检索结果-南通市图书馆

Journal of Oceanology and Limnology 2022年第4期40卷 1556-1565页

作者： Xingyu LIU Xiaolu HAN Zhiqiang HAN Fishery College Zhejiang Ocean UniversityZhoushan 316002China

Over the last decades,the species distribution model(SDM)has become an essential tool for studying the potential eff ects of climate change on species *** this study,an ensemble SDM was developed to predict the changes in species distribution of swimming crab Portunus trituberculatus across diff erent seasons in the future(2050s and 2100s)under the climate scenarios of Representative Concentration Pathway(RCP)4.5 and *** of the ensemble SDM indicate that the distribution of this species will move northward and exhibit evident seasonal *** the four seasons,the suitable habitat for this species will be signifi cantly reduced in summer,with loss rates ranging from 45.23%(RCP4.5)to 88.26%(RCP.8.5)by the *** loss of habitat will mostly occur in the East China Sea and the southern part of the Yellow Sea,while a slight increase in habitat will occur in the northern part of the Bohai *** fi ndings provide an information forecast for this species in the *** forecast will be helpful in improving fi shery management under climate change.

关键词： Portunus trituberculatus climate change species distribution model suitable habitat

Incorporating physiological knowledge into correlative species distribution models minimizes bias introduced by the choice of calibration area

在线全文

学校读者我要写书评

暂无评论

Marine Life Science & Technology 2024年第2期6卷 349-362页

作者： Zhixin Zhang Jinxin Zhou Jorge García Molinos Stefano Mammola Ákos Bede‑Fazekas Xiao Feng Daisuke Kitazawa Jorge Assis Tianlong Qiu Qiang Lin CAS Key Laboratory of Tropical Marine Bio-resources and Ecology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Guangdong Provincial Key Laboratory of Applied Marine Biology South China Sea Institute of OceanologyChinese Academy of SciencesGuangzhou 510301China Marine Biodiversity and Ecological Evolution Research Center South China Sea Institute of OceanologyGuangzhou 510301China Global Ocean and Climate Research Center South China Sea Institute of OceanologyGuangzhou 510301China Institute of Industrial Science The University of Tokyo5-1-5 KashiwanohaKashiwaChiba 277-8574Japan Arctic Research Center Hokkaido UniversitySapporoHokkaido 001-0021Japan Finnish Museum of Natural History University of HelsinkiHelsinkiFinland Molecular Ecology Group(MEG) Water Research Institute(IRSA)National Research Council of Italy(CNR)28922 Verbania PallanzaItaly National Biodiversity Future Center(NBFC) PalermoItaly Institute of Ecology and Botany HUN-REN Centre for Ecological ResearchVácrátótHungary Department of Environmental and Landscape Geography ELTE Eötvös Loránd UniversityBudapestHungary Department of Biology University of North CarolinaChapel HillNC 27599USA Centre of Marine Sciences University of AlgarveCampus de GambelasFaroPortugal CAS Key Laboratory of Experimental Marine Biology Institute of OceanologyChinese Academy of SciencesQingdao 266071China University of Chinese Academy of Sciences Beijing 100049China

Correlative species distribution models(SDMs)are important tools to estimate species’geographic distribution across space and time,but their reliability heavily relies on the availability and quality of occurrence *** can be biased when occurrences do not fully represent the environmental requirement of a *** tested to what extent species’physiological knowledge might influence SDM *** on the Japanese sea cucumber Apostichopus japonicus within the coastal ocean of East Asia,we compiled a comprehensive dataset of occurrence *** then explored the importance of incorporating physiological knowledge into SDMs by calibrating two types of correlative SDMs:a naïve model that solely depends on environmental correlates,and a physiologically informed model that further incorporates physiological information as *** further tested the models’sensitivity to calibration area choices by fitting them with different buffered areas around known *** with naïve models,the physiologically informed models successfully captured the negative influence of high temperature on *** and were less sensitive to the choice of calibration *** naïve models resulted in more optimistic prediction of the changes of potential distributions under climate change(i.e.,larger range expansion and less contraction)than the physiologically informed *** findings highlight benefits from incorporating physiological information into correlative SDMs,namely mitigating the uncertainties associated with the choice of calibration *** these promising features,we encourage future SDM studies to consider species physi-ological information where available.

