The Lund-Potsdam-Jena Dynamic Global Vegetation Model (LPJ) combines process-based, large-scale representations of terrestrial vegetation dynamics and land-atmosphere carbon and water exchanges in a modular framework. Features include feedback through canopy conductance between photosynthesis and transpiration and interactive coupling between these 'fast' processes and other ecosystem processes including resource competition, tissue turnover, population dynamics, soil organic matter and litter dynamics and fire disturbance. Ten plants functional types (PFTs) are differentiated by physiological, morphological, phenological, bioclimatic and fire-response attributes. Resource competition and differential responses to fire between PFTs influence their relative fractional cover from year to year. Photosynthesis, evapotranspiration and soil water dynamics are modelled on a daily time step, while vegetation structure and PFT population densities are updated annually. Simulations have been made over the industrial period both for specific sites where field measurements were available for model evaluation, and globally on a 0.5degrees x 0.5degrees grid. Modelled vegetation patterns are consistent with observations, including remotely sensed vegetation structure and phenology. Seasonal cycles of net ecosystem exchange and soil moisture compare well with local measurements. Global carbon exchange fields used as input to an atmospheric tracer transport model (TM2) provided a good fit to observed seasonal cycles of CO2 concentration at all latitudes. Simulated inter-annual variability of the global terrestrial carbon balance is in phase with and comparable in amplitude to observed variability in the growth rate of atmospheric CO2 . Global terrestrial carbon and water cycle parameters (pool sizes and fluxes) lie within their accepted ranges. The model is being used to study past, present and future terrestrial ecosystem dynamics, biochemical and biophysical interactions between ecosystems and the atmosphere, and as a component of coupled Earth system models.

Evaluation of ecosystem dynamics, plant geography and terrestrial carbon cycling in the LPJ dynamic global vegetation model

This work presents a new dynamic global vegetation model designed as an extension of an existing surface-vegetation-atmosphere transfer scheme which is included in a coupled ocean-atmosphere general circulation model. The new dynamic global vegetation model simulates the principal processes of the continental biosphere influencing the global carbon cycle (photosynthesis, autotrophic and heterotrophic respiration of plants and in soils, fire, etc.) as well as latent, sensible, and kinetic energy exchanges at the surface of soils and plants. As a dynamic vegetation model, it explicitly represents competitive processes such as light competition, sapling establishment, etc. It can thus be used in simulations for the study of feedbacks between transient climate and vegetation cover changes, but it can also be used with a prescribed vegetation distribution. The whole seasonal phenological cycle is prognostically calculated without any prescribed dates or use of satellite data. The model is coupled to the IPSL-CM4 coupled atmosphere-ocean-vegetation model. Carbon and surface energy fluxes from the coupled hydrology-vegetation model compare well with observations at FluxNet sites. Simulated vegetation distribution and leaf density in a global simulation are evaluated against observations, and carbon stocks and fluxes are compared to available estimates, with satisfying results.

