Search

Your search keyword '"Licona, J.C."' showing total 20 results
Start Over Author "Licona, J.C."
20 results on '"Licona, J.C."'

1. Local hydrological conditions influence tree diversity and composition across the Amazon basin

Author

Marca-Zevallos, M.J., Moulatlet, G.M., Sousa, T.R., Schietti, J., Coelho, L.D.S., Ramos, J.F., Lima Filho, D.D.A., Amaral, I.L., de Almeida Matos, F.D., Rincón, L.M., Cardenas Revilla, J.D., Pansonato, M.P., Gribel, R., Barbosa, E.M., Miranda, I.P.D.A., Bonates, L.C.D.M., Guevara, J.E., Salomão, R.P., Ferreira, L.V., Dantas do Amaral, D., Pitman, N.C.A., Vriesendorp, C., Baker, T.R., Brienen, R., Carim, M.D.J.V., Guimarães, J.R.D.S., Núñez Vargas, P., Huamantupa-Chuquimaco, I., Laurance, W.F., Laurance, S.G.W., Andrade, A., Camargo, J.L., Monteagudo Mendoza, A., Vasquez, R., Valenzuela Gamarra, L., Mogollón, H.F., Marimon-Junior, B.H., Marimon, B.S., Killeen, T.J., Farias, E.D.S., Neill, D., de Medeiros, M.B., Simon, M.F., Terborgh, J., Carlos Montero, J., Licona, J.C., Mostacedo, B., García-Villacorta, R., Araujo-Murakami, A., Arroyo, L., Villarroel, D., Dávila, N., Coelho de Souza, F., Carvalho, F.A., Comiskey, J.A., Alonso, A., Dallmeier, F., Oliveira, A.A., Castilho, C.V., Lloyd, J., Feldpausch, T.R., Ríos Paredes, M., Castaño Arboleda, N., Cárdenas López, D., Aymard Corredor, G.A., Di Fiore, A., Rudas, A., Prieto, A., Barbosa, F.R., Noronha, J.C., Rodrigues, D.D.J., Carpanedo, R.D.S.á., Honorio Coronado, E.N., Peres, C.A., Milliken, W., Fuentes, A., Tello, J.S., Cerón, C., Klitgaard, B., Tirado, M., Sierra, R., Young, K.R., Rivas-Torres, G.F., Stevenson, P.R., Cano, A., Wang, O., Baider, C., Barlow, J., Ferreira, J., Berenguer, E., Stropp, J., Balslev, H., Ahuite Reategui, M.A., Mesones, I., Valderrama Sandoval, E.H., Gonzales, T., Pansini, S., Reis, N.F.C., Sampaio, A.F., Vos, V.A., Palacios Cuenca, W., Manzatto, A.G., Farfan-Rios, W., Silman, M.R., Garcia-Cabrera, K., von Hildebrand, P., Guedes, M.C., Costa, J.B.P., Phillips, J.F., Vela, C.I.A., de Toledo, J.J., Pauletto, D., Valverde, F.C., Umaña, M.N., Phillips, O.L., Magnusson, W.E., ter Steege, H., Costa, F.R.C., Marca-Zevallos, M.J., Moulatlet, G.M., Sousa, T.R., Schietti, J., Coelho, L.D.S., Ramos, J.F., Lima Filho, D.D.A., Amaral, I.L., de Almeida Matos, F.D., Rincón, L.M., Cardenas Revilla, J.D., Pansonato, M.P., Gribel, R., Barbosa, E.M., Miranda, I.P.D.A., Bonates, L.C.D.M., Guevara, J.E., Salomão, R.P., Ferreira, L.V., Dantas do Amaral, D., Pitman, N.C.A., Vriesendorp, C., Baker, T.R., Brienen, R., Carim, M.D.J.V., Guimarães, J.R.D.S., Núñez Vargas, P., Huamantupa-Chuquimaco, I., Laurance, W.F., Laurance, S.G.W., Andrade, A., Camargo, J.L., Monteagudo Mendoza, A., Vasquez, R., Valenzuela Gamarra, L., Mogollón, H.F., Marimon-Junior, B.H., Marimon, B.S., Killeen, T.J., Farias, E.D.S., Neill, D., de Medeiros, M.B., Simon, M.F., Terborgh, J., Carlos Montero, J., Licona, J.C., Mostacedo, B., García-Villacorta, R., Araujo-Murakami, A., Arroyo, L., Villarroel, D., Dávila, N., Coelho de Souza, F., Carvalho, F.A., Comiskey, J.A., Alonso, A., Dallmeier, F., Oliveira, A.A., Castilho, C.V., Lloyd, J., Feldpausch, T.R., Ríos Paredes, M., Castaño Arboleda, N., Cárdenas López, D., Aymard Corredor, G.A., Di Fiore, A., Rudas, A., Prieto, A., Barbosa, F.R., Noronha, J.C., Rodrigues, D.D.J., Carpanedo, R.D.S.á., Honorio Coronado, E.N., Peres, C.A., Milliken, W., Fuentes, A., Tello, J.S., Cerón, C., Klitgaard, B., Tirado, M., Sierra, R., Young, K.R., Rivas-Torres, G.F., Stevenson, P.R., Cano, A., Wang, O., Baider, C., Barlow, J., Ferreira, J., Berenguer, E., Stropp, J., Balslev, H., Ahuite Reategui, M.A., Mesones, I., Valderrama Sandoval, E.H., Gonzales, T., Pansini, S., Reis, N.F.C., Sampaio, A.F., Vos, V.A., Palacios Cuenca, W., Manzatto, A.G., Farfan-Rios, W., Silman, M.R., Garcia-Cabrera, K., von Hildebrand, P., Guedes, M.C., Costa, J.B.P., Phillips, J.F., Vela, C.I.A., de Toledo, J.J., Pauletto, D., Valverde, F.C., Umaña, M.N., Phillips, O.L., Magnusson, W.E., ter Steege, H., and Costa, F.R.C.

Abstract

Tree diversity and composition in Amazonia are known to be strongly determined by the water supplied by precipitation. Nevertheless, within the same climatic regime, water availability is modulated by local topography and soil characteristics (hereafter referred to as local hydrological conditions), varying from saturated and poorly drained to well-drained and potentially dry areas. While these conditions may be expected to influence species distribution, the impacts of local hydrological conditions on tree diversity and composition remain poorly understood at the whole Amazon basin scale. Using a dataset of 443 1-ha non-flooded forest plots distributed across the basin, we investigate how local hydrological conditions influence 1) tree alpha diversity, 2) the community-weighted wood density mean (CWM-wd) – a proxy for hydraulic resistance and 3) tree species composition. We find that the effect of local hydrological conditions on tree diversity depends on climate, being more evident in wetter forests, where diversity increases towards locations with well-drained soils. CWM-wd increased towards better drained soils in Southern and Western Amazonia. Tree species composition changed along local soil hydrological gradients in Central-Eastern, Western and Southern Amazonia, and those changes were correlated with changes in the mean wood density of plots. Our results suggest that local hydrological gradients filter species, influencing the diversity and composition of Amazonian forests. Overall, this study shows that the effect of local hydrological conditions is pervasive, extending over wide Amazonian regions, and reinforces the importance of accounting for local topography and hydrology to better understand the likely response and resilience of forests to increased frequency of extreme climate events and rising temperatures.

