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Article ; Online: Changing Relationships between Nitrogen Content and Leaf Spectral Characteristics of Moso Bamboo Leaves under Pantana phyllostachysae Chao Stress

Zhanghua Xu / Hui Yu / Bin Li / Zhenbang Hao / Yifan Li / Songyang Xiang / Xuying Huang / Zenglu Li / Xiaoyu Guo

Forests, Vol 13, Iss 1752, p

2022 Volume 1752

Abstract: ... in the leaf nitrogen content of Moso bamboo leaves under Pantana phyllostachysae Chao (PPC) stress and leaf ...

Abstract	Nitrogen is an important indicator of vegetation health, but the relationship between changes in the leaf nitrogen content of Moso bamboo leaves under Pantana phyllostachysae Chao (PPC) stress and leaf spectra remains unclear. We analyzed the relationship between the leaf nitrogen content and leaf spectra of Moso bamboo leaves under PPC stress to investigate whether the relationship could be used to detect pests and prevent their spread. We measured the nitrogen content and leaf spectra of Moso bamboo leaves under different damage levels, identified spectral indicators that were correlated with leaf nitrogen content (by removing the envelope and first-order differentiation of the raw spectra), and estimated leaf nitrogen content from the spectral data using regression models. Leaf nitrogen content decreased with increasing pest damage, and the leaf spectral curves changed, with the “green peak” and “red valley” in the visible range disappearing and the slope of the spectral curve decreasing. The wavelength region with the strongest correlation between the nitrogen content and spectral characteristics changed significantly with increasing pest damage, and the correlation in the red-edge region gradually decreased. The fits of nitrogen-content estimation models tended to decrease and then increase with increasing pest damage and were worst among leaves in the moderate damage state (Mo). A disordered relationship between nitrogen content and spectral characteristics indicated possible PPC damage. The degree of disorder was greatest in the Mo state. This study provides theoretical support for remote sensing monitoring of PPC hazards.
Keywords	Pantana phyllostachysae Chao ; Moso bamboo ; nitrogen content ; spectral characteristics ; pest damage ; regression model ; Plant ecology ; QK900-989
Subject code	580
Language	English
Publishing date	2022-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Retrieving chlorophyll content and equivalent water thickness of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress from Sentinel-2A/B images in a multiple LUTs-based PROSAIL framework

Zhanghua Xu / Anqi He / Yiwei Zhang / Zhenbang Hao / Yifan Li / Songyang Xiang / Bin Li / Lingyan Chen / Hui Yu / Wanling Shen / Xuying Huang / Xiaoyu Guo / Zenglu Li

Forest Ecosystems, Vol 10, Iss , Pp 100108- (2023)

2023

Abstract: ... Chao (PPC), weakens the performance of the model for estimating biochemical components of Moso bamboo ...

Abstract	Biochemical components of Moso bamboo (Phyllostachys pubescens) are critical to physiological and ecological processes and play an important role in the material and energy cycles of the ecosystem. The coupled PROSPECT with SAIL (PROSAIL) radiative transfer model is widely used for vegetation biochemical component content inversion. However, the presence of leaf-eating pests, such as Pantana phyllostachysae Chao (PPC), weakens the performance of the model for estimating biochemical components of Moso bamboo and thus must be considered. Therefore, this study considered pest-induced stress signals associated with Sentinel-2A/B images and field data and established multiple sets of biochemical canopy reflectance look-up tables (LUTs) based on the PROSAIL framework by setting different parameter ranges according to infestation levels. Quantitative inversions of leaf area index (LAI), leaf chlorophyll content (LCC), and leaf equivalent water thickness (LEWT) were derived. The scale conversions from LCC to canopy chlorophyll content (CCC) and LEWT to canopy equivalent water thickness (CEWT) were calculated. The results showed that LAI, CCC, and CEWT were inversely related with PPC-induced stress. When applying multiple LUTs, the p-values were <0.01; the R2 values for LAI, CCC, and CEWT were 0.71, 0.68, and 0.65 with root mean square error (RMSE) (normalized RMSE, NRMSE) values of 0.38 (0.16), 17.56 μg·cm‒2 (0.20), and 0.02 cm (0.51), respectively. Compared to the values obtained for the traditional PROSAIL model, for October, R2 values increased by 0.05 and 0.10 and NRMSE decreased by 0.09 and 0.02 for CCC and CEWT, respectively and RMSE decreased by 0.35 μg·cm‒2 for CCC. The feasibility of the inverse strategy for integrating pest-induced stress factors into the PROSAIL model, while establishing multiple LUTs under different pest-induced damage levels, was successfully demonstrated and can potentially enhance future vegetation parameter inversion and monitoring of bamboo forest health and ecosystems.
Keywords	Moso bamboo ; Chlorophyll content ; Equivalent water thickness ; PROSAIL model ; Multiple LUTs ; Pantana phyllostachysae Chao ; Ecology ; QH540-549.5
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	KeAi Communications Co., Ltd.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Retrieving chlorophyll content and equivalent water thickness of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress from Sentinel-2A/B images in a multiple LUTs-based PROSAIL framework

