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2. Amazonian earthworm biodiversity is heavily impacted by ancient and recent human disturbance

Author

Conrado, Ana C., Demetrio, Wilian C., Stanton, David W.G., Bartz, Marie L.C., James, Samuel W., Santos, Alessandra, da Silva, Elodie, Ferreira, Talita, Acioli, Agno N.S., Ferreira, Alexandre C., Maia, Lilianne S., Silva, Telma A.C., Lavelle, Patrick, Velasquez, Elena, Tapia-Coral, Sandra C., Muniz, Aleksander W., Segalla, Rodrigo F., Decaëns, Thibaud, Nadolny, Herlon S., Peña-Venegas, Clara P., Pasini, Amarildo, de Oliveira Júnior, Raimundo C., Kille, Peter, Brown, George G., and Cunha, Luís

Published
2023
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4. Soil macrofauna communities in Brazilian land-use systems

Author

Brown, George G., Demetrio, Wilian C., Gabriac, Quentin, Pasini, Amarildo, Korasaki, Vanesca, Oliveira, Lenita J., Dos Santos, Julia C.F., Torres, Eleno, Galerani, Paulo R., Gazziero, Dionisio L.P., Benito, Norton P., Nunes, Daiane H., Santos, Alessandra, Ferreira, Talita, Nadolny, Herlon S., Bartz, Marie, Maschio, Wagner, Dudas, Rafaela T., Zagatto, Mauricio R.G., Niva, Cintia C., Clasen, Lina, Sautter, Klaus D., Froufe, Luis C.M., Seoane, Carlos Eduardo S., De Moraes, Anibal, James, Samuel, Alberton, Odair, Brandão Júnior, Osvaldino, Saraiva, Odilon, Garcia, Antonio, Oliveira, Elma, César, Raul M., Corrêa-Ferreira, Beatriz S., Bruz, Lilianne S.M., da Silva, Elodie, Cardoso, Gilherme B.X., Lavelle, Patrick, Velasquez, Elena, Cremonesi, Marcus, Parron, Lucília M., Baggio, Amilton J., Neves, Edinelson, Hungria, Mariangela, Campos, Thiago A., da Silva, Wagner L., Reissmann, Carlos B., Conrado, Ana C., Bouillet, Jean-Pierre, Gonçalves, José Leonardo M., Brandani, Carolina B., Viani, Ricardo A.G., Paula, Ranieri Ribeiro, Laclau, Jean-Paul, et al., Brown, George G., Demetrio, Wilian C., Gabriac, Quentin, Pasini, Amarildo, Korasaki, Vanesca, Oliveira, Lenita J., Dos Santos, Julia C.F., Torres, Eleno, Galerani, Paulo R., Gazziero, Dionisio L.P., Benito, Norton P., Nunes, Daiane H., Santos, Alessandra, Ferreira, Talita, Nadolny, Herlon S., Bartz, Marie, Maschio, Wagner, Dudas, Rafaela T., Zagatto, Mauricio R.G., Niva, Cintia C., Clasen, Lina, Sautter, Klaus D., Froufe, Luis C.M., Seoane, Carlos Eduardo S., De Moraes, Anibal, James, Samuel, Alberton, Odair, Brandão Júnior, Osvaldino, Saraiva, Odilon, Garcia, Antonio, Oliveira, Elma, César, Raul M., Corrêa-Ferreira, Beatriz S., Bruz, Lilianne S.M., da Silva, Elodie, Cardoso, Gilherme B.X., Lavelle, Patrick, Velasquez, Elena, Cremonesi, Marcus, Parron, Lucília M., Baggio, Amilton J., Neves, Edinelson, Hungria, Mariangela, Campos, Thiago A., da Silva, Wagner L., Reissmann, Carlos B., Conrado, Ana C., Bouillet, Jean-Pierre, Gonçalves, José Leonardo M., Brandani, Carolina B., Viani, Ricardo A.G., Paula, Ranieri Ribeiro, Laclau, Jean-Paul, and et al.

Abstract

Background: Soil animal communities include more than 40 higher-order taxa, representing over 23% of all described species. These animals have a wide range of feeding sources and contribute to several important soil functions and ecosystem services. Although many studies have assessed macroinvertebrate communities in Brazil, few of them have been published in journals and even fewer have made the data openly available for consultation and further use. As part of ongoing efforts to synthesise the global soil macrofauna communities and to increase the amount of openly-accessible data in GBIF and other repositories related to soil biodiversity, the present paper provides links to 29 soil macroinvertebrate datasets covering 42 soil fauna taxa, collected in various land-use systems in Brazil. A total of 83,085 georeferenced occurrences of these taxa are presented, based on quantitative estimates performed using a standardised sampling method commonly adopted worldwide to collect soil macrofauna populations, i.e. the TSBF (Tropical Soil Biology and Fertility Programme) protocol. This consists of digging soil monoliths of 25 x 25 cm area, with handsorting of the macroinvertebrates visible to the naked eye from the surface litter and from within the soil, typically in the upper 0-20 cm layer (but sometimes shallower, i.e. top 0-10 cm or deeper to 0-40 cm, depending on the site). The land-use systems included anthropogenic sites managed with agricultural systems (e.g. pastures, annual and perennial crops, agroforestry), as well as planted forests and native vegetation located mostly in the southern Brazilian State of Paraná (96 sites), with a few additional sites in the neighbouring states of São Paulo (21 sites) and Santa Catarina (five sites). Important metadata on soil properties, particularly soil chemical parameters (mainly pH, C, P, Ca, K, Mg, Al contents, exchangeable acidity, Cation Exchange Capacity, Base Saturation and, infrequently, total N), particle size distrib

