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8 results on '"White, L.J.T."'

3. Floristics and biogeography of vegetation in seasonally dry tropical regions

Author

DEXTER, K.G., SMART, B., BALDAUF, C., BAKER, T.R., BALINGA, M.P. BESSIKE, BRIENEN, R.J.W., FAUSET, S., FELDPAUSCH, T.R., SILVA, L. FERREIRA-DA, MULEDI, J. ILUNGA, LEWIS, S.L., LOPEZ-GONZALEZ, G., MARIMON-JUNIOR, B.H., MARIMON, B.S., MEERTS, P., PAGE, N., PARTHASARATHY, N., PHILLIPS, O.L., SUNDERLAND, T.C.H., THEILADE, I., WEINTRITT, J., AFFUM-BAFFOE, K., ARAUJO, A., ARROYO, L., BEGNE, S.K., NEVES, E. CARVALHO-DAS, COLLINS, M., CUNI-SANCHEZ, A., DJUIKOUO, M.N.K., ELIAS, F., FOLI, E.G., JEFFERY, K.J., KILLEEN, T.J., MALHI, Y., MARACAHIPES, L., MENDOZA, C., MONTEAGUDO-MENDOZA, A., MORANDI, P., OLIVEIRA-DOS SANTOS, C., PARADA, A.G., PARDO, G., PEH, K.S.-H., SALOMÃO, R.P., SILVEIRA, M., SINATORA –MIRANDA, H., SLIK, J.W.F., SONKE, B., TAEDOUMG, H.E., TOLEDO, M., UMETSU, R.K., VILLAROEL, R.G., VOS, V.A., WHITE, L.J.T., and PENNINGTON, R.T.

Published
2015

4. Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Author

Duncanson, L., Kellner, J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H.-E., Aplin, P., Baker, T.R., Barbier, N., Bastin, J.F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Brehm Boucher, P., Boyd, D.S., Burslem, D.F.R.P., Calvo-Rodriguez, S., Chave, J., Chazdon, R.L., Clark, D.B., Clark, D.A., Cohen, W.B., Coomes, D.A., Corona, P., Cushman, K.C., Cutler, M.E.J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Jeffery, K.J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, Nikolai, Král, K., Krůček, M., Labrière, N., Lewis, S.L., Longo, M., Lucas, R.M., Main, R., Manzanera, J.A., Vásquez Martínez, R., Mathieu, R., Memiaghe, H., Meyer, V., Monteagudo Mendoza, A., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M., Orwig, D.A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O.L., Pisek, J., Poulsen, J.R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C.A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J.C., White, L.J.T., Zahabu, E., Zgraggen, C., Duncanson, L., Kellner, J.R., Armston, J., Dubayah, R., Minor, D.M., Hancock, S., Healey, S.P., Patterson, P.L., Saarela, S., Marselis, S., Silva, C.E., Bruening, J., Goetz, S.J., Tang, H., Hofton, M., Blair, B., Luthcke, S., Fatoyinbo, L., Abernethy, K., Alonso, A., Andersen, H.-E., Aplin, P., Baker, T.R., Barbier, N., Bastin, J.F., Biber, P., Boeckx, P., Bogaert, J., Boschetti, L., Brehm Boucher, P., Boyd, D.S., Burslem, D.F.R.P., Calvo-Rodriguez, S., Chave, J., Chazdon, R.L., Clark, D.B., Clark, D.A., Cohen, W.B., Coomes, D.A., Corona, P., Cushman, K.C., Cutler, M.E.J., Dalling, J.W., Dalponte, M., Dash, J., de-Miguel, S., Deng, S., Jeffery, K.J., Katoh, M., Kearsley, E., Kenfack, D., Kljun, N., Knapp, Nikolai, Král, K., Krůček, M., Labrière, N., Lewis, S.L., Longo, M., Lucas, R.M., Main, R., Manzanera, J.A., Vásquez Martínez, R., Mathieu, R., Memiaghe, H., Meyer, V., Monteagudo Mendoza, A., Monerris, A., Montesano, P., Morsdorf, F., Næsset, E., Naidoo, L., Nilus, R., O’Brien, M., Orwig, D.A., Papathanassiou, K., Parker, G., Philipson, C., Phillips, O.L., Pisek, J., Poulsen, J.R., Pretzsch, H., Rüdiger, C., Saatchi, S., Sanchez-Azofeifa, A., Sanchez-Lopez, N., Scholes, R., Silva, C.A., Simard, M., Skidmore, A., Stereńczak, K., Tanase, M., Torresan, C., Valbuena, R., Verbeeck, H., Vrska, T., Wessels, K., White, J.C., White, L.J.T., Zahabu, E., and Zgraggen, C.

