森林与人类健康密切相关，尤其是肺癌的发病率。然而，目前关于森林覆盖率和不同类型的森林如何影响肺癌发病率的研究有限。本研究旨在通过研究中国西南地区不同森林类型的覆盖度对肺癌发病率的影响来弥补这一差距，从而为健康导向的森林结构规划提供理论支持。我们以中国西南地区的438个县为研究对象，采用空间自相关分析（ Moran's I）和空间回归模型[包括空间滞后模型（SLM）、空间误差模型（SEM）和空间杜宾模型（SDM）]探讨森林覆盖度和内部森林结构对肺癌发病率的影响。我们使用 ArcGIS 可视化整个研究区域的肺癌发病率和森林覆盖率。研究发现森林覆盖率与肺癌发病率之间存在显着的负相关。具体来说，森林覆盖率每增加1%，肺癌发病率就会下降0.017个百分点。常绿森林和混交林对肺癌发病率显示出显着的负面影响，其中常绿森林的影响尤其强烈；常绿森林覆盖率每增加 1%，肺癌发病率就会降低 0.027 水平。相比之下，落叶林则没有显着影响。此外，研究还发现，中国西南地区肺癌发病率和森林覆盖率存在明显的空间异质性：东部地区肺癌发病率较高，而森林覆盖率主要集中在西部和南部地区。覆盖率，特别是常绿林和混交林的覆盖率，有助于降低肺癌发病率。这种效应可能与森林吸收空气中有害气体和颗粒物的能力有关。此外，肺癌发病率的空间异质性表明，区域经济发展水平和城市化进程也可能在肺癌发病率的空间分布中发挥重要作用。研究结果为制定旨在优化区域森林结构以降低肺癌风险的有针对性的森林保护和发展政策提供了实证支持。版权所有 © 2024 Yu、Wang、Huang、Yue、Chu、Sun、Gao、Yang 和Zhang。

Forests are closely linked to human health, particularly about lung cancer incidence. However, there is currently limited research on how forest coverage and different types of forests influence lung cancer rates. This study aims to address this gap by examining how the coverage of various forest types impacts lung cancer incidence in Southwest China, thereby providing theoretical support for health-oriented forest structure planning.We focused on 438 counties in Southwest China, employing spatial autocorrelation analysis (Moran's I) and spatial regression models [including Spatial Lag Model (SLM), Spatial Error Model (SEM), and Spatial Durbin Model (SDM)] to explore the effects of forest coverage and internal forest structure on lung cancer incidence. We used ArcGIS to visualize lung cancer incidence and forest coverage rates across the study area.The study found a significant negative correlation between forest coverage and lung cancer incidence. Specifically, for every 1% increase in forest coverage, lung cancer incidence decreased by 0.017 levels. Evergreen forests and mixed forests showed a significant negative impact on lung cancer rates, with evergreen forests having a particularly strong effect; a 1% increase in evergreen forest coverage was associated with a 0.027 level decrease in lung cancer incidence. In contrast, deciduous forests had no significant impact. Additionally, the study revealed a marked spatial heterogeneity in lung cancer incidence and forest coverage across Southwest China: higher lung cancer rates were observed in the eastern regions, while forest coverage was predominantly concentrated in the western and southern regions.This study demonstrates that increasing forest coverage, particularly of evergreen and mixed forests, can help reduce lung cancer incidence. This effect may be related to the ability of forests to absorb harmful gasses and particulate matter from the air. Furthermore, the spatial heterogeneity in lung cancer incidence suggests that regional economic development levels and urbanization processes may also play significant roles in the spatial distribution of lung cancer rates. The findings provide empirical support for the development of targeted forest conservation and development policies aimed at optimizing regional forest structures to reduce the risk of lung cancer.Copyright © 2024 Yu, Wang, Huang, Yue, Chu, Sun, Gao, Yang and Zhang.