长汀生态恢复区不同混交比例针阔混交林内马尾松种群动态及其驱动机制

doi:10.11707/j.1001-7488.LYKX20230272

Abstract

Abstract:

Objective: This study aims to lay a foundation for further understanding the process of subtropical vegetation reconstruction and restoration by analyzing the population dynamics and driving mechanisms of Pinus massoniana, a typical pioneer species in subtropical ecological restoration in China, in coniferous and broad-leaved mixed forests with different mixing ratios. Method: Based on the survey data of P. massoniana population in four coniferous and broad-leaved mixed forests with different mixing ratios in an ecological restoration area of Changting County, Fujian Province, an integral projection model (IPM) was constructed. Elastic analysis and life table response experiment (LTRE) were used to explore the population dynamics and driving mechanisms of P. massoniana in the mixed forests. Result: The overall performance of the P. massoniana populations in four coniferous and broad-leaved mixed forests was in a continuous decline state (population growth rate λ<1). However, with the increase of the relative abundance of broad-leaved tree species in the stand, the average survival rate, average reproduction rate and λ of P. massoniana individuals increased first and then decreased. Elastic analysis showed that the survival of individuals was the most important for the growth of P. massoniana population in the mixed forest. The positive growth of small-diameter individuals was beneficial to the development of the population, while the effect of reproduction on population growth was relatively limited. With the increase of the relative abundance of broad-leaved tree species, the most important individuals for the growth of P. massoniana population gradually changed from seedlings to adult trees, and the risk of population maintenance gradually increased. Life table response experiments showed that the difference in individual growth was the main source of the difference in population growth of P. massoniana among different mixed forests. Conclusion: With the increase in the proportion of mixed broad-leaved trees, the proportion and importance of seedlings and young trees in P. massoniana population continue to decrease, while the proportion and importance of adult trees continue to increase. The differential response of individual life rate at different life history stages drives changes of P. massoniana population dynamics.

Key words: population dynamics, mixed forest, Pinus massoniana, integral projection model, elasticity analysis, life table response experiment

CLC Number:

S718.5

Ao Liu,Jiazheng Wang,Sihang Lu,Feiya Lei,Hongtao Ning,Yu Teng,Shouzhong Li. Population Dynamics and Driving Mechanism of Pinus massoniana in Coniferous and Broad-Leaved Mixed Forests with Different Mixing Ratios in Changting Ecological Restoration Area[J]. Scientia Silvae Sinicae, 2024, 60(5): 89-97.

Figures/Tables 7

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样地 Plot	样地位置 Location	样地大小 Plot sizes/m²	马尾松平均基径 Average basal diameter of Pinus massoniana/mm	马尾松平均高度 Average height of Pinus massoniana/cm	郁闭度 Canopy density (%)	阔叶树种的相对多度 Relative abundance of broad-leaved tree species in stands (%)	阔叶树种数 Number of broad- leaved tree species
Ⅰ	25.62°N, 116.46°E	900 (30 m×30 m)	46.24±2.06	314.56±24.66	56	5	2
Ⅱ	25.66°N, 116.47°E	800 (40 m×20 m)	41.22±1.76	216.28±18.87	60	20	5
Ⅲ	25.61°N, 116.44°E	800 (40 m×20 m)	55.45±1.48	505.87±37.37	75	35	5
Ⅳ	25.69°N, 116.41°E	400 (20 m×20 m)	153.91±3.04	1 602.92±46.05	88	50	6

种群参数 Population parameters	样地 Plot	函数 Function
存活概率 Survival probability (s)	Ⅰ	Logit(s) = 0.9930(0.3402)+0.0452(0.0124)x n = 338, P<0.01
	Ⅱ	Logit(s) = ?0.5135(0.2623)+0.2262(0.0417)x n = 319, P<0.05
	Ⅲ	Logit(s) = 0.9383(0.4264)+0.0301(0.0122)x n = 191, P<0.05
	Ⅳ	Logit(s )= ?6.2127(2.4342)+0.0747(0.0254)x n = 76, P<0.05
繁殖概率 Reproduction probability (p_r)	Ⅰ	Logit(p_r) = ?2.4412(0.2820)+0.0458(0.0058)x n = 338, P<0.01
	Ⅱ	Logit(p_r) = ?3.8690(0.4221)+0.0639(0.0069)x n = 319, P<0.01
	Ⅲ	Logit(p_r) = ?3.8690(0.4221)+0.0209(0.0042)x n = 191, P<0.01
	Ⅳ	Logit(p_r) = ?3.1124(0.9192)+0.0192(0.0056)x n = 76, P<0.01
生长函数 Growth function (g)/mm	Ⅰ	g = 2.0201(0.5448)+1.0422(0.0092)x n = 338, P<0.05
	Ⅱ	g = ?0.1894(0.1440)+1.0087(0.0074)x n = 319, P<0.05
	Ⅲ	g = ?0.614(0.530)+1.022(0.007)x n = 191, P<0.05
	Ⅳ	g = ?7.6652(3.8148)+1.0433(.0225)x n = 76, P<0.05
生长残差 Growth residuals (σ²)/mm	Ⅰ	σ^２= 18.4101(5.8618)+0.2951(0.0990)x n = 338, P<0.05
	Ⅱ	σ^２= 7.0710(5.1319)+0.2486(0.0866)x n = 319, P<0.05
	Ⅲ	σ^２= 18.0869(7.5845)+0.3051(0.1001)x n = 191, P<0.05
	Ⅳ	σ^２= ?10.3757(4.3228)+0.4887(0.4401)x n = 76, P<0.05
新生幼苗大小分布 Size distribution of newborn seedlings/mm	Ⅰ	正态分布均值 Normal distribution mean = 7.219 方差 Variance = 22.830
	Ⅱ	正态分布均值 Normal distribution mean = 0.553 方差 Variance = 0.134
	Ⅲ	正态分布均值 Normal distribution mean = 1.575 方差 Variance = 5.775
	Ⅳ	正态分布均值 Normal distribution mean = 0.175 方差 Variance = 0.006

样地Plot	Ⅰ	Ⅱ	Ⅲ	Ⅳ
种群增长率 Rate of population increase	0.952 9	0.989 1	0.915 8	0.956 2
置信区间 Confidence interval	0.952 8~ 0.953 0	0.989 1~ 0.989 2	0.909 1~ 0.921 7	0.956 2~ 0.956 3

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Population Dynamics and Driving Mechanism of Pinus massoniana in Coniferous and Broad-Leaved Mixed Forests with Different Mixing Ratios in Changting Ecological Restoration Area

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