Abstract

NASA’s Global Ecosystem Dynamics Investigation (GEDI) is collecting spaceborne full waveform lidar data with a primary science goal of producing accurate estimates of forest aboveground biomass density (AGBD). This paper presents the development of the models used to create GEDI’s footprint-level (~25 m) AGBD (GEDI04_A) product, including a description of the datasets used and the procedure for final model selection. The data used to fit our models are from a compilation of globally distributed spatially and temporally coincident field and airborne lidar datasets, whereby we simulated GEDI-like waveforms from airborne lidar to build a calibration database. We used this database to expand the geographic extent of past waveform lidar studies, and divided the globe into four broad strata by Plant Functional Type (PFT) and six geographic regions. GEDI’s waveform-to-biomass models take the form of parametric Ordinary Least Squares (OLS) models with simulated Relative Height (RH) metrics as predictor variables. From an exhaustive set of candidate models, we selected the best input predictor variables, and data transformations for each geographic stratum in the GEDI domain to produce a set of comprehensive predictive footprint-level models. We found that model selection frequently favored combinations of RH metrics at the 98th, 90th, 50th, and 10th height above ground-level percentiles (RH98, RH90, RH50, and RH10, respectively), but that inclusion of lower RH metrics (e.g. RH10) did not markedly improve model performance. Second, forced inclusion of RH98 in all models was important and did not degrade model performance, and the best performing models were parsimonious, typically having only 1-3 predictors. Third, stratification by geographic domain (PFT, geographic region) improved model performance in comparison to global models without stratification. Fourth, for the vast majority of strata, the best performing models were fit using square root transformation of field AG

Published
2022

5. Pantropical modelling of canopy functional traits using Sentinel-2 remote sensing data

Author

Aguirre-Gutiérrez, J., Rifai, S., Shenkin, A., Oliveras, I., Bentley, L.P., Svátek, M., Girardin, C.A.J., Both, S., Riutta, T., Berenguer, E., Kissling, W.D., Bauman, D., Raab, N., Moore, S., Farfan-Rios, W., Figueiredo, A.E.S., Reis, S.M., Ndong, J.E., Ondo, F.E., N'ssi Bengone, N., Mihindou, V., Moraes de Seixas, M.M., Adu-Bredu, S., Abernethy, K., Asner, G.P., Barlow, J., Burslem, D.F.R.P., Coomes, D.A., Cernusak, L.A., Dargie, G.C., Enquist, B.J., Ewers, R.M., Ferreira, J., Jeffery, K.J., Joly, C.A., Lewis, S.L., Marimon-Junior, B.H., Martin, R.E., Morandi, P.S., Phillips, O.L., Quesada, C.A., Salinas, N., Schwantes Marimon, B., Silman, M., Teh, Y.A., White, L.J.T., Malhi, Y., Aguirre-Gutiérrez, J., Rifai, S., Shenkin, A., Oliveras, I., Bentley, L.P., Svátek, M., Girardin, C.A.J., Both, S., Riutta, T., Berenguer, E., Kissling, W.D., Bauman, D., Raab, N., Moore, S., Farfan-Rios, W., Figueiredo, A.E.S., Reis, S.M., Ndong, J.E., Ondo, F.E., N'ssi Bengone, N., Mihindou, V., Moraes de Seixas, M.M., Adu-Bredu, S., Abernethy, K., Asner, G.P., Barlow, J., Burslem, D.F.R.P., Coomes, D.A., Cernusak, L.A., Dargie, G.C., Enquist, B.J., Ewers, R.M., Ferreira, J., Jeffery, K.J., Joly, C.A., Lewis, S.L., Marimon-Junior, B.H., Martin, R.E., Morandi, P.S., Phillips, O.L., Quesada, C.A., Salinas, N., Schwantes Marimon, B., Silman, M., Teh, Y.A., White, L.J.T., and Malhi, Y.

