呼伦贝尔沙地樟子松枯落物和土壤碳、氮、磷化学计量特征

doi:10.13866/j.azr.2024.08.09

干旱区研究 ›› 2024, Vol. 41 ›› Issue (8): 1354-1363.doi: 10.13866/j.azr.2024.08.09

呼伦贝尔沙地樟子松枯落物和土壤碳、氮、磷化学计量特征

董鹏¹(), 任悦¹, 高广磊¹^,²^,³^,⁴^,⁵(), 丁国栋¹^,³^,⁴^,⁵, 张英¹^,³^,⁴^,⁵

1.北京林业大学水土保持学院，北京 100083
2.林木资源高效生产全国重点实验室，北京 100083
3.宁夏盐池毛乌素沙地生态系统国家定位观测研究站，宁夏盐池 751500
4.林业生态工程教育部工程研究中心，北京 100083
5.水土保持国家林业和草原局重点实验室，北京 100083

收稿日期:2024-01-10 修回日期:2024-05-27 出版日期:2024-08-15 发布日期:2024-08-22
通讯作者: 高广磊. E-mail: gaoguanglei@bjfu.edu.cn
作者简介:董鹏（1997-），硕士研究生，主要研究方向为荒漠生态学. E-mail: DDB820650@bjfu.edu.cn
基金资助:
国家自然科学基金项目“樟子松人工林土壤-根际-根内真菌群落构建机制”(32371962)

Stoichiometry of carbon, nitrogen, and phosphorus in the litter and soil of Pinus sylvestris var. mongolica in the Hulunbuir Sandy Land

DONG Peng¹(), REN Yue¹, GAO Guanglei¹^,²^,³^,⁴^,⁵(), DING Guodong¹^,³^,⁴^,⁵, ZHANG Ying¹^,³^,⁴^,⁵

1. School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2. National Key Laboratory for Efficient Production of Forest Resources, Beijing 100083, China
3. Yanchi Ecology Research Station of the Mu Us Desert, Yanchi 751500, Ningxia, China
4. Engineering Research Center of Forestry Ecological Engineering, Beijing 100083, China
5. Key Laboratory of State Forestry and Grassland Administration on Soil and Water Conservation, Beijing 100083, China

Received:2024-01-10 Revised:2024-05-27 Published:2024-08-15 Online:2024-08-22

摘要/Abstract

摘要：

为了揭示呼伦贝尔沙地樟子松（Pinus sylvestris var. mongolica）枯落物和土壤C、N、P化学计量特征及其主要驱动因素。以不同龄组（中龄林、近熟林、成熟林）樟子松人工林和天然林为研究对象，分析枯落物和土壤C、N、P化学计量特征，并探究其与土壤因子间的相关关系。结果表明:（1）分解程度显著影响枯落物C、N、P和C:N（P<0.05），土层显著影响土壤N、C:N、C:P（P<0.05），林龄及其与分解程度、土层的交互作用对枯落物和土壤C、N、P化学计量特征无显著影响（P>0.05）。天然林与人工林枯落物和土壤C、N含量和C:P、N:P存在显著差异（P<0.05）。（2）枯落物C含量与枯落物N、P含量呈显著正相关（P<0.05），枯落物C:P与C:N呈显著正相关（P<0.05）；土壤C:P与土壤N:P、C:N呈显著正相关（P<0.05）。（3）枯落物C、N、P化学计量特征主要受pH、磷酸酶和脲酶的显著影响（P<0.05），土壤C、N、P化学计量特征主要受pH、磷酸酶和转化酶的显著影响（P<0.05）。呼伦贝尔沙地樟子松林生长可能受氮限制，而枯落物分解可能受磷限制；枯落物和土壤C、N、P化学计量特征的主要驱动因子分别为pH和磷酸酶。研究结果对樟子松人工林经营管理具有指导意义。

关键词: 樟子松, 生态化学计量, 枯落物, 土壤, 林龄, 呼伦贝尔沙地

Abstract:

To reveal the characteristics of litter and soil C, N, and P stoichiometry and their main driving factors in the Hulunbuir Sandy Land. Different ages of Pinus sylvestris var. mongolica plantation forests and natural forests (medium-mature, near-mature, and mature forests) were used as research subjects to analyze the characteristics of litter and soil C, N, and P stoichiometry and their correlation with soil factors was explored. (1) The degree of decomposition significantly affected litter C, N, P, and the C:N ratio (P<0.05) and the soil layer significantly affected soil N and C:N and C:P ratios (P<0.05); however, the stand age of the forest and its interactions with the degree of decomposition and soil layer did not have a significant effect on litter and soil C, N, and P stoichiometric characteristics (P>0.05). There were significant differences (P<0.05) between natural and plantation forests in litter and soil relating to C and N contents and C:P and N:P ratios. (2) Litter C content was significantly and positively correlated with litter N and P content (P<0.05), and the litter C:P ratio was significantly and positively correlated with the C:N ratio (P<0.05); the soil C:P ratio was significantly and positively correlated with the soil N:P and C:N ratios (P<0.05). (3) The C, N, and P stoichiometric characteristics of litter were mainly significantly affected by pH, phosphatase, and urease (P<0.05), and the soil C, N and P stoichiometric characteristics were mainly significantly affected by pH, phosphatase, and convertase (P<0.05). The growth of P. sylvestris var. mongolica forest in the Hulunbuir Sandy Land may be limited by nitrogen, whereas the decomposition of litter may be limited by phosphorus; the main drivers of litter and soil C, N, and P stoichiometric characteristics were pH and phosphatase, respectively. This improved information is of great significance for guiding the management of P. sylvestris var. mongolica forests.

Key words: Pinus sylvestris var. mongolica, ecological stoichiometry, litter, soil, stand age, Hulunbuir Sandy Land

董鹏, 任悦, 高广磊, 丁国栋, 张英. 呼伦贝尔沙地樟子松枯落物和土壤碳、氮、磷化学计量特征[J]. 干旱区研究, 2024, 41(8): 1354-1363.

DONG Peng, REN Yue, GAO Guanglei, DING Guodong, ZHANG Ying. Stoichiometry of carbon, nitrogen, and phosphorus in the litter and soil of Pinus sylvestris var. mongolica in the Hulunbuir Sandy Land[J]. Arid Zone Research, 2024, 41(8): 1354-1363.

