Search

Your search keyword '"Llampazo GF"' showing total 7 results
Start Over Author "Llampazo GF" Publication Year Range Last 50 years
7 results on '"Llampazo GF"'

1. Author Correction: Tree mode of death and mortality risk factors across Amazon forests (Nature Communications, (2020), 11, 1, (5515), 10.1038/s41467-020-18996-3)

Author

Esquivel-Muelbert, A, Phillips, OL, Brienen, RJW, Fauset, S, Sullivan, MJP, Baker, TR, Chao, KJ, Feldpausch, TR, Gloor, E, Higuchi, N, Houwing-Duistermaat, J, Lloyd, J, Liu, H, Malhi, Y, Marimon, B, Marimon Junior, BH, Monteagudo-Mendoza, A, Poorter, L, Silveira, M, Torre, EV, Dávila, EA, del Aguila Pasquel, J, Almeida, E, Loayza, PA, Andrade, A, Aragão, LEOC, Araujo-Murakami, A, Arets, E, Arroyo, L, Aymard C, GA, Baisie, M, Baraloto, C, Camargo, PB, Barroso, J, Blanc, L, Bonal, D, Bongers, F, Boot, R, Brown, F, Burban, B, Camargo, JL, Castro, W, Moscoso, VC, Chave, J, Comiskey, J, Valverde, FC, da Costa, AL, Cardozo, ND, Di Fiore, A, Dourdain, A, Erwin, T, Llampazo, GF, Vieira, ICG, Herrera, R, Honorio Coronado, E, Huamantupa-Chuquimaco, I, Jimenez-Rojas, E, Killeen, T, Laurance, S, Laurance, W, Levesley, A, Lewis, SL, Ladvocat, KLLM, Lopez-Gonzalez, G, Lovejoy, T, Meir, P, Mendoza, C, Morandi, P, Neill, D, Nogueira Lima, AJ, Vargas, PN, de Oliveira, EA, Camacho, NP, Pardo, G, Peacock, J, Peña-Claros, M, Peñuela-Mora, MC, Pickavance, G, Pipoly, J, Pitman, N, Prieto, A, Pugh, TAM, Quesada, C, Ramirez-Angulo, H, de Almeida Reis, SM, Rejou-Machain, M, Correa, ZR, Bayona, LR, Rudas, A, Salomão, R, Serrano, J, Espejo, JS, Silva, N, Singh, J, Stahl, C, Stropp, J, Swamy, V, Talbot, J, ter Steege, H, and Terborgh, J

Abstract

The original version of this Article contained an error in Table 2, where the number of individuals in the “All Amazonia” row was reported as 11,6431 instead of 116,431. Also, the original version of this Article contained an error in the Methods, where the R2 for the proportion of broken/uprooted dead trees increase per year was reported as 0.12, the correct value being 0.06. The original version of this Article contained errors in the author affiliations. The affiliation of Gerardo A. Aymard C. with UNELLEZGuanare, Herbario Universitario (PORT), Portuguesa, Venezuela Compensation International Progress S.A. Ciprogress–Greenlife.

Published
2021

2. Understanding different dominance patterns in western Amazonian forests.

Author

Matas-Granados L, Draper FC, Cayuela L, de Aledo JG, Arellano G, Saadi CB, Baker TR, Phillips OL, Honorio Coronado EN, Ruokolainen K, García-Villacorta R, Roucoux KH, Guèze M, Sandoval EV, Fine PVA, Amasifuen Guerra CA, Gomez RZ, Stevenson Diaz PR, Monteagudo-Mendoza A, Martinez RV, Socolar JB, Disney M, Del Aguila Pasquel J, Llampazo GF, Arenas JV, Huaymacari JR, Grandez Rios JM, and Macía MJ

Subjects
Humans, Trees, Brazil, Biodiversity, Ecosystem, Forests
Abstract

Dominance of neotropical tree communities by a few species is widely documented, but dominant trees show a variety of distributional patterns still poorly understood. Here, we used 503 forest inventory plots (93,719 individuals ≥2.5 cm diameter, 2609 species) to explore the relationships between local abundance, regional frequency and spatial aggregation of dominant species in four main habitat types in western Amazonia. Although the abundance-occupancy relationship is positive for the full dataset, we found that among dominant Amazonian tree species, there is a strong negative relationship between local abundance and regional frequency and/or spatial aggregation across habitat types. Our findings suggest an ecological trade-off whereby dominant species can be locally abundant (local dominants) or regionally widespread (widespread dominants), but rarely both (oligarchs). Given the importance of dominant species as drivers of diversity and ecosystem functioning, unravelling different dominance patterns is a research priority to direct conservation efforts in Amazonian forests., (© 2023 The Authors. Ecology Letters published by John Wiley & Sons Ltd.)

