Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China
Recent increases in atmospheric carbon dioxide (CO2) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient availability constrains the increasing plant photosynthesis more intensively. Nitrogen (N) and phosphorus (P) are critical for plant physiological acti...
Saved in:
Published in | Earth system science data Vol. 13; no. 11; pp. 5337 - 5351 |
---|---|
Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Katlenburg-Lindau
Copernicus GmbH
17.11.2021
Copernicus Publications |
Subjects | |
Online Access | Get full text |
ISSN | 1866-3516 1866-3508 1866-3516 |
DOI | 10.5194/essd-13-5337-2021 |
Cover
Abstract | Recent increases in atmospheric carbon dioxide (CO2) and temperature
relieve their limitations on terrestrial ecosystem productivity, while
nutrient availability constrains the increasing plant photosynthesis more
intensively. Nitrogen (N) and phosphorus (P) are critical for plant
physiological activities and consequently regulate ecosystem productivity.
Here, for the first time, we mapped N and P densities and concentrations of
leaves, woody stems, roots, litter, and soil in forest, shrubland, and
grassland ecosystems across China based on an intensive investigation at
4868 sites, covering species composition, biomass, and nutrient
concentrations of different tissues of living plants, litter, and soil.
Forest, shrubland, and grassland ecosystems in China stored 6803.6 Tg N, with 6635.2 Tg N (97.5 %) fixed in soil (to a depth of 1 m) and
27.7 (0.4 %), 57.8 (0.8 %), 71.2 (1 %), and 11.7 Tg N (0.2 %) in leaves, stems, roots, and litter, respectively. The forest,
shrubland, and grassland ecosystems in China stored 2806.0 Tg P, with
2786.1 Tg P (99.3 %) fixed in soil (to a depth of 1 m) and 2.7 (0.1 %), 9.4 (0.3 %), 6.7 (0.2 %), and 1.0 Tg P (<
0.1 %) in leaves, stems, roots, and litter, respectively. Our estimation
showed that N pools were low in northern China, except in the Changbai Mountains,
Mount Tianshan, and Mount Alta, while relatively higher values existed in
the eastern Qinghai–Tibetan Plateau and Yunnan. P densities in vegetation were
higher towards the southern and north-eastern part of China, while soil P density
was higher towards the northern and western part of China. The estimated N and P
density and concentration datasets, “Patterns of nitrogen and phosphorus
pools in terrestrial ecosystems in China”
(https://doi.org/10.5061/dryad.6hdr7sqzx), are available from the Dryad
digital repository (Zhang et al., 2021). These patterns of N and P densities
could potentially improve existing earth system models and large-scale
research on ecosystem nutrients. |
---|---|
AbstractList | Recent increases in atmospheric carbon dioxide (CO2) and temperature
relieve their limitations on terrestrial ecosystem productivity, while
nutrient availability constrains the increasing plant photosynthesis more
intensively. Nitrogen (N) and phosphorus (P) are critical for plant
physiological activities and consequently regulate ecosystem productivity.
Here, for the first time, we mapped N and P densities and concentrations of
leaves, woody stems, roots, litter, and soil in forest, shrubland, and
grassland ecosystems across China based on an intensive investigation at
4868 sites, covering species composition, biomass, and nutrient
concentrations of different tissues of living plants, litter, and soil.
