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Author

E. M. Jimenez

Other affiliations: Max Planck Society
Bio: E. M. Jimenez is an academic researcher from National University of Colombia. The author has contributed to research in topics: Amazon rainforest & Soil fertility. The author has an hindex of 19, co-authored 27 publications receiving 5257 citations. Previous affiliations of E. M. Jimenez include Max Planck Society.

Papers
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Journal ArticleDOI
06 Mar 2009-Science
TL;DR: Records from multiple long-term monitoring plots across Amazonia are used to assess forest responses to the intense 2005 drought, a possible analog of future events that may accelerate climate change through carbon losses and changed surface energy balances.
Abstract: Amazon forests are a key but poorly understood component of the global carbon cycle. If, as anticipated, they dry this century, they might accelerate climate change through carbon losses and changed surface energy balances. We used records from multiple long-term monitoring plots across Amazonia to assess forest responses to the intense 2005 drought, a possible analog of future events. Affected forest lost biomass, reversing a large long-term carbon sink, with the greatest impacts observed where the dry season was unusually intense. Relative to pre-2005 conditions, forest subjected to a 100-millimeter increase in water deficit lost 5.3 megagrams of aboveground biomass of carbon per hectare. The drought had a total biomass carbon impact of 1.2 to 1.6 petagrams (1.2 × 1015 to 1.6 × 1015 grams). Amazon forests therefore appear vulnerable to increasing moisture stress, with the potential for large carbon losses to exert feedback on climate change.

