Soil Organic Carbon Fractions and Their Sensitivities to Land Use in the Typical Danxia landform Area in the Humid Region of Southeast China

doi:10.16258/j.cnki.1674-5906.2022.06.008

Ecology and Environment ›› 2022, Vol. 31 ›› Issue (6): 1132-1140.DOI: 10.16258/j.cnki.1674-5906.2022.06.008

• Research Articles • Previous Articles Next Articles

Soil Organic Carbon Fractions and Their Sensitivities to Land Use in the Typical Danxia landform Area in the Humid Region of Southeast China

WANG Chao¹^,²(), YANG Qiannan¹^,², ZHANG Chi³, LI Xiangdong⁴, CHEN Jing¹^,², ZHANG Xiaolong¹^,², CHEN Jinjie¹^,², LIU Kexue¹^,²^,^*()

1. Guangzhou Xinhua University, School of Resources and Planning, Guangzhou 510310, P. R. China
2. Guangdong South China Institute of Spatial Planning, Guangzhou 510642, P. R. China
3. South Chinese Agricultural University, Guangzhou 510642, P. R. China
4. Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510520, P. R. China

Received:2022-01-13 Online:2022-06-18 Published:2022-07-29
Contact: LIU Kexue

东南湿润区典型丹霞地貌土壤有机碳组分及其敏感性研究

王超¹^,²(), 杨倩楠¹^,², 张池³, 李祥东⁴, 陈静¹^,², 张晓龙¹^,², 陈金洁¹^,², 刘科学¹^,²^,^*()

1.广州新华学院资源与城乡规划学院,广东广州 510310
2.广东华南空间规划研究院,广东广州 510642
3.华南农业大学,广东广州 510642
4.广东科学院生态环境与土壤研究所,广东广州 510520

通讯作者: 刘科学
作者简介:王超（1994年生）,男,硕士研究生,研究方向为耕地质量提升和土壤结构改良。E-mail: wzfaye66@sina.com
基金资助:
广东省自然科学基金项目(2021A1515011543);广东省教育科学“十三五”规划项目(2020GXJK116);广州新华学院校级自然科学类重点项目(2020KYZD02)

Abstract

Abstract:

The Danxia landform area is one of the typical ecologically fragile zones in southeast China. Knowledge of the soil organic carbon fractions, the sensitivities of carbon pools and the variation characteristics of carbon pool management in this area is of importance for the carbon sequestration and sustainable development of ecosystems in ecologically fragile zones. In this study, four land-use types, i.e., natural forest (NL), shrubland (SL), abandoned grassland (AG), and cropland (CL), were selected in the Danxia Mountain area, Renhua, Guangdong. Soil organic carbon fractions, including total organic carbon (TOC), dissolved organic carbon (DOC), easily oxidizable organic carbon (EOC), particulate organic carbon (POC), and microbial biomass carbon (MBC), were quantified with the aim to investigate the changes and sensitivities of soil organic carbon fractions under different land-use types on the typical Danxia landform in southeastern humid zone. The results showed that the NL soil had significantly higher TOC, DOC, and POC contents with 24.32 g∙kg^-1, 291.10 mg∙kg^-1 and 6.49 g∙kg^-1, respectively. Compared with other three land-use types, EOC and microbial entropy in AG soil increased by 21.04%-43.19% and 36.16%-171.43%, respectively, whereas the MBC content in CL surface soil was significantly reduced by 258.40%-347.89%. Of the soil organic carbon fractions, POC was the most sensitive to land-use type, whereas DOC showed fewer differences among the four land-use types. The highest values of carbon pool management index for surface and subsurface soils were obtained in AG and NL, respectively, and MBC was an important influencing factor of soil carbon pool management index. Linear regression analysis showed that TOC variation was not significantly (P>0.05) correlated with DOC variation, but was significantly (P<0.05) negatively correlated with EOC and significantly (P<0.01) positively correlated with POC, inactive organic carbon, and mineral-associated organic carbon. POC was a sensitive indicator of the soil organic carbon fractions, whereas MBC was an effective indicator of changes in soil carbon pool management index, which revealed that different land-use types in the Danxia landform area affected the soil organic carbon pool by influencing the soil aggregate structure and soil microbial metabolic activities. In addition, the NL soil showed high contents of all organic carbon fractions, so returning farmland to forest would be conducive to soil carbon sequestration and soil quality improvement.

