Scientia Silvae Sinicae ›› 2026, Vol. 62 ›› Issue (3): 61-73.doi: 10.11707/j.1001-7488.LYKX20250050
• Research papers • Previous Articles Next Articles
Yuxin Hu1,2,Yihang Jiang1,Zhenhua Liu3,Guangyu Zhu4,Jianguo Zhang1,Xiongqing Zhang1,2,*(
)
Received:2025-02-02
Revised:2025-10-28
Online:2026-03-15
Published:2026-03-12
Contact:
Xiongqing Zhang
E-mail:xqzhang85@caf.ac.cn
CLC Number:
Yuxin Hu,Yihang Jiang,Zhenhua Liu,Guangyu Zhu,Jianguo Zhang,Xiongqing Zhang. Effects of Understory Enrichment Planting Modes in Pure Chinese fir Forests on Soil Quality and Microbial Communities[J]. Scientia Silvae Sinicae, 2026, 62(3): 61-73.
Table 1
Summary of the plots in Liuyang Lake forest station"
| 项目 Items | M1 | M2 | M3 | M0 | |||||||||||
| 样地编号 Plot No. | M1-1 | M1-2 | M1-3 | M2-1 | M2-2 | M2-3 | M3-1 | M3-2 | M3-3 | M0-1 | M0-2 | M0-3 | |||
| 树种比例 Tree species composition ratio | 3∶7∶ 0∶0 | 3∶7∶ 0∶0 | 3∶7∶ 0∶0 | 3∶5∶ 2∶0 | 3∶6∶ 1∶0 | 3∶6∶ 1∶0 | 3∶4∶ 1∶2 | 3∶2∶ 4∶1 | 3∶3∶ 3∶1 | 10∶0∶ 0∶0 | 10∶0∶ 0∶0 | 10∶0∶ 0∶0 | |||
| 坡位 Slope position | 中坡Mid-slope | 中坡Mid-slope | 中坡Mid-slope | 中坡Mid-slope | |||||||||||
| 坡向 Slope aspect | 西南Southwest | 西南Southwest | 西南Southwest | 西南Southwest | |||||||||||
| 海拔 Elevation/m | 216.11 | 160.68 | 176.61 | 163.94 | |||||||||||
| 杉木密度 Density of C. lanceolata/ (trees·hm–2) | 375 | 350 | 367 | ||||||||||||
| 杉木平均胸径 Mean DBH of C. lanceolata/cm | 23.16 | 25.20 | 22.07 | 18.46 | |||||||||||
| 杉木平均高 Mean tree height of C. lanceolata/m | 21.42 | 24.83 | 21.12 | 17.01 | |||||||||||
| 闽楠平均胸径 Mean DBH of P. bournei/cm | 4.36 | 5.82 | 5.25 | ||||||||||||
| 闽楠平均高 Mean tree height of P. bournei/m | 5.58 | 6.64 | 6.37 | ||||||||||||
| 红豆杉平均胸径 Mean DBH of T. wallichiana var. chinensis/cm | 5.99 | 5.88 | |||||||||||||
| 红豆杉平均高 Mean tree height of T. wallichiana var. chinensis/m | 5.08 | 4.82 | |||||||||||||
| 木荷平均胸径 Mean DBH of S. superba/cm | 4.49 | ||||||||||||||
| 木荷平均高 Mean tree height of S. superba/m | 5.86 | ||||||||||||||
Table 2
Soil chemical index and enzyme activity determination methods"
| 指标Index | 缩写 Abbreviation | 测定方法 Determination methods |
| 全氮 Total nitrogen | TN | 半微量凯氏定氮法Semi-micro Kjeldahl method |
| 全磷 Total phosphorus | TP | 消煮?钒钼酸铵比色法Digestion-ammonium vanadomolybdate colorimetry |
| 全钾 Total potassium | TK | 氢氧化钠熔解?火焰分光光度法Sodium hydroxide fusion-flame spectrophotometry |
| 碱解氮 Available nitrogen | AN | 碱解蒸馏法Alkali hydrolysis-distillation method |
| 有效磷 Available phosphorus | AP | 碳酸氢钠浸提?钼锑抗比色法Sodium bicarbonate extraction-molybdenum antimony anti colorimetry |
| 速效钾 Available potassium | AK | 乙酸铵浸提?火焰分光光度法Ammonium acetate extraction-flame spectrophotometry |
| pH值 pH value | pH | 水浸提电位法(水土比2.5∶1)Water extraction potentiometry (water-soil ratio 2.5∶1) |
