Dataset of Foliar Element Concentrations of
Plants from Natural Forests with Different Substrates in Southern China
Cui, P. X.1
Cao, K. F.1* Tian,
S. Q.1 Fu, P. L.2 Bai, K. D.3 Jiang, Y. J.2
1. State Key Laboratory for Conservation and Utilization of Agrobioresources,
College of Forestry, Guangxi University, Nanning 530004, China;
2. Xishuangbanna Tropical Botanical Garden, Chinese Academy of
Sciences, Mengla 666303, China;
3. Institute of Botany of Guangxi Zhuang Autonomous Region and
Chinese Academy of Sciences, Guilin 541006, China
Abstract: The foliar concentrations of nutrient
elements play an important role in plant growth and reproduction, which can
reflect the absorption or accumulation of elements by plants growing with
different substrates. From August to September 2006, leaves of 23 species were
collected from a tropical karst forest in Xishuangbanna, Yunnan. In July 2013,
leaves of 40 species were collected in another tropical karst forest in
Nonggang, Guangxi. From August to September 2015, leaves of 12 mangrove species
were collected in Hainan. The foliar concentrations of N, P, K, Ca, Mg, Fe, Mn,
Zn, Na, etc. were determined by chemical analysis. The dataset includes: (1)
species names, Latin names and leaf element concentrations of 23 plant species
in Xishuangbanna karst forest; (2) species names, Latin names and leaf element
concentrations of 40 plant species in the karst forest of Nonggang National
Nature Reserve; (3) species names, Latin names and leaf element concentrations
of 12 plant species in the Qinglangang Mangrove Nature Reserve. The dataset is
composed of three data tables in .xlsx data format in 24 KB.
Keywords: tropical karst
forest; mangroves; foliar element concentrations
DOI: https://doi.org/10.3974/geodp.2021.02.07
CSTR: https://cstr.escience.org.cn/CSTR:20146.14.2021.02.07
Dataset Availability Statement:
The dataset
supporting this paper was published and is accessible through the Digital Journal of Global Change Data
Repository at: https://doi.org/10.3974/geodb.2021.01.17.V1 or
https://cstr.escience.org.cn/CSTR:20146.11.2021.01.17.V1.
1 Introduction
The nutrient elements
play an important role in the growth and reproduction of plants. The
concentrations of these elements can reflect the abundance and deficiency of
elements in the soil environment[1?C4]. There are differences in the
process of soil formation in different habitats, which makes the accumulation
of elements in the environment different.
The soil parent material of
karst is soluble carbonate rock, and its limestone and dolomite are rich in Ca
and Mg elements. Its soil pH value is around 7, and the soil layer is shallow
and discontinuous. The bare rock rate is high, the water holding capacity is
low, the nutrient is poor, and the habitat is easy to be degraded by human
interferences. Mangroves grow in the coastal intertidal zone, and some also
grow in the upper edge of the intertidal zone. Affected by the sea water, the
sandy soil is salinized and contains acid sulfate in a reduced state[5].
This study used the data with an evergreen
broad-leaved forest leaf element concentration data from the literature for
comparison[7]. The nutrient concentration of leaves in three
habitats with different substrate conditions was analyzed and the following
questions were addressed: (1) which elements are enriched or lacked in leaf in
different habitats? (2) differences in leaf nutrient concentrations and ratios
between different habitats?
2 Metadata of the Dataset
The metadata of the Dataset of foliar
element concentrations of plants from natural forests with different substrates
in southern China[8] is summarized in Table 1, including dataset
name, authors, year, data format, data size, data files, data publisher, and
data sharing policy, etc.