Xu, Zhanghua / He, Anqi / Zhang, Yiwei / Hao, Zhenbang / Li, Yifan / Xiang, Songyang / Li, Bin / Chen, Lingyan / Yu, Hui / Shen, Wanling / Huang, Xuying / Guo, Xiaoyu / Li, Zenglu

Forest Ecosystems. 2023, v. 10 p.100108-

2023

Abstract: ... Chao (PPC), weakens the performance of the model for estimating biochemical components of Moso bamboo ...

Abstract	Biochemical components of Moso bamboo (Phyllostachys pubescens) are critical to physiological and ecological processes and play an important role in the material and energy cycles of the ecosystem. The coupled PROSPECT with SAIL (PROSAIL) radiative transfer model is widely used for vegetation biochemical component content inversion. However, the presence of leaf-eating pests, such as Pantana phyllostachysae Chao (PPC), weakens the performance of the model for estimating biochemical components of Moso bamboo and thus must be considered. Therefore, this study considered pest-induced stress signals associated with Sentinel-2A/B images and field data and established multiple sets of biochemical canopy reflectance look-up tables (LUTs) based on the PROSAIL framework by setting different parameter ranges according to infestation levels. Quantitative inversions of leaf area index (LAI), leaf chlorophyll content (LCC), and leaf equivalent water thickness (LEWT) were derived. The scale conversions from LCC to canopy chlorophyll content (CCC) and LEWT to canopy equivalent water thickness (CEWT) were calculated. The results showed that LAI, CCC, and CEWT were inversely related with PPC-induced stress. When applying multiple LUTs, the p-values were <0.01; the R² values for LAI, CCC, and CEWT were 0.71, 0.68, and 0.65 with root mean square error (RMSE) (normalized RMSE, NRMSE) values of 0.38 (0.16), 17.56 μg·cm‒² (0.20), and 0.02 cm (0.51), respectively. Compared to the values obtained for the traditional PROSAIL model, for October, R² values increased by 0.05 and 0.10 and NRMSE decreased by 0.09 and 0.02 for CCC and CEWT, respectively and RMSE decreased by 0.35 μg·cm‒² for CCC. The feasibility of the inverse strategy for integrating pest-induced stress factors into the PROSAIL model, while establishing multiple LUTs under different pest-induced damage levels, was successfully demonstrated and can potentially enhance future vegetation parameter inversion and monitoring of bamboo forest health and ecosystems.
Keywords	Phyllostachys edulis ; bamboos ; chlorophyll ; ecosystems ; forest health ; forests ; leaf area index ; leaf chlorophyll content ; leaf reflectance ; model validation ; models ; radiative transfer ; Moso bamboo ; Chlorophyll content ; Equivalent water thickness ; PROSAIL model ; Multiple LUTs ; Pantana phyllostachysae Chao ; Sentinel-2A/B images
Language	English
Publishing place	Elsevier B.V.
Document type	Article ; Online
Note	Use and reproduction
ZDB-ID	2760380-5
ISSN	2197-5620
ISSN	2197-5620
DOI	10.1016/j.fecs.2023.100108
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Monitoring the Severity of Pantana phyllostachysae Chao Infestation in Moso Bamboo Forests Based on UAV Multi-Spectral Remote Sensing Feature Selection

Zhanghua Xu / Qi Zhang / Songyang Xiang / Yifan Li / Xuying Huang / Yiwei Zhang / Xin Zhou / Zenglu Li / Xiong Yao / Qiaosi Li / Xiaoyu Guo

Forests, Vol 13, Iss 418, p

2022 Volume 418

Abstract: ... bamboo forests by Pantana phyllostachysae Chao (PPC), a major leaf-eating pest, at 5 cm resolution ...

