Xinjiang Agricultural Sciences ›› 2022, Vol. 59 ›› Issue (10): 2574-2584.DOI: 10.6048/j.issn.1001-4330.2022.10.027
• Plant Protection·Microbes·Agroecological Environment·Animal Husbandry Veterinarian • Previous Articles Next Articles
CHEN Yudong(), LV Guanghui(), ZHANG Lei, JIANG Lamei, WANG Hengfang
Received:
2021-12-13
Online:
2022-10-20
Published:
2022-12-21
Correspondence author:
LV Guanghui
Supported by:
通讯作者:
吕光辉
作者简介:
陈昱东(1994- ),男,吉林长春人,硕士研究生,研究方向为生物多样性,(E-mail) 1105535344@qq.com
基金资助:
CLC Number:
CHEN Yudong, LV Guanghui, ZHANG Lei, JIANG Lamei, WANG Hengfang. Effects of Functional Traits of Desert Plants on Biomass in Arid Regions with Different Soil Water-Salt Gradients[J]. Xinjiang Agricultural Sciences, 2022, 59(10): 2574-2584.
陈昱东, 吕光辉, 张磊, 蒋腊梅, 王恒方. 荒漠植物功能性状和生物量对土壤水盐环境的响应[J]. 新疆农业科学, 2022, 59(10): 2574-2584.
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URL: http://www.xjnykx.com/EN/10.6048/j.issn.1001-4330.2022.10.027
序号 Id | 植物种类 Species | 科属 Family and genera | 生活型 Life form | 序号 Id | 植物种类 Species | 科属 Family and genera | 生活型 Life form |
---|---|---|---|---|---|---|---|
1 | 碱蓬 Suaeda glauca | 藜科 碱蓬属 | 草本 | 10 | 沙蓬 Agriophyllum squarrosum | 藜科 沙蓬属 | 草本 |
2 | 花花柴 Karelinia caspia | 菊科 花花柴属 | 草本 | 11 | 草甸羊茅 Festuca pratensis | 禾本科 羊茅属 | 草本 |
3 | 小獐毛 Aeluropus pungens | 禾本科 獐毛属 | 草本 | 12 | 罗布麻 Apocynum venetum | 夹竹桃科 罗布麻属 | 灌木 |
4 | 乳苣 Mulgedium tataricum | 菊科 乳苣属 | 草本 | 13 | 骆驼刺 Alhagi sparsifolia | 豆科 骆驼刺属 | 灌木 |
5 | 对节刺 Horaninowia ulicina | 藜科 对节刺属 | 草本 | 14 | 盐爪爪 Kalidium foliatum | 藜科 盐爪爪属 | 灌木 |
6 | 芦苇 Phragmites australis | 禾本科 芦苇属 | 草本 | 15 | 白刺 Nitraria tangutorum | 蒺藜科 白刺属 | 灌木 |
7 | 新疆绢蒿 Seriphidium santolinum | 菊科 绢蒿属 | 草本 | 16 | 琵琶柴 Reaumuria soongarica | 柽柳科 琵琶柴属 | 灌木 |
8 | 猪毛菜 Salsola collina | 藜科 猪毛菜属 | 草本 | 17 | 沙拐枣 Calligonum mongolicum | 蓼科 沙拐枣属 | 灌木 |
9 | 刺沙蓬 Salsola ruthenica | 藜科 猪毛菜属 | 草本 |
Table 1 List of plant samples
序号 Id | 植物种类 Species | 科属 Family and genera | 生活型 Life form | 序号 Id | 植物种类 Species | 科属 Family and genera | 生活型 Life form |
---|---|---|---|---|---|---|---|
1 | 碱蓬 Suaeda glauca | 藜科 碱蓬属 | 草本 | 10 | 沙蓬 Agriophyllum squarrosum | 藜科 沙蓬属 | 草本 |
2 | 花花柴 Karelinia caspia | 菊科 花花柴属 | 草本 | 11 | 草甸羊茅 Festuca pratensis | 禾本科 羊茅属 | 草本 |
3 | 小獐毛 Aeluropus pungens | 禾本科 獐毛属 | 草本 | 12 | 罗布麻 Apocynum venetum | 夹竹桃科 罗布麻属 | 灌木 |
4 | 乳苣 Mulgedium tataricum | 菊科 乳苣属 | 草本 | 13 | 骆驼刺 Alhagi sparsifolia | 豆科 骆驼刺属 | 灌木 |
5 | 对节刺 Horaninowia ulicina | 藜科 对节刺属 | 草本 | 14 | 盐爪爪 Kalidium foliatum | 藜科 盐爪爪属 | 灌木 |
