<abstract xmlns="http://www.w3.org/1999/xhtml">A factor analysis of 67 landscape pattern metrics was performed to quantify the ability of landscape pattern metrics to explain land cover pattern, and to report individual landscape pattern metric values that are statistically independent. This land cover pattern is measured from 7.68 x 7.68 [<italic>km</italic>] GeoTiff image tiles of the conterminous United States Geological Survey (USGS) 1992 National Land Cover Dataset (NCLD). Using factor analysis to rank independent landscape pattern information, each landscape pattern metric produces the explanatory power of that landscape pattern metric amongst the other 66 landscape pattern metrics—any landscape pattern metrics that report similar values contribute redundant information. The metrics that contribute the most information are Jackson’s <italic>Contagion</italic> statistic (<italic>P</italic>005), typically contributing to 97 % of the explained variability; the Fourier Metric of Fragmentation (<italic>FMF</italic>), typically contributing to 65 % of the explained variability; and <italic>average LCLU class lacunarity</italic> (<italic>TLAC</italic>), typically contributing to 62 % of the explained variability. Two other Fourier-based landscape pattern metrics we tested, the Least Squares Fourier Transform Fractal Dimension Estimation (<italic>LsFT</italic>) and the Fourier Metric of Proportion (<italic>FMP</italic>), contributed 50 % and 12 % to the explained variability, respectively. In addition, the values reported by each of the Fourier metrics are revealed to be relatively independent amongst commonly used landscape pattern metrics and are thus demonstrated to be appropriate for explaining general landscape pattern variability.</abstract>

Multiscale Fourier Landscape Pattern Indices For Landscape Ecology

<abstract xmlns="http://www.w3.org/1999/xhtml">Assessing and quantifying the current forest resources status underpins sustainable forest resources planning and management. To this end, this study was conducted to analyze the dynamics of land use cover change (LUCC) and explore their drivers at the central highlands of Dry Afromontane Chilimo-Gaji forest for the study period (1973-2015) under consideration. The result of the study indicated that landscape trends have occurred in Chilimo-Gaji forest over the last 43 years and five classes of LUCC namely shrub land, rural settlement, bare land and road, forest land and agricultural land were identified. The most commonly reported drivers of deforestation in the study area were expansion of agricultural land, rural settlements, population growth, insecurity of the tenure and rights over the land, timber production and fuel wood collection. Surprisingly, the increasing demand for agricultural land and human settlement for increasing human population underpinned by expansion of agricultural activities led to the clearing of forest land in the study area. The study reveals that the forest land cover type has lost 922.14 hectares (26.96 %) which were changed into other land cover types such as agriculture and settlement for the study period under consideration with an annually rate of 21.45 ha. However, deforestation rates showed declining trend between the time periods 2008-2015 as a result of introduction of Participatory Forest Management (PFM) schemes (1996) which involve the local community in management and sharing of the benefit obtained from the management. In order to promote sustainable forest resources management in the study area in the years to come, integrated land use planning and management and addressing key drivers of deforestation were recommended.</abstract>

Department of Biology, College of Natural Science

Department of Natural Resource Management, College of Agriculture and Veterinary Science

Retrospective Analysis of Land Use Land Cover Dynamics Using GIS and Remote sensing in Central Highlands of Ethiopia

<abstract xmlns="http://www.w3.org/1999/xhtml">The Sudetenland has undergone a dramatic development in Czechia. Above all, the frontier regions of the then Czechoslovakia lost due to the decision on the displacement of the Sudeten Germans in 1945 almost 3 million native inhabitants, who left their settlement areas in several waves by 1947. This change affected up to 3 million hectares of agricultural land that became the state property. This had in many places eliminated the traditional way of farming and the disruption of ownership relations consequently led to the breaking of relations in the landscape. This case study focuses on the comparison of the development of the agricultural landscape of 4 selected cadastral areas on the border of Krkonoše and Jizera Mountains from the post-war period to the present. Selected areas of interest are pairs of comparable cadastres from areas affected by the displacement of the local German population and areas with a permanent population structure. This four sites covering a total area of 4052 ha were studied in Cool Landscape of Highlands and the Moderately Cold Landscape of Mountains. Historical and contemporary land-cover information was provided by aerial photographic images from 1953/1954 and aerial orto-photos from 1998 and 2015/2016. The results have shown that on all four of the areas there was a noticeable increase in forests on former agricultural land. However, the monitored areas differ in the continuity of agricultural land. Continuous agricultural land represents, in both areas affected by post-war displacement, approximately 55 % of the original agricultural land. Areas with a well-preserved population structure, on the other hand, show an overall continuity of agricultural land on about 71 % of the former area of agricultural land.</abstract>

Continuity and Extinction of Agricultural Land in the Sudetes - A Case Study in the Landscape of Highlands and Mountains

<abstract xmlns="http://www.w3.org/1999/xhtml">Present study investigated mapping and monitoring urban land areas from Landsat8 satellite data using remotely sensed indices. The normalized difference built-up index (NDBI), Enhanced Built-Up and Bareness Index (EBBI), Index-based built-up index (IBI), urban index (UI), normalized difference bareness index (NDBaI) were used to extract the built-up area. The NDBI was more effective at discriminating built-up areas and at increasing accuracy (overall accuracy of 76.45 % and kappa accuracy of 57 %) of the built-up density percentage than other remotely sensed indices. Evidence on built-up area change geographically would permit urban planner and decision makers to comprehend and appraise urban growth pattern in regards to land cover dynamics.</abstract>

Analysis for Mapping of Built-Up Area Using Remotely Sensed Indices – A Case Study of Rajarhat Block in Barasat Sadar Sub-Division in West Bengal (India)

<abstract xmlns="http://www.w3.org/1999/xhtml">Deforestation is a serious threat to areas with large forest resources. Indonesia as a tropical country has a vast forest in every region. Weak supervision leads to more deforestation cases being carried out by local communities, with negative consequences that directly lead to the local community. The involvement of local communities in managing forests is absolutely necessary. The study in this paper shows that local people have learned hard from the consequences of deforestation, and then learned to live harmoniously with nature in their local wisdom. Based on the results of the study shows that: (1) deforestation gives little benefit and is temporary compared to the prolonged negative impacts in the form of drought disaster, and on the other hand, (2) deforestation is a driving force in the creation of cultural landscape that makes people in Selat Village, Buleleng Regency, Bali Province is able to live harmoniously with the God’s, human and with the environment.</abstract>

Cultural Landscape: A Bridge Between Deforestation and Local Community?

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Journal of Landscape Ecology

The Journal of Landscape Ecology supports integration of knowledge from geo-, bio- and socio-sciences at the ecosystem and landscape level. Great emphasis is given to relationships between nature and culture including knowledge of ancient landscapes. The Journal publishes papers on spatial and temporal heterogeneity especially in the context of climate change and its impacts on terestrial environment across adequate scale hierarchy. Expertise from the spheres of land-use planning and design, habitat and landscape typology, ecosystem management, biodiversity protection and ecological restoration, and rules of ecological processes are promoted. The scope of the journal includes different landscapes and ecosystems of the world.  Why subscribe and read  Journal of landscape ecology publishes articles focused on spatial and temporal heterogeneity in natural and cultural landscape. Journal supports integration of geo-, bio- and sociosciences at the landscape level.  Why submit  Journal of Landscape Ecology is a peer-reviewed scientific journal according to standard procedure.  Rejection Rate   50%   Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 