LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows

Ricotta, Carlo; Corona, Piermaria; Marchetti, Marco; Chirici, Gherardo; Innamorati, Stefano

doi:10.1016/s1364-8152(02)00104-4

Cited by 29 publications

(18 citation statements)

References 22 publications

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“…Rènyi generalized entropy function has been recently referred to as a continuum of diversity measures [14]. Hill [15] proved that the exponential form of Rènyi entropies exp q q N H = -he called diversity numbers-has an immediate connection with diversity indices used in Ecology: the richness in species, the exponential form of Shannon entropy and the inverse of Simpson's index.…”

Section: Statistical Entropy and Diversitymentioning

confidence: 99%

Discussing an Expected Utility and Weighted Entropy Framework

Casquilho¹

2014

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In this paper, it is discussed a framework combining traditional expected utility and weighted entropy (EU-WE)-also named mean contributive value index-which may be conceived as a decision aiding procedure, or a heuristic device generating compositional scenarios, based on information theory concepts, namely weighted entropy. New proofs concerning the maximum value of the index and the evaluation of optimal proportions are outlined, with emphasis on the optimal value of the Lagrange multiplier and its meaning. The rationale is a procedure of maximizing the combined value of a system expressed as a mosaic, denoted by characteristic values of the states and their proportions. Other perspectives of application of this EU-WE framework are suggested.

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Section: Statistical Entropy and Diversitymentioning

confidence: 99%

Discussing an Expected Utility and Weighted Entropy Framework

Casquilho¹

2014

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“…One basic assumptions behind this study and the developed indicator model is that the spatial configuration and high diversity of habitats in a landscape is vital for many species, and consequently that highly heterogeneous landscapes display a greater diversity of species (Ricotta et al, 2003;Bennett et al, 2006;Pacini et al, 2009;Walz, 2011). On the other hand, large continuous habitats or land use classes (e.g.…”

Section: Discussionmentioning

confidence: 99%

Indicators to monitor the structural diversity of landscapes

Walz

2015

Ecological Modelling

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“…As reported in literature the average hare has home range was supposed of 50 ha (Broekhuizen and Maaskamp, 1982;Reitz and Leonard, 1994;Rühe and Hohmann, 2004;Bray et al, 2007), the Shannon index was calculated on a geometric window of 17x17 cells (each cell 40 x 40 metres), only in non-urban areas of the land use map. The software used was LaDy (Ricotta et al, 2003).…”

Section: Habitat Suitability Model Computationmentioning

confidence: 99%

Simulating Brown hare (Lepus europaeusPallas) dispersion: a tool for wildlife management of wide areas

Pelorosso

Boccia

Amici

2008

Italian Journal of Animal Science

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The second half of the 20 th century was characterised by intense processes of urbanisation, industrialisation and agricultural mechanisation, leading to a fragmentation of the agricultural and forest landscape. This, in turn, reduced the bio-permeability of the territory and affected the dispersion of many wild species. Brown hare (Lepus europeus) dispersion is dramatically affected by habitat fragmentation, presence of predators, intense tillage and elevated hunting pressure. Consequently, the only stable populations of hare are often in no-hunting areas where wildlife management is efficient. It is necessary, therefore, to identify not only additional areas suitable for reproduction, but also the most suitable dispersion pathways for hares, in order to optimise management. In the present study, by means of a Geographic Information System (GIS), a deterministic hare suitability model was developed on the basis of a multicriterial approach and fuzzy logic. Subsequently, a friction surface was derived from the suitability map in order to describe the land bio-permeability. Finally, on the basis of species potential, the spread of hares from stable population areas (source areas) to the remaining territory was simulated. The area of study was the province of Viterbo (central Italy). The suitability map showed good discrimination ability (ROC=0.705). The hare dispersion simulation map allowed the potential spreading of this species throughout the provincial territory to be analysed. Isolated or less connected zones were highlighted, allowing the distribution of habitat enhancements, and/or the institution of new no-hunting areas devoted to the reproduction and consequent spread of hares throughout the territory, to be localised. The presented flexible and reiterable methodology could prove useful for wildlife management and hunting planning over a wide area. It would thus provide an important contribution to reducing the importance of animal translocation and favouring an increase in native resources spontaneously spreading throughout a territory. In a more general sense, this study is in accordance with the sustainable land management perspective, meeting the requirements of environmental protection, without compromising the anthropic development of non-urban areas.

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LaDy: software for assessing local landscape diversity profiles of raster land cover maps using geographic windows

Cited by 29 publications

References 22 publications

Discussing an Expected Utility and Weighted Entropy Framework

Discussing an Expected Utility and Weighted Entropy Framework

Indicators to monitor the structural diversity of landscapes

Simulating Brown hare (Lepus europaeusPallas) dispersion: a tool for wildlife management of wide areas

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