Forest, shrubland, and grassland ecosystems in China stored 6803.6 Tg N, with 6635.2 Tg N (97.5 %) fixed in soil (to a depth of 1 m) and
27.7 (0.4 %), 57.8 (0.8 %), 71.2 (1 %), and 11.7 Tg N (0.2 %) in leaves, stems, roots, and litter, respectively. The forest,
shrubland, and grassland ecosystems in China stored 2806.0 Tg P, with
2786.1 Tg P (99.3 %) fixed in soil (to a depth of 1 m) and 2.7 (0.1 %), 9.4 (0.3 %), 6.7 (0.2 %), and 1.0 Tg P (<
0.1 %) in leaves, stems, roots, and litter, respectively. Our estimation
showed that N pools were low in northern China, except in the Changbai Mountains,
Mount Tianshan, and Mount Alta, while relatively higher values existed in
the eastern Qinghai–Tibetan Plateau and Yunnan. P densities in vegetation were
higher towards the southern and north-eastern part of China, while soil P density
was higher towards the northern and western part of China. The estimated N and P
density and concentration datasets, “Patterns of nitrogen and phosphorus
pools in terrestrial ecosystems in China”
(https://doi.org/10.5061/dryad.6hdr7sqzx), are available from the Dryad
digital repository (Zhang et al., 2021). These patterns of N and P densities
could potentially improve existing earth system models and large-scale
research on ecosystem nutrients. Recent increases in atmospheric carbon dioxide (CO2) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient availability constrains the increasing plant photosynthesis more intensively. Nitrogen (N) and phosphorus (P) are critical for plant physiological activities and consequently regulate ecosystem productivity. Here, for the first time, we mapped N and P densities and concentrations of leaves, woody stems, roots, litter, and soil in forest, shrubland, and grassland ecosystems across China based on an intensive investigation at 4868 sites, covering species composition, biomass, and nutrient concentrations of different tissues of living plants, litter, and soil. Forest, shrubland, and grassland ecosystems in China stored 6803.6 Tg N, with 6635.2 Tg N (97.5 %) fixed in soil (to a depth of 1 m) and 27.7 (0.4 %), 57.8 (0.8 %), 71.2 (1 %), and 11.7 Tg N (0.2 %) in leaves, stems, roots, and litter, respectively. The forest, shrubland, and grassland ecosystems in China stored 2806.0 Tg P, with 2786.1 Tg P (99.3 %) fixed in soil (to a depth of 1 m) and 2.7 (0.1 %), 9.4 (0.3 %), 6.7 (0.2 %), and 1.0 Tg P (< 0.1 %) in leaves, stems, roots, and litter, respectively. Our estimation showed that N pools were low in northern China, except in the Changbai Mountains, Mount Tianshan, and Mount Alta, while relatively higher values existed in the eastern Qinghai–Tibetan Plateau and Yunnan. P densities in vegetation were higher towards the southern and north-eastern part of China, while soil P density was higher towards the northern and western part of China. The estimated N and P density and concentration datasets, “Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China” (10.5061/dryad.6hdr7sqzx), are available from the Dryad digital repository (Zhang et al., 2021). These patterns of N and P densities could potentially improve existing earth system models and large-scale research on ecosystem nutrients. Recent increases in atmospheric carbon dioxide (CO.sub.2) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient availability constrains the increasing plant photosynthesis more intensively. Nitrogen (N) and phosphorus (P) are critical for plant physiological activities and consequently regulate ecosystem productivity. Here, for the first time, we mapped N and P densities and concentrations of leaves, woody stems, roots, litter, and