To understand the impacts of mid-subtropical forest conversion on carbon and nutrient cycling, we conducted a 4-year investigation to examine litterfall, nutrient return and nutrient use efficiency of natural forest, secondary forest and plantation which were transformed from natural forest. The results showed that after natural forest was transformed into secon-dary forest and plantation, the annual litter production decreased by 29.0% and 45.7%, nitrogen return of litter decreased by 34.0% and 72.7%, and phosphorus return decreased by 38.1% and 56.4%, respectively. The amount of carbon returned from litterfall in natural forest was 25.6% and 44.3% higher than that in secondary forest and plantation, respectively. For plantation, secondary forest and natural forest, nitrogen use efficiency of litterfall was 175.4, 94.8 and 92.0 kg·kg, respectively, and phosphorus use efficiency of litterfall was 3031.0, 2791.6 and 2537.2 kg·kg, respectively. It was concluded that plantation was more limited by nitrogen compared with natural forest and secondary forest, and the effects of phosphorus limitation had similar effects on the three forests.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.13287/j.1001-9332.202202.021 | DOI Listing |
Sci Total Environ
December 2024
College of Life Sciences and Oceanography, Shenzhen University, Shenzhen 518060, China. Electronic address:
Understanding the drivers of stomatal behavior is critical for modeling terrestrial carbon cycle and water balance. The unified stomatal optimization (USO) model provides a mechanistic linkage between stomatal conductance (g) and photosynthesis (A), with its slope parameter (g) inversely related to intrinsic water use efficiency (iWUE), providing a key proxy to characterize the differences in iWUE and stomatal behavior. While many studies have identified multiple environmental factors influencing g, the potential role of evolutionary history in shaping g remains incompletely understood.
View Article and Find Full Text PDFJ Environ Manage
December 2024
Department of Geology, Delhi University(DU), New Delhi, 110007, India.
The study explores the structural and functional dynamics of rhizospheric bacterial diversity in the Pranmati basin, focusing on their ecological significance, diversity, and functional roles across dominant vegetation types; Rhododendron arboreum, Myrica esculenta, and Quercus leucotrichophora. The research provides critical insights into soil health and ecosystem functioning by analysing rhizospheric soil properties among the selected vegetations. The research findings reveal that Myrica esculenta exhibits the highest root colonization (95.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Agriculture, Food and Wine, Faculty of Sciences, Engineering and Technology, Waite Campus, University of Adelaide, Urrbrae, 5064, Australia. Electronic address:
Coastal wetland rehabilitation can provide nature-based solutions for climate change mitigation. The high carbon accumulation rate and carbon secured, potentially for several millennia, as soil organic carbon (SOC), is among the reasons. Measuring SOC storage and accrual over time are the main tools to understand rehabilitation success.
View Article and Find Full Text PDFEcol Lett
December 2024
Ecology and Genetics, University of Oulu, Oulu, Finland.
Insect declines are raising alarms regarding cascading effects on ecosystems, especially as many insectivorous bird populations are also declining. Here, we leveraged long-term monitoring datasets across Finland to investigate trophic dynamics between functional groups of moths and birds in forested habitats. We reveal a positive association between the biomass of adult- or egg-overwintering moths and the biomasses of resident and long-distance migrant birds reliant on caterpillars as breeding-season food in the north-boreal zone.
View Article and Find Full Text PDFJ Neural Transm (Vienna)
December 2024
Department of Neurology, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Korea.
Speech change is a biometric marker for Parkinson's disease (PD). However, evaluating speech variability across diverse languages is challenging. We aimed to develop a cross-language algorithm differentiating between PD patients and healthy controls using a Taiwanese and Korean speech data set.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!