Published
2022

2. Are functional traits good predictors of demographic rates? Evidence from five Neotropical forests

Author

Poorter, L., Wright, S.J., Paz, H., Ackerly, D.D., Condit, R., Ibarra-Manriquez, G., Harms, K.E., Licona, J.C., Martinez-Ramos, M., Mazer, S.J., Muller-Landau, H.C., Pena-Claros, M., Webb, C.O., and Wright, I.J.

Subjects
Plant populations -- Distribution, Population ecology -- Research, Forest flora -- Distribution, Forest flora -- Physiological aspects, Botany -- Environmental aspects, Botany -- Research, Company distribution practices, Biological sciences, Environmental issues
Abstract

A central goal of comparative plant ecology is to understand how functional traits vary among species and to what extent this variation has adaptive value. Here we evaluate relationships between four functional traits (seed volume, specific leaf area, wood density, and adult stature) and two demographic attributes (diameter growth and tree mortality) for large trees of 240 tree species from five Neotropical forests. We evaluate how these key functional traits are related to survival and growth and whether similar relationships between traits and demography hold across different tropical forests. There was a tendency for a trade-off between growth and survival across rain forest tree species. Wood density, seed volume, and adult stature were significant predictors of growth and/or mortality. Both growth and mortality rates declined with an increase in wood density. This is consistent with greater construction costs and greater resistance to stem damage for denser wood. Growth and mortality rates also declined as seed volume increased. This is consistent with an adaptive syndrome in which species tolerant of low resource availability (in this case shade-tolerant species) have large seeds to establish successfully and low inherent growth and mortality rates. Growth increased and mortality decreased with an increase in adult stature, because taller species have a greater access to light and longer life spans. Specific leaf area was, surprisingly, only modestly informative for the performance of large trees and had ambiguous relationships with growth and survival. Single traits accounted for 9-55% of the interspecific variation in growth and mortality rates at individual sites. Significant correlations with demographic rates tended to be similar across forests and for phylogenetically independent contrasts as well as for cross-species analyses that treated each species as an independent observation. In combination, the morphological traits explained 41% of the variation in growth rate and 54% of the variation in mortality rate, with wood density being the best predictor of growth and mortality. Relationships between functional traits and demographic rates were statistically similar across a wide range of Neotropical forests. The consistency of these results strongly suggests that tropical rain forest species face similar trade-offs in different sites and converge on similar sets of solutions. Key words: demography; functional ecology; height; life-history theory; seed mass; shade tolerance; species coexistence; specific leaf area; trees; tropical rain forest; wood density.

Published
2008

3. Biased-corrected richness estimates for the Amazonian tree flora

Author

ter Steege, H., Prado, P.I., Lima, R.A.F., Pos, E., de Souza Coelho, L., de Andrade Lima Filho, D., Salomão, R.P., Amaral, I.L., de Almeida Matos, F.D., Castilho, C.V., Phillips, O.L., Guevara, J.E., de Jesus Veiga Carim, M., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Martins, M.P., Sabatier, D., Irume, M.V., da Silva Guimarães, J.R., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Ramos, J.F., Monteagudo Mendoza, A., Venticinque, E.M., Luize, B.G., Núñez Vargas, P., Silva, T.S.F., de Leão Novo, E.M.M., Reis, N.F.C., Terborgh, J., Manzatto, A.G., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Duque, A., Costa, F.R.C., Castaño Arboleda, N., Schöngart, J., Zartman, C.E., Killeen, T.J., Marimon, B.S., Marimon-Junior, B.H., Vasquez, R., Mostacedo, B., Demarchi, L.O., Feldpausch, T.R., Engel, J., Petronelli, P., Baraloto, C., Assis, R.L., Castellanos, H., Simon, M.F., de Medeiros, M.B., Quaresma, A., Laurance, S.G.W., Rincón, L.M., Andrade, A., Sousa, T.R., Camargo, J.L., Schietti, J., Laurance, W.F., de Queiroz, H.L., Nascimento, H.E.M., Lopes, M.A., de Sousa Farias, E., Magalhães, J.L.L., Brienen, R., Aymard C, G.A., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Lopes, A., García-Villacorta, R., Draper, F., Vicentini, A., Cornejo Valverde, F., Lloyd, J., Gomes, V.H.F., Neill, D., Alonso, A., Dallmeier, F., de Souza, F.C., Gribel, R., Arroyo, L., Carvalho, F.A., de Aguiar, D.P.P., do Amaral, D.D., Pansonato, M.P., Feeley, K.J., Berenguer, E., Fine, P.V.A., Guedes, M.C., Barlow, J., Ferreira, J., Villa, B., Peñuela Mora, M.C., Jimenez, E.M., Licona, J.C., Cerón, C., Thomas, R., Maas, P., Silveira, M., Henkel, T.W., Stropp, J., Paredes, M.R., Dexter, K.G., Daly, D., Baker, T.R., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Tello, J.S., Pena, J.L.M., Peres, C.A., Klitgaard, B., Fuentes, A., Silman, M.R., Di Fiore, A., von Hildebrand, P., Chave, J., van Andel, T.R., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., Noronha, J.C., Prieto, A., Gonzales, T., de Sá Carpanedo, R., Gonzales, G.P.G., Gómez, R.Z., de Jesus Rodrigues, D., Zent, E.L., Ruschel, A.R., Vos, V.A., Fonty, É., Junqueira, A.B., Doza, H.P.D., Hoffman, B., Zent, S., Barbosa, E.M., Malhi, Y., de Matos Bonates, L.C., de Andrade Miranda, I.P., Silva, N., Barbosa, F.R., Vela, C.I.A., Pinto, L.F.M., Rudas, A., Albuquerque, B.W., Umaña, M.N., Carrero Márquez, Y.A., van der Heijden, G., Young, K.R., Tirado, M., Correa, D.F., Sierra, R., Costa, J.B.P., Rocha, M., Vilanova Torre, E., Wang, O., Oliveira, A.A., Kalamandeen, M., Vriesendorp, C., Ramirez-Angulo, H., Holmgren, M., Nascimento, M.T., Galbraith, D., Flores, B.M., Scudeller, V.V., Cano, A., Ahuite Reategui, M.A., Mesones, I., Baider, C., Mendoza, C., Zagt, R., Urrego Giraldo, L.E., Ferreira, C., Villarroel, D., Linares-Palomino, R., Farfan-Rios, W., Casas, L.F., Cárdenas, S., Balslev, H., Torres-Lezama, A., Alexiades, M.N., Garcia-Cabrera, K., Valenzuela Gamarra, L., Valderrama Sandoval, E.H., Ramirez Arevalo, F., Hernandez, L., Sampaio, A.F., Pansini, S., Palacios Cuenca, W., de Oliveira, E.A., Pauletto, D., Levesley, A., Melgaço, K., Pickavance, G., ter Steege, H., Prado, P.I., Lima, R.A.F., Pos, E., de Souza Coelho, L., de Andrade Lima Filho, D., Salomão, R.P., Amaral, I.L., de Almeida Matos, F.D., Castilho, C.V., Phillips, O.L., Guevara, J.E., de Jesus Veiga Carim, M., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Martins, M.P., Sabatier, D., Irume, M.V., da Silva Guimarães, J.R., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Ramos, J.F., Monteagudo Mendoza, A., Venticinque, E.M., Luize, B.G., Núñez Vargas, P., Silva, T.S.F., de Leão Novo, E.M.M., Reis, N.F.C., Terborgh, J., Manzatto, A.G., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Duque, A., Costa, F.R.C., Castaño Arboleda, N., Schöngart, J., Zartman, C.E., Killeen, T.J., Marimon, B.S., Marimon-Junior, B.H., Vasquez, R., Mostacedo, B., Demarchi, L.O., Feldpausch, T.R., Engel, J., Petronelli, P., Baraloto, C., Assis, R.L., Castellanos, H., Simon, M.F., de Medeiros, M.B., Quaresma, A., Laurance, S.G.W., Rincón, L.M., Andrade, A., Sousa, T.R., Camargo, J.L., Schietti, J., Laurance, W.F., de Queiroz, H.L., Nascimento, H.E.M., Lopes, M.A., de Sousa Farias, E., Magalhães, J.L.L., Brienen, R., Aymard C, G.A., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Lopes, A., García-Villacorta, R., Draper, F., Vicentini, A., Cornejo Valverde, F., Lloyd, J., Gomes, V.H.F., Neill, D., Alonso, A., Dallmeier, F., de Souza, F.C., Gribel, R., Arroyo, L., Carvalho, F.A., de Aguiar, D.P.P., do Amaral, D.D., Pansonato, M.P., Feeley, K.J., Berenguer, E., Fine, P.V.A., Guedes, M.C., Barlow, J., Ferreira, J., Villa, B., Peñuela Mora, M.C., Jimenez, E.M., Licona, J.C., Cerón, C., Thomas, R., Maas, P., Silveira, M., Henkel, T.W., Stropp, J., Paredes, M.R., Dexter, K.G., Daly, D., Baker, T.R., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Tello, J.S., Pena, J.L.M., Peres, C.A., Klitgaard, B., Fuentes, A., Silman, M.R., Di Fiore, A., von Hildebrand, P., Chave, J., van Andel, T.R., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., Noronha, J.C., Prieto, A., Gonzales, T., de Sá Carpanedo, R., Gonzales, G.P.G., Gómez, R.Z., de Jesus Rodrigues, D., Zent, E.L., Ruschel, A.R., Vos, V.A., Fonty, É., Junqueira, A.B., Doza, H.P.D., Hoffman, B., Zent, S., Barbosa, E.M., Malhi, Y., de Matos Bonates, L.C., de Andrade Miranda, I.P., Silva, N., Barbosa, F.R., Vela, C.I.A., Pinto, L.F.M., Rudas, A., Albuquerque, B.W., Umaña, M.N., Carrero Márquez, Y.A., van der Heijden, G., Young, K.R., Tirado, M., Correa, D.F., Sierra, R., Costa, J.B.P., Rocha, M., Vilanova Torre, E., Wang, O., Oliveira, A.A., Kalamandeen, M., Vriesendorp, C., Ramirez-Angulo, H., Holmgren, M., Nascimento, M.T., Galbraith, D., Flores, B.M., Scudeller, V.V., Cano, A., Ahuite Reategui, M.A., Mesones, I., Baider, C., Mendoza, C., Zagt, R., Urrego Giraldo, L.E., Ferreira, C., Villarroel, D., Linares-Palomino, R., Farfan-Rios, W., Casas, L.F., Cárdenas, S., Balslev, H., Torres-Lezama, A., Alexiades, M.N., Garcia-Cabrera, K., Valenzuela Gamarra, L., Valderrama Sandoval, E.H., Ramirez Arevalo, F., Hernandez, L., Sampaio, A.F., Pansini, S., Palacios Cuenca, W., de Oliveira, E.A., Pauletto, D., Levesley, A., Melgaço, K., and Pickavance, G.

