Classification and Net Primary Productivity of the Southern China’s Grasslands Ecosystem Based on Improved Comprehensive and Sequential Classiifcation System (CSCS) Approach
This research classiifed vegetation types and evaluated net primary productivity (NPP) of southern China’s grasslands based on the improved comprehensive and sequential classiifcation system (CSCS), and proposed 5 thermal grades and 6 humidity grades. Four classes of grasslands vegetation were recog...
Saved in:
Published in | 农业科学学报(英文版) no. 4; pp. 893 - 903 |
---|---|
Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
College of Animal Sciences and Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China%School of Life Science, Nanjing University, Nanjing 210093, P.R.China%International Institute for Earth System Science, Nanjing University, Nanjing 210093, P.R.China
2014
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | This research classiifed vegetation types and evaluated net primary productivity (NPP) of southern China’s grasslands based on the improved comprehensive and sequential classiifcation system (CSCS), and proposed 5 thermal grades and 6 humidity grades. Four classes of grasslands vegetation were recognized by improved CSCS, namely, tundra grassland class, typical grassland class, mixed grassland class and alpine grassland class. At the type level, 14 types of vegetations (9 grasslands and 5 forests) were classiifed. The NPP had a trend to decrease from east to west and south to north, and the annual mean NPP was estimated to be 656.3 g Cm-2yr-1. The NPP value of alpine grassland class was relatively high, generally more than 1200 g Cm-2yr-1. The NPP value of mixed grassland class was in a range from 1000 to 1200 g Cm-2yr-1. Tundra grassland class was located in southeastern Tibet with high elevation, and its NPP value was the lowest (<600 g Cm-2yr-1). The typical grassland class distributed in most of the area, and its NPP value was generally from 600 to 1000 g Cm-2yr-1. The total NPP value in the study area was 68.46 TgC. The NPP value of typical grassland class was the highest (48.44 TgC), and mixed grassland class was the second (16.54 TgC), followed by alpine grassland class (3.22 TgC), with tundra grassland class being the lowest (0.25 TgC). For all the grasslands types, the total NPP of forest meadow was the highest (34.81TgC), followed by sparse forest brush (16.54 TgC), and montane meadow was the lowest (0.01TgC). |
---|---|
AbstractList | This research classiifed vegetation types and evaluated net primary productivity (NPP) of southern China’s grasslands based on the improved comprehensive and sequential classiifcation system (CSCS), and proposed 5 thermal grades and 6 humidity grades. Four classes of grasslands vegetation were recognized by improved CSCS, namely, tundra grassland class, typical grassland class, mixed grassland class and alpine grassland class. At the type level, 14 types of vegetations (9 grasslands and 5 forests) were classiifed. The NPP had a trend to decrease from east to west and south to north, and the annual mean NPP was estimated to be 656.3 g Cm-2yr-1. The NPP value of alpine grassland class was relatively high, generally more than 1200 g Cm-2yr-1. The NPP value of mixed grassland class was in a range from 1000 to 1200 g Cm-2yr-1. Tundra