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H. ter Steege

Bio: H. ter Steege is an academic researcher from Utrecht University. The author has contributed to research in topics: Biomass (ecology) & Species richness. The author has an hindex of 18, co-authored 20 publications receiving 8826 citations. Previous affiliations of H. ter Steege include Conservation International & Naturalis.

Papers
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Journal ArticleDOI
TL;DR: This paper provides an international methodological protocol aimed at standardising this research effort, based on consensus among a broad group of scientists in this field, and features a practical handbook with step-by-step recipes, for 28 functional traits recognised as critical for tackling large-scale ecological questions.
Abstract: There is growing recognition that classifying terrestrial plant species on the basis of their function (into 'functional types') rather than their higher taxonomic identity, is a promising way forward for tackling important ecological questions at the scale of ecosystems, landscapes or biomes. These questions include those on vegetation responses to and vegetation effects on, environmental changes (e.g. changes in climate, atmospheric chemistry, land use or other disturbances). There is also growing consensus about a shortlist of plant traits that should underlie such functional plant classifications, because they have strong predictive power of important ecosystem responses to environmental change and/or they themselves have strong impacts on ecosystem processes. The most favoured traits are those that are also relatively easy and inexpensive to measure for large numbers of plant species. Large international research efforts, promoted by the IGBP–GCTE Programme, are underway to screen predominant plant species in various ecosystems and biomes worldwide for such traits. This paper provides an international methodological protocol aimed at standardising this research effort, based on consensus among a broad group of scientists in this field. It features a practical handbook with step-by-step recipes, with relatively brief information about the ecological context, for 28 functional traits recognised as critical for tackling large-scale ecological questions.

3,288 citations

Journal ArticleDOI
TL;DR: This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties.
Abstract: Plant functional traits are the features (morphological, physiological, phenological) that represent ecological strategies and determine how plants respond to environmental factors, affect other trophic levels and influence ecosystem properties. Variation in plant functional traits, and trait syndromes, has proven useful for tackling many important ecological questions at a range of scales, giving rise to a demand for standardised ways to measure ecologically meaningful plant traits. This line of research has been among the most fruitful avenues for understanding ecological and evolutionary patterns and processes. It also has the potential both to build a predictive set of local, regional and global relationships between plants and environment and to quantify a wide range of natural and human-driven processes, including changes in biodiversity, the impacts of species invasions, alterations in biogeochemical processes and vegetation–atmosphere interactions. The importance of these topics dictates the urgent need for more and better data, and increases the value of standardised protocols for quantifying trait variation of different species, in particular for traits with power to predict plant- and ecosystem-level processes, and for traits that can be measured relatively easily. Updated and expanded from the widely used previous version, this handbook retains the focus on clearly presented, widely applicable, step-by-step recipes, with a minimum of text on theory, and not only includes updated methods for the traits previously covered, but also introduces many new protocols for further traits. This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties. We hope this new handbook becomes a standard companion in local and global efforts to learn about the responses and impacts of different plant species with respect to environmental changes in the present, past and future.

2,744 citations

Journal ArticleDOI
12 Nov 2010-Science
TL;DR: It is shown that Andean uplift was crucial for the evolution of Amazonian landscapes and ecosystems, and that current biodiversity patterns are rooted deep in the pre-Quaternary.
Abstract: The Amazonian rainforest is arguably the most species-rich terrestrial ecosystem in the world, yet the timing of the origin and evolutionary causes of this diversity are a matter of debate. We review the geologic and phylogenetic evidence from Amazonia and compare it with uplift records from the Andes. This uplift and its effect on regional climate fundamentally changed the Amazonian landscape by reconfiguring drainage patterns and creating a vast influx of sediments into the basin. On this “Andean” substrate, a region-wide edaphic mosaic developed that became extremely rich in species, particularly in Western Amazonia. We show that Andean uplift was crucial for the evolution of Amazonian landscapes and ecosystems, and that current biodiversity patterns are rooted deep in the pre-Quaternary.

