Challenges of species distribution modeling belowground

被引:41
作者
Schroeder, Boris [1 ]
机构
[1] Univ Potsdam, Inst Geoecol, D-14476 Potsdam, Germany
关键词
habitat analysis; species distribution modeling; prediction; explanation; habitat-based soil ecology; spatial soil ecology;
D O I
10.1002/jpln.200700027
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Understanding the relationship between soil biodiversity, habitat, and function is one of the main issues of soil-ecological research. The description of spatiotemporal distributions of soil organisms at relevant scales and in relation to their activity is a prerequisite to understand and quantify the factors that control soil functions. Species distribution models can help to explain the functional relationships between organisms and their habitat by estimating occurrence probabilities from spatial-distribution data and environmental predictors for single species or species groups. Here, I present a brief overview of recent developments in species distribution models and illustrate this tool with a case study using a carabid beetle species in a small-scale highly heterogeneously structured environment. In the light of the peculiarities of soil organisms and habitat, several implications and challenges of species distribution models are discussed referencing some instructive studies on the spatial distribution of soil organisms over a range of spatiotemporal scales. The most important challenges of species distribution models for soil organisms comprise the spatiotemporal heterogeneity of soil habitat on a hierarchy of nested scales; the overwhelming diversity of soil organisms with largely unknown life histories, habitat requirements, and dispersal characteristics; taxonomic and technical limitations regarding sampling and measurements; feedbacks between soil biota and their habitat. There is a clear theoretical and practical basis for considering both environmental and geographic drivers of species distributions in soil studies, and for doing so across multiple scales. This would yield a habitat-based soil ecology by combining the spatially explicit approach proposed by Ettemaand Wardle(2002) with the niche-based approach of species distribution modeling.
引用
收藏
页码:325 / 337
页数:13
相关论文
共 185 条
[1]   Slow recovery of soil biodiversity in sandy loam soils of Georgia after 25 years of no-tillage management [J].
Adl, SM ;
Coleman, DC ;
Read, F .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2006, 114 (2-4) :323-334
[2]   NEW LOOK AT STATISTICAL-MODEL IDENTIFICATION [J].
AKAIKE, H .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1974, AC19 (06) :716-723
[3]   LINKING LANDSCAPE DATA WITH POPULATION VIABILITY ANALYSIS - MANAGEMENT OPTIONS FOR THE HELMETED HONEYEATER LICHENOSTOMUS MELANOPS CASSIDIX [J].
AKCAKAYA, HR ;
MCCARTHY, MA ;
PEARCE, JL .
BIOLOGICAL CONSERVATION, 1995, 73 (02) :169-176
[4]  
Allen T., 1982, Hierarchy. Perspectives for Ecological Complexity
[5]  
ANDERSON JM, 1993, LINKING SPECIES ECOS, P94
[6]   Soil biodiversity:: myth, reality or conning? [J].
André, HM ;
Ducarme, X ;
Lebrun, P .
OIKOS, 2002, 96 (01) :3-24
[7]  
[Anonymous], METACOMMUNITIES
[8]   Environmental parameters and microspatial distribution of insects: a case study of carabids in an alluvial forest [J].
Antvogel, H ;
Bonn, A .
ECOGRAPHY, 2001, 24 (04) :470-482
[9]   Would climate change drive species out of reserves?: An assessment of existing reserve-selection methods [J].
Araújo, MB ;
Cabeza, M ;
Thuiller, W ;
Hannah, L ;
Williams, PH .
GLOBAL CHANGE BIOLOGY, 2004, 10 (09) :1618-1626
[10]   Ensemble forecasting of species distributions [J].
Araujo, Miguel B. ;
New, Mark .
TRENDS IN ECOLOGY & EVOLUTION, 2007, 22 (01) :42-47