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Items: 1 to 20 of 99

1.

Indirect effects of water availability in driving and predicting productivity in the Gobi desert.

Xu K, He L, Hu H, Wang Z, Lin M, Liu S, Du Y, Li Y, Wang G.

Sci Total Environ. 2019 Aug 17;697:133952. doi: 10.1016/j.scitotenv.2019.133952. [Epub ahead of print]

PMID:
31487587
2.

Does climate directly influence NPP globally?

Chu C, Bartlett M, Wang Y, He F, Weiner J, Chave J, Sack L.

Glob Chang Biol. 2016 Jan;22(1):12-24. doi: 10.1111/gcb.13079. Epub 2015 Oct 7.

PMID:
26442433
3.

Relationships between net primary productivity and stand age for several forest types and their influence on China's carbon balance.

Wang S, Zhou L, Chen J, Ju W, Feng X, Wu W.

J Environ Manage. 2011 Jun;92(6):1651-62. doi: 10.1016/j.jenvman.2011.01.024. Epub 2011 Feb 19.

PMID:
21339040
4.

Evaluating the responses of net primary productivity and carbon use efficiency of global grassland to climate variability along an aridity gradient.

Liu Y, Yang Y, Wang Q, Du X, Li J, Gang C, Zhou W, Wang Z.

Sci Total Environ. 2019 Feb 20;652:671-682. doi: 10.1016/j.scitotenv.2018.10.295. Epub 2018 Oct 22.

PMID:
30380475
5.

Vulnerability of tropical forest ecosystems and forest dependent communities to droughts.

Vogt DJ, Vogt KA, Gmur SJ, Scullion JJ, Suntana AS, Daryanto S, Sigurðardóttir R.

Environ Res. 2016 Jan;144(Pt B):27-38. doi: 10.1016/j.envres.2015.10.022. Epub 2015 Nov 6.

6.

Quantitative assessments of water-use efficiency in Temperate Eurasian Steppe along an aridity gradient.

Chen Y, Li J, Ju W, Ruan H, Qin Z, Huang Y, Jeelani N, Padarian J, Propastin P.

PLoS One. 2017 Jul 7;12(7):e0179875. doi: 10.1371/journal.pone.0179875. eCollection 2017.

7.

Variation in stem mortality rates determines patterns of above-ground biomass in Amazonian forests: implications for dynamic global vegetation models.

Johnson MO, Galbraith D, Gloor M, De Deurwaerder H, Guimberteau M, Rammig A, Thonicke K, Verbeeck H, von Randow C, Monteagudo A, Phillips OL, Brienen RJ, Feldpausch TR, Lopez Gonzalez G, Fauset S, Quesada CA, Christoffersen B, Ciais P, Sampaio G, Kruijt B, Meir P, Moorcroft P, Zhang K, Alvarez-Davila E, Alves de Oliveira A, Amaral I, Andrade A, Aragao LE, Araujo-Murakami A, Arets EJ, Arroyo L, Aymard GA, Baraloto C, Barroso J, Bonal D, Boot R, Camargo J, Chave J, Cogollo A, Cornejo Valverde F, Lola da Costa AC, Di Fiore A, Ferreira L, Higuchi N, Honorio EN, Killeen TJ, Laurance SG, Laurance WF, Licona J, Lovejoy T, Malhi Y, Marimon B, Marimon BH Junior, Matos DC, Mendoza C, Neill DA, Pardo G, Peña-Claros M, Pitman NC, Poorter L, Prieto A, Ramirez-Angulo H, Roopsind A, Rudas A, Salomao RP, Silveira M, Stropp J, Ter Steege H, Terborgh J, Thomas R, Toledo M, Torres-Lezama A, van der Heijden GM, Vasquez R, Guimarães Vieira IC, Vilanova E, Vos VA, Baker TR.

Glob Chang Biol. 2016 Dec;22(12):3996-4013. doi: 10.1111/gcb.13315. Epub 2016 May 19.

8.

Increased Precipitation and Nitrogen Alter Shrub Architecture in a Desert Shrubland: Implications for Primary Production.

She W, Zhang Y, Qin S, Wu B, Bai Y.

