scholarly journals The Potential Global Distribution of the White Peach Scale Pseudaulacaspis pentagona (Targioni Tozzetti) under Climate Change

Forests ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 192
Author(s):  
Yunyun Lu ◽  
Qing Zhao ◽  
Lifang Cheng ◽  
Ling Zhao ◽  
Hufang Zhang ◽  
...  
Keyword(s):  
Potential Distribution ◽  
Climate Scenario ◽  
Suitable Habitat ◽  
Distribution Map ◽  
Water Transportation ◽  
Current Climate ◽  
Climatic Scenarios ◽  
Pseudaulacaspis Pentagona ◽  
White Peach Scale ◽  
Suitable Area

The white peach scale Pseudaulacaspis pentagona (Hemiptera: Diaspididae) is a pest that causes significant damage to more than 221 genera of host plants in more than 112 countries. P. pentagona primarily feeds on mulberry, peach, and tea, and this leads to the loosening of the epidermis of trees, which damages nutrient and water transportation in the branches, leading to branch death. P. pentagona is native to China and Japan, and has become an invasive species all over the world. However, the potential distribution of P. pentagona remains unclear. In this study, a potential distribution map of P. pentagona was developed using current and future climate information using MaxEnt. The model indicates that Asia, Europe, South America and North America are a highly suitable habitat range for this species. The MaxEnt models for the potential distribution of P. pentagona for the 2050s and 2070s suggest that in the case of no significant increase or even decrease in the highly suitable area, the suitable area increased significantly on any future climatic scenarios. The predicted area gain in the suitable habitat is 2.82 × 107 km2, including more of Asia, such as China, Japan, and Mongolia, and also including India, Vietnam, Romania, Ukraine, Poland, Hungary, Austria, The Czech Republic, Italy, and Germany in Europe, which shows an increase of 24.5% over the current habitat on RCP8.5 emission scenarios for the 2070s. With the warming of the climate, significant expansions are predicted in the suitable area, especially in Europe and East Asia. Under RCP8.5 for the 2050s, the model-predicted that the area of suitable habitat in China and the Korean Peninsula gains an increase of 18.8% over the current suitable habitat area. Under other climate scenarios, RCP8.5-2070s, the suitable areas were the largest, compared to projection for the current climate scenario (ca. 24.1% increase) which increased to 7.89 × 106 km2. In Europe, under RCP8.5 for the 2070s, the highly suitable areas were the largest, compared to the projection for the current climate scenario (ca. 46.2% increase), which increased to 8.64 × 105 km2, the area of suitable habitat suitability increased to 4.99 × 106 km2 (29.2% increase of the current condition). Potential increases or decreases in distribution ranges were modeled under future climatic scenarios. This study suggests that the most important factor that influenced current distribution of this pest was temperature, and BIO3 (isothermality) was the most important factor that contributed to 48.6% of the potential distribution map. Given the rapid spread of P. pentagona and the serious risk this species poses to local ecosystems, warning modelling and practical strategies to prevent the establishment and expansion of this species should be sought. This distribution map will help governments to identify areas that are suitable for current and future infestations, and to optimize pest management strategies.

scholarly journals Predicting the Potential Distribution of Apple Canker Pathogen (Valsa mali) in China under Climate Change

Forests ◽  
2020 ◽  
Vol 11 (11) ◽  
pp. 1126
Author(s):  
Wei Xu ◽  
Hongyun Sun ◽  
Jingwei Jin ◽  
Jimin Cheng
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Large Scale ◽  
Climate Scenario ◽  
Suitable Habitat ◽  
Soil Factors ◽  
Entropy Model ◽  
Topographic Factors ◽  
Valsa Canker ◽  
Valsa Mali

