Floristic composition and edaphic relationships in ferruginous campo rupestre reference ecosystems

Land use change and occupation have led to modifications in the environment causing loss of biodiversity and ecosystem services throughout the planet.Some environments with high economic relevance,such as the ferruginous campo rupestre(rupestrian grassland known as Canga in Brazil),are even more susceptible to severe impacts due to their extreme habitat conditions and low resilience.The determination of reference ecosystems based on the intrinsic characteristics of the ecosystem is essential for conservation as well as to the implementation of ecological restoration.We proposed the reference ecosystem of the three main types of habitats of the ferruginous campo rupestre based on their floristic composition.We described the floristic composition of each habitat and evaluated the physicochemical properties of the soils and the relationship between plants and soils.All three habitats showed high diversity of plant species and many endemic species,such as Chamaecrista choriophylla,Cuphea pseudovaccinium,Lychnophora pinaster,and Vellozia subalata.The distribution of vegetation was strongly related with the edaphic characteristics,with a set of species more adapted to high concentration of base saturation,fine sand,organic carbon,and iron,while another set of species succeeded in more acidic soils with higher S and silt concentration.We provide support for the contention that the ferruginous campo rupestre is a mosaic of different habitats shaped by intrinsic local conditions.Failure to recognize the floristic composition of each particular habitat can lead to inappropriate restoration,increased habitat homogenization and increased loss of biodiversity and ecosystem services.This study also advances the knowledge base for building the reference ecosystem for the different types of ferruginous campo rupestre habitats,as well as a key database for highlighting those species contribute most to community assembly in this diverse and threatened tropical mountain ecosystem.

Automatic extraction and structuration of soil–environment relationship information from soil survey reports

In addition to soil samples, conventional soil maps, and experienced soil surveyors, text about soils(e.g., soil survey reports) is an important potential data source for extracting soil–environment relationships. Considering that the words describing soil–environment relationships are often mixed with unrelated words, the first step is to extract the needed words and organize them in a structured way. This paper applies natural language processing(NLP) techniques to automatically extract and structure information from soil survey reports regarding soil–environment relationships. The method includes two steps:(1) construction of a knowledge frame and(2) information extraction using either a rule-based method or a statistic-based method for different types of information. For uniformly written text information, the rule-based approach was used to extract information. These types of variables include slope, elevation, accumulated temperature, annual mean temperature, annual precipitation, and frost-free period. For information contained in text written in diverse styles, the statistic-based method was adopted. These types of variables include landform and parent material. The soil species of China soil survey reports were selected as the experimental dataset. Precision(P), recall(R), and F1-measure(F1) were used to evaluate the performances of the method. For the rule-based method, the P values were 1, the R values were above 92%, and the F1 values were above 96% for all the involved variables. For the method based on the conditional random fields(CRFs), the P, R and F1 values for the parent material were, respectively, 84.15, 83.13, and 83.64%; the values for landform were 88.33, 76.81, and 82.17%, respectively. To explore the impact of text types on the performance of the CRFs-based method, CRFs models were trained and validated separately by the descriptive texts of soil types and typical profiles. For parent material, the maximum F1 value for the descriptive text of soil types was 90.7%, while the maximum F1 value for the descriptive text of soil profiles was only 75%. For landform, the maximum F1 value for the descriptive text of soil types was 85.33%, which was similar to that of the descriptive text of soil profiles(i.e., 85.71%). These results suggest that NLP techniques are effective for the extraction and structuration of soil–environment relationship information from a text data source.