Abstract	In recent years, the rapid development of unmanned aerial vehicle (UAV) remote sensing technology has provided a new means to efficiently monitor forest resources and effectively prevent and control pests and diseases. This study aims to develop a detection model to study the damage caused to Moso bamboo forests by Pantana phyllostachysae Chao (PPC), a major leaf-eating pest, at 5 cm resolution. Damage sensitive features were extracted from multispectral images acquired by UAVs and used to train detection models based on support vector machines (SVM), random forests (RF), and extreme gradient boosting tree (XGBoost) machine learning algorithms. The overall detection accuracy (OA) and Kappa coefficient of SVM, RF, and XGBoost were 81.95%, 0.733, 85.71%, 0.805, and 86.47%, 0.811, respectively. Meanwhile, the detection accuracies of SVM, RF, and XGBoost were 78.26%, 76.19%, and 80.95% for healthy, 75.00%, 83.87%, and 79.17% for mild damage, 83.33%, 86.49%, and 85.00% for moderate damage, and 82.5%, 90.91%, and 93.75% for severe damage Moso bamboo, respectively. Overall, XGBoost exhibited the best detection performance, followed by RF and SVM. Thus, the study findings provide a technical reference for the regional monitoring and control of PPC in Moso bamboo.
Keywords	UAV multispectral remote sensing ; Moso bamboo forest ; Pantana phyllostachysae Chao ; feature selection ; detection model ; Plant ecology ; QK900-989
Subject code	629
Language	English
Publishing date	2022-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Monitoring the Severity of Pantana phyllostachysae Chao Infestation in Moso Bamboo Forests Based on UAV Multi-Spectral Remote Sensing Feature Selection

Xu, Zhanghua / Zhang, Qi / Xiang, Songyang / Li, Yifan / Huang, Xuying / Zhang, Yiwei / Zhou, Xin / Li, Zenglu / Yao, Xiong / Li, Qiaosi / Guo, Xiaoyu

Forests. 2022 Mar. 05, v. 13, no. 3

2022

Abstract: ... bamboo forests by Pantana phyllostachysae Chao (PPC), a major leaf-eating pest, at 5 cm resolution ...

Abstract	In recent years, the rapid development of unmanned aerial vehicle (UAV) remote sensing technology has provided a new means to efficiently monitor forest resources and effectively prevent and control pests and diseases. This study aims to develop a detection model to study the damage caused to Moso bamboo forests by Pantana phyllostachysae Chao (PPC), a major leaf-eating pest, at 5 cm resolution. Damage sensitive features were extracted from multispectral images acquired by UAVs and used to train detection models based on support vector machines (SVM), random forests (RF), and extreme gradient boosting tree (XGBoost) machine learning algorithms. The overall detection accuracy (OA) and Kappa coefficient of SVM, RF, and XGBoost were 81.95%, 0.733, 85.71%, 0.805, and 86.47%, 0.811, respectively. Meanwhile, the detection accuracies of SVM, RF, and XGBoost were 78.26%, 76.19%, and 80.95% for healthy, 75.00%, 83.87%, and 79.17% for mild damage, 83.33%, 86.49%, and 85.00% for moderate damage, and 82.5%, 90.91%, and 93.75% for severe damage Moso bamboo, respectively. Overall, XGBoost exhibited the best detection performance, followed by RF and SVM. Thus, the study findings provide a technical reference for the regional monitoring and control of PPC in Moso bamboo.
Keywords	Phyllostachys edulis ; forests ; models ; plant pests ; trees ; unmanned aerial vehicles
Language	English
Dates of publication	2022-0305
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2527081-3
ISSN	1999-4907
ISSN	1999-4907
DOI	10.3390/f13030418
Database	NAL-Catalogue (AGRICOLA)

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Book: Yi zhi yu chao yue

Wen, Xiang

Minguo Zhong yi yi zheng

2007

Author's details	Wen Xiang zhu
MeSH term(s)	Medicine, Chinese Traditional/history ; Delivery of Health Care/history ; History, 20th Century
Keywords	China
Language	Chinese
Size	6, 243 p. ;, 24 cm.
Edition	Di 1 ban.
Publisher	Zhongguo Zhong yi yao chu ban she
Publishing place	Beijing
Document type	Book
ISBN	9787802313941 ; 7802313945
Database	Catalogue of the US National Library of Medicine (NLM)

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Book ; Online ; Conference proceedings: Proceedings of the 2020 DigitalFUTURES : The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)

