我国不同季节陆地植被NPP对气候变化的响应(英文)
阐明不同季节陆地植被净第一性生产力 (NPP)对全球变化的响应将有助于理解陆地生态系统和气候系统之间的相互作用以及NPP变化机制。本文使用 1982~ 1999年间的AVHRR/NDVI、气温、降水以及太阳辐射等资料 ,结合植被分布图和土壤质地图 ,利用生态过程模型 ,研究不同季节我国陆地植被NPP的年际变化及其地理分异。结果表明 ,在 1982~ 1999年的 18年间 ,4个季节的NPP都呈显著增加趋势。其中 ,春季是NPP增加速率最快的季节 ,夏季是NPP增加量最大的季节。不同植被类型对全球变化的响应有很大差异。常绿阔叶林、常绿针叶林和落叶针叶林NPP的增加主要由生长季节的提前所致 ,而...
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植物学报
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ftpekinguniv:oai:localhost:20.500.11897/177298 2023-05-15T18:40:49+02:00 我国不同季节陆地植被NPP对气候变化的响应(英文) Seasonal dynamics of terrestrial net primary production in response to climate changes in China 朴世龙 方精云 陈安平 北京大学生态学系 北京大学生态学系 北京大学地表过程分析与模拟教育部重点实验室 北京100871 北京大学地表过程分析与模拟教育部重点实验室 2003 https://hdl.handle.net/20.500.11897/177298 https://doi.org/10.3321/j.issn:1672-9072.2003.03.003 zh chi 植物学报 Acta Botanica Sinica.2003,(03),269-275. 873367 0577-7496 http://hdl.handle.net/20.500.11897/177298 doi:10.3321/j.issn:1672-9072.2003.03.003 WOS:000181805100003 SCI 万方 知网 CASA模型 净第一性生产力(NPP) 季节变化 归一化植被指数(NDVI) 气候变化 Carnegie-Ames-Stanford-Approach (CASA) model net primary production (NPP) seasonal change normalized difference vegetation index (NDVI) climate change Journal 2003 ftpekinguniv https://doi.org/20.500.11897/177298 https://doi.org/10.3321/j.issn:1672-9072.2003.03.003 2021-08-01T08:14:36Z 阐明不同季节陆地植被净第一性生产力 (NPP)对全球变化的响应将有助于理解陆地生态系统和气候系统之间的相互作用以及NPP变化机制。本文使用 1982~ 1999年间的AVHRR/NDVI、气温、降水以及太阳辐射等资料 ,结合植被分布图和土壤质地图 ,利用生态过程模型 ,研究不同季节我国陆地植被NPP的年际变化及其地理分异。结果表明 ,在 1982~ 1999年的 18年间 ,4个季节的NPP都呈显著增加趋势。其中 ,春季是NPP增加速率最快的季节 ,夏季是NPP增加量最大的季节。不同植被类型对全球变化的响应有很大差异。常绿阔叶林、常绿针叶林和落叶针叶林NPP的增加主要由生长季节的提前所致 ,而. Study on seasonal responses of terrestrial net primary production (NPP) to climate changes is to help understand feedback between climate systems and terrestrial ecosystems and mechanisms of increased NPP in the northern middle and high latitudes. In this study, time series dataset of normalized difference vegetation index (NDVI) and corresponding ground-based information on vegetation, climate, soil, and solar radiation, together with an ecological process model, were used to explore the seasonal trends of terrestrial NPP and their geographical differences in China from 1982 to 1999. As the results,. seasonal total NPP in China showed a significant increase for all four seasons (spring, summer, autumn and winter) during the past 18 years. The spring NPP indicated the largest increase rate, while the summer NPP was with the largest increase in magnitude. The response of NPP to climate changes varied with different vegetation types. The increased NPP was primarily led by an advanced growing season for broadleaf evergreen forest, needle-leaf evergreen forest, and needle-leaf deciduous forest, whilst that was mainly due to enhanced vegetation activity (amplitude of growth cycle) during growing season for broadleaf deciduous forest, broadleaf and needle-leaf mixed forest, broadleaf trees with groundcover, perennial grasslands, broadleaf shrubs with grasslands, tundra, desert, and cultivation. The regions with the largest increase in spring NPP appeared mainly in eastern China, while the areas with the largest increase in summer NPP occurred in most parts of Northwestern China, Qinghai-Xizang Plateau, Mts. Xiaoxinganling-Changbaishan, Sanjiang Plain, Songliao Plain, Sichuan Basin, Leizhou Peninsula, part of the middle and lower Yangtze River, and southeastern mountainous areas of China. In autumn, the largest NPP increase appeared in Yunnan Plateau-Eastern Xizang and the areas around Hulun Lake. Such different ways of the NPP responses depended on regional climate attributes and their changes. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000181805100003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 SCI(E) 中国科学引文数据库(CSCD) 24 03 269-275 45 Journal/Newspaper Tundra Peking University Institutional Repository (PKU IR) |
institution |
Open Polar |
collection |
Peking University Institutional Repository (PKU IR) |
op_collection_id |
ftpekinguniv |
language |
Chinese |
topic |