Updating conventional soil maps by mining soil–environment relationships from individual soil polygons

Conventional soil maps contain valuable knowledge on soil–environment relationships.Such knowledge can be extracted for use when updating conventional soil maps with improved environmental data.Existing methods take all polygons of the same map unit on a map as a whole to extract the soil–environment relationship.Such approach ignores the difference in the environmental conditions represented by individual soil polygons of the same map unit.This paper proposes a method of mining soil–environment relationships from individual soil polygons to update conventional soil maps.The proposed method consists of three major steps.Firstly,the soil–environment relationships represented by each individual polygon on a conventional soil map are extracted in the form of frequency distribution curves for the involved environmental covariates.Secondly,for each environmental covariate,these frequency distribution curves from individual polygons of the same soil map unit are synthesized to form the overall soil–environment relationship for that soil map unit across the mapped area.And lastly,the extracted soil–environment relationships are applied to updating the conventional soil map with new,improved environmental data by adopting a soil land inference model(SoLIM)framework.This study applied the proposed method to updating a conventional soil map of the Raffelson watershed in La Crosse County,Wisconsin,United States.The result from the proposed method was compared with that from the previous method of taking all polygons within the same soil map unit on a map as a whole.Evaluation results with independent soil samples showed that the proposed method exhibited better performance and produced higher accuracy.

The harmonious relationship between land use and environment in Xi’an

In this paper we adopt annual land use conditions change data, land sifting data, social, economic and population data and environment information of nine districts and four counties in Xi＇an city from 1980 to 2000 to analyze its structural and degree change of land use since the 1980s, and calculate the benefits and transformation of land use type. The results show that the non-agricultural land increased rapidly, especially the urban and rural residential spots and industrial and mining （RIM） land use increased mostly rapidly, an increase of 64%. Meanwhile, the intensity of land exploitation was accelerating, land was transformed to industries with better benefit and areas experiencing faster urbanization process. By analyzing the harmonious degree of land exploitation in economic and environmental aspects, we find out that the land use imbalance mainly existed in the municipal area of Xi＇an, and the imbalance index of land use based on GDP and non-agricultural population were respectively 12.37 and 14.67 in 2000, which were far higher than those in other regions. Nevertheless the environmental harmonious degree in the municipal area of Xi＇an ranges between 0.6 and 0.8, which was better than that of suburban area. Some proposals addressing to the problems of harmonious level in all scales, resources utilization, projects management and feasibility analysis and intensive urbanization are also put forward.

Research on Coupling Relationship between Social Economy and Ecological Environment in Jinghe County of Aiby Lake Basin,Xinjiang

Based on the theory of sustainable development,using the theory and method of coupling relationship,the main city of Aiby Lake basin——Jinghe County in Xinjiang is selected. Based on the analyses of natural condition,population growth,land use type and ecological environment,the comprehensive evaluation index systems of socio-economic development level and eco-environment quality in Jinghe County are constructed. Using principal component analysis,a comprehensive evaluation of socio-economic development level and ecological environment quality in Jinghe County is conducted by combining with Excel. Their coupling relationship is studied,and quantitative coordination degree between social economy and ecological environment in Jinghe County is obtained. The results show that in recent 50 years,socio-economic development level in Jinghe County is rising,but the ecological environment quality is falling. Their coupling degree C changes during [- 1. 260, ＋ 0. 482],in other words,their coupling relationship is changing between ＂ reluctant coordination＂ and ＂ not coordination＂. After entering into the 21 stcentury,their coupling relationship is basically ＂ reluctant coordination＂. On this basis,the existing problems in the process of sustainable development in Jinghe County are analyzed,and the suggestions about promoting coordinated development between social economy and ecological environment are put forward.

Desert vegetation distribution and species-environment relationships in an oasis-desert ecotone of northwestern China