Published
2024

8. Unsustainable landscapes of deforested Amazonia: An analysis of the relationships among landscapes and the social, economic and environmental profiles of farms at different ages following deforestation

Author

Lavelle, Patrick, Dolédec, Sylvain, de Sartre, Xavier Arnauld, Decaëns, Thibaud, Gond, Valery, Grimaldi, Michel, Oszwald, Johan, Hubert, Bernard, Ramirez, Bertha, Veiga, Iran, de Souza, Simão, de Assis, William Santos, Michelotti, Fernando, Martins, Marlucia, Feijoo, Alexander, Bommel, Pierre, Castañeda, Edna, Chacon, Patricia, Desjardins, Thierry, Dubs, Florence, Gordillo, Erika, Guevara, Edward, Fonte, Steven, del Pilar Hurtado, Maria, Lena, Philippe, Lima, Tamara, Marichal, Raphaël, Mitja, Danielle, Miranda, Izildinha, Otero, Tupac, Praxedes, Catarina, Poccard, René, de Robert, Pascale, Rodriguez, Gamaliel, Sanabria, Catalina, Tselouiko, Stéphanie, Velasquez, Alexander, Velasquez, Elena, and Velasquez, Jaime

Published
2016
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11. How Do Recent and Historic Anthropic Changes Affect the Diversity of Earthworms in Amazonian Soils?

Author

Conrado, Ana Carol, primary, Demetrio, Wilian, additional, Stanton, David, additional, Bartz, Marie, additional, Kille, Peter, additional, James, Samuel, additional, Peña-Venegas, Clara, additional, Santos, Alessandra, additional, da Silva, Elodie, additional, Maia, Lilianne, additional, Silva, Telma, additional, Ferreira, Talita, additional, Acioli, Agno, additional, Ferreira, Alexandre, additional, Lavelle, Patrick, additional, Velasquez, Elena, additional, Tapia-Coral, Sandra, additional, Muniz, Aleksander, additional, Segalla, Rodrigo, additional, Decaens, Thibaud, additional, Nadolny, Herlon, additional, Pasini, Amarildo, additional, Oliveira-Junior, Raimundo, additional, Brown, George, additional, and Cunha, Luis, additional

Published
2023
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14. Soil macroinvertebrate communities and ecosystem services in deforested landscapes of Amazonia

Author

Marichal, Raphael, Grimaldi, Michel, Feijoo M., Alexander, Oszwald, Johan, Praxedes, Catarina, Ruiz Cobo, Dario Hernan, del Pilar Hurtado, Maria, Desjardins, Thierry, Silva Junior, Mario Lopes da, Silva Costa, Luiz Gonzaga da, Miranda, Izildinha Souza, Delgado Oliveira, Mariana Nascimento, Brown, George G., Tsélouiko, Stéphanie, Martins, Marlucia Bonifacio, Decaëns, Thibaud, Velasquez, Elena, and Lavelle, Patrick

Published
2014
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21. Soil macroinvertebrate communities: A world-wide assessment

Author

Lavelle, Patrick, Mathieu, Jérôme, Spain, Alister, Brown, George, Fragoso, Carlos, Lapied, Emmanuel, De Aquino, Adriana, Barois, Isabelle, Barrios, Edmundo, Barros, Maria Eleusa, Bedano, Jose Camilo, Blanchart, Eric, Caulfield, Mark, Chagueza, Yamileth, Dai, Jun, Decaëns, Thibaud, Dominguez, Anahi, Dominguez, Yamileth, Feijoo, Alexander, Folgarait, Patricia, Fonte, Steven J., Gorosito, Norma, Huerta, Esperanza, Jimenez, Juan Jose, Kelly, Courtland, Loranger, Gladys, Marchão, Robelio, Marichal, Raphael, Praxedes, Catarina, Rodriguez, Leonardo, Rousseau, Guillaume, Rousseau, Laurent, Ruiz, Nuria, Sanabria, Catalina, Suarez, Juan Carlos, Tondoh, Jerôme Ebagnerin, De Valença, Anne, Vanek, Steven J., Vasquez, Joel, Velasquez, Elena, Webster, Emily, Zhang, Chi, Lavelle, Patrick, Mathieu, Jérôme, Spain, Alister, Brown, George, Fragoso, Carlos, Lapied, Emmanuel, De Aquino, Adriana, Barois, Isabelle, Barrios, Edmundo, Barros, Maria Eleusa, Bedano, Jose Camilo, Blanchart, Eric, Caulfield, Mark, Chagueza, Yamileth, Dai, Jun, Decaëns, Thibaud, Dominguez, Anahi, Dominguez, Yamileth, Feijoo, Alexander, Folgarait, Patricia, Fonte, Steven J., Gorosito, Norma, Huerta, Esperanza, Jimenez, Juan Jose, Kelly, Courtland, Loranger, Gladys, Marchão, Robelio, Marichal, Raphael, Praxedes, Catarina, Rodriguez, Leonardo, Rousseau, Guillaume, Rousseau, Laurent, Ruiz, Nuria, Sanabria, Catalina, Suarez, Juan Carlos, Tondoh, Jerôme Ebagnerin, De Valença, Anne, Vanek, Steven J., Vasquez, Joel, Velasquez, Elena, Webster, Emily, and Zhang, Chi