https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2003GB002199

A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system

one: Plant stand architecture.- 1.1 Role of Phytometric Investigations in The Studies of Plant Stand Architecture and Radiation Regime.- 1.2 Principal Phytometric Characteristics of Stands.- 1.2.1 Phytometric characteristics of leaf and other plant organs.- 1.2.2 Phytometric characteristics of an individual plant.- 1.2.3 Phytometric characteristics of a pure stand.- 1.2.4 Plant stand as a horizontal layer.- 1.3 Phytometrical Methods.- 1.3.1 Determination of leaf area.- 1.3.2 The measurement of leaf orientation.- 1.3.3 Inclined point quadrats method.- 1.3.4 Stratifying clip method.- 1.3.5 The methods of statistical measurements.- 1.3.6 Numerical methods for determination of foliage area vertical distribution.- 1.3.7 A rational method for determining phytometric characteristics of stand architecture and productivity.- 1.4 Statistical Characteristics of A Stand.- 1.4.1 Parameters of statistical characteristics.- 1.4.2 Correlation between statistical characteristics.- 1.5 Spatial Distribution of Phytoelements in Stands.- 1.5.1 General.- 1.5.2 Space-time variability of transition functions.- 1.5.3 Vertical distribution of phytomass and phytoarea.- 1.5.4 Horizontal distribution of phytomass and phytoarea.- 1.6 Foliage Area Orientation in Stands.- 1.6.1 General.- 1.6.2 Distribution functions of leaf inclination and azimuth orientation.- 1.6.3 G-function of leaf orientation.- 1.7 Plant Stand Architecture, Photosynthesis and Productivity.- two: Radiation regime in plant stand.- II.1 Radiation Field in a Plant Stand and The Problem of Its Mathematical Modelling.- II.1.1 General.- II. 1.2 Basic characteristics of the radiation field.- II. 1.3 Optical characteristics of phytoelements.- II. 1.4 Optical characteristics of plate medium.- II. 1.5 The radiation transfer equation for an optically anisotropic plate medium.- IL 1.6 Plant stand as a plate medium.- IL 1.7 The radiation transfer equation for a plant stand.- II. 1.8 Leaf and plant stand absorption functions.- II. 1.9 Statistical character of the radiation field in plant stands.- 11.2 Incident Radiation.- II.2.1 General.- IL2.2 Incoming direct solar radiation.- 11.2.3 Incoming diffuse sky radiation.- 11.2.4 Incoming total solar radiation.- 11.2.5 Incoming long-wave radiation of the atmosphere.- 11.2.6 Photosynthetically active radiation.- 11.3 Optical Properties of Phytoelements.- 11.3.1 General.- 11.3.2 Optical models of the leaf.- 11.3.3 Scattering phase function of the leaf.- 11.3.4 Spectral optical properties of phytoelements.- 11.3.5 Integral coefficients of leaf reflection, transmission and absorption for short-wave radiation and PAR.- 11.3.6 Optical properties of phytoelements in the long-wave spectral region.- 11.4 Penetration of Direct Solar Radiation into a Plant Stand.- 11.4.1 General.- 11.4.2 Statistical character of penetration of direct radiation in a plant stand. Penumbras.- 11.4.3 Theoretical expressions for direct solar radiation penetration.- 11.4.4 Penetration theory for direct solar radiation in horizontally inhomogeneous plant stands.- 11.4.5 Calculated penetration of direct solar radiation and its dependence on various factors.- 11.4.6 Methods of experimental investigation.- 11.4.7 Experimental data on penetration.- 11.5 Penetration of Diffuse Sky Radiation Into Plant Stand.- 11.5.1 General.- 11.5.2 Penetration formulae.- 11.5.3 Calculation of intensities and zonal radiation.- 11.5.4 Calculation of downward fluxes.- 11.5.5 Method of hemispherical photographs.- 11.5.6 Statistical character of the penetration of diffuse sky radiation.- 11.6 Scattering of Radiation Inside Plant Stands.- 11.6.1 General.- 11.6.2 Scattering and absorption coefficients for an elementary volume in a plant stand. Scattering phase function.- 11.6.3 Solution of radiation transfer equation for horizontal leaves.- 11.6.4 The Schwarzschild approximation for modified radiative transfer equation.- 11.6.5 Approximation for single scattering.- 11.6.6 Leaf scattering coefficient ?L and the complementary radiation field.- 11.6.7 Calculation of the complementary PAR field.- 11.6.8 Calculation of the complementary NIR field.- 11.7 Total Radiation Field in Plant Stands.- 11.7.1 General.- 11.7.2 Intensities of total radiation field.- 11.7.3 Total vertical fluxes.- 11.7.4 Angular distribution of total radiation flux.- 11.7.5 Leaf absorption in total radiation field.- 11.7.6 Radiation in a plant stand with horizontal leaves.- 11.7.7 Errors of the approximate methods of calculation.- 11.7.8 New theories.- 11.7.9 Monte Carlo simulation models.- 11.8 Semiempirical Formulae for Total Radiation Fluxes.- 11.8.1 General.- 11.8.2 Exponential and binomial semiempirical formulae.- 11.8.3 New semiempirical formulae.- 11.9 Albedo of Plant Stand.- 11.9.1 General.- 11.9.2 Formulae for the albedo and brightness coefficient.- 11.9.3 Albedo and its dependence on various factors.- 11.9.4 Comparison of calculated and experimental data.- 11.10 Calculation of Long-Wave Radiation in A Stand.- 11.11 Net Radtation in Plant Stands.- Conclusion.- Supplement. Description of Field Experiments.- References.- Author Index.

The radiation regime and architecture of plant stands

summary
In this paper, we have reviewed how the hydraulic design of trees influences the movement of water from roots to leaves. The hydraulic architecture of trees can limit their water relations, gas exchange throughout the crown of trees, the distribution of trees over different habitats and, perhaps, even the maximum height that a particular species can achieve. Parameters of particular importance include: (1) the vulnerability of stems to drought-induced cavitation events because cavitation reduces the hydraulic conductance of stems, (2) the leaf specific conductivity-of stems because it determines the pressure gradients and most negative water potentials needed to sustain evaporation from leaves, (3) the water storage capacity of tissues because this might determine the ability of trees to survive long drought periods. All of these parameters are determined by the structure and function of anatomical components of trees. Some of the ecological and physiological trade-offs of specific structures are discussed.

https://nph.onlinelibrary.wiley.com/doi/epdf/10.1111/j.1469-8137.1991.tb00035.x

The hydraulic architecture of trees and other woody plants

Vascular plants vary in size by about twelve orders of magnitude, and a single individual sequoia spans nearly this entire range as it grows from a seedling to a mature tree. Size influences nearly all of the structural, functional and ecological characteristics of organisms1,2. Here we present an integrated model for the hydrodynamics, biomechanics and branching geometry of plants, based on the application of a general theory of resource distribution through hierarchical branching networks3 to the case of vascular plants. The model successfully predicts a fractal-like architecture and many known scaling laws, both between and within individual plants, including allometric exponents which are simple multiples of 1/4. We show that conducting tubes must taper and, consequently, that the resistance and fluid flow per tube are independent of the total path length and plant size. This resolves the problem of resistance increasing with length, thereby allowing plants to evolve vertical architectures and explaining why the maximum height of trees is about 100 m. It also explains why the energy use of plants in ecosystems is size independent.

A general model for the structure and allometry of plant vascular systems

A quantitative analysis of plant form-the pipe model theory : i.basic analyses

A quantitative analysis of plant form-the pipe model theory : ii. further evidence of the theory and its application in forest ecology

/pdf/studies-on-the-frequency-distribution-of-the-weight-of-e65atpmbuk.pdf

Studies on the frequency distribution of the weight of individual trees in a forest stand : iii. a beta-type distribution

Estimation of the Rate of Total Photosynthesis in Forest Canopies

Loss of weight of leaf litter caught in litter trays during the period between successive collections : a proposed correction for litterfall data to account for the loss

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