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2. Biome Change in Southern Africa

Author

Higgins, Steven I., Conradi, Timo, Louw, Michelle A., Muhoko, Edward, Scheiter, Simon, Martens, Carola, Hickler, Thomas, Wilhelm, Ferdinand, Midgley, Guy F., Turpie, Jane, Weiss, Joshua, Slingsby, Jasper A., Canadell, Josep G., Series Editor, Díaz, Sandra, Series Editor, Heldmaier, Gerhard, Series Editor, Jackson, Robert B., Series Editor, Levia, Delphis F., Series Editor, Schulze, Ernst-Detlef, Series Editor, Sommer, Ulrich, Series Editor, Wardle, David A., Series Editor, von Maltitz, Graham P., editor, Midgley, Guy F., editor, Veitch, Jennifer, editor, Brümmer, Christian, editor, Rötter, Reimund P., editor, Viehberg, Finn A., editor, and Veste, Maik, editor

Published
2024
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3. The global spectrum of plant form and function: enhanced species-level trait dataset.

Author

Díaz, Sandra, Kattge, Jens, Cornelissen, Johannes HC, Wright, Ian J, Lavorel, Sandra, Dray, Stéphane, Reu, Björn, Kleyer, Michael, Wirth, Christian, Prentice, I Colin, Garnier, Eric, Bönisch, Gerhard, Westoby, Mark, Poorter, Hendrik, Reich, Peter B, Moles, Angela T, Dickie, John, Zanne, Amy E, Chave, Jérôme, Wright, S Joseph, Sheremetiev, Serge N, Jactel, Hervé, Baraloto, Christopher, Cerabolini, Bruno EL, Pierce, Simon, Shipley, Bill, Casanoves, Fernando, Joswig, Julia S, Günther, Angela, Falczuk, Valeria, Rüger, Nadja, Mahecha, Miguel D, Gorné, Lucas D, Amiaud, Bernard, Atkin, Owen K, Bahn, Michael, Baldocchi, Dennis, Beckmann, Michael, Blonder, Benjamin, Bond, William, Bond-Lamberty, Ben, Brown, Kerry, Burrascano, Sabina, Byun, Chaeho, Campetella, Giandiego, Cavender-Bares, Jeannine, Chapin, F Stuart, Choat, Brendan, Coomes, David Anthony, Cornwell, William K, Craine, Joseph, Craven, Dylan, Dainese, Matteo, de Araujo, Alessandro Carioca, de Vries, Franciska T, Domingues, Tomas Ferreira, Enquist, Brian J, Fagúndez, Jaime, Fang, Jingyun, Fernández-Méndez, Fernando, Fernandez-Piedade, Maria T, Ford, Henry, Forey, Estelle, Freschet, Gregoire T, Gachet, Sophie, Gallagher, Rachael, Green, Walton, Guerin, Greg R, Gutiérrez, Alvaro G, Harrison, Sandy P, Hattingh, Wesley Neil, He, Tianhua, Hickler, Thomas, Higgins, Steven I, Higuchi, Pedro, Ilic, Jugo, Jackson, Robert B, Jalili, Adel, Jansen, Steven, Koike, Fumito, König, Christian, Kraft, Nathan, Kramer, Koen, Kreft, Holger, Kühn, Ingolf, Kurokawa, Hiroko, Lamb, Eric G, Laughlin, Daniel C, Leishman, Michelle, Lewis, Simon, Louault, Frédérique, Malhado, Ana CM, Manning, Peter, Meir, Patrick, Mencuccini, Maurizio, Messier, Julie, Miller, Regis, Minden, Vanessa, Molofsky, Jane, and Montgomery, Rebecca

Abstract

Here we provide the 'Global Spectrum of Plant Form and Function Dataset', containing species mean values for six vascular plant traits. Together, these traits -plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content per dry mass, and diaspore (seed or spore) mass - define the primary axes of variation in plant form and function. The dataset is based on ca. 1 million trait records received via the TRY database (representing ca. 2,500 original publications) and additional unpublished data. It provides 92,159 species mean values for the six traits, covering 46,047 species. The data are complemented by higher-level taxonomic classification and six categorical traits (woodiness, growth form, succulence, adaptation to terrestrial or aquatic habitats, nutrition type and leaf type). Data quality management is based on a probabilistic approach combined with comprehensive validation against expert knowledge and external information. Intense data acquisition and thorough quality control produced the largest and, to our knowledge, most accurate compilation of empirically observed vascular plant species mean traits to date.