Abstract

Aim: Macroinvertebrates comprise a highly diverse set of taxa with great potential as indicators of soil quality. Communities were sampled at 3,694 sites distributed world-wide. We aimed to analyse the patterns of abundance, composition and network characteristics and their relationships to latitude, mean annual temperature and rainfall, land cover, soil texture and agricultural practices. Location: Sites are distributed in 41 countries, ranging from 55° S to 57° N latitude, from 0 to 4,000 m in elevation, with annual rainfall ranging from 500 to >3,000 mm and mean temperatures of 5–32°C. Time period: 1980–2018. Major taxa studied: All soil macroinvertebrates: Haplotaxida; Coleoptera; Formicidae; Arachnida; Chilopoda; Diplopoda; Diptera; Isoptera; Isopoda; Homoptera; Hemiptera; Gastropoda; Blattaria; Orthoptera; Lepidoptera; Dermaptera; and “others”. Methods: Standard ISO 23611-5 sampling protocol was applied at all sites. Data treatment used a set of multivariate analyses, principal components analysis (PCA) on macrofauna data transformed by Hellinger’s method, multiple correspondence analysis for environmental data (latitude, elevation, temperature and average annual rainfall, type of vegetation cover) transformed into discrete classes, coinertia analysis to compare these two data sets, and bias-corrected and accelerated bootstrap tests to evaluate the part of the variance of the macrofauna data attributable to each of the environmental factors. Network analysis was performed. Each pairwise association of taxonomic units was tested against a null model considering local and regional scales, in order to avoid spurious correlations. Results: Communities were separated into five clusters reflecting their densities and taxonomic richness. They were significantly influenced by climatic conditions, soil texture and vegetation cover. Abundance and diversity, highest in tropical forests (1,895 ± 234 individuals/m2) and savannahs (1,796 ± 72 individuals/m2), progressively

Published
2022

22. Soil macroinvertebrate communities: A world-wide assessment

Author

Jiménez, Juan J. [0000-0003-2398-0796], Lavelle, Patrick, Mathieu, Jérôme, Spain, Alister, Brown, George, Fragoso, Carlos, Lapied, Emmanuel, De Aquino, Adriana, Barois, Isabelle, Barrios, Edmundo, Barros, Maria Eleusa, Bedano, Jose Camilo, Blanchart, Eric, Caulfield, Mark, Chagueza, Yamileth, Dai, Jun, Decaëns, Thibaud, Dominguez, Anahi, Dominguez, Yamileth, Feijoo, Alexander, Folgarait, Patricia, Fonte, Steven J., Gorosito, Norma, Huerta, Esperanza, Jiménez, Juan J., Kelly, Courtland, Loranger, Gladys, Marchão, Robelio, Marichal, Raphael, Praxedes, Catarina, Rodríguez, Leonardo, Rousseau, Guillaume, Rousseau, Laurent, Ruiz, Nuria, Sanabria, Catalina, Suárez Salazar, Juan Carlos, Tondoh, Jerôme Ebagnerin, De Valença, Anne, Vanek, Steven J., Vasquez, Joel, Velasquez, Elena, Webster, Emily, Zhang, Chi, Jiménez, Juan J. [0000-0003-2398-0796], Lavelle, Patrick, Mathieu, Jérôme, Spain, Alister, Brown, George, Fragoso, Carlos, Lapied, Emmanuel, De Aquino, Adriana, Barois, Isabelle, Barrios, Edmundo, Barros, Maria Eleusa, Bedano, Jose Camilo, Blanchart, Eric, Caulfield, Mark, Chagueza, Yamileth, Dai, Jun, Decaëns, Thibaud, Dominguez, Anahi, Dominguez, Yamileth, Feijoo, Alexander, Folgarait, Patricia, Fonte, Steven J., Gorosito, Norma, Huerta, Esperanza, Jiménez, Juan J., Kelly, Courtland, Loranger, Gladys, Marchão, Robelio, Marichal, Raphael, Praxedes, Catarina, Rodríguez, Leonardo, Rousseau, Guillaume, Rousseau, Laurent, Ruiz, Nuria, Sanabria, Catalina, Suárez Salazar, Juan Carlos, Tondoh, Jerôme Ebagnerin, De Valença, Anne, Vanek, Steven J., Vasquez, Joel, Velasquez, Elena, Webster, Emily, and Zhang, Chi