Environmental heterogeneity significantly affects the structure of ecological communities.Exploring vegetation distribution and its relationship with environmental factors is essential to understanding the abiotic mechanism(s)driving vegetation succession,especially in the ecologically fragile areas.In this study,based on the quantitative analysis of plant community and environmental factors in 68 plots at 10 different transects in the Minqin oasis-desert ecotone(ODE)of northwestern China,we investigated desert vegetation distribution and species-environment relationships using multivariate analysis.Two-way indicator species analysis(TWINSPAN),detrended correspondence analysis(DCA),and canonical correspondence analysis(CCA)methods were used.A total of 28 species,belonging to 27 genera in 8 families,were identified.Chenopodiaceae,Zygophyllaceae,Gramineae,and Leguminosae were the largest families.Annual and perennial herbs accounted for 28.60%of the total number of plants,while shrubs(42.90%)were the most dominant.Nitraria tangutorum was the constructive species of the desert plant community.We divided the 68 plots surveyed in this study into 7 community types,according to the results of TWINSPAN.The distribution of these 7 communities in the DCA ordination graph showed that species with a similar ecotype were clustered together.Results of CCA indicated that groundwater was the dominant factor influencing vegetation distribution,while distance between plot and oasis(Dis)and soil electrical conductivity(EC)were the local second-order factors.Our study suggests that optimizing the utilization of groundwater in oases is key to controlling the degradation of desert vegetation.The favorable topographic conditions of sand dunes should be fully utilized for vegetal dune stabilization,and the influence of soil salinity on the selection of afforestation tree species should be considered.

Gorgan Bay： a microcosm for study on macrobenthos speciesenvironment relationships in the southeastern Caspian Sea

The relationship between spatial patterns of macrobenthos community characteristics and environmental conditions（salinity, temperature, dissolved oxygen, organic matter content, sand, silt and clay） was investigated throughout the Gorgan Bay in June 2010. Principal components analysis（PCA） based on environmental data separated eastern and western stations. The maximum（4 500 ind./m2） and minimum（411 ind./m2） densities were observed at Stas 1 and 6, respectively. Polychaeta was the major group and Streblospio gynobranchiata was dominant species in the bay. According to Distance Based Linear Models results, macrofaunal total density was correlated with silt percentage and salinity and these two factors explaining 64% of the variability while macrofaunal community structure just correlated with salinity（22% total variation）. In general, western part of the bay showed the highest number of species and biodiversity while, the highest density was found at Sta. 1 and in the middle part of the bay. Furthermore, relationship between diversity indices and macrobenthic species with measured factors is also discussed. Our results confirm the effect of salinity as an important factor on distribution of macrobenthic fauna in south Caspian brackish waters.

乡村旅游与农村人居环境的耦合协调关系及障碍因子诊断——以山西省为例

在构建乡村旅游与农村人居环境评价指标体系的基础上,运用层次分析法、耦合协调度模型等定量分析山西省11个地级市乡村旅游与农村人居环境的耦合协调关系,运用障碍度模型对其耦合协调关系的障碍因子进行诊断。结果表明:(1)各地级市乡村旅游水平、农村人居环境水平的区域差距较大,且二者之间存在明显的空间错位。(2)晋中、临汾和运城为中度耦合协调级乡村旅游领先型,晋城、长治和吕梁为中度耦合协调级同步型,太原和阳泉为中度耦合协调级乡村旅游滞后型,忻州和大同为勉强耦合协调级同步型,朔州为初级耦合协调级乡村旅游滞后型。(3)基础设施、公共服务、产业机构是限制山西省乡村旅游与农村人居环境耦合协调发展的关键障碍因子,且7个维度的障碍分布状况差异较大,各地级市的关键障碍因子并不一致。(4)山西省今后应加强基础设施建设、提升公共服务水平和优化乡村旅游供给,并结合各区域的耦合协调关系及障碍因子状况,采取合理措施推动乡村旅游与农村人居环境持续协调发展。

治理环境再造:理解技术化背景下基层政府治理困境的一个视角

近年来在政府治理过程中技术应用不断深入,其实践效果通常是以一体多面、整体局部差异明显的形式呈现出来的。技术治理的内在变化与政府治理逻辑的根本性变革均引人关注。从中观层面看,技术使政府治理向形式简化、责任共担、监管渗透等方向转变,并导致超越传统科层制的制度控制、条块权力调整的结构重塑、合法性转移的价值置换等结果。基层政府所处的治理环境由此发生了全面的颠覆与革新,正面临着灵活性受限、自主性下降、正当性模糊等困境。技术改革的积极推进应适当考虑基层政府的技术适配性,通过对一线治理主体赋能来加强和引导技术治理,从而实现持续性基层善治。

