峡谷廊道景观: 区域自然景观和文化景观的全面挖掘——大连十八盘“海底大峡谷”规划建设研究

大连十八盘海底大峡谷景观从2001年开始修建,在地域景观延续性设计的创作理念指引下,运用工程技术手段对裸露的岩壁进行处理,使景观在现实生活与艺术美的高度统一等方面进行积极的探索。夸张的海洋生物雕塑占据景观主导地位。通过对景区的描述,分析其区域角色地位,阐明建设理念,详述裸岩治理的建设内容。     

From landscape ecology to forest landscape restoration

Landscape Ecology - Forest landscape restoration (FLR) was first defined in 2000 and has emerged from several disciplines, including conservation biology and landscape ecology. As it has gained in...     

浅析景墙在景观环境中的功能属性

通过挖掘景墙在景观环境中的功能,阐述了相关场所对景墙功能的要求,以及相应功能的表达方式,最后对景墙的应用提出了不足和展望。     

Integrating landscape ecology into landscape practice in Central African Rainforests

Context

We describe how large landscape-scale conservation initiatives involving local communities, NGOs and resource managers have engaged with landscape scientists with the goal of achieving landscape sustainability. We focus on two landscapes where local people, practitioners and landscape ecologists have co-produced knowledge to design conservation interventions.

Objective

We seek to understand how landscape ecology can engage with practical landscape management to contribute to managing landscapes sustainably.

Methods

We focus on two large tropical landscapes: the Sangha Tri-National landscape (Cameroon, Republic of Congo and the Central African Republic) and the Batéké-Léfini Landscape (Gabon and Republic of Congo). We evaluate (1) a participatory method used in the Sangha Tri-National landscape that embeds interdisciplinary researchers and practitioners within a landscape to apply transdisciplinary learning to landscape conservation and (2) a participatory landscape zoning method where interdisciplinary teams of conservation practitioners analyse local land and resource use in the Batéké-Léfini landscape.

Results

We find that landscape ecology’s tradition of understanding the historical context of resource use can inform landscape conservation practice and natural resource mapping. We also find that the Sangha Group provides an example for landscape ecology on how to integrate local people and their knowledge to better understand and influence landscape processes.

Conclusions

Place-based engagement as well as the uptake of co-produced knowledge by policy makers are key in enabling sustainable landscapes. Success occurs when researchers, local communities and resource managers engage directly with landscape processes.

     

Introducing landscape ecology

Our new journal has been developed by SPB Academic Publishing cooperating with the International Association of Landscape Ecology (IALE), which is affiliated with the International Association for Ecology (INTECOL). IALE membership includes landscape designers, architects, and planners, as well as soil scientists, geographers, modellers, biogeographers, and those biologists who call themselves ecologists. The journal is intended to be the official voice of IALE and to represent these various disciplines' interests and research on the landscape. Landscape sets the scale and orientation of the journal. Ecology indicates its breadth and wholistic approach.A central task of the editor and editorial board is to set the boundaries of the subject matter contained in the journal. These boundaries will be fuzzy, like those in nature, and will shift with time.In this introductory comment, I want to repeat some of the ideas presented at the second meeting of the USA chapter of IALE, at Charlottesville, Virginia, USA on March 11, 1987. The comments seem as relevant at the birth of a new journal as at the close of a meeting of a newly organized landscape ecology society. My comments were divided into three parts: first, general, philosophical matters; second, space and time; and third, human interactions with the landscape.     

A landscape index of ecological integrity to inform landscape conservation

Context

Conservation planning is increasingly using “coarse filters” based on the idea of conserving “nature’s stage”. One such approach is based on ecosystems and the concept of ecological integrity, although myriad ways exist to measure ecological integrity.

Objectives

To describe our ecosystem-based index of ecological integrity (IEI) and its derivative index of ecological impact (ecoImpact), and illustrate their applications for conservation assessment and planning in the northeastern United States.

Methods

We characterized the biophysical setting of the landscape at the 30 m cell resolution using a parsimonious suite of settings variables. Based on these settings variables and mapped ecosystems, we computed a suite of anthropogenic stressor metrics reflecting intactness (i.e., freedom from anthropogenic stressors) and resiliency metrics (i.e., connectivity to similar neighboring ecological settings), quantile-rescaled them by ecosystem and geographic extent, and combined them in a weighted linear model to create IEI. We used the change in IEI over time under a land use scenario to compute ecoImpact.

Results

We illustrated the calculation of IEI and ecoImpact to compare the ecological integrity consequences of a 70-year projection of urban growth to an alternative scenario involving securing a network of conservation core areas (reserves) from future development.

Conclusions

IEI and ecoImpact offer an effective way to assess ecological integrity across the landscape and examine the potential ecological consequences of alternative land use and land cover scenarios to inform conservation decision making.

