Ecological model of extinctions

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第九章 病因及其发现和推断-研究生

第九章 病因及其发现和推断-研究生
(2)把病因指向人体以外的环境和宏观因素。 (3)其实践意义集中体现在卫生的概念里。
2. 微生物说
(1)19世纪中叶意大利人阿戈斯蒂诺-巴斯(Agostino Bassi)针对传染性疾病 的病因提出了微生物说的概念。
(2)科赫对细菌和疾病关系的研究使微生物说成为传染病起源的主导学说。 (3)为人类向人体内部和微观世界寻找病因指示了方向。
(六)病因网络
2. 对疾病预防的启示 (1)去除一条病因链中的任何一个因素就可以完全切断整个病因链, 从而预防疾病通过此病因链发生; (2)不同的病因链对疾病发生的作用的大小可能不同,有效的预防 应切断主要的病因链,即效应大的病因链; (3)不同的病因链可能独立地影响疾病的发生,同时切断多个病因 链必然可以预防更多的病例。
第二节 病因学说与病因模型
病因的轮状模型
(三)病因的轮状模型
3. 优点
(1)揭示了直接病因和间接病因的存在,以及远端病 因和近端病因的区别。
(2)也扩大了环境的概念,提示更多的环境因素可以 致病,更接近于病因之间以及病因与疾病的实际关系。
4. 缺点
对慢性非传染性疾病,它们揭示的病因的范围存在很 大的局限性。
第二节 病因学说与病因模型
(七)病因模型的比较
传染病的病因
瘴气说 [宏观单病因论]
微生物说 [微观单病因论]
慢性非传染性疾病以及传染病广泛存在“无 因”而发病和“有因”而无病的现象
现代多病因论 充分-组分 病因链及 轮状模型及 病因模型 病因网络 生态模型
病因学说和病因模型的演变
第三节 充分病因-组分病因模型
第二节 病因学说与病因模型
(四)健康决定因素的生态模型
1. 1991年Dahlgren和Whitehead从社会的角度,提出了健康决定因素的生 态模型,是轮状模型的进一步发展,也被称为生态病因模型 (ecological model of causation)。

