Functional diversity dominates positive species mixture effects on ecosystem multifunctionality in subtropical plantations

Li, Xi; Wang, Hui; Luan, Junwei; Chang, Scott X.; Gao, Bing; Wang, Yi; Liu, Shirong

doi:10.1016/j.fecs.2022.100039

Cited by 18 publications

(4 citation statements)

References 73 publications

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“…Thus, it can alleviate soil nutrient loss, especially in the hot and rainy subtropical red soil region [ 60 , 61 ]. Additionally, different litterfall types and root distribution of plants also have distinct effects on soil fertility [ 62 , 63 ]. The present study demonstrated that RZ and TZ improved soil fertility compared with abandoned land.…”

Section: Discussionmentioning

confidence: 99%

Core microbiota drive multi-functionality of the soil microbiome in the Cinnamomum camphora coppice planting

Sun,

Li,

Zhao

et al. 2024

BMC Microbiol

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Background Cinnamomum camphora (L.) Presl (C. camphora) is an evergreen broad-leaved tree cultivated in subtropical China. The use of C. camphora as clonal cuttings for coppice management has become popular recently. However, little is known about the relationship between soil core microbiota and ecosystem multi-functionality under tree planting. Particularly, the effects of soil core microbiota on maintaining ecosystem multi-functionality under C. camphora coppice planting remained unclear. Materials and methods In this study, we collected soil samples from three points (i.e., the abandoned land, the root zone, and the transition zone) in the C. camphora coppice planting to investigate whether core microbiota influences ecosystem multi-functions. Results The result showed a significant difference in soil core microbiota community between the abandoned land (AL), root zone (RZ), and transition zone (TZ), and soil ecosystem multi-functionality of core microbiota in RZ had increased significantly (by 230.8%) compared to the AL. Soil core microbiota played a more significant influence on ecosystem multi-functionality than the non-core microbiota. Moreover, the co-occurrence network demonstrated that the soil ecosystem network consisted of five major ecological clusters. Soil core microbiota within cluster 1 were significantly higher than in cluster 4, and there is also a higher Copiotrophs/Oligotrophs ratio in cluster 1. Our results corroborated that soil core microbiota is crucial for maintaining ecosystem multi-functionality. Especially, the core taxa within the clusters of networks under tree planting, with the same ecological preferences, had a significant contribution to ecosystem multi-functionality. Conclusion Overall, our results provide further insight into the linkage between core taxa and ecosystem multi-functionality. This enables us to predict how ecosystem functions respond to the environmental changes in areas under the C. camphora coppice planting. Thus, conserving the soil microbiota, especially the core taxa, is essential to maintaining the multiple ecosystem functions under the C. camphora coppice planting.

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Section: Discussionmentioning

confidence: 99%

Core microbiota drive multi-functionality of the soil microbiome in the Cinnamomum camphora coppice planting

Sun,

Li,

Zhao

et al. 2024

BMC Microbiol

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“…Because the original Mask R-CNN network can only input images with three channels, hyperspectral data or multispectral data cannot be directly used as input data. Considering that screening three bands from the hyperspectral data or reducing dimension of data into three channels may result in the loss of hyperspectral information [27], in this study, we adjusted the channel dimension of the filters in the first convolutional layer of the backbone network to match the number of channels of the input data (n ∈ [3,271]) so as to realize the direct input of hyperspectral data.…”

Section: Individual Tree Species Identification Modelmentioning

confidence: 99%

“…Tree species identification is a critical task in forest resource investigation [1], and obtaining precise tree species information is significant for forest resource management [2], ecosystems conservation [3], and species diversity assessment [4]. The traditional method of tree species investigation mainly relies on field surveys, which has the advantages of reliability and accuracy and could provide sample data for remote sensing model training and validation [5].…”

Section: Introductionmentioning

confidence: 99%

Individual Tree Species Identification and Crown Parameters Extraction Based on Mask R-CNN: Assessing the Applicability of Unmanned Aerial Vehicle Optical Images