图/表 9

表1

表2

表3

表4

图1

图2

图3

图4

表5

参考文献 43

[1]	Wu G L, Gao J, Li H L, et al. Shifts in plant and soil C, N, and P concentrations and C:N:P stoichiometry associated with environmental factors in alpine marshy wetlands in West China[J]. Catena, 2023, 221: 106801.
[2]	Ewa B, Wojciech P, Jarosław L. Patterns and driving factors of ecological stoichiometry in system of deadwood and soil in mountains forest ecosystem[J]. Scientific Reports, 2023, 13(1): 5676.
[3]	Zhao F Z, Sun J, Ren C J, et al. Land use change influences soil C, N and P stoichiometry under Grain-to-Green Program in China[J]. Scientific Reports, 2015, 5: 10195.
[4]	Cao Y N, Tong R, Tan Q, et al. Flooding influences on the C, N and P stoichiometry in terrestrial ecosystems: A meta-analysis[J]. Catena, 2022, 215: 106287.
[5]	柳叶, 任悦, 高广磊, 等. 沙地樟子松人工林土壤碳氮磷储量分布特征[J]. 中国水土保持科学(中英文), 2021, 19(6): 27-34.
	[ Liu Ye, Ren Yue, Gao Guanglei, et al. Distribution characteristics of soil carbon, nitrogen and phosphorus storage in Pinus sylvestris var. mongolica plantations[J]. Science of Soil and Water Conservation, 2021, 19(6): 27-34. ]
[6]	Wu X, Wang X Y, Wang P Q, et al. Effects of groundwater depth on ecological stoichiometric characteristics of assimilated branches and soil of two desert plants[J]. Frontiers in Plant Science, 2023, 14: 1225907.
[7]	白丽丽, 王文颖, 德却拉姆, 等. 祁连山典型植被土壤碳、氮、磷含量及生态化学计量特征的垂直变化[J]. 干旱区研究, 2024, 41(3): 444-455.
	[ Bai Lili, Wang Wenying, Dechoram, et al. Elevational variations in ecological soil C, N, and P stoichiometry among five typical vegetation types in the Qilian Mountains[J]. Arid Zone Research, 2024, 41(3): 444-455. ]
[8]	马鑫钰, 贡璐, 朱海强, 等. 不同碳输入对天山雪岭云杉林土壤化学计量特征的影响[J]. 环境科学, 2023, 44(5): 2715-2723.
	[ Ma Xingyu, Gong Lu, Zhu Haiqiang, et al. Effects of different carbon inputs on soil stoichiometry in Tianshan Mountains[J]. Environmental Science, 2023, 44(5): 2715-2723. ]
[9]	Yao W, Yi Z, Yan L, et al. Spatial prediction models for soil stoichiometry in complex terrains: A case study of schrenk's spruce forest in the tianshan mountains[J]. Forests, 2022, 13(9): 1407.
[10]	Sunjeoung L, Seunghyun L, Joonghoon S, et al. Assessing the carbon storage of soil and litter from national forest inventory data in South Korea[J]. Forests, 2020, 11(12): 1318.
[11]	李敏, 孙杰, 陈雪, 等. 荒漠植物叶片-土壤化学计量及植物内稳态特征[J]. 干旱区研究, 2024, 41(1): 104-113.
	[ Li Min, Sun Jie, Chen Xue, et al. Leaf-soil stoichiometry and homeostasis characteristics of desert-related plants[J]. Arid Zone Research, 2024, 41(1): 104-113. ]
[12]	Rong Q Q, Liu J T, Cai Y P, et al. Leaf carbon, nitrogen and phosphorus stoichiometry of Tamarix hinensis lour in the Laizhou Stal Wetland, China[J]. Ecological Engineering, 2015, 76: 57-65.
[13]	丁钰珮, 杜宇佳, 高广磊, 等. 呼伦贝尔沙地樟子松人工林土壤细菌群落结构与功能预测[J]. 生态学报, 2021, 41(10): 4131-4139.
	[ Ding Yupei, Du Yujia, Gao Guanglei, et al. Soil bacterial community structure and functional prediction of Pinus sylvestris var. mongolica plantations in Hulun Buir Sandy Land[J]. Acta Ecologica Sinica, 2021, 41(10): 4131-4139. ]
