详细信息
吉林省落叶松林净初级生产力时空特征及其对气候变化的响应 被引量:9
Temporal-spatial characteristics of NPP and its response to climate change of Larix forests in Jilin Province
文献类型:期刊文献
中文题名:吉林省落叶松林净初级生产力时空特征及其对气候变化的响应
英文题名:Temporal-spatial characteristics of NPP and its response to climate change of Larix forests in Jilin Province
作者:李芸[1] 王轶夫[1] 孙玉军[1] 雷渊才[2] 邵卫才[3] 李杰[4]
第一作者:李芸
机构:[1]北京林业大学森林资源和环境管理国家林业和草原局重点实验室,北京100083;[2]中国林业科学研究院资源信息研究所,北京100091;[3]北京市通州区园林绿化局,北京101121;[4]北京市十三陵林场,北京102200
年份:2022
卷号:42
期号:3
起止页码:947-959
中文期刊名:生态学报
外文期刊名:Acta Ecologica Sinica
收录:CSTPCD;;Scopus;北大核心:【北大核心2020】;CSCD:【CSCD2021_2022】;
基金:国家自然科学基金项目(31800536);中央高校基本科研业务费专项资金(BLX201614)。
语种:中文
中文关键词:落叶松林;LPJ-DGVM模型;净初级生产力;气候变化
外文关键词:Larix forests;LPJ-DGVM model;net primary productivity;climate change
分类号:S718.5
摘要:为评估吉林省落叶松林的生产力现状并为我国森林生态系统生产力和植被监测研究提供基础数据,以吉林省落叶松林为研究对象,基于吉林省及其周边100 km范围内41个气象站点资料,采用LPJ-DGVM模型模拟了2000-2019年吉林省落叶松林近20年的净初级生产力,并采用线性回归趋势分析、变异系数、Hurst指数和相关性分析法对其时空变化、稳定性及其与气候因子的相关关系进行了分析。结果表明:(1)2000-2019年吉林省落叶松林年均净初级生产力(NPP)为592 g C m^(-2)a^(-1),年均增长率为2.81%,随时间推移呈现波动增长的趋势(β=14.55,R^(2)=0.784,P<0.01)。(2)NPP变异系数为0.07-2.33,均值为0.48,除幼龄林外,整体波动较小。Hurst指数介于0.441-0.849之间,均值为0.612,未来吉林省落叶松林NPP呈增加趋势。(3)吉林省落叶松林NPP存在明显的空间异质性,北部和南部区域NPP较高,是近20年NPP增长较快的区域。(4)2000-2019年吉林省落叶松林年均NPP与年总降水、生长季降水量之间均不显著(P>0.05),与年均温呈显著正相关(P<0.05),与生长季均温为极显著正相关(P<0.01),该阶段内温度比降水更能对吉林省落叶松林NPP的年际变化产生影响。LPJ模型模拟吉林省落叶松林2000-2019年NPP与样地实测值极显著相关(P<0.01),可以用于模拟吉林省落叶松林的NPP。
To assess the present productivity of Larix forests in Jilin Province and provide basic statistics for forest ecosystem productivity and vegetation monitoring,this study simulated Larix forests net primary productivity(NPP)from 2000 to 2019 using LPJ-DGVM model(Lund-Potsdam-Jena Dynamic Global Vegetation Model)based on 41 weather stations data within 100 km of Jilin Province and its surrounding areas.We analyzed temporal and spatial variations,stability and the correlation with climate factors through linear regression,coefficient of variation,Hurst index and Pearson correlation coefficients analysis.The results showed that:(1)from 2000 to 2019,the average annual NPP of Larix forests in Jilin Province was 592 g C m^(-2)a^(-1).The average annual growth rate was 2.81%,showing a trend of fluctuating growth with time(β=14.55,R^(2)=0.784,P<0.01).(2)The mean value of coefficient of variation of the Jilin Larix forests NPP was 0.48 with range from 0.07 to 2.33.Except for young forests,the overall fluctuation was slight.The Hurst index ranged from 0.441 to 0.849,with an average value of 0.612.In the future,the NPP of Larix forests in Jilin Province will generally increase.(3)There existed obviously spatial heterogeneity in the NPP of Jilin Province Larix forests.The NPP of northern and southern regions was higher,where NPP has grown rapidly in the past 20 years.(4)From 2000 to 2019,there was no significant correlation between the annual average NPP of the Jilin Province Larix forests and the total annual precipitation plus the precipitation in the growing season(P>0.05).In addition,there was a significantly positive correlation relationship between annual average NPP and average annual temperature(P<0.05)and an extremely significant positive correlation with the average temperature in the growing season(P<0.01).The temperature had greater impact on the inter-annual change of the Larix forests NPP of Jilin Province in 2000-2019 than the precipitation.The NPP simulated by LPJ model from 2000 to 2019 was very significantly correlated with the measured values(P<0.01),which can be used to simulate the NPP of Larix forests in Jilin Province.
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