Ecosystem model

Ecosystem model

Ecology system modelIn traditional ecology system modeling, initially, people describe the population of certain species increasing with Malthus equation which is based on abundant resource that is unable to be used up. Population in Malthus equation can growing exponentially depending on the population at the moment without any constraint. The differential equation is shown as below:where N is the amount of the population, r is the innate increase rate, and t is the time. However, obviously, the real world nothing will growing as this model as the resource is limited and individuals will compete with one another. Considering these restriction, a more logical model has been raised named Logistic equation which is listed as below:Where is the maximum number of the species the certain environment can accept. Once increasing to , the population would no more rise and stay stable at . The curve of growth of this Logistic equation is like a ‘S’ style.When we considering a more complex ecosystem with many species that form various relationships, such as predator-prey relationship and competitive relationship, we may feel confused about how to describe the interaction between them. For instance, on steppe, grass feed sheep, meanwhile, cows eat grass as well. The former one is a typical predator-prey relationship while the relationship between cow and sheep is a competitive relationship for they both serve grass.Aiming at this problem, most well-known, ecological models is the predator-prey model of Alfred J. Lotka (1925) and Vito Volterra (1926). Our work is based on this famous and fundamental equation.1. The Lotka–Volterra equationsThis model takes the form of a pair of ordinary differential equations, one representing a prey species, the other its predator.where, is the number/concentration of the prey species;is the number/concentration of the predator species;is the prey species' growth rate;is the predation rate of upon ;is the assimilation efficiency of ;is the mortality rate of the predator species.Inspired from the equation above, we recognized that the parameters are describing the factors influencing the population in the relation between predator and prey.The number of predators will restrict the growth of prey in a degree of with describing the degree in which prey feeds predator.To expand from this, we can build the model of competitive relationship along this line of thought.Before doing the modelling, we may well make some assumptions for simplification.2. AssumptionsThe whole typical ecosystem is closed, they are different in some parameter but basically same in food chain structure. Except for dragon, ignoring the migration of other animals in this area as well as immigration from regions outside.Ignoring changes in system due to season, we only consider balanced ecosystem with typical condition of the specific environment.Ignoring the decomposer, we use Logistic model to describe the renew of producer.Each kind of creature in the ecosystem is in even distribution.Regarding herbivore, death rate is linear to time, only influenced by the number of its predators.About carnivore, as they may be internecine, their number will be restricted by themselves. So will the omnivore. But a omnivore is always in danger of being hunted by a carnivore.3. Structure of ecosystemOn basis of the assumption above, we conclude the whole system and set four parts as different roles in the system: carnivore, omnivore, herbivore and plant. Here the structure of ecosystem is.As the picture depicts, plants provide food to both omnivore and herbivore. At the same time, carnivore feeds on both omnivore and herbivore. Besides, herbivore is also a choice of omnivore.Whatever the environment is, desert, steppe or ice field, however much the kind of species is, the energy flow can be conclude ultimately as the structure as above.Then, we will focus on the mathematical modelling according to this.4. ModellingAs we know just now, if two species is in feeding and being feed relationship, then, a parameter representing the degree of feeding and being feed should multiply the number of the other side. Feeding will help boost the rise of population of predator. Being feed will set a negative effect on the population on prey.How about two of these are in competition? Evidently, they may well fight for food with each other in a degree which can be represented by a new parameter. The existence of one blocks a further development of the other. Thus, this should be in the similar restriction form as a predator does.As regard to the system operating on the plant in charge of the all energy resource, upon food chain connecting to plant breaking, the number of animal must drop rapidly. So animal population would not rise by themselves, their reproduction entirely relies on the number of plant. This will be a important factor on animal population increase part. Finally, given we have a task to introduce a dragon to the environment, and do some calculation to the area that can raise a dragon up and something more, we will substitute the number of each role in ecosystem with the density of that. Furthermore, needing tojoin the dragon growth model, we should calculate the energy density, the only thing we need to do is multiply the average energy of each kind role.Let’s put these principles into practice to improve the Lotka–Volterra equations. We got four equation in total as below:where,are parameters describing corresponding degree of feeding. are energy density of corresponding role in the closed ecosystem. are innate rate of increase defined in Logistic equation.A set of initial value for density with suitable parameter values makes the system balance eventually just like a process occurs in real world.5. Simulation of modelWe used Stella to do the simulation work of model. Firstly, the following is the system structure we built in Stella according to the model above.Through changing the value of the parameters in the model as well as initial value of fourroles, we can simulate different kinds of natural environment.There are some results of simulation reflecting various evolution patterns. Following two pictures depict that two kinds of ecosystem stay relatively stable with herbivore extincting.extincting,like picture. These three results above altogether also vividly show a fact that relation between omnivore and herbivore does involve a sort of competition, in which one increasing brings decrease in the other.The model also can simulate one that collapses eventually as shown below.In all stories of five, we can find the peaks of these four role appear in different time. Delays always occur in order. First one must be plant, then herbivore, next is omnivore. Carnivore lags for the end. This phenomenon can be explained as different level the four are in in food chain. That makes sense obviously.Finally, we need to choose a relatively stable system with all four key roles exist. Picture is it.We wanted to know about properties of this model targeting at verifying the prediction about the influence brought by dragons.(1)Parameter sensitivity analysisTo begin with, we did a sensitivity analysis on parameter from 0.5 to 1.5 with gap of0.25, which is a factor of product of carnivore and omnivore density. The result suggests that bigger the value is, which means more energy is acquire from omnivorous animals by carnivore, the less density of omnivore will be. Similarly, make same impact. The other parameters in model do logical impacts on the density of corresponding species.can locate the origin of changes caused by dragon and take pertinent actions to fix the problems on the environment.(2)Initial value sensitivity analysisAfterwards, we do the same work on initial density value of four roles. We just picked plant density as an example to show the conclusion.In the graph, we recognized that whatever the initial value is, the value in ultimate condition is constant. Once non-zero initial values have been set, the performance of this system is determined only by the parameters mentioned just now.(3)Innate rate of increase sensitivity analysisLast one kind of factors in model is innate rate of increase. We do the analysis in the same way. The following shows the outcome. Like the conclusion of initial number, innate rate has nothing to do with the final value of numbers of density. Besides, we also discovered that faster the innate rate is, more fierce the vibration could be in the early time before being stable.With these deeper understanding of the ecosystem model we built, we may introduce the dragon to this to explore what will happen.Volterra, Vito (1926). "Fluctuations in the Abundance of a Species considered Mathematically". Nature. 118 (2972): 558–560.。