soil in forest, shrubland, and grassland ecosystems across China based on an intensive investigation at 4868 sites, covering species composition, biomass, and nutrient concentrations of different tissues of living plants, litter, and soil. Forest, shrubland, and grassland ecosystems in China stored 6803.6 Tg N, with 6635.2 Tg N (97.5 %) fixed in soil (to a depth of 1 m) and 27.7 (0.4 %), 57.8 (0.8 %), 71.2 (1 %), and 11.7 Tg N (0.2 %) in leaves, stems, roots, and litter, respectively. The forest, shrubland, and grassland ecosystems in China stored 2806.0 Tg P, with 2786.1 Tg P (99.3 %) fixed in soil (to a depth of 1 m) and 2.7 (0.1 %), 9.4 (0.3 %), 6.7 (0.2 %), and 1.0 Tg P ( 0.1 %) in leaves, stems, roots, and litter, respectively. Our estimation showed that N pools were low in northern China, except in the Changbai Mountains, Mount Tianshan, and Mount Alta, while relatively higher values existed in the eastern Qinghai-Tibetan Plateau and Yunnan. P densities in vegetation were higher towards the southern and north-eastern part of China, while soil P density was higher towards the northern and western part of China. The estimated N and P density and concentration datasets, "Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China" ( Recent increases in atmospheric carbon dioxide ( CO2 ) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient availability constrains the increasing plant photosynthesis more intensively. Nitrogen (N) and phosphorus (P) are critical for plant physiological activities and consequently regulate ecosystem productivity. Here, for the first time, we mapped N and P densities and concentrations of leaves, woody stems, roots, litter, and soil in forest, shrubland, and grassland ecosystems across China based on an intensive investigation at 4868 sites, covering species composition, biomass, and nutrient concentrations of different tissues of living plants, litter, and soil. Forest, shrubland, and grassland ecosystems in China stored 6803.6 Tg N, with 6635.2 Tg N (97.5 %) fixed in soil (to a depth of 1 m) and 27.7 (0.4 %), 57.8 (0.8 %), 71.2 (1 %), and 11.7 Tg N (0.2 %) in leaves, stems, roots, and litter, respectively. The forest, shrubland, and grassland ecosystems in China stored 2806.0 Tg P, with 2786.1 Tg P (99.3 %) fixed in soil (to a depth of 1 m) and 2.7 (0.1 %), 9.4 (0.3 %), 6.7 (0.2 %), and 1.0 Tg P ( < 0.1 %) in leaves, stems, roots, and litter, respectively. Our estimation showed that N pools were low in northern China, except in the Changbai Mountains, Mount Tianshan, and Mount Alta, while relatively higher values existed in the eastern Qinghai–Tibetan Plateau and Yunnan. P densities in vegetation were higher towards the southern and north-eastern part of China, while soil P density was higher towards the northern and western part of China. The estimated N and P density and concentration datasets, “Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China” ( https://doi.org/10.5061/dryad.6hdr7sqzx ), are available from the Dryad digital repository (Zhang et al., 2021). These patterns of N and P densities could potentially improve existing earth system models and large-scale research on ecosystem nutrients. |
Audience | Academic |
Author | Zhu, Xinrong Bai, Yongfei Feng, Yuhao Fang, Jingyun Tang, Zhiyao Xie, Zongqiang Zhou, Guoyi Zhang, Yi-Wei Guo, Yanpei Xu, Wenting |