Abstract

Amazonian forests are extraordinarily diverse, but the estimated species richness is very much debated. Here, we apply an ensemble of parametric estimators and a novel technique that includes conspecific spatial aggregation to an extended database of forest plots with up-to-date taxonomy. We show that the species abundance distribution of Amazonia is best approximated by a logseries with aggregated individuals, where aggregation increases with rarity. By averaging several methods to estimate total richness, we confirm that over 15,000 tree species are expected to occur in Amazonia. We also show that using ten times the number of plots would result in an increase to just ~50% of those 15,000 estimated species. To get a more complete sample of all tree species, rigorous field campaigns may be needed but the number of trees in Amazonia will remain an estimate for years to come. © 2020, The Author(s).

Published
2020

4. Rarity of monodominance in hyperdiverse Amazonian forests

Author

Ter Steege, H., Henkel, T.W., Helal, N., Marimon, B.S., Marimon-Junior, B.H., Huth, A., Groeneveld, J., Sabatier, D., Coelho, L.S., Filho, D.A.L., Salomão, R.P., Amaral, I.L., Matos, F.D.A., Castilho, C.V., Phillips, O.L., Guevara, J.E., Carim, M.J.V., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Irume, M.V., Martins, M.P., Guimarães, J.R.D.S., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Mendoza, A.M., Ramos, J.F., Luize, B.G., Moraes de Leão Novo, E.M., Núñez Vargas, P., Silva, T.S.F., Venticinque, E.M., Manzatto, A.G., Reis, N.F.C., Terborgh, J., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Feldpausch, T.R., Duque, A., Costa, F.R.C., Arboleda, N.C., Schöngart, J., Killeen, T.J., Vasquez, R., Mostacedo, B., Demarchi, L.O., Assis, R.L., Baraloto, C., Engel, J., Petronelli, P., Castellanos, H., de Medeiros, M.B., Quaresma, A., Simon, M.F., Andrade, A., Camargo, J.L., Laurance, S.G.W., Laurance, W.F., Rincón, L.M., Schietti, J., Sousa, T.R., de Sousa Farias, E., Lopes, M.A., Magalhães, J.L.L., Mendonça Nascimento, H.E., Lima de Queiroz, H., Aymard C, G.A., Brienen, R., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Draper, F., García-Villacorta, R., Lopes, A., Vicentini, A., Alonso, A., Dallmeier, F., Gomes, V.H.F., Lloyd, J., Neill, D., de Aguiar, D.P.P., Arroyo, L., Carvalho, F.A., de Souza, F.C., do Amaral, D.D., Feeley, K.J., Gribel, R., Pansonato, M.P., Barlow, J., Berenguer, E., Ferreira, J., Fine, P.V.A., Guedes, M.C., Jimenez, E.M., Licona, J.C., Peñuela Mora, M.C., Villa, B., Cerón, C., Maas, P., Silveira, M., Stropp, J., Thomas, R., Baker, T.R., Daly, D., Dexter, K.G., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Ríos Paredes, M., Fuentes, A., Klitgaard, B., Pena, J.L.M., Peres, C.A., Silman, M.R., Tello, J.S., Chave, J., Cornejo Valverde, F., Di Fiore, A., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., van Andel, T.R., von Hildebrand, P., Noronha, J.C., Barbosa, E.M., Barbosa, F.R., de Matos Bonates, L.C., Carpanedo, R.S., Dávila Doza, H.P., Fonty, É., GómeZárate Z, R., Gonzales, T., Gallardo Gonzales, G.P., Hoffman, B., Junqueira, A.B., Malhi, Y., Miranda, I.P.A., Pinto, L.F.M., Prieto, A., Rodrigues, D.J., Rudas, A., Ruschel, A.R., Silva, N., Vela, C.I.A., Vos, V.A., Zent, E.L., Zent, S., Weiss Albuquerque, B., Cano, A., Carrero Márquez, Y.A., Correa, D.F., Costa, J.B.P., Flores, B.M., Galbraith, D., Holmgren, M., Kalamandeen, M., Nascimento, M.T., Oliveira, A.A., Ramirez-Angulo, H., Rocha, M., Scudeller, V.V., Sierra, R., Tirado, M., Umaña Medina, M.N., van der Heijden, G., Vilanova Torre, E., Vriesendorp, C., Wang, O., Young, K.R., Ahuite Reategui, M.A., Baider, C., Balslev, H., Cárdenas, S., Casas, L.F., Farfan-Rios, W., Ferreira, C., Linares-Palomino, R., Mendoza, C., Mesones, I., Torres-Lezama, A., Giraldo, L.E.U., Villarroel, D., Zagt, R., Alexiades, M.N., de Oliveira, E.A., Garcia-Cabrera, K., Hernandez, L., Palacios Cuenca, W., Pansini, S., Pauletto, D., Ramirez Arevalo, F., Sampaio, A.F., Sandoval, E.H.V., Valenzuela Gamarra, L., Levesley, A., Pickavance, G., Melgaço, K., Ter Steege, H., Henkel, T.W., Helal, N., Marimon, B.S., Marimon-Junior, B.H., Huth, A., Groeneveld, J., Sabatier, D., Coelho, L.S., Filho, D.A.L., Salomão, R.P., Amaral, I.L., Matos, F.D.A., Castilho, C.V., Phillips, O.L., Guevara, J.E., Carim, M.J.V., Cárdenas López, D., Magnusson, W.E., Wittmann, F., Irume, M.V., Martins, M.P., Guimarães, J.R.D.S., Molino, J.