Abstract

Landscape metrics are useful tools in investigating spatial structure and in describing the heterogeneity of landscapes, but are sensitive to grain size. Thus, it is necessary to determine the appropriate grain size before researching landscape patterns. However, there have been few large-scale investigations in high-precision research about the effect of grain size on landscape patterns, especially in arid valleys in China. Thus, we selected three representative sample areas according to the basic characteristics of arid valleys, and we chose 22 grain sizes from 15 to 450 m to calculate twelve landscape metrics at the landscape level and six landscape metrics at the class level to analyze the most appropriate grain size for the arid valleys. All basins in the study area were converted to an appropriate-sized grid to analyze the landscape patterns. Our results showed that the effect of grain size on landscape metrics can be categorized as: no law, increasing, decreasing, or no change. The majority of the fitted landscape index curves were good, with high R2 values. The most appropriate grain size at both levels was 75 m. The landscape pattern of arid valleys was scale-dependent. At the landscape level, arid valley landscape patterns changed from northwest to southeast due to topography and hydrothermal conditions. While the value of aggregation for different size classes was high, the other metrics showed significant differences due to area and degree of human activity at the class level.

Highlights

  • Landscape metrics are widely used to investigate spatial structure and describe the heterogeneity of landscapes [1,2,3,4,5]

  • Terheesvhaolwuenssfeopratroattaellya;rtehae(oTtAhe)rv1a1rimedetgrircesawtlyerseoptlhaceegdroaninosnizeemeafpfeoctf othfeththisreiendsaemx pfoler tsahareematpshlfreoeraercseoaamms pfpoalrersicsowomnerp(eFairsgihsuoorwne n4(F)s.igepuarera4t)e.ly; the other 11 metrics were placed on one map of the three

  • The Interspersion and Juxtaposition Index (IJI) response curve has inflection points at 60 m and 180 m; the index of arid valley js2 begins to be disordered at 195 m, while the response curves of mj and yj fluctuate greatly after 300 m

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Summary

Introduction

Landscape metrics are widely used to investigate spatial structure and describe the heterogeneity of landscapes [1,2,3,4,5]. It is important to consider the effects of scale on interpretation of spatial heterogeneity and its ecological consequences [6]. With improved calculations and methods for analyzing landscape patterns, assessing the scale effect on landscape pattern metrics has been a key area of research in landscape ecology [7]. Spatial scale is a central variable in research on landscape patterns and has two important components: extent and grain size [12,13]. Extent is the total length, area, or volume that exists or is analyzed; grain size is the basic landscape unit, affecting the precision and accuracy of the calculation and the validity and completeness of the information extracted [14,15]. When grain size is closest to the actual scale of the landscape in question, interpretations of landscape patterns are most accurate [16]

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