     

Experimental landscape ecology

Experimentation in landscape ecology is widely conducted using diverse approaches to answer a broad range of questions. By assessing the response to controlled manipulations alternate hypotheses can be clearly refuted, model parameters quantified, and conditions are often ripe for unexpected insights. Results from landscape experiments complement the many well developed observational and modeling approaches more commonly used in landscape ecology. To better understand how landscape experimentation has been conducted and to identify future research directions, we reviewed and organized the diversity of experiments. We identified fifteen distinct landscape experiment types, which we categorized into four broad groups including (I) identifying landscape structure, (II) identifying how ecological processes vary within existing landscapes, (III) identifying how landscape structure influences ecological processes, and (IV) identifying landscape pattern formation factors. Experiment types vary along axes of scalable to real landscapes and generalizability, suitability for analysis through traditional experimental design and flexibility of experimental setup, and complexity of implementation and resource requirements. The next generation of experiments are benefiting from more explicit inclusion of scaling theories and tighter coupling between experiments and cyberinfrastructure. Future experimental opportunities for landscape ecologists include expanded collaborations among experiments, better representations of microbial-soil structure relationships at microscales, and direct evaluations of landscape interactions with global changes. The history, current practice, and future needs of landscape ecological research strongly support an expanded role of experimental approaches that complements the rich observational and modeling strengths of the field.     

园林绿化植被的护理

园林绿化作为现代园林建设的重要组成部分,对于人们享受自然,体验生态情趣有着巨大功能。在园林开发与管理中,园林绿化植被的养护与管理,成为现代园林管理的必要环节。     

寻找中国传统园林与现代风景园林的结合

中国传统园林和现代园林景观在历史空间上有紧密的连续性，同时又各有独到之处，寻找中国传统园林与现代风景园林的结合显得尤为必要。文章提出：园林景观应借鉴传统园林的自然山水追园手法和传统园林的造园要素，结合现代人们对景观的需求，充分考虑景观要素、建筑、植物等各方面的平面及空间关系。     

景观生态理念在高速公路景观中的运用——以宁波象山港大桥接线工程为例

分析高速公路绿化中生态景观组成的几个重要部分,并根据景观生态学理论、以宁波象山港大桥接线工程为例介绍景观生态理念在高速公路景观中的运用.     

Sustainable landscape pattern: a landscape approach to serving spatial planning

Landscape Ecology - Spatial planning system needs the support of approaches toward achieving sustainability, with sustainable landscape pattern (SLP) for one potential spatial approach. However,...     

Hierarchical relationships between landscape structure and temperature in a managed forest landscape

Management may influence abiotic environments differently across time and spatial scale, greatly influencing perceptions of fragmentation of the landscape. It is vital to consider a priori the spatial scales that are most relevant to an investigation, and to reflect on the influence that scale may have on conclusions. While the importance of scale in understanding ecological patterns and processes has been widely recognized, few researchers have investigated how the relationships between pattern and process change across spatial and temporal scales. We used wavelet analysis to examine the multiscale structure of surface and soil temperature, measured every 5 m across a 3820 m transect within a national forest in northern Wisconsin. Temperature functioned as an indicator – or end product – of processes associated with energy budget dynamics, such as radiative inputs, evapotranspiration and convective losses across the landscape. We hoped to determine whether functional relationships between landscape structure and temperature could be generalized, by examining patterns and relationships at multiple spatial scales and time periods during the day. The pattern of temperature varied between surface and soil temperature and among daily time periods. Wavelet variances indicated that no single scale dominated the pattern in temperature at any time, though values were highest at finest scales and at midday. Using general linear models, we explained 38% to 60% of the variation in temperature along the transect. Broad categorical variables describing the vegetation patch in which a point was located and the closest vegetation patch of a different type (landscape context) were important in models of both surface and soil temperature across time periods. Variables associated with slope and microtopography were more commonly incorporated into models explaining variation in soil temperature, whereas variables associated with vegetation or ground cover explained more variation in surface temperature. We examined correlations between wavelet transforms of temperature and vegetation (i.e., structural) pattern to determine whether these associations occurred at predictable scales or were consistent across time. Correlations between transforms characteristically had two peaks; one at finer scales of 100 to 150 m and one at broader scales of ^>300 m. These scales differed among times of day and between surface and soil temperatures. Our results indicate that temperature structure is distinct from vegetation structure and is spatially and temporally dynamic. There did not appear to be any single scale at which it was more relevant to study temperature or this pattern-process relationship, although the strongest relationships between vegetation structure and temperature occurred within a predictable range of scales. Forest managers and conservation biologists must recognize the dynamic relationship between temperature and structure across landscapes and incorporate the landscape elements created by temperature-structure interactions into management decisions.     