Published
2024
Full Text
View/download PDF

3. Amazon tree dominance across forest strata.

Author

Draper FC, Costa FRC, Arellano G, Phillips OL, Duque A, Macía MJ, Ter Steege H, Asner GP, Berenguer E, Schietti J, Socolar JB, de Souza FC, Dexter KG, Jørgensen PM, Tello JS, Magnusson WE, Baker TR, Castilho CV, Monteagudo-Mendoza A, Fine PVA, Ruokolainen K, Coronado ENH, Aymard G, Dávila N, Sáenz MS, Paredes MAR, Engel J, Fortunel C, Paine CET, Goret JY, Dourdain A, Petronelli P, Allie E, Andino JEG, Brienen RJW, Pérez LC, Manzatto ÂG, Zambrana NYP, Molino JF, Sabatier D, Chave J, Fauset S, Villacorta RG, Réjou-Méchain M, Berry PE, Melgaço K, Feldpausch TR, Sandoval EV, Martinez RV, Mesones I, Junqueira AB, Roucoux KH, de Toledo JJ, Andrade AC, Camargo JL, Del Aguila Pasquel J, Santana FD, Laurance WF, Laurance SG, Lovejoy TE, Comiskey JA, Galbraith DR, Kalamandeen M, Aguilar GEN, Arenas JV, Guerra CAA, Flores M, Llampazo GF, Montenegro LAT, Gomez RZ, Pansonato MP, Moscoso VC, Vleminckx J, Barrantes OJV, Duivenvoorden JF, de Sousa SA, Arroyo L, Perdiz RO, Cravo JS, Marimon BS, Junior BHM, Carvalho FA, Damasco G, Disney M, Vital MS, Diaz PRS, Vicentini A, Nascimento H, Higuchi N, Van Andel T, Malhi Y, Ribeiro SC, Terborgh JW, Thomas RS, Dallmeier F, Prieto A, Hilário RR, Salomão RP, Silva RDC, Casas LF, Vieira ICG, Araujo-Murakami A, Arevalo FR, Ramírez-Angulo H, Torre EV, Peñuela MC, Killeen TJ, Pardo G, Jimenez-Rojas E, Castro W, Cabrera DG, Pipoly J, de Sousa TR, Silvera M, Vos V, Neill D, Vargas PN, Vela DM, Aragão LEOC, Umetsu RK, Sierra R, Wang O, Young KR, Prestes NCCS, Massi KG, Huaymacari JR, Gutierrez GAP, Aldana AM, Alexiades MN, Baccaro F, Céron C, Muelbert AE, Rios JMG, Lima AS, Lloyd JL, Pitman NCA, Gamarra LV, Oroche CJC, Fuentes AF, Palacios W, Patiño S, Torres-Lezama A, and Baraloto C

Subjects
Biodiversity, Brazil, Humans, Forests, Trees
Abstract

The forests of Amazonia are among the most biodiverse plant communities on Earth. Given the immediate threats posed by climate and land-use change, an improved understanding of how this extraordinary biodiversity is spatially organized is urgently required to develop effective conservation strategies. Most Amazonian tree species are extremely rare but a few are common across the region. Indeed, just 227 'hyperdominant' species account for >50% of all individuals >10 cm diameter at 1.3 m in height. Yet, the degree to which the phenomenon of hyperdominance is sensitive to tree size, the extent to which the composition of dominant species changes with size class and how evolutionary history constrains tree hyperdominance, all remain unknown. Here, we use a large floristic dataset to show that, while hyperdominance is a universal phenomenon across forest strata, different species dominate the forest understory, midstory and canopy. We further find that, although species belonging to a range of phylogenetically dispersed lineages have become hyperdominant in small size classes, hyperdominants in large size classes are restricted to a few lineages. Our results demonstrate that it is essential to consider all forest strata to understand regional patterns of dominance and composition in Amazonia. More generally, through the lens of 654 hyperdominant species, we outline a tractable pathway for understanding the functioning of half of Amazonian forests across vertical strata and geographical locations.