Key words: Danxia landform, organic carbon fraction, sensitivity, land-use type, soil carbon sequestration

摘要：

“中国丹霞”是中国东南部湿润地带脆弱的生态系统之一。研究其土壤有机碳组分、碳库的敏感性和碳库管理的变化特征,对脆弱生态区土壤固碳和生态环境的可持续性发展具有重要意义。在广东仁化丹霞山典型地貌区,选取4种土地利用方式土壤（自然林地NL、灌丛SL、撂荒草地AG和农田CL）为研究对象,测定土壤总有机碳（TOC）、溶解性有机碳（DOC）、易氧化有机碳（EOC）、颗粒态有机碳（POC）和微生物量碳（MBC）含量,旨在探明东南湿润区典型丹霞地貌不同土地利用方式下土壤有机碳组分及其敏感性特征。结果表明,（1）TOC、DOC和POC质量分数在NL土壤表现最高,分别为24.32 g∙kg^-1、291.10 mg∙kg^-1和6.49 g∙kg^-1。与其他利用方式相比,AG土壤EOC和微生物熵显著增加,分别提高了21.04%—43.19%和36.16%—171.43%,而CL表层土壤MBC含量显著降低,降幅达258.40%—347.89%。（2）4种土地利用方式土壤有机碳组分均以POC最敏感,DOC差异性较小。（3）表层土壤的碳库管理指数以AG最高,而亚表层土壤以NL最高,MBC是土壤碳库管理指数变化的重要影响因素。（4）线性拟合分析表明,土壤TOC变化量与DOC变化无明显相关,与EOC呈显著负相关,与POC、非活性有机碳、矿物结合态有机碳呈极显著正相关。POC是土壤有机碳组分敏感性指标,而MBC是土壤碳库管理指数变化的有效性表征指标,这揭示了丹霞地貌不同土地利用方式是通过土壤团粒结构和土壤微生物代谢活动影响土壤有机碳库变化。此外,该区域林地有机碳组分含量较高,退耕还林有助于土壤固碳和土壤质量提升。

关键词: 丹霞地貌, 有机碳组分, 敏感性, 土地利用方式, 土壤固碳

CLC Number:

S156
X144

WANG Chao, YANG Qiannan, ZHANG Chi, LI Xiangdong, CHEN Jing, ZHANG Xiaolong, CHEN Jinjie, LIU Kexue. Soil Organic Carbon Fractions and Their Sensitivities to Land Use in the Typical Danxia landform Area in the Humid Region of Southeast China[J]. Ecology and Environment, 2022, 31(6): 1132-1140.

王超, 杨倩楠, 张池, 李祥东, 陈静, 张晓龙, 陈金洁, 刘科学. 东南湿润区典型丹霞地貌土壤有机碳组分及其敏感性研究[J]. 生态环境学报, 2022, 31(6): 1132-1140.

