf ;
- Bonal, Damien ;
- Brown, Sandra ;
- Brown, Foster I. ;
- Cerón, Carlos E. ;
- Chama Moscoso, Victor ;
- Chave, Jerome ;
- Comiskey, James M. ;
- Cornejo, Fernando ;
- Corrales Medina, Massiel ;
- Da Costa, Lola ;
- Costa, Flavia R. C. ;
- Di Fiore, Anthony ;
- Domingues, Tomas ;
- Erwin, Terry L. ;
- Fredericksen, Todd ;
- Higuchi, Niro ;
- Honorio Coronado, Euridice N. ;
- Killeen, Tim J. ;
- Laurance, William F. ;
- Levis, Carolina ;
- Magnusson, William E. ;
- Marimon, Beatriz S. ;
- Marimon-Junior, Ben Hur; ;
- Mendoza Polo, Irina ;
- Mishra, Piyush ;
- Nascimento, Marcelo ;
- Neill, David ;
- Nunez Vargas, Mario Percy ;
- Palacios, Walter A. ;
- Parada-Gutierrez, Alexander ;
- Pardo Molina, Guido ;
- Peña-Claros, Marielos ;
- Pitman, Nigel ;
- Peres, Carlos A. ;
- Poorter, Lourens ;
- Prieto, Adriana ;
- Ramírez-Angulo, Hirma ;
- Restrepo Correa, Zorayda ;
- Roopsind, Anand ;
- Roucoux, Katherine H. ;
- Rudas, Agustin ;
- Salomao, Rafael P. ;
- Schietti, Juliana ;
- Silveira, Marcos ;
- De Souza, Priscila F. ;
- Steiniger, Marc ;
- Stropp, Juliana ;
- Terborgh, John ;
- Thomas, Raquel P. ;
- Toledo, Marisol ;
- Torres-Lezama, Armando ;
- Van Andel, Tinde R. ;
- Van Der Heijden, Geertje M. F. ;
- Vieira, Ima Celia Guimaraes ;
- Vieira, Simone ;
- Vilanova-Torre, Emilio ;
- Vos, Vincent A. ;
- Wang, Ophelia ;
- Zartman, Charles E. ;
- De Oliveira, Edmar Almeida ;
- Morandi, Paulo Sergio ;
- Malhi, Yadvinder ;
- Phillips, Oliver L.