Front Plant Sci. 2016 Dec 20;7:1908. doi: 10.3389/fpls.2016.01908. eCollection 2016.

9.

Convergence of terrestrial plant production across global climate gradients.

Michaletz ST, Cheng D, Kerkhoff AJ, Enquist BJ.

Nature. 2014 Aug 7;512(7512):39-43. doi: 10.1038/nature13470. Epub 2014 Jul 20. Erratum in: Nature. 2016;537(7620):293.

PMID:
25043056
10.

[Spatial-temporal distribution of vegetation net primary productivity and its driving factors from 2000 to 2015 in Shaanxi, China.]

Wang Z, Li DK.

Ying Yong Sheng Tai Xue Bao. 2018 Jun;29(6):1876-1884. doi: 10.13287/j.1001-9332.201806.029. Chinese.

PMID:
29974697
11.

[Change of vegetation net primary productivity in Yellow River watersheds from 2001 to 2010 and its climatic driving factors analysis].

Chen Q, Chen YH, Wang MJ, Jiang WG, Hou P, Li Y.

Ying Yong Sheng Tai Xue Bao. 2014 Oct;25(10):2811-8. Chinese.

PMID:
25796886
12.

A peatland productivity and decomposition parameter database.

Bona KA, Hilger A, Burgess M, Wozney N, Shaw C.

Ecology. 2018 Oct;99(10):2406. doi: 10.1002/ecy.2462. Epub 2018 Sep 10.

PMID:
30030841
13.

Net primary productivity and nutrient cycling across a mesic to wet precipitation gradient in Hawaiian montane forest.

Schuur EA, Matson PA.

Oecologia. 2001 Aug;128(3):431-442. doi: 10.1007/s004420100671. Epub 2001 Apr 26.

PMID:
24549913
14.

Vegetation net primary productivity and its response to climate change during 2001-2008 in the Tibetan Plateau.

Gao Y, Zhou X, Wang Q, Wang C, Zhan Z, Chen L, Yan J, Qu R.

Sci Total Environ. 2013 Feb 1;444:356-62. doi: 10.1016/j.scitotenv.2012.12.014. Epub 2012 Dec 29.

PMID:
23280293
15.

Dominant plant taxa predict plant productivity responses to CO2 enrichment across precipitation and soil gradients.

Fay PA, Newingham BA, Polley HW, Morgan JA, LeCain DR, Nowak RS, Smith SD.

AoB Plants. 2015 Mar 30;7. pii: plv027. doi: 10.1093/aobpla/plv027.

16.

Annual climate variation modifies nitrogen induced carbon accumulation of Pinus sylvestris forests.

Lim H, Oren R, Linder S, From F, Nordin A, Fahlvik N, Lundmark T, Näsholm T.

Ecol Appl. 2017 Sep;27(6):1838-1851. doi: 10.1002/eap.1571. Epub 2017 Jul 10.

PMID:
28464423
17.

Plants alter their vertical root distribution rather than biomass allocation in response to changing precipitation.

Zhang B, Cadotte MW, Chen S, Tan X, You C, Ren T, Chen M, Wang S, Li W, Chu C, Jiang L, Bai Y, Huang J, Han X.

Ecology. 2019 Jul 19:e02828. doi: 10.1002/ecy.2828. [Epub ahead of print]

PMID:
31323118
18.

Productivity responses of desert vegetation to precipitation patterns across a rainfall gradient.

Li F, Zhao W, Liu H.

J Plant Res. 2015 Mar;128(2):283-94. doi: 10.1007/s10265-014-0685-4. Epub 2015 Jan 23.

PMID:
25613044
19.

Spatial-temporal patterns of water use efficiency and climate controls in China's Loess Plateau during 2000-2010.

Zhang T, Peng J, Liang W, Yang Y, Liu Y.

Sci Total Environ. 2016 Sep 15;565:105-122. doi: 10.1016/j.scitotenv.2016.04.126. Epub 2016 May 7.

PMID:
27161132
20.

Responses of terrestrial ecosystems' net primary productivity to future regional climate change in China.

Zhao D, Wu S, Yin Y.

PLoS One. 2013 Apr 11;8(4):e60849. doi: 10.1371/journal.pone.0060849. Print 2013.

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