Apple valsa canker (AVC), caused by Valsa mali, is a serious wood disease of apple trees. The pathogen decays the barks and branches of trees and ruins entire orchards under severe conditions. However, studies have rarely focused on the suitable habitat of the pathogen, especially on a relatively large scale. In this study, we applied the maximum entropy model (MaxEnt 3.4.1, Princeton, NJ, USA) to predict the distribution of V. mali using climate factors, topographic factors, and soil factors under current and future climate scenarios. We measured the area of suitable habitat, change ratio of the suitable habitat area, increase and decrease maps under climate change, direction and distance of range shifts from the present to the end of the 21st century, and the contribution of environmental variables. The results showed that the area of suitable habitat is currently 183.46 × 104 km2 in China, among which 27.54% is moderately suitable habitat (MSH) and 13.13% is highly suitable habitat (HSH). Compared with current distribution, the area of MSH and HSH increases in future and the change ratio are positive. The Shared Socioeconomic Pathways (SSPs) 3–70 is considered the optimum climate scenario for V. mali. The suitability of V. mali increased mainly in Northwest, North, and Northeast China. V. mali will shift to the northwest with climate change. The shift distance optimistically increased from the SSP1–26 to the SSP5–85, with the biggest shift distance of 758.44 km in the 2090s under the SSP5–85 scenario. Minimum temperature of the coldest month (bio6) was the most critical climate factor affecting the distribution of the pathogen, and topographic factors played a more important role than soil factors. This study demonstrates that the potential distribution of V. mali is vitally affected by climate change and provides a method for large–scale research on the distribution of pathogens.

Pseudaulacaspis pentagona. [Distribution map].

1955 ◽  
Author(s):  
Keyword(s):  
West Indies ◽  
Pacific Islands ◽  
Fruit Trees ◽  
Mariana Islands ◽  
Distribution Map ◽  
Caroline Islands ◽  
New Hebrides ◽  
Pseudaulacaspis Pentagona ◽  
Southern Rhodesia ◽  
White Peach Scale

Abstract A new distribution map is provided for Pseudaulacaspis pentagona (Targ.) (White Peach Scale). Hosts: Mulberry, various fruit trees, notably peach and apricot; polyphagous. Information is given on the geographical distribution in EUROPE (excl. USSR), France, Greece, Italy, Malta, Switzerland, Yugoslavia, ASIA (excl. USSR), Ceylon, China, Formosa, Hong Kong, India, Indo-China, Indonesia, Israel, Japan, Korea, Malaya, Syria, Turkey, USSR, AFRICA, Egypt, Madagascar, Madeira, Mauritius, Nyasaland, Réunion, San, Thomé, Seychelles, Southern Rhodesia, Tanganyika, Union of South Africa, Zanzibar, AUSTRALASIA and PACIFIC ISLANDS, Australia, Caroline Islands, Fiji, Mariana Islands, New Hebrides, NORTH AMERICA, U.S.A., CENTRAL AMERICA and WEST INDIES, Costa Rica, Panama, West Indies, SOUTH AMERICA, Argentine, Bolivia, Brazil, Peru, Uruguay, Venezuela.

scholarly journals Impact of Climate Change on Potential Distribution of Chinese White Pine Beetle Dendroctonus armandi in China

Forests ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 544
Author(s):  
Hang Ning ◽  
Ming Tang ◽  
Hui Chen
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Greenhouse Gas Emission ◽  
Central China ◽  
Qinling Mountains ◽  
Climate Scenarios ◽  
Impact Of Climate Change ◽  
Precipitation Seasonality ◽  
Suitable Area ◽  
The Impact

Dendroctonus armandi (Coleoptera: Curculionidae: Scolytidae) is a bark beetle native to China and is the most destructive forest pest in the Pinus armandii woodlands of central China. Due to ongoing climate warming, D. armandi outbreaks have become more frequent and severe. Here, we used Maxent to model its current and future potential distribution in China. Minimum temperature of the coldest month and precipitation seasonality are the two major factors constraining the current distribution of D. armandi. Currently, the suitable area of D. armandi falls within the Qinling Mountains and Daba Mountains. The total suitable area is 15.83 × 104 km2. Under future climate scenarios, the total suitable area is projected to increase slightly, while remaining within the Qinling Mountains and Daba Mountains. Among the climate scenarios, the distribution expanded the most under the maximum greenhouse gas emission scenario (representative concentration pathway (RCP) 8.5). Under all assumptions, the highly suitable area is expected to increase over time; the increase will occur in southern Shaanxi, northwest Hubei, and northeast Sichuan Provinces. By the 2050s, the highly suitable area is projected to increase by 0.82 × 104 km2. By the 2050s, the suitable climatic niche for D. armandi will increase along the Qinling Mountains and Daba Mountains, posing a major challenge for forest managers. Our findings provide information that can be used to monitor D. armandi populations, host health, and the impact of climate change, shedding light on the effectiveness of management responses.