-F., Bánki, O.S., Piedade, M.T.F., Pitman, N.C.A., Mendoza, A.M., Ramos, J.F., Luize, B.G., Moraes de Leão Novo, E.M., Núñez Vargas, P., Silva, T.S.F., Venticinque, E.M., Manzatto, A.G., Reis, N.F.C., Terborgh, J., Casula, K.R., Honorio Coronado, E.N., Montero, J.C., Feldpausch, T.R., Duque, A., Costa, F.R.C., Arboleda, N.C., Schöngart, J., Killeen, T.J., Vasquez, R., Mostacedo, B., Demarchi, L.O., Assis, R.L., Baraloto, C., Engel, J., Petronelli, P., Castellanos, H., de Medeiros, M.B., Quaresma, A., Simon, M.F., Andrade, A., Camargo, J.L., Laurance, S.G.W., Laurance, W.F., Rincón, L.M., Schietti, J., Sousa, T.R., de Sousa Farias, E., Lopes, M.A., Magalhães, J.L.L., Mendonça Nascimento, H.E., Lima de Queiroz, H., Aymard C, G.A., Brienen, R., Revilla, J.D.C., Vieira, I.C.G., Cintra, B.B.L., Stevenson, P.R., Feitosa, Y.O., Duivenvoorden, J.F., Mogollón, H.F., Araujo-Murakami, A., Ferreira, L.V., Lozada, J.R., Comiskey, J.A., de Toledo, J.J., Damasco, G., Dávila, N., Draper, F., García-Villacorta, R., Lopes, A., Vicentini, A., Alonso, A., Dallmeier, F., Gomes, V.H.F., Lloyd, J., Neill, D., de Aguiar, D.P.P., Arroyo, L., Carvalho, F.A., de Souza, F.C., do Amaral, D.D., Feeley, K.J., Gribel, R., Pansonato, M.P., Barlow, J., Berenguer, E., Ferreira, J., Fine, P.V.A., Guedes, M.C., Jimenez, E.M., Licona, J.C., Peñuela Mora, M.C., Villa, B., Cerón, C., Maas, P., Silveira, M., Stropp, J., Thomas, R., Baker, T.R., Daly, D., Dexter, K.G., Huamantupa-Chuquimaco, I., Milliken, W., Pennington, T., Ríos Paredes, M., Fuentes, A., Klitgaard, B., Pena, J.L.M., Peres, C.A., Silman, M.R., Tello, J.S., Chave, J., Cornejo Valverde, F., Di Fiore, A., Hilário, R.R., Phillips, J.F., Rivas-Torres, G., van Andel, T.R., von Hildebrand, P., Noronha, J.C., Barbosa, E.M., Barbosa, F.R., de Matos Bonates, L.C., Carpanedo, R.S., Dávila Doza, H.P., Fonty, É., GómeZárate Z, R., Gonzales, T., Gallardo Gonzales, G.P., Hoffman, B., Junqueira, A.B., Malhi, Y., Miranda, I.P.A., Pinto, L.F.M., Prieto, A., Rodrigues, D.J., Rudas, A., Ruschel, A.R., Silva, N., Vela, C.I.A., Vos, V.A., Zent, E.L., Zent, S., Weiss Albuquerque, B., Cano, A., Carrero Márquez, Y.A., Correa, D.F., Costa, J.B.P., Flores, B.M., Galbraith, D., Holmgren, M., Kalamandeen, M., Nascimento, M.T., Oliveira, A.A., Ramirez-Angulo, H., Rocha, M., Scudeller, V.V., Sierra, R., Tirado, M., Umaña Medina, M.N., van der Heijden, G., Vilanova Torre, E., Vriesendorp, C., Wang, O., Young, K.R., Ahuite Reategui, M.A., Baider, C., Balslev, H., Cárdenas, S., Casas, L.F., Farfan-Rios, W., Ferreira, C., Linares-Palomino, R., Mendoza, C., Mesones, I., Torres-Lezama, A., Giraldo, L.E.U., Villarroel, D., Zagt, R., Alexiades, M.N., de Oliveira, E.A., Garcia-Cabrera, K., Hernandez, L., Palacios Cuenca, W., Pansini, S., Pauletto, D., Ramirez Arevalo, F., Sampaio, A.F., Sandoval, E.H.V., Valenzuela Gamarra, L., Levesley, A., Pickavance, G., and Melgaço, K.

Abstract

Tropical forests are known for their high diversity. Yet, forest patches do occur in the tropics where a single tree species is dominant. Such “monodominant” forests are known from all of the main tropical regions. For Amazonia, we sampled the occurrence of monodominance in a massive, basin-wide database of forest-inventory plots from the Amazon Tree Diversity Network (ATDN). Utilizing a simple defining metric of at least half of the trees ≥ 10 cm diameter belonging to one species, we found only a few occurrences of monodominance in Amazonia, and the phenomenon was not significantly linked to previously hypothesized life history traits such wood density, seed mass, ectomycorrhizal associations, or Rhizobium nodulation. In our analysis, coppicing (the formation of sprouts at the base of the tree or on roots) was the only trait significantly linked to monodominance. While at specific locales coppicing or ectomycorrhizal associations may confer a considerable advantage to a tree species and lead to its monodominance, very few species have these traits. Mining of the ATDN dataset suggests that monodominance is quite rare in Amazonia, and may be linked primarily to edaphic factors.

Published
2019

5. Can timber provision from Amazonian production forests be sustainable?

Author

Piponiot, C., Rödig, Edna, Putz, F.E., Rutishauser, E., Sist, P., Ascarrunz, N., Blanc, L., Derroire, G., Descroix, L., Carneiro Guedes, M., Coronado, E.H., Huth, Andreas, Kanashiro, M., Licona, J.C., Mazzei, L., Neves d'Oliveira, M.V., Peña-Claros, M., Rodney, K., Shenkin, A., Rodrigues de Souza, C., Vidal, E., West, T.A.P., Wortel, V., Hérault, B., Piponiot, C., Rödig, Edna, Putz, F.E., Rutishauser, E., Sist, P., Ascarrunz, N., Blanc, L., Derroire, G., Descroix, L., Carneiro Guedes, M., Coronado, E.H., Huth, Andreas, Kanashiro, M., Licona, J.C., Mazzei, L., Neves d'Oliveira, M.V., Peña-Claros, M., Rodney, K., Shenkin, A., Rodrigues de Souza, C., Vidal, E., West, T.A.P., Wortel, V., and Hérault, B.