Author_xml | – sequence: 1 givenname: Yi-Wei surname: Zhang fullname: Zhang, Yi-Wei – sequence: 2 givenname: Yanpei orcidid: 0000-0001-7724-0473 surname: Guo fullname: Guo, Yanpei – sequence: 3 givenname: Zhiyao surname: Tang fullname: Tang, Zhiyao – sequence: 4 givenname: Yuhao surname: Feng fullname: Feng, Yuhao – sequence: 5 givenname: Xinrong surname: Zhu fullname: Zhu, Xinrong – sequence: 6 givenname: Wenting surname: Xu fullname: Xu, Wenting – sequence: 7 givenname: Yongfei surname: Bai fullname: Bai, Yongfei – sequence: 8 givenname: Guoyi surname: Zhou fullname: Zhou, Guoyi – sequence: 9 givenname: Zongqiang orcidid: 0000-0001-8312-2318 surname: Xie fullname: Xie, Zongqiang – sequence: 10 givenname: Jingyun surname: Fang fullname: Fang, Jingyun |
BookMark | eNp1kktrGzEUhUVJoUnaH9DdQFddTKqrx4xmGUwfBkNLHmuh0Vw5MmPJlWRo_n3kuKV1aRFC4uo7R69zQc5CDEjIW6BXEgbxAXOeWuCt5LxvGWXwgpyD6rqWS-jO_pi_Ihc5byjtBPTynKy-mVIwhdxE1wRfUlxjaEyYmt1DzLWnfW52Mc658aGpZMJckjdzgzbmx1xw-7yyePDBvCYvnZkzvvk5XpL7Tx_vFl_a1dfPy8X1qrVC8dLiqFABsq4T0o3MUe5Gi8oOykkAahQ4TnvOhegnBpQ6KxwTdKwLw8h7yS_J8ug7RbPRu-S3Jj3qaLx-LsS01iYVb2fUwLgaLJVscpNAPhgUdUeBvRskjHKsXu-OXrsUv-_r5fQm7lOox9dMDopyyvjwm1qbauqDiyUZu_XZ6utOMdX3nYRKXf2Dqm3Crbf1w5yv9RPB-xNBZQr-KGuzz1kvb29O2f7I2hRzTui09cUUXyXJ-FkD1Yck6EMSNHB9SII-JKEq4S_lryf7v-YJMju20g |
CitedBy_id | crossref_primary_10_1016_j_ecolind_2022_109484 crossref_primary_10_1016_j_ecolind_2023_110055 crossref_primary_10_2139_ssrn_4102875 crossref_primary_10_1016_j_scitotenv_2024_173766 crossref_primary_10_1016_j_envres_2023_117987 crossref_primary_10_1016_j_scitotenv_2024_175543 crossref_primary_10_48130_seedbio_0024_0020 crossref_primary_10_1093_nsr_nwae371 crossref_primary_10_1016_j_jclepro_2023_140360 crossref_primary_10_1016_j_scitotenv_2022_160743 crossref_primary_10_3390_plants13050674 crossref_primary_10_1007_s00374_022_01679_0 crossref_primary_10_1016_j_scitotenv_2023_167848 crossref_primary_10_1007_s11104_024_06791_8 crossref_primary_10_3390_plants12152843 crossref_primary_10_5194_essd_13_5831_2021 crossref_primary_10_1016_j_agrformet_2022_109165 crossref_primary_10_11922_11_6035_csd_2023_0147_zh crossref_primary_10_12677_BR_2022_112017 crossref_primary_10_1016_j_scitotenv_2023_167488 crossref_primary_10_1016_j_scitotenv_2024_170868 crossref_primary_10_1016_j_rse_2024_114276 crossref_primary_10_1029_2022JG007051 crossref_primary_10_1007_s42729_023_01390_5 crossref_primary_10_1007_s11356_023_30555_z crossref_primary_10_3390_plants13050727 crossref_primary_10_5194_bg_20_4147_2023 crossref_primary_10_1007_s00374_024_01853_6 crossref_primary_10_3390_plants11162171 crossref_primary_10_1016_j_ecolind_2022_109636 crossref_primary_10_3390_f15091518 crossref_primary_10_1016_j_pedsph_2024_06_012 crossref_primary_10_3390_f13122002 crossref_primary_10_3390_f14010021 crossref_primary_10_1016_j_scitotenv_2022_157277 crossref_primary_10_1007_s11629_024_8907_2 crossref_primary_10_5194_essd_15_4599_2023 crossref_primary_10_3390_f13060890 crossref_primary_10_1016_j_scitotenv_2023_167233 crossref_primary_10_11922_11_6035_csd_2023_0064_zh crossref_primary_10_1016_j_scitotenv_2024_173922 crossref_primary_10_1016_j_catena_2023_107302 |
Cites_doi | 10.1111/j.1461-0248.2007.01113.x 10.1038/s41467-020-14492-w 10.1038/ngeo721 10.1007/BF00002772 10.1016/0012-8252(95)00049-6 10.1890/14-2098.1 10.1029/2004GB002296 10.1038/s41561-019-0404-9 10.1029/2011GB004252 10.1073/pnas.0706518104 10.2136/sssaj2009.0009 10.1073/pnas.0403588101 10.1086/283931 10.1111/j.1469-8137.2010.03214.x 10.1111/nph.15451 10.1016/S0378-1127(99)00207-8 10.1890/08-0127.1 10.1002/ece3.3630 10.1007/BF00000889 10.1038/s41558-019-0545-2 10.1016/0016-7061(76)90066-5 10.1002/jame.20026 10.1016/j.scitotenv.2019.136201 10.1038/s41893-019-0220-7 10.1371/journal.pone.0092942 10.1111/j.1469-8137.2006.01851.x 10.1007/BF00379710 10.1073/pnas.1700294115 10.1093/treephys/tpx038 10.1046/j.1365-2486.2001.00383.x 