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生态学杂志 ›› 2022, Vol. 41 ›› Issue (1): 150-158.doi: 10.13292/j.1000-4890.202201.026

• 研究报告 • 上一篇    下一篇

基于MODIS和CASA模型的伊春市森林植被NPP变化特征及其影响因子分析

刘文瑞1,2,李晓婷1,李彤1,贾宝全1*   

  1. 1中国林业科学研究院林业研究所, 国家林业和草原局林木培育重点实验室, 国家林业和草原局城市森林研究中心, 北京 100091;2平顶山学院, 河南平顶山 467000)
  • 出版日期:2022-01-10 发布日期:2022-06-10

Spatiotemporal variations of forest NPP and related driving factors based on MODIS and CASA models in Yichun.

LIU Wen-rui1,2, LI Xiao-ting1, LI Tong1, JIA Bao-quan1*   

  1. (1Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, National Forestry and Grassland Administration, Research Center of Urban Forestry, National Forestry and Grassland Administration, Beijing 100091, China; 2Pingdingshan University, Pingdingshan 467000, Henan, China).
  • Online:2022-01-10 Published:2022-06-10

摘要: 植被净初级生产力(net primary productivity,NPP)是判定生态系统质量状况和碳汇的重要因子,反映了植被群落的生产能力和生态过程,对调节全球碳平衡、增强生态服务功能具有重要的意义。本文基于MODIS卫星遥感资料和改进的CASA模型,利用2000—2019年MOD17A3HGF的NPP年际数据和气象资料,对伊春森林植被NPP变化特征及气温降水、人类活动等主要因素进行分析。结果表明:2000—2019年,伊春全域年均森林植被NPP为477.76 g C·m-2·a-1,NPP值主要集中在400~500 g C·m-2·a-1,占伊春全域面积的83.30%,呈现南北部局部高,中部平均,嘉荫、铁力平原区域最低的分布特点;伊春落叶阔叶林植被对NPP高值区域贡献率最高,其次为常绿针叶林,针阔混交林大部分NPP值处于伊春NPP平均水平,而落叶针叶林、常绿落叶林总体面积分布很少;2000—2019年伊春森林植被NPP年际变化呈现波动但总体上升的趋势,其中极显著增加趋势为主,占总面积的81.43%;年尺度上,年降水量与伊春年均NPP相关性高,而年平均气温与年均NPP相关性不高;月尺度上,伊春植被受气温影响显著,受降水量影响较小,尤其是伊美区和金林区交界处山地等高海拔地区和汤旺县南部及丰林自然保护区、五营国家森林公园等红松集中区域,而平原和低海拔地区植被NPP受气温和降水共同影响;伊春天保工程等生态工程和各项保护举措在促进植被生态恢复过程中发挥重要作用。

关键词: 植被净初级生产力, MOD17A3HGF, CASA模型, 气象, 国有林区

Abstract: Net primary productivity (NPP) is an important factor to judge the quality of ecosystem and carbon sink, and reflects the production capacity and ecological process of plant community, which is of great significance for regulating global carbon balance and enhancing ecological services. Based on MODIS satellite remote sensing data and improved CASA model, the dynamic changes of forest vegetation NPP in Yichun and the main affecting factors such as temperature, precipitation, and human activities were analyzed by using MOD17A3HGF NPP annual data and meteorological data from 2000 to 2019. The results showed that, from 2000 to 2019, the average NPP of forests in Yichun was 477.76 g C·m-2·a-1, and the NPP was mainly in the range of 400-500 g C·m-2·a-1, accounting for 83.30% of the total in Yichun, showing the distribution characteristics of partly high in the north and south, average in the middle, and lowest in Jiayin and Tieli Plain. The deciduous broad-leaved forest in Yichun had the highest contribution to the area with high NPP value, followed by evergreen coniferous forest. The main NPP value of coniferous and broad-leaved mixed forest was at the average level of NPP in Yichun, while the area of deciduous coniferous forest and evergreen deciduous forest was relatively small. From 2000 to 2019, the interannual NPP of forests in Yichun showed a fluctuation but overall increasing trend, among which the extremely significant increasing trend was the main one, accounting for 81.43% of the total area. On the interannual scale, there was a close correlation between annual precipitation and annual average NPP in Yichun, but a low correlation between mean annual temperature and annual average NPP. On the monthly scale, vegetation was significantly affected by temperature and less affected by precipitation, especially in the high-altitude areas such as the mountains at the junction of Yimei District, and the Korean pine concentrated area such as the southern part of Tangwang County, Fenglin Nature Reserve, Wuying National Forest Park. In the plain and low altitude areas, NPP was affected by both temperature and precipitation. Ecological projects, such as the Yichun Natural Forest Protection Project and various conservation measures, played an important role in promoting the ecological restoration of vegetation.

Key words: net primary productivity, MOD17A3HGF, CASA model, meteorology, state-owned forest area.