Global biogeochemical models have improved dramatically in the last decade in their representation of the biosphere. Although leaf area data are an important input to such models and are readily available globally, global root distributions for modeling water and nutrient uptake and carbon cycling have not been available. This analysis provides global distributions for fine root biomass, length, and surface area with depth in the soil, and global estimates of nutrient pools in fine roots. Calculated root surface area is almost always greater than leaf area, more than an order of magnitude so in grasslands. The average C:N:P ratio in living fine roots is 450:11:1, and global fine root carbon is more than 5% of all carbon contained in the atmosphere. Assuming conservatively that fine roots turn over once per year, they represent 33% of global annual net primary productivity.Fine roots (Յ2 mm in diameter) are the primary pathway for water and nutrient uptake by plants, the same role that leaves play for carbon and energy uptake. Fine roots are also a prominent, possibly the prominent, sink for carbon acquired in terrestrial net primary productivity (1-4). Primary production allocated below ground is often greater than that allocated above ground, and annual carbon and nutrient inputs to the soil from fine roots frequently equal or exceed those from leaves (1-5). Despite their importance for nutrient cycling, resource capture, and global biogeochemistry, fine roots are poorly represented in global models. The lack of representation is in sharp contrast to the prevalence of canopy leaf area data as an important input (6-10). The input of leaf area, which can be estimated regionally by remote sensing (11), allows carbon and energy gain to be simulated biochemically in terrestrial models (12). Part of the cause for the discrepancy in representing roots and shoots is the difficulty in estimating root distributions (2,13,14). This analysis provides the first global fine root database for improving global models and estimates of carbon cycling. These data should enhance hydrological models [where fine roots control water absorption by plants and affect groundwater and atmospheric fluxes (15, 16)], improve estimates of nitrogen cycling and the consequences of nitrogen loading (17), and allow the biochemical modeling of nutrient uptake globally (18,19).
METHODSThis research differs from a previous analysis (20) by calculating fine rather than total root distributions (those roots active in water and nutrient uptake), by estimating root biomass, length, surface area, and nutrient contents, by taking into account the proportion of live root biomass in each biome, and by calculating a global budget for each parameter. To estimate fine root distributions by depth, a database of 253 field studies was analyzed (20). A study was included if fine roots were measured in three or more increments to at least 1-m soil depth (minimum depth for tundra was the level of permafrost). More than 40 references met these criteria and ma...