Search

Your search keyword '"Macía, Manuel J."' showing total 194 results
Start Over Author "Macía, Manuel J." Language english
194 results on '"Macía, Manuel J."'

2. Global patterns of tree density are contingent upon local determinants in the world’s natural forests

Author

Madrigal-González, Jaime, Calatayud, Joaquín, Ballesteros-Cánovas, Juan A., Escudero, Adrián, Cayuela, Luis, Marqués, Laura, Rueda, Marta, Ruiz-Benito, Paloma, Herrero, Asier, Aponte, Cristina, Sagardia, Rodrigo, Plumptre, Andrew J., Dupire, Sylvain, Espinosa, Carlos I., Tutubalina, Olga V., Myint, Moe, Pataro, Luciano, López-Sáez, Jerome, Macía, Manuel J., Abegg, Meinrad, Zavala, Miguel A., Quesada-Román, Adolfo, Vega-Araya, Mauricio, Golubeva, Elena, Timokhina, Yuliya, Bañares de Dios, Guillermo, Granzow-de la Cerda, Íñigo, and Stoffel, Markus

Published
2023
Full Text
View/download PDF

3. FunAndes – A functional trait database of Andean plants

Author

Báez, Selene, Cayuela, Luis, Macía, Manuel J., Álvarez-Dávila, Esteban, Apaza-Quevedo, Amira, Arnelas, Itziar, Baca-Cortes, Natalia, Bañares de Dios, Guillermo, Bauters, Marijn, Ben Saadi, Celina, Blundo, Cecilia, Cabrera, Marian, Castaño, Felipe, Cayola, Leslie, de Aledo, Julia G., Espinosa, Carlos Iván, Fadrique, Belén, Farfán-Rios, William, Fuentes, Alfredo, Garnica-Díaz, Claudia, González, Mailyn, González, Diego, Hensen, Isabell, Hurtado, Ana Belén, Jadán, Oswaldo, Lippok, Denis, Loza, M. Isabel, Maldonado, Carla, Malizia, Lucio, Matas-Granados, Laura, Myers, Jonathan A., Norden, Natalia, Oliveras Menor, Imma, Pierick, Kerstin, Ramírez-Angulo, Hirma, Salgado-Negret, Beatriz, Schleuning, Matthias, Silman, Miles, Solarte-Cruz, María Elena, Tello, J. Sebastián, Verbeeck, Hans, Vilanova, Emilio, Weithmann, Greta, and Homeier, Jürgen

