国土空间规划新时代旅游规划的定位与转型

我国已经迈入以国土空间规划引领“多规合一”的空间治理新时代,对各专项规划的管控约束性更严、技术性和衔接性要求更高。为此,本文重新审视了旅游规划的性质和地位,并基于产业专项性和空间融合性特征,将旅游规划分为战略规划、协调规划、发展规划和开发规划。以旅游发展规划为示例,提出了六大转型:规划理念从无限思维向边界思维、融合理念和空间思维转变,编制思路从甲方意志向市场导向转变,规划内容从大而全向专而精转变,技术路线从概念逻辑向空间逻辑转变,规划方式从封闭向开放转变,规划技术从缺乏技术到技术融合转变以期推动旅游规划衔接和融入新时代国土空间规划体系,进一步引领中国旅游产业的转型升级和高质量发展。     

张家界城镇居民幸福水平对旅游城镇化集聚的响应识别及测度

以欠发达地区城镇居民幸福水平对旅游城镇化集聚的响应为研究目标,构建二者的响应模型,识别和测度了城镇居民幸福水平对旅游城镇化集聚的响应强度。结果表明:（1）通过对张家界旅游城镇化集聚水平与城镇居民幸福水平进行格兰杰因果检验发现:旅游城镇化集聚是城镇居民幸福水平的单向格兰杰因果关系,即旅游城镇化集聚对城镇居民幸福水平具有正向促进作用。（2）由于受旅游城镇化集聚水平的影响,幸福水平在不同时期也受不同幸福外在因素的影响,关联度从精神文化环境、自然生态环境等非经济因素向社会安全环境、生活质量环境等经济因素转变。（3）旅游城镇化集聚对城镇居民幸福水平的作用路径区别于满足人们物质需求后,再满足非物质需求的传统幸福水平提升路径,而是先被动地改善“非物质”需求后继而带动“物质”需求改善以提升幸福水平。研究成果可为同类欠发达地区通过发展旅游城镇化提升居民幸福水平提供理论支撑及借鉴。     

我国能源资源税改革对城乡居民的收入分配效应——基于CGE模型的分析

通过构建包含7个城镇居民组和5个农村居民组的多收入阶层CGE模型,并将劳动力要素分为农业劳动力、技术工人和生产工人3类,在低税率、实际税率和高税率三种情景下模拟了煤炭、石油和天然气资源税改革单独实施和同时实施对城镇和农村居民的收入分配效应,并对税收补偿措施的效果进行分析.结果表明：单独实施煤炭资源税或天然气资源税改革对城镇居民组收入差距有正向的缩小作用,有利于收入分配公平,但对农村居民组收入差距起到负向的扩大作用,不利于收入分配公平;单独实施石油资源税改革则同时缩小了城镇和居民组的收入差距,有利于收入分配公平;同时实施三类能源资源税改革的收入分配效应与税率组合方式有关;将能源资源税收入以补贴的方式返还给农村居民可以缩小其收入差距,有利于收入分配公平.     

基于空间适宜性评价和人口承载力的贵溪市中心城区城市开发边界的划定

城市开发边界的划定能够合理引导城市空间的有序发展,控制其无序蔓延。论文以典型的资源型城市贵溪市为研究区,从空间适宜性评价、人口承载力、城市规模以及城市总体规划和土地利用总体规划（简称“两规”）衔接等方面探索有效的城市开发边界划定方法。空间适宜性评价综合考虑自然、空间可达性和生态条件,运用聚类分析法确定区域内不宜作为开发建设的生态底线区域和适宜建设开发区域的高低等级,以此确定城市开发边界的发展方向。通过灰色预测GM(1,1)模型预测研究区2020年人口总量,并基于土地资源和水资源承载力验证当地所能容纳的最大人口总量,同时确定城市规模和划定城市开发边界。以空间适宜性评价、人口承载力、城市规模预测、两规衔接和空间形态控制等方法倒逼缩减建设用地,从而划定城市发展的刚性和弹性增长边界。     

Floristics, performance and prognosis of historical trees in the urban forest of Guangzhou City (China)

Outstanding historical trees embedded in cities constitute pertinent environmental assets, yet they are widely threatened in third-world cities. Inadequate understanding of this valuable natural-cum-cultural heritage hinders proper conservation. A case study of Guangzhou in south China evaluated floristic composition, age profile and biomass structure of historical trees, assessed their performance in major habitats (institutional, park and roadside), and established a prognosis for future growth and management. The 348 historical trees examined belonged to only 25 species, vis-à -vis 254 trees in the entire urban forest, dominated by five species and native members. Roadside had more trees, followed by institutional and park, with merely the most common four species shared by all habitats. The limited commonality reflected tree-performance differentiation by habitats exerting selection pressure on species. The institutional growth-regime was more conducive to nurturing high-caliber specimens, whereas park is less capable. Individual species achievement by habitats, derived from tree-count ranking and relative-abundance indices, could inform species choice and tree conservation. Few trees exceeded 300 years of age in the millennium-old city, echoing a history of intense tree—city conflicts. Potential life-span, trunk and crown diameters indicated ample opportunities for further expansion of biomass and landscape impacts, which would be straitjacketed by the tightening urban fabric.     