| 有机质 Organic matter | SOM | 重铬酸钾氧化?外加热法Potassium dichromate oxidation-external heating method |
| 有效铁 Available iron | AFe | DTPA浸提?原子吸收分光光度法DTPA extraction-atomic absorption spectrophotometry |
| 土壤蔗糖酶 Soil sucrase | SUC | 3,5-二硝基水杨酸比色法3,5-dinitrosalicylic acid colorimetry |
| 葡萄糖苷酶 β-Glucosidase | GLU | 消煮?钒钼酸铵比色法Digestion-ammonium vanadomolybdate colorimetry |
| 纤维素酶 Cellulase | CEL | 3,5-二硝基水杨酸比色法3,5-dinitrosalicylic acid colorimetry |
| 酸性磷酸酶 Acid phosphatase | ACP | 磷酸苯二钠比色法Disodium phenyl phosphate colorimetry |
| 脲酶 Urease | URE | 苯酚?次氯酸钠比色法Phenol-sodium hypochlorite colorimetry |
| 过氧化氢酶 Catalase | CAT | 高锰酸钾滴定法Potassium permanganate titration |
Table 3
Soil chemical properties and stoichiometric ratios of different understory enrichment planting modes and soil layers"
指标Index | M0 | M1 | M2 | M3 | |||||||||||
| 0~20 cm | 20~40 cm | 40~60 cm | 0~20 cm | 20~40 cm | 40~60 cm | 0~20 cm | 20~40 cm | 40~60 cm | 0~20 cm | 20~40 cm | 40~60 cm | ||||
| TN/(g·kg–1) | 0.94± 0.07bA | 1.00± 0.02abA | 0.72± 0.04bB | 1.14± 0.07aA | 1.04± 0.06aA | 0.91± 0.10aB | 1.18± 0.09aA | 0.92± 0.07bB | 0.76± 0.03bC | 1.22± 0.08aA | 0.97± 0.04abB | 0.79± 0.03bC | |||
| TP /(g·kg–1) | 0.26± 0.08bA | 0.24± 0.06bA | 0.22± 0.04bB | 0.28± 0.03bA | 0.31± 0.04abA | 0.31± 0.03bA | 0.44± 0.03aA | 0.42± 0.01aAB | 0.33± 0.05aB | 0.36± 0.07abA | 0.33± 0.10abA | 0.32± 0.08bA | |||
| TK/(g·kg–1) | 16.89± 2.04aA | 17.97± 1.37aA | 17.28± 0.72aA | 17.87± 2.23aA | 17.45± 3.68aA | 17.83± 2.52aA | 16.05± 0.85aA | 14.98± 1.25aA | 14.52± 0.29aA | 15.38± 1.66aA | 15.63± 1.82aA | 14.64± 2.50aA | |||
| AN/(mg·kg–1) | 91.85± 4.83cA | 80.11± 13.07bA | 55.18± 13.17bB | 126.46± 8.19bA | 109.24± 1.84aB | 92.64± 7.07aC | 153.08± 2.53aA | 124.67± 2.15aB | 95.17± 24.04aC | 122.83± 6.85bA | 91.94± 10.73bB | 75.47± 15.07abB | |||
| AP/(mg·kg–1) | 0.97± 0.30aA | 0.85± 0.04aA | 0.70± 0.21aA | 1.22± 0.14aA | 0.86± 0.35aA | 0.78± 0.27aA | 1.53± 0.38aA | 1.19± 0.33aAB | 0.66± 0.06aB | 1.02± 0.20aA | 0.77± 0.29aA | 0.80± 0.39aA | |||
| AK /(mg·kg–1) | 47.88± 6.23bA | 38.44± 1.51aB | 33.29± 2.62aB | 52.62± 2.99abA | 39.87± 8.30aA | 38.63± 9.24aA | 67.99± 5.62aA | 45.90± 4.92aB | 40.24± 3.52aB | 59.91± 12.52abA | 42.96± 9.78aAB | 35.53± 10.40aB | |||
| pH | 4.89± 0.09bA | 4.94± 0.13bA | 5.03± 0.09aA | 4.96± 0.08abA | 4.95± 0.04bA | 5.03± 0.01aA | 5.15± 0.12aA | 5.14± 0.05aA | 5.08± 0.12aA | 5.05± 0.04abA | 4.99± 0.06abA | 4.99± 0.03aA | |||
| AFe/(mg·kg–1) | 20.34± 3.9aA | 16.13± 5.57aA | 7.66± 2.41bB | 24.49± 3.70aA | 20.36± 3.48aA | 19.75± 4.69aA | 21.82± 1.76aB | 17.7± 1.63aB | 16.6± 1.06abA | 20.09± 4.44aA | 13.53± 3.58aAB | 10.28± 3.89bcB | |||