[14]	Ratnam J, Sankaran M, Hanan N P, et al. Nutrient resorption patterns of plant functional groups in a tropical savanna: variation and functional significance[J]. Oecologia, 2008, 157(1): 141-151. doi: 10.1007/s00442-008-1047-5 pmid: 18488252
[15]	Antonieta G, Cátia V, Paulo J S, et al. Soil pH influences the toxicity of Basamid eluates to non-target species of primary consumers[J]. Aquatic Toxicology, 2023, 264: 106726.
[16]	袁萍, 韩欢, 赵红梅, 等. 裸露与沙埋对极端干旱区凋落物分解和养分释放的影响[J]. 干旱区研究, 2024, 41(2): 293-300.
	[ Yuan Ping, Han Huan, Zhao Hongmei, et al. Effects of bare versus sand burial on the decomposition and nutrient release of apophyges in extremely arid zones[J]. Arid Zone Research, 2024, 41(2): 293-300. ]
[17]	Sedel’nikova T S, Pimenov A V, Efremov S P. Karyological study of an isolated scots pine (Pinus sylvestris) population in Shirinskaya steppe of the Republic of Khakassia[J]. Biology Bulletin, 2023, 50(5): 901-911.
[18]	任悦, 高广磊, 丁国栋, 等. 沙地樟子松人工林叶片-枯落物-土壤有机碳含量特征[J]. 北京林业大学学报, 2018, 40(7): 36-44.
	[ Ren Yue, Gao Guanglei, Ding Guodong, et al. Characteristics of organic carbon content of leaf-litter-soil system in Pinus sylvestris var. mongolica plantations[J]. Journal of Beijing Forestry University, 2018, 40(7): 36-44. ]
[19]	牛进松, 刘小粉, SeMyung K, 等. 呼伦贝尔沙地樟子松生产力及其对气候因子的响应[J]. 林业科学研究, 2022, 35(3): 141-150.
	[ Niu Jinsong, Liu Xiaofen, SeMyung K, et al. Productivity of Mongolian pine (Pinus sylvestris var. mongolica) and its response to climate change in Hulunbuir Sandy Land[J]. Forest Research, 2022, 35(3): 141-150. ]
[20]	周宏力, 王磊, 李玉春. 红花尔基保护区黑琴鸡越冬初期生境选择[J]. 东北林业大学学报, 2010, 38(12): 51-53.
	[ Zhou Hongli, Wang Lei, Li Yuchun. Habitat selection by black grouse during early winter in Honghuaerji Nature Reserve[J]. Journal of Northeast Forestry University, 2010, 38(12): 51-53. ]
[21]	马寰菲, 解梦怡, 胡汗, 等. 秦岭不同海拔森林土壤-植物-凋落物化学计量特征对土壤氮组分的影响[J]. 生态学杂志, 2020, 39(3): 749-757.
	[ Ma Huanfei, Xie Mengyi, Hu Han, et al. Effects of stoichiometric characteristics of soil-plant-litter on soil nitrogen components in different forests along an elevational gradient of Qinling Mountains[J]. Chinese Journal of Ecology, 2020, 39(3): 749-757. ]
[22]	王飞, 秦方锦, 吴丹亚, 等. 土壤有机质和有机碳含量计算方法比较研究[J]. 农学学报, 2015, 5(3): 54-58. doi: 10.11923/j.issn.2095-4050.2014-xb0698
	[ Wang Fei, Qin Fangjin, Wu Danya, et al. Comparative study on the calculation method of soil organic matter and organic carbon[J]. Journal of Agriculture, 2015, 5(3): 54-58. ] doi: 10.11923/j.issn.2095-4050.2014-xb0698
[23]	Manzoni S, Trofymow J A, Jackson R B, et al. Stoichiometric controls on carbon, nitrogen, and phosphorus dynamics in decomposing litter[J]. Ecological Monographs, 2010, 80: 89-106.
[24]	Ge J, Xie Z. Leaf litter carbon, nitrogen, and phosphorus stoichiometric patterns as related to climatic factors and leaf habits across Chinese broad-leaved tree species[J]. Plant Ecology, 2017, 218(9): 1063-1076.
