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Ability of spatial indicators to detect geographic changes (shift, shrink and split) across biomass levels and sample sizes ArchiMer
Rufino, Marta; Bez, Nicolas; Brind'Amour, Anik.
Spatial indicators are widely used to monitor species and are essential to management and conservation. In the present study, we tested the ability of 11 spatial indicators to quantify changes in species’ geographic patterns: (1) spatial displacement of a patch of biomass (‘shift’), (2) a spatial decrease in a patch, accompanied either by a loss of biomass (‘shrink0’) or (3) a relocation of the same biomass (‘shrink1’), and (4) splitting of a patch into smaller patches (‘split’). The geographic changes were simulated by manipulating the spatial distributions of the demersal species (observed during bottom trawl surveys). Hence, the spatial distributions of the latter being used as input data on which the manipulations were done. Additionally, other aspects...
Tipo: Text Palavras-chave: Spatial metrics; Monitoring; Marine conservation; Fisheries management.
Ano: 2020 URL: https://archimer.ifremer.fr/doc/00625/73684/73148.pdf
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Land-Use and Land Cover Dynamics in South American Temperate Grasslands Ecology and Society
In the Río de la Plata grasslands (RPG) biogeographical region of South America, agricultural activities have undergone important changes during the last 15–18 years because of technological improvements and new national and international market conditions. We characterized changes in the landscape structure between 1985–1989 and 2002–2004 for eight pilot areas distributed across the main regional environmental gradients. These areas incorporated approximately 35% of the 7.5 × 105 km&#178 of the system. Our approach involved the generation of land-use and land cover maps, the analysis of landscape metrics, and the computation of annual transition probabilities between land cover types. All of the...
Tipo: Peer-Reviewed Reports Palavras-chave: Campos; Fragmentation; Grasslands; Land use; Landscape dynamics pampas; Remote sensing; Spatial metrics.
Ano: 2008
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