Empirical patterns of the effects of changing scale on landscape metrics

By Jianguo Wu, W. Shen, Weizhong Sun, P. Tueller. Landscape Ecology, 2002

584 citations recorded by the source corpus.

Subfields: Ecology, Evolution, Behavior and Systematics, Global and Planetary Change, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/94860aa8e7e5569a79737debb31b47eb062da189

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In Ecology, Evolution, Behavior and Systematics

In Global and Planetary Change

In Nature and Landscape Conservation

Citations in the corpus

Richness and composition of plants and birds on land‐bridge islands: effects of island attributes and differential responses of species groups (2012, background): “PAR is the relative edge length of an island and provides an indication of the relative amount of edge versus core/interior habitat (McGarigal & Marks, 1995; Wu et al., 2002; Wu, 2004).”
Surface metrics: an alternative to patch metrics for the quantification of landscape structure (2009, background): “While we examined the behavior of surface metrics computed at two window sizes (i.e., landscape extents), a thorough examination of the scaling behavior of these metrics (across both grain and extent, as in Wu et al. 2002 ) remains a priority for future research.”
Effects of changing scale on landscape pattern analysis: scaling relations (2004, methodology): “Details of these study areas have been given elsewhere Wu et al. 2003; Luck and Wu 2002 .”
Landscape metric performance in analyzing two decades of deforestation in the Amazon Basin of Rondonia, Brazil (2006, background): “PSSD, PSCoV, and LPI have been reported to be stable metrics with respect to spatial resolution by other researchers contrary to the results of this study (Saura, 2002, 2004; Shen et al., 2004; Wu, 2004; Wu et al., 2000, 2002).”
The influence of thematic resolution on metric selection for biodiversity monitoring in agricultural landscapes (2007, background): “Wu et al. 2002 , W u2004) the influence of thematic resolution is still poorly understood.”
Behavior of class-level landscape metrics across gradients of class aggregation and area (2004, background): “For example, in an investigation involving real landscapes, Wu et al. 2002 found that metrics fell into three categories of response to changing scale; responses were predictable in only one of these categories.”
Impact of scale on morphological spatial pattern of forest (2008, methodology): “Using the Wu et al. (2003) classification of metrics, the MSPA classes can be categorized as ‘‘Type I’’ metrics exhibiting consistent and robust scaling relations in the forms of linear, power, or logarithmic functions over a range of scale.”
Scale dependent inference in landscape genetics (2010, unknown): “Other papers have investigated how changing spatial grain (Turner et al. 1989; Wickham and Ritters 1995; Wu et al. 2000; Lausch and Herzog 2002; Wu et al. 2002; Zhao et al. 2003; Wu 2004) and landscape extent (Saura and Martinez-Millan 2001; Shen et al.”
Evaluating the effectiveness of landscape metrics in quantifying spatial patterns (2010, background): “In recent decades, more focus has been paid to scale relations (Wu et al., 2000, 2002; Saura and Martinez-Millan, 2001; Lausch and Herzog, 2002; Shen et al., 2004; Wu, 2004; Uuemaa et al., 2005; Saura and Castro, 2007), the accuracy of source data (Shao et al., 2001; Shao and Wu, 2008), and the…”