Figures/Tables 9

References 38

[1]	BENBI D K, BRAR K, TOOR A S, et al., 2015. Total and labile pools of soil organic carbon in cultivated and undisturbed soils in northern India[J]. Geoderma, 237-238: 149-158.
[2]	BLAIR G, LEFROY R, LISLE L, 1995. Soil carbon fractions based on their degree of oxidation, and the development of a carbon management index for agricultural systems[J]. Australian Journal of Agriculture Research, 46(7): 1459-1466.
[3]	CHAUDHARY S, DHERI G S, BRAR B S, 2017. Long-term effects of NPK fertilizers and organic manures on carbon stabilization and management index under rice-wheat cropping system[J]. Soil and Tillage Research, 166: 59-66.
[4]	CHEN S, XU C M, YAN J X, et al., 2016. The influence of the type of crop residue on soil organic carbon fractions: An 11-year field study of rice-based cropping systems in southeast China[J]. Agriculture, Ecosystems, Environment, 223: 261-269.
[5]	DENG L, ZHU G Y, TANG Z S, et al., 2016. Global patterns of the effects of land-use changes on soil carbon stocks[J]. Global Ecology & Conservation, 5: 127-138.
[6]	GUO D, LI X D, WANG J, et al., 2020. Edaphic and microbial determinants of the residence times of active and slow C pools on the Tibetan Plateau[J]. Geoderma, 357: 113942.
[7]	HU N, LAN J C, 2020. Impact of vegetation restoration on soil organic carbon stocks and aggregates in a karst rocky desertification area in Southwest China[J]. Journal of Soils and Sediments, 20: 1264-1275.
[8]	JIMENEZ-GONZALEZ M A, ALVAREZ A M, CARRAL P, et al., 2020. Influence of soil forming factors on the molecular structure of soil organic matter and carbon levels[J]. Catena, 189: 104501.
[9]	KRISTINA W, ALIX V, DAVID I S, et al., 2021. Particulate organic matter as a functional soil component for persistent soil organic carbon[J]. Nature Communication, 12: 4115.
[10]	LAN J C, 2021. Responses of soil organic carbon components and their sensitivity to karst rocky desertification control measures in Southwest China[J]. Journal of Soil and Sediment, 21: 978-989.
[11]	LIANG Q, CHEN H Q, GONG Y S, et al., 2012. Effect of 15 years of manure and inorganic fertilizers on soil organic carbon fractions in a wheat-maize system in the North China Plain[J]. Nutrient Cycling in Agroecosystems, 92: 21-33.
[12]	LIU S L, SUI Y R, HUANG D Y, et al., 2006. Response of Cmic-to-Corg to land use and fertilization in subtropical region of China[J]. Scientia Agricultura Sinica, 39(7): 1411-1418.
[13]	LIU S R, HUANG R H, 1991. Redstone karst and danxia landforms in guangdong province[J]. Carsologica Sinica, 10(3): 16-22.
[14]	LIU Z F, LIU G H, FU B J, et al., 2007. Relationship between plant species diversity and soil microbial functional diversity along a longitudinal gradient in temperate grasslands of Hulunbeir, Inner Mongolia, China[J]. Ecological Research, 23: 511-518.
[15]	MOOSHAMMER M, WANEK W, ZECHMEISTER-BOLTENSTERN S, et al., 2014. Stoichiometric imbalances between terrestrial decomposer communities and their resources: mechanisms and implications of microbial adaptations to their resources[J]. Frontiers in Microbiology, 5: 22.
[16]	PANG D B, CUI M, LIU Y G, et al., 2019. Responses of soil labile organic carbon fractions and stocks to different vegetation restoration strategies in degraded karst ecosystems of Southwest China[J]. Ecological Engineering, 138: 391-402.
[17]	QIN Y B, XIN Z B, WANG D M, et al., 2017. Soil organic carbon storage and its influencing factors in the riparian woodlands of a Chinese karst area[J]. Catena, 153: 21-29.
[18]	SINGH S, GHOSHAL N, SINGH K P, 2007. Variations in soil microbial biomass and crop roots due to differing resource quality inputs in a tropical dryland agroecosystem[J]. Soil Biology and Biochemistry, 39(1): 76-86.
[19]	WANG Q Y, WANG Y, WANG Q C, et al., 2014. Impacts of 9 years of a new conservational agricultural management on soil organic carbon fraction[J]. Soil Tillage Research, 143: 1-6.
[20]	YAN L B, PENG H, ZHANG S, et al., 2019. The spatial patterns of red beds and danxia landforms: Implication for the formation factors-China[J]. Scientific Reports, 9: 1961.
[21]	YAN Y C, WANG X, GUO Z J, et al., 2018. Influence of wind erosion on dry aggregate size distribution and nutrients in three steppe soils in northern China[J]. Catena, 170: 159-168.
[22]	YANG Y H, LUO Y Q, 2011. Carbon: nitrogen stoichiometry in forest ecosystems during stand development[J]. Global Ecology and Biogeography, 20(2): 354-361.
[23]	ZHENG H Z, WANG C K, LUO Y Q, 2018. Effects of forest degradation on microbial communities and soil carbon cycling: A global meta-analysis[J]. Global Ecology and Biogeography, 27(1): 110-124.
[24]	崔东, 肖治国, 赵玉, 等, 2017. 不同土地利用类型对伊犁地区土壤活性有机碳库和碳库管理指数的影响[J]. 水土保持研究, 24(1): 61-67.
	CUI D, XIAO Z Z, ZHAO Y, et al., 2017. Effects of different land use patterns on soil active organic carbon pool and carbon pool management index in Yili area, Xinjiang Uygur Autonomous Region[J]. Research of Soil and Water Conservation, 24(1): 61-67.
[25]	何祖霞, 严岳鸿, 马其侠, 等, 2012. 湖南丹霞地貌区的苔藓植物多样性[J]. 生物多样性, 20(4): 522-526. DOI
	HE Z X, YAN Y H, MA Q X, et al., 2012. The bryophyte diversity of the Danxia landform in Hunan, China[J]. Biodiversity Science, 20(4): 522-526.
[26]	简兴, 王松, 翟晓钰, 等, 2019. 安徽三汊河国家湿地公园不同土地利用方式下表层土壤活性有机碳含量[J]. 湿地科学, 17(5): 511-518.
	JIAN X, WANG S, ZHAI X Y, et al., 2019. Labile organic carbon contents in surface soil under different land-use ways in Anhui sancha riverNational wetland park[J]. Wetland Science, 17(5): 511-518.
[27]	刘守龙, 苏以荣, 黄道友, 等, 2006. 微生物商对亚热带地区土地利用及施肥制度的响应[J]. 中国农业科学, 39(7): 1411-1418.
	LIU S L, SUI Y R, HUANG D Y, et al., 2006. Response of Cmic-to-Corg to land use and fertilization in subtropical region of China[J]. Scientia Agricultura Sinica, 39(7): 1411-1418.
[28]	刘洋, 曾全超, 安韶山, 等, 2017. 黄土丘陵区草本植物叶片与枯落物生态化学计量学特征[J]. 应用生态学报, 28(6): 1793-1800. DOI
	LIU Y, ZENG Q C, AN S S, et al., 2017. Ecological stoichiometry of leaf and litter of herbaceous plants in loess hilly and gully regions, China[J]. Chinese Journal of Applied Ecology, 28(6): 1793-1800.
[29]	鲁如坤, 2000. 土壤农业化学分析方法[M]. 北京: 科学出版社.
	LU R K, 2000. Methods for soil agrochemical analysis[M]. Beijing: Science Press.
[30]	欧阳杰, 朱诚, 彭华, 2011. 丹霞地貌国内外研究对比[J]. 地理科学, 31(8): 996-1000.
	OUYANG J, ZHU C, PENG H, et al., 2011. A contrast introduction to Danxia landforms from a world-wide reference for similar landforms[J]. Scientia Geographica Sinica, 31(8): 996-1000.
[31]	彭华, 潘志新, 闫罗彬, 等, 2013. 国内外红层与丹霞地貌研究述评[J]. 地理学报, 68(9): 1170-1181. DOI
	PENG H, PAN Z X, YAN L B, et al., 2013. A review of the research on red beds and Danxia landform[J]. Acta Geographica Sinica, 68(9): 1170-1181. DOI
[32]	祁心, 江长胜, 郝庆菊, 等, 2015. 缙云山不同土地利用方式对土壤活性有机碳、氮组分的影响[J]. 环境科学, 36(10): 3816-3824.
	QI X, JIANG C S, HAO Q J, et al., 2015. Effects of different land uses on soil active organic carbon and nitrogen fractions in jinyun mountain[J]. Environmental Science, 36(10): 3816-3824.
[33]	王超, 董玉清, 卢瑛, 等, 2021. 粤北低山林地改建梯田对土壤碳、氮、磷及其化学计量特征的影响[J]. 应用生态学报, 32(7): 2440-2448. DOI
	WANG C, DONG Y Q, LU Y, et al., 2021. Effects of transforming forest land into terraced land on the characteristics of soil carbon, nitrogen, phosphorus and their stoichiometry in North Guangdong, China[J]. Chinese Journal of Applied Ecology, 32(7): 2440-2448. DOI
[34]	王有良, 宋重升, 彭丽鸿, 等, 2021. 间伐对杉木人工林土壤碳氮及其组分特征的影响[J]. 水土保持学报, 35(5): 204-212.
	WANG Y L, SONG C S, PENG L H, et al., 2021. Effects of thinning on soil carbon and nitrogen fractions in a cunninghamia lanceolata plantation[J]. Journal of Soil and Water Conservation, 35(5): 204-212.
[35]	魏夏新, 熊俊芬, 李涛, 等, 2020. 有机物料还田对双季稻田土壤有机碳及其活性组分的影响[J]. 应用生态学报, 31(7): 2373-2380. DOI
	WEI X X, XIONG J F, LI T, et al., 2020. Effects of different organic amendments on soil organic carbon and its labile fractions in the paddy soil of a double rice cropping system[J]. Chinese Journal of Applied Ecology, 31(7): 2373-2380.
[36]	袁嘉欣, 杨滨娟, 胡启良, 等, 2021. 长江中游稻田种植模式对土壤有机碳及碳库管理指数的影响[J]. 中国生态农业学报 (中英文), 29(7): 1205-1214.
	YUAN J X, YANG B J, HU Q L, et al., 2021. Effects of paddy field cropping patterns on soil organic carbon and carbon pool management index in the middle reaches of the Yangtze River[J]. Chinese Journal of Eco-Agriculture, 29(7): 1205-1214.
[37]	展鹏飞, 刘振亚, 郭玉静, 等, 2018. 不同放牧方式下高寒草甸土壤碳组分的对比研究[J]. 土壤, 50(3): 543-551.
	ZHAN P F, LIU Z Y, GUO Y J, et al., 2018. Study on soil carbon fractions in alpine meadow under different herding patterns[J]. Soils, 50(3): 543-551.
[38]	周伟, 张运龙, 徐明岗, 等, 2021. 长期撂荒对黑土土壤有机碳组分的影响[J]. 中国土壤与肥料 (4): 11-18.
	ZHOU W, ZHANG Y L, XUN M G, et al., 2021. Effect of long-term fallow on soil organic carbon fractions in black soil[J]. Soil and Fertilizer Sciences in China (4): 11-18.

