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Wei P, Lamont B, He T, Xue W, Wang PC, Song W, Zhang R, Keyhani AB, Zhao S, Lu W, Dong F, Gao R, Yu J, Huang Y, Tang L, Lu K, Ma J, Xiong Z, Chen L, Wan N, Wang B, He W, Teng M, Dian Y, Wang Y, Zeng L, Lin C, Dai M, Zhou Z, Xiao W, Yan Z. Vegetation-fire feedbacks increase subtropical wildfire risk in scrubland and reduce it in forests. J Environ Manage 2024; 351:119726. [PMID: 38052142 DOI: 10.1016/j.jenvman.2023.119726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Revised: 11/20/2023] [Accepted: 11/25/2023] [Indexed: 12/07/2023]
Abstract
Climate dictates wildfire activity around the world. But East and Southeast Asia are an apparent exception as fire-activity variation there is unrelated to climatic variables. In subtropical China, fire activity decreased by 80% between 2003 and 2020 amid increased fire risks globally. Here, we assessed the fire regime, vegetation structure, fuel flammability and their interactions across subtropical Hubei, China. We show that tree basal area (TBA) and fuel flammability explained 60% of fire-frequency variance. Fire frequency and fuel flammability, in turn, explained 90% of TBA variance. These results reveal a novel system of scrubland-forest stabilized by vegetation-fire feedbacks. Frequent fires promote the persistence of derelict scrubland through positive vegetation-fire feedbacks; in forest, vegetation-fire feedbacks are negative and suppress fire. Thus, we attribute the decrease in wildfire activity to reforestation programs that concurrently increase forest coverage and foster negative vegetation-fire feedbacks that suppress wildfire.
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Affiliation(s)
- P Wei
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - B Lamont
- Ecology Section, School of Molecular and Life Sciences, Curtin University, Perth, WA 6845, Australia.
| | - T He
- College of Science Engineering & Education, Murdoch University, Murdoch, WA 6150, Australia.
| | - W Xue
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - P C Wang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W Song
- College of Agronomy, Northwest Agriculture & Forestry University, Xianyang, 712100, China.
| | - R Zhang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - A B Keyhani
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - S Zhao
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W Lu
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - F Dong
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - R Gao
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - J Yu
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Y Huang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - L Tang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - K Lu
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - J Ma
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - Z Xiong
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - L Chen
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - N Wan
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - B Wang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W He
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - M Teng
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Y Dian
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - Y Wang
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - L Zeng
- Key Laboratory of Forest Ecology and Environment, Chinese Academy of Forestry, Beijing, 100091, China.
| | - C Lin
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - M Dai
- Hubei Forestry Survey and Design Institute, East Lake Science and Technology, District, Wuhan, 430074, Hubei, China.
| | - Z Zhou
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
| | - W Xiao
- Key Laboratory of Forest Ecology and Environment, Chinese Academy of Forestry, Beijing, 100091, China.
| | - Z Yan
- Department of Forestry, College of Horticulture and Forestry, Huazhong Agricultural University, Wuhan, 430070, Hubei, China.
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Mahamane S, Wan N, Porter A, Hancock AS, Campbell J, Lyon TE, Jordan KE. Natural Categorization: Electrophysiological Responses to Viewing Natural Versus Built Environments. Front Psychol 2020; 11:990. [PMID: 32587543 PMCID: PMC7298107 DOI: 10.3389/fpsyg.2020.00990] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Accepted: 04/21/2020] [Indexed: 01/14/2023] Open
Abstract
Environments are unique in terms of structural composition and evoked human experience. Previous studies suggest that natural compared to built environments may increase positive emotions. Humans in natural environments also demonstrate greater performance on attention-based tasks. Few studies have investigated cortical mechanisms underlying these phenomena or probed these differences from a neural perspective. Using a temporally sensitive electrophysiological approach, we employ an event-related, implicit passive viewing task to demonstrate that in humans, a greater late positive potential (LPP) occurs with exposure to built than natural environments, resulting in a faster return of activation to pre-stimulus baseline levels when viewing natural environments. Our research thus provides new evidence suggesting natural environments are perceived differently from built environments, converging with previous behavioral findings and theoretical assumptions from environmental psychology.
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Affiliation(s)
- Salif Mahamane
- Department of Behavioral & Social Sciences, Western Colorado University, Gunnison, CO, United States
| | - Nick Wan
- Department of Psychology, Utah State University, Logan, UT, United States
| | - Alexis Porter
- Department of Psychology, Northwestern University, Evanston, IL, United States
| | - Allison S Hancock
- Department of Psychology, Utah State University, Logan, UT, United States
| | - Justin Campbell
- MD-PhD Program, School of Medicine, The University of Utah, Salt Lake City, UT, United States
| | - Thomas E Lyon
- Department of Psychology, Utah State University, Logan, UT, United States
| | - Kerry E Jordan
- Department of Psychology, Utah State University, Logan, UT, United States
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Wan N, Hancock AS, Moon TK, Gillam RB. A functional near-infrared spectroscopic investigation of speech production during reading. Hum Brain Mapp 2017; 39:1428-1437. [PMID: 29266623 DOI: 10.1002/hbm.23932] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 10/28/2017] [Accepted: 12/11/2017] [Indexed: 12/14/2022] Open
Abstract
This study was designed to test the extent to which speaking processes related to articulation and voicing influence Functional Near Infrared Spectroscopy (fNIRS) measures of cortical hemodynamics and functional connectivity. Participants read passages in three conditions (oral reading, silent mouthing, and silent reading) while undergoing fNIRS imaging. Area under the curve (AUC) analyses of the oxygenated and deoxygenated hemodynamic response function concentration values were compared for each task across five regions of interest. There were significant region main effects for both oxy and deoxy AUC analyses, and a significant region × task interaction for deoxy AUC favoring the oral reading condition over the silent reading condition for two nonmotor regions. Assessment of functional connectivity using Granger Causality revealed stronger networks between motor areas during oral reading and stronger networks between language areas during silent reading. There was no evidence that the hemodynamic flow from motor areas during oral reading compromised measures of language-related neural activity in nonmotor areas. However, speech movements had small, but measurable effects on fNIRS measures of neural connections between motor and nonmotor brain areas across the perisylvian region, even after wavelet filtering. Therefore, researchers studying speech processes with fNIRS should use wavelet filtering during preprocessing to reduce speech motion artifacts, incorporate a nonspeech communication or language control task into the research design, and conduct a connectivity analysis to adequately assess the impact of functional speech on the hemodynamic response across the perisylvian region.
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Affiliation(s)
- Nick Wan
- Department of Psychology, Utah State University, Logan, Utah, 84321
| | - Allison S Hancock
- Department of Communicative Disorders and Deaf Education, Emma Eccles Jones Early Childhood Education and Research Center, Utah State University, Logan, Utah, 84321
| | - Todd K Moon
- Department of Electrical and Computer Engineering, Utah State University, Logan, Utah, 84321
| | - Ronald B Gillam
- Department of Communicative Disorders and Deaf Education, Emma Eccles Jones Early Childhood Education and Research Center, Utah State University, Logan, Utah, 84321
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