保护环境可持续发展英语作文

保护环境可持续发展英语作文

保护环境可持续发展英语作文英文回答:Protecting the environment for sustainable development is an urgent and multifaceted global challenge. To address this challenge, systematic and collaborative actions are required at all levels, from individuals to international organizations. Conserving biodiversity, reducing carbon emissions, and promoting renewable energy sources are the key components of protecting the environment.Firstly, preserving biodiversity is essential for sustainable development. Ecosystems provide vital services, such as clean air and water supply, crop pollination, and habitat for various species. Deforestation, pollution, and climate change threaten biodiversity, negatively impacting ecosystems and human well-being. Implementing conservation measures, protecting endangered species, and establishing nature reserves are crucial to safeguard the planet's ecological balance.Secondly, reducing carbon emissions is paramount to mitigating climate change. Greenhouse gases, primarily resulting from the burning of fossil fuels, accumulate in the atmosphere, causing global temperatures to rise. The consequences of climate change are multifaceted, including extreme weather events, sea level rise, and species extinctions. Transitioning to renewable energy sources, implementing energy efficiency measures, and promoting sustainable transportation practices are essential to combat carbon emissions.Thirdly, the promotion of renewable energy sources is vital for sustainable development. Fossil fuels, the primary source of energy worldwide, are finite and contribute significantly to environmental degradation. Renewable energy sources, such as solar, wind, and hydropower, offer sustainable alternatives with minimal environmental impact. Investing in renewable energy research and development, implementing supportive policies, and promoting the integration of renewable energy into energy systems are essential to transition towards acleaner energy future.By incorporating these key strategies into national agendas and international agreements, we can collectively contribute to environmental protection and sustainable development. Valuing the importance of conservation, embracing sustainable practices, and fosteringcollaboration will pave the path towards a more sustainable and prosperous future for both present and future generations.中文回答:保护环境促进可持续发展。

生物膜数学模型研究进展

生物膜数学模型研究进展

生物膜数学模型研究进展蔡庆【摘要】介绍了目前常见的几种生物膜数学模型。

一维连续生物膜模型重点关注生物膜稳态生长动力学,扩展的混合种群生物膜模型可用于预测生物膜反应器中基质的去除,生物膜厚度、生物膜和液相中基质浓度以及微生物种群随时间的变化,个体种群模型适合探讨微生物生态学和演化问题,但在模拟生物膜反应器性能方面存在缺陷。

%Some kinds of biofilm mathematical model were introduced.One-dimensional continuum model focused on the steady growth kinetics of the biofilm.The extensional multi-population biofilm model was used to calculate the substrate removal of reactor, variation of the thickness and the substrate concentration with time.Individual based modeling of the microbial population was fit for the microbial ecology and evolution, while it could not be use to investigate the performance of the reactor.【期刊名称】《广州化工》【年(卷),期】2015(000)006【总页数】3页(P4-6)【关键词】生物膜;数学模型;个体种群模型【作者】蔡庆【作者单位】重庆工程职业技术学院,重庆 402260【正文语种】中文【中图分类】X703生物膜由多种细菌构成,同时也包含真菌、藻类、酵母菌、原生动物等微生物、侵蚀产物和水,所有组分通过胞外聚合物(EPS)固定在一起,形成一个复杂的动态变化的有机体。

