Potential distribution of a montane rodent (Cricetidae, Handleyomys chapmani) through time in Mexico: the importance of occurrence data

AbstractBaronia brevicornisSalvin (Lepidoptera: Papilionidae) is one of the most enigmatic butterflies in the world and possibly represents the most ancient lineage among the superfamily Papilionoidea. Its geographic distribution is remote from that of all its potential close relatives and many of its biological and ecological characteristics are unique among the suborder Rhopalocera. One of its particularities is that the occurrence plots of this species seem to be independent, each representing individual populations, despite the fact that the host plant:Acacia cochliacanthaHumboldt and Bonpland ex Willdenow (Fabaceae), is one of the most common Mexican Fabaceae species. Our results show that noB. brevicornispopulations occur if the host plant does not cover at least two-thirds of the locality. Even in the most favourable zones, the landscape occupancy of the butterfly does not exceed 2.5% of the available habitat even when its host plant covers 50% of the area. The average density of adults was 840 individuals/ha in favourable habitats, frequently on areas of around 3 ha, below of 1400 m. Using the BIOMOD2 package and the largest available set of abiotic conditions for Mexico implemented in the WorldClim database, we propose a revised potential distribution and discuss the results of our model with field occurrence data. Evolutionary and conservation issues are discussed in the light of our results.

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Global occurrence data improve potential distribution models for Aedes japonicus japonicus in non‐native regions

Pest Management Science ◽

10.1002/ps.5710 ◽

2020 ◽

Vol 76 (5) ◽

pp. 1814-1822

Author(s):

Sarah Cunze ◽

Judith Kochmann ◽

Sven Klimpel

Keyword(s):

Potential Distribution ◽

Distribution Models ◽

Aedes Japonicus ◽

Aedes Japonicus Japonicus ◽

Occurrence Data

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Predicting the potential distribution of Rhaphidophorinae (Orthoptera, Rhaphidophoridae) in China

Zootaxa ◽

10.11646/zootaxa.4683.1.6 ◽

2019 ◽

Vol 4683 (1) ◽

pp. 120-128

Author(s):

XUN BIAN ◽

FUMING SHI

Keyword(s):

Ecological Niche ◽

Potential Distribution ◽

Ecological Niche Model ◽

Climate Data ◽

Niche Model ◽

Species Discovery ◽

Occurrence Data ◽

Potential Map ◽

Geographical Barrier ◽

The Mean

The rhaphidophorid subfamily Rhaphidophorinae, distributed from South Asian to Australia, comprises 7 extant genus and 160 species. In China, the subfamily are poorly understood. Based on the occurrence data and climate data, ecological niche model can be used as a tool for species discovery. Herein we predict the potential distribution of Chinese Rhaphidophorinae using MAXENT under R environment. The mean temperature of coldest quarter plays an important role in the distribution of true cave cricket in China. Our potential map suggested the main concentrated area of the subfamily’s range is in Yunnan, while expanding to the east, there is an obviously geographical barrier in Guangxi. Considering the diversity of rhaphidophorids in China is not well known, we hope that the combining ecological niche model can serve as a guide to future survey expeditions in China.

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Predicting the potential distributions of Senecio vulgaris L. in China

10.7287/peerj.preprints.1612v1 ◽

2015 ◽

Cited By ~ 1

Author(s):

Dandan Cheng ◽

Lin Xu

Keyword(s):

