Phenological response to climate change in China: a meta‐analysis
The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic a...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ge, Quansheng [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2015 |
|---|
| Rechteinformationen: |
Nutzungsrecht: © 2014 John Wiley & Sons Ltd © 2014 John Wiley & Sons Ltd. |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Global change biology - Oxford [u.a.] : Blackwell Science, 1995, 21(2015), 1, Seite 265-274 |
|---|---|
| Übergeordnetes Werk: |
volume:21 ; year:2015 ; number:1 ; pages:265-274 |
| Links: |
|---|
| DOI / URN: |
10.1111/gcb.12648 |
|---|
| Katalog-ID: |
OLC1960030191 |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC1960030191 | ||
| 003 | DE-627 | ||
| 005 | 20230714152407.0 | ||
| 007 | tu | ||
| 008 | 160206s2015 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1111/gcb.12648 |2 doi | |
| 028 | 5 | 2 | |a PQ20160617 |
| 035 | |a (DE-627)OLC1960030191 | ||
| 035 | |a (DE-599)GBVOLC1960030191 | ||
| 035 | |a (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 | ||
| 035 | |a (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 570 |q DNB |
| 084 | |a BIODIV |2 fid | ||
| 100 | 1 | |a Ge, Quansheng |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Phenological response to climate change in China: a meta‐analysis |
| 264 | 1 | |c 2015 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). | ||
| 540 | |a Nutzungsrecht: © 2014 John Wiley & Sons Ltd | ||
| 540 | |a © 2014 John Wiley & Sons Ltd. | ||
| 650 | 4 | |a meta‐analysis | |
| 650 | 4 | |a phenology | |
| 650 | 4 | |a trend | |
| 650 | 4 | |a season | |
| 650 | 4 | |a China | |
| 650 | 4 | |a climate change | |
| 650 | 4 | |a Amphibians - physiology | |
| 650 | 4 | |a Birds - physiology | |
| 650 | 4 | |a Insects - physiology | |
| 650 | 4 | |a Acclimatization - physiology | |
| 650 | 4 | |a Phenology | |
| 650 | 4 | |a Plant ecology | |
| 650 | 4 | |a Meta-analysis | |
| 650 | 4 | |a Climate change | |
| 700 | 1 | |a Wang, Huanjiong |4 oth | |
| 700 | 1 | |a Rutishauser, This |4 oth | |
| 700 | 1 | |a Dai, Junhu |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Global change biology |d Oxford [u.a.] : Blackwell Science, 1995 |g 21(2015), 1, Seite 265-274 |w (DE-627)18815499X |w (DE-600)1281439-8 |w (DE-576)048525634 |x 1354-1013 |7 nnns |
| 773 | 1 | 8 | |g volume:21 |g year:2015 |g number:1 |g pages:265-274 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1111/gcb.12648 |3 Volltext |
| 856 | 4 | 2 | |u http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract |
| 856 | 4 | 2 | |u http://www.ncbi.nlm.nih.gov/pubmed/24895088 |
| 856 | 4 | 2 | |u http://search.proquest.com/docview/1636350581 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a FID-BIODIV | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OLC-FOR | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a SSG-OLC-DE-84 | ||
| 912 | |a SSG-OPC-GGO | ||
| 912 | |a GBV_ILN_601 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4219 | ||
| 951 | |a AR | ||
| 952 | |d 21 |j 2015 |e 1 |h 265-274 | ||
| author_variant |
q g qg |
|---|---|
| matchkey_str |
article:13541013:2015----::hnlgclepneolmtcagic |
| hierarchy_sort_str |
2015 |
| publishDate |
2015 |
| allfields |
10.1111/gcb.12648 doi PQ20160617 (DE-627)OLC1960030191 (DE-599)GBVOLC1960030191 (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana DE-627 ger DE-627 rakwb eng 570 DNB BIODIV fid Ge, Quansheng verfasserin aut Phenological response to climate change in China: a meta‐analysis 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). Nutzungsrecht: © 2014 John Wiley & Sons Ltd © 2014 John Wiley & Sons Ltd. meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change Wang, Huanjiong oth Rutishauser, This oth Dai, Junhu oth Enthalten in Global change biology Oxford [u.a.] : Blackwell Science, 1995 21(2015), 1, Seite 265-274 (DE-627)18815499X (DE-600)1281439-8 (DE-576)048525634 1354-1013 nnns volume:21 year:2015 number:1 pages:265-274 http://dx.doi.org/10.1111/gcb.12648 Volltext http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract http://www.ncbi.nlm.nih.gov/pubmed/24895088 http://search.proquest.com/docview/1636350581 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO GBV_ILN_601 GBV_ILN_4012 GBV_ILN_4219 AR 21 2015 1 265-274 |
| spelling |
10.1111/gcb.12648 doi PQ20160617 (DE-627)OLC1960030191 (DE-599)GBVOLC1960030191 (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana DE-627 ger DE-627 rakwb eng 570 DNB BIODIV fid Ge, Quansheng verfasserin aut Phenological response to climate change in China: a meta‐analysis 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). Nutzungsrecht: © 2014 John Wiley & Sons Ltd © 2014 John Wiley & Sons Ltd. meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change Wang, Huanjiong oth Rutishauser, This oth Dai, Junhu oth Enthalten in Global change biology Oxford [u.a.] : Blackwell Science, 1995 21(2015), 1, Seite 265-274 (DE-627)18815499X (DE-600)1281439-8 (DE-576)048525634 1354-1013 nnns volume:21 year:2015 number:1 pages:265-274 http://dx.doi.org/10.1111/gcb.12648 Volltext http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract http://www.ncbi.nlm.nih.gov/pubmed/24895088 http://search.proquest.com/docview/1636350581 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO GBV_ILN_601 GBV_ILN_4012 GBV_ILN_4219 AR 21 2015 1 265-274 |
| allfields_unstemmed |