Abstract

[Aim] Macroinvertebrates comprise a highly diverse set of taxa with great potential as indicators of soil quality. Communities were sampled at 3,694 sites distributed world-wide. We aimed to analyse the patterns of abundance, composition and network characteristics and their relationships to latitude, mean annual temperature and rainfall, land cover, soil texture and agricultural practices., [Location] Sites are distributed in 41 countries, ranging from 55° S to 57° N latitude, from 0 to 4,000 m in elevation, with annual rainfall ranging from 500 to >3,000 mm and mean temperatures of 5–32°C., [Time period] 1980–2018., [Major taxa studied] All soil macroinvertebrates: Haplotaxida; Coleoptera; Formicidae; Arachnida; Chilopoda; Diplopoda; Diptera; Isoptera; Isopoda; Homoptera; Hemiptera; Gastropoda; Blattaria; Orthoptera; Lepidoptera; Dermaptera; and “others”., [Methods] Standard ISO 23611-5 sampling protocol was applied at all sites. Data treatment used a set of multivariate analyses, principal components analysis (PCA) on macrofauna data transformed by Hellinger’s method, multiple correspondence analysis for environmental data (latitude, elevation, temperature and average annual rainfall, type of vegetation cover) transformed into discrete classes, coinertia analysis to compare these two data sets, and bias-corrected and accelerated bootstrap tests to evaluate the part of the variance of the macrofauna data attributable to each of the environmental factors. Network analysis was performed. Each pairwise association of taxonomic units was tested against a null model considering local and regional scales, in order to avoid spurious correlations., [Results] Communities were separated into five clusters reflecting their densities and taxonomic richness. They were significantly influenced by climatic conditions, soil texture and vegetation cover. Abundance and diversity, highest in tropical forests (1,895 ± 234 individuals/m2) and savannahs (1,796 ± 72 individuals/m2), progressively decreased in tropical cropping systems (tree-associated crops, 1,358 ± 120 individuals/m2; pastures, 1,178 ± 154 individuals/m2; and annual crops, 867 ± 62 individuals/m2), temperate grasslands (529 ± 60 individuals/m2), forests (232 ± 20 individuals/m2) and annual crops (231 ± 24 individuals/m2) and temperate dry forests and shrubs (195 ± 11 individuals/m2). Agricultural management decreased overall abundance by ≤54% in tropical areas and 64% in temperate areas. Connectivity varied with taxa, with dominant positive connections in litter transformers and negative connections with ecosystem engineers and Arachnida. Connectivity and modularity were higher in communities with low abundance and taxonomic richness., [Main conclusions] Soil macroinvertebrate communities respond to climatic, soil and land-cover conditions. All taxa, except termites, are found everywhere, and communities from the five clusters cover a wide range of geographical and environmental conditions. Agricultural practices significantly decrease abundance, although the presence of tree components alleviates this effect.

Published
2022

23. Soil macroinvertebrate communities: A world‐wide assessment

Author

Lavelle, Patrick, primary, Mathieu, Jérôme, additional, Spain, Alister, additional, Brown, George, additional, Fragoso, Carlos, additional, Lapied, Emmanuel, additional, De Aquino, Adriana, additional, Barois, Isabelle, additional, Barrios, Edmundo, additional, Barros, Maria Eleusa, additional, Bedano, Jose Camilo, additional, Blanchart, Eric, additional, Caulfield, Mark, additional, Chagueza, Yamileth, additional, Dai, Jun, additional, Decaëns, Thibaud, additional, Dominguez, Anahi, additional, Dominguez, Yamileth, additional, Feijoo, Alexander, additional, Folgarait, Patricia, additional, Fonte, Steven J., additional, Gorosito, Norma, additional, Huerta, Esperanza, additional, Jimenez, Juan Jose, additional, Kelly, Courtland, additional, Loranger, Gladys, additional, Marchão, Robelio, additional, Marichal, Raphael, additional, Praxedes, Catarina, additional, Rodriguez, Leonardo, additional, Rousseau, Guillaume, additional, Rousseau, Laurent, additional, Ruiz, Nuria, additional, Sanabria, Catalina, additional, Suarez, Juan Carlos, additional, Tondoh, Jerôme Ebagnerin, additional, De Valença, Anne, additional, Vanek, Steven J., additional, Vasquez, Joel, additional, Velasquez, Elena, additional, Webster, Emily, additional, and Zhang, Chi, additional

Published
2022
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24. Atlantic Forest restoration recovers physical and biological properties in the short term, but not the general soil quality.

