modeling the effects of tree species and incubation temperature on soil's extracellular enzyme activity in 78-year-old tree plantations
Clicks: 167
ID: 201315
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
167 views
29 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #156 of 345 articles by views in tetrahedron letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 345 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Forest plantations have been widely used as an effective measure for
increasing soil carbon (C), and nitrogen (N) stocks and soil enzyme
activities play a key role in soil C and N losses during
decomposition of soil organic matter. However, few studies have been
carried out to elucidate the mechanisms behind the differences in
soil C and N cycling by different tree species in response to
climate warming. Here, we measured the responses of soil's
extracellular enzyme activity (EEA) to a gradient of temperatures
using incubation methods in 78-year-old forest plantations with
different tree species. Based on a soil enzyme kinetics model, we
established a new statistical model to investigate the effects of
temperature and tree species on soil EEA. In addition, we
established a tree species–enzyme–C∕N model to
investigate how temperature and tree species influence soil
C∕N contents over time without considering plant C
inputs. These extracellular enzymes included C acquisition enzymes
(β-glucosidase, BG), N acquisition enzymes
(N-acetylglucosaminidase, NAG; leucine aminopeptidase, LAP) and
phosphorus acquisition enzymes (acid phosphatases). The results
showed that incubation temperature and tree species significantly
influenced all soil EEA and Eucalyptus had 1.01–2.86 times
higher soil EEA than coniferous tree species. Modeling showed that
Eucalyptus had larger soil C losses but had 0.99–2.38
times longer soil C residence time than the coniferous tree species
over time. The differences in the residual soil C and N contents
between Eucalyptus and coniferous tree species, as well as
between slash pine (Pinus elliottii
Engelm. var. elliottii) and hoop pine (Araucaria
cunninghamii Ait.), increase with time. On the other hand, the
modeling results help explain why exotic slash pine can grow faster,
as it has 1.22–1.38 times longer residual soil N residence time for
LAP, which mediate soil N cycling in the long term, than native
coniferous tree species like hoop pine and kauri pine
(Agathis robusta C. Moore). Our results will be helpful for
understanding the mechanisms of soil C and N cycling by different
tree species, which will have implications for forest management.
| Reference Key |
zhou2017biogeosciencesmodeling
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;X. Zhou;X. Zhou;X. Zhou;S. S. J. Wang;S. S. J. Wang;C. Chen |
| Journal | tetrahedron letters |
| Year | 2017 |
| DOI |
10.5194/bg-14-5393-2017
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.