| SOC/(g·kg–1) | 9.5± 0.84bA | 7.07± 1.33bB | 4.36± 0.97cC | 15.19± 0.93aA | 11.58± 1.10aB | 10.29± 1.59aB | 16.4± 2.26aA | 11.98± 0.09abB | 9.18± 0.65bB | 14.53± 2.27aA | 10.27± 3.13abAB | 7.55± 1.30bB | |||
| C∶N | 10.05± 0.12bA | 7.09± 1.45bB | 6.08± 1.25bB | 13.32± 0.59abA | 11.15± 1.15aAB | 11.33± 1.13aB | 13.96± 2.52aA | 13.1± 0.91aA | 12.2± 0.60aA | 11.85± 1.09abA | 10.57± 2.74abA | 9.60± 2.02aA | |||
| N∶P | 3.73± 0.83aA | 4.38± 0.93aA | 3.36± 0.78aA | 4.08± 0.67aA | 3.46± 0.61abA | 2.96± 0.59aA | 2.68± 0.24aA | 2.34± 0.16bA | 2.31± 0.26aA | 3.52± 0.96aA | 3.15± 1.09abA | 2.59± 0.60aA | |||
| C∶P | 37.41± 7.93aA | 31.96± 12.14aA | 20.51± 6.26aA | 54.16± 7.44aA | 38.58± 7.91aB | 33.52± 7.60aB | 37.45± 8.11aA | 25.28± 0.88aB | 24.75± 3.83aB | 42.45± 15.73aA | 35.29± 21.46aA | 25.52± 11.19aA | |||
Table 4
Soil enzyme activity and microbial metabolism of different understory enrichment planting modes and soil layers"
| 指标 Index | M0 | M1 | M2 | M3 | |||||||||||
| 0~20 cm | 20~40 cm | 40~60 cm | 0~20 cm | 20~40 cm | 40~60 cm | 0~20 cm | 20~40 cm | 40~60 cm | 0~20 cm | 20~40 cm | 40~60 cm | ||||
| SUC | 3.11± 1.18bA | 1.25± 0.94cB | 0.58± 0.33bC | 3.31± 0.21aA | 2.40± 0.97aB | 1.61± 0.79aC | 2.59± 1.08cA | 1.25± 0.83cB | 0.97± 0.92aB | 2.17± 0.83dA | 1.53± 0.81bB | 1.19± 0.61abC | |||
| GLU | 0.74± 0.12cA | 0.37± 0.03cB | 0.21± 0.05cB | 1.02± 0.12aA | 0.84± 0.24aB | 0.78± 0.26aB | 0.95± 0.09abA | 0.56± 0.04bB | 0.46± 0.15bC | 0.88± 0.24bcA | 0.64± 0.14bB | 0.54± 0.08bB | |||
| CEL | 0.15± 0.15bB | 0.32± 0.33aA | 0.26± 0.17aAB | 0.33± 0.07aA | 0.15± 0.07bB | 0.13± 0.06bB | 0.28± 0.10aA | 0.13± 0.07bB | 0.07± 0.03bB | 0.28± 0.16aA | 0.17± 0.09bB | 0.11± 0.04bB | |||
| URE | 0.42± 0.14aA | 0.32± 0.04bA | 0.13± 0.02bB | 0.49± 0.04aA | 0.45± 0.05aA | 0.40± 0.11aA | 0.47± 0.05aA | 0.34± 0.06bB | 0.34± 0.10aB | 0.54± 0.00aA | 0.45± 0.02aAB | 0.36± 0.04aB | |||
| ACP | 1.85± 0.24aA | 1.84± 0.21aA | 1.22± 0.22cA | 1.56± 0.24cA | 1.68± 0.22bcAB | 1.67± 0.19aB | 1.66± 0.16bcA | 1.60± 0.26cA | 1.49± 0.11bB | 1.68± 0.20bA | 1.73± 0.11abAB | 1.60± 0.10aB | |||
| CAT | 2.58± 0.41aA | 1.87± 0.20bB | 1.53± 0.47cB | 2.18± 0.10bA | 1.96± 0.15bbA | 1.96± 0.33bA | 2.50± 0.38aA | 2.21± 0.68aB | 2.11± 0.63aB | 2.52± 0.45aA | 2.16± 0.56aB | 1.80± 0.70bC | |||
| RAC | 0.68± 0.19aA | 0.37± 0.34aA | –0.17± 0.61aA | 0.78± 0.02bA | 0.69± 0.12aA | 0.54± 0.20aA | 0.69± 0.17aA | 0.43± 0.23aA | 0.12± 0.47aA | 0.68± 0.12aA | 0.51± 0.23aA | 0.42± 0.17aA | |||
| RAN | 0.55± 0.35bA | –0.83± 0.22aA | –2.65± 0.92bB | –0.37± 0.05aA | –0.48± 0.11aA | –0.66± 0.29aA | –0.45± 0.13aA | –0.81± 0.20aA | –1.04± 0.47aA | –0.37± 0.13aA | –0.55± 0.11aA | –0.93± 0.22aB | |||