[25]	Han W X, Fang J Y, Guo D L, et al. Leaf nitrogen and phosphorus stoichiometry across 753 terrestrial plant species in China[J]. New Phytologist, 2005, 168(2): 377-385. doi: 10.1111/j.1469-8137.2005.01530.x pmid: 16219077
[26]	张晓鹏, 潘开文, 王进闯, 等. 栲-木荷林凋落叶混合分解对土壤有机碳的影响[J]. 生态学报, 2011, 31(6): 1582-1593.
	[ Zhang Xiaopeng, Pan Kaiwen, Wang Jinchuang, et al. Effects of decomposition of mixed leaf litters of the Castanopsis platyacantha-Schima sinensis forest on soil organic carbon[J]. Acta Ecologica Sinica, 2011, 31(6): 1582-1593. ]
[27]	Maeda Y, Tashiro N, Enoki T, et al. Effects of species replacement on the relationship between net primary production and soil nitrogen availability along a topographical gradient: Comparison of belowground allocation and nitrogen use efficiency between natural forests and plantations[J]. Forest Ecology and Management, 2018, 422: 214-222.
[28]	黄丽, 范兴科. 磷肥和钾肥不同配施方式对其养分在土壤中迁移的影响[J]. 水土保持学报, 2018, 32(2): 184-190.
	[ Huang Li, Fan Xingke. The effects of phosphate and potash fertilizers in diffierent facilities on soil nutrient migration[J]. Journal of Soil and Water Conservation, 2018, 32(2): 184-190. ]
[29]	董雪, 辛智鸣, 黄雅茹, 等. 乌兰布和沙漠典型灌木群落土壤化学计量特征[J]. 生态学报, 2019, 39(17): 6247-6256.
	[ Dong Xue, Xin Zhiming, Huang Yaru, et al. Soil stoichiometry in typical shrub communities in the Ulan Buh Desert[J]. Acta Ecologica Sinica, 2019, 39(17): 6247-6256. ]
[30]	Silva D, Ramos W, Fracetto, et al. The stabilization method of sewage sludge affects soil microbial attributes and boosts soil P content and maize yield in a sludge-amended soil in the field[J]. Journal of Soil Science and Plant Nutrition, 2022, 22(2): 1-10.
[31]	王亚东, 魏江生, 周梅, 等. 大兴安岭南段杨桦次生林土壤化学计量特征[J]. 土壤通报, 2020, 51(5): 1056-1064.
	[ Wang Yadong, Wei Jiangsheng, Zhou Mei, et al. Soil stoichiometric characteristics in the poplar and birch secondary forests in the southern Greater Xing’an Mountains[J]. Chinese Journal of Soil Science, 2020, 51(5): 1056-1064. ]
[32]	Tian H Q, Chen G S, Zhang C, et al. Pattern and variation of C: N: P ratios in China’s soils: A synthesis of observational data[J]. Biogeochemistry, 2010, 98(1/3): 139-151.
[33]	王才广, 朱亮, 黄亮亮, 等. 北部湾鱼类碳、氮、磷生态化学计量特征[J]. 生态学报, 2023, 43(10): 4226-4241.
	[ Wang Caiguang, Zhu Liang, Huang Liangliang, et al. Ecological stoichiometry characteristics of carbon, nitrogen and phosphorus in fishes from Beibu Gulf, southern China[J]. Acta Ecologica Sinica, 2023, 43(10): 4226-4241. ]
[34]	刘文兰, 孙学刚, 焦健, 等. 黄河兰州段湿地土壤与甘蒙柽柳叶片碳氮磷生态化学计量特征[J]. 北京林业大学学报, 2023, 45(6): 43-51.
	[ Liu Wenlan, Sun Xuegang, Jiao Jian, et al. Ecological stoichiometric characteristics of carbon, nitrogen and phosphorus in the soil and leaves of Tamarix austromongolica of the wetland in Lanzhou section of the Yellow River[J]. Journal of Beijing Forestry University, 2023, 45(6): 43-51. ]
[35]	孙力, 贡璐, 朱美玲, 等. 塔里木盆地北缘荒漠典型植物叶片化学计量特征及其与土壤环境因子的关系[J]. 生态学杂志, 2017, 36(5): 1208-1214.