1,545 citations

Journal ArticleDOI
Hans ter Steege1, Hans ter Steege2, Nigel C. A. Pitman3, Daniel Sabatier4, Christopher Baraloto5, Rafael de Paiva Salomão6, Juan Ernesto Guevara7, Oliver L. Phillips8, Carolina V. Castilho9, William E. Magnusson10, Jean-François Molino4, Abel Monteagudo, Percy Núñez Vargas11, Juan Carlos Montero10, Ted R. Feldpausch12, Ted R. Feldpausch8, Eurídice N. Honorio Coronado8, Timothy J. Killeen13, Bonifacio Mostacedo14, Rodolfo Vasquez, Rafael L. Assis10, Rafael L. Assis15, John Terborgh3, Florian Wittmann16, Ana Andrade10, William F. Laurance17, Susan G. Laurance17, Beatriz Schwantes Marimon18, Ben Hur Marimon18, Ima Célia Guimarães Vieira6, Iêda Leão do Amaral10, Roel J. W. Brienen8, Hernán Castellanos, Dairon Cárdenas López, Joost F. Duivenvoorden19, Hugo Mogollón20, Francisca Dionízia de Almeida Matos10, Nállarett Dávila21, Roosevelt García-Villacorta22, Pablo Roberto Stevenson Diaz23, Flávia R. C. Costa10, Thaise Emilio10, Carolina Levis10, Juliana Schietti10, Priscila Souza10, Alfonso Alonso24, Francisco Dallmeier24, Álvaro Javier Duque Montoya25, Maria Teresa Fernandez Piedade10, Alejandro Araujo-Murakami, Luzmila Arroyo, Rogério Gribel, Paul V. A. Fine7, Carlos A. Peres26, Marisol Toledo14, A C Gerardo Aymard, Timothy R. Baker8, Carlos Cerón27, Julien Engel28, Terry W. Henkel29, Paul J. M. Maas2, Pascal Petronelli, Juliana Stropp, Charles E. Zartman10, Doug Daly30, David A. Neill, Marcos Silveira31, Marcos Ríos Paredes, Jérôme Chave32, Diogenes de Andrade Lima Filho10, Peter M. Jørgensen33, Alfredo F. Fuentes33, Jochen Schöngart16, Fernando Cornejo Valverde34, Anthony Di Fiore35, E. M. Jimenez25, Maria Cristina Peñuela Mora25, Juan Fernando Phillips, Gonzalo Rivas36, Tinde van Andel2, Patricio von Hildebrand, Bruce Hoffman2, Egleé L. Zent37, Yadvinder Malhi38, Adriana Prieto25, Agustín Rudas25, Ademir R. Ruschell9, Natalino Silva39, Vincent A. Vos, Stanford Zent37, Alexandre Adalardo de Oliveira40, Angela Cano Schutz23, Therany Gonzales34, Marcelo Trindade Nascimento41, Hirma Ramírez-Angulo23, Rodrigo Sierra, Milton Tirado, Maria Natalia Umaña Medina23, Geertje M. F. van der Heijden42, Geertje M. F. van der Heijden43, César I.A. Vela11, Emilio Vilanova Torre23, Corine Vriesendorp, Ophelia Wang44, Kenneth R. Young35, Cláudia Baider40, Henrik Balslev45, Cid Ferreira10, Italo Mesones7, Armando Torres-Lezama23, Ligia Estela Urrego Giraldo25, Roderick Zagt46, Miguel Alexiades47, Lionel Hernández, Isau Huamantupa-Chuquimaco, William Milliken48, Walter Palacios Cuenca, Daniela Pauletto, Elvis H. Valderrama Sandoval49, Elvis H. Valderrama Sandoval50, Luis Valenzuela Gamarra, Kyle G. Dexter22, Kenneth J. Feeley51, Kenneth J. Feeley52, Gabriela Lopez-Gonzalez8, Miles R. Silman53 
Utrecht University1, Naturalis2, Duke University3, Institut de recherche pour le développement4, Institut national de la recherche agronomique5, Museu Paraense Emílio Goeldi6, University of California, Berkeley7, University of Leeds8, Empresa Brasileira de Pesquisa Agropecuária9, National Institute of Amazonian Research10, National University of Saint Anthony the Abbot in Cuzco11, University of Exeter12, World Wide Fund for Nature13, Universidad Autónoma Gabriel René Moreno14, Norwegian University of Life Sciences15, Max Planck Society16, James Cook University17, Universidade do Estado de Mato Grosso18, University of Amsterdam19, Silver Spring Networks20, State University of Campinas21, University of Edinburgh22, University of Los Andes23, Smithsonian Conservation Biology Institute24, National University of Colombia25, University of East Anglia26, Central University of Ecuador27, Centre national de la recherche scientifique28, Humboldt State University29, New York Botanical Garden30, Universidade Federal do Acre31, Paul Sabatier University32, Missouri Botanical Garden33, Amazon.com34, University of Texas at Austin35, University of Florida36, Venezuelan Institute for Scientific Research37, Environmental Change Institute38, Federal Rural University of Amazonia39, University of São Paulo40, State University of Norte Fluminense41, University of Wisconsin–Milwaukee42, Smithsonian Tropical Research Institute43, Northern Arizona University44, Aarhus University45, Tropenbos International46, University of Kent47, Royal Botanic Gardens48, Universidad Nacional de la Amazonía Peruana49, University of Missouri–St. Louis50, Fairchild Tropical Botanic Garden51, Florida International University52, Wake Forest University53
18 Oct 2013-Science
TL;DR: The finding that Amazonia is dominated by just 227 tree species implies that most biogeochemical cycling in the world’s largest tropical forest is performed by a tiny sliver of its diversity.
Abstract: The vast extent of the Amazon Basin has historically restricted the study of its tree communities to the local and regional scales. Here, we provide empirical data on the commonness, rarity, and richness of lowland tree species across the entire Amazon Basin and Guiana Shield (Amazonia), collected in 1170 tree plots in all major forest types. Extrapolations suggest that Amazonia harbors roughly 16,000 tree species, of which just 227 (1.4%) account for half of all trees. Most of these are habitat specialists and only dominant in one or two regions of the basin. We discuss some implications of the finding that a small group of species—less diverse than the North American tree flora—accounts for half of the world’s most diverse tree community.

963 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the role of soil fertility in forest structure and dynamics in the Amazon Basin in an east-west gradient coincident with variations in soil fertility and geology and found that soil fertility may play an important role in explaining Basinwide variations in forest biomass, growth and stem turnover rates.
Abstract: . Forest structure and dynamics vary across the Amazon Basin in an east-west gradient coincident with variations in soil fertility and geology. This has resulted in the hypothesis that soil fertility may play an important role in explaining Basin-wide variations in forest biomass, growth and stem turnover rates. Soil samples were collected in a total of 59 different forest plots across the Amazon Basin and analysed for exchangeable cations, carbon, nitrogen and pH, with several phosphorus fractions of likely different plant availability also quantified. Physical properties were additionally examined and an index of soil physical quality developed. Bivariate relationships of soil and climatic properties with above-ground wood productivity, stand-level tree turnover rates, above-ground wood biomass and wood density were first examined with multivariate regression models then applied. Both forms of analysis were undertaken with and without considerations regarding the underlying spatial structure of the dataset. Despite the presence of autocorrelated spatial structures complicating many analyses, forest structure and dynamics were found to be strongly and quantitatively related to edaphic as well as climatic conditions. Basin-wide differences in stand-level turnover rates are mostly influenced by soil physical properties with variations in rates of coarse wood production mostly related to soil phosphorus status. Total soil P was a better predictor of wood production rates than any of the fractionated organic- or inorganic-P pools. This suggests that it is not only the immediately available P forms, but probably the entire soil phosphorus pool that is interacting with forest growth on longer timescales. A role for soil potassium in modulating Amazon forest dynamics through its effects on stand-level wood density was also detected. Taking this into account, otherwise enigmatic variations in stand-level biomass across the Basin were then accounted for through the interacting effects of soil physical and chemical properties with climate. A hypothesis of self-maintaining forest dynamic feedback mechanisms initiated by edaphic conditions is proposed. It is further suggested that this is a major factor determining endogenous disturbance levels, species composition, and forest productivity across the Amazon Basin.