Published
2022
Full Text
View/download PDF

5. Amazon tree dominance across forest strata

Author

Draper, Frederick C., Costa, Flavia R. C., Arellano, Gabriel, Phillips, Oliver L., Duque, Alvaro, Macía, Manuel J., ter Steege, Hans, Asner, Gregory P., Berenguer, Erika, Schietti, Juliana, Socolar, Jacob B., de Souza, Fernanda Coelho, Dexter, Kyle G., Jørgensen, Peter M., Tello, J. Sebastian, Magnusson, William E., Baker, Timothy R., Castilho, Carolina V., Monteagudo-Mendoza, Abel, Fine, Paul V. A., Ruokolainen, Kalle, Coronado, Euridice N. Honorio, Aymard, Gerardo, Dávila, Nállarett, Sáenz, Mauricio Sánchez, Paredes, Marcos A. Rios, Engel, Julien, Fortunel, Claire, Paine, C. E. Timothy, Goret, Jean-Yves, Dourdain, Aurelie, Petronelli, Pascal, Allie, Elodie, Andino, Juan E. Guevara, Brienen, Roel J. W., Pérez, Leslie Cayola, Manzatto, Ângelo G., Zambrana, Narel Y. Paniagua, Molino, Jean-François, Sabatier, Daniel, Chave, Jerôme, Fauset, Sophie, Villacorta, Roosevelt Garcia, Réjou-Méchain, Maxime, Berry, Paul E., Melgaço, Karina, Feldpausch, Ted R., Sandoval, Elvis Valderamma, Martinez, Rodolfo Vasquez, Mesones, Italo, Junqueira, André B., Roucoux, Katherine H., de Toledo, José J., Andrade, Ana C., Camargo, José Luís, del Aguila Pasquel, Jhon, Santana, Flávia D., Laurance, William F., Laurance, Susan G., Lovejoy, Thomas E., Comiskey, James A., Galbraith, David R., Kalamandeen, Michelle, Aguilar, Gilberto E. Navarro, Arenas, Jim Vega, Guerra, Carlos A. Amasifuen, Flores, Manuel, Llampazo, Gerardo Flores, Montenegro, Luis A. Torres, Gomez, Ricardo Zarate, Pansonato, Marcelo P., Moscoso, Victor Chama, Vleminckx, Jason, Barrantes, Oscar J. Valverde, Duivenvoorden, Joost F., de Sousa, Sidney Araújo, Arroyo, Luzmila, Perdiz, Ricardo O., Cravo, Jessica Soares, Marimon, Beatriz S., Junior, Ben Hur Marimon, Carvalho, Fernanda Antunes, Damasco, Gabriel, Disney, Mathias, Vital, Marcos Salgado, Diaz, Pablo R. Stevenson, Vicentini, Alberto, Nascimento, Henrique, Higuchi, Niro, Van Andel, Tinde, Malhi, Yadvinder, Ribeiro, Sabina Cerruto, Terborgh, John W., Thomas, Raquel S., Dallmeier, Francisco, Prieto, Adriana, Hilário, Renato R., Salomão, Rafael P., Silva, Richarlly da Costa, Casas, Luisa F., Vieira, Ima C. Guimarães, Araujo-Murakami, Alejandro, Arevalo, Fredy Ramirez, Ramírez-Angulo, Hirma, Torre, Emilio Vilanova, Peñuela, Maria C., Killeen, Timothy J., Pardo, Guido, Jimenez-Rojas, Eliana, Castro, Wenderson, Cabrera, Darcy Galiano, Pipoly, John, de Sousa, Thaiane Rodrigues, Silvera, Marcos, Vos, Vincent, Neill, David, Vargas, Percy Núñez, Vela, Dilys M., Aragão, Luiz E. O. C., Umetsu, Ricardo Keichi, Sierra, Rodrigo, Wang, Ophelia, Young, Kenneth R., Prestes, Nayane C. C. S., Massi, Klécia G., Huaymacari, José Reyna, Gutierrez, Germaine A. Parada, Aldana, Ana M., Alexiades, Miguel N., Baccaro, Fabrício, Céron, Carlos, Muelbert, Adriane Esquivel, Rios, Julio M. Grandez, Lima, Antonio S., Lloyd, Jonathan L., Pitman, Nigel C. A., Gamarra, Luis Valenzuela, Oroche, Cesar J. Cordova, Fuentes, Alfredo F., Palacios, Walter, Patiño, Sandra, Torres-Lezama, Armando, and Baraloto, Christopher

Published
2021
Full Text
View/download PDF

7. Elevational range sizes of woody plants increase with climate variability in the Tropical Andes.

Author

Montaño‐Centellas, Flavia, Fuentes, Alfredo F., Cayola, Leslie, Macía, Manuel J., Arellano, Gabriel, Loza, M. Isabel, Nieto‐Ariza, Beatriz, and Tello, J. Sebastián

Subjects
PLANT size, TROPICAL climate, BODY size, CLIMATE change, GLOBAL warming
Abstract

Aim: The climate variability hypothesis proposes that species subjected to wide variation in climatic conditions will evolve wider niches, resulting in larger distributions. We test this hypothesis in tropical plants across a broad elevational gradient; specifically, we use a species‐level approach to evaluate whether elevational range sizes are explained by the levels of thermal variability experienced by species. Location: Central Andes. Time Period: Present day. Taxon: Woody plants. Methods: Combining data from 479 forest plots, we determined the elevational distributions of nearly 2300 species along an elevational gradient (~209–3800 m). For each species, we calculated the maximum annual variation in temperature experienced across its elevational distribution. We used phylogenetic generalized least square models to evaluate the effect of thermal variability on range size. Our models included additional covariates that might affect range size: body size, local abundance, mean temperature and total precipitation. We also considered interactions between thermal variability and mean temperature or precipitation. To account for geometric constraints, we repeated our analyses with a standardized measure of range size, calculated by comparing observed range sizes with values obtained from a null model. Results: Our results supported the main prediction of the climate variability hypothesis. Thermal variability had a strong positive effect on the range size, with species exposed to higher thermal variability having broader elevational distributions. Body size and local abundance also had positive, yet weak effects, on elevational range size. Furthermore, there was a strong positive interaction between thermal variability and mean annual temperature. Main Conclusions: Thermal variability had an overriding importance in driving elevational range sizes of woody plants in the Central Andes. Moreover, the relationship between thermal variability and range size might be even stronger in warmer regions, underlining the potential vulnerability of tropical montane floras to the effects of global warming. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

