scholarly journals Intraspecific genetic variation of a Fagus sylvatica population in a temperate forest derived from airborne imaging spectroscopy time series

2020 ◽  
Vol 10 (14) ◽  
pp. 7419-7430
Author(s):  
Ewa A. Czyż ◽  
Carla Guillén Escribà ◽  
Hendrik Wulf ◽  
Andrew Tedder ◽  
Meredith C. Schuman ◽  
...  
Keyword(s):  
Time Series ◽  
Genetic Variation ◽  
Fagus Sylvatica ◽  
Temperate Forest ◽  
Imaging Spectroscopy ◽  
Intraspecific Genetic Variation ◽  
Airborne Imaging

FlexBRDF: A Flexible BRDF Correction for Grouped Processing of Airborne Imaging Spectroscopy Flightlines

2021 ◽  
Author(s):  
Natalie Queally ◽  
Zhiwei Ye ◽  
Ting Zheng ◽  
Adam Chlus ◽  
Fabian Schneider ◽  
...  
Keyword(s):  
Imaging Spectroscopy ◽  
Airborne Imaging

scholarly journals Imaging Spectroscopic Analysis of Biochemical Traits for Shrub Species in Great Basin, USA

2018 ◽  
Vol 10 (10) ◽  
pp. 1621 ◽  
Author(s):  
Yi Qi ◽  
Susan Ustin ◽  
Nancy Glenn
Keyword(s):  
Great Basin ◽  
Land Surface ◽  
Imaging Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Leaf Mass Per Area ◽  
Shrub Species ◽  
Biochemical Traits ◽  
Airborne Imaging

The biochemical traits of plant canopies are important predictors of photosynthetic capacity and nutrient cycling. However, remote sensing of biochemical traits in shrub species in dryland ecosystems has been limited mainly due to the sparse vegetation cover, manifold shrub structures, and complex light interaction between the land surface and canopy. In order to examine the performance of airborne imaging spectroscopy for retrieving biochemical traits in shrub species, we collected Airborne Visible Infrared Imaging Spectrometer—Next Generation (AVIRIS-NG) images and surveyed four foliar biochemical traits (leaf mass per area, water content, nitrogen content and carbon) of sagebrush (Artemesia tridentata) and bitterbrush (Purshia tridentata) in the Great Basin semi-desert ecoregion, USA, in October 2014 and May 2015. We examined the correlations between biochemical traits and developed partial least square regression (PLSR) models to compare spectral correlations with biochemical traits at canopy and plot levels. PLSR models for sagebrush showed comparable performance between calibration (R2: LMA = 0.66, water = 0.7, nitrogen = 0.42, carbon = 0.6) and validation (R2: LMA = 0.52, water = 0.41, nitrogen = 0.23, carbon = 0.57), while prediction for bitterbrush remained a challenge. Our results demonstrate the potential for airborne imaging spectroscopy to measure shrub biochemical traits over large shrubland regions. We also highlight challenges when estimating biochemical traits with airborne imaging spectroscopy data.

Genetic variation of beech (Fagus sylvatica L.) in Rodopi (N.E. Greece)

2007 ◽  
Vol 127 (1) ◽  
pp. 81-88 ◽  
Author(s):  
Aristotelis C. Papageorgiou ◽  
Amaryllis Vidalis ◽  
Oliver Gailing ◽  
Ioannis Tsiripidis ◽  
Seraphim Hatziskakis ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Fagus Sylvatica ◽  
Fagus Sylvatica L

Soybean intraspecific genetic variation in response to elevated CO2

2019 ◽  
Vol 65 (12) ◽  
pp. 1733-1744 ◽  
Author(s):  
Li ◽  
Yu ◽  
Yang ◽  
Jin ◽  
Wang ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Elevated Co2 ◽  
Intraspecific Genetic Variation

scholarly journals Genetic specificity of a plant–insect food web: Implications for linking genetic variation to network complexity

2016 ◽  
Vol 113 (8) ◽  
pp. 2128-2133 ◽  
Author(s):  
Matthew A. Barbour ◽  
Miguel A. Fortuna ◽  
Jordi Bascompte ◽  
Joshua R. Nicholson ◽  
Riitta Julkunen-Tiitto ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Food Web ◽  
Host Plant ◽  
Trophic Interactions ◽  
Common Garden ◽  
Ecological Networks ◽  
Experimental Population ◽  
Trait Variation ◽  
Intraspecific Genetic Variation ◽  
Food Web Complexity

Theory predicts that intraspecific genetic variation can increase the complexity of an ecological network. To date, however, we are lacking empirical knowledge of the extent to which genetic variation determines the assembly of ecological networks, as well as how the gain or loss of genetic variation will affect network structure. To address this knowledge gap, we used a common garden experiment to quantify the extent to which heritable trait variation in a host plant determines the assembly of its associated insect food web (network of trophic interactions). We then used a resampling procedure to simulate the additive effects of genetic variation on overall food-web complexity. We found that trait variation among host-plant genotypes was associated with resistance to insect herbivores, which indirectly affected interactions between herbivores and their insect parasitoids. Direct and indirect genetic effects resulted in distinct compositions of trophic interactions associated with each host-plant genotype. Moreover, our simulations suggest that food-web complexity would increase by 20% over the range of genetic variation in the experimental population of host plants. Taken together, our results indicate that intraspecific genetic variation can play a key role in structuring ecological networks, which may in turn affect network persistence.

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