深海环境海洋生态系统监测与修复新技术

The United Nations(UN)’s call for a decade of“ecosystem restoration”was prompted by the need to address the extensive impact of anthropogenic activities on natural ecosystems.Marine ecosystem restoration is increasingly necessary due to increasing habitat degredation in deep waters(>200 m depth).At these depths,which are far beyond those accessible by divers,only established and emerging robotic platforms such as remotely operated vehicles(ROVs),autonomous underwater vehicles(AUVs),landers,and crawlers can operate through manipulators and multiparametric sensor arrays(e.g.,optoacoustic imaging,omics,and environmental probes).The use of advanced technologies for deep-sea ecosystem restoration can provide:①high-resolution three-dimensional(3D)imaging and acoustic mapping of substrates and key taxa,②physical manipulation of substrates and key taxa,③real-time supervision of remote operations and long-term ecological monitoring,and④the potential to work autonomously.Here,we describe how robotic platforms with in situ manipulation capabilities and payloads of innovative sensors could autonomously conduct active restoration and monitoring across large spatial scales.We expect that these devices will be particularly useful in deep-sea habitats,such as①reef-building cold-water corals,②soft-bottom bamboo corals,and③soft-bottom fishery resources that have already been damaged by offshore industries(i.e.,fishing and oil/gas).

Stereovision system for estimating tractors and agricultural machines transit area under orchards canopy

Managing orchards requires delicate agricultural operations being typically carried out in narrow zones where the operators usually drive machineries under stress that could result in poor performance.In such conditions,the use of technology would help manage the machines to reduce the hazardous work and eventual damage to the plants.To safely drive a tractor,the driver needs to be aware of its surroundings,thus a stereovision system can provide helpful information.Stereo imaging has proven to be an effective three-dimensional vision system.Indeed,the range(or third coordinate)information is useful to detect the obstacle distances.Such distances,when detected during agricultural operations,could be used to assist the operator in driving the tractor at regular or variable working speeds and eventually to provide manufacturers useful indications to model the form of ROPS(roll over protection structure).This study aimed to verify the closeness of agreement between manual and stereo-image measurements,and thus to provide helpful information regarding safety and working purposes.The system used a custom low-cost dual web-camera in combination with an image analysis algorithm in order to automatically extract the information needed.Manual independent measurements were carried out using a metric tape(sensitivity 1 cm).A regular structure was used for the analysis:four rows of ten trees each one.Alternated red and blue paper markers were placed on the hazelnut trees(two per tree)of two couples of rows for enhanced visibility.For each couple of trees(one on the right,the other on the left),the four markers formed a trapezoid that was measured.The results of the analysis demonstrated that the stereo vision provided distance measurements with reasonable accuracy(error<5%)in the range of distances lower than 20 m.The resolution assessed for the developed video system is suitable for obtaining distance information in real scenes.This information could be used to assist drivers to operate agricultural machineries through narrow tree rows during work execution.Moreover,such information could be used for safeguarding decision-making and/or for controlling some tractor functions such as continuing moving,changing driving direction,changing 3-point hitch position,reducing transmission speed,halting the tractor.These functions will be necessary before tractors become fully autonomous.Finally,the measured distances,marking the narrow transitions between the tree rows,could be also used to study the ROPS form,both for working safely and for avoiding possible damage caused to the hazel trees laterally.

Volatile organic compound emission and biochemical properties of degraded Ultisols ameliorated by no tillage and liming

TTie Ultisols in the Rana de Canamero area in Southwest Spain showed aluminum(Al)phytotoxicity,and the clearance of natural vegetation and decades of intensive conventional agriculture caused the deplation of soil organic matter(SOM).Therefore,we studied the long-term effects of no tillage and liming using sugar beet foam(SF)and red gypsum(RG),alone or in combination,on the restoration of Ultisols affected by acidification,Al phytotoxicity,and SOM depletion.We measured the main soil chemical properties,soil microbial biomass,soil enzyme activities involved in carbon,nitrogen,phosphorus,and sulfur mineralization,and the emission of volatile organic compounds(VOCs).The results indicated that liming effectively neutralized the soil acidity in the long term and,in combination with no tillage,significantly increased soil microbial biomass and enzyme activities.Twenty-three VOCs were detected using the proton transfer reaction-time of flight(PTR-ToF)technique,and both liming and tillage changed the VOC emission patterns.The greatest difference in VOC emission pattern was observed between no-tilled un-amended soils and tilled lime-amended soils,suggesting the activation of different metabolic pathways within the microbial communities of soils under different management.Differences in VOC emission patterns could be attributed to the decomposition of carbohydrates,which were also sustained by the higher enzyme activities in the lime-amended soils.