Spatial correlograms of soil cover as an indicator of landscape heterogeneity

Uuemaa, Evelyn; Roosaare, Jüri; Kanal, Arno; Mander, Ülo

doi:10.1016/j.ecolind.2006.12.002

Cited by 38 publications

(29 citation statements)

References 65 publications

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“…The mathematical expressions and ecological meanings of these metrics representing different landscape aspects are listed in Appendix C of the FRAGSTATS software manual (McGarigal et al, 2002). According to previous studies, the input pixel size of the land use map principally influences the analytical metric results (Liu et al, 2005;Uuemaa et al, 2005Uuemaa et al, , 2008Ouyang et al, 2009). In this study, we selected 200 m as the input pixel size based on previous studies (Uuemaa et al, 2008;Ouyang et al, 2009;.…”

Section: Landscape Metric Selection and Calculationmentioning

confidence: 99%

“…Although some approaches were tested to eliminate the effects of factors such as grain, extent, and classification scheme on landscape metrics, they are rarely found to have good applicability (Wu, 2004;Corry, 2005;. Uuemaa et al (2005Uuemaa et al ( , 2008 demonstrated that responses of landscape metrics to changing grain size vary among landscapes and metrics, such as patch density and edge density decreasing sharply within the 100 m grain size and then fluctuating slightly; the contagion decreasing significantly up to a grain size of 400 m then fluctuating with further increases in grain size for all landscapes; Shannon's diversity index and evenness index decreasing up to one patch at the 400 m grain size; mean shape index decreasing significantly up to a grain size of 100 m and from 200 m showing erratic responses to increasing grain size. Therefore, in this study, we selected 200 m as the input pixel size based on the spatial resolution of Landsat MSS (80 m) and TM (30 m) images and methods followed in other studies (Uuemaa et al, 2008;.…”

Section: Landscape Metrics For Assessing the Impact Of Dam Constructimentioning

confidence: 99%

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Landscape change and hydrologic alteration associated with dam construction

Zhao

Liu

Deng

et al. 2012

International Journal of Applied Earth Observation and Geoinfor

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Section: Landscape Metric Selection and Calculationmentioning

confidence: 99%

Section: Landscape Metrics For Assessing the Impact Of Dam Constructimentioning

confidence: 99%

Landscape change and hydrologic alteration associated with dam construction

Zhao

Liu

Deng

et al. 2012

International Journal of Applied Earth Observation and Geoinfor

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“…Specifically, we used Shannon's diversity index (SHDI) and contagion index (CONTAG) to perform landscape analysis at the city level. SHDI is an index based on information theory widely applied in landscape ecology studies [26]. This index indicates the patch diversity in the landscape and equals 0 when the landscape contains only one patch.…”

Section: Framework Of Probing Into Urbanization and Sustainabilitymentioning

confidence: 99%

Urbanization and Sustainability: Comparison of the Processes in “BIC” Countries

et al. 2016

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Abstract:The urbanized world has brought social, economic, and environmental sustainability into challenged surroundings in rapidly rising countries, thereby requiring the exploration of their intertwined relationships. This study regarded Brazil, India, and China as "BIC" countries to be the representative study areas for our investigation of sustainability in the context of rapid urbanization. In general, our work was synthesized into a comparison framework in four aspects: rural-urban relation, industrial development, city development, and urban landscape pattern. We determined that rural-urban dichotomy exists in all study areas, with India and China having a high degree. China was identified as a manufacturing-based country in the past half-century, whereas Brazil and India have the service sector as their primary industry. The distribution of large cities follows a regional pattern, with Brazil being northeast-focused, China being southeast-focused, and India being comparatively balanced. The Amazon forest in the north brings great challenges to Brazil with respect to the conservation of its biodiversity and eco-environment. India and China have encountered tremendous urban expansion or sprawl in the past several decades. The sustainability issues in social, economic, and environmental aspects for Brazil, India, and China were summarized in the context of rapid urbanization to provide references for other countries.

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“…The understanding of such relationships is fundamental to understand the ecosystem dynamics (Fortin and Dale 2005;Zurlini and Girardin 2008;Boscolo and Metzger 2009). Multi-scale effects have been explored in aquatic systems (Cassandra et al 2008), landscape changing patterns (Walz 2008), impact assessment on preserved areas (Zaccarelli et al 2008), bird incidence in fragmented landscapes (Boscolo and Metzger 2009) and chironomid taxon associations in neotropical streams (Roque et al (in press)), however has hardly been addressed relative to medium and large mammals distribution (but see Comiskey et al 2002).…”

Section: Introductionmentioning

confidence: 99%

Influence of multi-scale landscape structure on the occurrence of carnivorous mammals in a human-modified savanna, Brazil

et al. 2009

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São Paulo is the most developed state in Brazil and contains few fragments of native ecosystems, generally surrounded by intensive agriculture lands. Despite this, some areas still shelter large native animals. We aimed at understanding how medium and large carnivores use a mosaic landscape of forest/savanna and agroecosystems, and how the species respond to different landscape parameters (percentage of landcover and edge density), in a multi-scale perspective. The response variables were: species richness, carnivore frequency and frequency for the three most recorded species (Puma concolor, Chrysocyon brachyurus and Leopardus pardalis). We compared 11 competing models using Akaike's information criterion (AIC) and assessed model support using weight of AIC. Concurrent models were combinations of landcover types (native vegetation, "cerrado" formations, "cerradão" and eucalypt plantation), landscape feature (percentage of landcover and edge density) and spatial scale. Herein, spatial scale refers to the radius around a sampling point defining a circular landscape. The scales analyzed were 250 (fine), 1,000 (medium) and 2,000 m (coarse). The shape of curves for response variables (linear, exponential and power) was also assessed. Our results indicate that species with high mobility, P. concolor and C. brachyurus, were best explained by edge density of the native vegetation at a coarse scale (2,000 m). The relationship between P. concolor and C.brachyurus frequency had a negative power-shaped response to explanatory variables. This general trend was also observed for species richness and carnivore frequency. Species richness and P. concolor frequency were also well explained by a second concurrent model: edge density of cerradão at the fine (250 m) scale. A different response was recorded for L. pardalis, as the frequency was best explained for the amount of cerradão at the fine (250 m) scale. The curve of response was linearly positive. The contrasting results (P. concolor and C. brachyurus vs L. pardalis) may be due to the much higher mobility of the two first species, in comparison with the third. Still, L. pardalis requires habitat with higher quality when compared with other two species. This study highlights the importance of considering multiple spatial scales when evaluating species responses to different habitats. An important and new finding was the prevalence of edge density over the habitat extension to explain overall carnivore distribution, a key information for planning and management of protected areas.

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Spatial correlograms of soil cover as an indicator of landscape heterogeneity

Cited by 38 publications

References 65 publications

Landscape change and hydrologic alteration associated with dam construction

Landscape change and hydrologic alteration associated with dam construction

Urbanization and Sustainability: Comparison of the Processes in “BIC” Countries

Influence of multi-scale landscape structure on the occurrence of carnivorous mammals in a human-modified savanna, Brazil

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