关键词： Bayesian approach Climate change Habitat suitability Physiological knowledge species distribution model

Avian succession along ecological gradients： Insight from species-poor and species-rich communities of Sylvia warblers

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Current Zoology 2011年第3期57卷 307-317页

作者： Alban GUILLAUMET Roger PRODON EPHE CEFE-CNRS UMR 5175 1919 route de Mende 34293 Montpellier cedex 5 France Department of Wildlife Fisheries & Aquaculture Mail Stop 9690 Mississippi State University Mississippi MS 39762 USA

The mechanisms responsible for species replacement during ecological successions is a long-standing and open debate. In this study, we examined the distribution of the Sardinian warbler Sylvia melanocephala along two grassland-to-forest gradients, one in a high-diversity area （Albera-Aspres chain in Catalonia： eight Sylvia warbler species） and one in a low-diversity area （Mount Hymittos in Greece： four species）. In Catalonia, distribution models suggested that the apparent exclusion of S. melanocephala from the open and forest ends of the gradient may be explained entirely by the preference of S. melanocephala for mid-successional shrublands. However, a joint analysis of both data sets revealed that： 1） S. melanocephala was more evenly dis- tributed along the vegetation gradient in Greece, suggesting ecological release in the low-diversity area; and 2） a distribution model assuming interspecific competition （based on the distribution of Sylvia species showing a negative co-occurrence pattern with S. melanocephala） had a significantly higher predictive ability than a distribution model based on habitat variables alone. Our study supports the view that species turnover along ecological gradients generally results from a combination of intrinsic preferences and interspecific competition [Current Zoology 57 （3）： 307-317, 2011].

关键词： Avian succession Cross-validation Diffuse competition Ecological release GLM Habitat selection Nichewidening species distribution model

Mapping the potential distribution suitability of 16 tree species under climate change in northeastern China using Maxent modelling

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Forestry Research 2022年第6期33卷 1739-1750页

作者： Dan Liu Xiangdong Lei Wenqiang Gao Hong Guo Yangsheng Xie Liyong Fu Yuancai Lei Yutang Li Zhuoli Zhang Shouzheng Tang Key Laboratory of Forest Management and Growth modelling National Forestry and Grassland AdministrationInstitute of Forest Resource Information TechniquesChinese Academy of ForestryBeijing 100091People’s Republic of China Academy of Forest Inventory and Planning of Jilin Province Changchun 130022People’s Republic of China

Knowledge on the potential suitability of tree species to the site is very important for forest management *** forest distribution provides a good reference for afforestation and forest *** this study,we developed species distribution model(SDM)for 16 major tree species with 2,825 permanent sample plots with natural origin from Chinese National Forest Inventory data collected in Jilin Province using the Maxent *** types of environmental factors including bioclimate,soil and topography with a total of 33 variables were tested as the *** values of area under the curve(AUC,one of the receiver operating characteristics of the Maxent model)in the training and test datasets were between 0.784 and 0.968,indicating that the prediction results were quite *** environmental factors affecting the distribution of species were ranked in terms of their importance to the species ***,the climatic factors had the greatest contribution,which included mean diurnal range,annual mean temperature,temperature annual range,and *** the main environmental factors varied with tree *** suitability maps under current(1950-2000)and future climate scenarios(CCSM4-RCP 2.6 and RCP 6.0 during 2050)were produced for 16 major tree species in Jilin Province using the model *** predicted current and future ranges of habitat suitability of the 16 tree species are likely to be positively and negatively affected by future *** tree species were found to benefit from future climate including B etula costata,Fraxinus mandshurica,Juglans mandshurica,Phellodendron amurense,Populus ussuriensis,Quercus mongolica and Ulmus pumila;five tree species will experience decline in their suitable habitat including ***,Tilia mongolica,Picea asperata,Pinus sylvestris,Pinus koraiensis;and four(Salix koreensis,Abies fabri,Pinus densiflora and Larix olgensis)showed the inconsistency under RCP 2.6 and RC

关键词： species distribution model National forest inventory data Natural forest Climate change Site suitability mapping Maxent modelling

The LGM refugia of deciduous oak and distribution development since the LGM in China

在线全文

学校读者我要写书评

暂无评论

Science China Earth Sciences 2023年第1期66卷 80-91页

作者： Qian HAO Hongyan LIU Ying CHENG Zhaoliang SONG Institute of Surface-Earth System Science School of Earth System ScienceTianjin UniversityTianjin 300072China College of Urban and Environmental Sciences Peking UniversityBeijing 100871China School of Geography and Tourism Shaanxi Normal UniversityXi’an 710119China

The distribution development of oak has significant effects on ecosystems and ***-term forest distribution studies can help to better understand the vegetation dynamics under climate change or human activities in the *** this study,we integrated different methods(i.e.,palaeoecology,phylogeography,and species distribution models)to investigate the likely locations of glacial refugia and the postglacial development of the main deciduous oak species(i.e.,Quercus variabilis,***,***,***,*** and ***).The results indicated that mountains such as the Changbai,Qinling,and Dabie Mountains acted as the refugia in northern and central China during the Last Glacial Maximum(LGM).The present Quercus in northern China could be the result of local dispersal during the postglacial period rather than only that of long-distance migration from south to *** was the main influencing factor for oak migration,while human activities did not show much influence on this widespread *** topography acted as a buffer and made the mountains act as refugia under a deteriorated *** with other main tree genera(e.g.,Pinus and Betula),the refugia locations and migration routes of deciduous oak species were different because of their physiological *** individual migration dynamics of these three genera need to be considered when modelling their dynamics.