10.1111/gcb.12648 doi PQ20160617 (DE-627)OLC1960030191 (DE-599)GBVOLC1960030191 (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana DE-627 ger DE-627 rakwb eng 570 DNB BIODIV fid Ge, Quansheng verfasserin aut Phenological response to climate change in China: a meta‐analysis 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). Nutzungsrecht: © 2014 John Wiley & Sons Ltd © 2014 John Wiley & Sons Ltd. meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change Wang, Huanjiong oth Rutishauser, This oth Dai, Junhu oth Enthalten in Global change biology Oxford [u.a.] : Blackwell Science, 1995 21(2015), 1, Seite 265-274 (DE-627)18815499X (DE-600)1281439-8 (DE-576)048525634 1354-1013 nnns volume:21 year:2015 number:1 pages:265-274 http://dx.doi.org/10.1111/gcb.12648 Volltext http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract http://www.ncbi.nlm.nih.gov/pubmed/24895088 http://search.proquest.com/docview/1636350581 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO GBV_ILN_601 GBV_ILN_4012 GBV_ILN_4219 AR 21 2015 1 265-274 |
| allfieldsGer |
10.1111/gcb.12648 doi PQ20160617 (DE-627)OLC1960030191 (DE-599)GBVOLC1960030191 (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana DE-627 ger DE-627 rakwb eng 570 DNB BIODIV fid Ge, Quansheng verfasserin aut Phenological response to climate change in China: a meta‐analysis 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). Nutzungsrecht: © 2014 John Wiley & Sons Ltd © 2014 John Wiley & Sons Ltd. meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change Wang, Huanjiong oth Rutishauser, This oth Dai, Junhu oth Enthalten in Global change biology Oxford [u.a.] : Blackwell Science, 1995 21(2015), 1, Seite 265-274 (DE-627)18815499X (DE-600)1281439-8 (DE-576)048525634 1354-1013 nnns volume:21 year:2015 number:1 pages:265-274 http://dx.doi.org/10.1111/gcb.12648 Volltext http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract http://www.ncbi.nlm.nih.gov/pubmed/24895088 http://search.proquest.com/docview/1636350581 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO GBV_ILN_601 GBV_ILN_4012 GBV_ILN_4219 AR 21 2015 1 265-274 |
| allfieldsSound |
10.1111/gcb.12648 doi PQ20160617 (DE-627)OLC1960030191 (DE-599)GBVOLC1960030191 (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana DE-627 ger DE-627 rakwb eng 570 DNB BIODIV fid Ge, Quansheng verfasserin aut Phenological response to climate change in China: a meta‐analysis 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). Nutzungsrecht: © 2014 John Wiley & Sons Ltd © 2014 John Wiley & Sons Ltd. meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change Wang, Huanjiong oth Rutishauser, This oth Dai, Junhu oth Enthalten in Global change biology Oxford [u.a.] : Blackwell Science, 1995 21(2015), 1, Seite 265-274 (DE-627)18815499X (DE-600)1281439-8 (DE-576)048525634 1354-1013 nnns volume:21 year:2015 number:1 pages:265-274 http://dx.doi.org/10.1111/gcb.12648 Volltext http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract http://www.ncbi.nlm.nih.gov/pubmed/24895088 http://search.proquest.com/docview/1636350581 GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO GBV_ILN_601 GBV_ILN_4012 GBV_ILN_4219 AR 21 2015 1 265-274 |
| language |
English |
| source |
Enthalten in Global change biology 21(2015), 1, Seite 265-274 volume:21 year:2015 number:1 pages:265-274 |
| sourceStr |
Enthalten in Global change biology 21(2015), 1, Seite 265-274 volume:21 year:2015 number:1 pages:265-274 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change |
| dewey-raw |
570 |
| isfreeaccess_bool |
false |
| container_title |
Global change biology |
| authorswithroles_txt_mv |
Ge, Quansheng @@aut@@ Wang, Huanjiong @@oth@@ Rutishauser, This @@oth@@ Dai, Junhu @@oth@@ |
| publishDateDaySort_date |
2015-01-01T00:00:00Z |
| hierarchy_top_id |
18815499X |
| dewey-sort |
3570 |
| id |
OLC1960030191 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1960030191</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714152407.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/gcb.12648</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1960030191</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1960030191</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ge, Quansheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Phenological response to climate change in China: a meta‐analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05).</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2014 John Wiley & Sons Ltd</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">© 2014 John Wiley & Sons Ltd.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">meta‐analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">phenology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">trend</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">season</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">China</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">climate change</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Amphibians - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Birds - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Insects - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acclimatization - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Phenology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plant ecology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meta-analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate