scholarly journals MaxEnt Modeling for Predicting the Current and Future Potential Geographical Distribution of Quercus libani Olivier

2020 ◽  
Vol 12 (7) ◽  
pp. 2671 ◽  
Author(s):  
H. Oğuz Çoban ◽  
Ömer K. Örücü ◽  
E. Seda Arslan
Keyword(s):  
Climate Change ◽  
Geographical Distribution ◽  
Potential Distribution ◽  
Climate Change Scenarios ◽  
Change Analysis ◽  
Climate System Model ◽  
Study Results ◽  
Bioclimatic Variables ◽  
Rcp 8.5 ◽  
Future Potential

The purpose of the study was to model the current and potential future distribution of Quercus libani Olivier (Lebanon Oak), a tree species in Turkey, and to predict the changes in its geographical distribution under different climate change scenarios. In this study, 19 bioclimatic variables at a spatial resolution of 30 arc seconds (~1 km2) were used, collected from the WorldClim database. The bioclimatic data with high correlation according to 31 sets of presence data on the species were reduced with principal component analysis (PCA), and the current and potential distribution were identified using MaxEnt 3.4.1 software. In order to predict how the distribution of the species will be affected by climate change, its potential geographical distribution by 2050 and 2070 was modeled under the Representative Concentration Pathways (RCP) RCP 4.5 and RCP 8.5 scenarios of the species using the Community Climate System Model (CCSM, version 4), which is a climate change model based on the report of the fifth Intergovernmental Panel on Climate Change (IPCC). Change analysis was performed to determine the spatial differences between its current and future distribution areas. The study results showed that the suitable areas for the current distribution of Quercus libani Olivier cover 72,819 km2. Depending on the CCSM4 climate model, the suitable area will decline to 67,580 km2 by 2070, according to the RCP 4.5 scenario, or 63,390 km2 in the RCP 8.5 scenario. This may lead to a reduction in the future population of this species. The change analysis showed that suitable and highly suitable areas will decrease under global climate change scenarios (RCP 4.5 and RCP 8.5) for both current and future potential distribution areas. In this context, our study results indicate that for the management of this species, protective environmental measures should be taken, and climate change models need to be considered in land use and forest management planning.

scholarly journals Modeling the Potential Global Distribution of Phenacoccus madeirensis Green under Various Climate Change Scenarios

Forests ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 773 ◽  
Author(s):  
Jiufeng Wei ◽  
Xiaozhou Li ◽  
Yunyun Lu ◽  
Ling Zhao ◽  
Hufang Zhang ◽  
...  
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Climatic Conditions ◽  
Invasive Pest ◽  
Distribution Model ◽  
Climate Change Scenarios ◽  
Rcp 8.5 ◽  
Future Potential ◽  
Phenacoccus Madeirensis ◽  
Control And Management

The Madeira mealybug, Phenacoccus madeirensis Green, is a serious invasive pest that does significant damage to more than 120 genera of host plants from 51 families in more than 81 countries. However, the potential distribution range of this pest is unclear, which could hamper control and eradication efforts. In the current study, MaxEnt models were developed to forecast the current and future distribution of the Madeira mealybug around the world. Moreover, the future potential distribution of this invasive species was projected for the 2050s and 2070s under three different climate change scenarios (HADGEM2-AO, GFDL-CM3, and MIROC5) and two representative concentration pathways (RCP-2.6 and RCP-8.5). The final model indicates that the Madeira mealybug has a highly suitable range for the continents of Asia, Europe, and Africa, as well as South America and North America, where this species has already been recorded. Potential expansions or reductions in distribution were also simulated under different future climatic conditions. Our study also suggested that the mean temperature of the driest quarter (Bio9) was the most important factor and explained 46.9% of the distribution model. The distribution model from the current and future predictions can enhance the strategic planning of agricultural and forestry organization by identifying regions that will need to develop integrated pest management programs to manage Madeira mealybug, especially for some highly suitable areas, such as South Asia and Europe. Moreover, the results of this research will help governments to optimize investment in the control and management of the Madeira mealybug by identifying regions that are or will become suitable for infestations.

scholarly journals Maxent modeling for predicting the potential distribution of Arbutus andrachne L. belonging to climate change in Turkey.

2021 ◽  
Vol 48 (2) ◽  
Author(s):  
Ayse Gul Sarikaya ◽  
◽  
Omer K. Orucu ◽  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Potential Distribution ◽  
Climate Change Scenarios ◽  
Small Tree ◽  
Potential Habitat ◽  
Northern Areas ◽  
Maxent Modeling ◽  
Rcp 8.5 ◽  
Turkish Flora

Arbutus andrachne L., the strawberry tree, is an evergreen shrub or small tree in the Turkish flora and has broad uses. The wood is used for decorative purposes, packaging, and manufacturing furniture. The fruits are edible and used in treating many kinds of diseases. However, global warming might affect the abundance of this symbolic plant's distribution, especially at higher latitudes. This study was conducted to determine the expected effects of climate change on A. andrachne. For this purpose, Representative Concentration Pathway (RCP) 4.5 and RCP 8.5 were used to expect climate change scenarios for 2050 and 2070, and potential distribution areas of A. andrachne were presented. The results indicated that the distribution of A. andrachne would decrease in the southern regions of Turkey. However, the spread of the species could be expanded in the western and northern areas. It is also expected that there would be potential habitat losses, which would affect the distribution of A. andrachne.

