Rodolfo Vasquez | Jardin Botanico de Missouri - Perú, Herbario Selva Central Oxapampa (HOXA) (original) (raw)
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Papers by Rodolfo Vasquez
Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scatt... more Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scattered inventory record. Here we present the first comprehensive spatial model of tree ? -diversity and -density in Amazonian rainforests, based on the largest-yet compilation of forest inventories and bolstered by a spatial interpolation technique that allows us to estimate diversity and density in areas that have never been inventoried. These data were then compared to continent-wide patterns of rainfall seasonality. We find that dry season length, while only weakly correlated with average tree ? -diversity, is a strong predictor of tree density and of maximum tree ?diversity. The most diverse forests in any given dry season length are concentrated in a narrow latitudinal band just south of the equator, while the least diverse forests in any given dry season length are found in the Guayana Shield and Amazonian Bolivia. Denser forests are more diverse than sparser forests, even when we used a measure of diversity that corrects for sample size. We propose that rainfall seasonality regulates tree ? -diversity and -density by affecting shade tolerance and subsequently the number of different functional types of trees that can persist in an area.
…, 2000
R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian ra... more R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian rainforest. -Ecography 23: 349 -359.
Ecography, 2000
R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian ra... more R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian rainforest. -Ecography 23: 349 -359.
Conservation Biology, 1989
Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scatt... more Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scattered inventory record. Here we present the first comprehensive spatial model of tree α-diversity anddensity in Amazonian rainforests, based on the largest-yet compilation of forest inventories and bolstered by a spatial interpolation technique that allows us to estimate diversity and density in areas that have never been inventoried. These data were then compared to continent-wide patterns of rainfall seasonality. We find that dry season length, while only weakly correlated with average tree α-diversity, is a strong predictor of tree density and of maximum tree α-diversity. The most diverse forests for any given dry season length are concentrated in a narrow latitudinal band just south of the equator, while the least diverse forests for any given dry season length are found in the Guayana Shield and Amazonian Bolivia. Denser forests are more diverse than sparser forests, even when we used a measure of diversity that corrects for sample size. We propose that rainfall seasonality regulates tree α-diversity and -density by affecting shade tolerance and subsequently the number of different functional types of trees that can persist in an area.
Journal of Biogeography, 2011
Amazonia contains the largest remaining tracts of undisturbed tropical forest on earth, and is th... more Amazonia contains the largest remaining tracts of undisturbed tropical forest on earth, and is thus critical to international nature conservation and carbon sequestration efforts. Amazonian forests are notoriously difficult to study, however, due to their species richness and inaccessibility. This has limited efforts to produce the accurate, high-resolution biodiversity maps needed for conservation and development. The aims of the research described here were to identify efficient solutions to the problems of tropical forest inventory; to use these methods to identify floristic patterns and their causes in western Amazonia; and propose new means to map floristic patterns in these forests.
by Claudia Baider, Edward Jimmy Alarcon Mozombite, Alexandre A de Oliveira, Milton Tirado, Cid Ferreira, Doug Daly, Italo Mesones, Roderick Zagt, Ademir Roberto Ruschel, Francisco Dallmeier, David A Neill, Tinde van Andel, Hernan Castellanos, Rodolfo Vasquez, César I A Vela, Flávia Costa, susan laurance, Uneg Hernandez, Stanford & Eglee Zent, Hirma Ramírez, Ligia Urrego, Jean-François Molino, Maria Mora, Marcos Ríos, and Lionel Hernandez
Science, 2013
Journal of Ecology, 2014
1. Tropical forest above-ground wood production (AGWP) varies substantially along environmental g... more 1. Tropical forest above-ground wood production (AGWP) varies substantially along environmental gradients. Some evidence suggests that AGWP may vary between regions and specifically that Asian forests have particularly high AGWP. However, comparisons across biogeographic regions using standardized methods are lacking, limiting our assessment of pan-tropical variation in AGWP and potential causes. 2. We sampled AGWP in NW Amazon (17 long-term forest plots) and N Borneo (11 plots), both with abundant year-round precipitation. Within each region, forests growing on a broad range of edaphic conditions were sampled using standardized soil and forest measurement techniques. 3. Plot-level AGWP was 49% greater in Borneo than in Amazonia (9.73 AE 0.56 vs. 6.53 AE 0.34 Mg dry mass ha À1 a À1 , respectively; regional mean AE 1 SE). AGWP was positively associated with soil fertility (PCA axes, sum of bases and total P). After controlling for the edaphic environment, AGWP remained significantly higher in Bornean plots. Differences in AGWP were largely attributable to differing height-diameter allometry in the two regions and the abundance of large trees in Borneo. This may be explained, in part, by the greater solar radiation in Borneo compared with NW Amazonia. 4. Trees belonging to the dominant SE Asian family, Dipterocarpaceae, gained woody biomass faster than otherwise equivalent, neighbouring non-dipterocarps, implying that the exceptional production of Bornean forests may be driven by floristic elements. This dominant SE Asian family may partition biomass differently or be more efficient at harvesting resources and in converting them to woody biomass. 5. Synthesis. N Bornean forests have much greater AGWP rates than those in NW Amazon when soil conditions and rainfall are controlled for. Greater resource availability and the highly productive dipterocarps may, in combination, explain why Asian forests produce wood half as fast again as comparable forests in the Amazon. Our results also suggest that taxonomic groups differ in their fundamental ability to capture carbon and that different tropical regions may therefore have different carbon uptake capacities due to biogeographic history.