505 citations

Journal ArticleDOI
TL;DR: It is indicated that repeated droughts would shift the functional composition of tropical forests toward smaller, denser-wooded trees, suggesting the existence of moisture stress thresholds beyond which some tropical forests would suffer catastrophic tree mortality.
Abstract: The rich ecology of tropical forests is intimately tied to their moisture status. Multi-site syntheses can provide a macro-scale view of these linkages and their susceptibility to changing climates. Here, we report pan-tropical and regional-scale analyses of tree vulnerability to drought. We assembled available data on tropical forest tree stem mortality before, during, and after recent drought events, from 119 monitoring plots in 10 countries concentrated in Amazonia and Borneo. In most sites, larger trees are disproportionately at risk. At least within Amazonia, low wood density trees are also at greater risk of drought-associated mortality, independent of size. For comparable drought intensities, trees in Borneo are more vulnerable than trees in the Amazon. There is some evidence for lagged impacts of drought, with mortality rates remaining elevated 2 yr after the meteorological event is over. These findings indicate that repeated droughts would shift the functional composition of tropical forests toward smaller, denser-wooded trees. At very high drought intensities, the linear relationship between tree mortality and moisture stress apparently breaks down, suggesting the existence of moisture stress thresholds beyond which some tropical forests would suffer catastrophic tree mortality.

499 citations

Journal ArticleDOI
Ted R. Feldpausch1, Jon Lloyd2, Jon Lloyd1, Simon L. Lewis1, Simon L. Lewis3, Roel J. W. Brienen1, Manuel Gloor1, A. Monteagudo Mendoza, G. Lopez-Gonzalez1, Lindsay F. Banin1, Lindsay F. Banin4, K. Abu Salim5, Kofi Affum-Baffoe6, Miguel Alexiades7, Samuel Almeida8, Iêda Leão do Amaral, Ana Andrade, Luiz E. O. C. Aragão9, A. Araujo Murakami10, Eric Arets11, Luzmila Arroyo10, Timothy R. Baker1, Olaf Bánki12, Nicholas J. Berry13, Nallarett Davila Cardozo14, Jérôme Chave15, James A. Comiskey16, Esteban Álvarez, A. A. R. de Oliveira, A. Di Fiore17, Gloria Djagbletey18, Tomas F. Domingues19, Terry L. Erwin20, Philip M. Fearnside, Mabiane Batista França, Maria Aparecida Freitas8, Niro Higuchi, Yoshiko Iida21, E. M. Jimenez22, Abdul Rahman Kassim23, Timothy J. Killeen24, William F. Laurance2, Jon C. Lovett25, Yadvinder Malhi26, Beatriz Schwantes Marimon27, Ben Hur Marimon-Junior27, Eddie Lenza27, Andrew R. Marshall28, Casimiro Mendoza, Daniel J. Metcalfe29, Edward T. A. Mitchard13, David A. Neill, Bruce Walker Nelson, Reuben Nilus, Euler Melo Nogueira, Alexander Parada10, Kelvin S.-H. Peh30, A. Peña Cruz, M. C. Peñuela22, Nigel C. A. Pitman31, Adriana Prieto22, Carlos A. Quesada, Fredy Ramírez14, Hirma Ramírez-Angulo32, Jan Reitsma, Agustín Rudas22, Gustavo Saiz33, Rafael de Paiva Salomão8, Michael P. Schwarz1, Natalino Silva, Javier E. Silva-Espejo, Marcos Silveira34, Bonaventure Sonké35, Juliana Stropp, Hermann Taedoumg35, Sylvester Tan, H. ter Steege36, John Terborgh31, Mireia Torello-Raventos2, G. M. F. van der Heijden37, G. M. F. van der Heijden38, R. Vásquez, Emilio Vilanova32, Vincent A. Vos, Lee J. T. White39, Simon Willcock1, Hannsjorg Woell, Oliver L. Phillips1 
TL;DR: In this article, the effect of tree height (H) on tropical forest biomass and carbon storage estimates was investigated using data from 20 sites across four continents, and the results showed that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions.
Abstract: . Aboveground tropical tree biomass and carbon storage estimates commonly ignore tree height (H). We estimate the effect of incorporating H on tropics-wide forest biomass estimates in 327 plots across four continents using 42 656 H and diameter measurements and harvested trees from 20 sites to answer the following questions: 1. What is the best H-model form and geographic unit to include in biomass models to minimise site-level uncertainty in estimates of destructive biomass? 2. To what extent does including H estimates derived in (1) reduce uncertainty in biomass estimates across all 327 plots? 3. What effect does accounting for H have on plot- and continental-scale forest biomass estimates? The mean relative error in biomass estimates of destructively harvested trees when including H (mean 0.06), was half that when excluding H (mean 0.13). Power- and Weibull-H models provided the greatest reduction in uncertainty, with regional Weibull-H models preferred because they reduce uncertainty in smaller-diameter classes (≤40 cm D) that store about one-third of biomass per hectare in most forests. Propagating the relationships from destructively harvested tree biomass to each of the 327 plots from across the tropics shows that including H reduces errors from 41.8 Mg ha−1 (range 6.6 to 112.4) to 8.0 Mg ha−1 (−2.5 to 23.0). For all plots, aboveground live biomass was −52.2 Mg ha−1 (−82.0 to −20.3 bootstrapped 95% CI), or 13%, lower when including H estimates, with the greatest relative reductions in estimated biomass in forests of the Brazilian Shield, east Africa, and Australia, and relatively little change in the Guiana Shield, central Africa and southeast Asia. Appreciably different stand structure was observed among regions across the tropical continents, with some storing significantly more biomass in small diameter stems, which affects selection of the best height models to reduce uncertainty and biomass reductions due to H. After accounting for variation in H, total biomass per hectare is greatest in Australia, the Guiana Shield, Asia, central and east Africa, and lowest in east-central Amazonia, W. Africa, W. Amazonia, and the Brazilian Shield (descending order). Thus, if tropical forests span 1668 million km2 and store 285 Pg C (estimate including H), then applying our regional relationships implies that carbon storage is overestimated by 35 Pg C (31–39 bootstrapped 95% CI) if H is ignored, assuming that the sampled plots are an unbiased statistical representation of all tropical forest in terms of biomass and height factors. Our results show that tree H is an important allometric factor that needs to be included in future forest biomass estimates to reduce error in estimates of tropical carbon stocks and emissions due to deforestation.