change</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Huanjiong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rutishauser, This</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dai, Junhu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Global change biology</subfield><subfield code="d">Oxford [u.a.] : Blackwell Science, 1995</subfield><subfield code="g">21(2015), 1, Seite 265-274</subfield><subfield code="w">(DE-627)18815499X</subfield><subfield code="w">(DE-600)1281439-8</subfield><subfield code="w">(DE-576)048525634</subfield><subfield code="x">1354-1013</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:21</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:265-274</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1111/gcb.12648</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.ncbi.nlm.nih.gov/pubmed/24895088</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1636350581</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4219</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">21</subfield><subfield code="j">2015</subfield><subfield code="e">1</subfield><subfield code="h">265-274</subfield></datafield></record></collection>
|
| author |
Ge, Quansheng |
| spellingShingle |
Ge, Quansheng ddc 570 fid BIODIV misc meta‐analysis misc phenology misc trend misc season misc China misc climate change misc Amphibians - physiology misc Birds - physiology misc Insects - physiology misc Acclimatization - physiology misc Phenology misc Plant ecology misc Meta-analysis misc Climate change Phenological response to climate change in China: a meta‐analysis |
| authorStr |
Ge, Quansheng |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)18815499X |
| format |
Article |
| dewey-ones |
570 - Life sciences; biology |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
1354-1013 |
| topic_title |
570 DNB BIODIV fid Phenological response to climate change in China: a meta‐analysis meta‐analysis phenology trend season China climate change Amphibians - physiology Birds - physiology Insects - physiology Acclimatization - physiology Phenology Plant ecology Meta-analysis Climate change |
| topic |
ddc 570 fid BIODIV misc meta‐analysis misc phenology misc trend misc season misc China misc climate change misc Amphibians - physiology misc Birds - physiology misc Insects - physiology misc Acclimatization - physiology misc Phenology misc Plant ecology misc Meta-analysis misc Climate change |
| topic_unstemmed |
ddc 570 fid BIODIV misc meta‐analysis misc phenology misc trend misc season misc China misc climate change misc Amphibians - physiology misc Birds - physiology misc Insects - physiology misc Acclimatization - physiology misc Phenology misc Plant ecology misc Meta-analysis misc Climate change |
| topic_browse |
ddc 570 fid BIODIV misc meta‐analysis misc phenology misc trend misc season misc China misc climate change misc Amphibians - physiology misc Birds - physiology misc Insects - physiology misc Acclimatization - physiology misc Phenology misc Plant ecology misc Meta-analysis misc Climate change |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
h w hw t r tr j d jd |
| hierarchy_parent_title |
Global change biology |
| hierarchy_parent_id |
18815499X |
| dewey-tens |
570 - Life sciences; biology |
| hierarchy_top_title |
Global change biology |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)18815499X (DE-600)1281439-8 (DE-576)048525634 |
| title |
Phenological response to climate change in China: a meta‐analysis |
| ctrlnum |
(DE-627)OLC1960030191 (DE-599)GBVOLC1960030191 (PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30 (KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana |
| title_full |
Phenological response to climate change in China: a meta‐analysis |
| author_sort |
Ge, Quansheng |
| journal |
Global change biology |
| journalStr |
Global change biology |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science |
| recordtype |
marc |
| publishDateSort |
2015 |
| contenttype_str_mv |
txt |
| container_start_page |
265 |
| author_browse |
Ge, Quansheng |
| container_volume |
21 |
| class |
570 DNB BIODIV fid |
| format_se |
Aufsätze |
| author-letter |
Ge, Quansheng |
| doi_str_mv |
10.1111/gcb.12648 |
| dewey-full |
570 |
| title_sort |
phenological response to climate change in china: a meta‐analysis |
| title_auth |
Phenological response to climate change in China: a meta‐analysis |
| abstract |
The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). |
| abstractGer |
The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). |
| abstract_unstemmed |
The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05). |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-GEO SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 SSG-OPC-GGO GBV_ILN_601 GBV_ILN_4012 GBV_ILN_4219 |
| container_issue |
1 |
| title_short |
Phenological response to climate change in China: a meta‐analysis |
| url |
http://dx.doi.org/10.1111/gcb.12648 http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract http://www.ncbi.nlm.nih.gov/pubmed/24895088 http://search.proquest.com/docview/1636350581 |
| remote_bool |
false |
| author2 |
Wang, Huanjiong Rutishauser, This Dai, Junhu |
| author2Str |
Wang, Huanjiong Rutishauser, This Dai, Junhu |
| ppnlink |
18815499X |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth |
| doi_str |
10.1111/gcb.12648 |
| up_date |
2024-07-03T19:47:12.026Z |
| _version_ |
