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2. LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

Author

Suraj Reddy Rodda, Rakesh Fararoda, Rajashekar Gopalakrishnan, Nidhi Jha, Maxime Réjou-Méchain, Pierre Couteron, Nicolas Barbier, Alonso Alfonso, Ousmane Bako, Patrick Bassama, Debabrata Behera, Pulcherie Bissiengou, Hervé Biyiha, Warren Y. Brockelman, Wirong Chanthorn, Prakash Chauhan, Vinay Kumar Dadhwal, Gilles Dauby, Vincent Deblauwe, Narcis Dongmo, Vincent Droissart, Selvaraj Jeyakumar, Chandra Shekar Jha, Narcisse G. Kandem, John Katembo, Ronald Kougue, Hugo Leblanc, Simon Lewis, Moses Libalah, Maya Manikandan, Olivier Martin-Ducup, Germain Mbock, Hervé Memiaghe, Gislain Mofack, Praveen Mutyala, Ayyappan Narayanan, Anuttara Nathalang, Gilbert Oum Ndjock, Fernandez Ngoula, Rama Rao Nidamanuri, Raphaël Pélissier, Sassan Saatchi, Le Bienfaiteur Sagang, Patrick Salla, Murielle Simo-Droissart, Thomas B. Smith, Bonaventure Sonké, Tariq Stevart, Danièle Tjomb, Donatien Zebaze, Lise Zemagho, and Pierre Ploton

Subjects
Science
Abstract

Abstract Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth’s carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides access to these reference AGB maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total LiDAR footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. These maps serve as calibration/validation datasets to improve the accuracy and reliability of AGB mapping for current and upcoming EO missions (viz., GEDI, BIOMASS, and NISAR).

Published
2024
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3. 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

5. BioTIME: A database of biodiversity time series for the Anthropocene.

Author

Dornelas, Maria, Antão, Laura H, Moyes, Faye, Bates, Amanda E, Magurran, Anne E, Adam, Dušan, Akhmetzhanova, Asem A, Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H, Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti-Cecchi, Lisandro, Bett, Brian J, Bjorkman, Anne D, Błażewicz, Magdalena, Blowes, Shane A, Bloch, Christopher P, Bonebrake, Timothy C, Boyd, Susan, Bradford, Matt, Brooks, Andrew J, Brown, James H, Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda-Moya, Edward, Chen, Chaolun Allen, Chamblee, John F, Chase, Tory J, Siegwart Collier, Laura, Collinge, Sharon K, Condit, Richard, Cooper, Elisabeth J, Cornelissen, J Hans C, Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H, Davis, Robert A, Day, Frank P, Degraer, Steven, Doherty, Tim S, Dunn, Timothy E, Durigan, Giselda, Duffy, J Emmett, Edelist, Dor, Edgar, Graham J, Elahi, Robin, Elmendorf, Sarah C, Enemar, Anders, Ernest, SK Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S, Fan, Tung-Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z, Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E, Fraser, William R, García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone-Barbosa, Elizabeth, Gould, William A, Gries, Corinna, Grossman, Gary D, Gutierréz, Julio R, Hale, Stephen, Harmon, Mark E, Harte, John, Haskins, Gary, Henshaw, Donald L, Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D, Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih-Hao, Hubbell, Stephen P, Huettmann, Falk, Huffard, Christine L, Hurlbert, Allen H, and Macedo Ivanauskas, Natália

Subjects
biodiversity, global, spatial, species richness, temporal, turnover, Ecology, Physical Geography and Environmental Geoscience, Ecological Applications
Abstract

MotivationThe BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community-led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables includedThe database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of 2 years, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology and contextual information about each record.Spatial location and grainBioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1,000,000,000,000 cm2).Time period and grainBioTIME records span from 1874 to 2016. The minimal temporal grain across all datasets in BioTIME is a year.Major taxa and level of measurementBioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton and terrestrial invertebrates to small and large vertebrates.Software format.csv and .SQL.

Published
2018

6. Pan-tropical prediction of forest structure from the largest trees

Author

Bastin, Jean-François, Rutishauser, Ervan, Kellner, James R., Saatchi, Sassan, Pélissier, Raphael, Hérault, Bruno, Slik, Ferry, Bogaert, Jan, De Cannière, Charles, Marshall, Andrew R., Poulsen, John, Alvarez-Loyayza, Patricia, Andrade, Ana, Angbonga-Basia, Albert, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Ayyappan, Narayanan, de Azevedo, Celso Paulo, Banki, Olaf, Barbier, Nicolas, Barroso, Jorcely G., Beeckman, Hans, Bitariho, Robert, Boeckx, Pascal, Boehning-Gaese, Katrin, Brandão, Hilandia, Brearley, Francis Q., Hockemba, Mireille Breuer Ndoundou, Brienen, Roel, Camargo, Jose Luis C., Campos-Arceiz, Ahimsa, Cassart, Benoit, Chave, Jérôme, Chazdon, Robin, Chuyong, Georges, Clark, David B., Clark, Connie J., Condit, Richard, Coronado, Euridice N. Honorio, Davidar, Priya, de Haulleville, Thalès, Descroix, Laurent, Doucet, Jean-Louis, Dourdain, Aurelie, Droissart, Vincent, Duncan, Thomas, Espejo, Javier Silva, Espinosa, Santiago, Farwig, Nina, Fayolle, Adeline, Feldpausch, Ted R., Ferraz, Antonio, Fletcher, Christine, Gajapersad, Krisna, Gillet, Jean-François, do Amaral, Iêda Leão, Gonmadje, Christelle, Grogan, James, Harris, David, Herzog, Sebastian K., Homeier, Jürgen, Hubau, Wannes, Hubbell, Stephen P., Hufkens, Koen, Hurtado, Johanna, Kamdem, Narcisse G., Kearsley, Elizabeth, Kenfack, David, Kessler, Michael, Labrière, Nicolas, Laumonier, Yves, Laurance, Susan, Laurance, William F., Lewis, Simon L., Libalah, Moses B., Ligot, Gauthier, Lloyd, Jon, Lovejoy, Thomas E., Malhi, Yadvinder, Marimon, Beatriz S., Junior, Ben Hur Marimon, Martin, Emmanuel H., Matius, Paulus, Meyer, Victoria, Bautista, Casimero Mendoza, Monteagudo-Mendoza, Abel, Mtui, Arafat, Neill, David, Gutierrez, Germaine Alexander Parada, Pardo, Guido, Parren, Marc, Parthasarathy, N., Phillips, Oliver L., Pitman, Nigel C. A., Ploton, Pierre, Ponette, Quentin, Ramesh, B. R., Razafimahaimodison, Jean-Claude, Réjou-Méchain, Maxime, Rolim, Samir Gonçalves, Saltos, Hugo Romero, Rossi, Luiz Marcelo Brum, Spironello, Wilson Roberto, Rovero, Francesco, Saner, Philippe, Sasaki, Denise, Schulze, Mark, Silveira, Marcos, Singh, James, Sist, Plinio, Sonke, Bonaventure, Soto, J. Daniel, de Souza, Cintia Rodrigues, Stropp, Juliana, Sullivan, Martin J. P., Swanepoel, Ben, ter Steege, Hans, Terborgh, John, Texier, Nicolas, Toma, Takeshi, Valencia, Renato, Valenzuela, Luis, Ferreira, Leandro Valle, Valverde, Fernando Cornejo, Van Andel, Tinde R., Vasque, Rodolfo, Verbeeck, Hans, Vivek, Pandi, Vleminckx, Jason, Vos, Vincent A., Wagner, Fabien H., Papi Puspa, Warsudi, Wortel, Verginia, Zagt, Roderick J., and Zebaze, Donatien