Oikos, 1997
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, a... more JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.
Biodiversity and Conservation, 2003
Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scatt... more Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scattered inventory record. Here we present the first comprehensive spatial model of tree α-diversity and tree density in Amazonian rainforests, based on the largest-yet compilation of forest inventories and bolstered by a spatial interpolation technique that allows us to estimate diversity and density in areas that have never been inventoried. These data were then compared to continent-wide patterns of rainfall seasonality. We find that dry season length, while only weakly correlated with average tree α-diversity, is a strong predictor of tree density and of maximum tree α-diversity. The most diverse forests for any given DSL are concentrated in a narrow latitudinal band just south of the equator, while the least diverse forests for any given DSL are found in the Guayana Shield and Amazonian Bolivia. Denser forests are more diverse than sparser forests, even when we used a measure of diversity that corrects for sample size. We propose that rainfall seasonality regulates tree α-diversity and tree density by affecting shade tolerance and subsequently the number of different functional types of trees that can persist in an area.
Revista Peruana de Biología, 2014
Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scatt... more Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scattered inventory record. Here we present the first comprehensive spatial model of tree ? -diversity and -density in Amazonian rainforests, based on the largest-yet compilation of forest inventories and bolstered by a spatial interpolation technique that allows us to estimate diversity and density in areas that have never been inventoried. These data were then compared to continent-wide patterns of rainfall seasonality. We find that dry season length, while only weakly correlated with average tree ? -diversity, is a strong predictor of tree density and of maximum tree ?diversity. The most diverse forests in any given dry season length are concentrated in a narrow latitudinal band just south of the equator, while the least diverse forests in any given dry season length are found in the Guayana Shield and Amazonian Bolivia. Denser forests are more diverse than sparser forests, even when we used a measure of diversity that corrects for sample size. We propose that rainfall seasonality regulates tree ? -diversity and -density by affecting shade tolerance and subsequently the number of different functional types of trees that can persist in an area.
…, 2000
R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian ra... more R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian rainforest. -Ecography 23: 349 -359.
Ecography, 2000
R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian ra... more R. 2000. A comparison of fine-scale distribution patterns of four plant groups in an Amazonian rainforest. -Ecography 23: 349 -359.
Conservation Biology, 1989
Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scatt... more Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scattered inventory record. Here we present the first comprehensive spatial model of tree α-diversity anddensity in Amazonian rainforests, based on the largest-yet compilation of forest inventories and bolstered by a spatial interpolation technique that allows us to estimate diversity and density in areas that have never been inventoried. These data were then compared to continent-wide patterns of rainfall seasonality. We find that dry season length, while only weakly correlated with average tree α-diversity, is a strong predictor of tree density and of maximum tree α-diversity. The most diverse forests for any given dry season length are concentrated in a narrow latitudinal band just south of the equator, while the least diverse forests for any given dry season length are found in the Guayana Shield and Amazonian Bolivia. Denser forests are more diverse than sparser forests, even when we used a measure of diversity that corrects for sample size. We propose that rainfall seasonality regulates tree α-diversity and -density by affecting shade tolerance and subsequently the number of different functional types of trees that can persist in an area.