Abstract

Tropical forest ecosystems are undergoing rapid transformation as a result of changing environmental conditions and direct human impacts. However, we cannot adequately understand, monitor or simulate tropical ecosystem responses to environmental changes without capturing the high diversity of plant functional characteristics in the species-rich tropics. Failure to do so can oversimplify our understanding of ecosystems responses to environmental disturbances. Innovative methods and data products are needed to track changes in functional trait composition in tropical forest ecosystems through time and space. This study aimed to track key functional traits by coupling Sentinel-2 derived variables with a unique data set of precisely located in-situ measurements of canopy functional traits collected from 2434 individual trees across the tropics using a standardised methodology. The functional traits and vegetation censuses were collected from 47 field plots in the countries of Australia, Brazil, Peru, Gabon, Ghana, and Malaysia, which span the four tropical continents. The spatial positions of individual trees above 10 cm diameter at breast height (DBH) were mapped and their canopy size and shape recorded. Using geo-located tree canopy size and shape data, community-level trait values were estimated at the same spatial resolution as Sentinel-2 imagery (i.e. 10 m pixels). We then used the Geographic Random Forest (GRF) to model and predict functional traits across our plots. We demonstrate that key plant functional traits can be accurately predicted across the tropicsusing the high spatial and spectral resolution of Sentinel-2 imagery in conjunction with climatic and soil information. Image textural parameters were found to be key components of remote sensing information for predicting functional traits across tropical forests and woody savannas. Leaf thickness (R2 = 0.52) obtained the highest prediction accuracy among the morphological and structural traits and leaf carb