Published
2018

9. Decadal forest dynamics in logged and unlogged sites at Uppangala, Western Ghats, India

Author

Vincy K Wilson, Parthasarathy N, and Ayyappan Narayanan

Subjects
Tropical Climate, India, Forestry, General Medicine, Forests, Management, Monitoring, Policy and Law, Pollution, Environmental Monitoring, Trees, General Environmental Science
Abstract

Selective logging disrupts forests, changing their structure and species composition. Long-term monitoring helps in identifying the factors influencing it and aids in designing management plans. We conducted a quantitative re-assessment of trees ≥ 30 cm girth at breast height in four 1 ha plots in logged and two 1 ha plots in adjacent unlogged compartments of Uppangala forest continuum in the Western Ghats, India to compare the structural and compositional changes after a decade (2010-2021). Altogether, four species disappeared and three species were newly recruited. Mean species richness and stem density of both the forest sites decreased. Logged plots showed a slight increase in basal area (2.5%) and biomass (5.1%), whereas unlogged plots showed a decline in basal area (3.92%) and biomass (2.9%). As compared to unlogged plots, all the demographic rates were higher for logged forest sites. Across the six individual plots, the growth rates varied significantly owing to wood density and forest strata categories. Non-metric multidimensional scaling (NMDS) identified three groups with significant difference in species composition, where logged and unlogged plots have a distinct composition except for one plot. Although species richness and stem diversity remained stable, the species composition is different 37 years after logging, and the impacts of logging are still evident in the forest.

Published
2022

10. Tallo database

Author

Jucker, Tommaso, Fischer, Fabian Jörg, Chave, Jérôme, Coomes, David A., Caspersen, John, Ali, Arshad, Loubota Panzou, Grace Jopaul, Feldpausch, Ted R., Falster, Daniel, Usoltsev, Vladimir A., Adu-Bredu, Stephen, Alves, Luciana F., Aminpour, Mohammad, Angoboy, Ilondea B., Anten, Niels P.R., 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, van Breugel, Michiel, Chantrain, Arthur, Chaudhary, Rajeev, Dai, Jingyu, Dalponte, Michele, Dimobe, Kangbéni, Domec, Jean Christophe, Doucet, Jean Louis, Duursma, Remko A., Enríquez, Moisés, van 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, Shenkin, Alexander, Sonké, Bonaventure, Sterck, Frank J., Svátek, Martin, Takagi, Kentaro, Trugman, Anna T., Ullah, Farman, Vadeboncoeur, Matthew A., Valipour, Ahmad, Vanderwel, Mark C., Vovides, Alejandra G., Wang, Weiwei, Wang, Li Qiu, Wirth, Christian, Woods, Murray, Xiang, Wenhua, de Aquino Ximenes, Fabiano, Xu, Yaozhan, Yamada, Toshihiro, Zavala, Miguel A., Jucker, Tommaso, Fischer, Fabian Jörg, Chave, Jérôme, Coomes, David A., Caspersen, John, Ali, Arshad, Loubota Panzou, Grace Jopaul, Feldpausch, Ted R., Falster, Daniel, Usoltsev, Vladimir A., Adu-Bredu, Stephen, Alves, Luciana F., Aminpour, Mohammad, Angoboy, Ilondea B., Anten, Niels P.R., 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, van Breugel, Michiel, Chantrain, Arthur, Chaudhary, Rajeev, Dai, Jingyu, Dalponte, Michele, Dimobe, Kangbéni, Domec, Jean Christophe, Doucet, Jean Louis, Duursma, Remko A., Enríquez, Moisés, van 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, Shenkin, Alexander, Sonké, Bonaventure, Sterck, Frank J., Svátek, Martin, Takagi, Kentaro, Trugman, Anna T., Ullah, Farman, Vadeboncoeur, Matthew A., Valipour, Ahmad, Vanderwel, Mark C., Vovides, Alejandra G., Wang, Weiwei, Wang, Li Qiu, Wirth, Christian, Woods, Murray, Xiang, Wenhua, de Aquino Ximenes, Fabiano, Xu, Yaozhan, Yamada, Toshihiro, and Zavala, Miguel A.

Abstract

The Tallo database (v1.0.0) is 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. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species., The Tallo database (v1.0.0) is 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. Data were compiled from 61,856 globally distributed sites and include measurements for 5,163 tree species. For a full description of the database, see: Jucker et al. (2022) Tallo – a global tree allometry and crown architecture database. Global Change Biology, https://doi.org/10.1111/gcb.16302. If using the Tallo database in your work please cite the original publication listed above, as well as this repository using the corresponding DOI (10.5281/zenodo.6637599).

Published
2022

11. Forest Vegetation and Dynamics Studies in India

Author

Madan Prasad Singh, Manohara Tattekere Nanjappa, Sukumar Raman, Suresh Hebbalalu Satyanatayana, Ayyappan Narayanan, Ganesan Renagaian, and Sreejith Kalpuzha Ashtamoorthy

Abstract

Forests across the globe have been exploited for resouces, and over the years the demand has increased, and forests are rather exploited instead of sustainable use. Focussed research on vegetation and forerst dynamics is necessary to preserve biodiversity and functioning of forests for sustanence of human life on Earth.This article emphasis that the India has a long history of traditional knowledge on forest and plants, and explorations from 17th century on forests and provided subsequent scientific approach on classification of forests. This also explains the developments of quantitative approach on the understanding of vegetation and forest diversity. Four case studies viz., Mudumalai, Sholayar, Uppangala, Kakachi permanent plots in the forests of Western Ghats has been explained in detail about their sampling methods with a note on the results of forest monitoring. In the case of deciduous forests, the population of plant species showed considerable fluctuations but basal area has been steadily increasing over time, and this is reflecting carbon sequestration. In Sholayar, a total of 25390 individuals of 106 woody species was recorded for < 1 cm diameter at breast height in the first census of the 10 ha plot in the tropical evergreen forest. In Uppangala, 1) a 27- year long investigation revealed that residual impact of logging in the evergreen forests and such forests would take more time to resemble unlogged forests in terms of composition and structure; 2) across a similar temporal scale, the unlogged plots trees < 30 cm gbh showed a more or less similar trend in mortality (an average of 0.8% year-1) and recruitment (1%). The Kakachi plot study revealed that 1) endemic species showed least change in stem density and basal area whereas widely distributed species showed greater change in both; 2) The overall recruitment of trees was 0.86 % per year and mortality 0.56% per year resulting in an annual turnover of 0.71% ; 3) majority of the gap species had high levels of recruitment and mortality resulting in a high turnover.Such studies can be used as early warning system to understand how the response of individual plants, species and forests with the climatic variability. In conclusion, the necessity of implementation of national level projects, the way forward of two such studies: 1) impact of climate change on Indian forests through Indian Council of Forestry Research and Education (ICFRE) colloborations and 2) Indian long term ecological observatorion, including the sampling protocols of such studies. This will be the first of its kind in India to address climate change issues at national and international level and helps to trace footprints of climate change impacts through vegetation and also reveals to what extent our forests are resilient to changes in the climate.

