A hierarchical neutral model for landscape analysis

Empirical studies have revealed scaled structure on a variety of landscapes. Understanding processes that produce these structures requires neutral models with hierarchical structure. The present study presents a method for generating random maps possessing a variety of hierarchical structures. The properties of these scaled landscapes are analyzed and compared to patterns on totally random, unstructured landscapes. Hierar-chical structure permits percolation (i.e., continous habitat spanning the landscape) under a greater variety of conditions than found on totally random landscapes. Habitat clusters on structured maps tend to have smaller perimeters. The clusters tend to be less clumped on sparsely occupied landscapes and more clumped in densely occupied conditions. Hierarchical structure changes the expected spatial properties of the landscape, indicating a strong need for this new generation of neutral models. Research supported by the Ecological Research Division, Office to Health and Environmental Research, U.S. Department of Energy under contract No. DE-AC05-840R21400 with Martin Marietta, Energy Systems, Inc. Environmental Sciences Publication No. 3813, ORNL.     

Epidemiology theory and disturbance spread on landscapes

Abtract Epidemiology models, modified to include landscape pattern, are used to examine the relative importance of landscape geometry and disturbance dynamics in determining the spatial extent of a disturbance, such as a fire. The models indicate that, except for very small values for the probability of spread, a disturbance tends to propagate to all susceptible sites that can be reached. Therefore, spatial pattern, rather than disturbance dynamic, will ordinarily determine the total extent of a single disturbance event. The models also indicate that a single disturbance will seldom become endemic,i.e., always present on the landscape. However, increasing disturbance frequency can lead to a landscape in which the proportion of susceptible, disturbed, and recovering sites are relatively constant. Research supported by Ecological Research Division, Office of Health and Environmental Research, U.S. Department of Energy under contract No. DE-AC05-840R21400 with Martin Marietta Energy Systems, Inc. Contribution No. 10 to the Sevilleta LTER program. Environmental Sciences Division Publication No. 3812, ORNL.     

The spatial extent and relative influence of landscape-level factors on wintering bird populations

The influences of the landscape matrix (complex of habitats surrounding a study plot) and within-patch vegetation were studied in bird communities wintering in the piedmont of Georgia, USA. Variation at the landscape and within-patch levels was controlled to reduce the likelihood of confounding and spurious relationships. The landscape matrix within 500 m of each study plot was quantified from aerial photographs. Statistical models using landscape matrix and within-patch vegetation variables explained 73–84% of variation in bird abundance and diversity among sites with landscape matrix variables accounting for 30–90% of the variation. Variation in bird species richness and diversity was explained solely by landscape variables. Models for individual species such as Carolina Wrens (Thyrothorus ludovicianus) and Rufous-sided Towhees (Pipilo erythrophthalmus) had r² > 0.80, with the landscape matrix variables accounting for the majority of this variation. However, other species like Northern Cardinals (Cardinalis cardinalis) and White-throated Sparrows (Zonotrichia albicollis) were most strongly influenced by within-plot vegetation. The landscape influence extended beyond habitats immediately adjacent to the study plots as indicated by significant variables describing variation in more distant habitat patches. These analyses illustrate a technique for comparing the strength of within-patch versus landscape influences and measuring the spatial extent of the landscape influence in fine-grained landscapes.Report No. 3955, Environmental Sciences Division, Oak Ridge National Laboratory.This research received funding from the Ecological Research Division, Office of Health and Environmental Research, U.S. Department of Energy, under Contract No. DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc.     

Sampling to characterize landscape pattern

Current reseach suggests that metrics of landscape pattern may reflect ecological processes operating at different scales and may provide an appropriate indicator for monitoring regional ecological changes. This paper examines the extent to which a 1/16 areal subset of the landscape using equally spaced 40-km² hexagons can characterize the spatial extent of land cover types and landscape pattern (number of types of edges, patch shape complexity, dominance, and contagion). For 200-m resolution data the hexagon subset gives a reasonable estimate of overall landscape cover but may not be adequate for monitoring uncommon land cover types such as wetlands. For agriculture and forest, their proportion of the full landscape units is only outside the 95% confidence interval of the hexagon estimate 4–8% of the time, whereas the proportions for wetland and barren areas are outside the confidence interval 11–34% of the time. The hexagon subset also does not appear to be adequate as the sole basis for monitoring landscape pattern. The values for contagion, dominance, and shape complexity calculated on the full landscape units are outside the 95% confidence interval of the hexagon estimate 27–76% of the time. Other statistical analyses include regressions between full landscape and hexagon subsets, mean differences and standard errors along with tests on number of positive and negative values, and percent relative error of hexagon estimates.Although the research described in this article has been funded in part by the U.S. Environmental Protection Agency, under Interagency Agreement DW89934921-01-0 with the U.S. Department of Energy under Contract DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc., it has not been subjected to Agency review. Therefore, it does not necessarily reflect the views of the Agency. Mention of trade names or commercial products does not constitute endorsement or recommendation for use.Research supported by the Landscape Characterization Project, Environmental Monitoring and Assessment Program, U.S. Environmental Protection Agency, under Interagency Agreement DW89934921-01-0 with the U.S. Department of Energy under Contract DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc., Environmental Sciences Division Publication No. 4090.     