产教集体行动困境与融合:基于组织场域的结构性分析

产教融合是产业发展的内在规律和现代职业教育高质量发展的必然要求,已成为国家层面的重大战略举措。然而,在实践过程中,产教集体行动困境似乎成为“天然的常态”,这是产教组织场域参与主体、关系系统和制度环境等结构性要素共同作用的结果。破解困境之策在于:主体层面,要正视利益诉求,价值共创共享,提供产教集体行动的持续性动力;关系系统层面,要创新组织形态,提升结构化程度,稳固产教集体行动的共生性空间;制度环境层面,要完备制度性要素,刚柔相济,形成产教集体行动的约束性力量。

东北地区城镇化与资源环境承载力耦合关系的时空变化

理清城镇化与资源环境承载力耦合关系可为城市可持续发展转型提供决策参考。在分析2003—2019年东北地区城镇化与资源环境承载力时空格局的基础上,采用耦合协调度模型定量剖析了二者耦合关系的时空变化特征。结果显示:2003—2019年,东北地区综合城镇化水平提升了114.29%,总体呈现“东高西低”、辽中南城市群和哈长城市群核心城市引领全域发展的局面;资源环境承载力呈增加趋势,增幅36.09%,空间上聚集于哈大线周边区域;资源环境承载力水平与综合城镇化水平的耦合协调度总体上呈上升趋势,近年增幅有所下降,且辽西北、吉林南部和黑龙江西北部耦合协调度相对较低,核心城市和重要城市耦合协调度普遍较高。亟须提升核心城市对中小城镇的辐射引领能力,并加强生态退化地区的环境保护和高质量发展。

城市“亲清”政商关系与企业纳税遵从度

利用《中国城市政商关系排行榜》构建的“亲清”政商关系健康指数及其二级、三级构成指标,基于2017—2019年中国沪深A股上市公司的微观样本,实证考察城市“亲清”政商关系对企业纳税遵从度的影响。研究结果表明:健康的城市“亲清”政商关系有助于提高企业纳税遵从度,特别是对规模小、盈利水平低、治理水平低、成长性高的企业促进作用更大,在高城市等级地区中的提升相比也更高;“亲清”政商关系建设提升企业纳税遵从度的作用主要来自“亲近”方面,且主要体现在政府对企业的关心和公共服务上。鉴于此,各城市政府应充分重视“亲清”政商关系建设,着重于“亲近”指标的优化,持续增强对企业的关心并提升公共服务水平,营造市场化、公平化、便利化的营商环境,更好地提升企业纳税遵从度。

新型政商关系促进民营企业高质量发展:理论与实证

构建新型政商关系有利于进一步激发市场活力和更好发挥市场机制作用,对于促进民营企业高质量发展具有重要意义。民营企业高质量发展是我国实现高质量发展的重要基础,是构建高水平社会主义市场经济体制的重要推动力量。以2017—2021年中国城市政商关系健康指数和民营企业上市公司数据为样本,通过构建双向固定效应模型来考察新型政商关系如何影响民营企业高质量发展。研究结果表明,城市政商关系健康指数提升一个单位,该城市民营企业的全要素生产率则提高11.9%,并且经过一系列稳健性检验后该结果依然成立。从影响机制来看,新型政商关系通过缓解融资约束、鼓励技术创新、提升市场化水平以及激发企业家精神等路径来对民营企业高质量发展产生积极影响。基于此,要促进民营企业高质量发展,首先必须要树立正确的政绩观,着力提高党员干部的市场意识、服务意识,其次加快企业服务体系的构建,最后要完善各部门优化营商环境政策整合机制,强化政策部门和企业之间的协调沟通机制,为促进民营企业高质量发展提供坚实保障。