编号 No.	样地类型 Sample type	海拔 Altitude/m	地理坐标 Geographic coordinates	年限 Age/a	主要植被 Major vegetation
NL	自然林地	268.9	25°2′36″N, 113°43′2″E	>30	枫香（Liquidambar formosana Hance）、米储（Castanopsis Carlesii）、丹霞梧桐（Firmiana danxiaensis H. H. Hsue & H. S. Kiu）、乌楣（Castanopsis jucunda Hance）
SL	灌丛	191.7	25°2′38″N, 113°43′28″E	>20	鸭脚木（Schefflera octophylla (Lour.) Harms）、南酸枣（Choerospondias axillaris (Roxb.) Burtt et Hill.）、圆叶小石积（Osteomeles subrotunda K. Koch）、芒萁（Dicranopteris dichotoma (Thunb.) Berhn.）、狗脊（Cibotium barometz (L.) J. Sm.）
AG	撂荒草地	117.5	25°2′27″N, 113°43′57″E	约3	狗尾草（Setaria viridis (L.) Beauv.）、雀稗（Paspalum thunbergii Kunth ex steud.）
CL	农田	88.0	25°2′45″N, 113°43′21″E	>20	辣椒（Capsicum annuum L.）、菜心（Brassica campestris L. ssp.chinensis var. utilis Tsen）、玉米（Zea mays L.）

