Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1371/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
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ISSN | 1932-6203 |
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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