职住地建成环境对轨道交通通勤行为的非线性影响机制研究——以武汉市为例

改革开放以来中国大城市快速蔓延导致了职住分离及交通拥堵等问题,倡导轨道交通等绿色交通方式出行成为大城市缓解通勤压力的重要手段。当前研究主要以居住地作为地理背景考察建成环境对轨道交通通勤的作用,但较少探索就业地建成环境的影响。本研究以武汉市为例,通过189个轨道站点的刷卡数据识别轨道交通通勤人员并构建通勤出行链,通过梯度提升决策树(GBDT)解析职住地涉及建成环境和轨道站点的30个特征因素对通勤客流量和通勤时间的非线性影响机制。研究发现:①居住地通勤客流量表现为较集中的点状分布,就业地通勤客流量则呈现显著的“中心-外围”结构,职住地两端通勤时间的空间格局均呈中间低、外围高的分布特征;②职住地周边建成环境因素对轨道交通通勤客流量和通勤时间普遍存在非线性影响及阈值效应,整体而言居住地建成环境的相对影响程度高于就业地,但就业地“公司企业数”是影响通勤客流最重要的要素,就业地“与城市中心距离”则是影响通勤时间的首要因素;③职住地周边同一建成环境因素,对于通勤客流量和通勤时间的影响可能截然相反,这与城市轨道交通网络建设和社会实际发展状况相关。研究结果可以更好地理解职住地建成环境与轨道交通通勤行为的关联,有助于促进城市轨道交通和城市职住空间的协调发展。

AGI时代人机共生景观下的媒介化生存:新的延伸、相互形塑与潜在异化

随着Sora的横空出世,人类在某种意义上探索出了AGI时代的入口。当前人类社会已进入深度媒介化阶段,人机协同共生是实现价值最大化的必然路径。本文以媒介环境学派为线索,考察了媒介变迁史与社会结构演变的联系,并从中推演人工智能接入媒介后可能对社会产生的作用。在人机共生景观中,人的媒介化生存需要沿着三重视角展开:一是人与媒介之间超越中介的全新延伸,二是人与媒介彼此塑造共生的复合关系,三是警惕人工智能对人的反向异化。

明清兽灾言说与生态保护意识

明清战乱与人口增长,边荒垦殖扩大,侵犯了野生动物领地,加剧了兽灾爆发。人们杀兽自救,民间叙事者标举捕猛兽器械和捕兽技术。站在人类中心立场上,把野兽完全推到灾害施加者的被告席上。面临野兽袭击,人与家畜亲密依存关系强化,人往往依靠与家畜互助互卫,家畜形象被愈加伦理化。人们还依靠地方官员德行、能力弭灾驱灾;许多边荒地区则以祷神、责神来治理兽灾。对猛兽威胁,明清还多取人兽亲和的神幻想象。地方官也更为积极地表彰资助协力抗灾的百姓。在华夏灾害、御灾与生态学融合的文学书写中,是人与动物关系的一个令人警醒的方面。

辽南海岛型村落空间结构特征分析

要辽南长山群岛位于辽宁省大连市,其四面环海的地理特征导致其村落的生产、生活功能紧密依附自然环境,并在此发展着独特的人居模式。作为一种自诞生就与大陆相隔的生态系统,其空间上的功能组成与结构特征与当地特殊的自然环境紧密相连,具有鲜明的环境特征,海岛型村落则是特殊自然环境下体现人地关系的代表性人居场所。该文结构上采用“宏观—中观—微观”的思维逻辑,对辽南长山群岛整体进行调查研究,并以“人地关系”为出发点,采用一系列图底关系的研究方式对村落各类型空间进行分析并总结出其结构特征,为海岛型村落未来的保护与更新提供设计思路。