scholarly journals Predicting potential impacts of climate change on the geographical distribution of mountainous selaginellas in Java, Indonesia

2020 ◽  
Vol 21 (10) ◽  
Author(s):  
AHMAD DWI SETYAWAN ◽  
JATNA SUPRIATNA ◽  
NISYAWATI NISYAWATI ◽  
ILYAS NURSAMSI ◽  
SUTARNO SUTARNO ◽  
...  
Keyword(s):  
Climate Change ◽  
Geographical Distribution ◽  
Flowering Plant ◽  
Distribution Model ◽  
Climate Change Scenarios ◽  
Mountainous Areas ◽  
Bioclimatic Variables ◽  
Suitable Habitats ◽  
High Level ◽  
Impacts Of Climate Change

Abstract. Setyawan AD, Supriatna J, Nisyawati, Nursamsi I, Sutarno, Sugiyarto, Sunarto, Pradan P, Budiharta S, Pitoyo A, Suhardono S, Setyono P, Indrawan M. 2020. Predicting potential impacts of climate change on the geographical distribution of mountainous selaginellas in Java, Indonesia. Biodiversitas 21: 4866-4877. Selaginella is a genus of non-flowering plant that requires water as a medium for fertilization, as such, it prefers mountainous areas with high level of humidity. Such unique ecosystem of Selaginella is available in some parts of Java Island, Indonesia, especially in highland areas with altitude of more than 1,000 meters above sea level. However, most mountainous areas in Java are likely to be affected by climate change due to global warming, threatening the habitat and sustainability of Selaginella. This study aimed to investigate the impacts of climate change on the geographical distribution of Selaginella opaca Warb. and Selaginella remotifolia Spring. In doing so, we predicted the suitable habitats of both species using Species Distribution Model (SDM) tool of MaxEnt under present climate conditions and future conditions under four climate change scenarios. Species occurrence data were obtained from fieldworks conducted in 2007-2014 across Java Island (283 points: 144 and 139 points for S. opaca and S. remotifolia, respectively) and combined with secondary data from Global Biodiversity Information Facility (GBIF) (52 points: 35 and 17 points for S. opaca and S. remotifolia, respectively), and this dataset was used to model present geographical distribution using environmental and bioclimatic variables. Then, future distribution was predicted under four climate change scenarios: i.e. RCP (Representative Carbon Pathways) 2.6, RCP 4.5, RCP 6.0, and RCP 8.5 in three different time periods (2030, 2050, and 2080). The results of the models showed that the extent of suitable habitats of S. opaca and S. remotifolia will be reduced between 1.8-11.4% due to changes in climatic condition, and in the areas with high level of habitat suitability, including Mount Sumbing, Mount Sindoro and Mount Dieng (Dieng Plateau), the reduction can reach up to 60%. This study adds another context of evidence to understand the potential impacts of climate change on biodiversity, especially on climate-sensitive species, such as Selaginella, in climate-risk regions like mountainous areas of Java Island.

scholarly journals Predictive Modelling of Current and Future Potential Distribution of the Spectacled Bear (Tremarctos ornatus) in Amazonas, Northeast Peru

Animals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 1816
Author(s):  
Gerson Meza Mori ◽  
Elgar Barboza Castillo ◽  
Cristóbal Torres Guzmán ◽  
Dany A. Cotrina Sánchez ◽  
Betty K. Guzman Valqui ◽  
...  
Keyword(s):  
Climate Change ◽  
Potential Distribution ◽  
Predictive Modelling ◽  
High Potential ◽  
Climate Change Scenarios ◽  
Potential Habitat ◽  
Total Potential ◽  
Protected Natural Areas ◽  
Future Potential ◽  
Sustainable Conservation

The spectacled, or Andean, bear (Tremarctos ornatus) is classified as vulnerable by the IUCN due to climate change and human-induced habitat fragmentation. There is an urgent need for the conservation of spectacled bear at real time. However, the lack of knowledge about the distribution of this species is considered as one of the major limitations for decision-making and sustainable conservation. In this study, 92 geo-referenced records of the spectacled bear, 12 environmental variables and the MaxEnt entropy modelling have been used for predictive modelling for the current and future (2050 and 2070) potential distribution of the spectacled bear in Amazonas, northeastern Peru. The areas of “high”, “moderate” and “low” potential habitat under current conditions cover 1.99% (836.22 km2), 14.46% (6081.88 km2) and 20.73% (8718.98 km2) of the Amazon, respectively. “High” potential habitat will increase under all climate change scenarios, while “moderate” and “low” potential habitat, as well as total habitat, will decrease over the time. The “moderate”, “low” and total potential habitat are distributed mainly in Yunga montane forest, combined grasslands/rangelands and secondary vegetation and Yunga altimontane (rain) forest, while “high” potential habitat is also concentrated in the Jalca. The overall outcome showed that the most of the important habitats of the spectacled bear are not part of the protected natural areas of Amazonas, under current as well as under future scenarios.