Scale problems in reporting landscape pattern at the regional scale

Remotely sensed data for Southeastern United States (Standard Federal Region 4) are used to examine the scale problems involved in reporting landscape pattern for a large, heterogeneous region. Frequency distributions of landscape indices illustrate problems associated with the grain or resolution of the data. Grain should be 2 to 5 times smaller than the spatial features of interest. The analyses also reveal that the indices are sensitive to the calculation scale,i.e., the unit area or extent over which the index is computed. This “sample area” must be 2 to 5 times larger than landscape patches to avoid bias in calculating the indices. Research sponsored by the Office of Research and Development, U.S. Environmental Protection Agency under IAG DW89934440-6 and DW89936104-01 with the U.S. Department of Energy under contract DE-AC05-84OR21400 with Martin Marietta Energy Systems, Inc.     

The appearance of ecological systems as a matter of policy

Environmental policy should explicitly address the appearance of the landscape because people make inferences about ecological quality from the look of the land. Where appearances are misleading, failing to portray ecological degradation or ecological health, public opinion may be ill-informed, with consequences for environmental policy. This paper argues that while ecology is a scientific concept, landscape perception is a social process. If we do not recognize this difference, we have problems with the appearance of ecological systems. Three influential problems are discussed: 1) the problem of the false identity of ecological systems, 2) the problem of design and planning as deceit about ecological systems, and 3) the problem of invisible ecological systems. These problems for environmental policy may be resolved in part if landscape planners and policy-makers use socially-recognized signs to display human intentions for ecological systems. Specifically, planning and policy can include socially-recognized signs of beauty and stewardship to display human care for ecological systems. An example in United States federal agricultural policy is described.     

Resource utilization scales and landscape pattern

The spatial patterning of resources constrains the movement of consumers on the landscape. Percolation theory predicts that an organism can move freely if its critical resource or habitat occupies 59.28% of the landscape. Sparse resources require an organism to operate on larger resource utilization scales. Multiple critical resources necessitate larger scales, while substitutable resources ease the scale requirements. Contagious spatial patterns require larger scales to permit movement between resource clusters. The study indicates a strong link between spatial pattern and ecological processes on a landscape.     

Modeling multi-scale spatial ecological processes under the discrete event systems paradigm

A multi-scale spatial ecological model of a wet sclerophyllous forest subject to recurrent fires is presented. The model is specified in a Discrete Event Systems framework (DEVS) (Zeigler, 1990) interfaced with a Geographic Information System (GIS), and includes the ability to simulate landscape dynamics at several levels of resolution simultaneously. This is achieved by encoding a modular hierarchical representation of the forest landscape components into a set of nested, interconnected, and spatially referenced dynamic models. The results of the landscape dynamics simulations are displayed as sequences of maps through time, illustrating the potential of this modeling methodology for dealing with complex hierarchical structures that operate at several spatial and temporal resolutions.Research work supported by Junta Nacional de Investigaçäo Científica e Tecnológica, Portugal, and the Advanced Resource Technology Program, University of Arizona, USA.     

Aspects of landscape or nature quality

Landscape or nature quality has become a key concept in relation to nature policy and landscape planning. In the first part of the article it is argued, that these qualities should not be conceived as mere expressions of private or subjective preferences. Even though there may not be any `objective' or `scientific' method dealing with them, they are still values which can be shared, reflected on, and discussed in a reasonable way. The connoisseurs are introduced as experienced persons, who are particularly capable of identifying different kinds of qualities, bridge builders between cognition and evaluation. The second part of the article deals with four central sets of landscape or nature qualities: qualities related to species diversity, qualities related to the `atmospheres' and characters of places, pictorial qualities, and qualities related to narrativity. It is argued that experience of these and similar qualities are an important part of human flourishing, and that they should therefore all have a prominent place in landscape planning.Finn, Arler, M.A. and Ph.D. in Philosophy. Research Fellow, associated with the interdisciplinary research group `Boundaries in the Landscape', sponsored by the Danish Research Councils. Teaches environmental ethics at the Human Ecology course at Aalborg University, Denmark.     

