Global Model Estimates of Potential Nitrogen Fluxes and Storage in Soil
Binle Lin, Ryosuke Shibasaki , Akiyoshi Sakoda , and Motoyuki Suzuki
Research Associate, Institute of Industrial Science
University of Tokyo
7-22-1 Roppongi Minato-ku, Tokyo 106-8558, JAPAN
TEL: +81(3)3402-6231 ext. 2413 FAX: +81(3)3408-0593
E-mail: binlelin@cc.iis.u-tokyo.ac.jp
Keywords: Global biogeochemical nitrogen cycle, Ecosystem model, Soil Nitrogen, Storage, Fluxes,
Geographical information system
Abstract
To quantitatively evaluate the cause-and-effect relationships of human land-use changes to
terrestrial ecosystems requires preliminary analyses of potential nitrogen (N) fluxes and its storage in
natural soil. This paper uses a mechanistically based ecosystem simulation model of global N cycle highly
integrated with carbon (C) to aim at satisfying the demand. This model treats the global environment in a
total of 60156 grid cells with 0.5° in its latitude and longitude, and uses information on soils, vegetation,
and climate variables such as temperature, precipitation, and solar radiation as independent driving forces
to run the model. Our model-based estimate of potential N storage in global natural soil is 350Pg, which
shows good agreement with that of extant reported as ranging from 70Pg to 820Pg, with a few
intermediate estimates of 170Pg, 760Pg, 175Pg, and 300Pg. Of which 350Pg in soil, 24Pg is in inorganic
forms as ammonium and nitrate and 326Pg in organic forms as detritus and humus. More than 90% of the
soil N represents as in organic forms, which agrees very well on various field researches. Estimates of
mean N storage in each type of ecosystem range from 50-860g/m
2 in inorganic forms and 1480-7550g/m
2
in organic forms, in which the tropical forest soil shows the least storage due to its higher decomposition
rates. Its global distribution based on model’s estimates is very similar to that made by Wlilfred (1985).
Nevertheless additional work on model validations are still needed, this model has provided us a better
view of the global N storage.
Introduction
Nitrogen (N) is both an essential nutrient and a major pollutant in the terrestrial ecosystems.
Human land-use changes such as fertilization, cultivation, and deforestation have significantly disturbed the
N balance in natural ecosystem, that result in various environmental problems at regional to global scale
(Daniel, 1992, Nyle, 1998). Ecosystem models that can integrate the information derived from site-specific
researches or empirical studies or remote-sensing imagery, and extrapolate this information to other locations
and through time, have been widely recognized as useful research tool for evaluating the cause-and-effect
relationships of human land-use changes to terrestrial ecosystems. Many attempts toward this end have been
seen in recent decades. However, most of them are from the standpoint of carbon (C) cycle model, and still
very few from the standpoint of nitrogen (N) cycle are found (Christopher et al., 1993, 1997; Robert et al.,
1994). Terrestrial Ecosystem Model developed by Melillo J.M. group (McGuire et al., 1992; Melillo et al.,
1993; Raich et al., 1991) is the most valuable to be mentioned among several other N cycles (Michel et al.,
1997; Rastetter et al., 1991). But this model mainly focused on C cycles and simplified the input and output
fluxes of N by incorporating them into the model as constants. In our previous paper (Binle et al., 1999), we
have fully described a global biogeochemical N cycle model, which has been developed as a highly
aggregated, process-based simulation model that includes almost all of the important processes governing N
cycles in natural ecosystem. In this paper the model has been used as a research tool to get insight the
potential N fluxes and storage in natural soil, which is very necessary for the attempt of quantitatively
evaluatingthe potential impacts of land-use and climate changes.
Methods and Data
The Model
The amount of N stored in soil is related to climate through biotic process associated with
productivityof vegetation and decomposition of organic matter. Other factors, particularlyrain-fall input, dry
deposition input, nitrogen fixation and losses of inorganic nitrogen due to leaching contribute to the
variability of N storage. The model used here incorporated all of the remarked factors, its model structure is
depicted in Fig. 1, while the components and processes involved in each compartment are summarized in
Table 1. The model treats the global atmosphere as a one-well-mixed reservoir, while treats the terrestrial
biosphere reservoir in a total of 60156 grid cells with a spatial resolution of 0.5° in its latitude and longitude.
Each grid cell is fixed to be one of the five types of ecosystems based on the model output of our previous
global C model study (Motoyuki et al., 1993; Naohiro et al., 1994). Model validations and sensitivity
analyses carried in our previous paper (Binle et al., 1999) confirm that our mechanistically process-based
model can simulate verywell the N cycles in natural ecosystems.
Fig. 1 Model structure of global biogeochemical nitrogen cycle coupled with carbon cycles.
Table 1 Definitions of reservoirs, compartments, components, and processes involved in model.
|
| Reservoirs | Compartments | Components | Processes |
|
| Atmosphere | One-well mixed pool | Nitrous oxide | Biomass burning
Lightning |
|
| Terrestrial | 0.5 ° grid-based | Eight state variables: | Thirteen fluxes: |
| biosphere | Three compartments in vertical | Nitrogen in vegetation | Photosynthesis |
| Vegetation: Leaf, Trunk and Root | Carbon in vegetation | Plant respiration |
| Soil organic: Detritus and Humus | Nitrogen in detritus | Litter-fall |
| Soil inorganic: Ammonium and Nitrate | Carbon in detritus | Nitrogen fixation |
| Five ecosystems in horizontal | Nitrogen in humus | Detritus decomposition |
| Tropical forest | Carbon in humus | Huminification |
| Temperate forest | Ammonium in soil | Humus carbonization |
| Boreal forest | Nitrate in soil | Plant uptake |
| Grass/Agricultural | | Nitrification |
| No vegetation (desert and ice) | | Humus decomposition |
| | | Ammonia volatilization |
| | | Denitrification |
| | | Nitrate leaching |
|