| RAP | 0.36± 0.12aA | 0.44± 0.14aA | 0.20± 0.21aA | 0.23± 0.08aA | 0.31± 0.10aA | 0.35± 0.10aA | 0.30± 0.09aA | 0.35± 0.14aA | 0.36± 0.12aA | 0.30± 0.06aA | 0.37± 0.09aA | 0.36± 0.02aA | |||
| EC∶EN | –1.65± 1.03aB | –0.53± 0.50aAB | 0.01± 0.26aA | –2.18± 0.22aA | –1.53± 0.67acA | –1.06± 0.89aA | –1.96± 0.97aA | –0.60± 0.46aA | –0.35± 0.82aA | –2.03± 0.94aA | –1.01± 0.30aAB | –0.50± 0.35aB | |||
| EC∶EP | 2.26± 1.55aA | 1.07± 1.16aA | 1.09± 1.26aA | 3.77± 1.19aA | 2.52± 1.3aA | 1.74± 1.10aA | 2.55± 1.30aA | 1.48± 1.13aA | 0.70± 1.85aA | 2.31± 0.72aA | 1.51± 0.93aA | 1.18± 0.52aA | |||
| EN∶EP | –1.54± 0.65aA | –1.92± 0.39abA | 3.75± 3.97aA | –1.77± 0.68aA | –1.60± 0.30aA | –1.92± 0.76aA | –1.55± 0.41aA | –2.41± 0.40bAB | –2.83± 0.85aB | –1.24± 0.35aA | –1.47± 0.06aA | –2.59± 0.55aB | |||
| RLC | 3.83± 0.78aA | 1.20± 1.26aA | 2.66± 1.38aA | 4.41± 0.89aA | 2.96± 1.47aB | 2.05± 1.39aB | 3.08± 1.59aA | 1.60± 1.23aB | 1.30± 1.58aB | 3.10± 1.07aA | 1.82± 1.11aB | 1.29± 0.61aB | |||
| N-P limitation | 127.35± 10.34aA | 118.05± 5.02aA | 135.35± 13.48aA | 121.52± 11.36aA | 122.47± 5.23aA | 119.24± 8.29aA | 113.70± 6.54bA | 112.89± 3.50bAB | 107.55± 9.64aB | 129.97± 8.98aA | 124.16± 1.02aA | 111.66± 4.62aB | |||
Table 5
Alpha diversity of bacterial communities of different understory enrichment planting modes and soil layers"
| 林下补植模式 Understory enrichment planting models | 土层深度 Soil layers/cm | Shannon | Simpson | Chao | Ace | Good’s_coverage |
| M0 | 0~20 | 8.47±0.11bA | 0.99±0.00aA | 2 732.87±129.22aA | 2 977.44±146.10aA | 0.98±0.00aA |
| 20~40 | 8.29±0.09bAB | 0.99±0.00aA | 2 582.40±56.97aA | 2 799.72±90.72aA | 0.98±0.00aA | |
| 40~60 | 8.15±0.16bB | 0.99±0.00aA | 2 554.00±145.01aA | 2 768.72±145.01aB | 0.99±0.00aA | |
| M1 | 0~20 | 8.58±0.13abA | 0.99±0.00aA | 2 598.92±149.10abA | 2 681.04±149.10bA | 0.99±0.00aA |
| 20~40 | 8.47±0.25bB | 0.99±0.00aA | 2 446.58±117.69abAB | 2 518.04±118.00bAB | 0.99±0.00aA | |
| 40~60 | 8.27±0.20bB | 0.99±0.00aA | 2 243.27±202.61bB | 2 308.59±212.31bB | 0.99±0.00aA | |
| M2 | 0~20 | 8.76±0.23aA | 0.99±0.00aA | 2 672.73±199.43abA | 2 776.64±206.03bA | 0.98±0.00aA |
| 20~40 | 8.61±0.12aA | 0.99±0.00aA | 2 552.18±118.48abA | 2 645.41±124.25abA | 0.98±0.00aA | |
| 40~60 | 8.64±0.16aA | 0.99±0.00aA | 2 578.67±111.65aA | 2 685.35±114.25aA | 0.98±0.00aA | |
| M3 | 0~20 | 8.49±0.14bA | 0.99±0.00aA | 2 607.91±198.17bA | 2 712.45±198.40bA | 0.98±0.00aA |
| 20~40 | 8.33±0.17bA | 0.99±0.00aA | 2 581.56±188.81bA | 2 688.11±193.05bA | 0.98±0.00aA | |
| 40~60 | 8.51±0.15bA | 0.99±0.00bA | 2 525.03±133.22abA | 2 623.19±138.30aA | 0.98±0.00aA |
|
艾 灵, 吴福忠, 樊雪波, 等. 米槠和杉木人工林土壤酶活性和酶化学计量特征对凋落物输入的短期响应. 应用生态学报, 2024, 35 (3): 631- 638.