10.1073/pnas.1302768110 10.1111/j.1365-3040.2004.01181.x 10.1093/forestry/54.2.157 10.1002/2016EF000472 10.1073/pnas.1700295114 10.1111/1365-2435.12979 10.1890/06-2057.1 10.1007/BF00195729 10.1046/j.0269-8463.2004.00805.x 10.1023/A:1026563926187 10.1201/9781420025293 10.1016/S1002-0160(07)60093-9 10.1126/science.1091390 10.1016/S0065-2113(08)60845-7 10.1016/j.jhydrol.2007.02.018 10.1016/j.rse.2009.08.010 10.1890/07-1739.1 10.1038/nplants.2016.24 10.1016/j.biombioe.2011.08.005 10.1139/x87-165 10.1641/0006-3568(2004)054[0731:PNLOER]2.0.CO;2 10.1038/s41561-019-0530-4 10.1111/nph.13521 10.1002/2016MS000686 10.1038/ngeo2516 10.1073/pnas.1006463107 10.1016/j.rse.2018.11.016 10.1016/S0378-1127(02)00234-7 10.1029/2006GB002868 10.1073/pnas.0701424104 10.1007/s11104-017-3234-9 10.1046/j.1461-0248.2003.00518.x 10.1038/ngeo2413 10.1111/gcb.13691 10.5194/essd-10-405-2018 10.5194/essd-2020-398 10.1073/pnas.1700291115 10.1038/s41477-019-0549-y 10.1007/BF00333319 10.1007/s10533-009-9382-0 |
ContentType | Journal Article |
Copyright | COPYRIGHT 2021 Copernicus GmbH 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
Copyright_xml | – notice: COPYRIGHT 2021 Copernicus GmbH – notice: 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
DBID | AAYXX CITATION ISR 7SN 7TG 7TN 7UA 8FD 8FE 8FG ABJCF ABUWG AEUYN AFKRA AZQEC BENPR BFMQW BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W H8D H96 HCIFZ KL. L.G L6V L7M M7S PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PTHSS DOA |
DOI | 10.5194/essd-13-5337-2021 |
DatabaseName | CrossRef Gale In Context: Science Ecology Abstracts Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Water Resources Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials - QC ProQuest Central Continental Europe Database Technology Collection Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central ASFA: Aquatic Sciences and Fisheries Abstracts Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Engineering Collection Advanced Technologies Database with Aerospace Engineering Database Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition Engineering collection DOAJ Directory of Open Access Journals |
DatabaseTitle | CrossRef Publicly Available Content Database Aquatic Science & Fisheries Abstracts (ASFA) Professional Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Water Resources Abstracts Environmental Sciences and Pollution Management Earth, Atmospheric & Aquatic Science Collection ProQuest Central ProQuest One Applied & Life Sciences Aerospace Database ProQuest One Sustainability ProQuest Engineering Collection Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Natural Science Collection ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace Engineering Collection Engineering Database ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Continental Europe Database ProQuest SciTech Collection Ecology Abstracts Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Materials Science & Engineering Collection ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) |
DatabaseTitleList | CrossRef Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Geology |
EISSN | 1866-3516 |
EndPage | 5351 |
ExternalDocumentID | oai_doaj_org_article_12389c052dfd4e39ae4b2f4e7f951b5b A682877651 10_5194_essd_13_5337_2021 |
GeographicLocations | China |
GeographicLocations_xml | – name: China |
GroupedDBID | 5VS 8FE 8FG 8FH 8R4 8R5 AAFWJ AAYXX ABDBF ABJCF ABUWG ACIWK ACPRK ACUHS ADBBV AEGXH AENEX AEUYN AFKRA AFPKN AFRAH AHGZY ALMA_UNASSIGNED_HOLDINGS BCNDV BENPR BFMQW BGLVJ BHPHI BKSAR BPHCQ CCPQU CITATION ESX GROUPED_DOAJ H13 HCIFZ IAO IEA IGS ISR ITC KQ8 L6V LK5 M7R M7S OK1 PCBAR PHGZM PHGZT PIMPY PQQKQ PROAC PTHSS Q2X RKB RNS TR2 TUS ZBA BBORY PQGLB 7SN 7TG 7TN 7UA 8FD AZQEC C1K DWQXO F1W H8D H96 KL. L.G L7M PKEHL PQEST PQUKI PUEGO |