Yuan, Philip F. / Yao, Jiawei / Yan, Chao / Wang, Xiang / Leach, Neil

2021

Keywords	Robotics ; Computer-aided design (CAD) ; Computer modelling & simulation ; Artificial intelligence ; Robotics and Automation ; Computer-Aided Engineering (CAD, CAE) and Design ; Simulation and Modeling ; Control, Robotics, Automation ; Computer Science ; Post-humanist Intelligence ; Computational Design ; Robotic Fabrication ; Human-Machine Collaboration ; AI in Architecture ; Open Access
Size	1 electronic resource (322 pages)
Publisher	Springer Nature
Document type	Book ; Online ; Conference proceedings
Note	English ; Open Access
HBZ-ID	HT021027627
ISBN	978-981-33-4400-6 ; 981-33-4400-8
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Book ; Online ; Conference proceedings: Proceedings of the 2020 DigitalFUTURES

Yuan, Philip F. / Yao, Jiawei / Yan, Chao / Wang, Xiang / Leach, Neil

The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)

2021

Author's details	edited by Philip F. Yuan, Jiawei Yao, Chao Yan, Xiang Wang, Neil Leach
Keywords	Robotics ; Automation ; Computer-aided engineering ; Computer simulation
Subject code	629.892
Language	English
Size	1 Online-Ressource (XI, 322 p. 281 illus., 231 illus. in color)
Edition	1st ed. 2021
Publisher	Springer Singapore ; Imprint: Springer
Publishing place	Singapore
Document type	Book ; Online ; Conference proceedings
HBZ-ID	HT020801187
ISBN	978-981-33-4400-6 ; 9789813343993 ; 9789813344013 ; 9789813344020 ; 981-33-4400-8 ; 9813343990 ; 9813344016 ; 9813344024
DOI	10.1007/978-981-33-4400-6
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Correction to: Analysis of risk factors for stenosis after laparoscopic pyeloplasty in the treatment of ureteropelvic junction obstruction.

Chen, Ruilong / Jiang, Chao / Li, Xiang / Yang, Chao / Zhu, Tengfei / Wang, Yi

International urology and nephrology

2024

Language	English
Publishing date	2024-03-04
Publishing country	Netherlands
Document type	Published Erratum
ZDB-ID	204048-7
ISSN	1573-2584 ; 0301-1623 ; 0042-1162
ISSN (online)	1573-2584
ISSN	0301-1623 ; 0042-1162
DOI	10.1007/s11255-024-04013-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Association between oxidative balance score and prostate specific antigen among older US adults.

Li, Jintao / Yang, Chao / Xiang, Kui

Frontiers in public health

2024 Volume 11, Page(s) 1336657

Abstract: Objective: Oxidative Balance Score (OBS) is an index affecting the oxidative stress of dietary and lifestyle factors. We aimed to explore the association of OBS with prostate specific antigen (PSA) among older males.: Methods: A total of 5,136 ... ...

Abstract	Objective: Oxidative Balance Score (OBS) is an index affecting the oxidative stress of dietary and lifestyle factors. We aimed to explore the association of OBS with prostate specific antigen (PSA) among older males. Methods: A total of 5,136 samples were collected in this study to investigate the relationship between OBS and PSA from the National Health and Nutrition Examination Survey. Logistic regression models and restricted cubic spline were used to assess the associations between OBS and PSA. Results: Compared with the Q1 group, the odds ratios for the association between OBS and PSA were 1.005 (1.003, 1.009), 1.003 (1.001, 1.006), and 1.001 (0.978, 1.022) for Q2, Q3, and Q4, respectively. In the age-specific analyses, the association was significant among individuals aged 65 years old and over: the odds ratios for the association between OBS and PSA were 1.019 (1.005, 1.028), 1.028 (1.018, 1.039), and 1.038 (1.022, 1.049) for Q2, Q3, and Q4, respectively. But it was not significant among individuals aged less than 65 years old: the odds ratios for the association between OBS and PSA were 1.016 (0.995, 1.026), 1.015 (0.985, 1.022), and 0.988 (0.978, 1.016) for Q2, Q3, and Q4, respectively. The restricted cubic splines also indicated a nonlinear relationship between OBS and PSA among individuals aged 65 years old and over ( Conclusion: Our findings provide evidence that OBS is positively associated with higher levels of PSA among older adults. Further large-scale prospective cohort studies are needed to verify our findings.
MeSH term(s)	Aged ; Humans ; Male ; Middle Aged ; Diet ; Nutrition Surveys ; Oxidative Stress ; Prospective Studies ; Prostate-Specific Antigen
Chemical Substances	Prostate-Specific Antigen (EC 3.4.21.77)
Language	English
Publishing date	2024-01-22
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2711781-9
ISSN	2296-2565 ; 2296-2565
ISSN (online)	2296-2565
ISSN	2296-2565
DOI	10.3389/fpubh.2023.1336657
Database	MEDical Literature Analysis and Retrieval System OnLINE

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