Published
2021
Full Text
View/download PDF

4. Non-structural carbohydrates mediate seasonal water stress across Amazon forests.

Author

Signori-Müller C, Oliveira RS, Barros FV, Tavares JV, Gilpin M, Diniz FC, Zevallos MJM, Yupayccana CAS, Acosta M, Bacca J, Chino RSC, Cuellar GMA, Cumapa ERM, Martinez F, Mullisaca FMP, Nina A, Sanchez JMB, da Silva LF, Tello L, Tintaya JS, Ugarteche MTM, Baker TR, Bittencourt PRL, Borma LS, Brum M, Castro W, Coronado ENH, Cosio EG, Feldpausch TR, Fonseca LDM, Gloor E, Llampazo GF, Malhi Y, Mendoza AM, Moscoso VC, Araujo-Murakami A, Phillips OL, Salinas N, Silveira M, Talbot J, Vasquez R, Mencuccini M, and Galbraith D

Subjects
Bolivia, Brazil, Carbohydrate Metabolism, Climate Change, Geography, Peru, Plant Leaves metabolism, Sugars metabolism, Trees classification, Tropical Climate, Carbohydrates analysis, Droughts, Forests, Seasons, Trees metabolism, Water metabolism
Abstract

Non-structural carbohydrates (NSC) are major substrates for plant metabolism and have been implicated in mediating drought-induced tree mortality. Despite their significance, NSC dynamics in tropical forests remain little studied. We present leaf and branch NSC data for 82 Amazon canopy tree species in six sites spanning a broad precipitation gradient. During the wet season, total NSC (NSC T ) concentrations in both organs were remarkably similar across communities. However, NSC T and its soluble sugar (SS) and starch components varied much more across sites during the dry season. Notably, the proportion of leaf NSC T in the form of SS (SS:NSC T ) increased greatly in the dry season in almost all species in the driest sites, implying an important role of SS in mediating water stress in these sites. This adjustment of leaf NSC balance was not observed in tree species less-adapted to water deficit, even under exceptionally dry conditions. Thus, leaf carbon metabolism may help to explain floristic sorting across water availability gradients in Amazonia and enable better prediction of forest responses to future climate change.

Published
2021
Full Text
View/download PDF

5. Author Correction: Tree mode of death and mortality risk factors across Amazon forests.

Author

Esquivel-Muelbert A, Phillips OL, Brienen RJW, Fauset S, Sullivan MJP, Baker TR, Chao KJ, Feldpausch TR, Gloor E, Higuchi N, Houwing-Duistermaat J, Lloyd J, Liu H, Malhi Y, Marimon B, Marimon Junior BH, Monteagudo-Mendoza A, Poorter L, Silveira M, Torre EV, Dávila EA, Del Aguila Pasquel J, Almeida E, Loayza PA, Andrade A, Aragão LEOC, Araujo-Murakami A, Arets E, Arroyo L, Aymard C GA, Baisie M, Baraloto C, Camargo PB, Barroso J, Blanc L, Bonal D, Bongers F, Boot R, Brown F, Burban B, Camargo JL, Castro W, Moscoso VC, Chave J, Comiskey J, Valverde FC, da Costa AL, Cardozo ND, Di Fiore A, Dourdain A, Erwin T, Llampazo GF, Vieira ICG, Herrera R, Honorio Coronado E, Huamantupa-Chuquimaco I, Jimenez-Rojas E, Killeen T, Laurance S, Laurance W, Levesley A, Lewis SL, Ladvocat KLLM, Lopez-Gonzalez G, Lovejoy T, Meir P, Mendoza C, Morandi P, Neill D, Nogueira Lima AJ, Vargas PN, de Oliveira EA, Camacho NP, Pardo G, Peacock J, Peña-Claros M, Peñuela-Mora MC, Pickavance G, Pipoly J, Pitman N, Prieto A, Pugh TAM, Quesada C, Ramirez-Angulo H, de Almeida Reis SM, Rejou-Machain M, Correa ZR, Bayona LR, Rudas A, Salomão R, Serrano J, Espejo JS, Silva N, Singh J, Stahl C, Stropp J, Swamy V, Talbot J, Ter Steege H, Terborgh J, Thomas R, Toledo M, Torres-Lezama A, Gamarra LV, van der Heijden G, van der Meer P, van der Hout P, Martinez RV, Vieira SA, Cayo JV, Vos V, Zagt R, Zuidema P, and Galbraith D