doi: 10.13287/j.1001-9332.202403.014 |
|
|
Ai L, Wu F Z, Fan X B, et al. Short-term responses of soil enzyme activities and stoichiometry to litter input in Castanopsis carlesii and Cunninghamia lanceolata plantations. Chinese Journal of Applied Ecology, 2024, 35 (3): 631- 638.
doi: 10.13287/j.1001-9332.202403.014 |
|
| 鲍士旦. 2000. 土壤农化分析. 3版. 北京: 中国农业出版社. | |
| Bao S D. 2000. Soil and agricultural chemistry analysis. 3rd ed. Beijing: China Agriculture Press. [in Chinese] | |
|
陈利云, 王弋博, 李三相, 等. 甘肃省麦积山景区 3 种典型裸子植物土壤微生物群落结构分析. 微生物学通报, 2016, 43 (9): 1939- 1944.
doi: 10.13344/j.microbiol.china.150797 |
|
|
Chen L Y, Wang Y B, Li S X, et al. Microbial community structure of three typical gymnosperms soil in scenic area of Maijishan, Gansu Province.. Microbiology China, 2016, 43 (9): 1939- 1944.
doi: 10.13344/j.microbiol.china.150797 |
|
|
陈 蓉, 王韦韦, 曹丽荣, 等. 马尾松和杉木人工林细根碳氮磷化学计量特征随土层深度的变化. 生态学报, 2023, 43 (9): 3709- 3718.
doi: 10.5846/stxb202203250740 |
|
|
Chen R, Wang W W, Cao L R, et al. Variation of carbon, nitrogen and phosphorus stoichiometric characteristics of fine roots in Masson pine and Chinese fir plantations with soil depth. Acta Ecologica Sinica, 2023, 43 (9): 3709- 3718.
doi: 10.5846/stxb202203250740 |
|
|
杜 菁, 郑亚威, 杨孜奕, 等. 近自然改造模式下闽楠根际土壤微生物群落对杉木间伐保留密度的响应. 应用与环境生物学报, 2025, 31 (3): 441- 451.
doi: 10.19675/j.cnki.1006-687x.2024.02005 |
|
|
Du J, Zheng Y W, Yang Z Y, et al. Response of soil rhizosphere microbes in Phoebe bournei to the Cunninghamia lanceolata thinning retention density under close-to-natural transformation.. Chinese Journal of Applied and Environmental Biology, 2025, 31 (3): 441- 451.
doi: 10.19675/j.cnki.1006-687x.2024.02005 |
|
| 关松荫. 土壤酶活性影响因子的研究: I. 有机肥料对土壤中酶活性及氮磷转化的影响. 土壤学报, 1989, 26 (1): 72- 78. | |
| Guan S Y. Study on influencing factors of soil enzyme activity: I. Effects of organic fertilizer on soil enzyme activity and nitrogen and phosphorus conversion. Acta Pedologica Sinica, 1989, 26 (1): 72- 78. | |
|
厚凌宇, 徐道礼, 徐秀贤, 等. 盐胁迫对不同种类红豆杉生长的影响及其应对方案. 林业科技通讯, 2024 (9): 83- 88.
doi: 10.13456/j.cnki.lykt.2024.05.27.0002 |
|
|
Hou L Y, Xu D L, Xu X X, et al. Effects of salt stress on growth of different Taxus species and coping schemes. Forest Science and Technology, 2024 (9): 83- 88.
doi: 10.13456/j.cnki.lykt.2024.05.27.0002 |
|
| 焦泽南. 2025,. 抚育间伐对杉木人工林林分生长与土壤肥力的影响.. 长沙: 中南林业科技大学. | |
| Jiao Z N. 2025,. Effects of tending thinning on stand growth and soil fertility of Chinese fir plantations.. Changsha: Central South University of Forestry and Technology. [in Chinese] | |
|
姜 俊, 刘宪钊, 贾宏炎, 等. 杉木人工林近自然化改造对林下植被多样性和土壤理化性质的影响. 北京林业大学学报, 2019, 41 (5): 170- 177.
doi: 10.13332/j.1000-1522.20190022 |
|
|
Jiang J, Liu X Z, Jia H Y et al. Effects of stand density on understory species diversity and soil physicochemical properties after close–to–nature transformation management of Chinese fir plantation. Journal of Beijing Forestry University, 2019, 41 (5): 170- 177.
