食用菌产业发展对农业循环经济的影响

针对我国食用菌产业发展对农业循环经济的影响问题,提出了食用菌产业转变生产方式、实施专业化分工协作,以节约经济运行成本;在分析成本效益的基础上,建立了食用菌产业发展的影响因素评价体系,对农业循环经济发展过程中的多种复杂影响因素进行科学评价,重点评价了经济发展的可持续性、经济性和环保性三个影响因素。该评价体系对我国食用菌产业发展对农业循环经济的影响因素做出科学的评价,能够辅助相关政府部门进行经济决策。     

云南野生食用菌生态休闲观光旅游探索

得天独厚的地理环境和悠久的野生食用菌历史,奠定了云南野生食用菌的重要地位与属性,云南也逐渐将野生食用菌资源纳入到生态休闲观光旅游的范畴,并成为云南旅游经济新的增长点。结合云南的野生食用菌栽培及旅游模式开发的现状,发现云南在野生食用菌生态休闲观光旅游探索上存在的问题,通过对问题的分析与解决,对云南野生食用菌的生态休闲观光旅游建设具有一定的指导意义。     

国内土壤环境污染防治进程及展望

综述以中国2005—2019年土壤污染防治进程的3个阶段为主线,总结土壤污染防治发展过程中管理模式、治理体系、管控要求、机构改革、立法支持等5个方面重要转变,分析国家和地方土壤环境保护标准、法律法规政策和主要土壤污染治理成效。针对国内土壤污染防治未来发展趋势,从完善土壤环境标准及管理制度、建设监测及预警大数据平台、加强土壤生态环境国际合作、持续推进土壤修复技术攻关和先行区经验推广等方面提出建议,以期为生态环境高水平保护和经济社会高质量发展提供参考。     

Distribution and diversity of leaf-cutting ants in Northeastern Argentina: species most associated with forest plantations

Abstract

Leaf-cutting ants (LCA) are considered one of the main herbivores and one of the most destructive pest insects of the Neotropics. Northeastern Argentina harbors the greatest species richness of these ants and in turn comprises the highest surface with forest plantations. Our aim was to establish which species of leaf-cutting ants are most commonly associated with forest plantations by analyzing their geographic distribution using published and unpublished species occurrence data. Also, estimate their potential areas of distribution along a latitudinal gradient that entirely encompasses northeastern Argentina using Ecological Niche Modeling. Only seven of the 20 species recorded were strongly associated with productive systems along the gradient, but only 2–3 species in each region could be considered high-risk species for forest plantations. High-risk species composition shows a turnover between regions. Our models show the potential distribution areas where LCA could become more abundant and dominant, and possibly causing a detrimental effect on the forest plantations in the studied region. We find that ecological niche models are useful tools to assess the environmental suitability of important LCA.     

Assessing the efficacy and impact of management of an invasive species in a protected area: Poa annua on sub‐Antarctic Macquarie Island

Plant eradication is difficult, particularly in remote, protected areas. The Southern Ocean Islands are very isolated and highly protected, but the flora contains many alien plants. Small restricted populations have been eradicated, but eradication of established species has proven difficult. A better understanding of the efficacy of control methods at sub‐Antarctic temperatures and their off‐target impacts may increase eradication success. With interest in controlling non‐native Poa annua in the region, we aimed to determine if physical and chemical methods can control P. annua (the sub‐Antarctic biotype) in sub‐Antarctic conditions and examined their impact on native plants. We quantified the effectiveness of physical control methods on P. annua in situ on sub‐Antarctic Macquarie Island through field‐based experiments and assessed their selectivity on P. annua compared with native grasses. We also quantified the effectiveness of several herbicides on P. annua at sub‐Antarctic temperatures and assessed their selectivity on native grasses. Of the four physical disturbance methods tested, none effectively reduced P. annua cover as one‐off treatments. Of the herbicide treatments, glyphosate and trifloxysulfuron sodium were effective and were less damaging to native grass species, indicating potential selectivity. Physical control was of limited effectiveness, but did not affect native species richness. An integrated weed management programme utilising the strategic use of selective herbicides with follow‐up chemical and physical intervention may balance control and biodiversity outcomes. This research highlights the importance of site‐specific testing of control methods and understanding off‐target impacts of control when managing alien plant species in protected areas.     

Prevention and Controlling Effect of Intercropping on Pests and Diseases and Its Risk Control in Cotton Fields

Cotton is one of the major field crops which are seriously threatened by pests and diseases. In recent years, the ecological management of cotton pests and diseases with intercropping has become to be an interesting approach. Intercropping possibly increases the population of natural enemies and finally reduces the population density of pests as a result of changes in ecological structure and environmental conditions of farmland. Intercropping thus has been considered an important alternative in controlling pests and diseases. However, cotton field intercropping also has some limitations in controlling pests and diseases. Unreasonable intercropping system has many risks such as increasing labor input, increasing the difficulty of pests’ control, and aggravating pests and diseases. In this paper, the effects and the underlying mechanisms of cotton intercropping on cotton pests and diseases were reviewed. The possible risks and countermeasures used for ecological control of intercropping were also put forward, and the future and application of ecological management of cotton pests and diseases with intercropping were prospected.     

