Chir Pine (Pinus roxburghii) and Blue Pine (P. wallichiana) forest in west Nepal: comparing associated plant species
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985939%3A_____%2F22%3A00570338" target="_blank" >RIV/67985939:_____/22:00570338 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.3126/jist.v27i2.51214" target="_blank" >https://doi.org/10.3126/jist.v27i2.51214</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3126/jist.v27i2.51214" target="_blank" >10.3126/jist.v27i2.51214</a>
Alternative languages
Result language
angličtina
Original language name
Chir Pine (Pinus roxburghii) and Blue Pine (P. wallichiana) forest in west Nepal: comparing associated plant species
Original language description
Chir pine (Pinus roxburghii) and blue pine (P. wallichiana) are two dominant tree species in the mid-hill forests of Nepal that also contribute significantly to the country’s total forest area. The associated vegetation pattern in pine forests is influenced by environmental and edaphic factors. The objective of this study was to determine the correlation between soil chemical properties and the composition of associated plant species in two pine forests in the Kailash Sacred Landscape, Nepal. We used the quadrat sampling method to collect vegetation and soil data. Pearson’s correlation was used to determine the relationship between soil chemical properties, Generalized Linear Model (GLM) to assess the effect of soil properties on species richness, and Canonical Correlation Analysis (CCA) for species composition. Our analysis showed that soil pH was negatively correlated with soil chemical properties and species richness of associated species. There was a higher number of associated plant species in the blue pine forest than in chir pine forest. Associated plant species generally prefer high nitrogen and phosphorus content. Soil nutrients play an important role in determining the species richness and composition but may not be only factors affecting these patterns. Pine forests play an important role in the socio-economy from the national to community levels while the associated plant species have more significant functions in the livelihoods of local communities.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10618 - Ecology
Result continuities
Project
<a href="/en/project/GA17-10280S" target="_blank" >GA17-10280S: Variability in plant traits as a tool to cope with climate change – from phenotypes to genes and back again</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Institute of Science and Technology
ISSN
2467-9062
e-ISSN
2467-9240
Volume of the periodical
27
Issue of the periodical within the volume
2
Country of publishing house
NP - THE FEDERAL DEMOCRATIC REPUBLIC OF NEPAL
Number of pages
9
Pages from-to
13-21
UT code for WoS article
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EID of the result in the Scopus database
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