doi: 10.13332/j.1000-1522.20190022 |
|
| 梅俊卿. 2025,. 间伐对杉木根际土壤微生物和代谢物的影响.. 长沙: 中南林业科技大学. | |
| Mei J Q. 2025,. The impact of thinning on soil microorganisms and metabolites in the rhizosphere of Chinese fir plantations. .Changsha: Central South University of Forestry and Technology.[in Chinese] | |
|
屈彦成, 江怡航, 陈涵玥, 等. 杉木人工林林分叶面积动态变化规律. 生态学报, 2024, 44 (13): 5609- 5620.
doi: 10.20103/j.stxb.202304280901 |
|
|
Qu Y C, Jiang Y H, Chen H Y, et al. Dynamic change of stand leaf area for Chinese fir plantation. Acta Ecologica Sinica, 2024, 44 (13): 5609- 5620.
doi: 10.20103/j.stxb.202304280901 |
|
|
盛炜彤. 关于我国人工林长期生产力的保持. 林业科学研究, 2018, 31 (1): 1- 14.
doi: 10.13275/j.cnki.lykxyj.2018.01.001 |
|
|
Sheng W T. On the maintenance of long-term productivity of plantation in China. Forest Research, 2018, 31 (1): 1- 14.
doi: 10.13275/j.cnki.lykxyj.2018.01.001 |
|
| 苏志才. 树种间相互关系分析与混交造林树种选择. 林业科学, 1990, 368- 373. | |
| Su Z C. Analysis on the correlation and selection of tree species for mixed forest. Scientia Silvae Sinicae, 1990, 368- 373. | |
| 王旦媚. 2022,. 金洞林场闽楠人工林近自然改造最适密度研究.. 长沙: 中南林业科技大学. | |
| Wang D M. 2022,. Study on the optimal density of close-to-nature transformation of Phoebe bournei plantations in Jindong forest farm. Changsha: Central South University of Forestry and Technology. [in Chinese] | |
|
魏书蒙, 陈详腾, 赵光宇, 等. 杉木人工林近自然改造对土壤化学性质及酶活性的影响. 生态学报, 2024, 44 (10): 4277- 4287.
doi: 10.20103/j.stxb.202309111951 |
|
|
Wei S M, Chen X T, Zhao G Y, et al. Effects of close-to-nature transformation of Chinese fir plantation on soil chemical properties and enzyme activities. Acta Ecologica Sinica, 2024, 44 (10): 4277- 4287.
doi: 10.20103/j.stxb.202309111951 |
|
|
谢阳生, 孟京辉, 曾 冀, 等. 马尾松人工纯林近自然化改造效果分析. 林业科学研究, 2023, 36 (2): 31- 38.
doi: 10.12403/j.1001-1498.20220459 |
|
|
Xie Y S, Meng J H, Zeng J, et al. Analysis on the effect of close-to-nature transformation of Pinus massoniana pure forest plantation. Forest Research, 2023, 36 (2): 31- 38.
doi: 10.12403/j.1001-1498.20220459 |
|
|
Andrews S S, Karlen D L, Cambardella C A. The soil management assessment framework. Soil Science Society of America Journal, 2004, 68, 1945- 1962.
doi: 10.2136/sssaj2004.1945 |
|
|
Blattert C, Mutterer S, Thrippleton T, et al. Managing European Alpine forests with close-to-nature forestry to improve climate change mitigation and multifunctionality. Ecological Indicators, 2024, 165, 112154.
doi: 10.1016/j.ecolind.2024.112154 |
|
|
Bogati K, Walczak M. The impact of drought stress on soil microbial community, enzyme activities and plants. Agronomy, 2022, 12 (1): 189.
doi: 10.3390/agronomy12010189 |
|
|
Brown H C A, Appiah M, Berninger F A. Old timber plantations and secondary forests attain levels of plant diversity and structure similar to primary forests in the West African humid tropics. Forest Ecology and Management, 2022, 518, 120271.
doi: 10.1016/j.foreco.2022.120271 |
|
|
Bu W S, Gu H J, Zhang C C, et al. Mixed broadleaved tree species increases soil phosphorus availability but decreases the coniferous tree nutrient concentration in subtropical China. Forests, 2020, 11 (4): 461.
doi: 10.3390/f11040461 |
|
|
Caporaso J G, Kuczynski J, Stombaugh J, et al. QIIME allows analysis of high-throughput community sequencing data. Nature Methods, 2010, 7 (5): 335- 336.
doi: 10.1038/nmeth.f.303 |
|
|
Chen S F, Zhou Y Q, Chen Y R, et al. Fastp: an ultra-fast all-in-one FASTQ preprocessorOpen access. Bioinformatics, 2018, 34 (17): i884- i890.
