森林覆盖对肺癌发病率的影响：中国西南部的案例研究

森林与人类健康密切相关，尤其是与肺癌发病率有关。但是，目前，关于森林覆盖率和不同类型的森林如何影响肺癌的研究有限。 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模型（SDM）]探讨森林覆盖范围和内部森林结构对肺癌发病率的影响。我们使用ArcGI可视化整个研究区域的肺癌的发病率和森林覆盖率。该研究发现森林覆盖范围与肺癌发生率之间存在显着的负相关。具体而言，森林覆盖率每增加1％，肺癌的发病率下降了0.017水平。常绿森林和混合森林对肺癌的率产生了重大负面影响，常绿森林的影响特别强。常绿森林覆盖率增加了1％，与肺癌发生率降低0.027有关。相反，落叶林没有显着影响。此外，该研究表明，西南地区的肺癌发病率和森林覆盖范围是显着的空间异质性：在东部地区观察到较高的肺癌率，而森林覆盖率主要集中在西部和南部地区。这项研究表明，尤其是森林的覆盖范围，尤其是森林的覆盖范围，尤其是森林和混合森林，可以减少lung ung ung ung ung ung cancer concercess。这种影响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过程也可能在肺癌率的空间分布中起重要作用。这些发现为有针对性的森林保护和发展政策的发展提供了经验支持，旨在优化区域森林结构以降低肺癌的风险。

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.