东北地区生长季长度变化及其对总初级生产力的影响分析

doi:10.13249/j.cnki.sgs.2018.02.015284-292王苗苗s/img_1.jpg1961.01.0

地理科学 ›› 2018, Vol. 38 ›› Issue (2): 284-292.doi: 10.13249/j.cnki.sgs.2018.02.015284-292王苗苗s/img_1.jpg1961.01.0

东北地区生长季长度变化及其对总初级生产力的影响分析

王苗苗^1,²(), 周蕾¹(), 王绍强^1,², 汪小钦³

1.中国科学院地理科学与资源研究所生态系统网络观测与模拟重点实验室,北京 100101
2.中国科学院大学资源与环境学院,北京 100190
3.福州大学空间数据挖掘与信息共享教育部重点实验室福建省空间信息工程研究中心,福建福州 350002

收稿日期:2017-02-17 修回日期:2017-03-21 出版日期:2018-04-10 发布日期:2018-04-10
作者简介:
作者简介：王苗苗（1991-）,女,福建古田人,博士研究生,主要从事生态遥感及生态模型研究。E-mail：wangmm.16b@igsnrr.ac.cn
基金资助:
国家重点研发计划（2017YFC0503803,2016YFA0600202,2016YFB0501501）、国家自然科学基金项目（41571192）资助

Change of Growing Season Length and Its Effects on Gross Primary Productivity in Northeast China

Miaomiao Wang^1,²(), Lei Zhou¹(), Shaoqiang Wang^1,², Xiaoqin Wang³

1. Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographical Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing 100101, China
2. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
3. Spatial Information Research Center of Fujian Province, Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, Fujian, China;

Received:2017-02-17 Revised:2017-03-21 Online:2018-04-10 Published:2018-04-10
Supported by:
National Key Research and Development Program of China (2017YFC0503803,2016YFA0600202,2016YFB0501501), National Natural Science Foundation of China (41571192).]

摘要/Abstract

摘要：

基于生态过程机理模型BEPS（Boreal Ecosystem Productivity Simulator）和卫星遥感资料模拟了2001~2010年中国东北地区陆地生态系统总初级生产力（GPP）的时空分布特征,分析了生长季长度变化及其对东北地区陆地生态系统GPP的影响。研究表明：① 2001~2010年东北地区生长季开始时间、结束时间及生长季长度均没有显著的变化趋势,生长季长度的变化主要受到春季温度的影响。② 东北地区陆地生态系统年均GPP总值为1 057.8±44.6 TgC,其中生长季内GPP值约占总GPP值的97.57%,即东北地区GPP主要是在生长季内固定的碳量。③ 东北地区GPP主要受降水量的调节,而生长季长度变化对GPP的影响并不显著。

关键词: 生长季长度, 总初级生产力, BEPS模型, 东北地区

Abstract:

The globally averaged combined land and ocean surface temperature show a warming of 0.85℃ over the period 1880 to 2012. This phenomenon is mainly due to the burning of oil, gas, coal and wood for energy since the industrial age. Climate change has already affected the carbon cycle of terrestrial ecosystems. An obviously observable effect of such ongoing changes is the timing of phenology events, such as bud-burst, flowering, leaf unfolding, and leaf coloration. Phenology studies based on ground and remote sensing observation indicate that the length of vegetation growing season has significantly increased over the past decades, principally through an earlier beginning and a later termination. So it is necessary to study the effects of changes in growing season length on gross primary productivity (GPP) of terrestrial ecosystem under the global warming in the middle and high latitude. Northeast China is located at middle latitudes in the northern Hemisphere and is an area that exhibits prominent climate changes. Boreal Ecosystem Productivity Simulator (BEPS) is an ecological process based model, which originally stemmed from the FOREST Bio-Geochemical Cycles (FOREST-BGC) model. This model includes photosynthesis, energy balance, hydrological, and soil biogeochemical modules. Stratifying canopies into sunlit and shaded leaves, it incorporates a new temporal and spatial scaling scheme into Farquhar’s instantaneous leaf biochemical model to calculate daily carbon ?xation. In this article, firstly, we run BEPS model, combined with meteorological data (including maximum and minimum air temperatures, precipitation, relative humidity and solar radiation), remote sensing data and soil data to simulate the spatial and temporal distribution of GPP in Northeast China during 2001-2010. Then, we analyzed the change of growing season length and its effect on GPP in Northeast China from 2001 to 2010. The results show that: ① There are no significant trends in the start, end and length of growing season in 2001-2010 (R²≤0.22,P≥0.17) in Northeast China. The length of growing season is more affected by the start of growing season, and the start of growing season have a significant correlation with spring temperature (R²=0.74,P=0.001), so we can conclude that the length of growing season is mainly affected by spring temperature. ② The terrestrial ecosystem’s annual mean GPP is about 1 057.8±44.6 TgC in Northeast China. There is about 1 032.2±45.8 TgC GPP in growing season, accounting for 97.5% in total. It means that Northeast China’s GPP is mainly sequestered in growing season. ③ The interannual variation of GPP is not significantly affected by the change of growing season length, it is mainly regulated by precipitation in Northeast China. And the response of the main vegetation type to phenology is consistent with that of the whole Northeast China. However, there are also some uncertainties in GPP simulation and in growing season length definition, so we should take more models to simulate GPP and use more methods to define the length of growing season in the future research.

Key words: length of growing season, gross primary productivity, BEPS model, Northeast China

中图分类号:

王苗苗, 周蕾, 王绍强, 汪小钦. 东北地区生长季长度变化及其对总初级生产力的影响分析[J]. 地理科学, 2018, 38(2): 284-292.

Miaomiao Wang, Lei Zhou, Shaoqiang Wang, Xiaoqin Wang. Change of Growing Season Length and Its Effects on Gross Primary Productivity in Northeast China[J]. SCIENTIA GEOGRAPHICA SINICA, 2018, 38(2): 284-292.

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东北地区生长季长度变化及其对总初级生产力的影响分析

Change of Growing Season Length and Its Effects on Gross Primary Productivity in Northeast China

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