Published
2022

12. Using Model Analysis to Unveil Hidden Patterns in Tropical Forest Structures

Author

Picard, Nicolas, primary, Mortier, Frédéric, additional, Ploton, Pierre, additional, Liang, Jingjing, additional, Derroire, Géraldine, additional, Bastin, Jean-François, additional, Ayyappan, Narayanan, additional, Bénédet, Fabrice, additional, Boyemba Bosela, Faustin, additional, Clark, Connie J., additional, Crowther, Thomas W., additional, Engone Obiang, Nestor Laurier, additional, Forni, Éric, additional, Harris, David, additional, Ngomanda, Alfred, additional, Poulsen, John R., additional, Sonké, Bonaventure, additional, Couteron, Pierre, additional, and Gourlet-Fleury, Sylvie, additional

Published
2021
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13. Using model analysis to unveil hidden patterns in tropical forest structures

Author

Picard, Nicolas, Mortier, Frédéric, Ploton, Pierre, Liang, Jingjing, Derroire, Géraldine, Bastin, Jean-François, Ayyappan, Narayanan, Bénédet, Fabrice, Boyemba Bosela, Faustin, Clark, Connie J., Crowther, Thomas W., Engone Obiang, Nestor Laurier, Forni, Eric, Harris, David, Ngomanda, Alfred, Poulsen, John R., Sonké, Bonaventure, Couteron, Pierre, Gourlet-Fleury, Sylvie, Picard, Nicolas, Mortier, Frédéric, Ploton, Pierre, Liang, Jingjing, Derroire, Géraldine, Bastin, Jean-François, Ayyappan, Narayanan, Bénédet, Fabrice, Boyemba Bosela, Faustin, Clark, Connie J., Crowther, Thomas W., Engone Obiang, Nestor Laurier, Forni, Eric, Harris, David, Ngomanda, Alfred, Poulsen, John R., Sonké, Bonaventure, Couteron, Pierre, and Gourlet-Fleury, Sylvie

Abstract

When ordinating plots of tropical rain forests using stand-level structural attributes such as biomass, basal area and the number of trees in different size classes, two patterns often emerge: a gradient frompoorly to highly stocked plots and high positive correlations between biomass, basal area and the number of large trees. These patterns are inherited from the demographics (growth, mortality and recruitment) and size allometry of trees and tend to obscure other patterns, such as site differences among plots, that would be more informative for inferring ecological processes. Using data from 133 rain forest plots at nine sites for which site differences are known, we aimed to filter out these patterns in forest structural attributes to unveil a hidden pattern. Using a null model framework, we generated the anticipated pattern inherited from individual allometric patterns. We then evaluated deviations between the data (observations) and predictions of the null model. Ordination of the deviations revealed site differences that were not evident in the ordination of observations. These sites differences could be related to different histories of large-scale forest disturbance. By filtering out patterns inherited from individuals, our model analysis provides more information on ecological processes.

Published
2021

14. Wetlands for a Sustainable Urban Future: Insights from Pondicherry, South India

Author

Govindan Venkatasubramanian, Nicolas Bautès, Anbarashan Munisamy, Ayyappan Narayanan, Simon Targowla, Raphaël Mathevet, Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-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)-Institut Agro - Montpellier SupAgro, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Université Paul-Valéry - Montpellier 3 (UPVM)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
Fauna, Biodiversity, Wetland, Biodiversity conservation, Regional planning, 0502 economics and business, 11. Sustainability, Ecosystem, Urban lake, Water management, Political ecology, Biodiversity conservation, 050207 economics, Environmental history, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, Recreation, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, 050208 finance, geography.geographical_feature_category, business.industry, 05 social sciences, Environmental resource management, 15. Life on land, Political ecology, 6. Clean water, Geography, 13. Climate action, business, Commons
Abstract

Wetland ecosystems hold an important part of the world’s biodiversity and are complex social-ecological systems. Aiming to understand interdependencies among their components and to define management policies, the social-ecological trajectory of Oussudu lake – a wetland of Pondicherry region in South India – was reconstructed and analysed. During the last decades, this wetland has transformed from an irrigation tank to a lake to cater biodiversity conservation and recreation. The environmental history highlights a governance change that has contributed to “black boxing” the wetland’s functional environment and to conceal major water issues at regional and local levels. This study emphasizes the importance of implementing an approach that combines the management of this urban lake commons with a multi-scalar, socio-ecological and multi-stakeholder analysis. A trade-off on the seasonal water regime between different users - including fauna and flora - has to be found.

Published
2020

15. Pantropical variability in tree crown allometry

Author

Michael Schlund, Grace Jopaul Loubota Panzou, Jorge López-Portillo, Yannick Enock Bocko, Ted R. Feldpausch, Jean Joël Loumeto, Simon L. Lewis, Yoshiko Iida, Michael W. Palace, Oliver L. Phillips, Sean T. O’Brien, Lourens Poorter, Cécile Antin, Yaozhan Xu, Quentin Thibaut, Kangbéni Dimobe, Tomas F. Domingues, Arildo S. Dias, Luciana F. Alves, Jérôme Chave, Gustavo Saiz, Sylvanus Mensah, Bonaventure Sonké, Giacomo Sellan, Arthur Chantrain, Karin dos Santos, Frans Bongers, Shem Kuyah, Korotimi Ouedraogo, Elmar Veenendaal, Thomas Drouet, Bhely Angoboy Ilondea, Alejandra G. Vovides, Eduardo S. Brondizio, Pierre Jacques, Uta Berger, Casey M. Ryan, Lindsay F. Banin, Fidele Hien, David A. Coomes, Rosa C. Goodman, Halidou Compaore, Eric Forni, Jonathan Ilunga Muledi, Pierre Ploton, Hans Beeckman, Ben Hur Marimon-Junior, Timothy R. Baker, Beatriz Schwantes Marimon, Jean-Louis Doucet, John L. Godlee, Tommaso Jucker, Edward T. A. Mitchard, Eric Arets, Gloria Djagbletey, Ayyappan Narayanan, Yorick Van Hoef, Nicolas Barbier, Glenn R. Moncrieff, Sam Bowers, Stephanie A. Bohlman, Thom K. Brade, Adeline Fayolle, Raphaël Pélissier, Adama Diallo, Luzmila Arroyo, Kofi Affum-Baffoe, Tze Leong Yao, Frank Sterck, Sylvie Gourlet-Fleury, University of Exeter, Université de Liège - Gembloux, University of Bristol [Bristol], University of Leeds, University of Florida [Gainesville] (UF), Smithsonian Tropical Research Institute, Lake Ecosystems Group [Lancaster, U.K.] (Centre for Ecology & Hydrology), Lancaster Environment Centre [Lancaster, U.K.], University College of London [London] (UCL), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-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), Wageningen Environmental Research (Alterra), Universidad Autonoma Gabriel René Moreno (UAGRM), Royal Museum for Central Africa [Tervuren] (RMCA), Technische Universität Dresden = Dresden University of Technology (TU Dresden), Université Marien Ngouabi, Wageningen University and Research [Wageningen] (WUR), University of Edinburgh, Indiana University [Bloomington], Indiana University System, Evolution et Diversité Biologique (EDB), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Institut de l'Environnement et Recherches Agricoles [Ouagadougou] (INERA), Institut de Recherche pour le Développement (IRD), University of Cambridge [UK] (CAM), Goethe-University Frankfurt am Main, Université libre de Bruxelles (ULB), Forêts et Sociétés (UPR Forêts et Sociétés), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Département Environnements et Sociétés (Cirad-ES), Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS), and Centre national de la recherche scientifique et technologique [Ouagadougou] (CNRST)