Potential Distribution ◽

Western China ◽

Distribution Model ◽

Climate Variables ◽

Alien Plant ◽

Senecio Vulgaris ◽

Occurrence Data ◽

North Eastern ◽

Global Data ◽

Occurrence Records

Predicting potential distribution for alien plants by species distribution model (SDM, or Ecological Niche Model) using occurrence data and habitat environmental variables plays an important role in management of the invasive risk by an alien plant. Common groundsels (Senecio vulgaris, Asteracea), native in Eurasia and North Africa, has been a cosmopolitan weed in temperature and also listed as one of invasive plants in China. We predict the potential distribution of this species in the world and in China particularly in Maxent (maximum entropy) models by using global occurrence records of S. vulgaris and the associated climate variables. The occurrence data were collected from the online databases, Global Biodiversity Information Facility database (GBIF), Chinese Virtual Herbarium database (CVH), and also from field work in China. The climate variables were download from WorldClim (http://www.worldclim.org). The occurrence records showed that S. vulgaris is present in 16 provinces or regions in north – eastern, south – western, central and north China, and almost not present in south – eastern, north – western China. The mapping of S. vulgaris potential distribution is diagonally across China, including the north – eastern, south – western China, and the cool area between the two regions. Analysis of the contribution and importance of climatic factors in the prediction model indicated that S. vulgaris adapts to the climate in humid and cool area in China (annual mean temperature ranges 2.4 ~ 17.5 ℃, and annual precipitation ranges 550 ~ 1500 mm). It is suggested that special attention should be paid to the plain in NE China and Shandong Peninsula, Yungui Plateau, the cool mountain area around Sichuan basin, in western Hubei, southern Shaanxi, Shanxi and around Beijing in order to manage the invasion risk by S. vulgaris. The better performance of the model built by using occurrence data in China than that by using the global data in relation the predict outcome in China imply that it is might be better to use regional data than the global data when predict potential distribution for an alien plant with long invasive history in study area.

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Predicting the potential distributions of Senecio vulgaris L. in China

10.7287/peerj.preprints.1612 ◽

2015 ◽

Author(s):

Dandan Cheng ◽

Lin Xu

Keyword(s):

Potential Distribution ◽

Western China ◽

Distribution Model ◽

Climate Variables ◽

Alien Plant ◽

Senecio Vulgaris ◽

Occurrence Data ◽

North Eastern ◽

Global Data ◽

Occurrence Records

Predicting potential distribution for alien plants by species distribution model (SDM, or Ecological Niche Model) using occurrence data and habitat environmental variables plays an important role in management of the invasive risk by an alien plant. Common groundsels (Senecio vulgaris, Asteracea), native in Eurasia and North Africa, has been a cosmopolitan weed in temperature and also listed as one of invasive plants in China. We predict the potential distribution of this species in the world and in China particularly in Maxent (maximum entropy) models by using global occurrence records of S. vulgaris and the associated climate variables. The occurrence data were collected from the online databases, Global Biodiversity Information Facility database (GBIF), Chinese Virtual Herbarium database (CVH), and also from field work in China. The climate variables were download from WorldClim (http://www.worldclim.org). The occurrence records showed that S. vulgaris is present in 16 provinces or regions in north – eastern, south – western, central and north China, and almost not present in south – eastern, north – western China. The mapping of S. vulgaris potential distribution is diagonally across China, including the north – eastern, south – western China, and the cool area between the two regions. Analysis of the contribution and importance of climatic factors in the prediction model indicated that S. vulgaris adapts to the climate in humid and cool area in China (annual mean temperature ranges 2.4 ~ 17.5 ℃, and annual precipitation ranges 550 ~ 1500 mm). It is suggested that special attention should be paid to the plain in NE China and Shandong Peninsula, Yungui Plateau, the cool mountain area around Sichuan basin, in western Hubei, southern Shaanxi, Shanxi and around Beijing in order to manage the invasion risk by S. vulgaris. The better performance of the model built by using occurrence data in China than that by using the global data in relation the predict outcome in China imply that it is might be better to use regional data than the global data when predict potential distribution for an alien plant with long invasive history in study area.

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The effects of surface absorbed monolayer microdiffraction patterns

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100105461 ◽

1988 ◽

Vol 46 ◽

pp. 680-681

Author(s):

M. Pan ◽

J.M. Cowley

Keyword(s):

Surface Potential ◽

Electron Probe ◽

Potential Distribution ◽

Crystal Surface ◽

Normal Direction ◽

Surface Image ◽

Extended Surface ◽

Gas Molecules ◽

Surface Nature ◽

Electron Microdiffraction

Electron microdiffraction patterns, obtained when a small electron probe with diameter of 10-15 Å is directed to run parallel to and outside a flat crystal surface, are sensitive to the surface nature of the crystals. Dynamical diffraction calculations have shown that most of the experimental observations for a flat (100) face of a MgO crystal, such as the streaking of the central spot in the surface normal direction and (100)-type forbidden reflections etc., could be explained satisfactorily by assuming a modified image potential field outside the crystal surface. However the origin of this extended surface potential remains uncertain. A theoretical analysis by Howie et al suggests that the surface image potential should have a form different from above-mentioned image potential and also be smaller by several orders of magnitude. Nevertheless the surface potential distribution may in practice be modified in various ways, such as by the adsorption of a monolayer of gas molecules.

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