Assessing the utility of topographic variables in predicting structural complexity of tree stands in a reforested urban landscape

The transformation of natural landscapes into impervious built-up surfaces through urbanization is known to significantly interfere with the ecological integrity of urban landscapes and accelerate climate change and associated impacts. Although urban reforestation is widely recognised as an ideal mitigation practice against these impacts, it often has to compete with other lucrative land uses within an urban area. The often limited urban space provided for reforestation therefore necessitates the optimization of the ecological benefits, which demands spatially explicit information. The recent proliferation of tree stands structural complexity (SSC) and topographic data offer great potential for determining the ecological performance of reforested areas across an urban landscape. This study explores the potential of using topographic datasets to predict SSC in a reforested urban landscape and ranks the value of these topographic variables in determining SSC. Tree structural data from a reforested urban area was collected and fed into a tree stand structural complexity index, which was used to indicate ecological performance. Topographic variables (Topographic Wetness Index, slope, Area Solar Radiation and elevation)- were derived from a Digital Elevation Model (DEM) and used to predict SSC using the Partial Least Squares (PLS) regression technique. Results show that SSC varied significantly between the topographic variables. Results also show that the topographic variables could be used to reliably predict SSC. As expected, the Topographic Wetness Index and slope were the most important topographic determinants of SSC while elevation was the least valuable. These results provide valuable spatially explicit information about the ecological performance of the reforested areas within an urban landscape. Specifically, the study demonstrates the value of topographic data as aids to urban reforestation planning.     

三唑酰草胺在不同类型土壤中的降解特性

为科学评价除草剂三唑酰草胺在土壤环境中的生态风险，采用室内模拟方法，研究了三唑酰草胺在吉林黑土、江西红土和安徽水稻土中的降解特性。结果表明:三唑酰草胺在土壤中的降解符合一级动力学方程。好氧条件下三唑酰草胺在3种土壤中的降解半衰期分别为86.5、106和91.4 d；厌氧条件下半衰期分别为106、130和127 d；水稻田厌氧条件下半衰期分别为162、219和188 d。研究表明，三唑酰草胺在水稻田厌氧条件下的降解速率明显慢于其他2种试验条件下。     

长江流域生物资源及生态环境研究进展

以CNKI平台中的文献数据,利用文献计量学方法,对其文献的增长趋势及期刊分布进行分析,并基于作者和机构合作网络、关键词共现的聚类知识图谱及突变检测等方法,探究我国长江流域生物资源及生态环境主题的研究热点及其研究前沿。研究表明:研究文献总体上呈递增趋势,2016年开始呈现激增态势;作者、机构间的交流合作较少,作者间合作大部分局限在机构内部的研究者之间的合作,合作相对活跃的机构主要有长江科学院、长江流域水资源保护局及长江水利委员会等;其优势学科领域主要为环境科学、区域经济学、水利工程学、农业经济等。当前我国长江流域生物资源及生态环境的研究领域有5个方向:(1)开展长江经济带城市群生态环境评价与保护、城镇化与生态文明建设,以及绿色发展等研究;(2)开展长江三峡与三峡库区的生态环境监测与保护、森林资源养护、水土保持与流失、资源与生态补偿机制研究及其生态环境的可持续发展等研究;(3)开展长江流域自然保护区的生态环境保护与规划、生态保护红线及其生物资源养护与生物多样性保护等研究;(4)在长江大保护背景下,开展长江流域生态环境的保护与修复、流域综合治理,以及水生生物资源的合理开发利用的研究;(5)开展长江源区水电资源开发、水环境保护及其渔业生态环境保护等研究。为科学管理和保护长江流域的重要生物资源,提出建立基于科学设计的全流域生物资源和环境监测系统,建立全流域的生物资源及生态系统的生物数据模型,发展长江流域渔业资源养护与开发的风险评估决策系统,发展长江流域科学的渔业资源增殖放流技术体系,发展基于GIS的长江全流域的渔业资源与环境监测和管理决策信息服务系统等建议。     

Predicting the potential geographic distribution of Bactrocera bryoniae and Bactrocera neohumeralis(Diptera: Tephritidae) in China using MaxEnt ecological niche modeling

Bactrocera bryoniae and Bactrocera neohumeralis are highly destructive and major biosecurity/quarantine pests of fruit and vegetable in the tropical and subtropical regions in the South Pacific and Australia. Although these pests have not established in China, precautions must be taken due to their highly destructive nature. Thus, we predicted the potential geographic distribution of B. bryoniae and B. neohumeralis across the world and in particular China by ecological niche modeling of the Maximum Entropy(Max Ent) model with the occurrence records of these two species. Bactrocera bryoniae and B. neohumeralis exhibit similar potential geographic distribution ranges across the world and in China, and each species was predicted to be able to distribute to over 20% of the globe. Globally, the potential geographic distribution ranges for these two fruit fly species included southern Asia, the central and the southeast coast of Africa, southern North America, northern and central South America, and Australia. While within China, most of the southern Yangtze River area was found suitable for these species. Notably, southern China was considered to have the highest risk of B. bryoniae and B. neohumeralis invasions. Our study identifies the regions at high risk for potential establishment of B. bryoniae and B. neohumeralis in the world and in particular China, and informs the development of inspection and biosecurity/quarantine measures to prevent and control their invasions.