摘要：This study aimed to explore whether reductive soil disinfestation（RSD） is an effective method of controlling continuous cropping obstacle of watermelon. Samples of watermelon continuous cropping soils were treated by RSD in laboratory tests and pot experiments in August 2015 and from December 10,2016 to April 10,2017. The soil samples for the laboratory test were divided into 16 groups,and each group comprised three parallel samples of 100 g（dry soil weight）. Except for the original and control（CK） samples,the 14 other groups of soil samples were treated with different combinations of 1% or 3% alfalfa powder,1% or 3% ammonia（NH3） water,and 1% or 3% acetic acid. The soil samples were placed inside size-five self-styled plastic bags and incubated in a constant-temperature biochemical incubator at 35°C for 14 days after blending,flooding,and sealing. Seven groups of soil samples were designed for the pot experiments based on the laboratory test results. Each group consisted of 30 parallel samples of 3 kg（dry soil weight）. These samples were incubated outdoors for 4 months after mixing with alfalfa powder and/or NH3 and/or acetic acid according to the experimental design,blending,flooding,and sealing. Watermelon seedlings were planted in the air-dried soil samples from May to July in 2017. The results showed that the p H of the soil samples treated by RSD were elevated except for those samples with acetic acid. In addition,the electrical conductivities of the soil samples treated by RSD were effectively adjusted. The presence of soil-borne pathogenic Fusarium oxysporum ***. niveum was significantly suppressed（p 0.05） in soil samples treated by RSD,and the incidence and mortality rate of watermelons planted in these samples were remarkably lower than those planted in the CK and flooded CK soil samples. Therefore,continuous cropping obstacle of watermelon can be controlled by RSD.

摘要：The High Resolution Model Intercomparison Project(HighResMIP)is a unique model intercomparison project in phase 6 of the Coupled Model Intercomparison Project(CMIP6),which is focused on the impact of horizontal *** outputs of the high-and low-resolution versions of CAS FGOALS-f3-H and CAS FGOALS-f3-L for the experiments of the HighResMIP simulations in CMIP6 are described in this *** models and their configurations,experimental settings,and postprocessing methods are all *** FGOALS-f3-H,with a 0.25°horizontal resolution,and CAS FGOALS-f3-L,with a 1°horizontal resolution,were forced by the standard external conditions,and two coordinated sets of simulations were conducted for 1950–2014 and 2015–50 with the Experiment IDs of‘highresSST-present’and‘highresSST-future’,*** model outputs contain multiple time scales including the required hourly mean,three-hourly mean,six-hourly transient,daily mean,and monthly mean *** is reported that the 0.25°CAS FGOALS-f3-H successfully simulates some of the key challenges in climate modeling,including the average lifetime of tropical cyclones,particularly in the western parts of the northern Pacific Ocean,and the diurnal cycle of hourly *** datasets will contribute to the benchmarking of current models for CMIP,and studies of the impacts of horizontal resolutions on climate modeling issues.

摘要：The Mongolian Plateau,a vital ecological barrier in northern China,is of great importance for studying vegetation dynamics in Mongolia against the background of climate *** studies can enhance our understanding of regional vegetation responses to global warming and contribute to the establishment of a stronger ecological barrier in northern ***,we analyzed the spatial and temporal characteristics of the NDVI(normalized difference vegetation index)in Mongolia using 8 km resolution GIMMS NDVI3g data from 1990 to 2022,along with temperature,precipitation,and elevation *** analysis and correlation methods were used to examine the relationships between the NDVI and temperature,as well as *** results showed four important aspects of these relationships.(1)The NDVI in Mongolia increased significantly from 1990 to 2022 at a rate of 0.0015 yr^(-1)(P<0.05).(2)Mongolia’s NDVI increased from 1990 to 2022 in 60.73%of the *** this total,the area with a significant increase accounted for 31.67%and was concentrated on the eastern and western *** area experiencing a significant decrease accounted for 15.67%and was mainly located on the southwestern edges.(3)The NDVI analysis revealed significant increasing trends in all regions except for those at elevations of 1500-2000 *** greatest rate of increase was observed between 500 and 1000 m,and the increasing trend weakened as elevation continued to increase before gradually becoming significant ***,the NDVI increased significantly across different slopes,and the rate of increase decreased as the slope increased.(4)From 1990 to 2022,Mongolia’s NDVI was mostly negatively correlated with *** occurred over 66.75%of the total land area,with 17.21%of the region exhibiting a significant negative correlation,mainly in the ***,the NDVI demonstrated a positive correlation with precipitation,encompassing 86.71%of the total land *** 4

摘要：The permafrost region is one of the most sensitive areas to climate *** global warming,the Mongolian Plateau permafrost is rapidly degrading,and its vegetation ecosystem is seriously *** address this challenge,it is essential to understand the impact of climate change on vegetation at different permafrost degradation stages on the Mongolian *** on the general permafrost distribution,in this study,we divided different permafrost regions and explored the response of vegetation to climate change at different stages of permafrost degradation by the idea of“space instead of time”from 2014 to *** results of the study showed that:(1)Normalized difference vegetation index(NDVI)values showed a decreasing trend,and the proportion of the decreasing region was in the order of sporadic permafrost region>isolated and sparse permafrost region>continuous and discontinuous permafrost regions.(2)The main controlling factors of vegetation growth in permafrost regions are different,air temperature is the main controlling factor of vegetation growth in isolated and sparse permafrost region(r=-0.736)and sporadic permafrost regions(r=-0.522),and precipitation is the main controlling factor of vegetation growth in continuous and discontinuous permafrost region(r=-0.498).(3)The response of NDVI to climate change varies at different stages of permafrost *** the early stages of permafrost degradation,increased land surface temperature(LST)and air temperature favored vegetation growth and increased vegetation cover,whereas increased precipitation impeded vegetation growth;as the permafrost degraded,increased LST and air temperature impeded vegetation growth,whereas increased precipitation promoted vegetation growth.