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2021年数模美赛A题一等奖(M奖)论文.pdf

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Problem Chosen 2021 Team Control Number A MCM/ICM Summary Sheet 2113656 Fungus: Who Moved My Woody Fibers Summary The carbon cycle includes the decomposition of plant material and woody fibers. In nature, fungi are the main decomposers. The decomposition rate of fungi is determined by two traits: the growth rate of the fungus and their tolerance to moisture. In this paper, our goal is to model the decomposition of woody fibers and analyze the interactions between different species. In view of a single type of fungus living in America, firstly, we use the exponential decay model to describe the decomposition process. Then we fit the experimental data related to growth rate and moisture resistance to obtain the function between the decomposition rate and these two traits. Finally, we establish the decomposition model of a single species of fungus. Taking five types of fungi as examples, we get their decomposition processes respectively shown in Figure 6. In view of various types of fungi living in America, we analyzed the short-term and long-term trends respectively. In a short period of time, various species grow independently. The total average decomposition rate is the sum of each. Then we establish the decomposition model of various species in short-term. The simulated decomposition process is shown in Figure 7. In a long period of time, the species will influence on each other. We improved the Logistics differential equation model and established a competition model of various species. After using the Runge-Kutta method, we get their succession and decomposition process with interactions shown in Figures 8 and 9. Based on the above two models, we consider the impact of global warming and climate conditions changes on the model. First, according to the time series ARIMA (0,1,1), we predict the future annual average temperature in America. Compared with 2020, temperature conditions in 2060 will cause the extinction of three species (Figure 13). Next, we bring the environmental conditions of five representative climates into the competition model. Results show different climates lead to different endings of competition (Figure 15). Using the above two models, we find that as the number of fungal species increases, the overall decomposition efficiency of ground litter continues to increase. And we analyze that biodiversity plays a huge role in maintaining system stability. Keywords: Fungus The carbon cycle Biodiversity of fungi The decomposition model The Competition model of various species Differential equation
Team#2113656 Page 2 of 25 Contents 1 Introduction ............................................................................................................................... 3 1.1 Background ..................................................................................................................... 3 1.2 Restatement of the Problem ............................................................................................ 3 2 Analysis of the Problem ............................................................................................................ 4 3 Assumptions .............................................................................................................................. 5 4 Symbols..................................................................................................................................... 6 5 The Decomposition Process of Fungi ....................................................................................... 6 5.1 The Decomposition Model of Single Species ................................................................. 7 5.2 The Decomposition Model of Various Species ............................................................... 9 5.3 Simulations Based on The Decomposition Model ........................................................ 10 6 The Interactions Between the Various Species of Fungi..........................................................11 6.1 The Competition Model of Various Species ..................................................................11 6.2 Solutions of The Competition Model ........................................................................... 13 6.3 Sensitivity to Environmental Fluctuations .................................................................... 15 7 The Impact of Biodiversity ..................................................................................................... 18 7.1 The Impact on Decomposition Efficiency .................................................................... 18 7.2 The Importance and Role of Biodiversity ................................................................... 19 8 Model Test............................................................................................................................... 20 8.1 Analysis of Sensitivity .................................................................................................. 