Published
2021

6. Long-term thermal sensitivity of Earth's tropical forests

Author

Sullivan, M.J.P., Lewis, S.L., Affum-Baffoe, K., Castilho, C., Costa, F., Sanchez, A.C., Ewango, C.E.N., Hubau, W., Marimon, B., Monteagudo-Mendoza, A., Qie, L., Sonké, B., Martinez, R.V., Baker, T.R., Brienen, R.J.W., Feldpausch, T.R., Galbraith, D., Gloor, M., Malhi, Y., Aiba, S.-I., Alexiades, M.N., Almeida, E.C., de Oliveira, E.A., Dávila, E.Á., Loayza, P.A., Andrade, A., Vieira, S.A., Aragão, L.E.O.C., Araujo-Murakami, A., Arets, E.J.M.M., Arroyo, L., Ashton, P., Aymard C, G., Baccaro, F.B., Banin, L.F., Baraloto, C., Camargo, P.B., Barlow, J., Barroso, J., Bastin, J.-F., Batterman, S.A., Beeckman, H., Begne, S.K., Bennett, A.C., Berenguer, E., Berry, N., Blanc, L., Boeckx, P., Bogaert, J., Bonal, D., Bongers, F., Bradford, M., Brearley, F.Q., Brncic, T., Brown, F., Burban, B., Camargo, J.L., Castro, W., Céron, C., Ribeiro, S.C., Moscoso, V.C., Chave, J., Chezeaux, E., Clark, C.J., de Souza, F.C., Collins, M., Comiskey, J.A., Valverde, F.C., Medina, M.C., da Costa, L., Dančák, M., Dargie, G.C., Davies, S., Cardozo, N.D., de Haulleville, T., de Medeiros, M.B., Del Aguila Pasquel, J., Derroire, G., Di Fiore, A., Doucet, J.-L., Dourdain, A., Droissant, V., Duque, L.F., Ekoungoulou, R., Elias, F., Erwin, T., Esquivel-Muelbert, A., Fauset, S., Ferreira, J., Llampazo, G.F., Foli, E., Ford, A., Gilpin, M., Hall, J.S., Hamer, K.C., Hamilton, A.C., Harris, D.J., Hart, T.B., Hédl, R., Herault, B., Herrera, R., Higuchi, N., Hladik, A., Coronado, E.H., Huamantupa-Chuquimaco, I., Huasco, W.H., Jeffery, K.J., Jimenez-Rojas, E., Kalamandeen, M., Djuikouo, M.N.K., Kearsley, E., Umetsu, R.K., Kho, L.K., Killeen, T., Kitayama, K., Klitgaard, B., Koch, A., Labrière, N., Laurance, W., Laurance, S., Leal, M.E., Levesley, A., Lima, A.J.N., Lisingo, J., Lopes, A.P., Lopez-Gonzalez, G., Lovejoy, T., Lovett, J.C., Lowe, R., Magnusson, W.E., Malumbres-Olarte, J., Manzatto, ÂG., Marimon B.H., Jr, Marshall, A.R., Marthews, T., de Almeida Reis, S.M., Maycock, C., Melgaço, K., Mendoza, C., Metali, F., Mihindou, V., Milliken, W., Mitchard, E.T.A., Morandi, P.S., Mossman, H.L., Nagy, L., Nascimento, H., Neill, D., Nilus, R., Vargas, P.N., Palacios, W., Camacho, N.P., Peacock, J., Pendry, C., Peñuela Mora, M.C., Pickavance, G.C., Pipoly, J., Pitman, N., Playfair, M., Poorter, L., Poulsen, J.R., Poulsen, A.D., Preziosi, R., Prieto, A., Primack, R.B., Ramírez-Angulo, H., Reitsma, J., Réjou-Méchain, M., Correa, Z.R., de Sousa, T.R., Bayona, L.R., Roopsind, A., Rudas, A., Rutishauser, E., Abu Salim, K., Salomão, R.P., Schietti, J., Sheil, D., Silva, R.C., Espejo, J.S., Valeria, C.S., Silveira, M., Simo-Droissart, M., Simon, M.F., Singh, J., Soto Shareva, Y.C., Stahl, C., Stropp, J., Sukri, R., Sunderland, T., Svátek, M., Swaine, M.D., Swamy, V., Taedoumg, H., Talbot, J., Taplin, J., Taylor, D., Ter Steege, H., Terborgh, J., Thomas, R., Thomas, S.C., Torres-Lezama, A., Umunay, P., Gamarra, L.V., van der Heijden, G., van der Hout, P., van der Meer, P., van Nieuwstadt, M., Verbeeck, H., Vernimmen, R., Vicentini, A., Vieira, I.C.G., Torre, E.V., Vleminckx, J., Vos, V., Wang, O., White, L.J.T., Willcock, S., Woods, J.T., Wortel, V., Young, K., Zagt, R., Zemagho, L., Zuidema, P.A., Zwerts, J.A., Phillips, O.L., Sullivan, M.J.P., Lewis, S.L., Affum-Baffoe, K., Castilho, C., Costa, F., Sanchez, A.C., Ewango, C.E.N., Hubau, W., Marimon, B., Monteagudo-Mendoza, A., Qie, L., Sonké, B., Martinez, R.V., Baker, T.R., Brienen, R.J.W., Feldpausch, T.R., Galbraith, D., Gloor, M., Malhi, Y., Aiba, S.-I., Alexiades, M.N., Almeida, E.C., de Oliveira, E.A., Dávila, E.Á., Loayza, P.A., Andrade, A., Vieira, S.A., Aragão, L.E.O.C., Araujo-Murakami, A., Arets, E.J.M.M., Arroyo, L., Ashton, P., Aymard C, G., Baccaro, F.B., Banin, L.F., Baraloto, C., Camargo, P.B., Barlow, J., Barroso, J., Bastin, J.-F., Batterman, S.A., Beeckman, H., Begne, S.K., Bennett, A.C., Berenguer, E., Berry, N., Blanc, L., Boeckx, P., Bogaert, J., Bonal, D., Bongers, F., Bradford, M., Brearley, F.Q., Brncic, T., Brown, F., Burban, B., Camargo, J.L., Castro, W., Céron, C., Ribeiro, S.C., Moscoso, V.C., Chave, J., Chezeaux, E., Clark, C.J., de Souza, F.C., Collins, M., Comiskey, J.A., Valverde, F.C., Medina, M.C., da Costa, L., Dančák, M., Dargie, G.C., Davies, S., Cardozo, N.D., de Haulleville, T., de Medeiros, M.B., Del Aguila Pasquel, J., Derroire, G., Di Fiore, A., Doucet, J.-L., Dourdain, A., Droissant, V., Duque, L.F., Ekoungoulou, R., Elias, F., Erwin, T., Esquivel-Muelbert, A., Fauset, S., Ferreira, J., Llampazo, G.F., Foli, E., Ford, A., Gilpin, M., Hall, J.S., Hamer, K.C., Hamilton, A.C., Harris, D.J., Hart, T.B., Hédl, R., Herault, B., Herrera, R., Higuchi, N., Hladik, A., Coronado, E.H., Huamantupa-Chuquimaco, I., Huasco, W.H., Jeffery, K.J., Jimenez-Rojas, E., Kalamandeen, M., Djuikouo, M.N.K., Kearsley, E., Umetsu, R.K., Kho, L.K., Killeen, T., Kitayama, K., Klitgaard, B., Koch, A., Labrière, N., Laurance, W., Laurance, S., Leal, M.E., Levesley, A., Lima, A.J.N., Lisingo, J., Lopes, A.P., Lopez-Gonzalez, G., Lovejoy, T., Lovett, J.C., Lowe, R., Magnusson, W.E., Malumbres-Olarte, J., Manzatto, ÂG., Marimon B.H., Jr, Marshall, A.R., Marthews, T., de Almeida Reis, S.M., Maycock, C., Melgaço, K., Mendoza, C., Metali, F., Mihindou, V., Milliken, W., Mitchard, E.T.A., Morandi, P.S., Mossman, H.L., Nagy, L., Nascimento, H., Neill, D., Nilus, R., Vargas, P.N., Palacios, W., Camacho, N.P., Peacock, J., Pendry, C., Peñuela Mora, M.C., Pickavance, G.C., Pipoly, J., Pitman, N., Playfair, M., Poorter, L., Poulsen, J.R., Poulsen, A.D., Preziosi, R., Prieto, A., Primack, R.B., Ramírez-Angulo, H., Reitsma, J., Réjou-Méchain, M., Correa, Z.R., de Sousa, T.R., Bayona, L.R., Roopsind, A., Rudas, A., Rutishauser, E., Abu Salim, K., Salomão, R.P., Schietti, J., Sheil, D., Silva, R.C., Espejo, J.S., Valeria, C.S., Silveira, M., Simo-Droissart, M., Simon, M.F., Singh, J., Soto Shareva, Y.C., Stahl, C., Stropp, J., Sukri, R., Sunderland, T., Svátek, M., Swaine, M.D., Swamy, V., Taedoumg, H., Talbot, J., Taplin, J., Taylor, D., Ter Steege, H., Terborgh, J., Thomas, R., Thomas, S.C., Torres-Lezama, A., Umunay, P., Gamarra, L.V., van der Heijden, G., van der Hout, P., van der Meer, P., van Nieuwstadt, M., Verbeeck, H., Vernimmen, R., Vicentini, A., Vieira, I.C.G., Torre, E.V., Vleminckx, J., Vos, V., Wang, O., White, L.J.T., Willcock, S., Woods, J.T., Wortel, V., Young, K., Zagt, R., Zemagho, L., Zuidema, P.A., Zwerts, J.A., and Phillips, O.L.