Table 1 Metadata
summary of the Dataset of foliar
element concentrations of plants from natural forests
with different substrates in southern China
Items
|
Description
|
Dataset full name
|
Dataset of foliar element concentrations of plants from
natural forests with different substrates in southern China
|
Dataset
short name
|
FoliarElementSouthernChina
|
Authors
|
Cui,
P. X., College of Forestry, Guangxi University, 870925644@qq.com
|
|
Cao,
K. F., College of Forestry, Guangxi University, kunfangcao@gxu.edu.cn
|
|
Tian,
S. Q., College of Forestry, Guangxi University, 869899632@qq.com
|
|
Fu, P. L., Xishuangbanna Tropical Botanical Garden,
Chinese Academy of Sciences, fpl@xtbg.org.cn
|
|
Bai,
K. D., Institute of Botancy of Guangxi Zhuang Autonomous Region and Chinese
Academy of Sciences, bkd008@126.com
|
|
Jiang, Y. J., Xishuangbanna Tropical Botanical Garden,
Chinese Academy of Sciences, jyj@xtbg.org.cn
|
Geographical region
|
Green
Stone Forest Park in Xishuangbanna, Yunnan, 101??16??53.54"E, 21??54??43.39"N; Nonggang National Nature
Reserve, Guangxi, 106??42??28"E-107??04??54"E, 22??13??56"E-22??39??09"N; Qinglangang Mangrove Nature
Reserve, Hainan, 110??30??E-110??02??E, 19??15??N-20??09??N
|
Year of sampling
|
2006,
2013, 2015
|
Data format
|
.xlsx
|
Data size
|
24
KB (20.7 KB after compression)
|
Data files
|
The
dataset consists of 1 compressed data file package, including 3 Excel data:
leaf element concentrations of 23 plant species in a tropical karst forest,
Xishuangbanna leaf element concentrations of 40 plant species in a tropical
karst forest of Nonggang National Nature Reserve
leaf
element concentrations of 12 plant species in Qinglangang Mangrove Nature
Reserve
|
Foundations
|
National
Natural Science Foundation of China (31670406); Key R & D projects of
Guangxi (Guike AB16380254); Guangxi Bagui scholar talent project
(C33600992001)
|
Data publisher
|
Global
Change Research Data Publishing & Repository, http://www.geodoi.ac.cn
|
Address
|
No.
11A, Datun Road, Chaoyang District, Beijing 100101, China
|
Data sharing policy
|
Data from
the Global Change Research Data Publishing & Repository includes metadata, datasets
(in the Digital Journal of Global Change Data Repository), and
publications (in the Journal of Global Change Data & Discovery). Data sharing policy
includes: (1) Data are openly available and can be free downloaded via the
Internet; (2) End users are encouraged to use Data subject to
citation; (3) Users, who are by definition also value-added service
providers, are welcome to redistribute Data subject to written permission
from the GCdataPR Editorial Office and the issuance of a Data redistribution
license; and (4) If Data are used to compile new
datasets, the ??ten per cent principal?? should be followed such that Data
records utilized should not surpass 10% of the new dataset contents, while
sources should be clearly noted in suitable places in the new dataset[9]
|
Communication
and
searchable
system
|
DOI, CSTR, Crossref, DCI,
CSCD, CNKI, SciEngine, WDS/ISC, GEOSS
|
3 Methods
3.1 Collection and
Determination
In this study, 23 species of 18 families in a tropical
karst forest in the greenstone Forest Park, Xishuangbanna Tropical Botanical
Garden, Yunnan province, 40 species of 17 families in a tropical karst forest
in the Nonggang Nature Reserve, and 12 mangrove species of 8 families in Qinglangang
Mangrove Nature Reserve in Hainan province were selected.
The fresh leaves were washed and dried in the air, and then
dried to constant weight at 100 ºC by oven. The
leaves were ground and crushed by automatic ball mill, and then passed through
60 mesh sieve for storage. The sample powder was digested with HNO3-HClO4,
acidolysis with hydrochloric acid and filtered. The concentrations of P, K, Ca,
Mg, S, Fe, Mn, B, Zn and Na were determined by inductively coupled plasma
emission spectrometer (ICP AES-iCAP6300, Thermo Fisher Scientific, MA, USA). Si
was determined by mass method, after acidolysis and filtration, the filter
paper and the residue are put into the crucible for drying at 105 ºC, and then transferred to the high temperature
furnace for burning at 800 ºC, cooling and
weighing.
