基于遥感技术的城市下垫面参数与热环境关系的研究——以北京市朝阳区为例

城市热岛（UHI）不仅直接关系到城市人居环境质量和居民健康状况,同时还对城市能源消耗、生态系统过程演变、生物物候以及城市经济可持续发展有着深远的影响。以北京市朝阳区2002—2017年夏季4期Landsat系列遥感影像为数据,采用大气反演法,对15年间朝阳区城市地表温度（LST）时空变化进行分析,发现15年间朝阳区城市热岛比例指数上升迅速,热岛效应逐年加剧。进一步研究表明,城市地表温度与归一化植被指数（NDVI）及归一化建筑指数（NDBI）密切相关：地表温度与NDBI正相关,NDBI指数每升高0.1,地表升温0.79~2.37°C;与NDVI指数负相关,NDVI指数每提高0.1,地表降温0.4~0.77°C。本研究可为城市规划建设与城市绿地营建提供科学具体的参考指导依据,并促进生态可持续发展与人居环境改善。     

风景园林与绿色基础设施在城市流域水资源规划中的重要作用

通过绿色基础设施途径,处理美国波士顿北部的马萨诸塞州城市流域的水资源规划问题。从多个尺度为风景园林师提供水资源规划的经验与启发,探究公众对新型绿色基础设施解决方案的态度与偏好,以及公众偏好对于整体规划设计的重要作用。     

流域视野下梯田聚落的人居环境空间特征——以元江流域为例

针对村落人居环境研究过于注重村落本体的现状,以GIS的技术方法结合实地调研,选取梯田聚落所处的元江流域及典型样本大瓦遮河子流域为研究范围,探讨流域视野下人居环境空间的宏观与微观特征。结论如下：1）哀牢山区的崎岖山脉与密集水系造就了元江流域的格局,以水平、垂直特征奠定子流域尺度中梯田聚落的人居环境基础;2）大瓦遮河子流域的人居环境以“典型山地本底、帚状水系关联”为共性,在中低山区形成“面状森林核心、村落散布周边、旱地梯田混合”的彝族聚落区,在中山区形成“面状梯田核心、村落环绕周边、带状森林围合”的哈尼族聚落区,二者差异源自不同民族适应垂直分异效应的差异化农作策略;3）流域是人居环境研究的基本单元,超越村落本体之外的流域视野对复杂地理环境中的人居环境研究具有重要价值与普遍意义。     

景观类型——面向当代风景园林学的一种分类法

当代风景园林项目中所蕴含的设计哲学和形式来源缺乏一种系统的分类与讨论。通过提出11种类型,构建一种当代分类法。这些类型包括：场所精神、反传统主义、奇观、赛博格、数字景观、不确定性、管理主义、行动主义、弹性、景观都市主义和宏大规划。分类不企图将风景园林师的所有工作归入明确类型,而是强调其可识别性特质,不仅对特定项目,对整个风景园林学科也具有重要作用。每一种类型既可作为潜在语言工具,为当代设计构建更广泛的讨论基础,又可作为明确主题,帮助设计师更自觉地探索设计的原创性。望以此激发对景观类型的讨论。     

关于（荒野）殖民化

由于人类体验自然的渴望日益增长,在政治和实践层面,在城市中提供接触自然的机会显得越来越必要。关于“城市荒野”的思想和规划旨在提供一种特殊的自然体验。鉴于不同荒野思想之间存在冲突,风景园林师必须设法了解已有的荒野认知及其含义。通过 3 个荒野类别—“未知荒野”“特定荒野”和“过程荒野”,探讨发展千年的荒野理念,并提出“殖民化”（colonisations）概念作为理解荒野理念发展的一个关键。自然过程伴随着动植物对空间的殖民,而人类进入和占有空间的殖民过程则包含生理、心理和精神 3 个层面的内容。空间命名是一种特殊的、具有精神和象征意味的殖民化形式。例如,人类在城市中发现野生植被,称其为“野性自然”或“城市荒野”。然而,如今大多数（尤其官方）的荒野定义中均排除了人类干扰：一旦被殖民,真正的荒野就不复存在。科学研究对自然过程的殖民化已取得很多成果,但对于人类有关自然和荒野的认知和态度了解并不多。对于风景园林师来说,这有助于更好地理解如何“基于自然进行设计和建造”,对创造令人满意的景观也非常重要。探讨与“城市荒野”有关的论述、规划和设计观点及思想。 由于人类体验自然的渴望日益增长,在政治和实践层面,在城市中提供接触自然的机会显得越来越必要。关于“城市荒野”的思想和规划旨在提供一种特殊的自然体验。鉴于不同荒野思想之间存在冲突,风景园林师必须设法了解已有的荒野认知及其含义。通过 3 个荒野类别—“未知荒野”“特定荒野”和“过程荒野”,探讨发展千年的荒野理念,并提出“殖民化”（colonisations）概念作为理解荒野理念发展的一个关键。自然过程伴随着动植物对空间的殖民,而人类进入和占有空间的殖民过程则包含生理、心理和精神 3 个层面的内容。空间命名是一种特殊的、具有精神和象征意味的殖民化形式。例如,人类在城市中发现野生植被,称其为“野性自然”或“城市荒野”。然而,如今大多数（尤其官方）的荒野定义中均排除了人类干扰：一旦被殖民,真正的荒野就不复存在。科学研究对自然过程的殖民化已取得很多成果,但对于人类有关自然和荒野的认知和态度了解并不多。对于风景园林师来说,这有助于更好地理解如何“基于自然进行设计和建造”,对创造令人满意的景观也非常重要。探讨与“城市荒野”有关的论述、规划和设计观点及思想。     