Abstract

The sensitivity of tropical forest carbon to climate is a key uncertainty in predicting global climate change. Although short-term drying and warming are known to affect forests, it is unknown if such effects translate into long-term responses. Here, we analyze 590 permanent plots measured across the tropics to derive the equilibrium climate controls on forest carbon. Maximum temperature is the most important predictor of aboveground biomass (-9.1 megagrams of carbon per hectare per degree Celsius), primarily by reducing woody productivity, and has a greater impact per °C in the hottest forests (>32.2°C). Our results nevertheless reveal greater thermal resilience than observations of short-term variation imply. To realize the long-term climate adaptation potential of tropical forests requires both protecting them and stabilizing Earth's climate.

Published
2020

7. The persistence of carbon in the African forest understory

Author

Hubau, Wannes, De Mil, Tom, Van Den Bulcke, Jan, Phillips, Oliver O.L., Angoboy Ilondea, B., Van Acker, J., Sullivan, M.J.P., Nsenga, L., Toirambe, B., Couralet, C., Banin, L.F., Begne, S.K., Baker, Timothy T.R., Bourland, Nils, Chezeaux, E., Clark, C.J., Collins, M., Comiskey, J.A., Cuni-Sanchez, A., Deklerck, Victor, Dierickx, S., Doucet, Jean-Louis, Ewango, C.E.N., Feldpausch, T.R., Gilpin, M., Gonmadje, Christelle Flore, Hall, J.S., Harris, D.J., Hardy, Olivier J., Kamdem, M.-N.D., Kasongo Yakusu, Emmanuel, Lopez-Gonzalez, G, Makana, J.-R., Malhi, Yadvinder, Mbayu, F.M., Moore, S., Mukinzi, J., Pickavance, G., Poulsen, J.R., Reitsma, Jan, Rousseau, M., Sonke, Bonaventure, Sunderland, T., Taedoumg, Hermann, Talbot, J., Tshibamba Mukendi, John, Umunay, P.M., Vleminckx, Jason, White, L.J.T., Zemagho, Lise L.A., Lewis, Simon S.L., Beeckman, Hans, Hubau, Wannes, De Mil, Tom, Van Den Bulcke, Jan, Phillips, Oliver O.L., Angoboy Ilondea, B., Van Acker, J., Sullivan, M.J.P., Nsenga, L., Toirambe, B., Couralet, C., Banin, L.F., Begne, S.K., Baker, Timothy T.R., Bourland, Nils, Chezeaux, E., Clark, C.J., Collins, M., Comiskey, J.A., Cuni-Sanchez, A., Deklerck, Victor, Dierickx, S., Doucet, Jean-Louis, Ewango, C.E.N., Feldpausch, T.R., Gilpin, M., Gonmadje, Christelle Flore, Hall, J.S., Harris, D.J., Hardy, Olivier J., Kamdem, M.-N.D., Kasongo Yakusu, Emmanuel, Lopez-Gonzalez, G, Makana, J.-R., Malhi, Yadvinder, Mbayu, F.M., Moore, S., Mukinzi, J., Pickavance, G., Poulsen, J.R., Reitsma, Jan, Rousseau, M., Sonke, Bonaventure, Sunderland, T., Taedoumg, Hermann, Talbot, J., Tshibamba Mukendi, John, Umunay, P.M., Vleminckx, Jason, White, L.J.T., Zemagho, Lise L.A., Lewis, Simon S.L., and Beeckman, Hans