Abstract

Around 30 Mm3 of sawlogs are extracted annually by selective logging of natural production forests in Amazonia, Earth's most extensive tropical forest. Decisions concerning the management of these production forests will be of major importance for Amazonian forests' fate. To date, no regional assessment of selective logging sustainability supports decision-making. Based on data from 3500 ha of forest inventory plots, our modelling results show that the average periodic harvests of 20 m3 ha−1 will not recover by the end of a standard 30 year cutting cycle. Timber recovery within a cutting cycle is enhanced by commercial acceptance of more species and with the adoption of longer cutting cycles and lower logging intensities. Recovery rates are faster in Western Amazonia than on the Guiana Shield. Our simulations suggest that regardless of cutting cycle duration and logging intensities, selectively logged forests are unlikely to meet timber demands over the long term as timber stocks are predicted to steadily decline. There is thus an urgent need to develop an integrated forest resource management policy that combines active management of production forests with the restoration of degraded and secondary forests for timber production. Without better management, reduced timber harvests and continued timber production declines are unavoidable.

Published
2019

6. A global reference dataset for remote sensing of forest biomass. The Forest Observation System approach

Author

Shchepashchenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Banki, O., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S.Y., Bissiengou, P., Blanc, L., Bobkova, K.S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Doff Sotta, E., d'Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K., Susanty, F.H., Higuchi, N., Honorio Coronado, E.N., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Konan, J.K., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon Junior, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M.S., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Monteagudo-Mendoza, A., Morozyuk, O.V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A.F., Gutierrez, A.P., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silva-Espejo, J.E., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Sullivan, M.J.P., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Valenzuela Gamarra, L.V., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T.A.P., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Zamah Shari, N.H., Zo-Bi, I.C., Shchepashchenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Banki, O., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S.Y., Bissiengou, P., Blanc, L., Bobkova, K.S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Doff Sotta, E., d'Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K., Susanty, F.H., Higuchi, N., Honorio Coronado, E.N., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Konan, J.K., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon Junior, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M.S., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Monteagudo-Mendoza, A., Morozyuk, O.V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A.F., Gutierrez, A.P., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silva-Espejo, J.E., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Sullivan, M.J.P., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Valenzuela Gamarra, L.V., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T.A.P., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Zamah Shari, N.H., and Zo-Bi, I.C.

Abstract

Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities. Live, most up-to-date dataset is available at https://forest-observation-system.net

Published
2019

7. The Forest Observation System, building a global reference dataset for remote sensing of forest biomass

Author

Schepaschenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S., Bissiengou, P., Blanc, L., Bobkova, .S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Sotta, E.D., d’Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K.C., Susanty, F.H., Higuchi, N., Coronado, E.N.H., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V.V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Koffi, J.-C., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Mendoza, A.M., Moroziuk, Olga V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V.G., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Stonozhenko, L., Sullivan, M., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Gamarra, L.V., Vasiliev, S., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Nur Hajar, Z., Zo-Bi, I., Schepaschenko, D., Chave, J., Phillips, O.L., Lewis, S.L., Davies, S.J., Réjou-Méchain, M., Sist, P., Scipal, K., Perger, C., Herault, B., Labrière, N., Hofhansl, F., Affum-Baffoe, K., Aleinikov, A., Alonso, A., Amani, C., Araujo-Murakami, A., Armston, J., Arroyo, L., Ascarrunz, N., Azevedo, C., Baker, T., Bałazy, R., Bedeau, C., Berry, N., Bilous, A.M., Bilous, S., Bissiengou, P., Blanc, L., Bobkova, .S., Braslavskaya, T., Brienen, R., Burslem, D., Condit, R., Cuni-Sanchez, A., Danilina, D., del Castillo Torres, D., Derroire, G., Descroix, L., Sotta, E.D., d’Oliveira, M.V.N., Dresel, C., Erwin, T., Evdokimenko, M.D., Falck, J., Feldpausch, T.R., Foli, E.G., Foster, R., Fritz, S., Garcia-Abril, A.D., Gornov, A., Gornova, M., Gothard-Bassébé, E., Gourlet-Fleury, S., Guedes, M., Hamer, K.C., Susanty, F.H., Higuchi, N., Coronado, E.N.H., Hubau, W., Hubbell, S., Ilstedt, U., Ivanov, V.V., Kanashiro, M., Karlsson, A., Karminov, V.N., Killeen, T., Koffi, J.-C., Konovalova, M., Kraxner, F., Krejza, J., Krisnawati, H., Krivobokov, L.V., Kuznetsov, M.A., Lakyda, I., Lakyda, P.I., Licona, J.C., Lucas, R.M., Lukina, N., Lussetti, D., Malhi, Y., Manzanera, J.A., Marimon, B., Marimon, B.H., Martinez, R.V., Martynenko, O.V., Matsala, M., Matyashuk, R.K., Mazzei, L., Memiaghe, H., Mendoza, C., Mendoza, A.M., Moroziuk, Olga V., Mukhortova, L., Musa, S., Nazimova, D.I., Okuda, T., Oliveira, L.C., Ontikov, P.V., Osipov, A., Pietsch, S., Playfair, M., Poulsen, J., Radchenko, V.G., Rodney, K., Rozak, A.H., Ruschel, A., Rutishauser, E., See, L., Shchepashchenko, M., Shevchenko, N., Shvidenko, A., Silveira, M., Singh, J., Sonké, B., Souza, C., Stereńczak, K., Stonozhenko, L., Sullivan, M., Szatniewska, J., Taedoumg, H., ter Steege, H., Tikhonova, E., Toledo, M., Trefilova, O.V., Valbuena, R., Gamarra, L.V., Vasiliev, S., Vedrova, E.F., Verhovets, S.V., Vidal, E., Vladimirova, N.A., Vleminckx, J., Vos, V.A., Vozmitel, F.K., Wanek, W., West, T., Woell, H., Woods, J.T., Wortel, V., Yamada, T., Nur Hajar, Z., and Zo-Bi, I.

Abstract

Forest biomass is an essential indicator for monitoring the Earth’s ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world’s forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.

Published
2019

8. Does functional trait diversity predict aboveground biomass and productivity of tropical forests? Testing three alternative hypotheses

Author

Finegan, B., Peña Claros, M., de Oliviera, A., Alarcón, A., Ascarrunz, N., Bret-Harte, M.S., Carreño-Rocabado, G., Casanoves, F., Díaz, S., Eguiguren Velepucha, P., Fernandez, F., Licona, J.C., Lorenzo, L., Salgado Negret, B., Vaz, M., and Poorter, L.

