These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
149 related articles for article (PubMed ID: 34834835)
21. Prediction of Arctic plant phenological sensitivity to climate change from historical records. Panchen ZA; Gorelick R Ecol Evol; 2017 Mar; 7(5):1325-1338. PubMed ID: 28261446 [TBL] [Abstract][Full Text] [Related]
22. Tracking Phenological Changes over 183 Years in Endemic Species of a Mediterranean Mountain (Sierra Nevada, SE Spain) Using Herbarium Specimens. Rondinel-Mendoza KV; Lorite J; Marín-Rodulfo M; Cañadas EM Plants (Basel); 2024 Feb; 13(4):. PubMed ID: 38498521 [TBL] [Abstract][Full Text] [Related]
23. A new method and insights for estimating phenological events from herbarium specimens. Pearson KD Appl Plant Sci; 2019 Mar; 7(3):e01224. PubMed ID: 30937217 [TBL] [Abstract][Full Text] [Related]
24. Macroevolutionary history predicts flowering time but not phenological sensitivity to temperature in grasses. Neto-Bradley BM; Whitton J; Lipsen LPJ; Pennell MW Am J Bot; 2021 May; 108(5):893-902. PubMed ID: 33948930 [TBL] [Abstract][Full Text] [Related]
25. GinJinn: An object-detection pipeline for automated feature extraction from herbarium specimens. Ott T; Palm C; Vogt R; Oberprieler C Appl Plant Sci; 2020 Jun; 8(6):e11351. PubMed ID: 32626606 [TBL] [Abstract][Full Text] [Related]
26. The phenology of Rubus fruticosus in Ireland: herbarium specimens provide evidence for the response of phenophases to temperature, with implications for climate warming. Diskin E; Proctor H; Jebb M; Sparks T; Donnelly A Int J Biometeorol; 2012 Nov; 56(6):1103-11. PubMed ID: 22382508 [TBL] [Abstract][Full Text] [Related]
27. Detection and annotation of plant organs from digitised herbarium scans using deep learning. Younis S; Schmidt M; Weiland C; Dressler S; Seeger B; Hickler T Biodivers Data J; 2020; 8():e57090. PubMed ID: 33343217 [TBL] [Abstract][Full Text] [Related]
28. Can Artificial Intelligence Help in the Study of Vegetative Growth Patterns from Herbarium Collections? An Evaluation of the Tropical Flora of the French Guiana Forest. Goëau H; Lorieul T; Heuret P; Joly A; Bonnet P Plants (Basel); 2022 Feb; 11(4):. PubMed ID: 35214863 [TBL] [Abstract][Full Text] [Related]
29. Spring- and fall-flowering species show diverging phenological responses to climate in the Southeast USA. Pearson KD Int J Biometeorol; 2019 Apr; 63(4):481-492. PubMed ID: 30734127 [TBL] [Abstract][Full Text] [Related]
30. A new herbarium-based method for reconstructing the phenology of plant species across large areas. Lavoie C; Lachance D Am J Bot; 2006 Apr; 93(4):512-6. PubMed ID: 21646211 [TBL] [Abstract][Full Text] [Related]
32. Herbarium specimens show contrasting phenological responses to Himalayan climate. Hart R; Salick J; Ranjitkar S; Xu J Proc Natl Acad Sci U S A; 2014 Jul; 111(29):10615-9. PubMed ID: 25002486 [TBL] [Abstract][Full Text] [Related]
33. Shifts in flowering phenology reshape a subalpine plant community. CaraDonna PJ; Iler AM; Inouye DW Proc Natl Acad Sci U S A; 2014 Apr; 111(13):4916-21. PubMed ID: 24639544 [TBL] [Abstract][Full Text] [Related]
34. Photographs and herbarium specimens as tools to document phenological changes in response to global warming. Miller-Rushing AJ; Primack RB; Primack D; Mukunda S Am J Bot; 2006 Nov; 93(11):1667-74. PubMed ID: 21642112 [TBL] [Abstract][Full Text] [Related]
35. Herbarium specimens reveal the footprint of climate change on flowering trends across north-central North America. Calinger KM; Queenborough S; Curtis PS Ecol Lett; 2013 Aug; 16(8):1037-44. PubMed ID: 23786499 [TBL] [Abstract][Full Text] [Related]
36. Phenological indices of avian reproduction: cryptic shifts and prediction across large spatial and temporal scales. Gullett P; Hatchwell BJ; Robinson RA; Evans KL Ecol Evol; 2013 Jul; 3(7):1864-77. PubMed ID: 23919135 [TBL] [Abstract][Full Text] [Related]
37. Maximizing human effort for analyzing scientific images: A case study using digitized herbarium sheets. Brenskelle L; Guralnick RP; Denslow M; Stucky BJ Appl Plant Sci; 2020 Jun; 8(6):e11370. PubMed ID: 32626612 [TBL] [Abstract][Full Text] [Related]
38. Herbarium records indicate variation in bloom-time sensitivity to temperature across a geographically diverse region. Kopp CW; Neto-Bradley BM; Lipsen LPJ; Sandhar J; Smith S Int J Biometeorol; 2020 May; 64(5):873-880. PubMed ID: 32112132 [TBL] [Abstract][Full Text] [Related]
39. Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction. Oses N; Azpiroz I; Marchi S; Guidotti D; Quartulli M; G Olaizola I Sensors (Basel); 2020 Nov; 20(21):. PubMed ID: 33182272 [TBL] [Abstract][Full Text] [Related]
40. Substantial shifts in flowering phenology of Sternbergia vernalis in the Himalaya: Supplementing decadal field records with historical and experimental evidences. Hassan T; Hamid M; Wani SA; Malik AH; Waza SA; Khuroo AA Sci Total Environ; 2021 Nov; 795():148811. PubMed ID: 34246140 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]