关键词： Quercus Pollen analysis species distribution model Chloroplast DNA Precipitation

modeling effects of abiotic factors on the abundances of eight woody species in the Harana forest using artificial networks,random forest,and generalized linear models

在线全文

学校读者我要写书评

暂无评论

Ecological Processes 2023年第1期12卷 151-164页

作者： Girma Ayele Bedane Gudina Legese Feyisa Feyera Senbeta Wakjira Center for Environmental Science College of Computational and Natural ScienceAddis Ababa UniversityP.O.Box 1176Addis AbabaEthiopia Centre for Environment and Development College of Development StudiesAddis Ababa UniversityAddis AbabaEthiopia

Background Abiotic factors exert different impacts on the abundance of individual tree species in the forest but little has been known about the impact of abiotic factors on the individual plant,particularly,in a tropical *** study identified the impact of abiotic factors on the abundances of Podocarpus falcatus,Croton macrostachyus,Celtis africana,Syzygium guineense,Olea capensis,Diospyros abyssinica,Feliucium decipenses,and Coffea arabica.A systematic sample design was used in the Harana forest,where 1122 plots were established to collect the abundance of *** forest(RF),artificial neural network(ANN),and generalized linear model(GLM)models were used to examine the impacts of topographic,climatic,and edaphic factors on the log abundances of woody *** RF model was used to predict the spatial distribution maps of the log abundances of each *** The RF model achieved a better prediction accuracy with R^(2)=71%and a mean squared error(MSE)of 0.28 for Feliucium *** RF model differentiated elevation,temperature,precipitation,clay,and potassium were the top variables that influenced the abundance of *** ANN model showed that elevation induced a nega-tive impact on the log abundances of all woody *** GLM model reaffirmed the negative impact of elevation on all woody species except the log abundances of Syzygium guineense and Olea *** ANN model indicated that soil organic matter(SOM)could positively affect the log abundances of all woody *** GLM showed a similar positive impact of SOM,except for a negative impact on the log abundance of Celtis africana at pdistributions of the log abundances of Coffee arabica,Filicium decipenses,and Celtis africana were confined to the eastern parts,while the log abundance of Olea capensis was limited to the western *** The impacts of abiotic factors on the abundance of woody species may vary with *** ecological underst

关键词： species distribution model Random forest Artificial neural network Generalized linear model species abundance Woody species Environmental variable

同方期刊数据库

Historical and current climates affect the spatial distribution of herbivorous tree insects in China

在线全文

学校读者我要写书评

暂无评论

Journal of Forestry Research 2023年第5期34卷 1307-1321页

作者： Feixue Zhang Chunjing Wang Jizhong Wan State Key Laboratory of Plateau Ecology and Agriculture Qinghai UniversityXining 810016People’s Republic of China College of Agriculture and Animal Husbandry Qinghai UniversityXining 810016People’s Republic of China

Historical and current climate impacts reshape the evolutionary trajectory and ecological dynamics of entire vegetative communities,which can drive insect species *** the spatial distribution of insects can enhance forest management *** effects of historical and current climates in the spatial distribution of herbivorous tree insects in China were explored.A species distribution model simulated insect spatial distribution based on 596 species and the distribution probability and richness of these species were assessed in forest *** explanatory power of the historical climate was stronger than that of the current climate,particularly historical annual precipitation and annual mean temperatures,for the distribution of herbivorous *** both historical and current climatic conditions,herbivorous tree insects were and are mainly distributed in the North China Plain and the middle and lower reaches of the Yangtze River Plain,namely in the Huang He Plain mixed forests,Changjiang Plain evergreen forests,and Sichuan Basin evergreen broadleaf *** Yunnan-Guizhou Plateau and northeast China are regions with large impact differences between historical and current *** findings of this study provide valuable insights into herbivorous insect responses to sustained climate change and may contribute to long-term biodiversity conservation activities.