10. Climate reverses directionality in the richness–abundance relationship across the World’s main forest biomes

Author

Madrigal-González, Jaime, Calatayud, Joaquín, Ballesteros-Cánovas, Juan A., Escudero, Adrián, Cayuela, Luis, Rueda, Marta, Ruiz-Benito, Paloma, Herrero, Asier, Aponte, Cristina, Sagardia, Rodrigo, Plumptre, Andrew J., Dupire, Sylvain, Espinosa, Carlos I., Tutubalina, Olga, Myint, Moe, Pataro, Luciano, López-Sáez, Jerome, Macía, Manuel J., Abegg, Meinrad, Zavala, Miguel A., Quesada-Román, Adolfo, Vega-Araya, Mauricio, Golubeva, Elena, Timokhina, Yuliya, and Stoffel, Markus

Published
2020
Full Text
View/download PDF

26. Insights on biodiversity drivers to predict species richness in tropical forests at the local scale

Author

García Mateo, Rubén, Arellano, Gabriel, Gómez Rubio, Virgilio, Tello, J. Sebastián, Fuentes, Alfredo F., Cayola, Leslie, Loza, M. Isabel, Cala Rivero, M. Victoria, Macía, Manuel J., UAM. Departamento de Biología, and UAM. Departamento de Geología y Geoquímica

Subjects
Ecological Modeling, Bayesian inference, Geología, Biodiversity patterns, Altitudinal gradient, Biología y Biomedicina / Biología, Plant species richness, Madidi region, Random forest
Abstract

Disentangling the relative importance of different biodiversity drivers (i.e., climate, edaphic, historical factors, or human impact) to predict plant species richness at the local scale is one of the most important challenges in ecology. Biodiversity modelling is a key tool for the integration of these drivers and the predictions generated are essential, for example, for climate change forecast and conservation planning. However, the reliability of biodiversity models at the local scale remains poorly understood, especially in tropical species-rich areas, where they are required. We inventoried all woody plants with stems ≥ 2.5 cm in 397 plots across the Andes-Amazon gradient. We generated and mapped 19 uncorrelated biodiversity drivers at 90 m resolution, grouped into four categories: microclimatic, microtopographic, anthropic, and edaphic. In order to evaluate the importance of the different categories, we grouped biodiversity drivers into four different clusters by categories. For each of the four clusters of biodiversity drivers, we modelled the observed species richness using two statistical techniques (random forest and Bayesian inference) and two modelling procedures (including or excluding a spatial component). All the biodiversity models produced were evaluated by cross-validation. Species richness was accurately predicted by random forest (Spearman correlation up to 0.85 and explained variance up to 67%). The results suggest that precipitation and temperature are important driving forces of species richness in the region. Nonetheless, a spatial component should be considered to properly predict biodiversity. This could reflect macroevolutionary underlying forces not considered here, such as colonization time, dispersal capacities, or speciation rates. However, the proposed biodiversity modelling approach can predict accurately species richness at the local scale and detailed resolution (90 m) in tropical areas, something that previous works had found extremely challenging. The innovative methodology presented here could be employed in other areas with conservation needs, We thank the Consejería de Educacion (Comunidad de Madrid, Spain), National Geographic Society (8047-06, 7754-04), National Science Foundation (DEB#0101775, DEB#0743457, DEB#1557094), Spanish Ministry of Economy and Competitiveness (CGL2016-75414-P), Centro de Estudios de América Latina (Universidad Autonoma de Madrid – Banco Santander), Consejería de Educacion, Cultura y Deportes (Junta de Comunidades de Castilla-La Mancha, SBPLY/21/180501/000241), Spanish Ministry of Economy and Competitiveness (PID2019-106341GB-I00) for funding our research. The full dataset can be requested from the Madidi Project (https://madidiproject.weebly.com/)

Published
2022

31. Floristic diversity, composition and dominance across Amazonian forest types respond differently to latitude.

Author

de Aledo, Julia G., Paneghel, Mara, Cayuela, Luis, Matas‐Granados, Laura, Saadi, Celina Ben, Salinas, Norma, La Torre‐Cuadros, María de los Ángeles, García‐Villacorta, Roosevelt, and Macía, Manuel J.

Subjects
FOREST biodiversity, FLOODPLAIN forests, HABITATS, MULTIVARIATE analysis, LATITUDE, PLANT diversity, TROPICAL forests, SPECIES diversity
Abstract

Copyright of Journal of Biogeography is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
Full Text
View/download PDF

42. Annual Rainfall and Seasonality Predict Pan-tropical Patterns of Liana Density and Basal Area

Author

DeWalt, Saara J., Schnitzer, Stefan A., Chave, Jérôme, Bongers, Frans, Burnham, Robyn J., Cai, Zhiquan, Chuyong, Georges, Clark, David B., Ewango, Corneille E. N., Gerwing, Jeffrey J., Gortaire, Esteban, Hart, Terese, Ibarra-Manríquez, Guillermo, Ickes, Kalan, Kenfack, David, Macía, Manuel J., Makana, Jean-Remy, Martínez-Ramos, Miguel, Mascaro, Joseph, Moses, Sainge, Muller-Landau, Helene C., Parren, Marc P. E., Parthasarathy, Narayanaswamy, Pérez-Salicrup, Diego R., Putz, Francis E., Romero-Saltos, Hugo, and Thomas, Duncan

Published
2010

47. Understanding the Influence of Socioeconomic Variables on Medicinal Plant Knowledge in the Peruvian Andes.

Author

Corroto, Fernando, Gamarra Torres, Oscar Andrés, and Macía, Manuel J.

