How to measure mast seeding?
How to measure mast seeding?
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如何测量肥大播种量?
DOI:
10.1111/nph.18984
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发表时间:
2023
期刊:
影响因子:
9.4
通讯作者:
Bogdziewicz M
中科院分区:
文献类型:
--
作者:
Bogdziewicz M
The periodic production of large seed crops, or masting, is a widespread phenomenon in perennial plants. This behavior can enhance the reproductive efficiency of plants, leading to increased fitness, and produce ripple effects on food webs. While variability from year to year is a defining characteristic of masting, the methods used to quantify this variability are highly debated. The commonly used coefficient of variation lacks the ability to account for the serial dependence in mast data and can be influenced by zeros, making it a less suitable choice for various applications based on individual‐level observations, such as phenotypic selection, heritability, and climate change studies, which rely on individual‐plant‐level datasets that often contain numerous zeros. To address these limitations, we present three case studies and introduce volatility and periodicity, which account for the variance in the frequency domain by emphasizing the significance of long intervals in masting. By utilizing examples ofSorbus aucuparia,Pinus pinea,Quercus robur,Quercus pubescens, andFagus sylvatica, we demonstrate how volatility captures the effects of variance at both high and low frequencies, even in the presence of zeros, leading to improved ecological interpretations of the results. The growing availability of long‐term, individual‐plant datasets promises significant advancements in the field, but requires appropriate tools for analysis, which the new metrics provide.
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影响因子:
9.4
作者:
V. Journé;A. Hacket‐Pain;Iris Oberklammer;M. Pesendorfer;Michał Bogdziewicz
通讯作者:
Michał Bogdziewicz
影响因子:
3.4
作者:
Kelly, D;Harrison, AL;Schauber, EM
通讯作者:
Schauber, EM
影响因子:
4.8
作者:
Andrew J. Tanentzap;William G. Lee;D. Coomes
通讯作者:
D. Coomes
DOI:
--
发表时间:
2017
期刊:
Proceedings of the Royal Society B: Biological Sciences
影响因子:
--
作者:
I. Pearse;J. M. LaMontagne;W. Koenig
通讯作者:
W. Koenig
影响因子:
5.5
作者:
M. Shibata;T. Masaki;T. Yagihashi;T. Shimada;T. Saitoh
通讯作者:
T. Saitoh