Figure 1 The location map of the study sites
3.2 Statistical Analysis
IBM SPSS statistics 20 software was used to analyze the
data. One sample t test was used to analyze whether there was significant
difference between the ratio of elements to N in plant leaves and the national
level[10]. The data of ratio of C, Zn, B, Cu
and N were measured by the data of demand concentration of terrestrial higher
plants[11]. In order to improve the normality, logarithmic
transformation was used in the correlation analysis.
3.3 Technical Route
The
development process of Dataset of foliar element concentrations of plants from
natural forests with different substrates in southern China was shown in Figure
2.
Figure 2 The technical route of the analysis of
foliar element concentrations of plants from natural forests with different
substrates in southern China
|
4 Data Results and Validation
4.1 Data Products
The dataset consists of one compressed data file package, including three
Excel data files:
(1) Xishuangbanna Green Stone Forest Park plant leaf element concentration data
table, including C, N, P, K, Ca, Mg, Fe, Mn, Na, Zn, B elements, the format was
.xlsx and the data size was 13 KB.
(2) Nonggang National Nature Reserve plant leaf element concentration data table,
including N, P, K, Ca, Mg, Fe, S, Cu and Zn elements. The format was .xlsx and
the data size was 14 KB.
(3) Qinglangang Mangrove Nature Reserve plant leaf element
concentration data table, including C, N, P, K, Ca, Mg, Fe, Mn, Na, Zn, S and
Si. The data format is .xlsx and the data size is 11 KB.
4.2 Data Results
The results of this study were compared with the data of
leaf element concentration of evergreen broad-leaved forest plants from
literature[7]. The table of leaf element concentration and N ratio
of plants in different habitats was shown in literature [12]. The results were
as follows:
The leaves of karst forest plants in Xishuangbanna and
Nonggang were generally rich in Ca and Mg. Due to the difference of lithology,
the plants in Nonggang area with certain dolomite in substrate were rich in Mg,
K, Fe, Na and Zn were deficient in Karst Forest in Xishuangbanna; Due to the
particularity of dolomite mineral composition and slower weathering rate, the
concentrations of K, Zn and S in leaves of karst plants in Nonggang were
higher. Mangrove plants were rich in P, Ca, Mg, Na and S elements. A large
number of ions in the seawater environment enter into the soil and were
absorbed and utilized by plants, which improves the nutrient concentration of
mangroves. In the high salt environment, Na was enriched in leaves. Mangrove
plants were deficient in Fe, Si and Zn. The plants in subtropical evergreen
broad-leaved forest were greatly affected by acid soil, with a large enriched amount
of Mn deficient of P and Na. Compared with other habitats, the concentrations
of N, P, Ca and Mg in the subtropical evergreen broad-leaved forest were lower.
The N/P ratios of karst forest plants in Xishuangbanna and Nonggang were 14.27
and 18.26, respectively, indicating that the former was limited by both N and
P, while the latter was mainly limited by P. The N/P ratio of mangrove was
13.12, which was limited by N. The plants in the evergreen broad-leaved forest
were seriously deficient of P, and the N/P ratio was 26.27.