426 citations


Cited by
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28 Jul 2005
TL;DR: PfPMP1)与感染红细胞、树突状组胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作�ly.
Abstract: 抗原变异可使得多种致病微生物易于逃避宿主免疫应答。表达在感染红细胞表面的恶性疟原虫红细胞表面蛋白1(PfPMP1)与感染红细胞、内皮细胞、树突状细胞以及胎盘的单个或多个受体作用,在黏附及免疫逃避中起关键的作用。每个单倍体基因组var基因家族编码约60种成员,通过启动转录不同的var基因变异体为抗原变异提供了分子基础。

18,940 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present the first global assessment of recent tree mortality attributed to drought and heat stress and identify key information gaps and scientific uncertainties that currently hinder our ability to predict tree mortality in response to climate change and emphasizes the need for a globally coordinated observation system.

5,811 citations

01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.

5,249 citations

Journal ArticleDOI
19 Aug 2011-Science
TL;DR: The total forest sink estimate is equivalent in magnitude to the terrestrial sink deduced from fossil fuel emissions and land-use change sources minus ocean and atmospheric sinks, with tropical estimates having the largest uncertainties.
Abstract: The terrestrial carbon sink has been large in recent decades, but its size and location remain uncertain. Using forest inventory data and long-term ecosystem carbon studies, we estimate a total forest sink of 2.4 ± 0.4 petagrams of carbon per year (Pg C year–1) globally for 1990 to 2007. We also estimate a source of 1.3 ± 0.7 Pg C year–1 from tropical land-use change, consisting of a gross tropical deforestation emission of 2.9 ± 0.5 Pg C year–1 partially compensated by a carbon sink in tropical forest regrowth of 1.6 ± 0.5 Pg C year–1. Together, the fluxes comprise a net global forest sink of 1.1 ± 0.8 Pg C year–1, with tropical estimates having the largest uncertainties. Our total forest sink estimate is equivalent in magnitude to the terrestrial sink deduced from fossil fuel emissions and land-use change sources minus ocean and atmospheric sinks.

4,948 citations