Subjects
0106 biological sciences, Bos- en Landschapsecologie, Biome, Precipitation, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, 01 natural sciences, forest, Soil, Savanna, Forest and Landscape Ecology, Tropical biomes, Global and Planetary Change, Ecology, Crown (botany), Vegetation, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, PE&RC, crown allometry, Geography, Plantenecologie en Natuurbeheer, Vegetatie, Bos- en Landschapsecologie, Interception, environment, Woody plant, Pantropical, Plant Ecology and Nature Conservation, precipitation, Environment, 010603 evolutionary biology, Ecology and Environment, soil, Stand‐level variable, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Bosecologie en Bosbeheer, Forest, Crown allometry, Vegetatie, Ecology, Evolution, Behavior and Systematics, tropical biomes, 010604 marine biology & hydrobiology, Tropics, 15. Life on land, savanna, Forest Ecology and Forest Management, stand-level variable, Vegetation, Forest and Landscape Ecology, Allometry, [SDE.BE]Environmental Sciences/Biodiversity and Ecology
Abstract

Aim:\ud \ud Tree crowns determine light interception, carbon and water exchange. Thus, understanding the factors causing tree crown allometry to vary at the tree and stand level matters greatly for the development of future vegetation modelling and for the calibration of remote sensing products. Nevertheless, we know little about large‐scale variation and determinants in tropical tree crown allometry. In this study, we explored the continental variation in scaling exponents of site‐specific crown allometry and assessed their relationships with environmental and stand‐level variables in the tropics.\ud \ud Location:\ud \ud Global tropics.\ud \ud Time period:\ud \ud Early 21st century.\ud \ud Major taxa :\ud \ud Woody plants.\ud \ud Methods:\ud \ud Using a dataset of 87,737 trees distributed among 245 forest and savanna sites across the tropics, we fitted site‐specific allometric relationships between crown dimensions (crown depth, diameter and volume) and stem diameter using power‐law models. Stand‐level and environmental drivers of crown allometric relationships were assessed at pantropical and continental scales.\ud \ud Results:\ud \ud The scaling exponents of allometric relationships between stem diameter and crown dimensions were higher in savannas than in forests. We identified that continental crown models were better than pantropical crown models and that continental differences in crown allometric relationships were driven by both stand‐level (wood density) and environmental (precipitation, cation exchange capacity and soil texture) variables for both tropical biomes. For a given diameter, forest trees from Asia and savanna trees from Australia had smaller crown dimensions than trees in Africa and America, with crown volumes for some Asian forest trees being smaller than those of trees in African forests.\ud \ud Main conclusions:\ud \ud Our results provide new insight into geographical variability, with large continental differences in tropical tree crown allometry that were driven by stand‐level and environmental variables. They have implications for the assessment of ecosystem function and for the monitoring of woody biomass by remote sensing techniques in the global tropics.

Published
2020

16. The woody flora of Shettihalli Wildlife Sanctuary, central Western Ghats of Karnataka, India - A checklist.

Author

Babu, Kanda Naveen, Ayushi, Kurian, Wilson, Vincy K., Ayyappan, Narayanan, and Parthasarathy, Narayanaswamy

Subjects
WILDLIFE refuges, CONSERVATION of natural resources, PLANT diversity, INTRODUCED plants, FOREST conservation, WOODY plants
Abstract

Documenting the biodiversity of protected areas and reserve forests is important to researchers, academicians and forest departments in their efforts to establish policies to protect regional biodiversity. Shettihalli Wildlife Sanctuary (SWS) is an important protected area located in the central Western Ghats of Karnataka state known for its diverse flora and fauna with distinct ecological features. For the last four decades the sanctuary has witnessed the loss of forest cover, yet the vegetation in few locations is relatively undisturbed. The current inventory was undertaken during 2019–2020 to provide a checklist of woody species from SWS under-researched earlier. The list comprises 269 species of trees, lianas and shrubs distributed in 207 genera and 68 families. The most diverse families are Fabaceae, Moraceae, Rubiaceae, Rutaceae, Lauraceae, Apocynaceae, Meliaceae, Malvaceae, Phyllanthaceae, and Anacardiaceae, representing 48% of total woody flora. The sanctuary shelters 263 native and six exotic plant species. Thirty-nine species were endemic to the Western Ghats, five species to peninsular India and one species to the Western Ghats and Andaman & Nicobar Islands. Four forest types, i.e., dry deciduous, moist deciduous, semi-evergreen, and evergreen forests, are represented in the sanctuary. Of the total species, only seven occurred in all forest types, while 111 species are exclusive to a single forest type. One-hundred-and-four taxa were assessed for the International Union for Conservation of Nature & Natural Resources (IUCN) Red List. Ten species that fall under Near Threatened, Vulnerable, and Endangered categories were encountered occasionally. The baseline data generated on plant diversity will be useful in highlighting the importance of these forests for species conservation and forest management. Such data form a cornerstone for further research. For instance, to understand the effect of invasive species and human impacts on the diversity of the region. [ABSTRACT FROM AUTHOR]

Published
2021
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17. Pan-tropical prediction of forest structure from the largest trees

