Positive interactions between Pinus massoniana and Castanopsis hystrix species in the uneven-aged mixed plantations can produce more ecosystem carbon in subtropical China

You, Yeming; Huang, Xiao Li; Zhu, Huan; Liu, Shirong; Hongwen, Liang; Yan, Wen; Wang, Hui; Cai, Daoxiong; Ye, Duo

doi:10.1016/j.foreco.2017.08.025

Cited by 43 publications

(28 citation statements)

References 61 publications

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“…To minimize the variability associated with comparing biomass/productivity estimates derived from different methodologies, we selected all references included in the database that (1) included data actually measured in field experiments on P. massoniana stands (not forest inventory data or remote sensing based studies), (2) did not contain severe anthropogenic disturbances, such as close-to-nature transformation, irrigation, and harvest and (3) only included measurements of monospecific stands of P. massoniana; data on mixed stands was excluded. P. massoniana growth is affected by competition with other tree species in mixed stands [22]. The different types of species interactions formed depending on tree species composition, stand age, afforestation density and site conditions bring uncertainties to the evaluation of functions and services of forest ecosystems, including productivity [28].…”

Section: Data Collection and Treatmentsmentioning

confidence: 99%

Net Primary Productivity of Pinus massoniana Dependence on Climate, Soil and Forest Characteristics

Huang

Teng

et al. 2020

Forests

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Understanding the spatial variation of forest productivity and its driving factors on a large regional scale can help reveal the response mechanism of tree growth to climate change, and is an important prerequisite for efficient forest management and studying regional and global carbon cycles. Pinus massoniana Lamb. is a major planted tree species in southern China, playing an important role in the development of forestry due to its high economic and ecological benefits. Here, we establish a biomass database for P. massoniana, including stems, branches, leaves, roots, aboveground organs and total tree, by collecting the published literature, to increase our understanding of net primary productivity (NPP) geographical trends for each tree component and their influencing factors across the entire geographical distribution of the species in southern China. P. massoniana NPP ranges from 1.04 to 13.13 Mg·ha−1·year−1, with a mean value of 5.65 Mg·ha−1·year−1. The NPP of both tree components (i.e., stem, branch, leaf, root, aboveground organs, and total tree) show no clear relationships with longitude and elevation, but an inverse relationship with latitude (p < 0.01). Linear mixed-effects models (LMMs) are employed to analyze the effect of environmental factors and stand characteristics on P. massoniana NPP. LMM results reveal that the NPP of different tree components have different sensitivities to environmental and stand variables. Appropriate temperature and soil nutrients (particularly soil available phosphorus) are beneficial to biomass accumulation of this species. It is worth noting that the high temperature in July and August (HTWM) is a significant climate stressor across the species geographical distribution and is not restricted to marginal populations in the low latitude area. Temperature was a key environmental factor behind the inverse latitudinal trends of P. massoniana NPP, because it showed a higher sensitivity than other factors. In the context of climate warming and nitrogen (N) deposition, the inhibition effect caused by high temperatures and the lack or imbalance of soil nutrients, particularly soil phosphorus, should be paid more attention in the future. These findings advance our understanding about the factors influencing the productivity of each P. massoniana tree component across the full geographical distribution of the species, and are therefore valuable for forecasting climate-induced variation in forest productivity.

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Section: Data Collection and Treatmentsmentioning

confidence: 99%

Net Primary Productivity of Pinus massoniana Dependence on Climate, Soil and Forest Characteristics

Huang

Teng

et al. 2020

Forests

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“…In this paper, genetic algorithm is utilized to search optimal parameters for SVR [27]. x (1) x (2) x (d) h dh h 1…”

Section: Support Vector Machinementioning

confidence: 99%

“…Masson pine is an important species for forestation in southern China due to its broad distribution. It has been widely applied in pulp and building materials, petroleum extraction, and forestry chemicals [1] because of its desirable features including fast growth, high yield, variable light tolerance, and drought resistance [2]. To ensure the quality of masson pine seedlings, the moisture content of seedling leaves is an important evaluation index and should be assessed before plantation.…”