Author

de Vasconcelos, Tatiana Cabral, Londe, Vinícius, Velasquez, Elena, Lavelle, Patrick, and Rodrigues, Ricardo Ribeiro

Subjects
FOREST restoration, SOIL quality, SOIL fertility, SOIL degradation, RESTORATION ecology
Abstract

Ecological restoration has the potential to improve and recover soil quality, helping to mitigate soil degradation worldwide. However, soil monitoring is often overlooked in restoration, preventing a comprehensive understanding of how restoration interventions affect soil quality and the time required for recovering different soil properties. Herein, we tested if MAR areas (moderately assisted recovery—tree plantings) in the early restoration stage have better soil quality (and ecosystem services) than UNR areas (unassisted natural recovery—abandoned pastures) and pastures in continuous use (PCU). We collected 72 soil samples in three 5‐year‐old MAR areas and three 5‐year‐old UNR areas, one PCU, and one reference ecosystem (RE) in the Brazilian Atlantic Forest (Mata Atlantica). A total of 45 variables representing macrofauna, fertility, structure, and aggregation were measured and then submitted to multivariate analyses to compute sub‐indicators and a general indicator of soil quality (GISQ). The richness of orders and classes, cationic exchange capacity, total porosity, and biogenic aggregates contributed the most to the sub‐indicators. MAR and UNR areas had similar values to the RE for macrofauna, structure, and aggregation sub‐indicators, but they were far below the RE for fertility. In addition, all areas had lower GISQ values than the RE. Soils were classified as high quality in RE and medium quality in other areas. Our study evidences that some soils' physical and biological properties can be rapidly recovered through forest restoration, but 5 years is not enough time to change the general soil quality and make restoration areas have better conditions than the previous land use. If the restoration goal is to have high soil quality in the short term, corrective actions should be taken to improve soil fertility and help the area along the desired trajectory. [ABSTRACT FROM AUTHOR]

Published
2023
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26. Ecosystem services of regulation and support in Amazonian pioneer fronts: searching for landscape drivers

Author

Grimaldi, Michel, Oszwald, Johan, Dolédec, Sylvain, Hurtado, Maria del Pilar, de Souza Miranda, Izildinha, Arnauld de Sartre, Xavier, Assis, William Santos de, Castañeda, Edna, Desjardins, Thierry, Dubs, Florence, Guevara, Edward, Gond, Valery, Lima, Tâmara Thaiz Santana, Marichal, Raphaël, Michelotti, Fernando, Mitja, Danielle, Noronha, Norberto Cornejo, Delgado Oliveira, Mariana Nascimento, Ramirez, Bertha, Rodriguez, Gamaliel, Sarrazin, Max, Silva, Jr., Mário Lopes da, Costa, Luiz Gonzaga Silva, Souza, Simão Lindoso de, Veiga, Iran, Velasquez, Elena, and Lavelle, Patrick

Published
2014
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33. A "Dirty" Footprint: Macroinvertebrate diversity in Amazonian Anthropic Soils.

Author

Demetrio, Wilian C., Conrado, Ana C., Acioli, Agno N. S., Ferreira, Alexandre C., Bartz, Marie L. C., James, Samuel W., da Silva, Elodie, Maia, Lilianne S., Martins, Gilvan C., Macedo, Rodrigo S., Stanton, David W. G., Lavelle, Patrick, Velasquez, Elena, Zangerlé, Anne, Barbosa, Rafaella, Tapia‐Coral, Sandra C., Muniz, Aleksander W., Santos, Alessandra, Ferreira, Talita, and Segalla, Rodrigo F.

Subjects
SOIL chemistry, SOILS, SOIL fertility, SPECIES pools, ZOOLOGY, ECOLOGICAL impact
Abstract

Amazonian rainforests, once thought to be pristine wilderness, are increasingly known to have been widely inhabited, modified, and managed prior to European arrival, by human populations with diverse cultural backgrounds. Amazonian Dark Earths (ADEs) are fertile soils found throughout the Amazon Basin, created by pre‐Columbian societies with sedentary habits. Much is known about the chemistry of these soils, yet their zoology has been neglected. Hence, we characterized soil fertility, macroinvertebrate communities, and their activity at nine archeological sites in three Amazonian regions in ADEs and adjacent reference soils under native forest (young and old) and agricultural systems. We found 673 morphospecies and, despite similar richness in ADEs (385 spp.) and reference soils (399 spp.), we identified a tenacious pre‐Columbian footprint, with 49% of morphospecies found exclusively in ADEs. Termite and total macroinvertebrate abundance were higher in reference soils, while soil fertility and macroinvertebrate activity were higher in the ADEs, and associated with larger earthworm quantities and biomass. We show that ADE habitats have a unique pool of species, but that modern land use of ADEs decreases their populations, diversity, and contributions to soil functioning. These findings support the idea that humans created and sustained high‐fertility ecosystems that persist today, altering biodiversity patterns in Amazonia. [ABSTRACT FROM AUTHOR]

Published
2021
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34. Global Soil Biodiversity Atlas