ID | FETCH-LOGICAL-c483t-eb8e81e26645fb2f03fbce8c98f5110a81f30733447d2100fc4f240ba819b3753 |
IEDL.DBID | 8FG |
ISSN | 1866-3516 1866-3508 |
IngestDate | Wed Aug 27 01:29:22 EDT 2025 Fri Jul 25 19:01:12 EDT 2025 Tue Jun 17 22:04:25 EDT 2025 Thu Jul 17 05:59:30 EDT 2025 Fri Jun 27 05:25:22 EDT 2025 Tue Jul 01 02:14:37 EDT 2025 Thu Apr 24 23:05:36 EDT 2025 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 11 |
Language | English |
License | https://creativecommons.org/licenses/by/4.0 |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c483t-eb8e81e26645fb2f03fbce8c98f5110a81f30733447d2100fc4f240ba819b3753 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ORCID | 0000-0001-7724-0473 0000-0001-8312-2318 |
OpenAccessLink | https://www.proquest.com/docview/2598030239?pq-origsite=%requestingapplication% |
PQID | 2598030239 |
PQPubID | 105729 |
PageCount | 15 |
ParticipantIDs | doaj_primary_oai_doaj_org_article_12389c052dfd4e39ae4b2f4e7f951b5b proquest_journals_2598030239 gale_infotracmisc_A682877651 gale_infotracacademiconefile_A682877651 gale_incontextgauss_ISR_A682877651 crossref_citationtrail_10_5194_essd_13_5337_2021 crossref_primary_10_5194_essd_13_5337_2021 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2021-11-17 |
PublicationDateYYYYMMDD | 2021-11-17 |
PublicationDate_xml | – month: 11 year: 2021 text: 2021-11-17 day: 17 |
PublicationDecade | 2020 |
PublicationPlace | Katlenburg-Lindau |
PublicationPlace_xml | – name: Katlenburg-Lindau |
PublicationTitle | Earth system science data |
PublicationYear | 2021 |
Publisher | Copernicus GmbH Copernicus Publications |
Publisher_xml | – name: Copernicus GmbH – name: Copernicus Publications |
References | ref13 ref57 ref12 ref56 ref15 ref59 ref14 ref58 ref53 ref52 ref11 ref55 ref10 ref54 ref17 ref16 ref19 ref18 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref40 ref35 ref34 ref37 ref36 ref31 ref30 ref74 ref33 ref32 ref2 ref1 ref39 ref38 ref71 ref70 ref73 ref72 ref24 ref68 ref23 ref67 ref26 ref25 ref69 ref20 ref64 ref63 ref22 ref66 ref21 ref65 ref28 ref27 ref29 ref60 ref62 ref61 |
References_xml | – ident: ref15 doi: 10.1111/j.1461-0248.2007.01113.x – ident: ref25 doi: 10.1038/s41467-020-14492-w – ident: ref60 doi: 10.1038/ngeo721 – ident: ref65 doi: 10.1007/BF00002772 – ident: ref24 doi: 10.1016/0012-8252(95)00049-6 – ident: ref54 doi: 10.1890/14-2098.1 – ident: ref72 doi: 10.1029/2004GB002296 – ident: ref23 doi: 10.1038/s41561-019-0404-9 – ident: ref22 doi: 10.1029/2011GB004252 – ident: ref21 doi: 10.1073/pnas.0706518104 – ident: ref1 doi: 10.2136/sssaj2009.0009 – ident: ref51 doi: 10.1073/pnas.0403588101 – ident: ref64 doi: 10.1086/283931 – ident: ref36 – ident: ref16 doi: 10.1111/j.1469-8137.2010.03214.x – ident: ref18 doi: 10.1111/nph.15451 – ident: ref41 doi: 10.1016/S0378-1127(99)00207-8 – ident: ref66 doi: 10.1890/08-0127.1 – ident: ref17 doi: 10.1002/ece3.3630 – ident: ref3 doi: 10.1007/BF00000889 – ident: ref59 doi: 10.1038/s41558-019-0545-2 – ident: ref67 doi: 10.1016/0016-7061(76)90066-5 – ident: ref26 – ident: ref52 doi: 10.1002/jame.20026 – ident: ref70 doi: 10.1016/j.scitotenv.2019.136201 – ident: ref9 doi: 10.1038/s41893-019-0220-7 – ident: ref63 doi: 10.1371/journal.pone.0092942 – ident: ref38 doi: 10.1111/j.1469-8137.2006.01851.x – ident: ref20 doi: 10.1007/BF00379710 – ident: ref39 doi: 10.1073/pnas.1700294115 – ident: ref6 doi: 10.1093/treephys/tpx038 – ident: ref11 doi: 10.1046/j.1365-2486.2001.00383.x – ident: ref10 doi: 10.1073/pnas.1302768110 – ident: ref33 – ident: ref8 doi: 10.1111/j.1365-3040.2004.01181.x – ident: ref43 doi: 10.1093/forestry/54.2.157 – ident: ref56 doi: 10.1002/2016EF000472 – ident: ref58 doi: 10.1073/pnas.1700295114 – ident: ref73 doi: 10.1111/1365-2435.12979 – ident: ref34 doi: 10.1890/06-2057.1 – ident: ref7 doi: 10.1007/BF00195729 – ident: ref37 doi: 10.1046/j.0269-8463.2004.00805.x – ident: ref45 doi: 10.1023/A:1026563926187 – ident: ref29 doi: 10.1201/9781420025293 – ident: ref71 doi: 10.1016/S1002-0160(07)60093-9 – ident: ref27 doi: 10.1126/science.1091390 – ident: ref5 doi: 10.1016/S0065-2113(08)60845-7 – ident: ref42 doi: 10.1016/j.jhydrol.2007.02.018 – ident: ref55 doi: 10.1016/j.rse.2009.08.010 – ident: ref46 doi: 10.1890/07-1739.1 – ident: ref28 doi: 10.1038/nplants.2016.24 – ident: ref47 doi: 10.1016/j.biombioe.2011.08.005 – ident: ref30 doi: 10.1139/x87-165 – ident: ref40 doi: 10.1641/0006-3568(2004)054[0731:PNLOER]2.0.CO;2 – ident: ref13 doi: 10.1038/s41561-019-0530-4 – ident: ref50 doi: 10.1111/nph.13521 – ident: ref53 doi: 10.1002/2016MS000686 – ident: ref12 doi: 10.1038/ngeo2516 – ident: ref44 doi: 10.1073/pnas.1006463107 – ident: ref68 doi: 10.1016/j.rse.2018.11.016 – ident: ref4 doi: 10.1016/S0378-1127(02)00234-7 – ident: ref49 – ident: ref61 doi: 10.1029/2006GB002868 – ident: ref31 doi: 10.1073/pnas.0701424104 – ident: ref32 doi: 10.1007/s11104-017-3234-9 – ident: ref14 doi: 10.1046/j.1461-0248.2003.00518.x – ident: ref69 doi: 10.1038/ngeo2413 – ident: ref2 doi: 10.1111/gcb.13691 – ident: ref35 doi: 10.5194/essd-10-405-2018 – ident: ref74 doi: 10.5194/essd-2020-398 – ident: ref57 doi: 10.1073/pnas.1700291115 – ident: ref19 doi: 10.1038/s41477-019-0549-y – ident: ref48 doi: 10.1007/BF00333319 – ident: ref62 doi: 10.1007/s10533-009-9382-0 |
SSID | ssj0064175 |
Score | 2.4533615 |
Snippet | Recent increases in atmospheric carbon dioxide (CO2) and temperature
relieve their limitations on terrestrial ecosystem productivity, while
nutrient... Recent increases in atmospheric carbon dioxide (CO.sub.2) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient... Recent increases in atmospheric carbon dioxide (CO2) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient... Recent increases in atmospheric carbon dioxide ( CO2 ) and temperature relieve their limitations on terrestrial ecosystem productivity, while nutrient... |
SourceID | doaj proquest gale crossref |
SourceType | Open Website Aggregation Database Enrichment Source Index Database |
StartPage | 5337 |
SubjectTerms | Analysis Atmospheric carbon dioxide Atmospheric models Biomass Carbon dioxide Carbon dioxide atmospheric concentrations Community composition Ecosystems Environment models Environmental aspects Flowers & plants Forest ecosystems Forests Grasslands Herbs Investigations Leaf litter Leaves Litter Mineral nutrients Mountains Nitrogen Nutrient availability Nutrient concentrations Nutrients Phosphorus Photosynthesis Physiological aspects Plant growth Plant photosynthesis Pools Productivity Roots Shrublands Soil Soil structure Soils Species composition Stems Terrestrial ecosystems Vegetation |
SummonAdditionalLinks | – databaseName: DOAJ Directory of Open Access Journals dbid: DOA link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1La9wwEBYhUMilpE1KN9kUEQqBgolkybZ03JRukxJCSLuQm7BebSHYy3r30H_fGdm71Ie2lxx8sca29Hk0DyR9Q8h7kQsbI4O0JOoikzHaDNIImRWiEhoctvMhsX3eldcL-eWxePyj1BfuCevpgXvgLsGyKu1YkfvoZRC6DtLmUYYK3s1tYdH6Ms22yVRvg0vJE8UusrllAmKQfj0TohV5CQbEZ1xAb0QFOpLzkUdKxP1_M8_J58wPycshWKSzvpOvyF5oXpMXn1Mx3l9H5PY-kWM2HW0jham5akEbaN14uvzRdnCtNh3FGlod_dlQkMQ6HKhwFHLOnsI5taQa2sdkMf_07eN1NlRHyJxUYp0Fq4LiARysLCJAwkS0LiinVYQgitWKR5y_yOjnIa9j0ckI7ttCg7YCspQ3ZL9pm_CWUCS9ipWva-Qr40wrHfLc44pm7UufFxPCtggZN1CHYwWLJwMpBIJqEFTDhUFQDYI6IR92jyx73ox_CV8h7DtBpLxON0ARzKAI5n-KMCHn-NMMklo0uGvme73pOnPz9cHMSqT1r8oCvnQxCMUWRuDq4RAC4IA8WCPJ6UgSZp0bN291wwyzvjOQSiqGVZj0yXOM6JQcIDp48pFXU7K_Xm3CGYRAa_suaftvk0f_gQ priority: 102 providerName: Directory of Open Access Journals |
