Modelling indicators and indices of landscape complexity: an approach using G.I.S.

Author(s):  
F Papadimitriou
Keyword(s):  
2001 ◽  
Vol 2 (1) ◽  
pp. 109-119 ◽  
Author(s):  
D.J. Walker ◽  
N. C. Kenkel

2003 ◽  
Vol 63 (4) ◽  
pp. 241-250 ◽  
Author(s):  
O. Honnay ◽  
K Piessens ◽  
W Van Landuyt ◽  
M Hermy ◽  
H Gulinck

1994 ◽  
Vol 5 (4) ◽  
pp. 505-516 ◽  
Author(s):  
A.J. Rescia ◽  
M.F. Schmitz ◽  
P. Martín de Agar ◽  
C.L. Pablo ◽  
J.A. Atauri ◽  
...  

2021 ◽  
Vol 13 (10) ◽  
pp. 5424
Author(s):  
Martina Venturi ◽  
Francesco Piras ◽  
Federica Corrieri ◽  
Beatrice Fiore ◽  
Antonio Santoro ◽  
...  

The landscape is considered a strategic asset by the Tuscan regional government, also for its economic role, meaning that a specific Landscape Plan has been developed, dividing the region into 20 Landscape Units and representing the main planning instrument at the regional level. Following the aims of the Landscape Plan and the guidelines of the European Landscape Convention, it is necessary to develop an adequate assessment of the landscape, evaluating the main typologies and their characteristics. The aim of this research is to carry out an assessment of the landscape diversity in Tuscany based on 20 study areas, analyzing land uses and landscape mosaic structures through the application of landscape metrics: number of land uses, mean patch size (MPS), Hill’s diversity number, edge density (ED), patch density (PD), land use diversity (LUD). The results highlight a correlation between the landscape typologies (forest, agricultural, mixed, periurban) and the complexity of the landscape structure, especially in relation to MPS and PD, while the combination of PD and LUD calculated on the basis of a hexagonal grid allows obtaining landscape complexity maps. Despite the phenomena of reforestation and urban sprawl of recent decades, Tuscany still preserves different landscape typologies characterized by a good level of complexity. This is particularly evident in mixed landscapes, while agricultural landscapes have a larger variability because of different historical land organization forms. The methodology applied in this study provided a large amount of data about land uses and the landscape mosaic structure and complexity and proved to be effective in assessing the landscape structure and in creating a database that can represent a baseline for future monitoring.


2022 ◽  
Vol 328 ◽  
pp. 107864
Author(s):  
Pierre Mallet ◽  
Arnaud Béchet ◽  
Thomas Galewski ◽  
François Mesléard ◽  
Samuel Hilaire ◽  
...  

2017 ◽  
Vol 214 ◽  
pp. 312-319 ◽  
Author(s):  
Tibor Bukovinszky ◽  
Joke Verheijen ◽  
Susan Zwerver ◽  
Esther Klop ◽  
Jacobus C. Biesmeijer ◽  
...  

Therya ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 213-236
Author(s):  
Amanda K. Jones ◽  
Schuyler W. Liphardt ◽  
Jonathan L. Dunnum

A study of the mammals of the Gila region of New Mexico was conducted from 2012 through 2020, with 2,919 voucher specimens collected through fieldwork and collaborations with commercial trappers, in addition to data from camera traps, review of major holdings at 46 museums (n = 12,505 georeferenced specimens), and literature review.  Specimens cover a 170-year span, dating back to 1850 and were unevenly distributed spatially and temporally across the Gila region.  Most areas were very poorly represented and when summed across all mammal species, ranged from 0.02 to 3.7 specimens per km2.  The survey documented 108 species (104 now extant) for the region.  High species richness, greater than that reported for 38 states in the United States, is likely due to the juxtaposition of multiple biomes in the Gila, including the Sonoran, Chihuahuan, and Great Basin deserts, the Rocky Mountains and Sierra Madre Occidental, and nearby “sky islands’’ of the Southwest.  Two species, Leptonycteris yerbabuenae and Zapus luteus, are documented for the first time from the study area.  Expansions of the known range of these species, and Sciurus arizonensis are described from specimen and camera data.  Preliminary phylogeographic studies of four species (Notiosorex crawfordi, Neotoma albigula, Perognathus flavus, and Thomomys bottae) using the mitochondrial cytochrome-b gene reveal the dynamic biogeographic history of the region and reinforce how landscape complexity and climate change have jointly contributed to diversification and thus high mammalian diversity in the region.


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