Repozytorium Uniwersytetu Jagiellońskiego

Effects of different matrix representations and connectivity measures on habitat network assessments

Pokaż opis pozycji

dc.contributor.author

Ziółkowska, Elżbieta [SAP14001098]

pl
dc.contributor.author

Ostapowicz, Katarzyna [SAP11019566]

pl
dc.contributor.author

Kuemmerle, Tobias

pl
dc.contributor.author

Radeloff, Volker

pl
dc.date.accessioned

2015-03-12T06:57:27Z

dc.date.available

2015-03-12T06:57:27Z

dc.date.issued

2014

pl
dc.identifier.issn

0921-2973

pl
dc.identifier.uri

http://ruj.uj.edu.pl/xmlui/handle/item/3741

dc.language

eng

pl
dc.rights

Dodaję tylko opis bibliograficzny

*
dc.rights.uri

*
dc.title

Effects of different matrix representations and connectivity measures on habitat network assessments

pl
dc.type

JournalArticle

pl
dc.description.physical

1551-1570

pl
dc.abstract.en

Assessing landscape connectivity is important to understand the ecology of landscapes and to evaluate alternative conservation strategies. The question is though, how to quantify connectivity appropriately, especially when the information available about the suitability of the matrix surrounding habitat is limited. Our goal here was to investigate the effects of matrix representation on assessments of the connectivity among habitat patches and of the relative importance of individual patches for the connectivity within a habitat network. We evaluated a set of 50 × 50 km^2 test areas in the Carpathian Mountains and considered three different matrix representations (binary, categorical and continuous) using two types of connections among habitat patches (shortest lines and least-cost paths). We compared connections, and the importance of patches, based on (1) isolation, (2) incidence-functional, and (3) graph measures. Our results showed that matrix representation can greatly affect assessments of connections (i.e., connection length, effective distance, and spatial location), but not patch prioritization. Although patch importance was not much affected by matrix representation, it was influenced by the connectivity measure and its parameterization. We found the biggest differences in the case of the integral index of connectivity and equally weighted patches, but no consistent pattern in response to changing dispersal distance. Connectivity assessments in more fragmented landscapes were more sensitive to the selection of matrix representation. Although we recommend using continuous matrix representation whenever possible, our results indicated that simpler matrix representations can be also used as a proxy to delineate those patches that are important for overall connectivity, but not to identify connections among habitat patches.

pl
dc.subject.en

connectivity assessment

pl
dc.subject.en

resistance surface

pl
dc.subject.en

conservation

pl
dc.subject.en

graph theory

pl
dc.subject.en

landscape representation

pl
dc.subject.en

least-cost path modeling

pl
dc.description.volume

29

pl
dc.description.number

9

pl
dc.identifier.doi

10.1007/s10980-014-0075-2

pl
dc.identifier.eissn

1572-9761

pl
dc.title.journal

Landscape Ecology

pl
dc.language.container

eng

pl
dc.affiliation

Wydział Biologii i Nauk o Ziemi : Instytut Geografii i Gospodarki Przestrzennej

pl
dc.subtype

Article

pl
dc.rights.original

CC-BY-NC; inne; ostateczna wersja wydawcy; w momencie opublikowania; 0;

pl
.pointsMNiSW

[2014 A]: 35



Pliki tej pozycji

Plik Rozmiar Format Przeglądanie

Nie ma plików powiązanych z tą pozycją.

Pozycja umieszczona jest w następujących kolekcjach

Pokaż opis pozycji

Szukaj w RUJ


Szukanie zaawansowane

Statystyki