Title | Patterns of nitrogen and phosphorus pools in terrestrial ecosystems in China |
URI | https://www.proquest.com/docview/2598030239 https://doaj.org/article/12389c052dfd4e39ae4b2f4e7f951b5b |
Volume | 13 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV3Na9swFBdby2CXsXYby9oFUQaDgahlybZ0GsnWtBujlG6F3oT11Q6GncbJYf_93lOUjhzaQwhEzzh6fp-S9fsR8kGUwsZYQFsSdcVkjJZBGyFZJRqhIWE7HxLa53l9diW_X1fXecFtyK9VbmJiCtS-d7hGfgxluiqQ4UZ_nt8xZI3C3dVMofGU7PISci2eFJ-dbiJxLXkC2kVMNyagElnvakLNIo8hjHjGBfwn0YCllHwrLyX4_oeCdMo8s5fkRS4Z6WT9jPfIk9Dtk2eniZL37yvy4yJBZHYD7SMFB130YBO07Tyd3_YDfBargSKT1kB_dxQkkY0DzY5C57kGck4jiUn7Nbmanfz6csYyRwJzUoklC1YFxQOkWVlFW8ZCROuCclpFKKWKVvGIXoy4fh66uyI6GSGJWxjQVkCv8obsdH0X3hKK0Fex8W2LqGW80EqHsvS4r9n62pfViBQbDRmXAcSRx-KPgUYClWpQqYYLg0o1qNQR-XR_yXyNnvGY8BTVfi-IwNfph35xY7IfGUi0SruiKn30MgjdBgmzlqEBU-O2siNyhA_NILRFh-_O3LSrYTDffl6aSY3g_k1dwZ0-ZqHYwwxcm48igB4QDWtL8nBLEnzPbQ9vbMNk3x_Mf0t99_jwAXmO88aTjbw5JDvLxSq8hxJnacfJjsdkdzL9Op3B9_Tk_OJynBYM_gE0tvp_ |
linkProvider | ProQuest |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1bb9MwFLamTgheEFdRGGAhEBKStSR2EudhQhtstKxU09ikvZn4NiZNSWlaof05fhvnuM5QH9jbHvpSn6rKl3ON4-8j5C3PuPY-gbHEVzkT3msGY4RgOS95BQXbWBfYPqfF6FR8PcvPNsif_iwMvlbZ58SQqG1r8Bn5NrTpMkGFm-rj7BdD1SjcXe0lNOoorWB3AsVYPNhx6K5-wwjX7Yw_w_1-l2UH-yefRiyqDDAjJF8wp6WTqYNCJXKvM59wr42TppIempGklqnHOEBmPAvzUeKN8FAGNSxUmpeoGgElYFPgA5QB2dzbnx4d97WgEGmg-kVWOcahF1rtq0LXJLYhkVmWckCFl-CrWbpWGYOAwP_KRKh9Bw_I_di00t2Vlz0kG655RO58CaLAV4_J5CiQdDYdbT2FFDFvwStp3Vg6-9l28JkvO4paXh29aChYoh4IOj6F2XdFJR1Wgpb3E3J6K_g9JYOmbdwzQpF8y5e2rpE3LU0qWbkss7izWtvCZvmQJD1CykQKc1TSuFQwyiCoCkFVKVcIqkJQh-TD9U9mK_6Om4z3EPZrQ6TeDl-083MVI1lBqZeVSfLMeiscr2on4KqFK8HZU53rIXmDN00huUaDb--c18uuU-Pvx2q3QHmBssjhn95HI9_CFZg6HoYAHJCPa81ya80Sot-sL_e-oWL26dS_WHl-8_Jrcnd08m2iJuPp4QtyDzHAc5ZpuUUGi_nSvYSGa6FfRa-m5MdtB9Jfx4M4-g |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1baxNBFB5Ki-KLeMXYqoMogrBkZ2f2Mg9FWtvY2BJCtdC3cefWCrKbZhOkf9Ff5TmT2Uoe7Fsf8pI5Iey357qz832EvOMZ196nMJZ4mSfCe53AGCGSnJdcQsE21gW2z0lxdCa-nufnG-RPfxYGX6vsc2JI1LY1-Ix8CG16laLCjRz6-FrE9GD0aXaVoIIU7rT2chp1lFmwu4FuLB7yOHbXv2Gc63bHB3Dv32fZ6PD756MkKg4kRlR8kThduYo5KFoi9zrzKffauMrIykNjktYV8xgTyJJnYVZKvREeSqKGBal5iQoSUA624DIlDIJb-4eT6WlfFwrBAu0vMswlHPqi1R4rdFBiCEnNJowDQrwEv83YWpUMYgL_KxmhDo4ekYexgaV7K497TDZc84Tc-xIEgq-fkpNpIOxsOtp6Culi3oKH0rqxdHbZdvCZLzuKul4d_dlQsERtEAwCCnPwilY6rARd72fk7E7we042m7ZxLwhFIi5f2rpGDjWWykq6LLO4y1rbwmb5gKQ9QspEOnNU1filYKxBUBWCqhhXCKpCUAfk481PZisuj9uM9xH2G0Ok4Q5ftPMLFaNaQdmvpEnzzHorHJe1E3DVwpXg-EznekDe4k1TSLTRoMte1MuuU-Nvp2qvQKmBssjhnz5EI9_CFZg6HowAHJCba81yZ80SMoFZX-59Q8VM1Kl_cfPy9uU35D4ElDoZT463yQOEAI9csnKHbC7mS_cKeq-Ffh2dmpIfdx1HfwG0PT0- |
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=Patterns+of+nitrogen+and+phosphorus+pools+in+terrestrial+ecosystems+in+China&rft.jtitle=Earth+system+science+data&rft.au=Yi-Wei%2C+Zhang&rft.au=Guo%2C+Yanpei&rft.au=Tang%2C+Zhiyao&rft.au=Feng%2C+Yuhao&rft.date=2021-11-17&rft.pub=Copernicus+GmbH&rft.issn=1866-3508&rft.eissn=1866-3516&rft.volume=13&rft.issue=11&rft.spage=5337&rft.epage=5351&rft_id=info:doi/10.5194%2Fessd-13-5337-2021&rft.externalDBID=HAS_PDF_LINK |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1866-3516&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1866-3516&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1866-3516&client=summon |