grassland class was located in southeastern Tibet with high elevation, and its NPP value was the lowest (<600 g Cm-2yr-1). The typical grassland class distributed in most of the area, and its NPP value was generally from 600 to 1000 g Cm-2yr-1. The total NPP value in the study area was 68.46 TgC. The NPP value of typical grassland class was the highest (48.44 TgC), and mixed grassland class was the second (16.54 TgC), followed by alpine grassland class (3.22 TgC), with tundra grassland class being the lowest (0.25 TgC). For all the grasslands types, the total NPP of forest meadow was the highest (34.81TgC), followed by sparse forest brush (16.54 TgC), and montane meadow was the lowest (0.01TgC). |
Author | JU Wei-min SUN Cheng-ming SUN Zheng-guo ZHOU Wei LI Jian-long |
AuthorAffiliation | College of Animal Sciences and Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China%School of Life Science, Nanjing University, Nanjing 210093, P.R.China%International Institute for Earth System Science, Nanjing University, Nanjing 210093, P.R.China |
AuthorAffiliation_xml | – name: College of Animal Sciences and Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China%School of Life Science, Nanjing University, Nanjing 210093, P.R.China%International Institute for Earth System Science, Nanjing University, Nanjing 210093, P.R.China |
Author_xml | – sequence: 1 fullname: SUN Zheng-guo – sequence: 2 fullname: SUN Cheng-ming – sequence: 3 fullname: ZHOU Wei – sequence: 4 fullname: JU Wei-min – sequence: 5 fullname: LI Jian-long |
BookMark | eNqVjk1Ow0AMRmdRJAr0Dl7SRaVJ2iC6hFH52aBKYV9ZidNMSTxlPAmEFdfgFNyJkzCivQCr90m2n78zNWLHNFLjVC-z2TxJlqdqIrLTWidZpvXV9Vh9mwZFbGULDNYxIJfwRAHW3rboh0hXdkWwvQ0DuApCTZC7LsIzmNoy_nx-Cdz7aGniscCqcDJIoBZuUaiEKH1s9971MRsXE9XEYnv6-5XTa0ccLDZwaGKrY5P8ILk0ucmncLOPCizqC3VSYSM0OfJcTe9Wz-Zh9oZcIW83O9d5jpPNx5aHl_cNpTpZ6IVOs_l_dn8B6ulp8Q |
ContentType | Journal Article |
Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
DBID | 2B. 4A8 92I 93N PSX TCJ |
DatabaseName | Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
DatabaseTitleList | |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Agriculture |
EndPage | 903 |
ExternalDocumentID | zgnykx_e201404025 |
GroupedDBID | --M -04 -0D -SD -S~ .~1 0R~ 1B1 1~. 1~5 2B. 2B~ 4.4 457 4A8 4G. 5VR 7-5 8P~ 92G 92I 92M 93N 93Q 9D9 9DD AABNK AACTN AAEDT AAEDW AAHBH AAIKJ AAKOC AALRI AAOAW AATLK AAXDM AAXKI AAXUO ABGRD ABMAC ABXDB ACDAQ ACGFS ACRLP ADEZE ADMUD ADQTV ADVLN AEBSH AEKER AENEX AEQOU AFJKZ AFKWA AFTJW AFUIB AFXIZ AGHFR AGUBO AGYEJ AIEXJ AIKHN AITUG AJOXV AKRWK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AXJTR BKOJK BLXMC CAJED CCEZO CHDYS EBS EFJIC EJD FA0 FDB FIRID FNPLU FYGXN GBLVA GROUPED_DOAJ HZ~ JUIAU KOM M41 MO0 NCXOZ O-L O9- OAUVE OK1 P-8 P-9 PC. PSX Q-- Q-3 Q38 R-D RIG ROL RT4 SDF SDG SES SSA SSZ T5K T8T TCJ TGD U1F U1G U5D U5N ~G- |
ID | FETCH-wanfang_journals_zgnykx_e2014040253 |
ISSN | 2095-3119 |
IngestDate | Wed Nov 06 04:32:44 EST 2024 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 4 |
Keywords | net primary productivity (NPP) improved CSCS southern China grasslands classes and types hydro-thermal pattern |
Language | English |
LinkModel | OpenURL |
MergedId | FETCHMERGED-wanfang_journals_zgnykx_e2014040253 |
ParticipantIDs | wanfang_journals_zgnykx_e201404025 |