Author

UCL - SST/ELI/ELIE - Environmental Sciences, Zebaze, Donatien, Bastin, Jean-François, Rutishauser, Ervan, Kellner, James R., Saatchi, Sassan, Pélissier, Raphael, Hérault, Bruno, Slik, Ferry, Bogaert, Jan, De Cannière, Charles, Marshall, Andrew R., Poulsen, John, Alvarez-Loyayza, Patricia, Andrade, Ana, Angbonga-Basia, Albert, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Ayyappan, Narayanan, de Azevedo, Celso Paulo, Banki, Olaf, Barbier, Nicolas, Barroso, Jorcely G., Beeckman, Hans, Bitariho, Robert, Boeckx, Pascal, Boehning-Gaese, Katrin, Brandão, Hilandia, Brearley, Francis Q., Breuer Ndoundou Hockemba, Mireille, Brienen, Roel, Camargo, Jose Luis C., Campos-Arceiz, Ahimsa, cassart benoît, Chave, Jérôme, Chazdon, Robin, Chuyong, Georges, Clark, David B., Clark, Connie J., Condit, Richard, Honorio Coronado, Euridice N., Davidar, Priya, de Haulleville, Thalès, Descroix, Laurent, Doucet, Jean-Louis, Dourdain, Aurelie, Droissart, Vincent, Duncan, Thomas, Silva Espejo, Javier, Espinosa, Santiago, Farwig, Nina, Fayolle, Adeline, Feldpausch, Ted R., Ferraz, Antonio, Fletcher, Christine, Gajapersad, Krisna, Gillet, Jean-François, Amaral, Iêda Leão do, Gonmadje, Christelle, Grogan, James, Harris, David, Herzog, Sebastian K., Homeier, Jürgen, Hubau, Wannes, Hubbell, Stephen P., Hufkens, Koen, Hurtado, Johanna, Kamdem, Narcisse G., Kearsley, Elizabeth, Kenfack, David, Kessler, Michael, Labrière, Nicolas, Laumonier, Yves, Laurance, Susan, Laurance, William F., Lewis, Simon L., Libalah, Moses B., Ligot, Gauthier, Lloyd, Jon, Lovejoy, Thomas E., Malhi, Yadvinder, Marimon, Beatriz S., Marimon Junior, Ben Hur, Martin, Emmanuel H., Matius, Paulus, Meyer, Victoria, Mendoza Bautista, Casimero, Monteagudo-Mendoza, Abel, Mtui, Arafat, Neill, David, Parada Gutierrez, Germaine Alexander, Pardo, Guido, Parren, Marc, Parthasarathy, N., Phillips, Oliver L., Pitman, Nigel C. A., Ploton, Pierre, Ponette, Quentin, Ramesh, B. R., Razafimahaimodison, Jean-Claude, Réjou-Méchain, Maxime, Rolim, Samir Gonçalves, Saltos, Hugo Romero, UCL - SST/ELI/ELIE - Environmental Sciences, Zebaze, Donatien, Bastin, Jean-François, Rutishauser, Ervan, Kellner, James R., Saatchi, Sassan, Pélissier, Raphael, Hérault, Bruno, Slik, Ferry, Bogaert, Jan, De Cannière, Charles, Marshall, Andrew R., Poulsen, John, Alvarez-Loyayza, Patricia, Andrade, Ana, Angbonga-Basia, Albert, Araujo-Murakami, Alejandro, Arroyo, Luzmila, Ayyappan, Narayanan, de Azevedo, Celso Paulo, Banki, Olaf, Barbier, Nicolas, Barroso, Jorcely G., Beeckman, Hans, Bitariho, Robert, Boeckx, Pascal, Boehning-Gaese, Katrin, Brandão, Hilandia, Brearley, Francis Q., Breuer Ndoundou Hockemba, Mireille, Brienen, Roel, Camargo, Jose Luis C., Campos-Arceiz, Ahimsa, cassart benoît, Chave, Jérôme, Chazdon, Robin, Chuyong, Georges, Clark, David B., Clark, Connie J., Condit, Richard, Honorio Coronado, Euridice N., Davidar, Priya, de Haulleville, Thalès, Descroix, Laurent, Doucet, Jean-Louis, Dourdain, Aurelie, Droissart, Vincent, Duncan, Thomas, Silva Espejo, Javier, Espinosa, Santiago, Farwig, Nina, Fayolle, Adeline, Feldpausch, Ted R., Ferraz, Antonio, Fletcher, Christine, Gajapersad, Krisna, Gillet, Jean-François, Amaral, Iêda Leão do, Gonmadje, Christelle, Grogan, James, Harris, David, Herzog, Sebastian K., Homeier, Jürgen, Hubau, Wannes, Hubbell, Stephen P., Hufkens, Koen, Hurtado, Johanna, Kamdem, Narcisse G., Kearsley, Elizabeth, Kenfack, David, Kessler, Michael, Labrière, Nicolas, Laumonier, Yves, Laurance, Susan, Laurance, William F., Lewis, Simon L., Libalah, Moses B., Ligot, Gauthier, Lloyd, Jon, Lovejoy, Thomas E., Malhi, Yadvinder, Marimon, Beatriz S., Marimon Junior, Ben Hur, Martin, Emmanuel H., Matius, Paulus, Meyer, Victoria, Mendoza Bautista, Casimero, Monteagudo-Mendoza, Abel, Mtui, Arafat, Neill, David, Parada Gutierrez, Germaine Alexander, Pardo, Guido, Parren, Marc, Parthasarathy, N., Phillips, Oliver L., Pitman, Nigel C. A., Ploton, Pierre, Ponette, Quentin, Ramesh, B. R., Razafimahaimodison, Jean-Claude, Réjou-Méchain, Maxime, Rolim, Samir Gonçalves, and Saltos, Hugo Romero

Abstract

Aim: Large tropical trees form the interface between ground and airborne observations, offering a unique opportunity to capture forest properties remotely and to investigate their variations on broad scales. However, despite rapid development of metrics to characterize the forest canopy from remotely sensed data, a gap remains between aerial and field inventories. To close this gap, we propose a new pan‐tropical model to predict plot‐level forest structure properties and biomass from only the largest trees. Location: Pan‐tropical. Time period: Early 21st century. Major taxa studied: Woody plants. Methods: Using a dataset of 867 plots distributed among 118 sites across the tropics, we tested the prediction of the quadratic mean diameter, basal area, Lorey’s height, community wood density and aboveground biomass (AGB) from the ith largest trees. Results: Measuring the largest trees in tropical forests enables unbiased predictions of plot‐ and site‐level forest structure. The 20 largest trees per hectare predicted quadratic mean diameter, basal area, Lorey’s height, community wood density and AGB with 12, 16, 4, 4 and 17.7% of relative error, respectively. Most of the remaining error in biomass prediction is driven by differences in the proportion of total biomass held in medium‐sized trees (50–70 cm diameter at breast height), which shows some continental dependency, with American tropical forests presenting the highest proportion of total biomass in these intermediate‐diameter classes relative to other continents. Main conclusions: Our approach provides new information on tropical forest structure and can be used to generate accurate field estimates of tropical forest carbon stocks to support the calibration and validation of current and forthcoming space missions. It will reduce the cost of field inventories and contribute to scientific understanding of tropical forest ecosystems and response to climate change.