Published
2022

5. Tallo: A global tree allometry and crown architecture database

Author

Jucker, Tommaso, Fischer, Fabian Jörg, Chave, Jérôme, Coomes, David A, Caspersen, John, Ali, Arshad, Panzou, Grace Jopaul Loubota, Feldpausch, Ted R, Falster, Daniel, Usoltsev, Vladimir A, Adu‐Bredu, Stephen, Alves, Luciana F, Aminpour, Mohammad, Angoboy, Ilondea B, Anten, Niels PR, Antin, Cécile, Askari, Yousef, Muñoz, Rodrigo, Ayyappan, Narayanan, Balvanera, Patricia, Banin, Lindsay, Barbier, Nicolas, Battles, John J, Beeckman, Hans, Bocko, Yannick E, Bond‐Lamberty, Ben, Bongers, Frans, Bowers, Samuel, Brade, Thomas, Breugel, Michiel, Chantrain, Arthur, Chaudhary, Rajeev, Dai, Jingyu, Dalponte, Michele, Dimobe, Kangbéni, Domec, Jean‐Christophe, Doucet, Jean‐Louis, Duursma, Remko A, Enríquez, Moisés, Ewijk, Karin Y, Farfán‐Rios, William, Fayolle, Adeline, Forni, Eric, Forrester, David I, Gilani, Hammad, Godlee, John L, Gourlet‐Fleury, Sylvie, Haeni, Matthias, Hall, Jefferson S, He, Jie‐Kun, Hemp, Andreas, Hernández‐Stefanoni, José L, Higgins, Steven I, Holdaway, Robert J, Hussain, Kiramat, Hutley, Lindsay B, Ichie, Tomoaki, Iida, Yoshiko, Jiang, Hai‐sheng, Joshi, Puspa Raj, Kaboli, Hasan, Larsary, Maryam Kazempour, Kenzo, Tanaka, Kloeppel, Brian D, Kohyama, Takashi, Kunwar, Suwash, Kuyah, Shem, Kvasnica, Jakub, Lin, Siliang, Lines, Emily R, Liu, Hongyan, Lorimer, Craig, Loumeto, Jean‐Joël, Malhi, Yadvinder, Marshall, Peter L, Mattsson, Eskil, Matula, Radim, Meave, Jorge A, Mensah, Sylvanus, Mi, Xiangcheng, Momo, Stéphane, Moncrieff, Glenn R, Mora, Francisco, Nissanka, Sarath P, O'Hara, Kevin L, Pearce, Steven, Pelissier, Raphaël, Peri, Pablo L, Ploton, Pierre, Poorter, Lourens, Pour, Mohsen Javanmiri, Pourbabaei, Hassan, Dupuy‐Rada, Juan Manuel, Ribeiro, Sabina C, Ryan, Casey, Sanaei, Anvar, Sanger, Jennifer, Schlund, Michael, Sellan, Giacomo, and Shenkin, Alexander

Subjects
Life on Land, Biomass, Carbon, Carbon Cycle, Ecosystem, Forests, Trees, allometric scaling, crown radius, forest biomass stocks, forest ecology, remote sensing, stem diameter, tree height, Environmental Sciences, Biological Sciences, Ecology
Abstract

Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research-from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology-from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle.

Published
2022

6. Biome Change in Southern Africa

Author

Higgins, Steven I., primary, Conradi, Timo, additional, Louw, Michelle A., additional, Muhoko, Edward, additional, Scheiter, Simon, additional, Martens, Carola, additional, Hickler, Thomas, additional, Wilhelm, Ferdinand, additional, Midgley, Guy F., additional, Turpie, Jane, additional, Weiss, Joshua, additional, and Slingsby, Jasper A., additional

Published
2024
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12. Reassessing the alternative ecosystem states proposition in the African savanna‐forest domain.

Author

Higgins, Steven I., Banerjee, Swarnendu, Baudena, Mara, Bowman, David M. J. S., Conradi, Timo, Couteron, Pierre, Kruger, Laurence M., O'Hara, Robert B., and Williamson, Grant J.