Modelling historical landscape changes

Landscape Ecology - Historical maps of land use/land cover (LULC) enable detection of landscape changes, and help to assess drivers and potential future trajectories. However, historical maps are...     

Indices of landscape pattern

Landscape ecology deals with the patterning of ecosystems in space. Methods are needed to quantify aspects of spatial pattern that can be correlated with ecological processes. The present paper develops three indices of pattern derived from information theory and fractal geometry. Using digitized maps, the indices are calculated for 94 quadrangles covering most of the eastern United States. The indices are shown to be reasonably independent of each other and to capture major features of landscape pattern. One of the indices, the fractal dimension, is shown to be correlated with the degree of human manipulation of the landscape.     

Optimizing landscape selection for estimating relative effects of landscape variables on ecological responses

Empirical studies of the relative effects of landscape variables may compromise inferential strength with common approaches to landscape selection. We propose a methodology for landscape sample selection that is designed to overcome some common statistical pitfalls that may hamper estimates of relative effects of landscape variables on ecological responses. We illustrate our proposed methodology through an application aimed at quantifying the relationships between farmland heterogeneity and biodiversity. For this project, we required 100 study landscapes that represented the widest possible ranges of compositional and configurational farmland heterogeneity, where these two aspects of heterogeneity were quantified as crop cover diversity (Shannon diversity index) and mean crop field size, respectively. These were calculated at multiple spatial extents from a detailed map of the region derived through satellite image segmentation and classification. Potential study landscapes were then selected in a structured approach such that: (1) they represented the widest possible range of both heterogeneity variables, (2) they were not spatially autocorrelated, and (3) there was independence (no correlation) between the two heterogeneity variables, allowing for more precise estimates of the regression coefficients that reflect their independent effects. All selection criteria were satisfied at multiple extents surrounding the study landscapes, to allow for multi-scale analysis. Our approach to landscape selection should improve the inferential strength of studies estimating the relative effects of landscape variables, particularly those with a view to developing land management guidelines.     

Bridging landscape preference and landscape design: A study on the preference and optimal combination of landscape elements based on conjoint analysis

Landscape preference is the focus of landscape research, in which the relationship between landscape elements and landscape preference is an important issue. Most previous studies have analysed correlation between the landscape preference scored by the public and scores on the quality of landscape elements by experts; some have compared the effects of individual landscape elements on landscape preference by photo simulation. In this study, landscape preference is regarded as the selection preference of landscape element combination. The conjoint analysis method is used to further explore the ranking and optimal combination of the significant degrees of impact of landscape elements on landscape preference when multiple landscape element combinations are used. The results show that the influence degrees of landscape elements on landscape preference in urban parks followed the order water, square, openness of the landscape, vegetation, road and seats. The optimal combination of landscape elements is the open landscape with flowing water, a shaded square, rich vegetation, a road and seats. This study demonstrates the advantages of the conjoint analysis method over the univariate method in controlling multiple variables, improving experimental efficiency and obtaining more meaningful results. A combination of urban park landscape elements based on landscape preference is helpful to inspire landscape architects to make choices among multiple landscape elements, provides evidence-based design methods for landscape design and offers basic parameters for the wide application of the parametric design or computational design of landscape architecture.     

The effects of landscape patterns on ecosystem services: meta-analyses of landscape services

Purpose

The recently introduced concept of ‘landscape services’—ecosystem services influenced by landscape patterns—may be particularly useful in landscape planning by potentially increasing stakeholder participation and financial funding. However, integrating this concept remains challenging. In order to bypass this barrier, we must gain a greater understanding of how landscape composition and configuration influence the services provided.

Methods

We conducted meta-analyses that considered published studies evaluating the effects of several landscape metrics on the following services: pollination, pest control, water quality, disease control, and aesthetic value. We report the cumulative mean effect size (E₊₊), where the signal of the values is related to positive or negative influences.

Results

Landscape complexity differentially influenced the provision of services. Particularly, the percentage of natural areas had an effect on natural enemies (E₊₊ =?0.35), pollination (E₊₊?=?0.41), and disease control (E₊₊?=?0.20), while the percentage of no-crop areas had an effect on water quality (E₊₊?=?0.42) and pest response (E₊₊?=?0.33). Furthermore, heterogeneity had an effect on aesthetic value (E₊₊?=?0.5) and water quality (E₊₊ =???0.40). Moreover, landscape aggregation was important to explaining pollination (E₊₊?=?0.29) and water quality (E₊₊?=?0.35).

Conclusions

The meta-analyses reinforce the importance of considering landscape structure in assessing ecosystem services for management purposes and decision-making. The magnitude of landscape effect varies according to the service being studied. Therefore, land managers must account for landscape composition and configuration in order to ensure the maintenance of services and adapt their approach to suit the focal service.