Results 191 to 200 of about 103,601 (301)

Nutrient addition and herbivore exclusion alter plant traits and biomass via distinct mechanisms: intraspecific variability vs species turnover

open access: yesNew Phytologist, Volume 249, Issue 5, Page 2251-2262, March 2026.
Summary Soil nutrients and vertebrate herbivory are key ecological factors with opposite and interactive effects on grassland plant traits and biomass. Partitioning trait changes into species turnover and intraspecific change provides a mechanistic linkage between trait shifts and biomass responses.
Xuebin Yan   +2 more
wiley   +1 more source

Biogeography and host associations of Russula subsection Xerampelinae based on large‐scale analysis of UNITE sequence data

open access: yesNew Phytologist, Volume 249, Issue 5, Page 2547-2558, March 2026.
Summary Estimating fungal geographic ranges and niche potential is limited by the ephemeral nature of fruiting bodies. While environmental DNA offers broader insights, species‐level identification remains difficult due to uncertain sequence clustering thresholds, low interspecific variation in barcoding regions, and limited taxonomic resolution.
Chance R. Noffsinger   +7 more
wiley   +1 more source

Improved Longan Genome Assembly Reveals Insights Into Flowering Mechanisms

open access: yesPlant Biotechnology Journal, Volume 24, Issue 3, Page 1678-1696, March 2026.
ABSTRACT Longan is an exotic tropical fruit crop and exhibits off‐season flowering induced by potassium chlorate (KClO3), though the molecular mechanisms remain unclear. We assembled a high‐quality, 441.5 Mb genome of variety ‘Shixia’, with a contig N50 at 28.1 Mb, 29, 325 protein‐coding genes, 26 telomeres and 15 centromeres.
Guochun Zhao   +14 more
wiley   +1 more source

Interactions between chloroplast and mitochondrial genomes in 11 <i>Salix</i> species. [PDF]

open access: yesFront Plant Sci
Kim Y   +5 more
europepmc   +1 more source

Use of LANDSAT imagery for wildlife habitat mapping in northeast and eastcentral Alaska [PDF]

open access: yes
The author has identified the following significant results. There is strong indication that spatially rare feature classes may be missed in clustering classifications based on 2% random sampling.
Lent, P. C.
core   +1 more source

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