Published
2018

18. Toward a general tropical forest biomass prediction model from very high resolution optical satellite images

Author

Ploton, Pierre, Dauby, Gilles, Droissart, Vincent, Gastellu-Etchegorry, Jean-Philippe J., Guy Kamdem, Narcisse, Kenfack, David, Libalah, Moses, Mofack, Gislain II, Momo, Stéphane Takoudjou, Pargal, Sourabh, Petronelli, Pascal, Barbier, Nicolas Serge, Proisy, Christophe, Rejou-Mechain, Maxime, Sonke, Bonaventure, Texier, Nicolas, Thomas, Duncan W, Verley, Philippe, Zebaze Dongmo, D., Berger, Uta, Pélissier, Raphaël, Couteron, Piere, Antin, Cécile C.M., Ayyappan, Narayanan, Balachandran, Natesan, Barathan, N., Bastin, Jean-François, Chuyong, Georges, Ploton, Pierre, Dauby, Gilles, Droissart, Vincent, Gastellu-Etchegorry, Jean-Philippe J., Guy Kamdem, Narcisse, Kenfack, David, Libalah, Moses, Mofack, Gislain II, Momo, Stéphane Takoudjou, Pargal, Sourabh, Petronelli, Pascal, Barbier, Nicolas Serge, Proisy, Christophe, Rejou-Mechain, Maxime, Sonke, Bonaventure, Texier, Nicolas, Thomas, Duncan W, Verley, Philippe, Zebaze Dongmo, D., Berger, Uta, Pélissier, Raphaël, Couteron, Piere, Antin, Cécile C.M., Ayyappan, Narayanan, Balachandran, Natesan, Barathan, N., Bastin, Jean-François, and Chuyong, Georges

Abstract

Very high spatial resolution (VHSR) optical satellite imagery has shown good potential to provide non-saturating proxies of tropical forest aboveground biomass (AGB) from the analysis of canopy texture, for instance through the Fourier Transform Textural Ordination method. Empirical case studies however showed that the relationship between Fourier texture features and forest AGB varies across forest types and regions of the world, limiting model transferability. A better understanding of the biophysical mechanisms on which canopy texture – forest AGB relation relies is a prerequisite to move toward broad scale applications. Here we simulated VHSR optical canopy scenes in identical sun-sensor geometry for 279 1-ha tropical forest inventory plots distributed across the tropics. Our aim was to assess the respective merits and complementarity of two types of texture analysis techniques (i.e. Fourier and lacunarity) on a set of forests with contrasted structure and geographical origin, and develop a general texture-based approach for tropical forest AGB mapping. Across forests, Fourier texture captured a gradient of stands mean crown size reflecting well the progressive changes in stand structure throughout forest aggradation phase (e.g. Pearson's r = − 0.42 with basal area) while lacunarity texture captured a gradient of canopy openness (, i.e. Pearson's r = − 0.57 with stand gap fraction). Both types of texture indices were highly complementary for predicting forest AGB at the global level (so-called FL-model). The residual error of the FL-model was structured across sites and could be partially captured with a bioclimatic proxy, further improving the performance of the global model (so-called FLE-model) and reducing site-level biases. The FLE model was tested on a set of real Pleiades images covering a mosaic of high-biomass forests in the Congo basin (mean AGB over 49 field plots: 359 ± 98 Mg ha− 1), leading to a significant relationship (R2 = 0.47 on validation data, SCOPUS: ar.j, info:eu-repo/semantics/published

Published
2017

19. Contribution to the knowledge of tree species of Lao PDR with IDAO system

Author

Prospéri, Maria-Juliana, Lamxay, Vichith, Ramesh, B.R., Ayyappan, Narayanan, Bompard, Jean Marie, Cardinal, Sarah, and Grard, Pierre

Subjects
F40 - Écologie végétale, K01 - Foresterie - Considérations générales, F70 - Taxonomie végétale et phytogéographie
Abstract

The implementation of biodiversity conservation actions depends on our capacity to measure and mapping their components. To achieve this important work it is necessary to know the identity of the species in order to organize their inventory. With the aim to contribute to reducing the "taxonomic impediment", we use the interactive computer-aided identification system called IDAO. Within the framework of the Forest Biodiversity Inventory in Lao PDR (Opération Canopée, Hallé et al.), we enrich an existing knowledge base. In this study, we focused on the Phou Hin Poun National Park, Khammouane province. This location offers a variety of contrasting sites in a karstic valley. Thus, among more than 300 trees samples, 115 where analyzed, 104 were identified at species level and 11 at genus level. Our results show a high trees species diversity of which more than 10% would be new for the country. Making available such results of the widest audience with a simple and efficient identification tools is one condition for the protection of tropical forest resources and particularly trees. In this sense, IDAO system allows a non-expert user to identify species in the field. In effect, it was designed for training purposes and to help non-botanists in the identification process. Unique in its kind, this identification system is completely graphic. It built a theoretical plant following botanical characters selected by the user. It differs from classical dichotomous keys offering a multi-entry system, allows identification of incomplete samples and certain level of observational errors. IDAO enables users to make determinations of taxa by an algorithm, generating rules as required at any stage of identification, as the way by which experts do. We emphasize the needs for more plant collecting and identification work in this region to improve training and capacity building in plant taxonomy through IDAO approach.

Published
2015

20. Twenty years tree demography in an undisturbed dipterocarp Permanent Sample Plot at Uppangala, Western Ghats of India

Author

Raphaël Pélissier, Jean-Pierre Pascal, Ayyappan Narayanan, Ramesh, B. R., Aravajy, S., Ramalingam, S., Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), and Govindaraj, Saravanan

Subjects
Dendrometer bands, recruitment, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, tree inventory data, tree growth, India, species demography, [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Dipterocarp forest, forest dynamics monitoring, mortality, tropical rain forest, Western Ghats
Abstract

International audience; We provide a data set on demography of trees monitored over 20 years in Uppangala permanent sample plot (UPSP) in undisturbed, old-growth wet evergreen Dipterocarp forest located within the Pushpagiri Wildlife Sanctuary in India's Western Ghats biodiversity hotspot. During 1989–1990, all trees ≥30 cm girth at breast height (gbh) were sampled in five north–south transects 20 m wide and 180–370 m long covering a total area of 3.12 ha. In 1992–1993, additional rectangular plots were established, bringing the total area sampled to 5.07 ha. In all, 3870 trees were identified, tagged, mapped, and provided with permanent dendrometer bands. Since then, the sampled area has been regularly censused at 3–5-year intervals, recording tree recruitment, mortality, and growth. We present data from censuses conducted in 1990–1993, 1994, 1997–1998, 2001–2002, 2007, and 2010. These data have been used to study the natural forest dynamics and to calibrate spatially explicit simulation models.

Published
2011

21. Organisation spatiale de la diversité des arbres des forêts tropicales aux échelles régionales : enjeux méthodologiques et application dans les Ghâts occidentaux de l’Inde

Author

Raphaël Pélissier, Ayyappan Narayanan, Champak Reddy Beeravolu, Belna, K., Ramalingam, S., Ramesh, B. R., Dilip Venugopal, P., Pierre Couteron, François Munoz, Olivier Hardy, Institut de Recherche pour le Développement (IRD), Institut Français de Pondichéry (IFP), Ministère de l'Europe et des Affaires étrangères (MEAE)-Centre National de la Recherche Scientifique (CNRS), Université Montpellier 2 - Sciences et Techniques (UM2), Université libre de Bruxelles (ULB), Institut Français de Pondichéry, MEDD, Nivet, C. (ed.), McKey, D. (ed.), and Legris, C. (ed.)