编号 No.	样地类型 Sample type	海拔 Altitude/m	地理坐标 Geographic coordinates	年限 Age/a	主要植被 Major vegetation
NL	自然林地	268.9	25°2′36″N, 113°43′2″E	>30	枫香（Liquidambar formosana Hance）、米储（Castanopsis Carlesii）、丹霞梧桐（Firmiana danxiaensis H. H. Hsue & H. S. Kiu）、乌楣（Castanopsis jucunda Hance）
SL	灌丛	191.7	25°2′38″N, 113°43′28″E	>20	鸭脚木（Schefflera octophylla (Lour.) Harms）、南酸枣（Choerospondias axillaris (Roxb.) Burtt et Hill.）、圆叶小石积（Osteomeles subrotunda K. Koch）、芒萁（Dicranopteris dichotoma (Thunb.) Berhn.）、狗脊（Cibotium barometz (L.) J. Sm.）
AG	撂荒草地	117.5	25°2′27″N, 113°43′57″E	约3	狗尾草（Setaria viridis (L.) Beauv.）、雀稗（Paspalum thunbergii Kunth ex steud.）
CL	农田	88.0	25°2′45″N, 113°43′21″E	>20	辣椒（Capsicum annuum L.）、菜心（Brassica campestris L. ssp.chinensis var. utilis Tsen）、玉米（Zea mays L.）

