Diversidad y estructura genética de cuatro especies arbóreas clave del Bosque Seco Tropical en Colombia

El Bosque Seco Tropical (bs-T) es uno de los ecosistemas más degradados de Colombia requiriendo acciones urgentes para la conservación de sus relictos remanentes y la restauración de áreas degradadas. La diversidad genética es una herramienta fundamental para identificar áreas prioritarias de conservación in situ, y evaluar la calidad de las poblaciones como fuentes de semilla para su uso en la restauración. Aquí se presentan los resultados de una caracterización genética realizada con marcadores moleculares ISSRs (Inter Simple Sequence Repeats) en 251 individuos de cuatro especies clave del bs-T Colombiano: Bursera simaruba, Platymiscium pinnatum, Hura crepitans y Caesalpinia ebano. Las poblaciones más diversas para las cuatro especies se encontraron en la región del Caribe y en el enclave del Cañón del Chicamocha. Platymiscium pinnatum y B. simaruba también mostraron valores altos de diversidad en el valle del río Cauca y el desierto de La Tatacoa, respectivamente. Además, se evidenció estructura genética en las cuatro especies que podría estar asociada a las transformaciones históricas del bs-T en los periodos geológicos del Pleistoceno y el Holoceno. Finalmente, se identificaron fuentes de semilla en cada región para cada especie y entre ellos se destacan el norte Caribe y el área del enclave del Cañón del Chicamocha, por su riqueza y particularidad genética

TRY plant trait database – enhanced coverage and open access

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

Material suplementario Artículo 71327. Diversidad y estructura genética de cuatro especies arbóreas claves del Bosque Seco Tropical en Colombia

Anexo 1. Marcadores ISSR usados para los análisis en cada una de las cuatro especies estudiadas y número de bandas por locus.Anexo 2. Asignación Bayesiana de individuos en grupos genéticos ΔK usando el programa STRUCTURE v2.3.4.Anexo 3. Localidades muestreadas por especie, grupos genéticos y promedio de afiliación de las poblaciones a cada grupo

TRY plant trait database - enhanced coverage and open access.

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

TRY plant trait database – enhanced coverage and open access

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. © 2019 The Authors. Global Change Biology published by John Wiley and Sons Lt