Effects of Grassland Restoration Approaches in Different Major Function-oriented Zones of the Headwater Region of the Yellow River in China

Given the high alpine grassland coverage and intensive animal grazing activity, the ecosystem and livelihood of the herders are extremely vulnerable in the headwater region of the Yellow River. A series of programs have been implemented by the Chinese government to restore degraded grasslands in this region, and major function-oriented zones(MFOZs) applied in 2014, have divided the region into three zones, i.e., the development prioritized, restricted, and prohibited zones, based on environmental carrying capacity, as well as the utilization intensity of grassland. This study identified various restoration approaches adopted in different MFOZs, and assessed the effects of the approaches in order to determine the most effective approaches. We collected 195 questionnaires from herders to analyze the effects of the various restoration approaches, and additional remote sensing and statistical data were also used for the analysis. Four distinct differences in the ecological and socioeconomic characteristics were found in three MFOZs.(1) Five technologies were applied in the study areas.(2) The grassland recovery rate was higher in development prioritized zones than in restricted and prohibited zones during 2000 and 2016, and especially high and very high coverage grasslands increased in the areas where crop-forage cultivation and grass seeding dominated in the prioritized zones.(3) The net income of households in the development prioritized zone was the best of all three zones.(4) The degree of awareness and willingness of herders to restore grassland was more positive in development prioritized zones than in restricted zones, where more herders adopted approaches with a combination of enclosure + deratization + crop-forage cultivation + warm shed. Based on these findings, it is recommended that decision-makers need to increase their efforts to narrow the gap of willingness and behavior between herders and other stakeholders, such as researchers and grassland administrators, in order to ensure grassland sustainability in the MFOZs. It is also beneficial to understand the effects of restoration on the ecological carrying capacities in different zones depending on the different development goals.

Effects of Vegetation Restoration on Soil Organic Carbon in China:A Meta-analysis

Vegetation restoration has been proposed as an effective method for increasing both plant biomass and soil carbon(C) stocks. In this study, 204 publications(733 observations) were analyzed, focusing on the effects of vegetation restoration on soil organic carbon(SOC) in China. The results showed that SOC was increased by 45.33%, 24.43%, 30.29% and 27.98% at soil depths of 0–20 cm, 20–40 cm, 40–60 cm and > 60 cm after vegetation restoration, respectively. Restoration from both cropland and non-cropland increased the SOC content. The conversion of non-cropland was more efficient in SOC accumulation than the conversion of cropland did, especially in > 40 cm layers. In addition, the conversion to planted forest led to greater SOC accumulation than that to other land use did. Conversion period and initial SOC content extended more influence on soil C accumulation as the main factors after vegetation restoration than temperature and precipitation did. The SOC content significantly increased with restoration period after long-term vegetation restoration(> 40 yr), indicating a large potential for further accumulation of carbon in the soil, which could mitigate climate change in the near future.

Relay strategies combined with axon regeneration: a promising approach to restore spinal cord injury

For decades, numerous investigations have only focused on axon regeneration to restore function after traumatic spinal cord injury （SCI）, as interrupted neuronal pathways have to be reconnected for sensorimotor and autonomic recovery to occur. Experimental approaches have ranged from drug delivery and cell transplantation to genetic manipulations. Certainly, it would be an extraordinary achievement for injured axons to regenerate over long distances, to form synapses with target neurons, and to result in dramatic functional improvement. However, these efforts have been rewarded with limited success to date suggesting that axon regeneration alone may be insufficient to repair compromised functions.

Control Approaches to Soil Pollution from Heavy Metals

With the continuous development of human society and economy and the continuous progress of industrial technology,more and more pollutants are discharged into the natural environment,and soil environment is also affected at the same time. Among pollutants leading to soil pollution,heavy metals have resulted in most serious soil pollution. Here,many control and restoration approaches to soil pollution from heavy metals are proposed,and characteristics and applicable conditions of various methods are compared,so as to provide theoretical references for the control and restoration of soil pollution from heavy metals in future.

Classical and state-of-the-art approaches for underwater image defogging: a comprehensive survey

In underwater scenes,the quality of the video and image acquired by the underwater imaging system suffers from severe degradation,influencing target detection and recognition.Thus,restoring real scenes from blurred videos and images is of great significance.Owing to the light absorption and scattering by suspended particles,the images acquired often have poor visibility,including color shift,low contrast,noise,and blurring issues.This paper aims to classify and compare some of the significant technologies in underwater image defogging,presenting a comprehensive picture of the current research landscape for researchers.First we analyze the reasons for degradation of underwater images and the underwater optical imaging model.Then we classify the underwater image defogging technologies into three categories,including image restoration approaches,image enhancement approaches,and deep learning approaches.Afterward,we present the objective evaluation metrics and analyze the state-of-the-art approaches.Finally,we summarize the shortcomings of the defogging approaches for underwater images and propose seven research directions.