	[ Sun Li, Gong Lu, Zhu Meiling, et al. Leaf stoichiometric characteristics of typical desert plants and their relationships to soil environmental factors in the northern margin of the Tarin Basin[J]. Chinese Journal of Ecology, 2017, 36(5): 1208-1214. ]
[36]	万红云, 陈林, 庞丹波, 等. 贺兰山不同海拔土壤酶活性及其化学计量特征[J]. 应用生态学报, 2021, 32(9): 3045-3052. doi: 10.13287/j.1001-9332.202109.021
	[ Wan Hongyun, Chen Lin, Pang Danbo, et al. Soil enzyme activities and their stoichiometry at different altitudes in Helan Mountains,Northwest China[J]. Chinese Journal of Applied Ecology, 2021, 32(9): 3045-3052. ] doi: 10.13287/j.1001-9332.202109.021
[37]	马任甜, 方瑛, 安韶山, 等. 黑岱沟露天煤矿优势植物叶片及枯落物生态化学计量特征[J]. 土壤学报, 2016, 53(4): 1003-1014.
	[ Ma Rentian, Fang Ying, An Shaoshan, et al. Ecological stoichiometric characteristics of leaves and litter of plants dominant in Heidaigou Opencast Coal Mining Area[J]. Acta Pedologica Sinica, 2016, 53(4): 1003-1014. ]
[38]	陈培云, 范弢, 何停, 等. 滇东岩溶高原不同恢复阶段云南松林叶片-枯落物-土壤碳氮磷化学计量特征[J]. 应用与环境生物学报, 2022, 28(6): 1549-1556.
	[ Chen Peiyun, Fan Tao, He Ting, et al. Stoichiometric characteristics of carbon, nitrogen, and phosphorus in leaf litter soil of Pinus yunnanensis forest during different restoration stages in the karst plateau of eastern Yunnan[J]. Chinese Journal of Applied and Environmental Biology, 2022, 28(6): 1549-1556. ]
[39]	郭彬, 高水练, 王苗苗, 等. 盆栽条件下茶园土壤pH值、养分和酶活性对茶树修剪枝与大豆交互作用的响应[J]. 生态学杂志, 2021, 40(11): 3561-3569.
	[ Guo Bin, Gao Shuilian, Wang Miaomiao, et al. Responses of soil pH, nutrients, and enzyme activities to interaction between pruned tea branches and soybean under pot culture[J]. Chinese Journal of Ecology, 2021, 40(11): 3561-3569. ] doi: DOI: 10.13292/j.1000-4890.202111.035
[40]	蒋倩, 何淑勤, 宫渊波. 不同植被类型枯落物养分特征及其潜在归还能力[J]. 干旱区资源与环境, 2020, 34(4): 142-147.
	[ Jiang Qian, He Shuqin, Gong Yuanbo. Nutrient characteristics and potential returning capacity of litters in different vegetation types[J]. Journal of Arid Land Resources and Environment, 2020, 34(4): 142-147. ]
[41]	侍世玲, 任晓萌, 张晓伟, 等. 库布齐沙漠沙枣防护林土壤养分及化学计量特征[J]. 干旱区研究, 2022, 39(2): 469-476.
	[ Shi Shiling, Ren Xiaomeng, Zhang Xiaowei, et al. Soil nutrients and stoichiometric characteristics of the Elaeagnus angustifolia shelterbelt in the Hobq Desert[J]. Arid Zone Research, 2022, 39(2): 469-476. ]
[42]	王宏生, 王玉琴, 宋梅玲, 等. 黄帚橐吾不同密度斑块植物、土壤和微生物碳氮磷生态化学计量特征[J]. 生态学报, 2024, 44(10): 4297-4307.
	[ Wang Hongsheng, Wang Yuqin, Song Meiling, et al. Carbon,nitrogen and phosphorus stoichiometric characteristics of plants,soils and microbial biomass in patches with different densities of Ligularia virgaurea[J]. Acta Ecologica Sinica, 2024, 44(10): 4297-4307. ]
[43]	谢杨阳, 刘旭阳, 金强, 等. 福州东湖湿地不同生境土壤碳氮磷及其生态化学计量比特征[J]. 中国水土保持科学(中英文), 2023, 21(4): 79-90.
	[ Xie Yangyang, Liu Xuyang, Jin Qiang, et al. Characteristics of soil carbon, nitrogen and phosphorus and their ecological stoichiometric ratios in different habitats of East Lake Wetland, Fuzhou[J]. Science of Soil and Water Conservation, 2023, 21(4): 79-90. ]