Yao,

Chai,

Lei

et al. 2023

Remote Sensing

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Automatic, efficient, and accurate individual tree species identification and crown parameters extraction is of great significance for biodiversity conservation and ecosystem function assessment. UAV multispectral data have the advantage of low cost and easy access, and hyperspectral data can finely characterize spatial and spectral features. As such, they have attracted extensive attention in the field of forest resource investigation, but their applicability for end-to-end individual tree species identification is unclear. Based on the Mask R-CNN instance segmentation model, this study utilized UAV hyperspectral images to generate spectral thinning data, spectral dimensionality reduction data, and simulated multispectral data, thereby evaluating the importance of high-resolution spectral information, the effectiveness of PCA dimensionality reduction processing of hyperspectral data, and the feasibility of multispectral data for individual tree identification. The results showed that the individual tree species identification accuracy of spectral thinning data was positively correlated with the number of bands, and full-band hyperspectral data were better than other hyperspectral thinning data and PCA dimensionality reduction data, with Precision, Recall, and F1-score of 0.785, 0.825, and 0.802, respectively. The simulated multispectral data are also effective in identifying individual tree species, among which the best result is realized through the combination of Green, Red, and NIR bands, with Precision, Recall, and F1-score of 0.797, 0.836, and 0.814, respectively. Furthermore, by using Green–Red–NIR data as input, the tree crown area and width are predicted with an RMSE of 3.16m2 and 0.51m, respectively, along with an rRMSE of 0.26 and 0.12. This study indicates that the Mask R-CNN model with UAV optical images is a novel solution for identifying individual tree species and extracting crown parameters, which can provide practical technical support for sustainable forest management and ecological diversity monitoring.

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“…In China, the area of plantations has expanded to 8.0 × 10 7 ha in 2021, which translates into an increased terrestrial carbon sink in biomass and soils [3]. Due to poor ecological stability and a decrease in carbon sequestration capacity of monocultures [4] and the higher biodiversity, resistance, and resilience to disturbances of mixed forests [5][6][7], mixed plantations have been proposed and implemented since the last decade. Even though forestation sequesters carbon, the scalability of this land use for meeting warming limitation targets has been questioned due to the sheer amount of land area required [8].…”

Section: Introductionmentioning

confidence: 99%

Effects of Thinning on Carbon Storage in a Mixed Broadleaved Plantation in a Subtropical Area of China

Lin,

Feng,

Huang

et al. 2024

Forests

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Forest thinning is a widely used silvicultural method in forest management and has complex effects on carbon sequestration in different types of forest ecosystems. The present study examined the short-term effects of different thinning intensities on carbon storage in an 11-year-old mixed broadleaved plantation. The results partially supported that different thinning intensities have varying impacts on carbon storage in different parts of forest ecosystems. The main results were as follows: (1) The effect of thinning on promoting the growth of fast-growing tree species (Michelia macclurei Dandy and Schima superba Gardn. et Champ.) was earlier than that of slow-growing tree species (Castanopsis hystrix Miq.). (2) A greater thinning intensity conferred greater effects on promoting the tree biomass carbon growth, litter carbon storage, and understory plant diversity, in the order of 41%~50% > 31%~40% > 20%~30%, but these values were lower than those for the unthinned plots. (3) The soil carbon storage declined most in the 41%~50% thinned plots, due to the reduced carbon storage in the humus layer. (4) The 20%~30% thinning intensity promoted carbon sequestration in the short term in the mixed broadleaved plantation. The results suggested that a lower thinning intensity promoted carbon sequestration in the short term, a greater thinning intensity reduced carbon storage at first, but the negative effect on carbon storage exhibited trade-offs later by the growth of tree and understory plant biomass carbon and the accumulation of litter layer carbon.

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Functional diversity dominates positive species mixture effects on ecosystem multifunctionality in subtropical plantations

Cited by 18 publications

References 73 publications

Core microbiota drive multi-functionality of the soil microbiome in the Cinnamomum camphora coppice planting

Core microbiota drive multi-functionality of the soil microbiome in the Cinnamomum camphora coppice planting

Individual Tree Species Identification and Crown Parameters Extraction Based on Mask R-CNN: Assessing the Applicability of Unmanned Aerial Vehicle Optical Images

Effects of Thinning on Carbon Storage in a Mixed Broadleaved Plantation in a Subtropical Area of China

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