2015
DOI: 10.1016/j.jaridenv.2015.05.014
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How are landscape complexity and vegetation structure related across an agricultural frontier in the subtropical Chaco, NW Argentina?

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Cited by 7 publications
(3 citation statements)
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“…These metrics mainly focused on patch shape, area, and distance from edge. However, there are several other types of landscape metric that can provide additional information such as variability, diversity, contagion and interspersion metrics such as those in [40]. Another limitation is that due to the available data, the study period was quite short.…”
mentioning
confidence: 99%
“…These metrics mainly focused on patch shape, area, and distance from edge. However, there are several other types of landscape metric that can provide additional information such as variability, diversity, contagion and interspersion metrics such as those in [40]. Another limitation is that due to the available data, the study period was quite short.…”
mentioning
confidence: 99%
“…The spatial variation of tree size (DBH) was calculated using the coefficient of variation ( SD /mean density = CV in %) of the density of trees per transect (Monmany, Yu, Restrepo, & Zimmerman, ). A low number indicates low structural heterogeneity of trees in the border, irrespective of tree species richness in the border.…”
Section: Methodsmentioning
confidence: 99%
“…However, studies that quantify the complexity of the 2D landscape do not clearly link the patterns to the processes (Li & Wu, 2004;Cushman et al, 2008). One way to interpret this link is to examine what aspect of 3D vegetation is being captured by landscape metrics (Monmany et al, 2015). For example, surface metrics represent quantitative measurements that vary continuously across the landscape and the data can be conceptualized as representing a three-dimensional surface (e.g., biomass) (McGarigal, 2015).…”
Section: Introductionmentioning
confidence: 99%