张建国等编著的《杉木自然稀疏与生长模拟(英文版)》基于杉木密度试验林长期定位观测资料，系统解决了杉木林分生长模型系统中优势高生长模型、断面积生长模型以及直径结构模型等三大核心模块的构建问题，深入揭示了杉木人工林自然稀疏法则，实现了杉木最大密度线模拟技术的系统优化。全书共分4部分，围绕杉木优势高生长模拟、断面积生长模拟、直径结构模拟和杉木自然稀疏模拟等进行了论述，阐释了各部分研究的进展，创新性地提出了林分直径结构模拟新模型及其模糊分布拟合思路，提出杉木优势高、断面积生长的代数差分方程及广义代数差分方程模拟技术，首次验证分析了杉木自然稀疏法则与发生轨迹，并从数据点选取、参数估计方法角度建立了杉木最大密度线模拟技术体系。
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目录
Preface
CHAPTER ONE: Modelling of dominant height growth and building of polymorphic site index equations of chinese fir plantations
1 Introduction
2 Material and methods
3 Results and analysis
4 Conclusions
CHAPTER TWO: A review of stand basal area growth models
1 Introduction
2 Features of stand basal area growth models
3 Types of models
4 Early work on stand basal area models
5 Recent progress and future directions
6 Conclusions
CHAPTER THREE: Individual tree basal area growth dynamics of chinese fir
plantations
1 Introduction
2 Materials and methods
3 Results and discussion
4 Conclusion
CHAPTER FOUR: Application of theoretical growth equations for stand
diameter structure simulation of chinese fir plantations
1 Introduction
2 Materials and methods
3 Results and analysis
4 Conclusions
CHAPTER FIVE: A new high-performance diameter distribution function for unthinned chinese fir (Cunninghamia lanceolata) Plantations in southern China
1 Introduction
2 MATERIALS AND METHODS
3 RESIILTS AND DISCUSSION
4 Conclusions
CHAPTER SIX: Application of fuzzy functions in stand diameter distributions of chinese fir (Cunninghamia lanceolata) plantations
1 Introduction
2 Data and Methods
3 Results and Discussion
4 Conclusion
CHAPTER SEVEN: Testing the self-thinning rule in chinese fir (Cunninghamia lanceolata) plantations
1 Introduction
2 Materials and methods
3 Results
4 Discussion
CHAPTER EIGHT: Estimation of the self-thinning boundary line within even-aged chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) stands: Onset of self-thinning
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusions
CHAPTER NINE: A comparison of methods for estimating the self-thinning
boundary line: selecting data points and fitting coefficients
1 Introduction
2 Material and Methods
3 Results and Discussion
4 Conclusions