Subjects
Organisation spatiale de la diversité des arbres des forêts tropicales aux échelles régionales : enjeux méthodologiques et application dans les Ghâts occidentaux de l’Inde, FORET, STRUCTURE DU PEUPLEMENT, BIODIVERSITE, ETUDE REGIONALE, FACTEUR ECOLOGIQUE, DIVERSITE SPECIFIQUE, MODELISATION, DISPERSION, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, VARIATION SPATIALE, PHYTOECOLOGIE, BIOGEOGRAPHIE, ETUDE COMPARATIVE, RELATION ESPECE ENVIRONNEMENT, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, DYNAMIQUE DE VEGETATION, ZONE DE MONTAGNE
Published
2008

23. BioTIME: A database of biodiversity time series for the Anthropocene

Author

<p>Funding information available at <a href="https://doi.org/10.1111/geb.12729" target="_blank" title="Link to publication">https://doi.org/10.1111/geb.12729</a></p>, Dornelas, Maria, Antão, Laura H., Moyes, Faye, Bates, Amanda E., Magurran, Anne E., Adam, Dušan, Akhmetzhanova, Asem A., Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H., Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti-Cecchi, Lisandro, Bett, Brian J., Bjorkman, Anne D., Błażewicz, Magdalena, Blowes, Shane A., Bloch, Christopher P., Bonebrake, Timothy C., Boyd, Susan, Bradford, Matt, Brooks, Andrew J., Brown, James H., Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda-Moya, Edward, Chen, Chaolun Allen, Chamblee, John F., Chase, Tory J., Siegwart Collier, Laura, Collinge, Sharon K., Condit, Richard, Cooper, Elisabeth J., Cornelissen, J Hans C., Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H., Davis, Robert A., Day, Frank P., Degraer, Steven, Doherty, Tim S., Dunn, Timothy E., Durigan, Giselda, Duffy, J. Emmett, Edelist, Dor, Edgar, Graham J., Elahi, Robin, Elmendorf, Sarah C., Enemar, Anders, Ernest, S. K. Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S., Fan, Tung-Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z., Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E., Fraser, William R., García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone-Barbosa, Elizabeth, Gould, William A., Gries, Corinna, Grossman, Gary D., Gutierréz, Julio R., Hale, Stephen, Harmon, Mark E., Harte, John, Haskins, Gary, Henshaw, Donald L., Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D., Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih-Hao, Hubbell, Stephen P., Huettmann, Falk, Huffard, Christine L., Hurlbert, Allen H., Macedo Ivanauskas, Natália, Janík, David, Jandt, Ute, Jażdżewska, Anna, Johannessen, Tore, Johnstone, Jill, Jones, Julia, Jones, Faith A. M., Kang, Jungwon, Kartawijaya, Tasrif, Keeley, Erin C., Kelt, Douglas A., Kinnear, Rebecca, Klanderud, Kari, Knutsen, Halvor, Koenig, Christopher C., Kortz, Alessandra R., Král, Kamil, Kuhnz, Linda A., Kuo, Chao-Yang, Kushner, David J., Laguionie-Marchais, Claire, Lancaster, Lesley T., Min Lee, Cheol, Lefcheck, Jonathan S., Lévesque, Esther, Lightfoot, David, Lloret, Francisco, Lloyd, John D., López-Baucells, Adrià, Louzao, Maite, Madin, Joshua S., Magnússon, Borgþór, Malamud, Shahar, Matthews, Iain, McFarland, Kent P., McGill, Brian, McKnight, Diane, McLarney, William O., Meador, Jason, Meserve, Peter L., Metcalfe, Daniel J., Meyer, Christoph F. J., Michelsen, Anders, Milchakova, Nataliya, Moens, Tom, Moland, Even, Moore, Jon, Mathias Moreira, Carolina, Müller, Jörg, Murphy, Grace, Myers-Smith, Isla H., Myster, Randall W., Naumov, Andrew, Neat, Francis, Nelson, James A., Paul Nelson, Michael, Newton, Stephen F., Norden, Natalia, Oliver, Jeffrey C., Olsen, Esben M., Onipchenko, Vladimir G., Pabis, Krzysztof, Pabst, Robert J., Paquette, Alain, Pardede, Sinta, Paterson, David M., Pélissier, Raphaël, Peñuelas, Josep, Pérez-Matus, Alejandro, Pizarro, Oscar, Pomati, Francesco, Post, Eric, Prins, Herbert H. T., Priscu, John C., Provoost, Pieter, Prudic, Kathleen L., Pulliainen, Erkki, Ramesh, B. R., Mendivil Ramos, Olivia, Rassweiler, Andrew, Rebelo, Jose Eduardo, Reed, Daniel C., Reich, Peter B., Remillard, Suzanne M., Richardson, Anthony J., Richardson, J. Paul, van Rijn, Itai, Rocha, Ricardo, Rivera-Monroy, Victor H., Rixen, Christian, Robinson, Kevin P., Ribeiro Rodrigues, Ricardo, de Cerqueira Rossa-Feres, Denise, Rudstam, Lars, Ruhl, Henry, Ruz, Catalina S., Sampaio, Erica M., Rybicki, Nancy, Rypel, Andrew, Sal, Sofia, Salgado, Beatriz, Santos, Flavio A. M., Savassi-Coutinho, Ana Paula, Scanga, Sara, Schmidt, Jochen, Schooley, Robert, Setiawan, Fakhrizal, Shao, Kwang-Tsao, Shaver, Gaius R., Sherman, Sally, Sherry, Thomas W., Siciński, Jacek, Sievers, Caya, da Silva, Ana Carolina, Rodrigues da Silva, Fernando, Silveira, Fabio L., Slingsby, Jasper, Smart, Tracey, Snell, Sara J., Soudzilovskaia, Nadejda A., Souza, Gabriel B. G., Maluf Souza, Flaviana, Castro Souza, Vinícius, Stallings, Christopher D., Stanforth, Rowan, Stanley, Emily H., Mauro Sterza, José, Stevens, Maarten, Stuart-Smith, Rick, Rondon Suarez, Yzel, Supp, Sarah, Yoshio Tamashiro, Jorge, Tarigan, Sukmaraharja, Thiede, Gary P., Thorn, Simon, Tolvanen, Anne, Teresa Zugliani Toniato, Maria, Totland, Ørjan, Twilley, Robert R., Vaitkus, Gediminas, Valdivia, Nelson, Vallejo, Martha Isabel, Valone, Thomas J., Van Colen, Carl, Vanaverbeke, Jan, Venturoli, Fabio, Verheye, Hans M., Vianna, Marcelo, Vieira, Rui P., Vrška, Tomáš, Quang Vu, Con, Van Vu, Lien, Waide, Robert B., Waldock, Conor, Watts, Dave, Webb, Sara, Wesołowski, Tomasz, White, Ethan P., Widdicombe, Claire E., Wilgers, Dustin, Williams, Richard, Williams, Stefan B., Williamson, Mark, Willig, Michael R., Willis, Trevor J., Wipf, Sonja, Woods, Kerry