A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes

Running, Steven W.; Coughlan, Joseph C.

doi:10.1016/0304-3800(88)90112-3

Cited by 1,347 publications

(686 citation statements)

References 27 publications

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“…Many current process-based models, such as FOEST-BGC (Running and Coughlan, 1988), TEM (Melillo et al, 1993), CENTURY (Parton et al, 1987(Parton et al, , 1993, PnET (Aber and Federer, 1992), TREGROW (Weinstein et al, 1991), and Hybrid v3.0 (Friend et al, 1997), are not appropriate for management applications because they are not designed to predict stand characteristic such as basal area, mean tree diameter, height, and annual mortality, and thus the outputs are not directly useful in management planning (Landsberg and Waring, 1997); Most process-based models are too complex and require a large amount of information (the number of parameter and input variables) beyond what is readily available to forest managers, making them of minimal interest to practicing foresters and forest managers (Sands, 1988;Landsberg and Coops, 1999); Most models lack a user-friendly modeling interface and their documentation is insufficient, making them difficult for forest managers to use (Peng, 2000b). Forest managers are increasingly interested in using C balance process-based approaches for assessing the sustainability of forest ecosystem productivity under short-rotation forestry and the potential effects of projected global warming and increasing atmospheric CO 2 concentration.…”

Section: Problems Of Applying Process-based Models In Forest Managementmentioning

confidence: 99%

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics

Peng

Liu

Dang

et al. 2002

Ecological Modelling

191

120

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Section: Problems Of Applying Process-based Models In Forest Managementmentioning

confidence: 99%

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics

Peng

Liu

Dang

et al. 2002

Ecological Modelling

191

120

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“…Modeling of the post-induction increase in isoprene emission might be best accomplished through exploitation of the correlation between isoprene emission rate and photosynthesis rate. Several ecosystem-level models currently include algorithms to estimate seasonal dynamics in photosynthesis rate (e.g., FOREST-BGC, Running and Coughlan 1988;Running and Gower 1991).…”

mentioning

confidence: 99%

Environmental and developmental controls over the seasonal pattern of isoprene emission from aspen leaves

et al. 1994

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emergence. Leaves that emerged in July and developed in hot, midsummer temperatures emitted isoprene within 6 days. Leaves that had emerged during the cool spring, and had grown for several weeks without emitting isoprene, could be induced to emit isoprene within 2 h of exposure to 32°C. Continued exposure to warm temperatures resulted in a progressive increase in the isoprene emission rate. Thus, temperature appears to be an important determinant of the early season induction of isoprene emission. The seasonal pattern of isoprene emission was examined in trees growing along an elevational gradient in the Colorado Front Range (1829-2896 m). Trees at different elevations exhibited staggered patterns of bud-break and initiation of photosynthesis and isoprene emission in concert with the staggered onset of warm, springtime temperatures. The springtime induction of isoprene emission could be predicted at each of the three sites as the time after bud break required for cumulative temperatures above 0°C to reach approximately 400 degree days. Seasonal temperature acclimation of isoprene emission rate and photosynthesis rate was not observed. The temperature dependence of isoprene emission rate between 20 and 35°C could be accurately predicted during spring and summer using a single algorithm that describes the Arrhenius relationship of enzyme activity. From these results, it is concluded that the early season pattern of isoprene emission is controlled by prevailing temperature and its interaction with developmental processes. The late-season pattern is determined by controls over leaf nitrogen concentration, especially the depletion of leaf nitrogen during senescence. Following early-season induction, isoprene emission rates correlate with photosynthesis rates. During the season there is little acclimation to temperature, so that seasonal modeling simplifies to a single temperature-response algorithm.

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“…In both of these cases, the models created with SIGMA have replicated results previously published in the scientific literature (Lindal, et al, 1983;Running & Coughlan, 1988). To give a feeling for the size of these models, the ecosystem model consists of about 50 transforms that calculate or use over 60 different quantities, while the Titan atmospheric model consists of about 25 transforms using or calculating 45 quantities.…”

Section: Status and Future Workmentioning

confidence: 69%

“…In particular, we have used SIGMA to develop large portions of a forest ecosystem model that tracks the carbon, water, and nitrogen cycles in a forest ecosystem (Running & Coughlan, 1988).…”

Section: Titan Atmospheric Modelingmentioning

confidence: 99%

A knowledge-based prototyping environment for construction of scientific modeling software

1994

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Over the past 30 years, scientific software models have played an increasingly prominent role in the conduct of science. Unfortunately, scientific models can be difficult and time-consuming to implement, and there is little software engineering support specifically available for constructing scientific models. Because these models are not easily specified to scientifically-naive programmers, and because the scientist requires intimate knowledge of the code to conduct experiments, many scientists implement their own models. This coding activity takes valuable time away from their primary scientific mission.We have developed a knowledge-based software development tool that assists scientists in prototyping scientific models. With a specialized graphical user interface, the scientist constructs a high-level visual specification that captures the essential computational dependencies in the desired model. The system uses its scientific domain knowledge to ensure that the model being built is consistent and coherent. The final product is an executable prototype of a scientific model. Our tool accelerates the model-building process and eliminates the scientist's need to program in a formal language. Furthermore, the models developed with this tool are easier to understand and reuse than typical low-level scientific modeling code. At present, models developed with our system are restricted to those involving non-coupled algebraic and first order ordinary differential equations. Research is ongoing to lessen this restriction and support models with simultaneous equations.

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A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes

Cited by 1,347 publications

References 27 publications

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics

Environmental and developmental controls over the seasonal pattern of isoprene emission from aspen leaves

A knowledge-based prototyping environment for construction of scientific modeling software

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