Subjects
PLANT POPULATION AND COMMUNITY DYNAMICS, Specific leaf area, rican rain-forest, Plant Science, Biology, Carbon sequestration, growth-rates, complex mixtures, Ciencias Biológicas, amazon forest, Ecosystem, Bosecologie en Bosbeheer, ECOSYSTEM PRECESSES, species richness, Cwm, Ecology, Evolution, Behavior and Systematics, basin-wide variations, Bodembiologie, GREEN SOUP HYPOTHESIS, Biomass (ecology), nutrient limitation, BIOMASS RATIO, Ecology, Primary production, food and beverages, net primary production, Soil Biology, Ecología, PE&RC, Forest Ecology and Forest Management, economics spectrum, plant diversity, tree, NICHE COMPLEMENTARITY, Productivity (ecology), Species evenness, BIODIVERSITY, BIOMASSA, CIENCIAS NATURALES Y EXACTAS
Abstract

Tropical forests are globally important, but it is not clear whether biodiversity enhances carbon storage and sequestration in them. We tested this relationship focusing on components of functional trait biodiversity as predictors. Data are presented for three rain forests in Bolivia, Brazil and Costa Rica. Initial above-ground biomass and biomass increments of survivors, recruits and survivors + recruits (total) were estimated for trees ≥10 cm d.b.h. in 62 and 21 1.0-ha plots, respectively. We determined relationships of biomass increments to initial standing biomass (AGBi), biomass-weighted community mean values (CWM) of eight functional traits and four functional trait variety indices (functional richness, functional evenness, functional diversity and functional dispersion). The forest continuum sampled ranged from ‘slow’ stands dominated by trees with tough tissues and high AGBi, to ‘fast’ stands dominated by trees with soft, nutrient-rich leaves, lighter woods and lower AGBi. We tested whether AGBi and biomass increments were related to the CWM trait values of the dominant species in the system (the biomass ratio hypothesis), to the variety of functional trait values (the niche complementarity hypothesis), or in the case of biomass increments, simply to initial standing biomass (the green soup hypothesis). CWMs were reasonable bivariate predictors of AGBi and biomass increments, with CWM specific leaf area SLA, CWM leaf nitrogen content, CWM force to tear the leaf, CWM maximum adult height Hmax and CWM wood specific gravity the most important. AGBi was also a reasonable predictor of the three measures of biomass increment. In best-fit multiple regression models, CWMHmax was the most important predictor of initial standing biomass AGBi. Only leaf traits were selected in the best models for biomass increment; CWM SLA was the most important predictor, with the expected positive relationship. There were no relationships of functional variety indices to biomass increments, and AGBi was the only predictor for biomass increments from recruits. Synthesis. We found no support for the niche complementarity hypothesis and support for the green soup hypothesis only for biomass increments of recruits. We have strong support for the biomass ratio hypothesis. CWMHmax is a strong driver of ecosystem biomass and carbon storage and CWM SLA, and other CWM leaf traits are especially important for biomass increments and carbon sequestration. Fil: Finegan, B.. Production and Conservation in Forests Programme; Costa Rica Fil: Peña Claros, Marielos. Facultad de Ciencias Agrícolas. Instituto Boliviano de Investigación Forestal; Bolivia. Wageningen University. Forest Ecology and Forest Management Group; Países Bajos Fil: de Oliveira, Alexandre. Universidade de São Paulo. Departamento de Ecologia; Brasil Fil: Ascarrunz, Nataly. Facultad de Ciencias Agrícolas. Instituto Boliviano de Investigación Forestal; Bolivia Fil: Bret Harte, M. Syndonia. University of Alaska. Institute of Arctic Biology; Estados Unidos Fil: Carreno Rocabado, Geovana. Facultad de Ciencias Agrícolas. Instituto Boliviano de Investigación Forestal; Bolivia. Wageningen University. Forest Ecology and Forest Management Group; Países Bajos Fil: Casanoves, Fernando. Biostatistics Unit; Costa Rica Fil: Diaz, Sandra Myrna. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina Fil: Eguiguren Velepucha, Paul. Production and Conservation in Forests Programme; Costa Rica Fil: Fernandez, Fernando. Production and Conservation in Forests Programme; Costa Rica Fil: Licona, Juan Carlos. Facultad de Ciencias Agrícolas. Instituto Boliviano de Investigación Forestal; Bolivia Fil: Lorenzo, Leda. Universidade de São Paulo. Departamento de Ecologia; Brasil Fil: Salgado Negret, Beatriz. Production and Conservation in Forests Programme; Costa Rica. Instituto Alexander von Humboldt; Colombia Fil: Vaz, Marcel. Universidade de São Paulo. Departamento de Ecologia; Brasil Fil: Poorter, Lourens. Facultad de Ciencias Agrícolas. Instituto Boliviano de Investigación Forestal; Bolivia. Wageningen University. Forest Ecology and Forest Management Group; Países Bajos

Published
2015
Full Text
View/download PDF

9. Diversity enhances carbon storage in tropical forests

Author

Poorter, L., van der Sande, M.T., Thompson, J., Arets, E.J.M.M., Alarcón, A., Álvarez-Sánchez, J., Ascarrunz, N., Balvanera, P., Barajas-Guzmán, G., Boit, A., Bongers, F., Carvalho, F.A., Casanoves, F., Cornejo-Tenorio, G., Costa, F.R.C., de Castilho, C.V., Duivenvoorden, J.F., Dutrieux, L.P., Enquist, B.J., Fernández-Méndez, F., Finegan, B., Gormley, L.H.L., Healey, J.R., Hoosbeek, M.R., Ibarra-Manríquez, G., Junqueira, A.B., Levis, C., Licona, J.C., Lisboa, L.S., Magnusson, W.E., Martínez-Ramos, M., Martínez-Yrizar, A., Martorano, L.G., Maskell, L.C., Mazzei, L., Meave, J.A., Mora, F., Muñoz, R., Nytch, C., Pansonato, M.P., Parr, T.W., Paz, H., Pérez-García, E.A., Rentería, L.Y., Rodríguez-Velazquez, J., Rozendaal, D.M.A., Ruschel, A.R., Sakschewski, B., Salgado-Negret, B., Schietti, J., Simões, M., Sinclair, F.L., Souza, P.F., Souza, F.C., Stropp, J., ter Steege, H., Swenson, N.G., Thonicke, K., Toledo, M., Uriarte, M., van der Hout, P., Walker, P., Zamora, N., and Peña-Claros, M.

Subjects
Ecology and Environment
Abstract

Aim: Tropical forests store 25% of global carbon and harbour 96% of the world's tree species, but it is not clear whether this high biodiversity matters for carbon storage. Few studies have teased apart the relative importance of forest attributes and environmental drivers for ecosystem functioning, and no such study exists for the tropics. Location: Neotropics. Methods: We relate aboveground biomass (AGB) to forest attributes (diversity and structure) and environmental drivers (annual rainfall and soil fertility) using data from 144,000 trees, 2050 forest plots and 59 forest sites. The sites span the complete latitudinal and climatic gradients in the lowland Neotropics, with rainfall ranging from 750 to 4350 mm year−1. Relationships were analysed within forest sites at scales of 0.1 and 1 ha and across forest sites along large-scale environmental gradients. We used a structural equation model to test the hypothesis that species richness, forest structural attributes and environmental drivers have independent, positive effects on AGB. Results: Across sites, AGB was most strongly driven by rainfall, followed by average tree stem diameter and rarefied species richness, which all had positive effects on AGB. Our indicator of soil fertility (cation exchange capacity) had a negligible effect on AGB, perhaps because we used a global soil database. Taxonomic forest attributes (i.e. species richness, rarefied richness and Shannon diversity) had the strongest relationships with AGB at small spatial scales, where an additional species can still make a difference in terms of niche complementarity, while structural forest attributes (i.e. tree density and tree size) had strong relationships with AGB at all spatial scales. Main conclusions: Biodiversity has an independent, positive effect on AGB and ecosystem functioning, not only in relatively simple temperate systems but also in structurally complex hyperdiverse tropical forests. Biodiversity conservation should therefore be a key component of the UN Reducing Emissions from Deforestation and Degradation strategy.