Energy hierarchy and landscape sustainability

The study of ecosystems suggests principles by which energy flows generate hierarchies in all systems. All ecosystems in the landscapes are associated with energy transformation and the convergence of transformed products toward higher hierarchical levels, the recycling of materials to dispersed backgrounds, and feedbacks to reinforce the supporting environment. A hierarchy can be seen as an organized pattern with many small units at one level contributing to fewer units at the next higher level. Due to spatial variability in the natural environment, different types and amounts of energy received on the earth are not homogeneous; this in turn generates a heterogeneous pattern on the landscape. Energy from life-support and production systems of a heterogeneous landscape is transformed and converged spatially toward consumption centers. All energy transformation can be arranged in a series. The concept of transformity is used in this paper to indicate the position of an energy flow in the series. A hierarchical system can help to explain how energy and matter can be produced and recycled through each level of energy transfer. Building on the brief reviews of the concept of hierarchy in the landscape and the theoretical development of the concept of an ecological energetic hierarchy, this paper proposes two principles of energetic hierarchy for landscape sustainability. First, the landscape must be arranged spatially according to its energy hierarchy. Evaluation of normalized energy flows (emergy) can help identify zones of different spatial hierarchies, which will help establish the strategies needed for the landscapes to be sustainable. Second, a sustainable landscape must comprise a hierarchy of self-organizing ecosystems that can enable the systems to maximize useful power at all levels of the energy hierarchy.     

Driving forces of landscape change - current and new directions

The concept of driving forces is gaining increasing attention in landscape-change research. We summarize the state of the art of this field and present new conceptual and methodological directions for the study of driving forces of landscape changes. These new directions address four major challenges faced by landscape-change studies, i.e., studying processes and not merely spatial patterns, extrapolating results in space and time, linking data of different qualities, and considering culture as a driver of landscape change. The proposed research directions include: studying landscape change across borders and transects, focusing on persistence as well as change, investigating rates of change, considering attractors of landscape change, targeting correlation and causality, and searching for precursors of landscape change. Based on established knowledge and the new approaches we outline a standard procedure to study driving forces of landscape change. We anticipate that our analytical and systematic approach increases the relevance of studies of landscape change for science as well as for the solution of real world problems.     

Driving forces of landscape change - current and new directions

The concept of driving forces is gaining increasing attention in landscape-change research. We summarize the state of the art of this field and present new conceptual and methodological directions for the study of driving forces of landscape changes. These new directions address four major challenges faced by landscape-change studies, i.e., studying processes and not merely spatial patterns, extrapolating results in space and time, linking data of different qualities, and considering culture as a driver of landscape change. The proposed research directions include: studying landscape change across borders and transects, focusing on persistence as well as change, investigating rates of change, considering attractors of landscape change, targeting correlation and causality, and searching for precursors of landscape change. Based on established knowledge and the new approaches we outline a standard procedure to study driving forces of landscape change. We anticipate that our analytical and systematic approach increases the relevance of studies of landscape change for science as well as for the solution of real world problems.     

西瓜新品种新优41号的选育

新优41号是新疆生产建设兵团农6师农业科学研究所选育的中晚熟西瓜新品种。直播栽培全生育期87d,果实发育期35d,植株生长势中等,主蔓第8～10节出现第1朵雌花,平均坐果节位14节。果实椭圆形,果形指数1.3,果皮浅绿上覆深绿色齿条带;瓜瓤桃红色,瓤质细脆,纤维少,汁多,风味上乘,中心可溶性固形物含量11%以上。单果重5kg,667m2产量3000～4000kg。不裂果,耐贮运,适宜在长江以北地区种植。2008年3月通过新疆维吾尔自治区农作物品种审定委员会审定。     

Analysis of historic landscape patterns with a Geographical Information System — a methodological outline

