Comparing environmental and biological surrogates for biodiversity at a local scale

被引:19
作者
Carmel, Yohay [1 ]
Stoller-Cavari, Liron [1 ]
机构
[1] Technion Israel Inst Technol, Fac Civil & Environm Engn, Div Environm Water & Agr Engn, IL-32000 Haifa, Israel
关键词
biodiversity surrogates; environmental domains; K-means classification; protected areas; Mt; Carmel;
D O I
10.1560/IJEE.52.1.11
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
A recent debate concerns the relative merit of the two major types of surrogates for biodiversity, biological Surrogates and environmental surrogates. Evidence, in the form of direct comparison of these two surrogate types, is scarce. We conducted a direct comparison of the performance of a series of biological and environmental surrogates, at a local scale (300 km(2)), which is often the relevant scale for land planning and management. Performance was referred to as the degree Of Surrogate congruence with a spatial pattern of diversity of woody species, of geophytes, and of land snails. "Environmental domains", surrogates based on numerical classification of environmental variables (topography, soil, and vegetation cover), outperformed other environmental surrogates (qualitatively delineated vegetation units and physiographic land types). The environmental domains surrogates were robust to subjective decisions on a number of classes and on input variables that drove the classification. The best biological surrogate was the woody species diversity pattern, with performance similar to that of the environmental domains. Our results support the notion that environmental domains may be reliable and cost-effective surrogates for biodiversity at small scales, particularly in data-poor regions.
引用
收藏
页码:11 / 27
页数:17
相关论文
共 55 条
[1]   Predicting species diversity with ED:: the quest for evidence [J].
Araújo, MB ;
Densham, P ;
Humphries, C .
ECOGRAPHY, 2003, 26 (03) :380-383
[2]   Would environmental diversity be a good surrogate for species diversity? [J].
Araújo, MB ;
Humphries, CJ ;
Densham, PJ ;
Lampinen, R ;
Hagemeijer, WJM ;
Mitchell-Jones, AJ ;
Gasc, JP .
ECOGRAPHY, 2001, 24 (01) :103-110
[3]   ENVIRONMENTAL REPRESENTATIVENESS - REGIONAL PARTITIONING AND RESERVE SELECTION [J].
BELBIN, L .
BIOLOGICAL CONSERVATION, 1993, 66 (03) :223-230
[4]   Capturing biodiversity: selecting priority areas for conservation using different criteria [J].
Bonn, A ;
Gaston, KJ .
BIODIVERSITY AND CONSERVATION, 2005, 14 (05) :1083-1100
[5]   Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA [J].
Burrough, PA ;
Wilson, JP ;
van Gaans, PFM ;
Hansen, AJ .
LANDSCAPE ECOLOGY, 2001, 16 (06) :523-546
[6]   Predicting mammal species richness and distributions: testing the effectiveness of satellite-derived land cover data [J].
Cardillo, M ;
Macdonald, DW ;
Rushton, SP .
LANDSCAPE ECOLOGY, 1999, 14 (05) :423-435
[7]   NONPARAMETRIC MULTIVARIATE ANALYSES OF CHANGES IN COMMUNITY STRUCTURE [J].
CLARKE, KR .
AUSTRALIAN JOURNAL OF ECOLOGY, 1993, 18 (01) :117-143
[8]   Nature conservation requires more than a passion for species [J].
Cowling, RM ;
Knight, AT ;
Faith, DP ;
Ferrier, S ;
Lombard, AT ;
Driver, A ;
Rouget, M ;
Maze, K ;
Desmet, PG .
CONSERVATION BIOLOGY, 2004, 18 (06) :1674-1676
[9]   Physio-climatic classification of South Africa's woodland biome [J].
Fairbanks, DHK .
PLANT ECOLOGY, 2000, 149 (01) :71-89
[10]   Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa [J].
Fairbanks, DHK ;
Benn, GA .
LANDSCAPE AND URBAN PLANNING, 2000, 50 (04) :237-257