Journal of Biogeography, 2011
Amazonia contains the largest remaining tracts of undisturbed tropical forest on earth, and is th... more Amazonia contains the largest remaining tracts of undisturbed tropical forest on earth, and is thus critical to international nature conservation and carbon sequestration efforts. Amazonian forests are notoriously difficult to study, however, due to their species richness and inaccessibility. This has limited efforts to produce the accurate, high-resolution biodiversity maps needed for conservation and development. The aims of the research described here were to identify efficient solutions to the problems of tropical forest inventory; to use these methods to identify floristic patterns and their causes in western Amazonia; and propose new means to map floristic patterns in these forests.
by Claudia Baider, Edward Jimmy Alarcon Mozombite, Alexandre A de Oliveira, Milton Tirado, Cid Ferreira, Doug Daly, Italo Mesones, Roderick Zagt, Ademir Roberto Ruschel, Francisco Dallmeier, David A Neill, Tinde van Andel, Hernan Castellanos, Rodolfo Vasquez, César I A Vela, Flávia Costa, susan laurance, Uneg Hernandez, Stanford & Eglee Zent, Hirma Ramírez, Ligia Urrego, Jean-François Molino, Maria Mora, Marcos Ríos, and Lionel Hernandez
Science, 2013
Journal of Ecology, 2014
1. Tropical forest above-ground wood production (AGWP) varies substantially along environmental g... more 1. Tropical forest above-ground wood production (AGWP) varies substantially along environmental gradients. Some evidence suggests that AGWP may vary between regions and specifically that Asian forests have particularly high AGWP. However, comparisons across biogeographic regions using standardized methods are lacking, limiting our assessment of pan-tropical variation in AGWP and potential causes. 2. We sampled AGWP in NW Amazon (17 long-term forest plots) and N Borneo (11 plots), both with abundant year-round precipitation. Within each region, forests growing on a broad range of edaphic conditions were sampled using standardized soil and forest measurement techniques. 3. Plot-level AGWP was 49% greater in Borneo than in Amazonia (9.73 AE 0.56 vs. 6.53 AE 0.34 Mg dry mass ha À1 a À1 , respectively; regional mean AE 1 SE). AGWP was positively associated with soil fertility (PCA axes, sum of bases and total P). After controlling for the edaphic environment, AGWP remained significantly higher in Bornean plots. Differences in AGWP were largely attributable to differing height-diameter allometry in the two regions and the abundance of large trees in Borneo. This may be explained, in part, by the greater solar radiation in Borneo compared with NW Amazonia. 4. Trees belonging to the dominant SE Asian family, Dipterocarpaceae, gained woody biomass faster than otherwise equivalent, neighbouring non-dipterocarps, implying that the exceptional production of Bornean forests may be driven by floristic elements. This dominant SE Asian family may partition biomass differently or be more efficient at harvesting resources and in converting them to woody biomass. 5. Synthesis. N Bornean forests have much greater AGWP rates than those in NW Amazon when soil conditions and rainfall are controlled for. Greater resource availability and the highly productive dipterocarps may, in combination, explain why Asian forests produce wood half as fast again as comparable forests in the Amazon. Our results also suggest that taxonomic groups differ in their fundamental ability to capture carbon and that different tropical regions may therefore have different carbon uptake capacities due to biogeographic history.
Oikos, 1997
JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, a... more JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.
Biodiversity and Conservation, 2003
Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scatt... more Large-scale patterns of Amazonian biodiversity have until now been obscured by a sparse and scattered inventory record. Here we present the first comprehensive spatial model of tree α-diversity and tree density in Amazonian rainforests, based on the largest-yet compilation of forest inventories and bolstered by a spatial interpolation technique that allows us to estimate diversity and density in areas that have never been inventoried. These data were then compared to continent-wide patterns of rainfall seasonality. We find that dry season length, while only weakly correlated with average tree α-diversity, is a strong predictor of tree density and of maximum tree α-diversity. The most diverse forests for any given DSL are concentrated in a narrow latitudinal band just south of the equator, while the least diverse forests for any given DSL are found in the Guayana Shield and Amazonian Bolivia. Denser forests are more diverse than sparser forests, even when we used a measure of diversity that corrects for sample size. We propose that rainfall seasonality regulates tree α-diversity and tree density by affecting shade tolerance and subsequently the number of different functional types of trees that can persist in an area.
Revista Peruana de Biología, 2014