Author

Blaud, Aimeric, Vizzini, Alfredo, Quadros, Aline, Bastos, Ana, Bissett, Andrew, Young, Andrew, Zaitsev, Andrey S., Murray, Andy, Yin Yee Kong, Angela, Fitzgerald, Anna, Zangerlé, Anne, Adams, Byron J., MacDonald, Catriona, Gardi, Ciro, Menta, Cristina, Bagyaraj, Davis Joseph, Renard, Delphine, Abalos, Diego, Mckey, Doyle, Velasquez, Elena, Silva, Elisangela A., Doblas-Miranda, Enrique, Blanchart, Eric, Lumini, Erica, Barreno, Eva, Sillo, Fabiano, Vaz-de-Mello, Fernando Z., Bampa, Francesca, Buscot, Francois, Verheijen, Frank G. A., Janssen, Frans, Wallender, Håkan, Segers, Hendrik, Okada, Hiroaki, Barois Boullard, Isabelle, Tuf, Ivan H., Bloem, Jaap, Keizer, Jan Jacob, Belnap, Jayne, Mathieu, Jérôme, Tondoh, Jerome E., Jiménez, Juan J., Louzada, Júlio, Zhang, Junling, Cares, Juvenil Enrique, Totsche, Kai Uwe, Ritz, Karl, Purdy, Kevin, Küsel, Kirsten, Gongalsky, Konstantin, Ranjard, Lionel, Galli, Loris, Giordano, Luana, Seldin, Lucy, Schrama, Maarten, Girlanda, Mariangela, Dunbar, Martha B., Zimmer, Martin, Nagano, Masahiro, Dita, Miguel, Pulleman, Mirjam, Pauli, Natasha, Chemidlin Prévost-Bouré, Nicolas, Carrera, Noela, Trivedi, Pankaj, Gonthier, Paul, Mele, Pauline, Mortimer, Peter, Andrés, Pilar, Creamer, Rachel, Guicharnaud, Rannveig Anna, Constantino, Reginaldo, Dick, Richard, Griffiths, Robert I., van Klink, Roel, Zanetti, Ronald, Schmelz, Rüdiger, Dequiedt, Samuel, Emery, Sarah, Ohdachi, Satoshi, Shimano, Satoshi, Karasawa, Shigeori, Yu, Shixiao, Stürmer, Sidney L., Adl, Sina, Konaté, Souleymane, Banwart, Steven, Fonte, Steven J., Trumbore, Susan, Loureiro, Susana, Komatsu, Takashi, Tsunoda, Tomonori, Nielsen, Uffe N., Bianciotto, Valeria, Orgiazzi, Alberto, Bardgett, Richard, Barrios, Edmundo, Behan-Pelletier, Valerie, Briones, Maria J. I., Chotte, Jean-Luc, De Deyn, Gerlinde B., Eggleton, Paul, Fierer, Noah, Fraser, Tandra, Hedlund, Katarina, Jeffery, Simon, Johnson, Nancy, Jones, Arwyn, Kandeler, Ellen, Kaneko, Nobuhiro, Lavelle, Patrick, Lemanceau, Philippe, Miko, Ladislav, Moreira, Fatima M. S., Ramirez, Kelly S., Scheu, Stefan, Singh, Brajesh, Six, Johan, van der Putten, Wim, Wall, Diana, University of Sheffield, Universita di Torino, Universidade Federal do Rio Grande do Sul (UFRGS), CESAM, Universidade de Aveiro, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Russian Academy of Sciences [Moscow] (RAS), Independent, Columbia University [New York], Bioplatforms Australia, Partenaires INRAE, Technical University Braunschweig, Brigham Young University (BYU), Western Sydney University, European Food Safety Authority (EFSA), University of Parma = Università degli studi di Parma [Parme, Italie], Centre for Natural Biological Resources and Community Development, McGill University = Université McGill [Montréal, Canada], University of Guelph, Université de Montpellier (UM), National University of Colombia, Federal University of Rondônia, Centre for Ecological Research and Forestry Applications (CREAF), Institut de Recherche pour le Développement (IRD), Consiglio Nazionale delle Ricerche (CNR), Universitat de València (UV), Universidade Federal de Mato Grosso (UFMT), Teagasc Agriculture and Food Development Authority (Teagasc), Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), University of Antwerp (UA), Lund University [Lund], Royal Belgian Institute of Natural Sciences (RBINS), National Institute of Agro-Environmental Sciences (NIAES), Inecol : Instituto de Ecologia A.C., Palacky University Olomouc, Alterra Green World Research (ALTERRA), Wageningen University and Research Centre (WUR), United States Geological Survey (USGS), Université Pierre et Marie Curie - Paris 6 (UPMC), World Agroforestry Centre, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Universidade Federal de Lavras (UFLA), China Agricultural University (CAU), Universidade de Brasília (UnB), Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], University of Nottingham, UK (UON), University of Warwick, German Centre for Integrative Biodiversity Research (iDiv), A.N. Severtsov Institute of Ecology and Evolution, Agroécologie [Dijon], Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, University of Genoa (UNIGE), Universidade Federal do Rio de Janeiro (UFRJ), University of Manchester [Manchester], Joint Research Centre of the European Commission, Leibniz Center for Tropical Marine Ecology, Oita University, Empresa Brasileira de Pesquisa Agropecuária (Embrapa), Ministério da Agricultura, Pecuária e Abastecimento [Brasil] (MAPA), Governo do Brasil-Governo do Brasil, International Center for Tropical Agriculture [Colombie] (CIAT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), University of Western Australia, Universidade de Vigo, Department of Economic Development, Jobs, Transport and Resources (DEDJTR), La Trobe University, Ohio State University [Columbus] (OSU), Natural Environment Research Council (NERC), Czech Academy of Sciences [Prague] (CAS), ECT Oekotoxikologie GmbH, University of Louisville, Hokkaido University [Sapporo, Japan], Hosei University [Chiyoda], Fukuoka University, Sun Yat-Sen University [Guangzhou] (SYSU), Universidade Regional de Blumenau (FURB), University of Saskatchewan, Université Nangui Abrogoua, Colorado State University [Fort Collins] (CSU), Max-Planck-Institut, Kyushu University, Yokohama National University, European Commission's Joint Research Centre, Agriculture and Agri-Food [Ottawa] (AAFC), ProdInra, Migration, Universidade Federal do Rio Grande do Sul [Porto Alegre] (UFRGS), Technische Universität Braunschweig = Technical University of Braunschweig [Braunschweig], Università degli studi di Parma = University of Parma (UNIPR), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), Universidade Federal de Lavras = Federal University of Lavras (UFLA), University of Warwick [Coventry], Università degli studi di Genova = University of Genoa (UniGe), The University of Western Australia (UWA), Hosei University, University of Saskatchewan [Saskatoon] (U of S), Université Nangui Abrogoua (UNA), and Agriculture and Agri-Food (AAFC)