土地利用方式 Land use types	土层深度 Soil depth/cm	pH	容重 Bulk density/(g∙cm^-3)	w_{(total N)}/ (g∙kg^-1)	w_{(amorphous iron)}/ (g∙kg^-1)	w_(sand)/ (g∙kg^-1)	w_(silt)/ (g∙kg^-1)	w_(clay)/ (g∙kg^-1)
自然林地 NL	0-10	6.28±0.13	1.08±0.01	1.40±0.05	2.42±0.13	202.11±9.37	467.09±20.84	330.80±23.45
自然林地 NL	10-20	6.77±0.15	1.20±0.01	1.09±0.05	0.99±0.07	179.07±12.25	438.93±15.07	382.00±2.88
灌丛 SL	0-10	6.01±0.12	1.19±0.00	1.98±0.11	1.72±0.07	231.56±15.80	450.58±12.28	317.87±21.85
灌丛 SL	10-20	5.91±0.06	1.22±0.01	1.03±0.09	1.30±0.09	175.34±1.91	416.26±5.20	408.40±3.46
撂荒草地 AG	0-10	5.29±0.02	1.25±0.03	0.81±0.04	1.05±0.06	373.32±44.69	545.74±48.54	80.93±11.34
撂荒草地 AG	10-20	5.16±0.17	1.31±0.01	0.66±0.07	1.12±0.02	410.03±17.58	505.70±17.71	84.27±4.20
农田 CL	0-10	5.21±0.04	1.28±0.04	1.61±0.10	2.84±0.07	322.94±13.01	491.46±11.95	185.60±1.44
农田 CL	10-20	4.80±0.03	1.30±0.04	1.11±0.03	2.81±0.06	299.96±12.16	661.91±5.83	38.13±6.50

土地利用方式 Land use types	土层深度 Soil depth/cm	pH	容重 Bulk density/(g∙cm^-3)	w_{(total N)}/ (g∙kg^-1)	w_{(amorphous iron)}/ (g∙kg^-1)	w_(sand)/ (g∙kg^-1)	w_(silt)/ (g∙kg^-1)	w_(clay)/ (g∙kg^-1)
自然林地 NL	0-10	6.28±0.13	1.08±0.01	1.40±0.05	2.42±0.13	202.11±9.37	467.09±20.84	330.80±23.45
自然林地 NL	10-20	6.77±0.15	1.20±0.01	1.09±0.05	0.99±0.07	179.07±12.25	438.93±15.07	382.00±2.88
灌丛 SL	0-10	6.01±0.12	1.19±0.00	1.98±0.11	1.72±0.07	231.56±15.80	450.58±12.28	317.87±21.85
灌丛 SL	10-20	5.91±0.06	1.22±0.01	1.03±0.09	1.30±0.09	175.34±1.91	416.26±5.20	408.40±3.46
撂荒草地 AG	0-10	5.29±0.02	1.25±0.03	0.81±0.04	1.05±0.06	373.32±44.69	545.74±48.54	80.93±11.34
撂荒草地 AG	10-20	5.16±0.17	1.31±0.01	0.66±0.07	1.12±0.02	410.03±17.58	505.70±17.71	84.27±4.20
农田 CL	0-10	5.21±0.04	1.28±0.04	1.61±0.10	2.84±0.07	322.94±13.01	491.46±11.95	185.60±1.44
农田 CL	10-20	4.80±0.03	1.30±0.04	1.11±0.03	2.81±0.06	299.96±12.16	661.91±5.83	38.13±6.50

指标 Index	土地利用方式 Land use types		土层深度 Soil depth		土地利用方式×土层深度 Land use types×Soil depth
指标 Index	F	P	F	P	F	P
TOC	763.89	P<0.01	599.742	P<0.01	78.77	P<0.01
DOC	4.11	P<0.05	84.74	P<0.01	6.68	P<0.01
EOC	29.84	P<0.01	363.40	P<0.01	65.36	P<0.01
POC	781.50	P<0.01	58.40	P<0.01	7.09	P<0.01
IOC	837.45	P<0.01	536.30	P<0.01	97.98	P<0.01
MOC	511.18	P<0.01	762.84	P<0.01	122.05	P<0.01
MBC	180.43	P<0.01	605.88	P<0.01	79.40	P<0.01
q_MB	43.87	P<0.01	59.03	P<0.01	19.81	P<0.01

Soil Organic Carbon Fractions and Their Sensitivities to Land Use in the Typical Danxia landform Area in the Humid Region of Southeast China