Various methods for storing, retrieving, and analyzing historic land use records by means of electronic data processing are evaluated. The procedures are illustrated with data from a pilot study on the Swiss Plateau which is part of a broader landscape historical monitoring program at the Swiss Federal Institute of Forest, Snow and Landscape Research. The land use matrix was derived from topographic maps, aerial photographs and other land use records and spans approximately 100 yrs with an updating cycle of 7 to 20 yrs. A special technique was developed to generate series of digital maps and to superimpose the data layers of various time steps. Each landscape element is described with time-stamped attributes to ensure access to the entire life history from any point in space or time. The proposed data model proved to be a powerful tool for routine updating of digital maps. It can be used by practitioners as well as scientists working with Geographical Information Systems (ARC/INFO or similar package). With this procedure, disturbance maps over any number of available updates can be quickly generated, allowing the user to identify zones of similar degrading or upgrading tendency. The procedures for analyzing changing landscape structures include calculation of information theoretic indices (diversity, dominance), calculation of fractals, edge analysis, as well as landscape assessment along random traverses. The latter proved to be especially powerful, where barrier/habitat frequencies were evaluated. On the basis of all parameters calculated, landscape structures on the study plot seem to be ecologically most favorable in the 1930's followed by a strong degradation in the World War II - and the post-World War II period. In contrast to many hypotheses, the landscape structures in the second half of the 19th century were structurally less favorable than between 1900 and 1930.     

Scaling Local Species-habitat Relations to the Larger Landscape with a Hierarchical Spatial Count Model

Much of what is known about avian species-habitat relations has been derived from studies of birds at local scales. It is entirely unclear whether the relations observed at these scales translate to the larger landscape in a predictable linear fashion. We derived habitat models and mapped predicted abundances for three forest bird species of eastern North America using bird counts, environmental variables, and hierarchical models applied at three spatial scales. Our purpose was to understand habitat associations at multiple spatial scales and create predictive abundance maps for purposes of conservation planning at a landscape scale given the constraint that the variables used in this exercise were derived from local-level studies. Our models indicated a substantial influence of landscape context for all species, many of which were counter to reported associations at finer spatial extents. We found land cover composition provided the greatest contribution to the relative explained variance in counts for all three species; spatial structure was second in importance. No single spatial scale dominated any model, indicating that these species are responding to factors at multiple spatial scales. For purposes of conservation planning, areas of predicted high abundance should be investigated to evaluate the conservation potential of the landscape in their general vicinity. In addition, the models and spatial patterns of abundance among species suggest locations where conservation actions may benefit more than one species.     

Agent-based land-use models: a review of applications

Agent-based modelling is an approach that has been receiving attention by the land use modelling community in recent years, mainly because it offers a way of incorporating the influence of human decision-making on land use in a mechanistic, formal, and spatially explicit way, taking into account social interaction, adaptation, and decision-making at different levels. Specific advantages of agent-based models include their ability to model individual decision-making entities and their interactions, to incorporate social processes and non-monetary influences on decision-making, and to dynamically link social and environmental processes. A number of such models are now beginning to appear—it is timely, therefore, to review the uses to which agent-based land use models have been put so far, and to discuss some of the relevant lessons learnt, also drawing on those from other areas of simulation modelling, in relation to future applications. In this paper, we review applications of agent-based land use models under the headings of (a) policy analysis and planning, (b) participatory modelling, (c) explaining spatial patterns of land use or settlement, (d) testing social science concepts and (e) explaining land use functions. The greatest use of such models so far has been by the research community as tools for organising knowledge from empirical studies, and for exploring theoretical aspects of particular systems. However, there is a need to demonstrate that such models are able to solve problems in the real world better than traditional modelling approaches. It is concluded that in terms of decision support, agent-based land-use models are probably more useful as research tools to develop an underlying knowledge base which can then be developed together with end-users into simple rules-of-thumb, rather than as operational decision support tools. This paper arises from research conducted as part of the UK Research Councils’ RELU Programme (award number RES-224-25-0102). RELU is funded jointly by the Economic and Social Research Council, the Biotechnology and Biological Sciences Research Council and the Natural Environment Research Council, with additional funding from the Department for Environment, Food and Rural Affairs and the Scottish Executive Environment and Rural Affairs Department.     

Determining an appropriate minimum mapping unit in vegetation mapping for ecosystem restoration: a case study from the Everglades,USA

This paper documents the analyses that were conducted with regards to investigating an appropriate Minimum Mapping Unit (MMU) to be used to capture the potential changes in vegetation patterns for a 10,924 square km restoration project being conducted in south Florida, USA. Spatial landscape and class metrics that were shown to change predictably with increasing grain size were adopted from previous studies and applied to a multi-scale analysis. Specifically, this study examines the effects of changing grain size on landscape metrics, utilizing empirical data from a real landscape encompassing 234,913 ha of south Florida’s Everglades. The objective was to identify critical thresholds within landscape metrics, which can be used to provide insight in determining an appropriate MMU for vegetation mapping. Results from this study demonstrate that vegetation heterogeneity will exhibit dissimilar patterns when investigating the loss of information within landscape and class metrics, as grain size is increased. These results also support previous findings that suggest that landscape metric “scalograms” (the response curves of landscape metrics to changing grain size), are more likely to be successful for linking landscape pattern to ecological processes as both pattern and process in ecological systems often operate on multiple scales. This study also incorporates an economic cost for various grain dependant vegetation mapping scales. A final selection of the 50 × 50 m grain size for mapping vegetation was based on this study’s investigation of the “scalograms”, the costs, and a composite best professional judgment of seasoned scientists having extensive experience within these ecosystems.     