样地	林龄/a	胸径/cm	树高/m	林分密度/（株·hm^-2）	郁闭度
天然林（NF）	10~60	23.69±3.87	10.12±0.73	-	0.83
中龄林（HBh）	29	12.86±1.32	16.96±2.57	1650	0.77
近熟林（HBn）	38	13.93±1.64	22.37±1.98	1650	0.86
成熟林（HBm）	47	14.29±1.58	25.51±2.15	1650	0.76

		半分解		分解
		F	P	F	P
枯落物	C	17.576	0.002	8.164	0.778
	N	10.85	0.024	7.397	0.171
	P	8.096	0.068	8.556	0.026
	C:N	6.243	0.243	9.463	0.067
	C:P	17.983	0.072	17.349	0.001
	N:P	6.997	0.521	8.008	0.088

		0~20 cm		20~40 cm
		F	P	F	P
土壤	C	17.972	0.029	6.52	0.004
	N	16.364	0.795	6.922	0.002
	P	5.604	0.411	6.248	0.236
	C:N	15.789	0.732	8.401	0.191
	C:P	8.837	0.011	15.776	<0.001
	N:P	6.498	0.004	7.187	0.007

		F（P）
		C	N	P	C:N	C:P	N:P
枯落物	林龄	0.416（0.870）	3.292（0.175）	4.635（0.175）	0.494（0.635）	15.650（0.026）	4.455（0.126）
	分解程度	166.630（<0.001）	4. 221（0.016）	5.959（0.01）	7.272（0.001）	1.367（0.277）	1.231（0.320）
	林龄×分解程度	1.67（0.193）	0.28（0.839）	0.09（0.966）	0.375（0.772）	0.17（0.916）	0.40（0.752）
土壤	林龄	0.366（0.721）	3.612（0.159）	32.990（0.009）	1.424（0.367）	3.435（0.168）	0.538（0.631）
	土层	2.720（0.067）	25.138（<0.001）	0. 188（0.903）	41.503（<0.001）	10.465（<0.001）	1.629（0.209）
	林龄×土层	4.89（0.007）	3.20（0.037）	0.344（0.794）	0.7（0.559）	1.83（0.162）	1.63（0.202）

	土壤因子	C	N	P	C:N	C:P	N:P
枯落物	SWC	-0.163	-0.24	-0.3	0.027	0.202	0.206
	NO₃^-	-0.233	0.013	-0.13	-0.274	0.006	0.194
	pH	-0.107	-0.505^**	-0.637^**	0.383^*	0.646^**	0.424^**
	AP	-0.02	-0.109	0.029	0.084	-0.035	-0.119
	INV	0.078	0.208	0.238	-0.102	-0.16	-0.109
	URE	0.488^**	0.3	0.350^*	0.276	0.049	-0.151
	PHO	0.639^**	0.515^**	0.362^*	0.256	0.138	-0.033
	PRO	0.362^*	0.192	0.251	0.247	0.027	-0.166
土壤	SWC	0.187	0.395^*	0.211	-0.098	-0.166	-0.155
	NO₃^-	-0.288	-0.228	0.142	0.187	-0.072	-0.174
	pH	0.071	-0.13	-0.163	0.447^**	0.259	-0.221
	AP	0.042	-0.083	-0.274	0.085	0.187	0.048
	INV	-0.213	-0.352^*	-0.116	0.097	0.176	0.246
	URE	0.132	0.212	-0.083	0.152	0.284	0.435^**
	PHO	0.273	0.446^**	0.073	0.111	0.352^*	0.527^**
	PRO	0.068	0.350^*	0.014	0.165	0.087	0.342^*

呼伦贝尔沙地樟子松枯落物和土壤碳、氮、磷化学计量特征

Stoichiometry of carbon, nitrogen, and phosphorus in the litter and soil of Pinus sylvestris var. mongolica in the Hulunbuir Sandy Land