生态的重要性英语作文

生态的重要性英语作文

生态的重要性英语作文Title: The Indispensable Significance of Ecology: Nurturing Our Planet's Life-Sustaining BalanceIn the grand tapestry of existence, ecology plays an indispensable role, serving as the intricate web that sustains life on Earth. It encompasses the dynamic interactions between living organisms, their physical environment, and the complex processes that govern the flow of energy and nutrients within ecosystems. Recognizing the profound importance of ecology is crucial, as it underpins the stability, resilience, and biodiversity of our planet, and ultimately determines the viability of human societies and the future of life itself.Life's Harmonious Symphony: Ecosystem ServicesEcology provides a multitude of essential services that support and maintain life on Earth. These ecosystem services include:1.Biodiversity Maintenance: The rich tapestry of species within ecosystems contributes to genetic diversity, ensuring the adaptability and resilience of life in the face of changing environmental conditions. Each species plays a unique role inmaintaining ecosystem balance, from pollinators facilitating plant reproduction to decomposers breaking down organic matter and recycling nutrients.2.Climate Regulation: Ecosystems, especially forests and oceans, serve as massive carbon sinks, absorbing and storing atmospheric carbon dioxide, a potent greenhouse gas. They also regulate local and regional climates through processes like transpiration, evaporation, and the release of latent heat.3.Water Cycle and Quality: Vegetation and soil act as natural filters, purifying water as it percolates through the ground and replenishes aquifers. Wetlands and riparian zones protect water sources from pollution and erosion, ensuring the availability of clean water for human consumption and other vital uses.4.Food Production and Security: Healthy ecosystems support agriculture and fisheries, providing fertile soils, pollination services, and a stable base for aquatic and terrestrial food chains. They also help mitigate the risks of pests, diseases, and extreme weather events that threaten food production.The Fragility of Ecological BalanceDespite its fundamental importance, the delicate balance of ecology is increasingly threatened by human activities. Habitat destruction, pollution, climate change, and the introduction of invasive species disrupt ecosystems, leading to biodiversity loss, altered nutrient cycles, and the disruption of vital services. The consequences of such disruptions can be severe, including:1.Extinctions and Loss of Biodiversity: The rapid decline of species, particularly keystone species that play critical roles in ecosystems, can trigger cascading effects, destabilizing entire ecosystems and reducing their capacity to provide essential services.2.Ecosystem Collapse and Degradation: When ecological tipping points are reached, ecosystems can shift into alternative, less biodiverse and less productive states, with dire consequences for human societies and the environment. Examples include desertification, coral reef bleaching, and the transformation of forests into degraded scrubland.3.Threats to Human Well-being: The degradation of ecological systems directly impacts human health, food security, and access to clean water. It exacerbates the effects of climatechange, increases the risk of pandemics, and undermines the social, economic, and cultural foundations of many communities.Preserving and Restoring Ecology: A Collective ResponsibilityAcknowledging the paramount importance of ecology necessitates urgent and concerted global efforts to preserve and restore ecosystems. Key strategies include:1.Conservation and Restoration Efforts: Protecting intact ecosystems, establishing wildlife corridors, and restoring degraded habitats are essential for preserving biodiversity and maintaining ecosystem functions. This involves strengthening protected area networks, implementing sustainable land-use practices, and investing in large-scale restoration projects.2.Sustainable Resource Management: Adopting environmentally friendly practices in agriculture, forestry, fishing, and mining can reduce the pressure on ecosystems and minimize habitat destruction. This includes promoting agroforestry, organic farming, responsible fishing practices, and circular economy principles.3.Mitigating Climate Change: Rapidly transitioning to alow-carbon economy, investing in renewable energy, and implementing effective carbon pricing mechanisms can help stabilize the global climate, protecting ecosystems from further stress.cation and Awareness-Raising: Empowering individuals and communities with knowledge about ecology and its importance is crucial for fostering a sense of stewardship and inspiring actions that protect and restore ecosystems.In conclusion, the importance of ecology cannot be overstated. It forms the very foundation of life on Earth, providing a myriad of essential services that support the stability, resilience, and biodiversity of our planet. Recognizing this significance compels us to urgently address the threats facing our ecosystems and to collectively strive for a future where ecological balance is preserved and restored, ensuring the continued prosperity of life on our precious blue planet.。

生态足迹的概念及计算模型

生态足迹的概念及计算模型

生态足迹的概念及计算模型张志强徐中民程国栋(中国科学院寒区旱区环境与工程研究所冻工程国家重点实验室兰州730000)摘要生态足迹是一种定量测量人类对自然利用程度的新方法。

通过跟踪区域的能源和资源消费,将它们转化为提供这种物质流所必须的各种生物生产土地类型的面积,并同区域能提供的生物生产土地面积进行比较,能定量判断一个区域的发展是否处于生态承载力的范围内。

