21 research outputs found

    A Refined Methodology for Defining Plant Communities Using Postagricultural Data from the Neotropics

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    How best to define and quantify plant communities was investigated using long-term plot data sampled from a recovering pasture in Puerto Rico and abandoned sugarcane and banana plantations in Ecuador. Significant positive associations between pairs of old field species were first computed and then clustered together into larger and larger species groups. I found that (1) no pasture or plantation had more than 5% of the possible significant positive associations, (2) clustering metrics showed groups of species participating in similar clusters among the five pasture/plantations over a gradient of decreasing association strength, and (3) there was evidence for repeatable communities—especially after banana cultivation—suggesting that past crops not only persist after abandonment but also form significant associations with invading plants. I then showed how the clustering hierarchy could be used to decide if any two pasture/plantation plots were in the same community, that is, to define old field communities. Finally, I suggested a similar procedure could be used for any plant community where the mechanisms and tolerances of species form the “cohesion” that produces clustering, making plant communities different than random assemblages of species

    BOSQUES DE AGUA NEGRO (IGAPÓ) VS. BOSQUES DE AGUAS BLANCAS (VÁRZEA) EN LA AMAZONÍA: FLORÍSTICA Y ESTRUCTURA FÍSICA

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    Flooded forests occur across the landscape of the Amazon basin and, because they are important to our shared human density, need further investigation. Here I use replicated plots to examine the floristics and physical structure of the two most common kinds of flooded forest-types in the Amazon. I set up four 50 m x 50 m forest plots in black-water forest (igapĂł) in Peru and also in white-water forest (vĂĄrzea) in Ecuador. I then sampled all trees in all plots at least 10 cm dbh for species, and then generated a variety of floristic and physical parameters. There was species variation among the plots within both forest-types, but little variation in physical structure. The four igapĂł plots taken together (now 1 ha) had 16 families, 29 genera and 31 species with Fabaceae, the most common family of which also had the most genera and the most species. The four vĂĄrzea plots taken together (now 1 ha) had 42 families, 91 genera and 159 species, with Fabaceae again the most common family which also had the most genera and the most species. There were only four species in common. In general the vĂĄrzea plots had more stems, and more large stems (at least 40 cm dbh) than the igapĂł plots, but mean stem size was very similar. Structural comparison to terra firme 1 ha plots showed it had more stems, thicker stems and more above-ground biomass compared to either of these pooled 1 ha flooded plots. Finally all study plots conformed to the reverse J stem size distribution pattern for all stems.Los bosques inundados se producen a travĂ©s del paisaje de la cuenca del Amazonas y, debido a que son importantes para nuestra densidad humana compartida, necesitan una mayor investigaciĂłn. AquĂ­ utilizo parcelas replicadas para examinar los florĂ­stica y estructura fĂ­sica de los dos tipos mĂĄs comunes de los bosques de tipo inundado de la Amazonia. He definido de cuatro parcelas forestales de 50 mx 50 m en los bosques de agua negro (igapĂł) en PerĂș y tambiĂ©n en los bosques de aguas bravas (vĂĄrzea) en Ecuador. Entonces probĂ© todos los ĂĄrboles en todas las parcelas de al menos 10 cm dap para las especies, y luego genero una variedad de parĂĄmetros florĂ­sticos y fĂ­sicos. Estos fueron la variaciĂłn de especies entre las parcelas dentro de los dos tipos de bosque, pero poca variaciĂłn en la estructura fĂ­sica. Los cuatro parcelas de igapĂł en conjunto (ahora 1 ha) tenĂ­an 16 familias, 29 gĂ©neros y 31 especies con Fabaceae la familia mĂĄs comĂșn que tambiĂ©n tenĂ­a la mayor cantidad de gĂ©neros y la mayorĂ­a de las especies. Las cuatro parcelas de vĂĄrzea en su conjunto (ahora 1 ha) tenĂ­an 42 familias, 91 gĂ©neros y 159 especies de Fabaceae, de nuevo, la familia mĂĄs comĂșn que tambiĂ©n tenĂ­a la mayor cantidad de gĂ©neros y la mayorĂ­a de las especies. SĂłlo habĂ­a cuatro especies en comĂșn. En general las parcelas de vĂĄrzea tenĂ­an mĂĄs tallos y tallos mĂĄs grandes (al menos 40 cm dap) que las parcelas de igapĂł, pero el promedio del tallo tamaño fue muy similar. La comparaciĂłn estructural a tierra firme 1 ha parcelas mostrĂł que tenĂ­a mĂĄs tallos mĂĄs gruesos tallos y mĂĄs biomasa aĂ©rea en comparaciĂłn con cualquiera de estos combinados 1 ha de parcelas inundadas. Finalmente todas las parcelas de estudio se ajustaban al patrĂłn de distribuciĂłn del tamaño del tallo J inverso para todos los tallos

