Thematic resolution matters: Indicators of landscape pattern for European agro-ecosystems

被引:79
作者
Bailey, Debra
Herzog, Felix
Augenstein, Isabel
Aviron, Stephanie
Billeter, Regula
Szerencsits, Erich
Baudry, Jacques
机构
[1] ART Res Stn, CH-8046 Zurich, Switzerland
[2] UFZ Helmholtz Ctr Environm Res, Ctr Environm Res Leipzig Halle, Dept Appl Landscape Ecol, D-04318 Leipzig, Germany
[3] ETH, Swiss Fed Inst Technol, Geobot Inst, CH-8044 Zurich, Switzerland
[4] INRA, SAD Armor, F-35042 Rennes, France
关键词
landscape pattern; thematic resolution; fragstats; landscape metrics; agro-ecosystems;
D O I
10.1016/j.ecolind.2006.08.001
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Selecting meaningful metrics to describe landscapes is difficult due to our limited understanding of the links between landscape pattern and ecological process, the numerous indices available and the interaction between the spatial characteristics of the system and metric behaviour. We used an exploratory approach (factor and cluster analysis) for the selection of small sets of landscape descriptors. Twenty-five agricultural landscapes located across temperate Europe were classified using coarse (two and three classes), intermediate (14 classes) and fine (47 classes) scales of thematic resolution. We used statistical analyses to identify which landscape metrics were most useful for distinguishing between different landscapes at each of these scales of thematic resolution. We examined which aspects of spatial pattern were described by the selected metrics and compared our selection with metrics chosen in previous studies. Many of our landscape descriptors were common to earlier investigations but we found that the suitability of the indicators were dependent upon thematic resolution. At coarse thematic scales metrics describing the grain and area occupied by the largest patch (dominance metrics) were suitable to distinguish between landscapes, whereas shape, configuration and diversity indices were more useful at finer scales. At intermediate scales metrics that represent all of these components of landscape pattern were appropriate as landscape descriptors. We anticipate that these results will enable a more informed selection of metrics based on an improved knowledge of the effects of thematic resolution. (C) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:692 / 709
页数:18
相关论文
共 41 条
  • [1] Landscape metrics with ecotones: pattern under uncertainty
    Arnot, C
    Fisher, PF
    Wadsworth, R
    Wellens, J
    [J]. LANDSCAPE ECOLOGY, 2004, 19 (02) : 181 - 195
  • [2] BACKHAUS K, 2000, MULTIVARIATE ANAL ME
  • [3] Sensitivity of landscape pattern indices to input data characteristics on real landscapes: implications for their use in natural disturbance emulation
    David J. B. Baldwin
    Kevin Weaver
    Frank Schnekenburger
    Ajith H. Perera
    [J]. Landscape Ecology, 2004, 19 (3) : 255 - 271
  • [4] Using patch isolation metrics to predict animal movement in binary landscapes
    Bender, DJ
    Tischendorf, L
    Fahrig, L
    [J]. LANDSCAPE ECOLOGY, 2003, 18 (01) : 17 - 39
  • [5] BOGAERT J, 2002, LANDSCAPE ECOL, P1
  • [6] BUGTER RJF, 2001, DEV EUR LANDSC P INT, V92, P632
  • [7] A multi-scale analysis of landscape statistics
    Cain, DH
    Riitters, K
    Orvis, K
    [J]. LANDSCAPE ECOLOGY, 1997, 12 (04) : 199 - 212
  • [8] Davies C.E., 1999, EUNIS Habitat Classification. Final Report to the European topic centre on nature conservation from the Institute of terrestrial ecology
  • [9] Using conservation reserve program maps derived from satellite imagery to characterize landscape structure
    Egbert, SL
    Park, S
    Price, KP
    Lee, RY
    Wu, JP
    Nellis, AD
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2002, 37 (1-3) : 141 - 156
  • [10] Effect of habitat patch characteristics on abundance and diversity of insects in an agricultural landscape
    Fahrig, L
    Jonsen, I
    [J]. ECOSYSTEMS, 1998, 1 (02) : 197 - 205