Arid
DOI10.1371/journal.pone.0013569
Weather, Not Climate, Defines Distributions of Vagile Bird Species
Reside, April E.1,2; VanDerWal, Jeremy J.2; Kutt, Alex S.1; Perkins, Genevieve C.1
通讯作者Reside, April E.
来源期刊PLOS ONE
ISSN1932-6203
出版年2010
卷号5期号:10
英文摘要

Background: Accurate predictions of species distributions are essential for climate change impact assessments. However the standard practice of using long-term climate averages to train species distribution models might mute important temporal patterns of species distribution. The benefit of using temporally explicit weather and distribution data has not been assessed. We hypothesized that short-term weather associated with the time a species was recorded should be superior to long-term climate measures for predicting distributions of mobile species.


Methodology: We tested our hypothesis by generating distribution models for 157 bird species found in Australian tropical savannas (ATS) using modelling algorithm Maxent. The variable weather of the ATS supports a bird assemblage with variable movement patterns and a high incidence of nomadism. We developed "weather" models by relating climatic variables (mean temperature, rainfall, rainfall seasonality and temperature seasonality) from the three month, six month and one year period preceding each bird record over a 58 year period (1950-2008). These weather models were compared against models built using long-term (30 year) averages of the same climatic variables.


Conclusions: Weather models consistently achieved higher model scores than climate models, particularly for wide-ranging, nomadic and desert species. Climate models predicted larger range areas for species, whereas weather models quantified fluctuations in habitat suitability across months, seasons and years. Models based on long-term climate averages overestimate availability of suitable habitat and species’ climatic tolerances, masking species potential vulnerability to climate change. Our results demonstrate that dynamic approaches to distribution modelling, such as incorporating organism-appropriate temporal scales, improves understanding of species distributions.


类型Article
语种英语
国家Australia
收录类别SCI-E
WOS记录号WOS:000283419100010
WOS关键词DISTRIBUTION MODELS ; COMMUNITY STRUCTURE ; BIOTIC INTERACTIONS ; IMPROVE PREDICTION ; NORTHERN-TERRITORY ; TEMPORAL VARIATION ; MOVEMENT PATTERNS ; ENVELOPE MODELS ; CHANGE IMPACTS ; RAIN-FORESTS
WOS类目Multidisciplinary Sciences
WOS研究方向Science & Technology - Other Topics
来源机构Commonwealth Scientific and Industrial Research Organisation
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/166065
作者单位1.Commonwealth Sci & Ind Res Org, Climate Adaptat Flagship & Ecosyst Sci, Townsville, Qld, Australia;
2.James Cook Univ, Sch Marine & Trop Biol, Ctr Trop Biodivers & Climate Change, Townsville, Qld, Australia
推荐引用方式
GB/T 7714
Reside, April E.,VanDerWal, Jeremy J.,Kutt, Alex S.,et al. Weather, Not Climate, Defines Distributions of Vagile Bird Species[J]. Commonwealth Scientific and Industrial Research Organisation,2010,5(10).
APA Reside, April E.,VanDerWal, Jeremy J.,Kutt, Alex S.,&Perkins, Genevieve C..(2010).Weather, Not Climate, Defines Distributions of Vagile Bird Species.PLOS ONE,5(10).
MLA Reside, April E.,et al."Weather, Not Climate, Defines Distributions of Vagile Bird Species".PLOS ONE 5.10(2010).
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