Published
2021
Full Text
View/download PDF

6. Tree mode of death and mortality risk factors across Amazon forests.

Author

Esquivel-Muelbert A, Phillips OL, Brienen RJW, Fauset S, Sullivan MJP, Baker TR, Chao KJ, Feldpausch TR, Gloor E, Higuchi N, Houwing-Duistermaat J, Lloyd J, Liu H, Malhi Y, Marimon B, Marimon Junior BH, Monteagudo-Mendoza A, Poorter L, Silveira M, Torre EV, Dávila EA, Del Aguila Pasquel J, Almeida E, Loayza PA, Andrade A, Aragão LEOC, Araujo-Murakami A, Arets E, Arroyo L, Aymard C GA, Baisie M, Baraloto C, Camargo PB, Barroso J, Blanc L, Bonal D, Bongers F, Boot R, Brown F, Burban B, Camargo JL, Castro W, Moscoso VC, Chave J, Comiskey J, Valverde FC, da Costa AL, Cardozo ND, Di Fiore A, Dourdain A, Erwin T, Llampazo GF, Vieira ICG, Herrera R, Honorio Coronado E, Huamantupa-Chuquimaco I, Jimenez-Rojas E, Killeen T, Laurance S, Laurance W, Levesley A, Lewis SL, Ladvocat KLLM, Lopez-Gonzalez G, Lovejoy T, Meir P, Mendoza C, Morandi P, Neill D, Nogueira Lima AJ, Vargas PN, de Oliveira EA, Camacho NP, Pardo G, Peacock J, Peña-Claros M, Peñuela-Mora MC, Pickavance G, Pipoly J, Pitman N, Prieto A, Pugh TAM, Quesada C, Ramirez-Angulo H, de Almeida Reis SM, Rejou-Machain M, Correa ZR, Bayona LR, Rudas A, Salomão R, Serrano J, Espejo JS, Silva N, Singh J, Stahl C, Stropp J, Swamy V, Talbot J, Ter Steege H, Terborgh J, Thomas R, Toledo M, Torres-Lezama A, Gamarra LV, van der Heijden G, van der Meer P, van der Hout P, Martinez RV, Vieira SA, Cayo JV, Vos V, Zagt R, Zuidema P, and Galbraith D

Subjects
Biomass, Brazil, Carbon Dioxide, Carbon Sequestration, Ecosystem, Environmental Monitoring, Models, Biological, Proportional Hazards Models, Risk Factors, Tropical Climate, Ecology, Forests, Trees growth & development
Abstract

The carbon sink capacity of tropical forests is substantially affected by tree mortality. However, the main drivers of tropical tree death remain largely unknown. Here we present a pan-Amazonian assessment of how and why trees die, analysing over 120,000 trees representing > 3800 species from 189 long-term RAINFOR forest plots. While tree mortality rates vary greatly Amazon-wide, on average trees are as likely to die standing as they are broken or uprooted-modes of death with different ecological consequences. Species-level growth rate is the single most important predictor of tree death in Amazonia, with faster-growing species being at higher risk. Within species, however, the slowest-growing trees are at greatest risk while the effect of tree size varies across the basin. In the driest Amazonian region species-level bioclimatic distributional patterns also predict the risk of death, suggesting that these forests are experiencing climatic conditions beyond their adaptative limits. These results provide not only a holistic pan-Amazonian picture of tree death but large-scale evidence for the overarching importance of the growth-survival trade-off in driving tropical tree mortality.