According to Table 2, there was a significant positive
correlation between N and P in leaves of plants on different substrates. This
stable synergistic relationship was a general rule for plants to adapt to the
environment. There was a positive correlation between Ca and Mg in Karst
forests and evergreen broad-leaved forest, but there was no correlation between
them in the mangrove forest. The analysis showed that Na salt stress increased
the absorption of Mg and changed the balance of Ca and Mg. There was a
synergetic relationship between N and K in mangrove and evergreen broad-leaved
forest, but the synergetic relationship between N and K was changed due to the
synergetic effect of Ca and Mg on K absorption in the karst environment. P and
Zn showed a synergistic relationship in karst forest and mangrove forest, which
was related to the two elements involved in enzyme synthesis in plant
metabolism. Mangrove plants showed antagonistic relationship between K and Mn,
but there was no correlation between these two elements in karst forest and
evergreen broad-leaved forest. There was a positive correlation between S and P
in Nonggang karst forest, which could help karst plants alleviate the symptoms
of P deficiency, but there was no correlation between them in the mangrove
plants with high P content.
Table 2 The correlation between leaf element
concentrations in different habitats
Correlation Element
|
Habitat
|
Fitting Equation
|
R2
|
N-P
|
Xishuangbanna Karst Forest
|
y =
0.7157x ?C 0.7573
|
0.450,6
|
Nonggang Karst Forest
|
y =
1.1043x ?C 1.3841
|
0.638,9
|
Mangrove
|
y =
0.8973x ?C 0.978
|
0.598,6
|
Broad-leaved Evergreen Forests
|
y =
1.3318x ?C 1.8027
|
0.594,1
|
Ca-Mg
|
Xishuangbanna Karst Forest
|
y =
0.4229x ?C 0.1494
|
0.482,4
|
Nonggang Karst Forest
|
y =
1.5674x ?C 1.3649
|
0.506,7
|
Mangrove
|
y =
?C0.0258x + 0.6868
|
0.002,0
|
Broad-leaved Evergreen Forests
|
y =
0.5073x ?C 0.2817
|
0.356,3
|
N-K
|
Xishuangbanna Karst Forest
|
y =
0.3133x + 0.4049
|
0.048,9
|
Nonggang Karst Forest
|
y =
0.4282x + 0.4813
|
0.062,0
|
Mangrove
|
y =
1.0472x ?C 0.2739
|
0.355,2
|
Broad-leaved Evergreen Forests
|
y =
1.0712x ?C 0.3315
|
0.348,6
|
P-Zn
|
Xishuangbanna Karst Forest
|
y =
0.5609x ?C 1.7635
|
0.176,3
|
Nonggang Karst Forest
|
y =
0.9394x ?C 1.2202
|
0.356,4
|
Mangrove
|
y =
0.9342x ?C 1.9231
|
0.469,8
|
K-Mn
|
Xishuangbanna Karst Forest
|
y =
?C0.4259x ?C 0.8155
|
0.027,2
|
Mangrove
|
y =
?C1.3747x + 0.249
|
0.473,3
|
Broad-leaved Evergreen Forests
|
y =
0.3125x ?C 0.5022
|
0.020,0
|
P-S
|
Nonggang Karst Forest
|
y =
0.7561x + 0.3312
|
0.622,2
|
Mangrove
|
y =
?C0.0743x + 0.5284
|
0.005,6
|
5 Discussion and Conclusion
In this study, the element data of plant leaves in three
habitats were compared with the data of 1,900 plant elements in China. It was
found that the abundance and deficiency characteristics of plant elements in
different habitats were different. The reasons for the differences include:
parent material of soil formation in karst forest[13], lithology
difference[14], slow soil formation rate[15]; The high
salt stress and the input of elements in seawater in the intertidal environment
of mangroves; Acid soil with low pH value in evergreen broad-leaved forest.
Through the correlation analysis of elements, it was found that the
quantitative relationship of elements in plant leaves in different habitats
changed, which was related to the nutrient supply in different soil substrates
and the physiological characteristics of plants.
Author Contributions
Cao, K.
F. designed the algorithms of dataset; Tian, S. Q., Fu, P. L., Bai, K. D., Jiang,
Y. J. collected samples and measured data; Cui, P. X. contributed to the data
analysis and wrote the data paper.
Conflicts
of Interest
The authors declare no
conflicts of interest.
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