Scale dependent effects in resource selection by crop-raiding Japanese macaques in Niigata Prefecture, Japan

被引:14
作者
Mochizuki, Shota [1 ]
Murakami, Takuhiko [2 ]
机构
[1] Niigata Univ, Grad Sch Sci & Technol, Niigata 9502181, Japan
[2] Niigata Univ, Fac Agr, Niigata 9502181, Japan
基金
日本学术振兴会;
关键词
Ensemble learning; Landscape heterogeneity; Japanese macaques; Multiple spatial scale; Human-wildlife conflicts; HABITAT SELECTION; HOME-RANGE; FUNCTIONAL-RESPONSES; TEMPORAL SCALES; HETEROGENEITY; AVAILABILITY; WILDLIFE; DEER; BEAR;
D O I
10.1016/j.apgeog.2013.04.016
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
A resource selection function is one that yields values proportional to the probability of use of a resource unit. This quantity is influenced by the heterogeneity of landscape structures, which occurs over multiple spatial scales. To provide input into wildlife management strategies, we investigated the scale dependency and functional responses of Japanese macaques using multiple scale analysis. The multiple buffers with radii of 100, 500, 1000, 1500, 2000, and 2500 m were defined as the spatial scale. Crop damage was predicted at the within-home range scale, using the Random Forests algorithm with environmental variables linked to resource selection of Japanese macaques. Sixteen environmental variables were defined, covering aspects of landscape configuration, human disturbance, topography, and adopted countermeasures. Crop damage was most accurately predicted within a buffer zone of 1000 m, although radii exceeding 1000 m were also highly accurate. Although the importance of variables differed among spatial extents, the functional responses for each environmental variable were independent of spatial extent. These results suggest that the limiting factors of crop damage depend on spatial extent, while functional responses in resource selection remain constant across spatial extents. We also compared a multi-scale gradient map with a typical binary map to demonstrate the uncertainty in damage predictions at different spatial scales. Our results may aid wildlife management planning, for which differences in resource selection across different spatial scales are critically important. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:13 / 22
页数:10
相关论文
共 54 条
  • [2] [Anonymous], 2001, The elements of statistical learning: data mining, inference and prediction
  • [3] Beyer H., 2010, GEOSPATIAL MODELING
  • [4] Evaluating resource selection functions
    Boyce, MS
    Vernier, PR
    Nielsen, SE
    Schmiegelow, FKA
    [J]. ECOLOGICAL MODELLING, 2002, 157 (2-3) : 281 - 300
  • [5] Scale and heterogeneity in habitat selection by elk in Yellowstone National Park
    Boyce, MS
    Mao, JS
    Merrill, EH
    Fortin, D
    Turner, MG
    Fryxell, J
    Turchin, P
    [J]. ECOSCIENCE, 2003, 10 (04): : 421 - 431
  • [6] Relating populations to habitats using resource selection functions
    Boyce, MS
    McDonald, LL
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 1999, 14 (07) : 268 - 272
  • [7] Home Range Estimates Vary with Sample Size and Methods
    Boyle, Sarah A.
    Lourenco, Waldete C.
    da Silva, Livia R.
    Smith, Andrew T.
    [J]. FOLIA PRIMATOLOGICA, 2009, 80 (01) : 33 - 42
  • [8] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [9] Conover M., 2001, Resolving human-wildlife conflicts: the science of wildlife damage management
  • [10] Cushman SA, 2010, SPATIAL COMPLEXITY, INFORMATICS, AND WILDLIFE CONSERVATION, P369, DOI 10.1007/978-4-431-87771-4_20