Territorial spatial ecological restoration is a crucial prerequisite for optimizing the territorial spatial patterns,enhancing the ecosystem functions,and achieving sustainable development at the regional scale.The Qa...Territorial spatial ecological restoration is a crucial prerequisite for optimizing the territorial spatial patterns,enhancing the ecosystem functions,and achieving sustainable development at the regional scale.The Qaidam Basin,located in the alpine arid region of the Qinghai–Xizang Plateau,China,is experiencing desertification,biodiversity loss,soil erosion,and environmental pollution.Selecting the Qaidam Basin as the study area,we identified 9 ecological sources in the region using the Morphological Spatial Pattern Analysis(MSPA)method and the landscape connectivity assessment,and extracted 10 significant corridors and 26 general corridors using the Minimum Cumulative Resistance(MCR)and Gravity models.Then,we determined 114 ecological"pinch points"and 42 ecological barrier points by employing the Circuit Theory,thereby constructing the ecological security pattern of the area.Further,we evaluated the ecosystem health of the Qaidam Basin during 2003–2023 using the Vitality–Organization–Resilience–Service(VORS)model.Finally,we integrated ecosystem health assessment and ecological security pattern to comprehensively identify the key areas for ecological restoration in the Qaidam Basin.The results revealed that the ecosystem in the basin fluctuated toward a healthier state from 2003 to 2023.The average ecosystem health index(EHI)for the basin decreased from 0.34 in 2003 to 0.28 in 2013,followed by a substantial recovery to 0.36 in 2023.Higher EHI values were found in the northeastern,southeastern,and southwestern fringes and lower values were located in the basin interior and northwestern region.During 2003–2023,the areas that exhibited a decrease in EHI were primarily located in the interior and northwestern regions of the basin,while those that exhibited an increase in EHI were located in the northeastern,southeastern,and southwestern fringes,demonstrating expanded spatial differences.This may be attributed to the fact that once an eco-environment is damaged,the ecological recovery of the vulnerable areas within the eco-environment will be slow and difficult.This study identified four types of ecological restoration areas,including corridor connectivity,artificial restoration,ecological recovery,and ecological enhancement zones,covering a total area of 6034.7 km2,and proposed targeted ecological restoration strategies according to these different categories.Our findings can serve as a valuable reference for optimizing the territorial spatial patterns,enhancing the ecosystem functions,and promoting sustainable development in the Qaidam Basin.展开更多
With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vesti...With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vestibulo-ocular reflex (VOR) model. By changing the initial inputs to the GA and fixing two parameters pertaining to the horizontal direction, we achieved improved parameter identification with a lower mean-square error. The influence of driver distraction on eye movement with changes in gaze direction was evaluated from the difference between the predicted and observed VOR in the vertical axis. When a driver was given an additional mental workload, the mean-square error between the measured and simulated values was bigger than that in the absence of the mental workload. This confirmed the relationship between driver distraction and eye movement in the vertical direction. We hope that this method can be applied in evaluating driver distraction.展开更多
文摘探究广西北部湾经济区(以下简称“研究区”)2001-2020年生态系统健康时空动态变化特征,可为研究区生态系统健康和社会经济可持续发展提供数据支持与理论参考。耦合“活力组织弹性”(Vigor Organization Resilience,VOR)模型、生态系统服务和权衡的综合评估(Integrated Valuation of Ecosystem Services and Trade offs,InVEST)模型构建生态系统健康多指标评价体系,并建立最小二乘法优化赋权模型对各评价指标进行优化赋权,对研究区生态系统健康状况进行评价与分析。结果表明:①研究区近20年来生态系统健康等级为三级的区域面积占研究区总面积的85%左右,且处于相对较为稳定的变化状态,研究区生态系统健康整体处于一般健康水平以上;②研究区生态系统健康状况总体上呈现北部、西部和南部地区优于中部和东部地区的空间分布差异;③研究区生态系统健康等级转移呈现以稳定型为主、退化型面积略大于改善型面积的空间变化特征,生态系统健康状况总体呈现轻微恶化趋势;④对研究区6个城市的生态系统健康从时间尺度和空间尺度对比分析发现,崇左、防城港、钦州3市生态系统健康状况变化较为明显,而南宁、玉林、北海3市相对较为平缓,但各市健康等级空间分布变化趋势较为吻合。本研究结果对推动广西北部湾经济区生态文明建设协调发展具有实际意义。
基金supported by the National Natural Science Foundation of China(41961045)the Shanxi Province Basic Research Program(202103021223253).
文摘Territorial spatial ecological restoration is a crucial prerequisite for optimizing the territorial spatial patterns,enhancing the ecosystem functions,and achieving sustainable development at the regional scale.The Qaidam Basin,located in the alpine arid region of the Qinghai–Xizang Plateau,China,is experiencing desertification,biodiversity loss,soil erosion,and environmental pollution.Selecting the Qaidam Basin as the study area,we identified 9 ecological sources in the region using the Morphological Spatial Pattern Analysis(MSPA)method and the landscape connectivity assessment,and extracted 10 significant corridors and 26 general corridors using the Minimum Cumulative Resistance(MCR)and Gravity models.Then,we determined 114 ecological"pinch points"and 42 ecological barrier points by employing the Circuit Theory,thereby constructing the ecological security pattern of the area.Further,we evaluated the ecosystem health of the Qaidam Basin during 2003–2023 using the Vitality–Organization–Resilience–Service(VORS)model.Finally,we integrated ecosystem health assessment and ecological security pattern to comprehensively identify the key areas for ecological restoration in the Qaidam Basin.The results revealed that the ecosystem in the basin fluctuated toward a healthier state from 2003 to 2023.The average ecosystem health index(EHI)for the basin decreased from 0.34 in 2003 to 0.28 in 2013,followed by a substantial recovery to 0.36 in 2023.Higher EHI values were found in the northeastern,southeastern,and southwestern fringes and lower values were located in the basin interior and northwestern region.During 2003–2023,the areas that exhibited a decrease in EHI were primarily located in the interior and northwestern regions of the basin,while those that exhibited an increase in EHI were located in the northeastern,southeastern,and southwestern fringes,demonstrating expanded spatial differences.This may be attributed to the fact that once an eco-environment is damaged,the ecological recovery of the vulnerable areas within the eco-environment will be slow and difficult.This study identified four types of ecological restoration areas,including corridor connectivity,artificial restoration,ecological recovery,and ecological enhancement zones,covering a total area of 6034.7 km2,and proposed targeted ecological restoration strategies according to these different categories.Our findings can serve as a valuable reference for optimizing the territorial spatial patterns,enhancing the ecosystem functions,and promoting sustainable development in the Qaidam Basin.
文摘With the aim of improving parameter identification and, eventually, evaluating driver distraction with changes in gaze direction, we applied a genetic algorithm (GA) method to identify parameters for an existing vestibulo-ocular reflex (VOR) model. By changing the initial inputs to the GA and fixing two parameters pertaining to the horizontal direction, we achieved improved parameter identification with a lower mean-square error. The influence of driver distraction on eye movement with changes in gaze direction was evaluated from the difference between the predicted and observed VOR in the vertical axis. When a driver was given an additional mental workload, the mean-square error between the measured and simulated values was bigger than that in the absence of the mental workload. This confirmed the relationship between driver distraction and eye movement in the vertical direction. We hope that this method can be applied in evaluating driver distraction.
