scholarly journals Landscape Structure, Landscape Metrics and Biodiversity

2011 ◽  
Vol 5 ◽  
Author(s):  
Ulrich Walz
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure

scholarly journals Can we combine structural functionality and landscape services assessments in order to estimate the impact of landscape structure on landscape services?

2013 ◽  
Vol 21 (4) ◽  
pp. 2-14 ◽  
Author(s):  
Hana Skokanová
Keyword(s):  
Czech Republic ◽  
Landscape Metrics ◽  
Landscape Structure ◽  
The Czech Republic ◽  
Landscape Services ◽  
Joint Application ◽  
Landscape Types ◽  
The Impact

Abstract This paper investigates two methods of assessing structural functionality and landscape services, and the potential of their joint application in order to estimate the impact of landscape structure in terms of structural functionality on landscape capacity to provide various services. The methods were tested in three different landscape types of the Czech Republic. The results showed that linking these two methods might help in estimating the impact of landscape structure on some landscape services in landscape types with a prevalent valuable matrix, but are dependent on landscape metrics defining individual functionality groups

scholarly journals Contribution of landscape metrics to the assessment of scenic quality - the example of the landscape structure plan Havelland/Germany

2009 ◽  
Vol 10 ◽  
pp. 1-17 ◽  
Author(s):  
Helge Herbst ◽  
Michael Förster ◽  
Birgit Kleinschmit
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure ◽  
Environmental Planning ◽  
Diversity Index ◽  
Structural Diversity ◽  
Objective Evaluation ◽  
Landscape Patterns ◽  
Edge Density ◽  
Aesthetic Quality ◽  
Important Indicator

The scenic quality of a landscape is a natural resource that is to be preserved according to German and international law. One important indicator for the evaluation of this value is the structural diversity of the landscape. Although Landscape Metrics (LM) represent a well-known instrument for the quantification of landscape patterns, they are hardly used in applied landscape and environmental planning. This study shows possibilities for the integration of LM into a commonly used method to assess scenic quality by the example of a Landscape Structure Plan. First results indicate that especially Shannon's Diversity Index and Edge Density are suitable to achieve an objective evaluation of the structural diversity as indicator for scenic quality. The addition of qualitative parameters to the objective structural analysis is discussed. Moreover, the use of landscape scenery units and raster cells as basic geometry has been compared. It shows that LM can support the evaluation of the aesthetic quality in environmental planning, especially when integrated into commonly used evaluation methods.

Landscape metrics as a framework to measure the effect of landscape structure on the spread of invasive insect species

2017 ◽  
Vol 32 (12) ◽  
pp. 2311-2325 ◽  
Author(s):  
Audrey Lustig ◽  
Daniel B. Stouffer ◽  
Crile Doscher ◽  
Susan P. Worner
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure ◽  
Insect Species ◽  
Invasive Insect

Quantifying landscape structure with vegetation inventory maps and remote sensing

2002 ◽  
Vol 78 (6) ◽  
pp. 866-875 ◽  
Author(s):  
S E Franklin ◽  
M J Hansen ◽  
G B Stenhouse
Keyword(s):  
Remote Sensing ◽  
Landscape Metrics ◽  
Landscape Structure ◽  
Deciduous Forest ◽  
Grizzly Bear ◽  
Visual Interpretation ◽  
Large Area ◽  
Habitat Analysis ◽  
Landsat Satellite ◽  
Map Accuracy

Two input maps based on Alberta Vegetation Inventory (AVI) data and Landsat satellite imagery were generated for use in a fragmentation analysis of a large area in the Alberta Yellowhead Ecosystem to support long-term grizzly bear habitat analysis. Accuracy was assessed using visual interpretation of classes on digital orthophotography. Approximately 45% map accuracy was obtained after applying a generalization procedure to the available AVI GIS database. Approximately 80% map accuracy was achieved used a supervised classification approach applied to the Landsat image. Differences in accuracy were most apparent in non-treed vegetation classes (e.g., shrub), closed conifer, mixedwood and deciduous forest classes. Very large differences were observed in many of the landscape metrics computed from these two maps to quantify landscape structure. Simulating forest changes on these maps illustrated the difficulty of comparing maps generated with different geospatial technologies. Key words: fragmentation, satellite remote sensing, GIS vegetation inventory maps, landscape metrics

scholarly journals Evaluating the Potential of Landscape Metrics in Supporting Landscape Planning in Atlantic Forest

2013 ◽  
Vol 4 (1) ◽  
pp. 55-67 ◽  
Author(s):  
Ana Paula Dias Turetta ◽  
Rachel Bardy Prado ◽  
Gustavo de Souza Valladares
Keyword(s):  
Land Use ◽  
Landscape Metrics ◽  
Landscape Structure ◽  
Landscape Planning ◽  
Principal Component ◽  
Agricultural Landscapes ◽  
Southeastern Brazil ◽  
Forest Patches ◽  
Dominant Component ◽  
A Site