介绍了生态足迹的概念及其计算模型,分析总结了模型的优缺点。

关键词生态足迹生物生产土地面积计标模型定量测量The Concept of Ecological.Footprints.and Computer ModelsZhang Zhiqiang Xu Zhongmin Cheng Guodong (Frozen Earth Key State Engineering Laboratory Frigid and Arid Zone Environment and Project Research Institute China Academy of Sciences Lanzhou730000)Abstr act Ecological-Footprints.are a kind of new method of quantifiably measuring the extent of hu2 manity.s use of nature.Through following the tracks of consumption of energy and natural resources of a region,these consumption patterns provide information of areas,showing each type of land necessary for providing these material resources.Through comparison of these different areas providing natural re2 sources,we can quantifiable judge the scope within which that area.s capacity to provide can be developed. Here we give an introduction to the concept of ecological-footprints.and computer modeling,as well as analyzing and summarizing the strong and weak points of such a model.Key Words nd Areas Providing Natural Resourecs Computer Modeling Quantifiable Measurement自然生态系统是人类赖以生存和发展的物质基础,人类要实现可持续发展,人类社会就必须生存于生态系统的承载力范围内。

much of ecological theory consists of models gre

much of ecological theory consists of models gre

Much of Ecological Theory Consists of Models正文Ecological theory plays a crucial role in understanding the complex relationships between organisms and their environment. It provides a framework for studying and predicting how ecosystems function and respond to environmental changes. However, much of ecological theory consists of models, which are simplified representations of the real world. In this article, we will explore the importance and limitations of ecological models and their contribution to our understanding of the natural world.Ecological models are mathematical or conceptual tools that capture the essential elements of a system and its interactions. These models are based on empirical data and observations, allowing ecologists to make predictions and test hypotheses about ecological processes. They can range from simple equations to complex computer simulations, depending on the specific research questions and objectives.One of the key advantages of ecological models is their ability to simplify complex systems. Ecologists can isolate and manipulate specific variables within the model, allowing themto study the individual effects of different factors on ecosystem dynamics. For example, by altering the parameters of a predator-prey model, researchers can explore how changes in predation rates or prey abundance affect population dynamics. Furthermore, ecological models facilitate the integration of different ecological disciplines. They provide a common language and framework for researchers from various fields, such as population ecology, community ecology, and ecosystem ecology, to collaborate and exchange ideas. This interdisciplinary approach is crucial for addressing complex ecological problems, such as understanding the impacts of climate change on biodiversity.However, it is important to acknowledge the limitations of ecological models. Models are simplifications of reality and are inherently imperfect representations of complex ecosystems. Ecologists must be cautious when interpreting model results and recognize that real-world systems often exhibit more variability and uncertainty than can be captured in a model. Additionally, ecological models rely on accurate and comprehensive data for calibration and validation. The accuracy of model predictions depends on the quality and availability of data used to develop and test the models. Insome cases, data limitations may restrict the applicability of models, particularly for rare or understudied species or ecosystems.In conclusion, much of ecological theory consists of models, which are valuable tools for understanding and predicting ecological processes. These models allow researchers to explore complex systems, integrate different ecological disciplines, and make informed decisions about ecosystem management. However, it is essential to recognize the limitations of models and the need for careful interpretation and validation with real-world data. By combining the strengths of ecological models with empirical observations, we can continue to improve our understanding of the natural world and contribute to more effective conservation and management strategies.【文档完】。

新世纪大学英语综合教程4unit1课文逐段翻译

新世纪大学英语综合教程4unit1课文逐段翻译

新世纪大学英语综合教程4u n i t1课文逐段翻译-CAL-FENGHAI.-(YICAI)-Company One1Unit 1Text A人在自然界|亚历山大·斯伯金Nature nurtures mankind unselfishly with its rich resources. Yet, man is so carried away in his transformation of nature that he is unaware that it also has limitations and needs constant care. Now worn by the excessive demands of mankind, nature is unable to maintain the ecological balance needed. Humanity is faced with the problem of how to stop, or at least to moderate, the destruction of Mother Nature.人类生活在大自然的王国里。

