Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Measuring ecological niche overlap from occurrence and spatial environmental data

Olivier BroennimannDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, SwitzerlandMatthew C. FitzpatrickThe first three authors have contributed equally to this paperPeter B. PearmanSwiss Federal Research Institute WSL, 8903 Birmensdorf, SwitzerlandBlaise PetitpierreDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, SwitzerlandLoïc PellissierDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, SwitzerlandNigel G. YoccozDepartment of Arctic and Marine Biology, University of Tromsø, 9037 Tromsø, NorwayWilfried ThuillerLaboratoire d'Ecologie Alpine, University Joseph Fourier, 38041 Grenoble, FranceMarie‐Josée FortinDepartment of Ecology and Evolutionary Biology, University of Toronto, Toronto, Canada M5S 1A1Christophe F. RandinInstitute of Botany, University of Basel, 4056 Basel, SwitzerlandNiklaus E. ZimmermannSwiss Federal Research Institute WSL, 8903 Birmensdorf, SwitzerlandCatherine H. GrahamDepartment of Ecology and Evolution, SUNY at Stony Brook, NY 11794, USAAntoine GuisanDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
2011en
ABI

Аннотация

ABSTRACT Aim Concerns over how global change will influence species distributions, in conjunction with increased emphasis on understanding niche dynamics in evolutionary and community contexts, highlight the growing need for robust methods to quantify niche differences between or within taxa. We propose a statistical framework to describe and compare environmental niches from occurrence and spatial environmental data. Location Europe, North America and South America. Methods The framework applies kernel smoothers to densities of species occurrence in gridded environmental space to calculate metrics of niche overlap and test hypotheses regarding niche conservatism. We use this framework and simulated species with pre‐defined distributions and amounts of niche overlap to evaluate several ordination and species distribution modelling techniques for quantifying niche overlap. We illustrate the approach with data on two well‐studied invasive species. Results We show that niche overlap can be accurately detected with the framework when variables driving the distributions are known. The method is robust to known and previously undocumented biases related to the dependence of species occurrences on the frequency of environmental conditions that occur across geographical space. The use of a kernel smoother makes the process of moving from geographical space to multivariate environmental space independent of both sampling effort and arbitrary choice of resolution in environmental space. However, the use of ordination and species distribution model techniques for selecting, combining and weighting variables on which niche overlap is calculated provide contrasting results. Main conclusions The framework meets the increasing need for robust methods to quantify niche differences. It is appropriate for studying niche differences between species, subspecies or intra‐specific lineages that differ in their geographical distributions. Alternatively, it can be used to measure the degree to which the environmental niche of a species or intra‐specific lineage has changed over time.

Перевод пока недоступен

Идентификаторы

Цитирования и источники

Цитирований: 3Использованных источников: 0