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Functional trait diversity and aboveground biomass of herbaceous vegetation in temperate forests of Kashmir Himalaya.
Islam, Tajamul; Hamid, Maroof; Khuroo, Anzar Ahmad; Nawchoo, Irshad A.
Afiliação
  • Islam T; Centre for Biodiversity & Taxonomy, Department of Botany, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India. islamtajamul66@gmail.com.
  • Hamid M; Plant Reproductive Biology, Genetic Diversity and Phytochemistry Research Laboratory, Department of Botany, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India. islamtajamul66@gmail.com.
  • Khuroo AA; Centre for Biodiversity & Taxonomy, Department of Botany, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
  • Nawchoo IA; Centre for Biodiversity & Taxonomy, Department of Botany, University of Kashmir, Srinagar, 190 006, Jammu and Kashmir, India.
Environ Monit Assess ; 196(1): 60, 2023 Dec 19.
Article em En | MEDLINE | ID: mdl-38110625
ABSTRACT
Studying functional trait diversity can provide crucial clues about the adaptive survival strategies of regional plant species pool. Despite large-scale trait datasets available worldwide, the plant trait data from many biodiversity hotpot regions, like the Himalaya is still scarce. In this study, we aimed to investigate the plant functional traits and aboveground biomass of understory herbaceous vegetation in temperate forests of Overa-Aru wildlife sanctuary of Kashmir Himalaya. We also investigate how these functional traits correlate and what is the magnitude of trait-biomass relationship across the herbaceous species pool. For this, we conducted field sampling and measured leaf functional traits and aboveground biomass of 38 plant species in the study region during peak growing season (July-August) in the year 2021. The results revealed a significant interspecific trait variability among the species studied. We observed a high variability in leaf size and type spectra of the species, with nanophyll and simple leaf lamina, respectively, the most common types among the species studied. The correlation analysis revealed that plant height was positively correlated with aboveground biomass. The variation partitioning analysis revealed that the plant height explained the maximum fraction of variation in aboveground biomass, while least by specific leaf area. Overall, the findings from the present study provide useful insights in understanding trait-trait relationship and trait-environment interaction at the regional scale and can also help in recognizing adaptive functional traits of plant species that determine plant survival under the changing climate in this Himalayan region.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Florestas / Monitoramento Ambiental Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Florestas / Monitoramento Ambiental Idioma: En Ano de publicação: 2023 Tipo de documento: Article