关键词： Bioclimatie variables Ecoregions Last glacial maximum Spatial distribution species distribution model Herbivorous tree insects

modeling the influence of livestock grazing pressure on grassland bird distributions

在线全文

学校读者我要写书评

暂无评论

Ecological Processes 2020年第1期9卷 488-498页

作者： Rachel R.Fern Michael L.Morrison William E.Grant Hsiaohsuan Wang Tyler A.Campbell Department of Wildlife and Fisheries Sciences Texas A&M UniversityWFES Building2258 TAMU534 John Kimbrough BlvdCollege StationTX 77843-2258USA East Foundation San AntonioTX 78216USA

Background:The influence of vegetative changes due to livestock grazing on grassland birds is well-recognized because these birds are heavily influenced by vegetative ***,species distribution models(SDMs)use direct variables,resources that the animal consumes or requires to persist in an area(e.g.,water)to define and project a species’niche and *** variables,which are features the animal does not consume or require for persistence but with which it may still interact,are often *** objective was to improve the traditional SDMs projecting the distribution of three summer resident South Texas grassland birds(Northern Bobwhite Colinus virginianus,Eastern Meadowlark Sturnella magna,and Cassin’s Sparrow Peucaea cassinii)by incorporating livestock grazing pressure,an indirect variable,into five SDM algorithms:BioClim,generalized linear model,MaxEnt,boosted regression tree,and random *** collected data from the Coloraditas Grazing Research and Demonstration Area(CGRDA),a 7684-ha area located on the San Antonio Viejo Ranch(SAV)in South *** used several relevant environmental characteristics to build SDMs and compared model performance(AUC and TSS)with and without grazing pressure as an indirect ***:Machine learning models(MaxEnt and random forest)had the highest predictive performance for all species,with random forest being the most consistent for each *** and generalized linear model remained constant or only marginally improved with the addition of the grazing ***:Our findings suggest that model selection for SDM should include consideration of species prevalence,and machine-learning algorithms should be preferred when the target species is of low or unknown ***,livestock grazing has measurable influence on grassland bird species’distributions and should be included in SDMs as an indirect variable in addition to associated vegetative changes.

关键词： Birds Grassland Grazing Livestock species distribution model Texas

Choosing among correlative, mechanistic, and hybrid models of species’ niche and distribution

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Integrative Zoology 2023年第1期18卷 93-109页

作者： Luara TOURINHO Mariana M.VALE Graduate Program in Ecology Universidade Federal do Rio de JaneiroIlha do FundãoRio de JaneiroBrazil Ecology Department Universidade Federal do Rio de JaneiroIlha do FundãoRio de JaneiroBrazil

Different models are available to estimate species’niche and *** and correlative models have different underlying conceptual bases,thus generating different estimates of a species’niche and geographic *** models,which combining correlative and mechanistic approaches,are considered a promising strategy;however,no synthesis in the literature assessed their applicability for terrestrial vertebrates to allow best-choice model considering their strengths and ***,we provide a systematic review of studies that compared or integrated correlative and mechanistic models to estimate species’niche for terrestrial vertebrates under climate *** goal was to understand their conceptual,methodological,and performance differences,and the appli-cability of each *** studies we reviewed directly compared mechanistic and correlative predictions in terms of accuracy or estimated suitable area,however,without any quantitative analysis to support ***,many studies suggest that instead of comparing approaches,mechanistic and correlative methods should be integrated(hybrid models).However,we stress that the best approach is highly ***-deed,the quality and effectiveness of the prediction depends on the study’s objective,methodological design,and which type of species’niche and geographic distribution estimated are more appropriate to answer the study’s issue.

关键词： climate change ecological niche model integrative model species distribution model vertebrates

Potential global distribution of the guava root-knot nematode Meloidogyne enterolobii under different climate change scenarios using MaxEnt ecological niche modeling

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Integrative Agriculture 2023年第7期22卷 2138-2150页

作者： PAN Song PENG De-liang LI Ying-mei CHEN Zhi-jie ZHAI Ying-yan LIU Chen HONG Bo Shaanxi Key Laboratory of Plant Nematology Bio-Agriculture Institute of ShaanxiShaanxi Academy of SciencesXi’an 710043P.R.China State Key Laboratory for Biology of Plant Diseases and Insect Pests Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijing 100193P.R.China

In recent years,Meloidogyne enterolobii has emerged as a major parasitic nematode infesting many plants in tropical or subtropical ***,the regions of potential distribution and the main contributing environmental variables for this nematode are *** the current climate scenario,we predicted the potential geographic distributions of *** worldwide and in China using a Maximum Entropy(MaxEnt)model with the occurrence data of this ***,the potential distributions of *** were projected under three future climate scenarios(BCC-CSM2-MR,CanESM5 and CNRM-CM6-1)for the periods 2050s and *** in the potential distribution were also predicted under different climate *** results showed that highly suitable regions for *** were concentrated in Africa,South America,Asia,and North America between latitudes 30°S to 30°***16(precipitation of the wettest quarter),bio10(mean temperature of the warmest quarter),and bio11(mean temperature of the coldest quarter)were the variables contributing most in predicting potential distributions of *** addition,the potential suitable areas for *** will shift toward higher latitudes under future climate *** study provides a theoretical basis for controlling and managing this nematode.

关键词： Meloidogyne enterolobii species distribution model MaxEnt climate change future climate scenarios centroid change