1803588502321889280 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC1960030191</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230714152407.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160206s2015 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/gcb.12648</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160617</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC1960030191</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC1960030191</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)c2378-d15859350d4f6e2ac743353eed6f8e95c7c4191b39e187b5da8160e9b1779cd30</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0265675220150000021000100265phenologicalresponsetoclimatechangeinchinaametaana</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">570</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">BIODIV</subfield><subfield code="2">fid</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ge, Quansheng</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Phenological response to climate change in China: a meta‐analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The change in the phenology of plants or animals reflects the response of living systems to climate change. Numerous studies have reported a consistent earlier spring phenophases in many parts of middle and high latitudes reflecting increasing temperatures with the exception of China. A systematic analysis of Chinese phenological response could complement the assessment of climate change impact for the whole Northern Hemisphere. Here, we analyze 1263 phenological time series (1960–2011, with 20+ years data) of 112 species extracted from 48 studies across 145 sites in China. Taxonomic groups include trees, shrubs, herbs, birds, amphibians and insects. Results demonstrate that 90.8% of the spring/summer phenophases time series show earlier trends and 69.0% of the autumn phenophases records show later trends. For spring/summer phenophases, the mean advance across all the taxonomic groups was 2.75 days decade −1 ranging between 2.11 and 6.11 days decade −1 for insects and amphibians, respectively. Herbs and amphibians show significantly stronger advancement than trees, shrubs and insect. The response of phenophases of different taxonomic groups in autumn is more complex: trees, shrubs, herbs and insects show a delay between 1.93 and 4.84 days decade −1 , while other groups reveal an advancement ranging from 1.10 to 2.11 days decade −1 . For woody plants (including trees and shrubs), the stronger shifts toward earlier spring/summer were detected from the data series starting from more recent decades (1980s–2000s). The geographic factors (latitude, longitude and altitude) could only explain 9% and 3% of the overall variance in spring/summer and autumn phenological trends, respectively. The rate of change in spring/summer phenophase of woody plants (1960s–2000s) generally matches measured local warming across 49 sites in China ( R = −0.33, P < 0.05).</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2014 John Wiley & Sons Ltd</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">© 2014 John Wiley & Sons Ltd.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">meta‐analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">phenology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">trend</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">season</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">China</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">climate change</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Amphibians - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Birds - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Insects - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acclimatization - physiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Phenology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Plant ecology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Meta-analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Climate change</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Huanjiong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Rutishauser, This</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dai, Junhu</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Global change biology</subfield><subfield code="d">Oxford [u.a.] : Blackwell Science, 1995</subfield><subfield code="g">21(2015), 1, Seite 265-274</subfield><subfield code="w">(DE-627)18815499X</subfield><subfield code="w">(DE-600)1281439-8</subfield><subfield code="w">(DE-576)048525634</subfield><subfield code="x">1354-1013</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:21</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:1</subfield><subfield code="g">pages:265-274</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1111/gcb.12648</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://onlinelibrary.wiley.com/doi/10.1111/gcb.12648/abstract</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://www.ncbi.nlm.nih.gov/pubmed/24895088</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://search.proquest.com/docview/1636350581</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_601</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4219</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">21</subfield><subfield code="j">2015</subfield><subfield code="e">1</subfield><subfield code="h">265-274</subfield></datafield></record></collection>
|
| score |
7.401888 |