Abstract

Quantifying carbon dynamics in forests is critical for understanding their role in long-term climate regulation 1–4 .Yet little is known about tree longevity in tropical forests 3,5–8 ,a factor that is vital for estimating carbon persistence 3,4 .Here we calculate mean carbon age (the period that carbon is fixed in trees 7 ) in different strata of African tropical forests using (1) growth-ring records with a unique timestamp accurately demarcating 66 years of growth in one site and (2) measurements of diameter increments from the African Tropical Rainforest Observation Network (23 sites). We find that in spite of their much smaller size, in understory trees mean carbon age (74 years) is greater than in sub-canopy (54 years) and canopy (57 years) trees and similar to carbon age in emergent trees (66 years). The remarkable carbon longevity in the understory results from slow and aperiodic growth as an adaptation to limited resource availability 9–11 .Our analysis also reveals that while the understory represents a small share (11%) of the carbon stock 12,13 ,it contributes disproportionally to the forest carbon sink (20%). We conclude that accounting for the diversity of carbon age and carbon sequestration among different forest strata is critical for effective conservation management 14–16 and for accurate modelling of carbon cycling 4 .© 2019, The Author(s), under exclusive licence to Springer Nature Limited., SCOPUS: le.j, info:eu-repo/semantics/published

Published
2019

8. The number of tree species on Earth

Author

Roberto Cazzolla Gatti, Peter B. Reich, Javier G. P. Gamarra, Tom Crowther, Cang Hui, Albert Morera, Jean-Francois Bastin, Sergio de-Miguel, Gert-Jan Nabuurs, Jens-Christian Svenning, Josep M. Serra-Diaz, Cory Merow, Brian Enquist, Maria Kamenetsky, Junho Lee, Jun Zhu, Jinyun Fang, Douglass F. Jacobs, Bryan Pijanowski, Arindam Banerjee, Robert A. Giaquinto, Giorgio Alberti, Angelica Maria Almeyda Zambrano, Esteban Alvarez-Davila, Alejandro Araujo-Murakami, Valerio Avitabile, Gerardo A. Aymard, Radomir Balazy, Chris Baraloto, Jorcely G. Barroso, Meredith L. Bastian, Philippe Birnbaum, Robert Bitariho, Jan Bogaert, Frans Bongers, Olivier Bouriaud, Pedro H. S. Brancalion, Francis Q. Brearley, Eben North Broadbent, Filippo Bussotti, Wendeson Castro da Silva, Ricardo Gomes César, Goran Češljar, Víctor Chama Moscoso, Han Y. H. Chen, Emil Cienciala, Connie J. Clark, David A. Coomes, Selvadurai Dayanandan, Mathieu Decuyper, Laura E. Dee, Jhon Del Aguila Pasquel, Géraldine Derroire, Marie Noel Kamdem Djuikouo, Tran Van Do, Jiri Dolezal, Ilija Đ. Đorđević, Julien Engel, Tom M. Fayle, Ted R. Feldpausch, Jonas K. Fridman, David J. Harris, Andreas Hemp, Geerten Hengeveld, Bruno Herault, Martin Herold, Thomas Ibanez, Andrzej M. Jagodzinski, Bogdan Jaroszewicz, Kathryn J. Jeffery, Vivian Kvist Johannsen, Tommaso Jucker, Ahto Kangur, Victor N. Karminov, Kuswata Kartawinata, Deborah K. Kennard, Sebastian Kepfer-Rojas, Gunnar Keppel, Mohammed Latif Khan, Pramod Kumar Khare, Timothy J. Kileen, Hyun Seok Kim, Henn Korjus, Amit Kumar, Ashwani Kumar, Diana Laarmann, Nicolas Labrière, Mait Lang, Simon L. Lewis, Natalia Lukina, Brian S. Maitner, Yadvinder Malhi, Andrew R. Marshall, Olga V. Martynenko, Abel L. Monteagudo Mendoza, Petr V. Ontikov, Edgar Ortiz-Malavasi, Nadir C. Pallqui Camacho, Alain Paquette, Minjee Park, Narayanaswamy Parthasarathy, Pablo Luis Peri, Pascal Petronelli, Sebastian Pfautsch, Oliver L. Phillips, Nicolas Picard, Daniel Piotto, Lourens Poorter, John R. Poulsen, Hans Pretzsch, Hirma Ramírez-Angulo, Zorayda Restrepo Correa, Mirco Rodeghiero, Rocío Del Pilar Rojas Gonzáles, Samir G. Rolim, Francesco Rovero, Ervan Rutishauser, Purabi Saikia, Christian Salas-Eljatib, Dmitry Schepaschenko, Michael Scherer-Lorenzen, Vladimír Šebeň, Marcos Silveira, Ferry Slik, Bonaventure Sonké, Alexandre F. Souza, Krzysztof Jan Stereńczak, Miroslav Svoboda, Hermann Taedoumg, Nadja Tchebakova, John Terborgh, Elena Tikhonova, Armando Torres-Lezama, Fons van der Plas, Rodolfo Vásquez, Helder Viana, Alexander C. Vibrans, Emilio Vilanova, Vincent A. Vos, Hua-Feng Wang, Bertil Westerlund, Lee J. T. White, Susan K. Wiser, Tomasz Zawiła-Niedźwiecki, Lise Zemagho, Zhi-Xin Zhu, Irié C. Zo-Bi, Jingjing Liang, Cazzolla Gatti, Roberto, Reich, Peter B, Gamarra, Javier GP, Crowther, Tom, Keppel, Gunnar, Liang, Jingjing, Cazzolla Gatti R., Reich P.B., Gamarra J.G.P., Crowther T., Hui C., Morera A., Bastin J.