20 8.2 Analysis of Robustness ............................................................................................... 20 9 Strengths and Weaknesses ...................................................................................................... 21 9.1 Strengths ....................................................................................................................... 21 9.2 Weaknesses ................................................................................................................... 22 10 An Article for Fungi .............................................................................................................. 23 11 References ............................................................................................................................. 25
Team#2113656 Page 3 of 25 1 Introduction 1.1 Background The carbon cycle is an important part of life on earth. It describes the process of the exchange of carbon throughout the geochemical cycle of the earth and it maintains the balance of carbon dioxide in the atmosphere. Part of the carbon cycle includes the decomposition of compounds, and the key components of this part are the decomposition of plant materials and woody fibers. In nature, the key component in decomposing woody fibers are fungi. We know that the decomposition rate of woody fibers is determined by various traits of fungi through the background of the research. In this problem, we would focus on just two traits of the fugus: the growth rate and its tolerance to moisture. Figure 1: The process of carbon cycle 1.2 Restatement of the Problem Our main goals are to study the effect of the growth rate of the fungus and the fungus’ tolerance to moisture on decomposition rate, and to build a model about the decomposition of woody fibers on a given land. For this, we need to solve the following problems: ⚫ Build a mathematical model to describe the specific decomposition process of litter and wood fiber through fungal activity. ⚫ In the above model, when there are many different species of fungi, which have different growth rates and different moisture resistance, we need to incorporate the interactions between different species of fungi. ⚫ On the basis of the above, we need to build the model which describes the interaction
Team#2113656 Page 4 of 25 between different types of fungi, and the different performance of the dynamic characteristics of the interaction in short-term and long-term trends should be characterized and described. When the environment fluctuates rapidly, we need to test the sensitivity of the model and determine the overall impact of changing atmospheric trends, so as to assess the impact of local weather changes on the model. ⚫ We need to predict the relative advantages and disadvantages for each species and combinations of species that may last for a period of time, and do so for the different environments of arid, semi-arid, temperate, arbor, and tropical rainforest. ⚫ Analyze how the diversity of fungal communities of a system affects the overall efficiency of ground waste decomposition. When there are varying degrees of changes in the local environment, predict the importance and role of biodiversity. ⚫ By establishing and solving above models, we need to write a two-page article to discuss the latest progress in our understanding of the role of fungi play in ecosystems. 2 Analysis of the Problem ⚫ Based on the Mitscherlich equation, we build a litter attenuation model conforming to the negative exponential form. From the figures of the paper, we believe that the average decomposition rate of the plant material and woody fibers is affected by the growth rate and moisture resistance of the fungus (fungi). We fit this set of experimental data with a power function and an exponential function, and found the equivalence relation between the growth rate, the moisture resistance and average decomposition rate. Based on this, we show the change of remaining proportion over time (single species) (Figure 6). ⚫ When a variety of fungi gather together, there is interactions between them, which is mainly competition. We divide the decomposition process of various species into short-term and long-term. In a short period of time, we believe that each fungus decomposes litter independently, when the decomposition of litter by multiple groups can be considered as the sum of individual’s. Taking five groups as an example, we show the change of remaining proportion (various species, short-term trends) (Figure 7). ⚫ Over a long period of time, the result of fungal competition can be measured by the steady state of the extension length of the hyphae. Based on the Logistics model and the Lotka-Volterr model, we establish a competition model of various species, and measure the contribution of different fungi in decomposition with the steady-state dominant species-inferior species (Figure 8), and show the above five the change of remaining proportion with competitions (various species, long-term trends) (Figure 9).