6 | 芦苇 Phragmites australis | 禾本科 芦苇属 | 草本 | 15 | 白刺 Nitraria tangutorum | 蒺藜科 白刺属 | 灌木 |
7 | 新疆绢蒿 Seriphidium santolinum | 菊科 绢蒿属 | 草本 | 16 | 琵琶柴 Reaumuria soongarica | 柽柳科 琵琶柴属 | 灌木 |
8 | 猪毛菜 Salsola collina | 藜科 猪毛菜属 | 草本 | 17 | 沙拐枣 Calligonum mongolicum | 蓼科 沙拐枣属 | 灌木 |
9 | 刺沙蓬 Salsola ruthenica | 藜科 猪毛菜属 | 草本 |
植物功能性状指标Functional traits | 缩写Abbreviation | 计算公式及单位Formula and unit |
---|---|---|
植株高度Height | H | cm |
冠幅面积Crown area | S | S(cm2)=π×H×L÷4 |
比叶面积Specific leaf area | SLA | SLA(m2/kg)=叶面(m2)/叶片干重(kg) |
干物质含量Leaf dry matter content | LDMC | LDMC(g/kg)=叶片干(g)/叶鲜重(kg) |
叶片碳含量Leaf carbon content | LCC | LCC(g/kg)=叶片全氮(g)/叶片干重(kg) |
叶片氮含量Leaf nitrogen content | LNC | LNC(g/kg)=叶片全氮(g)/叶片干重(kg) |
叶片磷含量Leaf phosphorus content | LPC | LNC(g/kg)=叶片全氮(g)/叶片干重(kg) |
Table 2 The selected plant functional traits and ecological meaning
植物功能性状指标Functional traits | 缩写Abbreviation | 计算公式及单位Formula and unit |
---|---|---|
植株高度Height | H | cm |
冠幅面积Crown area | S | S(cm2)=π×H×L÷4 |
比叶面积Specific leaf area | SLA | SLA(m2/kg)=叶面(m2)/叶片干重(kg) |
干物质含量Leaf dry matter content | LDMC | LDMC(g/kg)=叶片干(g)/叶鲜重(kg) |
叶片碳含量Leaf carbon content | LCC | LCC(g/kg)=叶片全氮(g)/叶片干重(kg) |
叶片氮含量Leaf nitrogen content | LNC | LNC(g/kg)=叶片全氮(g)/叶片干重(kg) |
叶片磷含量Leaf phosphorus content | LPC | LNC(g/kg)=叶片全氮(g)/叶片干重(kg) |
样地 Plots | 样本数 Number | 样地编码 Plots Number | 土壤含水量 Soil moisture content(%) | 土壤含盐量 Soil salt content(%) |
---|---|---|---|---|
高水高盐 High water - salt gradient | 11 | H | 6.075 ± 1.243a | 3.659 ± 1.161a |
中水中盐 Water - salt gradient in medium | 28 | M | 2.788 ± 0.667b | 3.347 ± 0.942b |
低水低盐 Low water - salt gradient | 81 | L | 1.245 ± 0.452c | 2.026 ± 0.535c |
Table 3 Results of soil water-salt clustering in the sample
样地 Plots | 样本数 Number | 样地编码 Plots Number | 土壤含水量 Soil moisture content(%) | 土壤含盐量 Soil salt content(%) |
---|---|---|---|---|
高水高盐 High water - salt gradient | 11 | H | 6.075 ± 1.243a | 3.659 ± 1.161a |
中水中盐 Water - salt gradient in medium | 28 | M | 2.788 ± 0.667b | 3.347 ± 0.942b |
低水低盐 Low water - salt gradient | 81 | L | 1.245 ± 0.452c | 2.026 ± 0.535c |
Fig.4 Biplots of RDA between plant community leaf functional traits and soil water-salt gradient Note:A. High water - salt gradient; B. Water - salt gradient in medium; C. Low water - salt gradient
水盐梯度 Gradient of water-salt | 生物量 Biomass (g/m2) | 性状 Trait | 估计值 Estimated value | 误差平方和 Std.Error | t | P |
---|---|---|---|---|---|---|
高水高盐 High water - salt gradient | AGB | S | 0.118 | 0.016 | 7.306 | 0.000 |
常数项 | 31.267 | 8.495 | 3.680 | 0.006 | ||