东南湿润区典型丹霞地貌土壤有机碳组分及其敏感性研究

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 9

References 38

Related Articles 7

Recommended Articles

Metrics

Comments

土层深度 Soil depth/cm	土地利用方式 Land-use type	碳库指数 I_CP	碳库活度 A_CP	碳库活度指数 I_CPA	碳库管理指数 I_CPM
0-10	NL	—	0.07±0.00Bd	—	—
	SL	0.60±0.02Aa	0.10±0.00Ac	1.46±0.03Ac	87.19±3.38Ab
	AG	0.54±0.01Ab	0.16±0.00Ab	2.43±0.12Ab	132.34±9.32Aa
	CL	0.21±0.00Bc	0.42±0.01Aa	6.34±0.21Aa	130.97±2.77Aa
10-20	NL	—	0.11±0.00Ab	—	—
	SL	0.61±0.02Aa	0.10±0.01Ab	0.97±0.10Bb	59.22±6.71Bb
	AG	0.59±0.01Aa	0.07±0.00Bc	0.64±0.02Bc	37.45±0.68Bc
	CL	0.31±0.01Ab	0.31±0.01Ba	2.90±0.09Ba	88.64±2.25Ba
土地利用方式 Land use type		445.14^**	790.54^**	546.28^**	26.79^**
土层深度 Soil depth		26.18^**	68.26^**	422.87^**	174.36^**
土地利用方式×土层深度 Land use type×soil depth		5.86^*	61.38^**	84.39^**	23.78^**

指标 Index	I_CP		A_CP		I_CPA		I_CPM
指标 Index	r_p	P	r_p	P	r_p	P	r_p	P
TOC	-0.066	P>0.05	0.068	P>0.05	-0.009	P>0.05	0.194	P>0.05
DOC	0.098	P>0.05	0.166	P>0.05	0.393	P>0.05	0.289	P>0.05
EOC	0.170	P>0.05	-0.234	P>0.05	-0.247	P>0.05	-0.382	P>0.05
POC	-0.066	P>0.05	0.161	P>0.05	0.225	P>0.05	0.134	P>0.05
IOC	0.159	P>0.05	-0.228	P>0.05	-0.223	P>0.05	-0.374	P>0.05
MOC	-0.076	P>0.05	0.165	P>0.05	0.237	P>0.05	0.140	P>0.05
MBC	0.846	P<0.01	-0.545	P<0.05	-0.917	P<0.01	-0.618	P<0.05

[1]	LI Chuanfu, ZHU Taochuan, MING Yufei, YANG Yuxuan, GAO Shu, DONG Zhi, LI Yongqiang, JIAO Shuying. Effect of Organic Fertilizer and Desulphurized Gypsum on Soil Aggregates and Organic Carbon and Its Fractions Contents in the Saline-alkali Soil of the Yellow River Delta [J]. Ecology and Environment, 2023, 32(5): 878-888.
[2]	WANG Chao, YANG Qiannan, ZHANG Chi, LIU Tongxu, ZHANG Xialong, CHEN Jing, LIU Kexue. The Characteristics of Soil Phosphorus Fractions and Their Availability under Different Land Use Types in Danxia Mountain [J]. Ecology and Environment, 2023, 32(5): 889-897.
[3]	ZHANG Pingjiang, DANG Guofeng. Construction of Ecological Security Pattern of Tao River Basin Based on MCR Model and ant Colony Algorithm [J]. Ecology and Environment, 2023, 32(3): 481-491.
[4]	CHEN Lijuan, ZHOU Wenjun, YI Yanyun, SONG Qinghai, ZHANG Yiping, LIANG Naishen, LU Zhiyun, WEN Handong, MOHD Zeeshan, SHA Liqing. Characteristics of Soil CH₄ Flux in the Subtropical Evergreen Broad-leaved Forest in Ailao Mountain, Yunnan, Southwest China [J]. Ecology and Environment, 2022, 31(5): 949-960.
[5]	WANG Yushu, SHENG Haiyan, LUO Shasha, HU Yueming, YU Lingling. Characteristics of Prokaryotic Microbial Community Structure and Molecular Ecological Network in Four Habitat Soils around Lake Qinghai [J]. Ecology and Environment, 2021, 30(7): 1393-1403.
[6]	WU Xianwen, CHEN Yingbiao. Ecological Sensitivity Assessment Based on Natural Resource Data [J]. Ecology and Environment, 2021, 30(5): 976-983.
[7]	HONG Yingying, CHEN Chen, BAO Hongyan, SHEN Jin. Sources and Sensitivity Analysis of Ozone in Spring Over the Southwestern Part of Pearl River Delta Region [J]. Ecology and Environment, 2021, 30(5): 984-994.