D., Woehler, Eric J., Zawada, Kyle, Zettler, Michael L., <p>Funding information available at <a href="https://doi.org/10.1111/geb.12729" target="_blank" title="Link to publication">https://doi.org/10.1111/geb.12729</a></p>, Dornelas, Maria, Antão, Laura H., Moyes, Faye, Bates, Amanda E., Magurran, Anne E., Adam, Dušan, Akhmetzhanova, Asem A., Appeltans, Ward, Arcos, José Manuel, Arnold, Haley, Ayyappan, Narayanan, Badihi, Gal, Baird, Andrew H., Barbosa, Miguel, Barreto, Tiago Egydio, Bässler, Claus, Bellgrove, Alecia, Belmaker, Jonathan, Benedetti-Cecchi, Lisandro, Bett, Brian J., Bjorkman, Anne D., Błażewicz, Magdalena, Blowes, Shane A., Bloch, Christopher P., Bonebrake, Timothy C., Boyd, Susan, Bradford, Matt, Brooks, Andrew J., Brown, James H., Bruelheide, Helge, Budy, Phaedra, Carvalho, Fernando, Castañeda-Moya, Edward, Chen, Chaolun Allen, Chamblee, John F., Chase, Tory J., Siegwart Collier, Laura, Collinge, Sharon K., Condit, Richard, Cooper, Elisabeth J., Cornelissen, J Hans C., Cotano, Unai, Kyle Crow, Shannan, Damasceno, Gabriella, Davies, Claire H., Davis, Robert A., Day, Frank P., Degraer, Steven, Doherty, Tim S., Dunn, Timothy E., Durigan, Giselda, Duffy, J. Emmett, Edelist, Dor, Edgar, Graham J., Elahi, Robin, Elmendorf, Sarah C., Enemar, Anders, Ernest, S. K. Morgan, Escribano, Rubén, Estiarte, Marc, Evans, Brian S., Fan, Tung-Yung, Turini Farah, Fabiano, Loureiro Fernandes, Luiz, Farneda, Fábio Z., Fidelis, Alessandra, Fitt, Robert, Fosaa, Anna Maria, Daher Correa Franco, Geraldo Antonio, Frank, Grace E., Fraser, William R., García, Hernando, Cazzolla Gatti, Roberto, Givan, Or, Gorgone-Barbosa, Elizabeth, Gould, William A., Gries, Corinna, Grossman, Gary D., Gutierréz, Julio R., Hale, Stephen, Harmon, Mark E., Harte, John, Haskins, Gary, Henshaw, Donald L., Hermanutz, Luise, Hidalgo, Pamela, Higuchi, Pedro, Hoey, Andrew, Van Hoey, Gert, Hofgaard, Annika, Holeck, Kristen, Hollister, Robert D., Holmes, Richard, Hoogenboom, Mia, Hsieh, Chih-Hao, Hubbell, Stephen P., Huettmann, Falk, Huffard, Christine L., Hurlbert, Allen H., Macedo Ivanauskas, Natália, Janík, David, Jandt, Ute, Jażdżewska, Anna, Johannessen, Tore, Johnstone, Jill, Jones, Julia, Jones, Faith A. M., Kang, Jungwon, Kartawijaya, Tasrif, Keeley, Erin C., Kelt, Douglas A., Kinnear, Rebecca, Klanderud, Kari, Knutsen, Halvor, Koenig, Christopher C., Kortz, Alessandra R., Král, Kamil, Kuhnz, Linda A., Kuo, Chao-Yang, Kushner, David J., Laguionie-Marchais, Claire, Lancaster, Lesley T., Min Lee, Cheol, Lefcheck, Jonathan S., Lévesque, Esther, Lightfoot, David, Lloret, Francisco, Lloyd, John D., López-Baucells, Adrià, Louzao, Maite, Madin, Joshua S., Magnússon, Borgþór, Malamud, Shahar, Matthews, Iain, McFarland, Kent P., McGill, Brian, McKnight, Diane, McLarney, William O., Meador, Jason, Meserve, Peter L., Metcalfe, Daniel J., Meyer, Christoph F. J., Michelsen, Anders, Milchakova, Nataliya, Moens, Tom, Moland, Even, Moore, Jon, Mathias Moreira, Carolina, Müller, Jörg, Murphy, Grace, Myers-Smith, Isla H., Myster, Randall W., Naumov, Andrew, Neat, Francis, Nelson, James A., Paul Nelson, Michael, Newton, Stephen F., Norden, Natalia, Oliver, Jeffrey C., Olsen, Esben M., Onipchenko, Vladimir G., Pabis, Krzysztof, Pabst, Robert J., Paquette, Alain, Pardede, Sinta, Paterson, David M., Pélissier, Raphaël, Peñuelas, Josep, Pérez-Matus, Alejandro, Pizarro, Oscar, Pomati, Francesco, Post, Eric, Prins, Herbert H. T., Priscu, John C., Provoost, Pieter, Prudic, Kathleen L., Pulliainen, Erkki, Ramesh, B. R., Mendivil Ramos, Olivia, Rassweiler, Andrew, Rebelo, Jose Eduardo, Reed, Daniel C., Reich, Peter B., Remillard, Suzanne M., Richardson, Anthony J., Richardson, J. Paul, van Rijn, Itai, Rocha, Ricardo, Rivera-Monroy, Victor H., Rixen, Christian, Robinson, Kevin P., Ribeiro Rodrigues, Ricardo, de Cerqueira Rossa-Feres, Denise, Rudstam, Lars, Ruhl, Henry, Ruz, Catalina S., Sampaio, Erica M., Rybicki, Nancy, Rypel, Andrew, Sal, Sofia, Salgado, Beatriz, Santos, Flavio A. M., Savassi-Coutinho, Ana Paula, Scanga, Sara, Schmidt, Jochen, Schooley, Robert, Setiawan, Fakhrizal, Shao, Kwang-Tsao, Shaver, Gaius R., Sherman, Sally, Sherry, Thomas W., Siciński, Jacek, Sievers, Caya, da Silva, Ana Carolina, Rodrigues da Silva, Fernando, Silveira, Fabio L., Slingsby, Jasper, Smart, Tracey, Snell, Sara J., Soudzilovskaia, Nadejda A., Souza, Gabriel B. G., Maluf Souza, Flaviana, Castro Souza, Vinícius, Stallings, Christopher D., Stanforth, Rowan, Stanley, Emily H., Mauro Sterza, José, Stevens, Maarten, Stuart-Smith, Rick, Rondon Suarez, Yzel, Supp, Sarah, Yoshio Tamashiro, Jorge, Tarigan, Sukmaraharja, Thiede, Gary P., Thorn, Simon, Tolvanen, Anne, Teresa Zugliani Toniato, Maria, Totland, Ørjan, Twilley, Robert R., Vaitkus, Gediminas, Valdivia, Nelson, Vallejo, Martha Isabel, Valone, Thomas J., Van Colen, Carl, Vanaverbeke, Jan, Venturoli, Fabio, Verheye, Hans M., Vianna, Marcelo, Vieira, Rui P., Vrška, Tomáš, Quang Vu, Con, Van Vu, Lien, Waide, Robert B., Waldock, Conor, Watts, Dave, Webb, Sara, Wesołowski, Tomasz, White, Ethan P., Widdicombe, Claire E., Wilgers, Dustin, Williams, Richard, Williams, Stefan B., Williamson, Mark, Willig, Michael R., Willis, Trevor J., Wipf, Sonja, Woods, Kerry D., Woehler, Eric J., Zawada, Kyle, and Zettler, Michael L.

Abstract

Dornelas, M., Antao, L. H., Moyes, F., Bates, A. E., Magurran, A. E., Adam, D., ... Zetter, M. L.. (2018). BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology and Biogeography, 27(7), 760–786. Available here

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