Subjects
[SDV] Life Sciences [q-bio], [SDE] Environmental Sciences, Centre Commun de Recherche, [SDV]Life Sciences [q-bio], JRC, [SDE]Environmental Sciences, Global Soil Biodiversity Initiative, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, European Commission, CCR, GSBI
Abstract

SPE EA Pôle BIOME The Atlas is divided in 8 chapters covering all the aspects of soil biodiversity: - Chapter I: The soil habitat - Chapter II: Diversity of soil organisms - Chapter III: Geographical and temporal distribution - Chapter IV: Ecosystem functions and services - Chapter V: Threats - Chapter VI: Interventions - Chapter VII: Policy, education and outreach - Chapter VIII: Conclusions Soil biodiversity experts from all over the world are involved in the project aiming at the creation of a reference publication not only for soil biodiversity researchers but also policy makers and general public.; International audience; The Global Soil Biodiversity Initiative (GSBI) and the Joint Research Centre (JRC) of European Commission announce the writing of the Global Soil Biodiversity Atlas (GSBA) in the frame of the Global Soil Biodiversity Assessment. The Atlas is a series of amazing photos, maps, charts, statistics, and shared information that scientists, educators, policy makers, and non-specialists alike can use as a toolkit for knowing and understanding soil biodiversity globally.

Published
2016

35. Soil Animals and Pedogenesis

Author

Cunha, Luis, primary, Brown, George G., additional, Stanton, David W. G., additional, Da Silva, Elodie, additional, Hansel, Fabricio A., additional, Jorge, Gabriella, additional, McKey, Doyle, additional, Vidal-Torrado, Pablo, additional, Macedo, Rodrigo S., additional, Velasquez, Elena, additional, James, Samuel W., additional, Lavelle, Patrick, additional, and Kille, Peter, additional

Published
2016
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36. Ecosystem Engineers in a Self-organized Soil

Author

Lavelle, Patrick, primary, Spain, Alister, additional, Blouin, Manuel, additional, Brown, George, additional, Decaëns, Thibaud, additional, Grimaldi, Michel, additional, Jiménez, Juan José, additional, McKey, Doyle, additional, Mathieu, Jérôme, additional, Velasquez, Elena, additional, and Zangerlé, Anne, additional

Published
2016
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37. AMAZ Identifying socio economic levers for a sustainable provision of ecosystem services in deforested amazonian landscapes

Author

Lavelle, Patrick, Weiga, I., Ramirez, B., De Sartre, A., Gond, Valéry, Decaëns, Thibaud, Grimaldi, Michel, Hubert, Bernard, Doledec, S., Tourrand, Jean-François, Miranda, Ileana, Martins, M., Velasquez, Elena, Feijoo, Alexander, Assis, William, Rocha, C., De Souza, S.I., and Hurtado, M.P.