Subjects
*CLIMATE change adaptation, *LONGITUDINAL method, *ECOLOGISTS, *CONSUMERS, *ECOSYSTEMS
Abstract

Summary: Ecologists are being challenged to predict how ecosystems will respond to climate changes. According to the Multi‐Colored World (MCW) hypothesis, climate impacts may not manifest because consumers such as fire and herbivory can override the influence of climate on ecosystem state. One MCW interpretation is that climate determinism fails because alternative ecosystem states (AES) are possible at some locations in climate space. We evaluated theoretical and empirical evidence for the proposition that forest and savanna are AES in Africa. We found that maps which infer where AES zones are located were contradictory. Moreover, data from longitudinal and experimental studies provide inconclusive evidence for AES. That is, although the forest‐savanna AES proposition is theoretically sound, the existing evidence is not yet convincing. We conclude by making the case that the AES proposition has such fundamental consequences for designing management actions to mitigate and adapt to climate change in the savanna‐forest domain that it needs a more robust evidence base before it is used to prescribe management actions. [ABSTRACT FROM AUTHOR]

Published
2024
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13. Allometric equations for integrating remote sensing imagery into forest monitoring programmes

Author

Jucker, Tommaso, Caspersen, John, Chave, Jérôme, Antin, Cécile, Barbier, Nicolas, Bongers, Frans, Dalponte, Michele, Ewijk, Karin Y, Forrester, David I, Haeni, Matthias, Higgins, Steven I, Holdaway, Robert J, Iida, Yoshiko, Lorimer, Craig, Marshall, Peter L, Momo, Stéphane, Moncrieff, Glenn R, Ploton, Pierre, Poorter, Lourens, Rahman, Kassim Abd, Schlund, Michael, Sonké, Bonaventure, Sterck, Frank J, Trugman, Anna T, Usoltsev, Vladimir A, Vanderwel, Mark C, Waldner, Peter, Wedeux, Beatrice MM, Wirth, Christian, Wöll, Hannsjörg, Woods, Murray, Xiang, Wenhua, Zimmermann, Niklaus E, and Coomes, David A

Subjects
Environmental Sciences, Life on Land, Biomass, Carbon, Carbon Cycle, Forests, Remote Sensing Technology, Trees, aboveground biomass, airborne laser scanning, carbon mapping, crown architecture, height-diameter allometry, stem diameter distributions, Biological Sciences, Ecology, Biological sciences, Earth sciences, Environmental sciences
Abstract

Remote sensing is revolutionizing the way we study forests, and recent technological advances mean we are now able - for the first time - to identify and measure the crown dimensions of individual trees from airborne imagery. Yet to make full use of these data for quantifying forest carbon stocks and dynamics, a new generation of allometric tools which have tree height and crown size at their centre are needed. Here, we compile a global database of 108753 trees for which stem diameter, height and crown diameter have all been measured, including 2395 trees harvested to measure aboveground biomass. Using this database, we develop general allometric models for estimating both the diameter and aboveground biomass of trees from attributes which can be remotely sensed - specifically height and crown diameter. We show that tree height and crown diameter jointly quantify the aboveground biomass of individual trees and find that a single equation predicts stem diameter from these two variables across the world's forests. These new allometric models provide an intuitive way of integrating remote sensing imagery into large-scale forest monitoring programmes and will be of key importance for parameterizing the next generation of dynamic vegetation models.

Published
2017

44. Savanna Vegetation-Fire-Climate Relationships Differ Among Continents

Author

Lehmann, Caroline E. R., Anderson, T. Michael, Sankaran, Mahesh, Higgins, Steven I., Archibald, Sally, Hoffmann, William A., Hanan, Niall P., Williams, Richard J., Fensham, Roderick J., Felfili, Jeanine, Hutley, Lindsay B., Ratnam, Jayashree, San Jose, Jose, Montes, Ruben, Franklin, Don, Russell-Smith, Jeremy, Ryan, Casey M., Durigan, Giselda, Hiernaux, Pierre, Haidar, Ricardo, Bowman, David M. J. S., and Bond, William J.

Published
2014

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