Diversity of plant nutrient-acquisition strategies increases during long-term ecosystem development

Nature Plants ◽  
2015 ◽  
Vol 1 (5) ◽  
Author(s):  
Graham Zemunik ◽  
Benjamin L. Turner ◽  
Hans Lambers ◽  
Etienne Laliberté
2008 ◽  
Vol 23 (2) ◽  
pp. 95-103 ◽  
Author(s):  
H LAMBERS ◽  
J RAVEN ◽  
G SHAVER ◽  
S SMITH

2021 ◽  
Vol 45 (7) ◽  
pp. 714-727
Author(s):  
Xiao-Long LI ◽  
Jun ZHOU ◽  
Fei PENG ◽  
Hong-Tao ZHONG ◽  
LAMBERS Hans ◽  
...  

2014 ◽  
Vol 28 (4) ◽  
pp. 819-828 ◽  
Author(s):  
Francois P. Teste ◽  
Erik J. Veneklaas ◽  
Kingsley W. Dixon ◽  
Hans Lambers

2020 ◽  
Vol 227 (4) ◽  
pp. 1189-1199 ◽  
Author(s):  
Mohammad Bahram ◽  
Tarquin Netherway ◽  
Falk Hildebrand ◽  
Karin Pritsch ◽  
Rein Drenkhan ◽  
...  

2014 ◽  
Vol 38 (1) ◽  
pp. 50-60 ◽  
Author(s):  
FRANÇOIS P. TESTE ◽  
ERIK J. VENEKLAAS ◽  
KINGSLEY W. DIXON ◽  
HANS LAMBERS

2012 ◽  
Vol 9 (5) ◽  
pp. 1873-1884 ◽  
Author(s):  
G. M. Santos ◽  
A. Alexandre ◽  
J. R. Southon ◽  
K. K. Treseder ◽  
R. Corbineau ◽  
...  

Abstract. Plants absorb and transport silicon (Si) from soil, and precipitation of Si within the living plants results in micrometric amorphous biosilica particles known as phytoliths. During phytolith formation, a small amount of carbon (<2%) can become occluded in the silica structure (phytC) and therefore protected from degradation by the environment after plant tissue decomposition. Since the major C source within plants is from atmospheric carbon dioxide (CO2) via photosynthesis, the current understanding is that the radiocarbon (14C) content of phytC should reflect the 14C content of atmospheric CO2 at the time the plant is growing. This assumption was recently challenged by 14C data from phytoliths extracted from living grasses that yielded ages of several thousand years (2–8 kyr BP; in radiocarbon years "Before Present" (BP), "Present" being defined as 1950). Because plants can take up small amounts of C of varying ages from soils (e.g., during nutrient acquisition), we hypothesized that this transported C within the plant tissue could be attached to or even embedded in phytoliths. In this work, we explore this hypothesis by reviewing previously published data on biosilica mineralization and plant nutrient acquisition as well as by evaluating the efficiency of phytolith extraction protocols from scanning electron microscope (SEM) images and energy dispersive spectrometer (EDS) analyses from harvested grasses phytolith concentrates. We show that current extraction protocols are inefficient since they do not entirely remove recalcitrant forms of C from plant tissue. Consequently, material previously measured as "phytC" may contain at least some fraction of soil-derived C (likely radiocarbon-old) taken up by roots. We also suggest a novel interpretation for at least some of the phytC – which enters via the root pathway during nutrient acquisition – that may help to explain the old ages previously obtained from phytolith concentrates.


2021 ◽  
Author(s):  
Eric R. Gann ◽  
Alexander R. Truchon ◽  
Spiridon E. Papoulis ◽  
Sonya T. Dyhrman ◽  
Christopher J. Gobler ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 990 ◽  
Author(s):  
Feng Chen ◽  
Shouzhi Xu ◽  
Ying Zhao ◽  
Hui Zhang

Portable meteorological stations are widely applied in environment monitoring systems, but they are always limited in power-supplying due to no cable power, especially in long-term monitoring scenarios. Reducing power consumption by adjusting a suitable frequency of sensor acquisition is very important for wireless sensor nodes. The regularity of historical environment data from a monitoring system is analyzed, and then an optimization model of an adaptive genetic algorithm for environment monitoring data acquisition strategies is proposed to lessen sampling frequency. According to the historical characteristics, the algorithm dynamically changes the recent data acquisition frequency so as to collect data with a smaller acquisition frequency, which will reduce the energy consumption of the sensor. Experiment results in a practical environment show that the algorithm can greatly reduce the acquisition frequency, and can obtain the environment monitoring data changing curve with less error compared with the high-frequency acquisition of fixed frequency.


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