模型 | AGB = 0.118S+31.267 P=0.000 R2=0.870 | |||||
BGB | S | 0.053 | 0.016 | 3.385 | 0.010 | |
常数项 | 15.754 | 8.155 | 1.932 | 0.089 | ||
模型 | BGB = 0.053S+15.754 P=0.010 R2=0.589 | |||||
中水中盐 Water - salt gradient in medium | AGB | S | 0.067 | 0.022 | 3.078 | 0.005 |
常数项 | 57.162 | 9.824 | 5.818 | 0.000 | ||
模型 | AGB = 0.067S+57.162 P=0.005 R2=0.267 | |||||
BGB | S | 0.142 | 0.044 | 3.227 | 0.003 | |
H | -5.073 | 2.377 | -2.134 | 0.043 | ||
常数项 | 82.937 | 30.089 | 2.756 | 0.011 | ||
模型 | BGB = 0.142S-5.073H+82.937 P=0.043 R2=0.447 | |||||
低水低盐 Low water - salt gradient | AGB | S | 0.114 | 0.013 | 9.151 | 0.000 |
LCC | -0.397 | 0.090 | -4.401 | 0.000 | ||
SLA | -0.921 | 0.314 | -2.930 | 0.004 | ||
常数项 | 178.264 | 22.519 | 7.916 | 0.000 | ||
模型 | AGB = 0.114S-0.397LCC-0.921SLA+178.264 P=0.000 R2=0.555 | |||||
BGB | S | 0.034 | 0.006 | 5.444 | 0.000 | |
SLA | -0.403 | 0.161 | -2.505 | 0.014 | ||
LDMC | -67.117 | 30.719 | -2.185 | 0.032 | ||
常数项 | 50.264 | 11.291 | 4.452 | 0.000 | ||
模型 | BGB = 0.034S-0.403SLA-67.117LDMC+50.264 P=0.032 R2=0.308 |
Table 4 Multiple regression model of functional traits and biomass of desert plants under soil water-salt gradient
水盐梯度 Gradient of water-salt | 生物量 Biomass (g/m2) | 性状 Trait | 估计值 Estimated value | 误差平方和 Std.Error | t | P |
---|---|---|---|---|---|---|
高水高盐 High water - salt gradient | AGB | S | 0.118 | 0.016 | 7.306 | 0.000 |
常数项 | 31.267 | 8.495 | 3.680 | 0.006 | ||
模型 | AGB = 0.118S+31.267 P=0.000 R2=0.870 | |||||
BGB | S | 0.053 | 0.016 | 3.385 | 0.010 | |
常数项 | 15.754 | 8.155 | 1.932 | 0.089 | ||
模型 | BGB = 0.053S+15.754 P=0.010 R2=0.589 | |||||
中水中盐 Water - salt gradient in medium | AGB | S | 0.067 | 0.022 | 3.078 | 0.005 |
常数项 | 57.162 | 9.824 | 5.818 | 0.000 | ||
模型 | AGB = 0.067S+57.162 P=0.005 R2=0.267 | |||||
BGB | S | 0.142 | 0.044 | 3.227 | 0.003 | |
H | -5.073 | 2.377 | -2.134 | 0.043 | ||
常数项 | 82.937 | 30.089 | 2.756 | 0.011 | ||
模型 | BGB = 0.142S-5.073H+82.937 P=0.043 R2=0.447 | |||||
低水低盐 Low water - salt gradient | AGB | S | 0.114 | 0.013 | 9.151 | 0.000 |
LCC | -0.397 | 0.090 | -4.401 | 0.000 | ||
SLA | -0.921 | 0.314 | -2.930 | 0.004 | ||
常数项 | 178.264 | 22.519 | 7.916 | 0.000 | ||
模型 | AGB = 0.114S-0.397LCC-0.921SLA+178.264 P=0.000 R2=0.555 | |||||
BGB | S | 0.034 | 0.006 | 5.444 | 0.000 | |
SLA | -0.403 | 0.161 | -2.505 | 0.014 | ||
LDMC | -67.117 | 30.719 | -2.185 | 0.032 | ||
常数项 | 50.264 | 11.291 | 4.452 | 0.000 | ||
模型 | BGB = 0.034S-0.403SLA-67.117LDMC+50.264 P=0.032 R2=0.308 |
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