Cumulative effect assessment in Canada: a regional framework for aquatic ecosystems

Sustainable development of the aquatic environment depends upon routine and defensible cumulative effects assessment (CEA). CEA is the process of predicting the consequences of development relative to an assessment of existing environmental quality. Theoretically, it provides an on-going mechanism to evaluate if levels of development exceed the environment's assimilative capacity; i.e., its ability to sustain itself. In practice, the link between CEA and sustainable development has not been realized because CEA concepts and methods have developed along two dichotomous tracks. One track views CEA as an extension of the environmental assessment (EA) process for project developments. Under this track, stressor-based (S-B) methods have been developed where the emphasis is on local, project-related stressors, their link with aquatic indicators, and the potential for environmental effects through stressor-indicator interactions. S-B methods focus on the proposed development and prediction of project-related effects. They lack a mechanism to quantify existing aquatic quality especially at scales broader than an isolated development. This limitation results in the prediction of potential effects relative to a poorly defined baseline state. The other track views CEA as a broader, regional assessment tool where effects-based (E-B) methods specialize in quantification of existing aquatic effects over broad spatial scales. However, the predictive capabilities of E-B methods are limited because they are retrospective, i.e., the stressor causing the effect is identified after the effect has been measured. When used in isolation, S-B and E-B methods do not address CEA in the context necessary for sustainable development. However, if the strengths of these approaches were integrated into a holistic framework for CEA, an operational mechanism would exist to better monitor and assess sustainable development of our aquatic resources. This paper reviews the existing conceptual basis of CEA in Canada including existing methodologies, limitations and strengths. A conceptual framework for integrating project-based and regional-based CEA is presented.     

Linking Land Cover and Water Quality in New York City’S Water Supply Watersheds

The Catskill/Delaware reservoirs supply 90% of New York City’s drinking water. The City has implemented a series of watershed protection measures, including land acquisition, aimed at preserving water quality in the Catskill/Delaware watersheds. The objective of this study was to examine how relationships between landscape and surface water measurements change between years. Thirty-two drainage areas delineated from surface water sample points (total nitrogen, total phosphorus, and fecal coliform bacteria concentrations) were used in step-wise regression analyses to test landscape and surface-water quality relationships. Two measurements of land use, percent agriculture and percent urban development, were positively related to water quality and consistently present in all regression models. Together these two land uses explained 25 to 75% of the regression model variation. However, the contribution of agriculture to water quality condition showed a decreasing trend with time as overall agricultural land cover decreased. Results from this study demonstrate that relationships between land cover and surface water concentrations of total nitrogen, total phosphorus, and fecal coliform bacteria counts over a large area can be evaluated using a relatively simple geographic information system method. Land managers may find this method useful for targeting resources in relation to a particular water quality concern, focusing best management efforts, and maximizing benefits to water quality with minimal costs.The United States Environmental Protection Agency through its Office of Research and Development funded and managed the research described here. It has been subjected to Agency’s administrative review and approved for publication as an EPA document.     

A Spatial Model to Estimate Habitat Fragmentation and Its Consequences on Long-Term Persistence of Animal Populations

The increasing use of the landscape by humans has led to important diminutions of natural surfaces. The remaining patches of wild habitat are small and isolated from each other among a matrix of inhospitable land-uses. This habitat fragmentation, by disabling population movements and stopping their spread to new habitats, is a major threat to the survival of numerous plant and animal species. We developed a general model, adaptable for specific species, capable of identifying suitable habitat patches within fragmented landscapes and investigating the capacity of populations to move between these patches. This approach combines GIS analysis of a landscape, with spatial dynamic modeling. Suitable habitat is identified using a threshold area to perimeter ratio. Potential movement pathways of species between habitat patches are modeled using a cellular automaton. Habitat connectivity is estimated by overlaying habitat patches with movement pathways. The maximum potential population is calculated within and between connected habitat patches and potential risk of inbreeding within meta-populations is considered. The model was tested on a sample map and applied to scenario maps of predicted land-use change in the Peoria Tri-county region (IL). It (1) showed area of natural area alone was insufficient to estimate the consequences on animal populations; (2) underscored the necessity to use approaches investigating the effect of land-use change spatially through the landscape and the importance of considering species-specific life history characteristics; and (3) highlighted the model's potential utility as an indicator of species likelihood to be affected negatively by land-use scenarios and therefore requiring detailed investigation.     

Economic and Spatial Impacts of an Existing Reserve Network on Future Augmentation

An optimization model for land reservation was developed that explicitly selects parcels in the most compact or contiguous manner possible while meeting habitat requirements and a budget limitation. The model was used to compare the effects of an existing reserve network on future parcel spatial locations and total cost. Using habitat and land value data from Josephine County, Oregon, it was found that a system of existing reserves created by various policies and overseen by different agencies can decrease future reserve compactness and contiguity, and increase total cost. This work suggests that coordinated planning can result in more efficient conservation efforts for less cost.     

Seasonal characteristics of haze observed by continuous visibility monitoring in the urban atmosphere of Kwangju, Korea

Continuous visibility monitoring has been carried out inKwangju, Korea since May 1999. The total light extinctioncoefficient b _ext measured by a transmissometer andreveals seasonal trends in urban visual air quality,especially under hazy conditions with a visual range of lessthan 15 km. Seasonal atmospheric visibility under lowrelative humidity during the winter was observed to be betterthan during any other seasons. Summertime visibility wasseverely degraded due to highly increased light scattering byhygroscopic particles under high humidity atmosphericconditions. Visibility during spring and fall was alsomoderate. However, yellow sand in spring caused the lowestvisibility conditions over the measurement area for a fewdays. With continuous monitoring using the transmissometer,the daily average seasonal visual range was measured to be13.1, 9.2, 11.0, and 13.9 km in spring, summer, falland winter, respectively. Under the atmospheric humiditycondition less than 60%, visual range was observed tobe 16.1, 13.9, 15.1, and 16.6 km in spring, summer,fall, and winter, respectively. The mean light extinctionbudget by sulfate and nitrate aerosols was determined to bethe highest value of 63.71% during the summer and thelowest value of 27.08% during spring. During the `yellow sand dust' period, a mean light extinction budget by soil particles was estimated to be at an unusually high value of 44.22%.