doi: 10.1093/bioinformatics/bty560 |
|
|
Chen X T, Zhao G Y, Li Y L, et al. Close-to-nature management shifts soil phosphorus availability and P-cycling genes in Chinese fir systems. Plant and Soil, 2024, 504 (1): 333- 346.
doi: 10.1007/s11104-024-06629-3 |
|
|
Dengiz O. Soil quality index for paddy fields based on standard scoring functions and weight allocation method. Archives of Agronomy and Soil Science, 2020, 66 (3): 301- 315.
doi: 10.1080/03650340.2019.1610880 |
|
|
Ding K, Zhang Y T, Wang L, et al. Forest conversion from pure to mixed Cunninghamia lanceolata plantations enhances soil multifunctionality, stochastic processes, and stability of bacterial networks in subtropical southern China. Plant and Soil, 2023, 488 (1): 411- 429.
doi: 10.1007/s11104-023-05983-y |
|
|
Ding K, Zhang Y T, Yrjälä K, et al. The introduction of Phoebe bournei into Cunninghamia lanceolata monoculture plantations increased microbial network complexity and shifted keystone taxa. Forest Ecology and Management, 2022, 509, 120072.
doi: 10.1016/j.foreco.2022.120072 |
|
|
Dong W Y, Zhang X Y, Liu X Y, et al. Responses of soil microbial communities and enzyme activities to nitrogen and phosphorus additions in Chinese fir plantations of subtropical China. Biogeosciences, 2015, 12 (18): 5537- 5546.
doi: 10.5194/bg-12-5537-2015 |
|
|
Edgar R C. UPARSE: highly accurate OTU sequences from microbial amplicon reads. Nature Methods, 2013, 10 (10): 996- 998.
doi: 10.1038/nmeth.2604 |
|
|
Frossard E, Condron L M, Oberson A, et al. Processes governing phosphorus availability in temperate soils. Journal of Environmental Quality, 2000, 29 (1): 15- 23.
doi: 10.2134/jeq2000.00472425002900010003x |
|
|
Gao Y, He N P, Yu G R, et al. Long-term effects of different land use types on C, N, and P stoichiometry and storage in subtropical ecosystems: a case study in China. Ecological Engineering, 2014, 67, 171- 181.
doi: 10.1016/j.ecoleng.2014.03.013 |
|
|
Guo J H, Feng H L, McNie P, et al. Species mixing improves soil properties and enzymatic activities in Chinese fir plantations: a meta-analysis. Catena, 2023, 220, 106723.
doi: 10.1016/j.catena.2022.106723 |
|
|
Hu W T, Chen J R, Liu M Y, et al. Mixing with Schima superba enhanced soil fertility and simplified soil microbial community of Eucalyptus urophylla forests. Journal of Soil Science and Plant Nutrition, 2024, 24 (3): 5972- 5987.
doi: 10.1007/s42729-024-01954-z |
|
|
Lei J, Wu H B, Li X Y, et al. Response of rhizosphere bacterial communities to near-natural forest management and tree species within Chinese fir plantations. Microbiology Spectrum, 2023, 11, e02328- 22.
doi: 10.1128/spectrum.02328-22 |
|
|
Li Q, Xu M, Liu G, et al. Cumulative effects of a 17‐year chemical fertilization on the soil quality of cropping system in the Loess Hilly Region, China. Journal of Plant Nutrition and Soil Science, 2013, 176 (2): 249- 259.
doi: 10.1002/jpln.201100395 |
|
|
Li W Y, Sun H M, Cao M M, et al. Diversity and structure of soil microbial communities in Chinese fir plantations and Cunninghamia lanceolata–Phoebe bournei mixed forests at different successional stages. Forests, 2023, 14 (10): 1977.
doi: 10.3390/f14101977 |
|
|
Li X, Zhang Y, Song S M, et al. Bacterial diversity patterns differ in different patch types of mixed forests in the upstream area of the Yangtze River Basin. Applied Soil Ecology, 2021, 161, 103868.
doi: 10.1016/j.apsoil.2020.103868 |
|
|
Li Y Q, Ma J W, Li Y J, et al. Microbial community and enzyme activity respond differently to seasonal and edaphic factors in forest and grassland ecosystems. Applied Soil Ecology, 2024, 194, 105167.
doi: 10.1016/j.apsoil.2023.105167 |
|
|
Lladó S, López-Mondéjar R, Baldrian P. Forest soil bacteria: diversity, involvement in ecosystem processes, and response to global change. Microbiology and Molecular Biology Reviews, 2017, 81 (2): e00063- 16.
doi: 10.1128/mmbr.00063-16 |
|
|
Lu D, Zhu J, Wu D, et al. Detecting dynamics and variations of crown asymmetry induced by natural gaps in a temperate secondary forest using terrestrial laser scanning. Forest Ecology and Management, 2020, 473, 118289.
