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|The goal of this study was to predict the global distribution of plant rooting depths based on data about global aboveground vegetation structure and climate. This data set consists of three files, two in standard ESRI ArcGIS ArcInfo ASCII GRID format that contain data for mean 50% and 95% root depth, and one comma delimited text file that contains the grid cell location followed by the 50% and 95% ecosystem root depths removed due to differences with the ISLSCP II land/sea masking. Together these data can be used to calculate estimates for vertical root distributions, using a logistic equation provided in this documentation. These data represent mean ecosystem rooting depths for one degree by one degree grid cells.
Vertical root distributions influence the fluxes of water, carbon, and soil nutrients and the distribution and activities of soil fauna. Roots transport nutrients and water upwards, but they are also pathways for carbon and nutrient transport into deeper soil layers and for deep water infiltration. Roots also affect the weathering rates of soil minerals. For calculating such processes on a global scale, data on vertical root distributions are needed as inputs to global biogeochemistry and vegetation models. In the Project for Intercomparison of Land Surface Parameterization Schemes (PILPS), rooting depth and vertical soil characteristics were the most important factors explaining scatter for simulated transpiration among 14 land-surface models. Recently, the Terrestrial Observation Panel for Climate of the Global Climate Observation System (GCOS) identified the 95% rooting depth as a key variable needed to quantify the interactions between the climate, soil, and plants, stating that the main challenge was to find the correlation between rooting depth and soil and climate features (GCOS/GTOS Terrestrial Observation Panel for Climate 1997). In response to this challenge, a data set of vertical rooting depths was collected from the literature in order to construct maps of global ecosystem rooting depths.
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|This data set contains 2 data granules|
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