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 9

参考文献 43

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	邱春霞, 刘晓宏, 李豆, 张佳淼, 李朋飞. 机载LiDAR和模糊推理系统在黄土高原土壤侵蚀监测中的应用[J]. 干旱区研究, 2024, 41(8): 1331-1342.
[2]	万佳怡, 矢佳昱, 张华敏, 李兰晖, 丁明军. 三江源区不同覆被类型高寒草甸土壤水分变化特征[J]. 干旱区研究, 2024, 41(8): 1343-1353.
[3]	张培豪, 邢光延, 赵吉美, 刘昌义, 胡夏嵩. 轻度放牧和禁牧草地土壤物理力学性质特征——以夏藏滩滑坡区为例[J]. 干旱区研究, 2024, 41(8): 1364-1372.
[4]	龙威夷, 施建飞, 李双媛, 孙金金, 王玉刚. 流域绿洲土壤盐分多模型反演效果评估[J]. 干旱区研究, 2024, 41(7): 1120-1130.
[5]	郑柳娜, 江红南, 孙梦婷. 基于遥感影像的新疆渭干河—库车河三角洲土壤水盐与植被覆盖度的关系[J]. 干旱区研究, 2024, 41(7): 1131-1139.
[6]	包志鑫, 袁立敏, 武红燕, 鲁海涛, 韩照日格图. 呼伦贝尔草原风蚀坑植物分布空间异质效应[J]. 干旱区研究, 2024, 41(7): 1185-1194.
[7]	唐维春, 刘小娥, 苏世平, 田晓娟, 唐庆童, 张婧. 甘肃兴隆山不同演替阶段群落土壤氮素矿化对温度的响应[J]. 干旱区研究, 2024, 41(6): 984-997.
[8]	毛光锐, 赵锦梅, 朱恭, 崔海明, 刘万智. 黄土高原高速公路边坡草本群落植被特征及其与土壤的关系[J]. 干旱区研究, 2024, 41(5): 788-796.
[9]	雷菲亚, 李小双, 陶冶, 尹本丰, 荣晓莹, 张静, 陆永兴, 郭星, 周晓兵, 张元明. 西北干旱区藓类结皮覆盖下土壤多功能性特征及影响因子[J]. 干旱区研究, 2024, 41(5): 812-820.
[10]	杨竹青, 王磊, 张雪, 申建香, 张伊婧, 李欣宇, 张波, 牛金帅. 典型固沙植物种子萌发和幼苗生长对土壤水分的响应[J]. 干旱区研究, 2024, 41(5): 830-842.
[11]	洪国军, 谢俊博, 张灵, 范振岐, 喻彩丽, 付仙兵, 李旭. 基于多光谱影像的阿拉尔垦区棉田土壤盐分反演[J]. 干旱区研究, 2024, 41(5): 894-904.
[12]	胡广录, 刘鹏, 李嘉楠, 陶虎, 周成乾. 黑河中游绿洲边缘三种景观类型土壤水分动态特征及影响因素[J]. 干旱区研究, 2024, 41(4): 550-565.
[13]	张华, 押海廷, 徐存刚. 兰州市南北两山土壤水分遥感反演及植被需水量估算[J]. 干旱区研究, 2024, 41(4): 566-580.
[14]	越大林, 李国荣, 李进芳, 李希来, 赵健赟, 朱海丽, 刘亚斌, 胡夏嵩. 黄河源高寒退化草地典型鼠丘土壤风蚀及养分流失规律研究[J]. 干旱区研究, 2024, 41(4): 603-617.
[15]	宋达成, 马全林, 刘世权, 魏林源, 吴昊, 段晓峰, 郭树江. 民勤黏土沙障-人工梭梭林物种多样性及土壤水分变化特征[J]. 干旱区研究, 2024, 41(4): 618-628.