Team#2113656 Page 5 of 25 ⚫ Since the external environment will determine the succession of the community, we separately consider the impact of global warming and climate change on the model. According to the time series ARIMA(0,1,1), we predict the annual average temperature of North America in 2060 (Figure 12), which is 1.2℃ higher than 2020. We find that such a small temperature change will cause three of the five species perish (Figure 13). Under the different environments including arid, semi-arid, temperate, arboreal, and tropical rain forests, the competition results of populations vary (Figure 15). ⚫ Considering the fungus and different combinations of fungi, we find that when the extension length increases, the overall efficiency of ground garbage decomposition continues to increase (Table 4). As for single fungus, environment change may cause the growth rate greatly reduced, which hinder decomposition. But as for multiple groups, even if environment change result in different results in the steady state of competition, the decomposition rate is impacted little. Figure 2: Problem solving ideas 3 Assumptions ⚫ In a short period of time, there is no interaction between different species of fungi living in the same environment. In the early stages of growth, for all kinds of species, resources such as nutrients, space, and dissolved oxygen are sufficient. Therefore, in the short term, the adverse effects from other species on the growth of fungi can be ignored. ⚫ The interaction between different species of fungi is only equal to the competitive relationship. When different types of fungi live in the same environment, there are complex interrelationships between them, such as competition, cooperation, symbiosis and so on, but competition is the most important and common relationship, so we can ignore other types of
Team#2113656 Page 6 of 25 interrelationships [1]. ⚫ The data used in this article are true and credible. In order to apply and solve the mathematical model which have been established, we collected the relevant data of 34 kinds of fungi[2]. To ensure the objectivity and accuracy of the results, we make this assumption. 4 Symbols Descriptions Definitions Mass of the material at time Hyphal extension rate Moisture resistance Temperature Humidity Average decomposition rate 5 The Decomposition Process of Fungi According to the relevant research, it is known that certain traits of fungi determine the decomposition rate of plant materials and woody fibers. Figure 3: The decomposition process of fungi ttmvwTSk
Team#2113656 Page 7 of 25 In this problem, we only need to focus on two traits of fungi: fungal growth rate (Hyphal Extension Rate) and moisture resistance (the difference between a fungus’ competitive ranking and its moisture niche width), and we assume these two traits are independent of each other. In view of the existence of a single type of fungus or multiple types of fungi on a given land, we have established a short-term decomposition model of fungus as follows: 5.1 The Decomposition Model of Single Species According to the information in the title, when the ambient temperature is 22℃, the relationship between mycelial extension rate and decomposition rate is shown in Figure 1, and the relationship between moisture resistance and decomposition rate is shown in Figure 2: Figure 4: The relationship between the hyphal Figure 5: The relationship between the moisture extension rate (mm/day) of various fungi and (both scaled to [0,1]) of various fungi and the the decomposition rate (% mass loss over 122 wood decomposition rate (% mass loss over 122 days at 22℃) days at 22℃, log transformed) Since Figure 2 is the test result under the optimal external conditions, it is assumed that the temperature condition of Figure 2 is 22°C. That is to say, the above two figures reflect the relationship between the decomposition rate and the hyphal extension rate (fungus growth rate) and moisture resistance when the temperature is 22°C. We think is the reduced mass of the plant material and woody fiber in a period of time, is the mass of the initial plant material and wood fiber, is the mass of the initial plant material and wood fiber after a period of decomposition. Then the ordinate of Figure 1 and Figure 2 is the resulting decomposition rate: m0mtm
Team#2113656 Page 8 of 25 (1) Now using the principle of least squares method, combined with the prompt of the title, it is essential to fit the data in Figure 1. Then we get that when the temperature is 22℃, the relationship between the resulting decomposition rate and the hyphal extension rate is in the form of a power function, and the relationship and its core function is shown as follows: (2) Next, we process the data in Figure 2. Firstly, we take the logarithm of the decomposition rate, and then fit the processed data to obtain the relationship between the decomposition rate and moisture resistance. The result and the kernel function at 22°C are shown as follows: (3) Since the decomposition rate is only directly related to the fungal growth rate (hyphae elongation rate) and moisture resistance , the decomposition rate is a linear function of the product of the two kernel functions. From Figure 1, we know that , . Then we get: (4) Now we take any decomposition rate from the two figures, and bring the corresponding fungal growth rate and moisture resistance into the formula (4). Through calculation, we get the coefficient as: (5) According to the existing literature[3], we know that the decomposition process of the plant material and woody fibers and other litters mentioned in this article follows the Mitscherlich equation[4][5], that is, as time goes by, the litters are gradually decomposed. The decomposition tends to be slow, and the final decomposition rate becomes a constant value. Therefore, the exponential decay model[5] is the best model to describe the decomposition process of plant material and woody fibers. The model is: 00001ttmmmmmmm−==−0.3538014.5bbmavvvm==01.00041.88780ln1.00041.8878kwtwkwmkwtkmmeeeeem=+=+==0/mmvw0v=0/0mm=0kwbmpevm=12.1785p=
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