Environmental factors at different spatial scales governing soil fauna community patterns in fragmented forests

Spatial and temporal changes in community structure of soil organisms may result from a myriad of processes operating at a hierarchy of spatial scales, from small-scale habitat conditions to species movements among patches and large-sale landscape features. To disentangle the relative importance of spatial and environmental factors at different scales (plot, patch and landscape), we analyzed changes in Collembola community structure along a gradient of forest fragmentation, testing predictions of the Hierarchical Patch Dynamics Paradigm (HPDP) in different European biogeographic regions (Boreal, Continental, Atlantic, Mediterranean, Alpine). Using variance partitioning methods, based on partial CCAs, we observed that the independent effect of environmental processes was significantly explaining Collembola community variance in all regions, while the relative effect of spatial variables was not significant, due to the observed high levels of landscape heterogeneity along the gradient. Environmental factors at the patch and plot scales were generally significant and explained the larger part of community changes. Landscape variables were not significant across all study sites. Yet, at the landscape level, an increase in forest habitat and proximity of forest patches were showed to have an indirect influence on local community changes, by influencing microhabitat heterogeneity at lower spatial scales in all studied regions. In line with HPDP, large-scale landscape features influenced spatio-temporal changes in soil fauna communities by constraining small-scale environmental processes. In turn, these provided mechanistic understanding for diversity patterns operating at the patch scale, via shifts in community weighted mean of Collembola life-forms occurring in local communities along the fragmentation gradient.     

Screening wild Eriobotrya species as rootstocks for loquat

Summary

Six wild species of Eriobotrya were evaluated as rootstocks for domesticated loquat. Twelve-month-old seedlings of Oak leaf loquat (an Oak Leaf loquat ‘Zaozhong No. 6’ hybrid) and wild Fragrant loquat (E. fragrans Champ) had higher root-to-shoot fresh weight (FW) ratios than other wild species. When the domesticated loquat, ‘Zaozhong No. 6’, was grafted onto seedlings of six different wild loquat species, differences in compatibility were observed. Graft compatibility was lower for all combinations compared to ‘Zaozhong No. 6’ grafted onto domesticated loquat seedlings. When wild Henry loquat was used as a rootstock, delayed incompatibility was observed. Differences in soluble sugar contents (SSC) between scion and rootstock were observed, and there was a significant negative correlation between graft compatibility and the difference in SSC values. The influence of the rootstock on anatomical changes at the graft union were observed using a scanning electron microscope (SEM). Wild rootstocks also influenced scion growth, fruit bearing, and fruit quality. Graft combinations which used wild Fragrant loquat as the rootstock had increased cold tolerance and improved scion growth. Wild Fragrant loquat therefore appears to have value as a rootstock for domesticated loquat.     

Multi-scale responses of bird species to tree cover and development in an urbanizing landscape

Landscape change is an ongoing process for even the most established landscapes, especially in context to urban intensification and growth. As urbanization increases over the next century, supporting bird species’ populations within urbanizing areas remains an important conservation challenge. Fundamental elements of the biophysical structure of urban environments in which bird species likely respond include tree cover and human infrastructure. We broadly examine how tree cover and urban development structure bird species distributions along the urban-rural gradient across multiple spatial scales. We established a regional sampling design within the Oak Openings Region of northwestern, Ohio, USA, to survey bird species distributions across an extensive urbanization gradient. Through occupancy modeling, we obtained standardized effects of bird species response to local and landscape-scale predictors and found that landscape tree cover influenced the most species, followed by landscape impervious surface, local building density, and local tree cover. We found that responses varied according to habitat affiliation and migratory distance of individual bird species. Distributions of short-distance, edge habitat species located towards the rural end of the gradient were explained primarily by low levels of urbanization and potential vegetative and supplemental resources associated with these areas, while forest species distributions were primarily related to increasing landscape tree cover. Our findings accentuate the importance of scale relative to urbanization and help target where potential actions may arise to benefit bird diversity. Management will likely need to be implemented by municipal governments and agencies to promote tree cover at landscape scale, followed by residential land management education for private landowners. These approaches will be vital in sustaining biodiversity in urbanizing landscapes as urban growth expands over the next century.