-F., de-Miguel S., Nabuurs G.-J., Svenning J.-C., Serra-Diaz J.M., Merow C., Enquist B., Kamenetsky M., Lee J., Zhu J., Fang J., Jacobs D.F., Pijanowski B., Banerjee A., Giaquinto R.A., Alberti G., Almeyda Zambrano A.M., Alvarez-Davila E., Araujo-Murakami A., Avitabile V., Aymard G.A., Balazy R., Baraloto C., Barroso J.G., Bastian M.L., Birnbaum P., Bitariho R., Bogaert J., Bongers F., Bouriaud O., Brancalion P.H.S., Brearley F.Q., Broadbent E.N., Bussotti F., Castro da Silva W., Cesar R.G., Cesljar G., Chama Moscoso V., Chen H.Y.H., Cienciala E., Clark C.J., Coomes D.A., Dayanandan S., Decuyper M., Dee L.E., Del Aguila Pasquel J., Derroire G., Djuikouo M.N.K., Van Do T., Dolezal J., Dordevic I.D., Engel J., Fayle T.M., Feldpausch T.R., Fridman J.K., Harris D.J., Hemp A., Hengeveld G., Herault B., Herold M., Ibanez T., Jagodzinski A.M., Jaroszewicz B., Jeffery K.J., Johannsen V.K., Jucker T., Kangur A., Karminov V.N., Kartawinata K., Kennard D.K., Kepfer-Rojas S., Keppel G., Khan M.L., Khare P.K., Kileen T.J., Kim H.S., Korjus H., Kumar A., Laarmann D., Labriere N., Lang M., Lewis S.L., Lukina N., Maitner B.S., Malhi Y., Marshall A.R., Martynenko O.V., Monteagudo Mendoza A.L., Ontikov P.V., Ortiz-Malavasi E., Pallqui Camacho N.C., Paquette A., Park M., Parthasarathy N., Peri P.L., Petronelli P., Pfautsch S., Phillips O.L., Picard N., Piotto D., Poorter L., Poulsen J.R., Pretzsch H., Ramirez-Angulo H., Restrepo Correa Z., Rodeghiero M., Rojas Gonzales R.D.P., Rolim S.G., Rovero F., Rutishauser E., Saikia P., Salas-Eljatib C., Schepaschenko D., Scherer-Lorenzen M., Seben V., Silveira M., Slik F., Sonke B., Souza A.F., Sterenczak K.J., Svoboda M., Taedoumg H., Tchebakova N., Terborgh J., Tikhonova E., Torres-Lezama A., van der Plas F., Vasquez R., Viana H., Vibrans A.C., Vilanova E., Vos V.A., Wang H.-F., Westerlund B., White L.J.T., Wiser S.K., Zawila-Niedzwiecki T., Zemagho L., Zhu Z.-X., Zo-Bi I.C., Liang J., Purdue University [West Lafayette], University of Wisconsin-Madison, FAO Forestry, Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), SILVA (SILVA), AgroParisTech-Université de Lorraine (UL)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université de Montpellier (UM), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Institut de Recherche pour le Développement (IRD [Nouvelle-Calédonie]), Cazzolla Gatti, Roberto [0000-0001-5130-8492], Reich, Peter B [0000-0003-4424-662X], Hui, Cang [0000-0002-3660-8160], Morera, Albert [0000-0002-6777-169X], de-Miguel, Sergio [0000-0002-9738-0657], Svenning, Jens-Christian [0000-0002-3415-0862], Serra-Diaz, Josep M [0000-0003-1988-1154], Alberti, Giorgio [0000-0003-2422-3009], Bongers, Frans [0000-0002-8431-6189], Bouriaud, Olivier [0000-0002-8046-466X], Brancalion, Pedro HS [0000-0001-8245-4062], César, Ricardo Gomes [0000-0002-3392-8089], Chen, Han YH [0000-0001-9477-5541], Cienciala, Emil [0000-0002-1254-4254], Coomes, David [0000-0002-8261-2582], Djuikouo, Marie Noel Kamdem [0000-0003-0064-5151], Van Do, Tran [0000-0001-9059-5842], Feldpausch, Ted R [0000-0002-6631-7962], Jaroszewicz, Bogdan [0000-0002-2042-8245], Jeffery, Kathryn J [0000-0002-2632-0008], Kennard, Deborah K [0000-0003-4842-8260], Kim, Hyun Seok [0000-0002-3440-6071], Labrière, Nicolas [0000-0002-8037-2001], Maitner, Brian S [0000-0002-2118-9880], Malhi, Yadvinder [0000-0002-3503-4783], Peri, Pablo Luis [0000-0002-5398-4408], Phillips, Oliver L [0000-0002-8993-6168], Poorter, Lourens [0000-0003-1391-4875], Poulsen, John R [0000-0002-1532-9808], Salas-Eljatib, Christian [0000-0002-8468-0829], Schepaschenko, Dmitry [0000-0002-7814-4990], Silveira, Marcos [0000-0003-0485-7872], Slik, Ferry [0000-0003-3988-7019], Sonké, Bonaventure [0000-0002-4310-3603], Terborgh, John [0000-0003-1853-8311], Wiser, Susan K [0000-0002-8938-8181], Liang, Jingjing [0000-0001-9439-9320], Apollo - University of Cambridge Repository, and Coomes, David A [0000-0002-8261-2582]