Subjects
SOCIOECONOMIC factors, MEDICINAL plants, NATURE reserves, JOB qualifications, WATER chlorination, DOMESTIC animals
Abstract

In this study, we analyze the impact of 18 socioeconomic factors at individual, family, and locality levels to understand their influence on medicinal plant knowledge (MPK) in four provinces and 12 localities of the northern Andes of Peru. We interviewed 50 participants per locality (totaling 600 people) from lowlands and highlands ecoregions. The participants were balanced in terms of generations and gender. We performed multivariate statistical analyses—generalized linear mixed models (GLMMs) and nonmetric multidimensional scaling (NMDS) ordinations—that showed the influence of each socioeconomic variable on the medicinal plant knowledge of people in the different sites. At the individual level, we found that most participants with higher MPK were women, elders, people with lower levels of education and job qualifications, non-migrants, and participants who have lived for a long period in the same region. At the family level, we found that participants living in low economic conditions with few material goods, including their means of transport, tools possession, access to technology, farm size, number of farm animals, and house quality, had higher MPK. At the locality level, we found that people living in more isolated areas with scarce regional services, such as access to paved roads, hospitals, big markets, tourist development, and chlorination of drinking water, had higher MPK. In short, people with less access to modern services and with low economic resources are the main depositaries of MPK. Policy makers and decision makers should consider the significance of MPK in alleviating health problems and diseases in Andean regions, especially for people with rural livelihoods. This local botanical knowledge of medicinal plants should be preserved in the area as a great natural heritage for humanity. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

48. Latitudinal patterns and environmental drivers of taxonomic, functional, and phylogenetic diversity of woody plants in western Amazonian terra firme forests.

Author

Ben Saadi, Celina, Cayuela, Luis, Bañares de Dios, Guillermo, de Aledo, Julia G., Matas-Granados, Laura, Salinas, Norma, La Torre Cuadros, María de los Ángeles, and Macía, Manuel J.

Subjects
PLANT diversity, WOODY plants, FOREST biodiversity, SEASONAL temperature variations, TROPICAL climate, ENDANGERED species
Abstract

Elucidating how environmental factors drive plant species distributions and how they affect latitudinal diversity gradients, remain essential questions in ecology and biogeography. In this study we aimed: 1) to investigate the relationships between all three diversity attributes, i.e., taxonomic diversity (TD), functional diversity (FD), and phylogenetic diversity (PD); 2) to quantify the latitudinal variation in these diversity attributes in western Amazonian terra firme forests; and 3) to understand how climatic and edaphic drivers contribute to explaining diversity patterns. We inventoried ca. 15,000 individuals from ca. 1,250 species, and obtained functional trait records for ca. 5,000 woody plant individuals in 50 plots of 0.1 ha located in five terra firme forest sites spread over a latitudinal gradient of 1200 km covering ca. 10°C in latitude in western Amazonia. We calculated all three diversity attributes using Hill numbers: q = 0 (richness), q = 1 (richness weighted by relative abundance), and q = 2 (richness weighted by dominance). Generalized linear mixed models were constructed for each diversity attribute to test the effects of different uncorrelated environmental predictors comprising the temperature seasonality, annual precipitation, soil pH and soil bulk density, as well as accounting for the effect of spatial autocorrelation, i.e., plots aggregated within sites. We confirmed that TD (q = 0, q = 1, and q = 2), FD (q = 0, q = 1, and q = 2), and PD (q = 0) increased monotonically towards the Equator following the latitudinal diversity gradient. The importance of rare species could explain the lack of a pattern for PD (q = 1 and q = 2). Temperature seasonality, which was highly correlated with latitude, and annual precipitation were the main environmental drivers of variations in TD, FD, and PD. All three diversity attributes increased with lower temperature seasonality, higher annual precipitation, and lower soil pH. We confirmed the existence of latitudinal diversity gradients for TD, FD, and PD in hyperdiverse Amazonian terra firme forests. Our results agree well with the predictions of the environmental filtering principle and the favourability hypothesis, even acting in a 10°C latitudinal range within tropical climates. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results