doi: 10.1016/j.foreco.2020.118289 |
|
|
Ma S H, Chen G P, Tang W G, et al. Inconsistent responses of soil microbial community structure and enzyme activity to nitrogen and phosphorus additions in two tropical forests. Plant and Soil, 2021, 460 (1): 453- 468.
doi: 10.1007/s11104-020-04805-9 |
|
|
Magoč T, Salzberg S L. FLASH: fast length adjustment of short reads to improve genome assembliesFree. Bioinformatics, 2011, 27 (21): 2957- 2963.
doi: 10.1093/bioinformatics/btr507 |
|
|
Ming A G, Yang Y J, Liu S R, et al. A decade of close-to-nature transformation alters species composition and increases plant community diversity in two coniferous plantations. Frontiers in Plant Science, 2020, 11, 1141.
doi: 10.3389/fpls.2020.01141 |
|
|
Moorhead D L, Sinsabaugh R L, Hill B H, et al. Vector analysis of ecoenzyme activities reveal constraints on coupled C, N and P dynamics. Soil Biology and Biochemistry, 2016, 93, 1- 7.
doi: 10.1016/j.soilbio.2015.10.019 |
|
|
Pan C, Sun C C, Qu X J, et al. Microbial community interactions determine the mineralization of soil organic phosphorus in subtropical forest ecosystems. Microbiology Spectrum, 2024, 12 (3): e01355- 23.
doi: 10.1128/spectrum.01355-23 |
|
|
Pribyl D W. A critical review of the conventional SOC to SOM conversion factor. Geoderma, 2010, 156 (3/4): 75- 83.
doi: 10.1016/j.geoderma.2010.02.003 |
|
|
Segata N, Izard J, Waldron L, et al. Metagenomic biomarker discovery and explanation. Genome Biology, 2011, 12 (6): R60.
doi: 10.1186/gb-2011-12-6-r60 |
|
|
Shang Q Y, Ling N, Feng X M, et al. Soil fertility and its significance to crop productivity and sustainability in typical agroecosystem: a summary of long-term fertilizer experiments in China. Plant and Soil, 2014, 381 (1): 13- 23.
doi: 10.1007/s11104-014-2089-6 |
|
|
Shen F F, Wu J P, Fan H B, et al. Soil N/P and C/P ratio regulate the responses of soil microbial community composition and enzyme activities in a long-term nitrogen loaded Chinese fir forest. Plant and Soil, 2019, 436 (1): 91- 107.
doi: 10.1007/s11104-018-03912-y |
|
|
Sinsabaugh R L, Hill B H, Follstad Shah J J. Ecoenzymatic stoichiometry of microbial organic nutrient acquisition in soil and sediment. Nature, 2009, 462 (7274): 795- 798.
doi: 10.1038/nature08632 |
|
|
Spiecker H. Silvicultural management in maintaining biodiversity and resistance of forests in Europe: temperate zone. Journal of Environmental Management, 2003, 67 (1): 55- 65.
doi: 10.1016/S0301-4797(02)00188-3 |
|
|
Wang Q K, Wang S L. Soil microbial properties and nutrients in pure and mixed Chinese fir plantations. Journal of Forestry Research, 2008, 19 (2): 131- 135.
doi: 10.1007/s11676-008-0022-7 |
|
|
Wang Q, Garrity G M, Tiedje J M, et al. Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Applied and Environmental Microbiology, 2007, 73 (16): 5261- 5267.
doi: 10.1128/AEM.00062-07 |
|
|
Wu H L, Xiang W H, Chen L, et al. Soil phosphorus bioavailability and recycling increased with stand age in Chinese fir plantations. Ecosystems, 2020, 23 (5): 973- 988.
doi: 10.1007/s10021-019-00450-1 |
|
|
Xiao W, Chen X, Jing X, et al. A meta-analysis of soil extracellular enzyme activities in response to global change. Soil Biology and Biochemistry, 2018, 123, 21- 32.
doi: 10.1016/j.soilbio.2018.05.001 |
|
|
Xu C Y, Du C, Jian J S, et al. The interplay of labile organic carbon, enzyme activities and microbial communities of two forest soils across seasons. Scientific Reports, 2021, 11, 5002.
doi: 10.1038/s41598-021-84217-6 |
|
|
Yang Z J, Chen S D, Liu X, et al. Loss of soil organic carbon following natural forest conversion to Chinese fir plantation. Forest Ecology and Management, 2019, 449, 117476.
doi: 10.1016/j.foreco.2019.117476 |
|
|
Yemefack M, Jetten V G, Rossiter D G. Developing a minimum data set for characterizing soil dynamics in shifting cultivation systems. Soil and Tillage Research, 2006, 86 (1): 84- 98.
doi: 10.1016/j.still.2005.02.017 |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||