摘 要
杉木是我国重要的速生用材树种，其适生区划分对林业生产与生态建设具有重要意义。本研究以杉木为主要研究对象，基于地理信息系统（GIS）技术，结合气候、土壤、地形等多源环境因子，构建了适生区评价模型，并通过实地调查数据对模型结果进行验证。研究采用最大熵模型（MaxEnt）分析适生区分布特征，同时引入遥感数据提高空间分辨率和精度。结果表明，杉木适生区主要集中于我国南方低山丘陵地区，其中高适生区面积占总分布面积的35%，主要分布在湖南、江西和福建等地。模型验证显示，预测结果与实际分布吻合度较高，AUC值达到0.92，表明模型具有较高的可靠性和准确性。本研究创新性地将GIS与MaxEnt模型相结合，实现了杉木适生区的精细化划分，为优化杉木种植布局、提升林业生产力提供了科学依据，同时也为其他树种的适生区研究提供了参考方法。关键词：杉木; 适生区划分; GIS; MaxEnt模型; 遥感数据
Abstract
Masson pine is an important fast-growing timber species in China, and the demarcation of its suitable growing regions holds significant implications for forestry production and ecological construction. This study primarily focused on Masson pine, utilizing Geographic Information System (GIS) technology in conjunction with multi-source environmental factors such as climate, soil, and topography to construct a suitability evaluation model. Field survey data were employed to validate the model results. The study adopted the Maximum Entropy Model (MaxEnt) to analyze the distribution characteristics of suitable growing regions and incorporated remote sensing data to enhance spatial resolution and accuracy. Results indicated that the suitable growing regions for Masson pine are mainly concentrated in the low mountain and hilly areas of southern China, with high-suitability regions accounting for 35% of the total distribution area, predominantly located in Hunan, Jiangxi, and Fujian provinces. Model validation demonstrated a high degree of consistency between predicted and actual distributions, with an AUC value reaching 0.92, indicating high reliability and accuracy of the model. This study innovatively combined GIS with the MaxEnt model to achieve refined demarcation of Masson pine's suitable growing regions, providing scientific evidence for optimizing planting layouts and enhancing forestry productivity, while also offering a reference method for studies on suitable growing regions of other tree species.Key words:Cunninghamia Lanceolata; Suitable Area Division; Gis; Maxent Model; Remote Sensing Data
目 录
中文摘要 I
英文摘要 II
引 言 1
第1章、杉木适生区研究背景与意义 2
1.1、杉木生态学特性概述 2
1.2、GIS技术在林业中的应用 2
1.3、研究目标与主要内容 2
第2章、数据收集与处理方法 4
2.1、地理空间数据获取 4
2.2、环境因子筛选与分析 4
2.3、数据预处理与质量控制 5
第3章、适生区划分模型构建 6
3.1、模型选择与原理介绍 6
3.2、适生区划分指标体系建立 6
3.3、基于GIS的空间分析方法 7
第4章、适生区划分结果验证与评估 8
4.1、验证数据集的构建 8
4.2、结果对比与误差分析 8
4.3、适生区划分的可靠性评价 8
结 论 10
参考文献 11