Published
2015
Full Text
View/download PDF

10. Abiotic and biotic drivers of biomass change in a Neotropical forest

Author

van der Sande, M.T., Pena Claros, M., Ascarrunz, Nataly, Arets, E.J.M.M., Licona, J.C., Toledo, Marisol, Poorter, L., van der Sande, M.T., Pena Claros, M., Ascarrunz, Nataly, Arets, E.J.M.M., Licona, J.C., Toledo, Marisol, and Poorter, L.

Abstract

Summary1. Tropical fores ts play an important role in the global carbon cycle, but the drivers of net forest biomass change (i.e. net carbon sequestration) are poorly understood. Here, we evaluate how abiotic factors (soil co nditions and disturbance) and biotic factors (forest structure, diversity and communitytrait composition) shape three important demographic proces ses (biomass recruitment, growth and mortality) and how these underlie net biomass change.2. To test this, we evaluated 9 years of biomass dynamics using 48 1-ha plots in a Bolivian tropical moist forest, and measured for the most abundant species eight functional traits that are important for plant carbon gain and loss. Demographic processes were related to the abiotic and biotic factorsusing structural e quation models.3. Variation in net biomass change across plots was mostly due to stand-level mortality, but mortality itself could not be predicted at this scale. Contrary to expectations, we found that species richness and trait composition – which is an indicator for the mass-ratio theory – had little effect on the demographic processes. Biomass recruitment (i.e. the biomass growth by recruiting trees) increased with higher resource availability (i.e. water and light) and with high species richness, probably because of increased resource use efficiency. Biomass growth of larger, established trees increased with higher sand content, which may facilitate root growth of larger trees to deeper soil layers.4. In sum, diversity and mass-ratio are of limited importance for the productivity of this forest. Instead, in this moist tropical forest with a marked dry season , demographic processes are most strongly determined by soil texture, soil water availability and forest structure. Only by simultaneously evaluating multiple abiotic and biotic drivers of demog raphic processes, better insights can begained into mechanisms playing a role in the carbon sequestration potential of tropical forests and natural

Published
2017

11. Old-growth Neotropical forests are shifting in species and trait composition

Author

van der Sande, M.T., Arets, E.J.M.M., Pena Claros, M., Avila, L.A., Roopsind, A., Mazzei, L., Ascarrunz, N., Finegan, B., Alarcón, A., Caceres-Siani, Yasmani, Licona, J.C., Ruschel, A.R., Toledo, M., Poorter, L., van der Sande, M.T., Arets, E.J.M.M., Pena Claros, M., Avila, L.A., Roopsind, A., Mazzei, L., Ascarrunz, N., Finegan, B., Alarcón, A., Caceres-Siani, Yasmani, Licona, J.C., Ruschel, A.R., Toledo, M., and Poorter, L.

Abstract

This dataset contains the underlaying data for the study: Tropical forests have long been thought to be in stable state, but recent insights indicate that global change is leading to shifts in forest dynamics and species composition. These shifts may be driven by environmental changes such as increased resource availability, increased drought stress, and/or recovery from past disturbances. The relative importance of these drivers can be inferred from analysing changes in trait values of tree communities. Here, we evaluate a decade of change in species and trait composition across five old-growth Neotropical forests in Bolivia, Brazil, Guyana and Costa Rica that cover large gradients in rainfall and soil fertility. To identify the drivers of compositional change, we used data from 29 permanent sample plots and measurements of 15 leaf, stem and whole-plant traits that are important for plant performance and should respond to global change drivers. We found that forests differ strongly in their community-mean trait values, resulting from differences in soil fertility and annual rainfall seasonality. The abundance of deciduous species with high specific leaf area increases from wet to dry forests. The community-mean wood density is high in the driest forests to protect xylem vessels against drought-cavitation, and is high in nutrient poor forests to increase wood longevity and enhance nutrient residence time in the plant. The species composition changed over time in three of the forests, and the community-mean wood density increased and the specific leaf area decreased in all forests, indicating that these forests are changing towards later successional stages dominated by slow-growing, shade-tolerant species. We did not see changes in other traits that could reflect responses to increased drought stress, such as increased drought-deciduousness or decreased maximum adult size, or that could reflect increased resource availability (CO2, rainfall or nitrogen). Changes in

Published
2016

12. Distribution patterns of tropical woody species in response to climatic and edaphic gradients

Author

Toledo, M., Peña-Claros, M., Bongers, F., Alarcón, A., Balcázar, J., Chubiña, J., Leaño, C., Licona, J.C., and Poorter, L.

Subjects
curves, abundance, rain-forest, drought, PE&RC, Forest Ecology and Forest Management, tree, continuum theory, moist forest, soil factors, Bosecologie en Bosbeheer, environmental gradients, logistic-regression
Abstract

1. The analysis of species distribution patterns along environmental gradients is important for understanding the diversity and ecology of plants and species responses to climate change, but detailed data are surprisingly scarce for the tropics. 2. Here, we analyse the distribution of 100 woody species over 220 1-ha forest plots distributed over an area of c. 160 000 km2, across large environmental gradients in lowland Bolivia and evaluate the relative importance of climate and soils in shaping species distribution addressing four multivariate environmental axes (rainfall amount and distribution, temperature, soil fertility and soil texture). 3. Although species abundance was positively related to species frequency (the number of plots in which the species is found), this relationship was rather weak, which challenges the view that most tropical forests are dominated at large scales by a few common species. 4. Species responded clearly to environmental gradients, and for most of the species (65%), climatic and soil conditions could explain most of the variation in occurrence (R2 > 0.50), which challenges the idea that most tropical tree species are habitat generalists. 5. Climate was a stronger driver of species distribution than soils; 91% of the species were affected by rainfall (distribution), 72% by temperature, 47% by soil fertility and 44% by soil texture. In contrast to our expectation, few species showed a typical unimodal response to the environmental gradients.6. Synthesis. Tropical tree species specialize for different parts of the environmental gradients, and climate is a stronger driver of species distribution than soils. Because climate change scenarios predict increases in annual temperature and a stronger dry season for tropical forests, we may expect potentially large shifts in the distribution of tropical trees

Published
2012

13. Soil Effects on Forest Structure and Diversity in a Moist and a Dry Tropical Forest

Author

Peña-Claros, M., Poorter, L., Alarcon, A., Blate, G., Choque, U., Fredericksen, T.S., Justiniano, J., Leaño, C., Licona, J.C., Pariona, W., Putz, F.E., Quevedo, L., and Toledo, M.

Subjects
beta-diversity, national-park, floristic variation, habitat associations, PE&RC, Forest Ecology and Forest Management, amazonian rain-forest, ecuadorian amazonia, patterns, Bosecologie en Bosbeheer, terra-firme forests, edaphic factors, tree species richness
Abstract

Soil characteristics are important drivers of variation in wet tropical forest structure and diversity, but few studies have evaluated these relationships in drier forest types. Using tree and soil data from 48 and 32 1 ha plots, respectively, in a Bolivian moist and dry forest, we asked how soil conditions affect forest structure and diversity within each of the two forest types. After correcting for spatial effects, soil-vegetation relationships differed between the dry and the moist forest, being strongest in the dry forest. Furthermore, we hypothesized that soil nutrients would play a more important role in the moist forest than in the dry forest because vegetation in the moist forest is less constrained by water availability and thus can show its full potential response to soil fertility. However, contrary to our expectations, we found that soil fertility explained a larger number of forest variables in the dry forest (50 percent) than in the moist forest (17 percent). Shannon diversity declined with soil fertility at both sites, probably because the most dominant, shade-tolerant species strongly increased in abundance as soil fertility increased.