Subjects
Cambios Antropogénicos, Richness, SAMPLE, Earth, Planet, Rarity, Bos- en Landschapsecologie, DIVERSITY, Forests, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Trees, forest, Bioma, Laboratory of Geo-information Science and Remote Sensing, Biome, espèce (taxon), HETEROGENEITY, Forest and Landscape Ecology, Forest Biodiversity, hyperdominance, Riqueza de Especies, Ecosystem Services, biodiversity, forests, hyperdominance, rarity, richness, biodiversity, Multidisciplinary, Hyperdominance, Overall Scale, F70 - Taxonomie végétale et phytogéographie, Biodiversity, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, Écologie des populations, PE&RC, COVERAGE, Boscos i silvicultura, Biometris, Forest Ecosystems, ABUNDANCE, Anthropogenic Changes, Vegetatie, Bos- en Landschapsecologie, Biodiversité, леса, Conservation of Natural Resources, F40 - Écologie végétale, Servicios de los Ecosistemas, Vulnerability, ECOLOGIA DE POPULAÇÕES, Arbre, ECOLOGY, Biodiversidad, forests, rarity, richness, Ecosistemas Forestales, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, COMPLETENESS, Árboles, Settore BIO/07 - ECOLOGIA, Richness Species, Bosecologie en Bosbeheer, Laboratorium voor Geo-informatiekunde en Remote Sensing, K70 - Dégâts causés aux forêts et leur protection, Biodiversidad Forestal, Escala Global, Vegetatie, деревья, Vegetation, Forest Ecology and Forest Management, biodiversité forestière, биоразнообразие, PATTERNS, Vegetation, Forest and Landscape Ecology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Vulnerabilidad
Abstract

One of the most fundamental questions in ecology is how many species inhabit the Earth. However, due to massive logistical and financial challenges and taxonomic difficulties connected to the species concept definition, the global numbers of species, including those of important and well-studied life forms such as trees, still remain largely unknown. Here, based on global ground-sourced data, we estimate the total tree species richness at global, continental, and biome levels. Our results indicate that there are ∼73,000 tree species globally, among which ∼9,000 tree species are yet to be discovered. Roughly 40% of undiscovered tree species are in South America. Moreover, almost one-third of all tree species to be discovered may be rare, with very low populations and limited spatial distribution (likely in remote tropical lowlands and mountains). These findings highlight the vulnerability of global forest biodiversity to anthropogenic changes in land use and climate, which disproportionately threaten rare species and thus, global tree richness., Proceedings of the National Academy of Sciences of the United States of America, 119 (6), ISSN:0027-8424, ISSN:1091-6490

Published
2022
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