Representativeness of point-wise phenological betula data collected in different parts of Europe

39Citations
Citations of this article
53Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Aim: We examine issues of uncertainty regarding the spatial and temporal representativeness of phenological observations using a newly compiled Europe-wide data base of phenological observations for Betula species. Location: Europe. Methods: A new data base was compiled from national phenological observations covering 15 European countries, with the longest observational periods exceeding several decades for some sites. From this, the spatial and temporal representativeness of phenological observations were evaluated via statistical analysis. Results: The results showed that there was a significant and irreducible uncertainty related to the use of data of a single station, which varied from 3 to 8 days depending on the station location. In more continental and northern climatic zones the uncertainty was lower, probably due to faster spring-time weather developments. In mild climatic conditions, the uncertainty of dates of the phenological phases registered by a single station exceeded 1 week. The considerable number of data allowed us to preliminarily estimate the features of some stations, marking them as 'late', 'early', 'representative' or 'random', depending on the dates reported by these sites and the corresponding regional means. Main conclusions: The uncertainties discovered in single-site phenological observations are significant for virtually any potential application. Possible approaches for handling the uncertainty problem are station pre-averaging and spatial regularization of the data set, pre-selection (down-sampling) or changing the description of the phenomena from deterministic to probabilistic. © 2008 The Author Journal compilation © 2008 Blackwell Publishing.

References Powered by Scopus

Get full text

The ERA-40 re-analysis

6151Citations
1481Readers
Get full text

The ECMWF ensemble prediction system: Methodology and validation

1377Citations
267Readers
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Siljamo, P., Sofiev, M., Ranta, H., Linkosalo, T., Kubin, E., Ahas, R., … Shalaboda, V. (2008). Representativeness of point-wise phenological betula data collected in different parts of Europe. Global Ecology and Biogeography, 17(4), 489–502. https://doi.org/10.1111/j.1466-8238.2008.00383.x

Readers over time

‘10‘11‘12‘13‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2502468

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 18

49%

Researcher 17

46%

Professor / Associate Prof. 1

3%

Lecturer / Post doc 1

3%

Readers' Discipline

Tooltip

Environmental Science 17

47%

Agricultural and Biological Sciences 11

31%

Earth and Planetary Sciences 6

17%

Computer Science 2

6%

Save time finding and organizing research with Mendeley

Sign up for free
0