基于XGBOOST-SHAP的地铁建成环境与站点出行距离的非线性关系研究

相较于传统地铁客流量特征分析,地铁站点平均出行距离的研究可以更加精细化了解地铁网络客流流动性特征。为探究多重建成环境与站点平均出行距离之间的复杂关系,以西安市地铁系统为研究对象,从土地利用、兴趣点分布、周边交通建成环境、站点自身属性等方面构建11种建成环境指标,建立基于极端梯度提升的XGBOOST-SHAP归因分析架构的可解释性机器学习模型,以揭示两者之间的非线性关系。同时,将该模型拟合回归效果与梯度提升决策树(GBDT)及最小二乘回归(OLS)进行比较,以验证XGBOOST模型在拟合回归效果上的优势。结果表明:XGBOOST模型的R方、平均绝对误差(MAE)、均方误差(MSE)值分别为0.75、0.95、1.36,其拟合效果要优于GBDT与OLS模型。站点平均出行距离呈现出明显的环状分布的空间异质性。SHAP归因分析结果表明:距市中心距离特征贡献最大,路网密度、土地利用混合度、公交线路数量以及住宅数量对出行距离的贡献度也相对较高;POI香农熵指数、餐饮服务点对平均出行距离的正负反馈不明显;其余指标对平均出行距离的影响均呈现出正负反馈机制结合的趋势。研究结果对交通需求分析、线路容量优化、运营效果评估等提供了数据支撑,可有效提高地铁交通便利性,满足不同区域的出行需求并改善整个地铁系统的效率和可持续性。

基于模糊光照处理的田间鲜烟成熟度图像智能判别方法研究

自然环境下田间烟叶受光照影响导致采收机械对烟叶成熟度的判别率较低,为解决此问题,提出一种基于模糊光照处理的田间烟叶成熟度判别模型。首先,使用卷积神经网络分割模型提取感兴趣烟叶区域;其次,构建烟叶区域的分段模型用以建立光照与烟叶颜色信息间的模糊非线性关系,消除光照的影响;然后,统计不同成熟度颜色先验知识,根据先验知识建立自然环境下黄色、绿色模糊关系推理烟叶区域像素点颜色属性并计算黄色面积;最后,构建黄色面积与鲜烟叶成熟度之间的隶属度概率关系,计算烟叶成熟度。使用本研究方法对四川地区云烟87中、上部叶和中川208中、上部叶田间鲜烟叶进行处理,分别获得82.0%、77.0%、75.0%和71%的成熟度分类准确率,普遍优于ELM、SVM和BP神经网络。试验结果表明,提出的田间烟叶成熟度判别方法能够有效克服光照的影响,准确判定不同田间环境烟叶的成熟度,为烟叶智能采集装备视觉系统提供理论基础。

学校体育环境对大学生自我关怀能力的影响研究——以校内人际关系为中介变量

研究学校体育环境对大学生自我关怀能力的影响及校内人际关系在两者中的中介作用.采用类型随机抽样法,抽取江西省5所高校的3718名非体育专业大学生作为研究对象,通过问卷调查收集学校体育环境,大学生自我关怀,校内人际关系等信息,利用SPSS统计软件内置的Process分析工具,构建变量间的中介效应模型,并通过Bootstrap再采样算法考察中介效应的统计显著性.结果表明:学校体育环境与大学生自我关怀能力和校内人际和谐性呈正相关(r=0.217,P<0.001;r=0.065,P<0.01),与校内人际隔阂性呈负相关(r=-0.129,P<0.001);校内人际隔阂性与大学生自我关怀能力呈负相关(r=-0.443,P<0.001),校内人际和谐性与自我关怀能力呈正相关(r=0.247,P<0.001).学校体育环境对大学生自我关怀有着显著的直接效应(β=0.163,P<0.001),校内人际关系的中介效应占总效应的25.62%.学校体育环境对大学生自我关怀能力的发展可产生影响,同时校内人际关系在学校体育环境与大学生自我关怀能力发展中发挥中介作用.