scholarly journals Biodiversity-ecosystem functioning relationships in a long-term non-weeded field experiment

Ecology ◽  
2018 ◽  
Vol 99 (8) ◽  
pp. 1836-1846 ◽  
Author(s):  
G. F. Veen ◽  
Wim H. van der Putten ◽  
T. Martijn Bezemer
Keyword(s):  
Field Experiment ◽  
Ecosystem Functioning

Biomass production of weeds on the winter wheat stubble in long-term fertilization field experiment

2005 ◽  
Vol 33 (1) ◽  
pp. 251-254 ◽  
Author(s):  
Éva Lehoczky ◽  
András Kismányoky ◽  
Tamás Kismányoky
Keyword(s):  
Winter Wheat ◽  
Field Experiment ◽  
Biomass Production ◽  
Wheat Stubble

Long-term Archive of the DUCK94 Nearshore Field Experiment Data

1999 ◽  
Author(s):  
William Birkemeier ◽  
Kent Hathaway ◽  
Ravi Sinha ◽  
Kossi Edoh ◽  
Awatif Amin ◽  
...  
Keyword(s):  
Field Experiment ◽  
Experiment Data

Exploring the Vis-NIR wavelength importance in SOC models under field and lab conditions in a long-term field experiment

2021 ◽  
Author(s):  
Javier Reyes ◽  
Mareike Ließ
Keyword(s):  
Field Experiment ◽  
Spectral Response ◽  
Nir Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Field Conditions ◽  
Partial Least Square Regression ◽  
Preprocessing Technique ◽  
Term Field

<p>Soil organic carbon (SOC) is of particular interest in the study of agricultural systems as an indicator of soil quality and soil fertility. In the use of Vis-NIR spectroscopy for SOC detection, the interpretation of the spectral response with regards to the importance of individual wavelengths is challenging due to the soil’s composition of multiple organic and minerals compounds. Under field conditions, additional aspects affect the spectral data compared to lab conditions. This study compared the spectral wavelength importance in partial least square regression (PLSR) models for SOC between field and lab conditions. Surface soil samples were obtained from a long-term field experiment (LTE) with high SOC variability located in the state of Saxony-Anhalt, Germany. Data sets of Vis-NIR spectra were acquired in the lab and field using two spectrometers, respectively. Four different preprocessing methods were applied before building the models. Wavelength importance was observed using variable importance in projection. Differences in wavelength importance were observed depending on the measurement device, measurement condition, and preprocessing technique, although pattern matches were identifiable, especially in the NIR range. It is these pattern matches that aid model interpretation to effectively determine SOC under field conditions.</p>

scholarly journals Plant traits are poor predictors of long-term ecosystem functioning

2019 ◽  
Author(s):  
Fons van der Plas ◽  
Thomas Schröder-Georgi ◽  
Alexandra Weigelt ◽  
Kathryn Barry ◽  
Sebastian Meyer ◽  
...  
Keyword(s):  
Plant Species ◽  
Ecosystem Functioning ◽  
Plant Traits ◽  
Vascular Plant ◽  
Plant Performance ◽  
Ecosystem Functions ◽  
Average Percentage ◽  
Functional Consequences ◽  
Small Set

ABSTRACTEarth is home to over 350,000 vascular plant species1 that differ in their traits in innumerable ways. Yet, a handful of functional traits can help explaining major differences among species in photosynthetic rate, growth rate, reproductive output and other aspects of plant performance2–6. A key challenge, coined “the Holy Grail” in ecology, is to upscale this understanding in order to predict how natural or anthropogenically driven changes in the identity and diversity of co-occurring plant species drive the functioning of ecosystems7, 8. Here, we analyze the extent to which 42 different ecosystem functions can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented number of traits analyzed, the average percentage of variation in ecosystem functioning that they jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem functioning to plant traits analyzed no more than six traits, and when including either only six random or the six most frequently studied traits in our analysis, the average percentage of explained variation in across-year ecosystem functioning dropped to 4.8%. Furthermore, different ecosystem functions were driven by different traits, with on average only 12.2% overlap in significant predictors. Thus, we did not find evidence for the existence of a small set of key traits able to explain variation in multiple ecosystem functions across years. Our results therefore suggest that there are strong limits in the extent to which we can predict the long-term functional consequences of the ongoing, rapid changes in the composition and diversity of plant communities that humanity is currently facing.

scholarly journals Field Experiment on Long-Term Application of Chemical Fertilizers and Farmyard Manure in Floodplain Soil of Bangladesh

10.5109/4694 ◽  
2005 ◽  
Vol 50 (2) ◽  
pp. 861-870
Author(s):  
Kazuhiko Egashira ◽  
Jing-Long Han ◽  
Noriko Satake ◽  
Tomomi Nagayama ◽  
M.Joinul Abedin Mian ◽  
...  
Keyword(s):  
Field Experiment ◽  
Farmyard Manure ◽  
Chemical Fertilizers ◽  
Floodplain Soil
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