scholarly journals Current and future suitable habitat areas for Nasuella olivacea (Gray, 1865) in Colombia and Ecuador and analysis of its distribution across different land uses

2020 ◽  
Vol 8 ◽  
Author(s):  
Pablo Medrano-Vizcaíno ◽  
Patricia Gutiérrez-Salazar
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Wildlife Conservation ◽  
Distribution Patterns ◽  
Climatic Conditions ◽  
Future Climate ◽  
Future Climate Change ◽  
Suitable Habitat ◽  
Climate Change Scenarios ◽  
Ecological Niche Models

Nasuella olivacea is an endemic mammal from the Andes of Ecuador and Colombia. Due to its rarity, aspects about its natural history, ecology and distribution patterns are not well known, therefore, research is needed to generate knowledge about this carnivore and a first step is studying suitable habitat areas. We performed Ecological Niche Models and applied future climate change scenarios (2.6 and 8.5 RCP) to determine the potential distribution of this mammal in Colombia and Ecuador, with current and future climate change conditions; furthermore, we analysed its distribution along several land covers. We found that N. olivacea is likely to be found in areas where no records have been reported previously; likewise, climate change conditions would increase suitable distribution areas. Concerning land cover, 73.4% of N. olivacea potential distribution was located outside Protected Areas (PA), 46.1% in Forests and 40.3% in Agricultural Lands. These findings highlight the need to further research understudied species, furthering our understanding about distribution trends and responses to changing climatic conditions, as well as informig future PA designing. These are essential tools for supporting wildlife conservation plans, being applicable for rare species whose biology and ecology remain unknown.

Pseudaulacaspis pentagona. [Distribution map].

1996 ◽  
Author(s):  
Keyword(s):  
South Carolina ◽  
Pacific Islands ◽  
New Caledonia ◽  
Solomon Islands ◽  
Uttar Pradesh ◽  
Fruit Trees ◽  
Ryukyu Islands ◽  
Mariana Islands ◽  
Distribution Map ◽  
Pseudaulacaspis Pentagona

Abstract A new distribution map is provided for Pseudaulacaspis pentagona (Targioni Tozzetti) Homoptera: Coccoidea, Diaspididae (white peach scale). Attacks peach, apricot, kiwi, mulberry, various fruit trees and ornamentals. Information is given on the geographical distribution in Europe, Bulgaria, France, Germany, Greece, Hungary, Italy, Malta, Netherlands, Spain, Switzerland, Turkey, Yugoslavia, CIS, Azerbaijan, Georgia, Ukraine, Russia, Transcaucasia, Africa, Canary Islands, Cape Verde islands, Egypt, Ghana, Madagascar, Madeira, Malawi, Mauritius, Reunion, St. Helena, Sao Tomé & Principé, Seychelles, South Africa, Tanzania, Zimbabwe, Asia, Brunei, China, Anhui, Fujian, Gansu, Guangdong, Guangxi, Hebei, Henan, Hubei, Hunan, Jiangsu, Jiangxi, Liaoning, Nei menggu, Ningxia, Shandong, Shanxi, Shaanxi, Shanghai, Sichuan, Yunnan, Zhejiang, Hong Kong, India, Assam, Himachal Pradesh, Jammu & Kashmir, Manipur, Punjab, Uttar Pradesh, West Bengal, Indonesia, Java, Iran, Iraq, Israel, Japan, Ryukyu Islands, Korea, Malaysia, Sabah, Maldives, Nepal, Ogasawara-shoto, Philippines, Sikkim, Sri Lanka, Syria, Taiwan, Vietnam, Australasia & Pacific Islands, Australia, New South Wales, Queensland, Caroline Islands, Fiji, Guam, Irian Jaya, Mariana Islands, New Caledonia, New Zealand, Norfolk Island, Papua New Guinea, Western Samoa, Solomon Islands, Tonga, vanuatu, Wallis Island, North America, Canada, Ontario, USA, Alabama, District of Columbia, Floria, Georgia, Louisiana, Maryland, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, Texas, Virginia, Central America and Caribbean, Antigua, Bahamas, Barbados, Bermuda, Costa Rica, Cuba, Curaçao, Dominica, Dominincan Republic, Guadeloupe, Haiti, Honduras, Jamaica, Nevis, Panama, Puerto Rico, St. Vincent, Trinidad, Virgin Islands, South America, Argentina, Bolivia, Brazil, Amazonas, Bahia, Minas Gerais, Para, Parana, Pernambuco, Rio de Janeiro, Rio Grande do Sul, Santa Catarina, Sao Paulo, Colombia, Peru, Surinam, Uraguay, Venezuela.

