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浙江省丽水市亚热带森林景观格局对森林碳密度的影响

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[目的]定量分析浙江省丽水市亚热带森林景观格局对森林碳密度的影响,为开展森林经营、生态保护修复以提高亚热带森林碳汇功能提供理论依据。[方法]基于省级固定样地数据,使用生物量模型和含碳率测算样地的森林碳密度,再通过普通Kriging插值形成区域森林碳密度分布图,并分析森林碳密度的空间自相关特征。选取5项景观格局指标和3项自然因素,利用多尺度地理加权回归(MGWR)模型探讨森林景观格局对森林碳密度的影响,并分析影响结果的空间非平稳性。[结果]2012-2019年,丽水市森林平均碳密度从23。19 t·hm-2上升到31。96 t·hm-2,且空间分布呈显著的正空间自相关性。森林景观格局显著影响森林碳密度,并表现不同尺度效应,影响程度在空间上也存在差异。景观蔓延度和斑块密度对森林碳密度驱动力较大,而景观最大斑块指数的驱动力较小。[结论]森林景观格局对森林碳密度的影响表现较为明显的空间异质性,应地制宜制定森林经营管理政策,实施自然演替和人工干预相结合的生态系统保护修复工程。图3表4参42
Impact of subtropical forest landscape pattern on forest carbon density in Lishui City of Zhejiang Province
[Objective]This study,with an quantitative analysis of the effects of forest landscape pattern on forest carbon density in Lishui City,Zhejiang Province,is aimed to provide theoretical basis for forest management,ecological protection and restoration so as to improve forest carbon sink function.[Method]First,the forest carbon density of the continuous forest inventory plots was measured by using the biomass model and carbon coefficient.Then,the distribution map of regional forest carbon density was formed by ordinary Kriging interpolation before an analysis was conducted of the spatial autocorrelation characteristics of forest carbon density.Lastly,five landscape pattern indicators and three natural factors were selected,and multiscale geographically weighted regression(MGWR)models were used to investigate the effects of forest landscape pattern on forest carbon density,while the spatial non-stationarity affecting the results was analyzed.[Result]From 2012 to 2019,the average forest carbon density in Lishui increased from 23.19 t·hm-2 to 31.96 t·hm-2,and the spatial distribution showed a significant positive spatial autocorrelation.Forest landscape pattern significantly affected forest carbon density,showing different scale effects,and the degree of impact was also different in space.Landscape pattern indexes contagion(CONTAG)and patch density(PD)had a greater driving force on forest carbon density,while largest path index(LPI)had a smaller one.[Conclusion]The effects of forest landscape pattern on forest carbon density showed obvious spatial heterogeneity and the results of this paper can provide reference for making differentiated forest management policies and implementing targeted ecosystem protection and restoration projects.[Ch,3 fig.4 tab.42 ref.]

forest landscapeforest carbon densitymultiscale geographically weighted regressioninfluencing factorsubtropical hilly regionLishui City

王剑武、季碧勇、王铮屹、朱程昊

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浙江省森林资源监测中心,浙江杭州 310020

国家林业和草原局华东调查规划院,浙江杭州 310019

森林景观格局 森林碳密度 多尺度地理加权回归 影响因素 亚热带丘陵区 丽水市

浙江省"领雁"研发攻关计划项目浙江省省院合作林业科技项目

2022C020532021SY05

2024

浙江农林大学学报
浙江农林大学

浙江农林大学学报

CSTPCD北大核心
影响因子:0.929
ISSN:2095-0756
年,卷(期):2024.41(1)
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