Published
2012

14. Driving factors of forest growth: a reply to Ferry et al. (2012)

Author

Toledo, M., Poorter, L., Peña-Claros, M., Alarcón, A., Balcázar, J., Leaño, C., Licona, J.C., Llanque, O., Vroomans, V., Zuidema, P.A., and Bongers, F.

Subjects
silvicultural treatments, rates, Soil Biology, dynamics, PE&RC, Forest Ecology and Forest Management, soil, tree, tropical rain-forest, Bosecologie en Bosbeheer, patterns, climate, Bodembiologie, amazonia
Abstract

1. In a recent paper, we analysed the effects of climate, soil and logging disturbance on tree and forest growth (Toledo et al. 2011a). We took advantage of one of the largest data sets in the Neotropics, consisting of 165 1-ha plots and over 62 000 trees distributed over an area of c. 160 000 km2, across large environmental gradients in lowland Bolivia. The main findings were that climate was the strongest driver of spatial variation in tree growth, whereas soils had only a modest effect on growth and that the effect of logging disappeared after a few years. 2. Ferry (2012) suggest that we underestimated the disturbance effects on growth because of a supposedly wrong coding of Time After Logging (TAL) for unlogged plots. Although we have good biological reasons why we coded TAL like we did, we checked Ferry et al.s suggestions for recoding and found no differences in variables that significantly explained tree and forest growth. We agree, however, that for future research, it is important to go beyond simple descriptors such as time after logging and basal area logged, to better describe the variation in logging impact found in areas under forest management. 3. Ferry et al. claim that we did not define basal area growth properly. We believe this is a semantic issue, as we clearly defined basal area growth as the net change in basal area. This net basal area change in Bolivian forests is indeed relatively high compared to other studies, which may be attributed to the higher soil fertility and biogeographic differences in species composition and their traits. 4. Synthesis. Many apparent discrepancies in the ecological literature arise because tropical forest ecologists tend to see the world from the perspective of their own forest (despite clear biogeographic differences) and try to capture the same ecological processes using different variables and measurement protocols. To advance our understanding and go beyond single-case studies, we need to assemble large databases, quantify forest dynamics and disturbances in similar ways, be aware of differences among forests and analyse environmental doseresponse curves.

Published
2012

15. Patterns and determinants of floristic variation across lowland forests of Bolivia. Biotropica

Author

Toledo, M., Poorter, L., Peña-Claros, M., Alarcón, A., Balcázar, J., Chuviña, J., Leaño, C., Licona, J.C., ter Steege, H., and Bongers, F.

Subjects
national-park, latitudinal gradients, PE&RC, Forest Ecology and Forest Management, diversity, tree, amazonian rain-forests, species distributions, soil factors, south-america, climate-change, Bosecologie en Bosbeheer, terra-firme forests
Abstract

Floristic variation is high in the Neotropics, but little is known about the factors shaping this variation at the mesoscale. We examined floristic composition and its relationship with environmental factors across 220 1-ha permanent plots in tropical lowland Bolivia. For each plot, abundance of 100 species (93 tree and 7 palm species =10 cm diam) was obtained. Climatic data, related to rainfall seasonality and temperature, were interpolated from all available weather stations in the region, and soil properties, related to texture and fertility, were obtained for each plot. Floristic variation was strongly associated with differences in water availability and temperature, and therefore the climatic gradient shaped floristic variation more strongly than the edaphic gradient. Detrended correspondence analysis ordination divided lowland Bolivia primarily into two major groups (Southern Chiquitano region vs. the Amazon region) and a multiple response permutation procedure distinguished five floristic regions. Overall, the tested environmental variables differed significantly among the five regions. Using indicator species analysis, we distinguished 82 strong indicator species, which had significant environmental preferences for one floristic region. These species can be used as indicators of environmental conditions or to determine which floristic region a certain forest belongs. Given the predicted decreases in rainfall and increases in temperature for tropical lowland forests, our gradient approach suggests that species composition may shift drastically with climate change

Published
2011

16. Patrones floristicos en las tierras bajas de Bolivia

Author

Toledo, M., Poorter, L., Peña-Claros, M., Alarcón, A., Balcázar, J., Chuviña, J., Licona, J.C., Leaño, C., ter Steege, H., and Bongers, F.

Subjects
Life Science, Bosecologie en Bosbeheer, PE&RC, Forest Ecology and Forest Management
Published
2011

18. Does functional trait diversity predict aboveground biomass and productivity of tropical forests? Testing three alternative hypotheses

Author

Finegan, B., Pena Claros, M., Silva de Oliveira, A., Ascarrunz, N., Bret-Harte, M.S., Carreño Rocabado, I.G., Casanoves, F., Diaz, S., Eguiguren Velepucha, P., Fernandez, F., Licona, J.C., Lorenzo, L., Salgado Negret, B., Vaz, M., Poorter, L., Finegan, B., Pena Claros, M., Silva de Oliveira, A., Ascarrunz, N., Bret-Harte, M.S., Carreño Rocabado, I.G., Casanoves, F., Diaz, S., Eguiguren Velepucha, P., Fernandez, F., Licona, J.C., Lorenzo, L., Salgado Negret, B., Vaz, M., and Poorter, L.

Abstract

1. Tropical forests are globally important, but it is not clear whether biodiversity enhances carbon storage and sequestration in them. We tested this relationship focusing on components of functional trait biodiversity as predictors. 2. Data are presented for three rain forests in Bolivia, Brazil and Costa Rica. Initial above-ground biomass and biomass increments of survivors, recruits and survivors + recruits (total) were estimated for trees ≥10 cm d.b.h. in 62 and 21 1.0-ha plots, respectively. We determined relationships of biomass increments to initial standing biomass (AGBi), biomass-weighted community mean values (CWM) of eight functional traits and four functional trait variety indices (functional richness, functional evenness, functional diversity and functional dispersion). 3. The forest continuum sampled ranged from ‘slow’ stands dominated by trees with tough tissues and high AGBi, to ‘fast’ stands dominated by trees with soft, nutrient-rich leaves, lighter woods and lower AGBi. 4. We tested whether AGBi and biomass increments were related to the CWM trait values of the dominant species in the system (the biomass ratio hypothesis), to the variety of functional trait values (the niche complementarity hypothesis), or in the case of biomass increments, simply to initial standing biomass (the green soup hypothesis). 5. CWMs were reasonable bivariate predictors of AGBi and biomass increments, with CWM specific leaf area SLA, CWM leaf nitrogen content, CWM force to tear the leaf, CWM maximum adult height Hmax and CWM wood specific gravity the most important. AGBi was also a reasonable predictor of the three measures of biomass increment. In best-fit multiple regression models, CWMHmax was the most important predictor of initial standing biomass AGBi. Only leaf traits were selected in the best models for biomass increment; CWM SLA was the most important predictor, with the expected positive relationship. There were no relationships of functional variety indices

Published
2014

Catalog

Books, media, physical & digital resources
See catalog results