当代中国城市对荒野审美的呼唤

当今的城市化进程面临诸多问题,在生态文明的时代背景下,城市替代了乡村成为国人的主要人居环境。生态文明旨在倡导重构人与自然的关系。那么,荒野景观作为最本真的生态自然,理应成为人们市居生活的重要体验对象与审美对象。荒野哲学以其对人类生存家园损毁的忧患意识以及对当下生产生活方式的深刻反思逐渐成为哲学思考的重要组成部分。在当今城市中,荒野的价值应该得以重估,荒野景观应当得以复魅。城市对荒野的呼唤、城市审美对荒野的悦纳,是当今中国城乡可持续建设的重大使命。在生态文明的当今社会,人们在市居生活中需要倡导一种审美观念,即荒野审美。荒野审美观的构建正逐渐趋向成熟。     

Relative importance of landscape and species characteristics on extinction debt,immigration credit and relaxation time after habitat turnover

Habitat turnover concomitantly causes destruction and creation of habitat patches. Following such a perturbation, metapopulations harbor either an extinction debt or an immigration credit, that is the future decrease or increase in population numbers due to this disturbance. Extinction debt and immigration credit are rarely considered simultaneously and disentangled from the relaxation time (time to new equilibrium). In this contribution, we test the relative importance of two potential drivers of time-delayed metapopulation dynamics: the spatial configuration of the habitat turnover and species dispersal ability. We provide a simulation-based investigation projecting metapopulation dynamics following habitat turnover in virtual landscapes. We consider two virtual species (a short-distance and a long-distance disperser) and five scenarios of habitat turnover depending on net habitat loss or gain and habitat aggregation. Our analyses reveal that (a) the main determinant of the magnitude of the extinction debt or immigration credit is the net change in total habitat area, followed by species dispersal distance and finally by the post-turnover habitat aggregation; (b) relaxation time weakly depends on the magnitude of the immigration credit or of the extinction debt; (c) the main determinant of relaxation time is dispersal distance followed by the net change in total habitat area and finally by the post-turnover habitat aggregation. These results shed light on the relative importance of dispersal ability and habitat turnover spatial structure on the components of time-delayed metapopulation dynamics.     

A global assessment of primate responses to landscape structure

Land‐use change modifies the spatial structure of terrestrial landscapes, potentially shaping the distribution, abundance and diversity of remaining species assemblages. Non‐human primates can be particularly vulnerable to landscape disturbances, but our understanding of this topic is far from complete. Here we reviewed all available studies on primates' responses to landscape structure. We found 34 studies of 71 primate species (24 genera and 10 families) that used a landscape approach. Most studies (82%) were from Neotropical forests, with howler monkeys being the most frequently studied taxon (56% of studies). All studies but one used a site‐landscape or a patch‐landscape study design, and frequently (34% of studies) measured landscape variables within a given radius from the edge of focal patches. Altogether, the 34 studies reported 188 responses to 17 landscape‐scale metrics. However, the majority of the studies (62%) quantified landscape predictors within a single spatial scale, potentially missing significant primate–landscape responses. To assess such responses accurately, landscape metrics need to be measured at the optimal scale, i.e. the spatial extent at which the primate–landscape relationship is strongest (so‐called ‘scale of effect’). Only 21% of studies calculated the scale of effect through multiscale approaches. Interestingly, the vast majority of studies that do not assess the scale of effect mainly reported null effects of landscape structure on primates, while most of the studies based on optimal scales found significant responses. These significant responses were primarily to landscape composition variables rather than landscape configuration variables. In particular, primates generally show positive responses to increasing forest cover, landscape quality indices and matrix permeability. By contrast, primates show weak responses to landscape configuration. In addition, half of the studies showing significant responses to landscape configuration metrics did not control for the effect of forest cover. As configuration metrics are often correlated with forest cover, this means that documented configuration effects may simply be driven by landscape‐scale forest loss. Our findings suggest that forest loss (not fragmentation) is a major threat to primates, and thus, preventing deforestation (e.g. through creation of reserves) and increasing forest cover through restoration is critically needed to mitigate the impact of land‐use change on our closest relatives. Increasing matrix functionality can also be critical, for instance by promoting anthropogenic land covers that are similar to primates' habitat.     

Rapid identification and interpretation of gene–environment associations using the new R.SamBada landscape genomics pipeline

sam βada is a genome–environment association software, designed to search for signatures of local adaptation. However, pre‐ and postprocessing of data can be labour‐intensive, preventing wider uptake of the method. We have now developed R.SamBada, an r ‐package providing a pipeline for landscape genomic analysis based on sam βada , spanning from the retrieval of environmental conditions at sampling locations to gene annotation using the Ensembl genome browser. As a result, R.SamBada standardizes the landscape genomics pipeline and eases the search for candidate genes of local adaptation, enhancing reproducibility of landscape genomic studies. The efficiency and power of the pipeline is illustrated using two examples: sheep populations from Morocco with no evident population structure and Lidia cattle from Spain displaying population substructuring. In both cases, R.SamBada enabled rapid identification and interpretation of candidate genes, which are further discussed in the light of local adaptation. The package is available in the r CRAN package repository and on GitHub (github.com/SolangeD/R.SamBada).