Pseudococcus comstocki. [Distribution map].

1989 ◽  
Author(s):  
Keyword(s):  
New York ◽  
British Columbia ◽  
South Carolina ◽  
Hong Kong ◽  
North America ◽  
Distribution Map ◽  
White Peach Scale ◽  
St Helena ◽  
Pseudococcus Comstocki ◽  
New Distribution

Abstract A new distribution map is provided for Pseudococcus comstocki (Kuwana) Hemiptera: Coccoidea, Pseudococcidae (Comstock's mealybug, white peach scale). Attacks apple, pear, mulberry, cherry, peach, litchi, coffee, pomegranate. Information is given on the geographical distribution in USSR, Armenian SSR, Azerbaijan SSR, Georgian SSR, Kirghiz SSR, Moldavian SSR, Russian SSR, Tadzhik SSR, Turkmen SSR, Ukrainian SSR, uzbek SSR, Africa, St. Helena, Asia, Cambodia, China, Hong Kong, Japan, Korea, Malaysia, Thailand, Tibet, North America, Canada, British Columbia, Ontario, USA, California, Connecticut, Delaware, Georgia, Indiana, Louisiana, Maryland, New Jersey, New York, Ohio, Pennsylvania, South Carolina, Virginia, West Virginia.

scholarly journals Predicting the potential distribution of the Endangered huemul deer Hippocamelus bisulcus in North Patagonia

Oryx ◽  
2016 ◽  
Vol 51 (2) ◽  
pp. 315-323 ◽  
Author(s):  
Paloma Quevedo ◽  
Achaz von Hardenberg ◽  
Hernán Pastore ◽  
José Álvarez ◽  
Paulo Corti
Keyword(s):  
Potential Distribution ◽  
Summer Precipitation ◽  
Suitable Habitat ◽  
Large Mammals ◽  
Distribution Models ◽  
North Patagonia ◽  
Predictive Variables ◽  
Hippocamelus Bisulcus ◽  
Best Fitting ◽  
Fitting Model

AbstractHabitat loss is one of the main threats to wildlife, particularly large mammals. Estimating the potential distribution of threatened species to guide surveys and conservation is crucial, primarily because such species tend to exist in small fragmented populations. The Endangered huemul deer Hippocamelus bisulcus is endemic to the southern Andes of Chile and Argentina. Although the species occurs in the Valdivian Ecoregion, a hotspot for biodiversity, we have no information on its occupancy and potential distribution in this region. We built and compared species distribution models for huemul using the maximum entropy approach, using 258 presence records and sets of bioclimatic and geographical variables as predictors, with the objective of assessing the potential distribution of the species in the Valdivian Ecoregion. Annual temperature range and summer precipitation were the predictive variables with the greatest influence in the best-fitting model. Approximately 12,360 km2 of the study area was identified as suitable habitat for the huemul, of which 30% is included in the national protected area systems of Chile and Argentina. The map of potential distribution produced by our model will facilitate prioritization of future survey efforts in other remote and unexplored areas in which huemul have not been recorded since the 1980s but where there is a high probability of their occurrence.

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