Section: Introductionmentioning

confidence: 99%

Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy

Zhang

Wang

2018

Journal of Electrical and Computer Engineering

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Masson pine is widely planted in southern China, and moisture content of the pine seedling leaves is an important index for evaluating the vigor of seedlings. For precisely predicting leaf moisture content, near-infrared spectroscopy analysis is applied in the experiment, which is a cost-effective, high-speed, and noninvasive material content prediction tool. To further improve the spectroscopy analysis accuracy, in this study, a new analysis model is proposed which integrates a stacked autoencoder for extracting hierarchical output-related features layer by layer and a support vector regression model to leverage these features for precisely predicting moisture contents. Compared with traditional spectroscopy analysis method like partial least squares regression and basic support vector regression, the proposed model shows great superiority for leaf moisture content prediction, with R2 value 0.9946 and root-mean squared error (RMSE) value 0.1636 in calibration set and R2 value 0.9621 and RMSE 0.4249 in prediction set.

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“…However, there are serious concerns regarding monospecific plantations, including stand productivity decrease [4], soil quality degradation [5], and serious exotic plant invasion (e.g., Eucalyptus plantations) [6]. In contrast, multi-species plantations often have higher biodiversity, higher productivity, and better soil quality than single-species plantations [7][8][9]. Theoretically, higher productivity in multi-species compared to single-species plantations can only be expected when species interactions in the multi-species plantations increase the efficiency of resource use or one species increases the supply of a resource [10].…”

Section: Introductionmentioning

confidence: 99%

Coniferous-Broadleaf Mixture Increases Soil Microbial Biomass and Functions Accompanied by Improved Stand Biomass and Litter Production in Subtropical China

Zhou

Yan

et al. 2019

Forests

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Although the advantages of multi-species plantations over single-species plantations have been widely recognized, the mechanisms driving these advantages remain unclear. In this study, we compared stand biomass, litter production and quality, soil properties, soil microbial community, and functions in a Pinus massoniana Lamb. and Castanopsis hystrix Miq. mixed plantation and their corresponding mono-specific plantations after 34 years afforestation in subtropical China. The results have shown that a coniferous-broadleaf mixture created significantly positive effects on stand biomass, litter production, soil microbial biomass, and activities. Firstly, the tree, shrub and herb biomass, and litter production were significantly higher in the coniferous-broadleaf mixed plantation. Secondly, although the concentrations of soil organic carbon (SOC) and total nitrogen (TN) were lower in the mixed stand, the concentrations of soil microbial biomass carbon (MBC), and nitrogen (MBN), along with MBC-to-SOC and MBN-to-TN ratio, were significantly higher in mixed stands with markedly positive admixing effects. We also found higher carbon source utilization ability and β−1, 4−N−acetylglucosaminidase, urease and acid phosphatase activities in mixed stands compared with the mono-species stands. Our results highlight that establishment of coniferous-broadleaf mixed forests may be a good management practice as coniferous-broadleaf mixture could accumulate higher stand biomass and return more litter, resulting in increasing soil microbial biomass and related functions for the long term in subtropical China.

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Positive interactions between Pinus massoniana and Castanopsis hystrix species in the uneven-aged mixed plantations can produce more ecosystem carbon in subtropical China

Cited by 43 publications

References 61 publications

Net Primary Productivity of Pinus massoniana Dependence on Climate, Soil and Forest Characteristics

Net Primary Productivity of Pinus massoniana Dependence on Climate, Soil and Forest Characteristics

Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near-Infrared Spectroscopy

Coniferous-Broadleaf Mixture Increases Soil Microbial Biomass and Functions Accompanied by Improved Stand Biomass and Litter Production in Subtropical China

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