Subjects
K01 - Foresterie - Considérations générales, P01 - Conservation de la nature et ressources foncières, gestion des ressources naturelles, U30 - Méthodes de recherche
Published
2009

38. How to manage and analyse a large biodiversity data set: the case of the regional ‘RMQS Biodiv' experience

Author

Cluzeau, Daniel, Pérès, Guénola, Cannavacciuolo, Mario, Bellido, Alain, Guernion, Muriel, Ruiz, Nuria, Cortet, Jérôme, Mateille, Thierry, Velasquez, Elena, Martin-Laurent, Fabrice, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Ecole supérieure d'Agricultures d'Angers (ESA), Biodiversité et fonctionnement du sol (BIOSOL), Université Pierre et Marie Curie - Paris 6 (UPMC)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Laboratoire Sols et Environnement (LSE), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Centre de Biologie pour la Gestion des Populations (UMR CBGP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université de Montpellier (UM)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (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), Facultad de Agronomia, Bogota, Facultad de Agronomia, Microbiologie du Sol et de l'Environnement (MSE), Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB), Briand, Valerie, Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes, biodiversité, évolution [Rennes] ( ECOBIO ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -INEE-Observatoire des Sciences de l'Univers de Rennes ( OSUR ) -Centre National de la Recherche Scientifique ( CNRS ), Ecole Supérieure d'Agriculture d'Angers ( ESAA ), Ecole Supérieure d'Agriculture d'Angers, Biodiversité et fonctionnement du sol ( BIOSOL ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Université Paris Diderot - Paris 7 ( UPD7 ) -Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ), Laboratoire Sols et Environnement ( LSE ), Institut National de la Recherche Agronomique ( INRA ) -Université de Lorraine ( UL ), Centre de Biologie pour la Gestion des Populations ( CBGP ), Centre de Coopération Internationale en Recherche Agronomique pour le Développement ( CIRAD ) -Centre international d'études supérieures en sciences agronomiques ( Montpellier SupAgro ) -Institut national de la recherche agronomique [Montpellier] ( INRA Montpellier ) -Université de Montpellier ( UM ) -Institut de Recherche pour le Développement ( IRD [France-Sud] ) -Institut national d’études supérieures agronomiques de Montpellier ( Montpellier SupAgro ), Microbiologie du Sol et de l'Environnement ( MSE ), and Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB )

Subjects
[ SDU.ENVI ] Sciences of the Universe [physics]/Continental interfaces, environment, ComputingMethodologies_GENERAL, Biodiversity, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, [SDU.ENVI] Sciences of the Universe [physics]/Continental interfaces, environment, management
Abstract

posterFR2116poster

Published
2008

39. How to manage and analyse a large biodiversity data set: the data mining approach of the regional 'RMQS BioDiv' experience

Author

Cluzeau, Daniel, Guénola Pérès, Cannavacciuolo, Mario, Bellido, Alain, Guernion, Muriel, Fargette, Mireille, Ruiz, Nuria, Cortet, Jérôme, Mateille, Thierry, Martin-Laurent, Fabrice, Velasquez, Elena, Mercier, Vincent, Bispo, Antonio, Villenave, Cécile, Ranjard, Lionel, Chaussod, Rémi, Rougé, Laurence, Jolivet, Claudy, Mercier-Foucault, Blandine, and Jean-François Ponge

Published
2008
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40. Structure du paysage et diversités endogées en forêt guyanaise

Author

Harry, M. (coord.), Abbad, S., Bousserrhine, N., Célini, Léonide, Demanche, C., Dupont, L., Garnier-Zarli, E., Gond, V., Lavelle, Patrick, Leduc, C., Mora, Philippe, Rouland, Corinne, Roy, V., Velasquez, Elena, Bonhême, I. (ed.), Appora, V. (ed.), Atramentowicz, M. (ed.), and Gillon, Yves (ed.)

Subjects
FORET, SOL CULTIVE, FAUNE DU SOL, DIVERSITE SPECIFIQUE, UNITE DE PAYSAGE, forêt tropicale, Isoptera, FACTEUR ANTHROPIQUE, ABONDANCE, K01 - Foresterie - Considérations générales, MICROFAUNE, Micro-organisme, VARIABILITE GENETIQUE, DEFRICHEMENT, Paysage, BIODIVERSITE, TERMITE, Impact sur l'environnement, JACHERE, STRUCTURE GENETIQUE, Écologie animale, L20 - Écologie animale, Biodiversité, Micro-organisme du sol, UTILISATION DU SOL, Faune
Published
2006

41. Utilisation de la télédétection et de données socio-économiques et écologiques pour comprendre l'impact des dynamiques de l'occupation des sols à Pacajà (Brésil)

Author

Oszwald, Johan, primary, Arnauld de Sartre, Xavier, additional, Decaëns, Thibaud, additional, Gond, Valéry, additional, Grimaldi, Michel, additional, Lefèbvre, Antoine, additional, De Araujo Fretas, Rafael Luis, additional, Lindoso de Souza, Simao, additional, Marichal, Raphaël, additional, Veiga, Iran, additional, Velasquez, Elena, additional, and Lavelle, Patrick, additional

Published
2014
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