The landscapes are highly dependent on the dynamics of local land use and land cover, which directly affects landscape structure and determines the spatial patterns of forest patches, as well as to the major land uses within a specific region. The calculation of landscape metrics can support the understanding of such spatial distribution. In this study, 16 landscape metrics were analyzed in a drainage watershed in a high relief region in the Rio de Janeiro state, Southeastern Brazil, with the aim to evaluate the use of landscape metrics as indicators for agricultural management. Metrics calculation was followed by a Principal Component Analysis, which indicated the metrics that were most effective in evidencing the landscape structure in analysis. The results showed that the late-succession forest is the dominant component in the landscape. This class also presented the highest MPS metric value, related to the mean patch size by class. Some PCA results suggest that the metrics association was less effective in clustering the overgrown pasture, clean pasture, and annual crops classes, but this could result from the intrinsic association among those classes, by crop rotation, meaning the abandon of a site formerly occupied by an annual crop. Some metrics better suggested an interaction among land use classes and have potential to be use in the analyses of agricultural landscapes in high relief sites.

scholarly journals Landscape structure and suitable habitat analysis for effective restoration planning in semi-arid mountain forests

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Hossein Piri Sahragard ◽  
Majid Ajorlo ◽  
Peyman Karami
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure ◽  
Habitat Suitability ◽  
Forest Restoration ◽  
Individual Species ◽  
Suitable Habitat ◽  
Fars Province ◽  
Ensemble Technique ◽  
Restoration Planning ◽  
Semi Arid

Abstract Background Suitable habitat and landscape structure play a pivotal role in the success of forest restoration projects. This study aimed to model the habitat suitability of wild almond (Amygdalus scoparia Spach) using three individual species distribution models (SDMs), i.e., backpropagation artificial neural network (BP-ANN), maximum entropy (MaxEnt), generalized linear model (GLM), as well as the ensemble technique along with measuring the landscape metrics and analyzing the relationship between the distribution of the suitable habitat of the species in different landform classes in Fars Province, southern Iran. Results There was no clear difference in the prediction performance of the models. The BP-ANN had the highest accuracy (AUC = 0.935 and k= 0.757) in modeling habitat suitability of A. scoparia, followed by the ensemble technique, GLM, and MaxEnt models with the AUC values of 0.890, 0.887, and 0.777, respectively. The highest discrimination capacity was associated to the BP-ANN model, and the highest reliability was related to the ensemble technique. Moreover, evaluation of variable importance showed that the occurrence of A. scoparia was strongly dependent on climatic variables, particularly isothermality (Bio 3), temperature seasonality (Bio 4), and precipitation of driest quarter (Bio 17). Analysis of the distribution of species habitat in different landform classes revealed that the canyon, mountain top, upland drainage, and hills in valley classes had the highest suitability for the species establishment. Conclusions Considering the importance of landform in the establishment of plant habitats, the combination of the outputs of the SDMs, landform, and the use of landscape metrics could provide both a clear view of habitat conditions and the possibility of analyzing habitat patches and their relationships that can be very useful in managing the remaining forests in semi-arid regions. The canyon, mountain top, and upland drainage classes were found to be the most important landforms to provide the highest suitable environmental conditions for the establishment of A. scoparia. Therefore, such landforms should be given priority in restoration projects of forest in the study area.

Understanding and quantifying landscape structure – A review on relevant process characteristics, data models and landscape metrics

2015 ◽  
Vol 295 ◽  
pp. 31-41 ◽  
Author(s):  
Angela Lausch ◽  
Thomas Blaschke ◽  
Dagmar Haase ◽  
Felix Herzog ◽  
Ralf-Uwe Syrbe ◽  
...  
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure ◽  
Data Models ◽  
Process Characteristics

Relationships between landscape patterns and fire occurrence within a successional gradient in sagebrush steppe–juniper woodland

2011 ◽  
Vol 20 (1) ◽  
pp. 69 ◽  
Author(s):  
Aaron D. Roth ◽  
Stephen C. Bunting ◽  
Eva K. Strand
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure ◽  
Linear Regression Analysis ◽  
Spatial Arrangement ◽  
Simulation Software ◽  
Landscape Patterns ◽  
Sagebrush Steppe ◽  
Fire Occurrence ◽  
Surface Fire ◽  
Western Juniper

Expansion of western juniper (Juniperus occidentalis Hook. var. occidentalis) has altered vegetation composition, fire behaviour and fire potential throughout south-western Idaho and eastern Oregon. Utilising GIS-derived products and fire-simulation software, the influence of the spatial arrangement of different woodland developmental stages on simulated surface fire occurrence was evaluated. Custom fuel models and a recent vegetation map processed in FARSITE under moderate fire conditions were used to create a fire-occurrence grid in three sixth-order watersheds on the Owyhee Plateau of south-western Idaho. Landscape pattern metrics were selected to quantify the spatial arrangement of plant communities within a neighbourhood around points from each successional stage randomly placed within each watershed. Linear regression analysis of fire occurrence and each of the selected landscape metrics was compared for four successional stages of western juniper encroachment to assess the effect of landscape-scale vegetation arrangement on fire occurrence. The landscape structure had little influence on whether an early-successional area burns in a surface fire, whereas the surrounding landscape structure influenced whether a late-successional or mature woodland area burned. Landscape metrics that showed significance in late-successional and mature woodland stages include patch density, mean area and Simpson’s diversity.

scholarly journals Landscape Metrics as a Tool for Evaluation Landscape Structure – Case Study Hustopeče

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Lenka Tlapáková ◽  
Dagmar Stejskalová ◽  
Petr Karásek ◽  
Jana Podhrázská
Keyword(s):  
Landscape Metrics ◽  
Landscape Structure
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