    Effects of Species, Water, and Nitrogen on Competition Among Three Prairie Grasses

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    We conducted an experiment to investigate effects of species, water (W), and nitrogen (N) on competition among little bluestem (Schizachyrium scoparium), sideoats grama (Bouteloua curtipendula), and indiangrass (Sorghastrum nutans). All biomass parameters and the root:shoot ratio of little bluestem were reduced by the presence off 1 of 2 other species, and its shoot biomass and total biomass were both increased by addition of N. Root and shoot biomass of sideoats grama were reduced by the presence of indiangrass and its total biomass was reduced by the presence of itself, whereas its shoot biomass was increased by addition of W at the highest level. Root biomass and total biomass of indiangrass were increased by N and that response pattern was preserved for root biomass but lost for total biomass when W was added. We conclude that grass seedlings were affected by species more than by levels of W and N, interspecific competition was more important than intraspecific competition, and both N and W effects occurred only in the highest levels of addition with some interaction

    TRY plant trait database – enhanced coverage and open access

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    Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

    The Contributions of Neotropical Tree Families to the Structure of Common Amazon Forest-Types

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    In order to investigate how familial biodiversity structures forests in the critically important Amazon, I combined past plot samplings to investigate the contributions of tree families in those samplings to the structure of common Amazon forest types. I found that the families Arecaceae, Fabaceae, Clusiaceae, and Malvaceae had the most stems; Staphyleaceae, Caricaceae, and Anacardiaceae had the largest stems; Arecaceae, Fabaceae, Lecythidaceae, and Malvaceae had the largest basal area; Fabaceae, Malvaceae, and Sapotaceae had the most genera; Annonaceae, Euphorbiaceae, Fabaceae, Lauraceae, Malvaceae, Moraceae, and Sapotaceae had the most species, and the maximum Fisher’s α diversity index was found for many families. Together, results suggest that Fabaceae and Malvaceae are the most important families structuring these forests, but also that Arecaceae and Sapotaceae may be important. Thus, conservationists and managers may help sustain structure in these forests by propagating and maintaining species in these families. Finally, correlations between total number of stems and basal area, and between total number of genera and total number of species, suggest a causal relationship between them as they structure these forests, but the lack of correlations with Fisher’s α suggest it has little structural utility for these forests

    Testing aggregation hypotheses among Neotropical trees and shrubs: results from a 50-ha plot over 20 years of sampling

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    Spatial patterns of tropical trees and shrubs are important to understanding their interaction and the resultant structure of tropical rainforests. To assess this issue, we took advantage of previously collected data, on Neotropical tree and shrub stem identified to species and mapped for spatial coordinates in a 50ha plot, with a frequency of every five years and over a 20 year period. These stems data were first placed into four groups, regardless of species, depending on their location in the vertical strata of the rainforest (shrubs, understory trees, mid-sized trees, tall trees) and then used to generate aggregation patterns for each sampling year. We found shrubs and understory trees clumped at small spatial scales of a few meters for several of the years sampled. Alternatively, mid-sized trees and tall trees did not clump, nor did they show uniform (regular) patterns, during any sampling period. In general (1) groups found higher in the canopy did not show aggregation on the ground and (2) the spatial patterns of all four groups showed similarity among different sampling years, thereby supporting a “shifting mosaic” view of plant communities over large areas. Spatial analysis, such as this one, are critical to understanding and predicting tree spaces, tree-tree replacements and the Neotropical forest patterns, such as biodiversity and those needed for sustainability efforts, they produce
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