1,790 citations

Journal ArticleDOI
Roel J. W. Brienen1, Oliver L. Phillips1, Ted R. Feldpausch1, Ted R. Feldpausch2, Emanuel Gloor1, Timothy R. Baker1, Jon Lloyd3, Jon Lloyd4, Gabriela Lopez-Gonzalez1, Abel Monteagudo-Mendoza, Yadvinder Malhi5, Simon L. Lewis6, Simon L. Lewis1, R. Vásquez Martínez, Miguel Alexiades7, E. Alvarez Dávila, Patricia Alvarez-Loayza8, Ana Andrade9, Luiz E. O. C. Aragão10, Luiz E. O. C. Aragão2, Alejandro Araujo-Murakami11, Eric Arets12, Luzmila Arroyo11, Olaf Bánki13, Christopher Baraloto14, Christopher Baraloto15, Jorcely Barroso16, Damien Bonal15, René G. A. Boot17, José Luís Camargo9, Carolina V. Castilho18, V. Chama, Kuo-Jung Chao19, Kuo-Jung Chao1, Jérôme Chave20, James A. Comiskey21, F. Cornejo Valverde22, L da Costa23, E. A. de Oliveira24, A. Di Fiore25, Terry L. Erwin26, Sophie Fauset1, Mônica Forsthofer24, David W. Galbraith1, E S Grahame1, Nikée Groot1, Bruno Hérault, Niro Higuchi9, E.N. Honorio Coronado22, E.N. Honorio Coronado1, Helen C. Keeling1, Timothy J. Killeen27, William F. Laurance3, Susan G. Laurance3, Juan Carlos Licona, W E Magnussen, Beatriz Schwantes Marimon24, Ben Hur Marimon-Junior24, Casimiro Mendoza28, David A. Neill, Euler Melo Nogueira, Pablo Núñez, N. C. Pallqui Camacho, Alexander Parada11, G. Pardo-Molina, Julie Peacock1, Marielos Peña-Claros12, Georgia Pickavance1, Nigel C. A. Pitman29, Nigel C. A. Pitman8, Lourens Poorter12, Adriana Prieto30, Carlos A. Quesada, Fredy Ramírez30, Hirma Ramírez-Angulo31, Zorayda Restrepo, Anand Roopsind, Agustín Rudas32, Rafael de Paiva Salomão33, Michael P. Schwarz1, Natalino Silva, Javier E. Silva-Espejo, Marcos Silveira16, Juliana Stropp, Joey Talbot1, H. ter Steege34, H. ter Steege35, J Teran-Aguilar, John Terborgh8, Raquel Thomas-Caesar, Marisol Toledo, Mireia Torello-Raventos3, Ricardo Keichi Umetsu24, G. M. F. van der Heijden36, G. M. F. van der Heijden37, G. M. F. van der Heijden38, P. van der Hout, I. C. Guimarães Vieira33, Simone Aparecida Vieira39, Emilio Vilanova31, Vincent A. Vos, Roderick Zagt17 
19 Mar 2015-Nature
TL;DR: It is confirmed that Amazon forests have acted as a long-term net biomass sink, but the observed decline of the Amazon sink diverges markedly from the recent increase in terrestrial carbon uptake at the global scale, and is contrary to expectations based on models
Abstract: Atmospheric carbon dioxide records indicate that the land surface has acted as a strong global carbon sink over recent decades, with a substantial fraction of this sink probably located in the tropics, particularly in the Amazon. Nevertheless, it is unclear how the terrestrial carbon sink will evolve as climate and atmospheric composition continue to change. Here we analyse the historical evolution of the biomass dynamics of the Amazon rainforest over three decades using a distributed network of 321 plots. While this analysis confirms that Amazon forests have acted as a long-term net biomass sink, we find a long-term decreasing trend of carbon accumulation. Rates of net increase in above-ground biomass declined by one-third during the past decade compared to the 1990s. This is a consequence of growth rate increases levelling off recently, while biomass mortality persistently increased throughout, leading to a shortening of carbon residence times. Potential drivers for the mortality increase include greater climate variability, and feedbacks of faster growth on mortality, resulting in shortened tree longevity. The observed decline of the Amazon sink diverges markedly from the recent increase in terrestrial carbon uptake at the global scale, and is contrary to expectations based on models.

767 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. Banin4, Lindsay F. Banin1, 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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Journal ArticleDOI
TL;DR: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols used xiii 1.
Abstract: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

14,171 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

Journal ArticleDOI
TL;DR: This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties.
Abstract: Plant functional traits are the features (morphological, physiological, phenological) that represent ecological strategies and determine how plants respond to environmental factors, affect other trophic levels and influence ecosystem properties. Variation in plant functional traits, and trait syndromes, has proven useful for tackling many important ecological questions at a range of scales, giving rise to a demand for standardised ways to measure ecologically meaningful plant traits. This line of research has been among the most fruitful avenues for understanding ecological and evolutionary patterns and processes. It also has the potential both to build a predictive set of local, regional and global relationships between plants and environment and to quantify a wide range of natural and human-driven processes, including changes in biodiversity, the impacts of species invasions, alterations in biogeochemical processes and vegetation–atmosphere interactions. The importance of these topics dictates the urgent need for more and better data, and increases the value of standardised protocols for quantifying trait variation of different species, in particular for traits with power to predict plant- and ecosystem-level processes, and for traits that can be measured relatively easily. Updated and expanded from the widely used previous version, this handbook retains the focus on clearly presented, widely applicable, step-by-step recipes, with a minimum of text on theory, and not only includes updated methods for the traits previously covered, but also introduces many new protocols for further traits. This new handbook has a better balance between whole-plant traits, leaf traits, root and stem traits and regenerative traits, and puts particular emphasis on traits important for predicting species’ effects on key ecosystem properties. We hope this new handbook becomes a standard companion in local and global efforts to learn about the responses and impacts of different plant species with respect to environmental changes in the present, past and future.

2,744 citations

Journal ArticleDOI
01 Jan 2010-Ecology
TL;DR: A highly flexible distance-based framework to measure different facets of FD in multidimensional trait space from any distance or dissimilarity measure, any number of traits, and from different trait types (i.e., quantitative, semi-quantitative, and qualitative).
Abstract: A new framework for measuring functional diversity (FD) from multiple traits has recently been proposed. This framework was mostly limited to quantitative traits without missing values and to situations in which there are more species than traits, although the authors had suggested a way to extend their framework to other trait types. The main purpose of this note is to further develop this suggestion. We describe a highly flexible distance-based framework to measure different facets of FD in multidimensional trait space from any distance or dissimilarity measure, any number of traits, and from different trait types (i.e., quantitative, semi-quantitative, and qualitative). This new approach allows for missing trait values and the weighting of individual traits. We also present a new multidimensional FD index, called functional dispersion (FDis), which is closely related to Rao's quadratic entropy. FDis is the multivariate analogue of the weighted mean absolute deviation (MAD), in which the weights are species relative abundances. For unweighted presence-absence data, FDis can be used for a formal statistical test of differences in FD. We provide the "FD" R language package to easily implement our distance-based FD framework.

2,735 citations