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Items: 1 to 20 of 4381

1.

Predicting the timing of ecological phenomena using dates of species occurrence records: a methodological approach and test case with mushrooms.

Capinha C.

Int J Biometeorol. 2019 Apr 18. doi: 10.1007/s00484-019-01714-0. [Epub ahead of print]

PMID:
31001681
2.

Sex-specific differences in spring and autumn migration in a northern large herbivore.

Debeffe L, Rivrud IM, Meisingset EL, Mysterud A.

Sci Rep. 2019 Apr 16;9(1):6137. doi: 10.1038/s41598-019-42639-3.

3.

Local Ecological Knowledge on Climate Change and Ecosystem-Based Adaptation Strategies Promote Resilience in the Middle Zambezi Biosphere Reserve, Zimbabwe.

Kupika OL, Gandiwa E, Nhamo G, Kativu S.

Scientifica (Cairo). 2019 Mar 11;2019:3069254. doi: 10.1155/2019/3069254. eCollection 2019.

4.

Daily Maximum Temperatures Induce Lagged Effects on Leaf Unfolding in Temperate Woody Species Across Large Elevational Gradients.

Bigler C, Vitasse Y.

Front Plant Sci. 2019 Mar 28;10:398. doi: 10.3389/fpls.2019.00398. eCollection 2019.

5.

Larval and phenological traits predict insect community response to mowing regime manipulations.

van Klink R, Menz MHM, Baur H, Dosch O, Kühne I, Lischer L, Luka H, Meyer S, Szikora T, Unternährer D, Arlettaz R, Humbert JY.

Ecol Appl. 2019 Apr 12:e01900. doi: 10.1002/eap.1900. [Epub ahead of print]

PMID:
30980442
6.

Ecosystem Services Related to Carbon Cycling - Modeling Present and Future Impacts in Boreal Forests.

Holmberg M, Aalto T, Akujärvi A, Arslan AN, Bergström I, Böttcher K, Lahtinen I, Mäkelä A, Markkanen T, Minunno F, Peltoniemi M, Rankinen K, Vihervaara P, Forsius M.

Front Plant Sci. 2019 Mar 26;10:343. doi: 10.3389/fpls.2019.00343. eCollection 2019.

7.

Leaf age effects on the spectral predictability of leaf traits in Amazonian canopy trees.

Chavana-Bryant C, Malhi Y, Anastasiou A, Enquist BJ, Cosio EG, Keenan TF, Gerard FF.

Sci Total Environ. 2019 May 20;666:1301-1315. doi: 10.1016/j.scitotenv.2019.01.379. Epub 2019 Feb 16.

PMID:
30970495
8.

Spatiotemporal variation in vegetation spring phenology and its response to climate change in freshwater marshes of Northeast China.

Shen X, Liu B, Xue Z, Jiang M, Lu X, Zhang Q.

Sci Total Environ. 2019 May 20;666:1169-1177. doi: 10.1016/j.scitotenv.2019.02.265. Epub 2019 Feb 21.

PMID:
30970482
9.

Phenotypic plasticity in response to climate change: the importance of cue variation.

Bonamour S, Chevin LM, Charmantier A, Teplitsky C.

Philos Trans R Soc Lond B Biol Sci. 2019 Mar 18;374(1768):20180178. doi: 10.1098/rstb.2018.0178.

PMID:
30966957
10.

A full annual perspective on sex-biased migration timing in long-distance migratory birds.

Briedis M, Bauer S, Adamík P, Alves JA, Costa JS, Emmenegger T, Gustafsson L, Koleček J, Liechti F, Meier CM, Procházka P, Hahn S.

Proc Biol Sci. 2019 Feb 27;286(1897):20182821. doi: 10.1098/rspb.2018.2821.

PMID:
30963841
11.

Local snowmelt and temperature - but not regional sea-ice - explain variation in spring phenology in coastal Arctic tundra.

Assmann JJ, Myers-Smith IH, Phillimore AB, Bjorkman AD, Ennos RE, Prevéy JS, Henry GHR, Schmidt NM, Hollister RD.

Glob Chang Biol. 2019 Apr 8. doi: 10.1111/gcb.14639. [Epub ahead of print]

PMID:
30963662
12.

Prunus genetics and applications after de novo genome sequencing: achievements and prospects.

Aranzana MJ, Decroocq V, Dirlewanger E, Eduardo I, Gao ZS, Gasic K, Iezzoni A, Jung S, Peace C, Prieto H, Tao R, Verde I, Abbott AG, Arús P.

Hortic Res. 2019 Apr 5;6:58. doi: 10.1038/s41438-019-0140-8. eCollection 2019. Review.

13.

Prairie plant phenology driven more by temperature than moisture in climate manipulations across a latitudinal gradient in the Pacific Northwest, USA.

Reed PB, Pfeifer-Meister LE, Roy BA, Johnson BR, Bailes GT, Nelson AA, Boulay MC, Hamman ST, Bridgham SD.

Ecol Evol. 2019 Feb 18;9(6):3637-3650. doi: 10.1002/ece3.4995. eCollection 2019 Mar.

14.

Adaptive individual variation in phenological responses to perceived predation levels.

Abbey-Lee RN, Dingemanse NJ.

Nat Commun. 2019 Apr 8;10(1):1601. doi: 10.1038/s41467-019-09138-5.

15.

Can the environment have a genetic basis? A case study of seedling establishment in Arabidopsis thaliana.

D'Aguillo MC, Edwards BR, Donohue K.

J Hered. 2019 Apr 8. pii: esz019. doi: 10.1093/jhered/esz019. [Epub ahead of print]

PMID:
30958874
16.

Tracking dragons: stable isotopes reveal the annual cycle of a long-distance migratory insect.

Hallworth MT, Marra PP, McFarland KP, Zahendra S, Studds CE.

Biol Lett. 2018 Dec 21;14(12):20180741. doi: 10.1098/rsbl.2018.0741.

PMID:
30958242
17.

Rethinking False Spring Risk.

Chamberlain CJ, Cook BI, de Cortazar Atauri IG, Wolkovich EM.

Glob Chang Biol. 2019 Apr 6. doi: 10.1111/gcb.14642. [Epub ahead of print]

PMID:
30953573
18.

Water temperature drives phytoplankton blooms in coastal waters.

Trombetta T, Vidussi F, Mas S, Parin D, Simier M, Mostajir B.

PLoS One. 2019 Apr 5;14(4):e0214933. doi: 10.1371/journal.pone.0214933. eCollection 2019.

19.

Toward a large-scale and deep phenological stage annotation of herbarium specimens: Case studies from temperate, tropical, and equatorial floras.

Lorieul T, Pearson KD, Ellwood ER, Goëau H, Molino JF, Sweeney PW, Yost JM, Sachs J, Mata-Montero E, Nelson G, Soltis PS, Bonnet P, Joly A.

Appl Plant Sci. 2019 Mar 20;7(3):e01233. doi: 10.1002/aps3.1233. eCollection 2019 Mar.

20.

Temperature controls phenology in continuously flowering Protea species of subtropical Africa.

Daru BH, Kling MM, Meineke EK, van Wyk AE.

Appl Plant Sci. 2019 Mar 7;7(3):e01232. doi: 10.1002/aps3.1232. eCollection 2019 Mar.

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