Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.foreco.2017.06.044 |
Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning | |
Bosso, Luciano1; Luchi, Nicola2; Maresi, Giorgio3; Cristinzio, Gennaro1; Smeraldo, Sonia1; Russo, Danilo1,4 | |
2017-09-15 | |
发表期刊 | FOREST ECOLOGY AND MANAGEMENT |
ISSN | 0378-1127 |
EISSN | 1872-7042 |
出版年 | 2017 |
卷号 | 400 |
文章类型 | Article |
语种 | 英语 |
国家 | Italy; England |
英文摘要 | Species distribution models (SDMs) provide realistic scenarios to explain the influence of bioclimatic variables on plant pathogen distribution. Diplodia sapinea is most harmful to plantations of both exotic and native pine species in Italy, causing economic consequences expecially to edible seed production. In this study, we developed maximum entropy models for D. sapinea in Italy to reach the following goals: (i) to carry out the pathogen's first geographical distribution analysis in Italy and determine which eco-geographical variables (EGVs) may influence its outbreaks; (ii) to detect the effect of climate change on the potential occurrence of disease outbreaks by 2050 and 2070. We used Maxent ver. 3.4.0 to develop SDMs. We used six global climate models (BCC-CSM1-1, CCSM4, GISS-E2-R, MIR005, HadGEM2-ES and MPI-ESM-LR) for two representative concentration pathways (4.5 and 8.5) and two time projections (2050 and 2070) to detect future climate projections of D. sapinea. The most important EGVs influencing outbreaks were land cover, altitude, mean temperature of driest and wettest quarter, precipitation of wettest quarter, precipitation seasonality and minimum temperature of coldest month. The distribution of D. sapinea mostly expanded in central and southern Italy and shifted in altitude upwards on average by ca. 93m a.s.l. Moreover the fungus expanded the range where disease outbreaks may be recorded in response to an increase in the mean temperature of wettest and driest quarter by ca. 1.9 degrees C and 5.8 degrees C, respectively in all climate change scenarios. Precipitation of wettest quarter did not differ between current and any of future models. Under different climate change scenarios D. sapinea's disease outbreaks will be likely to affect larger areas of pine forests in the country, probably causing heavy effects on the dynamics and evolution of these stands or perhaps constraining their survival. (C) 2017 Elsevier B.V. All rights reserved. |
英文关键词 | Climate change Forest ecology Fungus GIS Maxent Pine |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000406732100063 |
WOS关键词 | CLIMATE-CHANGE ; SPHAEROPSIS-SAPINEA ; POTENTIAL DISTRIBUTION ; GEOGRAPHIC-DISTRIBUTION ; MEDITERRANEAN REGION ; SPATIAL-DISTRIBUTION ; XYLELLA-FASTIDIOSA ; WATER-STRESS ; PINE SHOOTS ; CONSERVATION |
WOS类目 | Forestry |
WOS研究方向 | Forestry |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/22868 |
专题 | 气候变化 |
作者单位 | 1.Univ Napoli Federico II, Dipartimento Agr, Wildlife Res Unit, Via Univ 100, I-80055 Naples, Italy; 2.CNR, Natl Res Council, IPSP, Inst Sustainable Plant Protect, Via Madonna Piano 10, I-50019 Florence, Italy; 3.Fdn Edmund Mach, Technol Transfer Ctr, Via E Mach 1, I-38010 San Michele All Adige, Trento, Italy; 4.Univ Bristol, Sch Biol Sci, 24 Tyndall Ave, Bristol BS8 1TQ, Avon, England |
推荐引用方式 GB/T 7714 | Bosso, Luciano,Luchi, Nicola,Maresi, Giorgio,et al. Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning[J]. FOREST ECOLOGY AND MANAGEMENT,2017,400. |
APA | Bosso, Luciano,Luchi, Nicola,Maresi, Giorgio,Cristinzio, Gennaro,Smeraldo, Sonia,&Russo, Danilo.(2017).Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning.FOREST ECOLOGY AND MANAGEMENT,400. |
MLA | Bosso, Luciano,et al."Predicting current and future disease outbreaks of Diplodia sapinea shoot blight in Italy: species distribution models as a tool for forest management planning".FOREST ECOLOGY AND MANAGEMENT 400(2017). |
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