CASA模型 净第一性生产力(NPP) 季节变化 归一化植被指数(NDVI) 气候变化 Carnegie-Ames-Stanford-Approach (CASA) model net primary production (NPP) seasonal change normalized difference vegetation index (NDVI) climate change |
spellingShingle |
CASA模型 净第一性生产力(NPP) 季节变化 归一化植被指数(NDVI) 气候变化 Carnegie-Ames-Stanford-Approach (CASA) model net primary production (NPP) seasonal change normalized difference vegetation index (NDVI) climate change 朴世龙 方精云 陈安平 我国不同季节陆地植被NPP对气候变化的响应(英文) |
topic_facet |
CASA模型 净第一性生产力(NPP) 季节变化 归一化植被指数(NDVI) 气候变化 Carnegie-Ames-Stanford-Approach (CASA) model net primary production (NPP) seasonal change normalized difference vegetation index (NDVI) climate change |
description |
阐明不同季节陆地植被净第一性生产力 (NPP)对全球变化的响应将有助于理解陆地生态系统和气候系统之间的相互作用以及NPP变化机制。本文使用 1982~ 1999年间的AVHRR/NDVI、气温、降水以及太阳辐射等资料 ,结合植被分布图和土壤质地图 ,利用生态过程模型 ,研究不同季节我国陆地植被NPP的年际变化及其地理分异。结果表明 ,在 1982~ 1999年的 18年间 ,4个季节的NPP都呈显著增加趋势。其中 ,春季是NPP增加速率最快的季节 ,夏季是NPP增加量最大的季节。不同植被类型对全球变化的响应有很大差异。常绿阔叶林、常绿针叶林和落叶针叶林NPP的增加主要由生长季节的提前所致 ,而. Study on seasonal responses of terrestrial net primary production (NPP) to climate changes is to help understand feedback between climate systems and terrestrial ecosystems and mechanisms of increased NPP in the northern middle and high latitudes. In this study, time series dataset of normalized difference vegetation index (NDVI) and corresponding ground-based information on vegetation, climate, soil, and solar radiation, together with an ecological process model, were used to explore the seasonal trends of terrestrial NPP and their geographical differences in China from 1982 to 1999. As the results,. seasonal total NPP in China showed a significant increase for all four seasons (spring, summer, autumn and winter) during the past 18 years. The spring NPP indicated the largest increase rate, while the summer NPP was with the largest increase in magnitude. The response of NPP to climate changes varied with different vegetation types. The increased NPP was primarily led by an advanced growing season for broadleaf evergreen forest, needle-leaf evergreen forest, and needle-leaf deciduous forest, whilst that was mainly due to enhanced vegetation activity (amplitude of growth cycle) during growing season for broadleaf deciduous forest, broadleaf and needle-leaf mixed forest, broadleaf trees with groundcover, perennial grasslands, broadleaf shrubs with grasslands, tundra, desert, and cultivation. The regions with the largest increase in spring NPP appeared mainly in eastern China, while the areas with the largest increase in summer NPP occurred in most parts of Northwestern China, Qinghai-Xizang Plateau, Mts. Xiaoxinganling-Changbaishan, Sanjiang Plain, Songliao Plain, Sichuan Basin, Leizhou Peninsula, part of the middle and lower Yangtze River, and southeastern mountainous areas of China. In autumn, the largest NPP increase appeared in Yunnan Plateau-Eastern Xizang and the areas around Hulun Lake. Such different ways of the NPP responses depended on regional climate attributes and their changes. http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000181805100003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 SCI(E) 中国科学引文数据库(CSCD) 24 03 269-275 45 |
author2 |
北京大学生态学系 北京大学生态学系 北京大学地表过程分析与模拟教育部重点实验室 北京100871 北京大学地表过程分析与模拟教育部重点实验室 |
format |
Journal/Newspaper |
author |
朴世龙 方精云 陈安平 |
author_facet |
朴世龙 方精云 陈安平 |
author_sort |
朴世龙 |
title |
我国不同季节陆地植被NPP对气候变化的响应(英文) |
title_short |
我国不同季节陆地植被NPP对气候变化的响应(英文) |
title_full |
我国不同季节陆地植被NPP对气候变化的响应(英文) |
title_fullStr |
我国不同季节陆地植被NPP对气候变化的响应(英文) |
title_full_unstemmed |
我国不同季节陆地植被NPP对气候变化的响应(英文) |
title_sort |
我国不同季节陆地植被npp对气候变化的响应(英文) |
publisher |
植物学报 |
publishDate |
2003 |
url |
https://hdl.handle.net/20.500.11897/177298 https://doi.org/10.3321/j.issn:1672-9072.2003.03.003 |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
SCI 万方 知网 |
op_relation |
Acta Botanica Sinica.2003,(03),269-275. 873367 0577-7496 http://hdl.handle.net/20.500.11897/177298 doi:10.3321/j.issn:1672-9072.2003.03.003 WOS:000181805100003 |
op_doi |
https://doi.org/20.500.11897/177298 https://doi.org/10.3321/j.issn:1672-9072.2003.03.003 |
_version_ |
1766230262084009984 |