PublicationCentury | 2000 |
PublicationDate | 2014 |
PublicationDateYYYYMMDD | 2014-01-01 |
PublicationDate_xml | – year: 2014 text: 2014 |
PublicationDecade | 2010 |
PublicationTitle | 农业科学学报(英文版) |
PublicationTitle_FL | Journal of Integrative Agriculture |
PublicationYear | 2014 |
Publisher | College of Animal Sciences and Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China%School of Life Science, Nanjing University, Nanjing 210093, P.R.China%International Institute for Earth System Science, Nanjing University, Nanjing 210093, P.R.China |
Publisher_xml | – name: College of Animal Sciences and Technology, Nanjing Agricultural University, Nanjing 210095, P.R.China%School of Life Science, Nanjing University, Nanjing 210093, P.R.China%International Institute for Earth System Science, Nanjing University, Nanjing 210093, P.R.China |
SSID | ssj0001550068 |
Score | 3.9545121 |
Snippet | This research classiifed vegetation types and evaluated net primary productivity (NPP) of southern China’s grasslands based on the improved comprehensive and... |
SourceID | wanfang |
SourceType | Aggregation Database |
StartPage | 893 |
Title | Classification and Net Primary Productivity of the Southern China’s Grasslands Ecosystem Based on Improved Comprehensive and Sequential Classiifcation System (CSCS) Approach |
URI | https://d.wanfangdata.com.cn/periodical/zgnykx-e201404025 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3NjtMwELaWPcEB8StYFmQhLLGqUqVJm9jHNGSpkCgruhUrLqukjUuBTaX-HNgD4jV4Ch6IG0_CjO3ELiBY4FKltmMn-fRlJp_HY0IeTUIZgaXJvUDKwusKLr08jKaeiP1JKePIj3PUIZ8Po8G4--ykd7Jz6asTtbRZF-3J-S_XlfwLqlAGuOIq2b9AtukUCuAY8IVfQBh-L4Sx2tESY300iqiBD8t168hkkDjS2Vz19hAmFkBtmYe7n6mNs-tQB7FqPV1CX2rhLy5W1gmeW32wcVOcT9DaA6rB8P5Ylm9M2LuK-1TB2GtU3vX1zKW5Hp0NXc0Tj9IR6g-JyWDuusQs6zEeMZGyrMv6nImEZTFLYiY6WJU8YUnkHESMJyzpseyQ9VPGOcs4433W72CVgNoYT-dCVek2jdYxGg9br-HaZ95ss3ALU1V4VptxFNIHL8atV-W8iTBS_7CJq5N0rELqKDBJBc__ff3a1Emw7RSGsWlvlR41W9rcJzZGxm0CH8vgnypnv_2yrVELeiZ5Kk7wzGVZD-We95vewh9725aFbfwIhqBmOU7sGSj_ZxxrcgK4IbDKxojNXblH-0Z6N0vjKQk_tF5EE9t5Pqs-vAN6BipzE7jUmFkCTAfYmvbHjtU_4dPYVytVm0HVurlK5tXMcfGOr5Gr5tuMJppo18lOWd0gVyxG5U3yZZtyFKClQDlqKEddytGFpMA1WlOOqsfw7dPnFbVkow3ZqCIbhU5rstEtsqmxLNnoNtmoRog-Rqod0Jpot8jBYXacDjxzy6fmvbI6_ekBhrfJbrWoyjuE5kEkJn5RTGMhu0HB89AveE_mnEdgXEV-lzz8c397F2l0j1zGY6027pPd9XJT3gf_e108UEB-B0YO5HI |
link.rule.ids | 315,783,787,4031 |
linkProvider | Elsevier |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Classification+and+Net+Primary+Productivity+of+the+Southern+China%E2%80%99s+Grasslands+Ecosystem+Based+on+Improved+Comprehensive+and+Sequential+Classiifcation+System+%28CSCS%29+Approach&rft.jtitle=%E5%86%9C%E4%B8%9A%E7%A7%91%E5%AD%A6%E5%AD%A6%E6%8A%A5%EF%BC%88%E8%8B%B1%E6%96%87%E7%89%88%EF%BC%89&rft.au=SUN+Zheng-guo&rft.au=SUN+Cheng-ming&rft.au=ZHOU+Wei&rft.au=JU+Wei-min&rft.date=2014&rft.pub=College+of+Animal+Sciences+and+Technology%2C+Nanjing+Agricultural+University%2C+Nanjing+210095%2C+P.R.China%25School+of+Life+Science%2C+Nanjing+University%2C+Nanjing+210093%2C+P.R.China%25International+Institute+for+Earth+System+Science%2C+Nanjing+University%2C+Nanjing+210093%2C+P.R.China&rft.issn=2095-3119&rft.issue=4&rft.spage=893&rft.epage=903&rft.externalDocID=zgnykx_e201404025 |
thumbnail_s | http://utb.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fzgnykx-e%2Fzgnykx-e.jpg |