他们时刻被大自然所包围并与之相互影响。

人类呼吸的空气、喝下的水和摄入的食物,无一不令人类时刻感知到大自然的影响。

我们与大自然血肉相连,离开大自然,我们将无法生存。

Human beings live in the realm of nature. They are constantly surrounded by it and interact with it. Man is constantly aware of the influence of nature in the form of the air he breathes, the water he drinks, and the food he eats. We are connected with nature by "blood" ties and we cannot live outside nature.人类不仅生活在大自然之中,同时也在改变着大自然。

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II. THE MODEL
Our model ecosystem consists of a number of species that interact and evolve in time. In the course of its time evolution the populations grow and shrink following a set of equations. Eventually, some of the species become extinct as a result of their interaction with the others. Every now and then we change one of the phenotypic features of one of the species, mimicking a random mutation of its genome. This modification produces a perturbation in the dynamics of the ecosystem, and eventually leads to the extinctions. To be more precise, let’s consider a simple example of a food web, namely a onedimensional food chain. N species interact in such a way that the species i feeds on the species i − 1, and is eaten by the species i + 1. The species 1 is an autotroph: it feeds at a constant rate on an “environment”. The species N , the top of the chain, is not eaten by any species, but dies giving its mass to the environment. Each species has a population that evolves in time and interacts with its neighbors in the chain. Furthermore, we consider this evolution in discrete time, which is often more realistic than a continuous one [5] and simpler to simulate in a computer. As has been said above, each species acts as a predator with respect to the one preceding it in the chain, and as a prey with respect to the one following it. As a further simplification, 3
(February 5, 2008)
ห้องสมุดไป่ตู้Abstract
We present numerical results based on a simplified ecological system in evolution, showing features of extinction similar to that claimed for the biosystem on Earth. In the model each species consists of a population in interaction with the others, that reproduces and evolves in time. Each species is simultaneously a predator and a prey in a food chain. Mutations that change the interactions are supposed to occur randomly at a low rate. Extinctions of populations result naturally from the predator-prey dynamics. The model is not pinned in a fitness variable, and natural selection arises from the dynamics. 87.10.+e, 05.40.+j, 05.45.+b
We show in this contribution a simple model of a large ecological system in evolution. This produces features of extinction similar to those claimed for the biosystem on Earth. We have chosen to study an ecological model in which each species consists of a population interacting with the others, that reproduces and evolves in time. The system is supposed to be a food chain, and the interactions to be predator-prey. Mutations that change the interactions are supposed to occur randomly at a low rate. Extinctions of populations result from the predator-prey dynamics. This approach can be thought as middle way between the microscopic simulation of “artificial life” by Ray and others [7], and the coarse-grain description of models like BS’s.
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∗ E-mail:
abramson@ictp.trieste.it
1
I. INTRODUCTION
The evolution of living organisms is a fascinating phenomenon that has intrigued the imagination of the scientific and non-scientific community. However, the formulation of mathematical models falls necessarily to drastic simplifications. For example, evolution has often been considered as a “walk” in a rugged landscape. Following this line, Bak and Sneppen (BS) have proposed a model of biological evolution [1] that has become quite interesting to the physics community due to its simplicity and the new insight it provides to the problem. It has been shown that this model evolves to a self-organized critical state (SOC), and is kept there by the means of avalanches of evolutionary activity. This is appealing for a model of biological evolution, since it has been observed that life on Earth could be in a SOC state [2,3]. Nevertheless, models based in fitness landscapes, or in a concept of fitness different from the biological one, have been criticized from a biological point of view [3,4]. Since one of the characterizing aspects of life, and perhaps the most fundamental one, is that of self-replication, it is our belief that more realistic models should involve a dynamic population for each species. The starting point of combining population dynamics with evolution is the association of the rates of birth and death and the carrying capacity with phenotypes (observable features that arise from the genotype and are, then, subject to mutation) [5]. The fitness, namely the expected number of offsprings produced by an individual, arise from them. In this way, the process of natural selection is directed by the ecological interactions instead of by a non-biological notion of relative fitness. Extinction is an essential component of evolution. The great majority of species that have ever lived on Earth are now extinct [6]. There exist competing hypothesis that account extinction as originating from within the biosystem, or from external causes –what has been called “bad genes or bad luck”. In any case, the pattern of extinctions and of surviving species or groups of species is certainly an interesting problem to model, to understand, and eventually to check with the fossil record. 2
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