Meta-analyses of responses of sap flow to changes in environmental factors

doi:10.12302/j.issn.1000-2006.202101029

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (5): 113-120.doi: 10.12302/j.issn.1000-2006.202101029

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Meta-analyses of responses of sap flow to changes in environmental factors

ZHANG Ruiting(), YANG Jinyan(), RUAN Honghua

College of Biology and the Environment, Nanjing Forestry University, Nanjing 210037, China

Received:2021-01-23 Revised:2021-03-26 Online:2022-09-30 Published:2022-10-19
Contact: YANG Jinyan E-mail:ruitingzhang@njfu.edu.cn;yangjy@njfu.edu.cn

Abstract

Abstract:

【Objective】The relationship between sap flow and biotic and abiotic factors was examined at the ecosystem and global scales. The influencing factors were parameterized to estimate the global sap flow, and the impact of human-controlled environmental experiments on sap flow was quantitatively analyzed.【Method】Sap flow data from 106 published studies (2001-2019) were collected for our study by using meta-analysis. The response of the sap flow density (Fd) to biotic and abiotic factors was studied at the ecosystem and global scales, and the relationships among sap flow and different factors including the mean annual temperature (MAT), mean annual precipitation (MAP), saturated vapor pressure deficit (VPD), photosynthetically active radiation (PAR), and the soil moisture content (ρ) was determined using multiple regression.【Result】The diameter at breast height (DBH) and the leaf area index (LAI) were highly correlated with Fd at the ecosystem and global scales. The VPD was negatively correlated with Fd. The Fd was estimated through a parametric model based on MAT, MAP, VPD, DBH and the soil volumetric water content. Different manipulative experiments affected forest transpiration through their effects on the associated environmental factors.【Conclusion】The sap flow is predominantly determined by biological and environmental factors and the degree of influence depends on the ecosystem. Human activities lead to changes in the environmental factors, which in turn affect the sap flow and transpiration.

Key words: sap flow, diameter at breast height, leaf area index, vapor pressure deficit, soil moisture content

CLC Number:

S718.5

ZHANG Ruiting, YANG Jinyan, RUAN Honghua. Meta-analyses of responses of sap flow to changes in environmental factors[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(5): 113-120.

Figures/Tables 5

Table 1

Fig.1

Fig.2

Fig.3

Table 2

Summary of statistical models examined to predict sap flow density globally"

序号 No.	自变量 independent variable	多元线性回归模型 multiple linear regression model	n	RMSE	$R a d j 2$	P
1	δ_MAT, δ_MAP, δ_PAR	d_F=1.33 δ_MAT-0.01 δ_MAP+0.01 δ_PAR-24.85	37	139	0.48	<0.001
2	δ_MAT, δ_MAP, δ_PAR, δ_VPD	d_F=0.99 δ_MAT-0.01 δ_MAP+0.25 δ_PAR-0.07 δ_VPD+17.45	35	124	0.51	<0.001
3	δ_MAT, δ_MAP, D_BH, δ_LAI	d_F=-2.95 δ_MAT+0.01 δ_MAP-0.46 D_BH+8.26 δ_LAI+41.91	21	209	0.50	<0.001
4	δ_MAT, δ_MAP, δ_LAI, δ_VPD	d_F=-4.17 δ_MAT+0.01 δ_MAP+7.00 δ_LAI+2.23 δ_VPD+48.62	21	237	0.51	<0.001
5	δ_MAT, δ_MAP, δ_LAI, ρ	d_F=-4.58 δ_MAT-0.01 δ_MAP+9.12 δ_LAI-0.90 ρ+79.48	16	188	0.62	<0.001
6	δ_MAT, δ_MAP, δ_PAR, ρ	d_F=-0.31 δ_MAT-0.001 δ_MAP-1.25 δ_PAR-1.06 ρ+62.40	21	32	0.68	<0.001
7	δ_MAT, δ_MAP,D_BH, δ_LAI, ρ	d_F=-1.5 δ_MAT-0.02 δ_MAP-0.3 D_BH+1.95 δ_LAI-0.7 ρ+80.00	15	47	0.87	<0.001
8	δ_MAT, δ_MAP, D_BH, δ_VPD, ρ	d_F=1.06 δ_MAT-0.01 δ_MAP-0.64 D_BH-6.00 δ_VPD-1.06 ρ+72.07	30	47	0.75	<0.001
9	δ_MAT, δ_MAP, δ_PAR D_BH, ρ	d_F=0.12 δ_MAT-0.01 δ_MAP-0.21 D_BH-0.66 δ_PAR-2.02 ρ+113.22	19	30	0.70	<0.001
10	δ_MAT, δ_MAP, δ_PAR, δ_VPD, ρ	d_F=0.82 δ_MAT-0.02 δ_MAP+16.72 δ_VPD-0.03 δ_PAR-2.32 ρ+98.76	20	35	0.62	<0.001

Table 2

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森林类型 ecosystem type	样本量 sample size	液流速率/(cm·h^-1) sap flow rate		样本量 sample size	液流密度/(g·m^-2·s^-1) Fd		样本量 sample size	林分年蒸腾/mm annual transpiration
森林类型 ecosystem type	样本量 sample size	均值±标准差 mean±SD	范围 range	样本量 sample size	均值±标准差 mean±SD	范围 range	样本量 sample size	均值±标准差 mean±SD	范围 range
北方森林 boreal forest	4	9.36±2.82	6.84~13.34	17	18.92±13.75^**	4.17~45.56	12	518.85±324.30	176.40~1 093.50
温带森林 temperate forest	20	11.95±6.16	4.54~24.17	47	34.28±23.44^**	8.68~108.33	36	559.20±422.14	122.16~1 835.50
热带森林 tropical forest	10	12.92±7.21	8.30~32.92	22	23.66±21.00	9.94~92.00	22	572.55±293.24	113.05~1 190.00

Meta-analyses of responses of sap flow to changes in environmental factors

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