Published
2020
Full Text
View/download PDF

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

Author

Sullivan MJP, Lewis SL, Affum-Baffoe K, Castilho C, Costa F, Sanchez AC, Ewango CEN, Hubau W, Marimon B, Monteagudo-Mendoza A, Qie L, Sonké B, Martinez RV, Baker TR, Brienen RJW, Feldpausch TR, Galbraith D, Gloor M, Malhi Y, Aiba SI, Alexiades MN, Almeida EC, de Oliveira EA, Dávila EÁ, Loayza PA, Andrade A, Vieira SA, Aragão LEOC, Araujo-Murakami A, Arets EJMM, Arroyo L, Ashton P, Aymard C G, Baccaro FB, Banin LF, Baraloto C, Camargo PB, Barlow J, Barroso J, Bastin JF, Batterman SA, Beeckman H, Begne SK, Bennett AC, Berenguer E, Berry N, Blanc L, Boeckx P, Bogaert J, Bonal D, Bongers F, Bradford M, Brearley FQ, Brncic T, Brown F, Burban B, Camargo JL, Castro W, Céron C, Ribeiro SC, Moscoso VC, Chave J, Chezeaux E, Clark CJ, de Souza FC, Collins M, Comiskey JA, Valverde FC, Medina MC, da Costa L, Dančák M, Dargie GC, Davies S, Cardozo ND, de Haulleville T, de Medeiros MB, Del Aguila Pasquel J, Derroire G, Di Fiore A, Doucet JL, Dourdain A, Droissart V, Duque LF, Ekoungoulou R, Elias F, Erwin T, Esquivel-Muelbert A, Fauset S, Ferreira J, Llampazo GF, Foli E, Ford A, Gilpin M, Hall JS, Hamer KC, Hamilton AC, Harris DJ, Hart TB, Hédl R, Herault B, Herrera R, Higuchi N, Hladik A, Coronado EH, Huamantupa-Chuquimaco I, Huasco WH, Jeffery KJ, Jimenez-Rojas E, Kalamandeen M, Djuikouo MNK, Kearsley E, Umetsu RK, Kho LK, Killeen T, Kitayama K, Klitgaard B, Koch A, Labrière N, Laurance W, Laurance S, Leal ME, Levesley A, Lima AJN, Lisingo J, Lopes AP, Lopez-Gonzalez G, Lovejoy T, Lovett JC, Lowe R, Magnusson WE, Malumbres-Olarte J, Manzatto ÂG, Marimon BH Jr, Marshall AR, Marthews T, de Almeida Reis SM, Maycock C, Melgaço K, Mendoza C, Metali F, Mihindou V, Milliken W, Mitchard ETA, Morandi PS, Mossman HL, Nagy L, Nascimento H, Neill D, Nilus R, Vargas PN, Palacios W, Camacho NP, Peacock J, Pendry C, Peñuela Mora MC, Pickavance GC, Pipoly J, Pitman N, Playfair M, Poorter L, Poulsen JR, Poulsen AD, Preziosi R, Prieto A, Primack RB, Ramírez-Angulo H, Reitsma J, Réjou-Méchain M, Correa ZR, de Sousa TR, Bayona LR, Roopsind A, Rudas A, Rutishauser E, Abu Salim K, Salomão RP, Schietti J, Sheil D, Silva RC, Espejo JS, Valeria CS, Silveira M, Simo-Droissart M, Simon MF, Singh J, Soto Shareva YC, Stahl C, Stropp J, Sukri R, Sunderland T, Svátek M, Swaine MD, Swamy V, Taedoumg H, Talbot J, Taplin J, Taylor D, Ter Steege H, Terborgh J, Thomas R, Thomas SC, Torres-Lezama A, Umunay P, Gamarra LV, van der Heijden G, van der Hout P, van der Meer P, van Nieuwstadt M, Verbeeck H, Vernimmen R, Vicentini A, Vieira ICG, Torre EV, Vleminckx J, Vos V, Wang O, White LJT, Willcock S, Woods JT, Wortel V, Young K, Zagt R, Zemagho L, Zuidema PA, Zwerts JA, and Phillips OL

Subjects
Acclimatization, Biomass, Carbon metabolism, Earth, Planet, Wood, Carbon Cycle, Climate Change, Forests, Hot Temperature, Trees metabolism, Tropical Climate
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., (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.)

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results