Present and future potential distribution of the endemic Perote ground squirrel (Xerospermophilus perotensis) under different climate change scenarios

Mammalia ◽  
2014 ◽  
Vol 0 (0) ◽  
pp. 1-15 ◽  
Author(s):  
José Arturo García-Domínguez ◽  
Octavio Rafael Rojas-Soto ◽  
Jorge R. Galindo-González ◽  
Alberto González-Romero ◽  
María del Rosario Pineda-López ◽  
...  
Keyword(s):  
Climate Change ◽  
Ground Squirrel ◽  
Potential Distribution ◽  
Climate Change Scenarios ◽  
Future Potential

scholarly journals Distribution Change of Invasive American Bullfrogs (Lithobates catesbeianus) by Future Climate Threaten Endangered Suweon Treefrog (Hyla suweonensis) in South Korea

Animals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 2865
Author(s):  
Kyo Soung Koo ◽  
Minjee Choe
Keyword(s):  
Climate Change ◽  
South Korea ◽  
Native Species ◽  
Potential Distribution ◽  
Current Level ◽  
Climate Change Scenarios ◽  
Direct Impact ◽  
Lithobates Catesbeianus ◽  
American Bullfrog ◽  
Rcp 8.5

The American Bullfrog (Lithobates catesbeianus) has been imported into South Korea in earnest for food since the 1970s and introduced into nature due to release and escape. Accordingly, the influx and spread of American Bullfrogs are expected to have a direct impact on native species, but few related studies have been conducted on this. We predicted changes in the potential distribution and future distribution based on climate change scenarios to analyze how those changes affect critically endangered Suwon treefrogs. Suwon treefrog sites (63.9%, 78/122) overlapped with the distribution of Bullfrogs. According to the prediction of the future distribution of Bullfrogs, the overlapping of American Bullfrogs and Suwon treefrog will remain similar to the current level in the Representative Concentration Pathway (RCP) 4.5 scenario. On the other hand, in the RCP 8.5 scenario, the number of overlapping sites will increase to 72.1% (88/122) due to the spreading of the American Bullfrogs. The results show that climate change directly affects the distribution expansion of the American Bullfrogs but also indirectly can lead to an increased threat to Suwon treefrogs. In conclusion, our results strongly suggest why climate change should be actively addressed in terms of the spread of invasive species and the protection of endangered species.

scholarly journals Thermal Niche for Seed Germination and Species Distribution Modelling of Swietenia macrophylla King (Mahogany) under Climate Change Scenarios

Plants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2377
Author(s):  
Salvador Sampayo-Maldonado ◽  
Cesar A. Ordoñez-Salanueva ◽  
Efisio Mattana ◽  
Michael Way ◽  
Elena Castillo-Lorenzo ◽  
...  
Keyword(s):  
Climate Change ◽  
Seed Germination ◽  
Potential Distribution ◽  
Germination Rate ◽  
Thermal Time ◽  
Base Temperature ◽  
Climate Change Scenarios ◽  
Swietenia Macrophylla ◽  
Climate System Model ◽  
Current Scenario

Swietenia macrophylla is an economically important tree species propagated by seeds that lose their viability in a short time, making seed germination a key stage for the species recruitment. The objective of this study was to determine the cardinal temperatures and thermal time for seed germination of S. macrophylla; and its potential distribution under different climate change scenarios. Seeds were placed in germination chambers at constant temperatures from 5 to 45 °C and their thermal responses modelled using a thermal time approach. In addition, the potential biogeographic distribution was projected according to the Community Climate System Model version 4 (CCSM4). Germination rate reached its maximum at 37.3 ± 1.3 °C (To); seed germination decreased to near zero at 52.7 ± 2.2 °C (ceiling temperature, Tc) and at 12.8 ± 2.4 °C (base temperature, Tb). The suboptimal thermal time θ150 needed for 50% germination was ca. 190 °Cd, which in the current scenario is accumulated in 20 days. The CCSM4 model estimates an increase of the potential distribution of the species of 12.3 to 18.3% compared to the current scenario. The temperature had an important effect on the physiological processes of the seeds. With the increase in temperature, the thermal needs for germination are completed in less time, so the species will not be affected in its distribution. Although the distribution of the species may not be affected, it is crucial to generate sustainable management strategies to ensure its long-term conservation.

Present and future potential distribution of the endemic Perote ground squirrel (Xerospermophilus perotensis) under different climate change scenarios

ENERGYO ◽  
2018 ◽  
Author(s):  
José Arturo García-Domínguez ◽  
Octavio Rafael Rojas-Soto ◽  
Jorge R. Galindo-González ◽  
Alberto González-Romero ◽  
María del Rosario Pineda-López ◽  
...  
Keyword(s):  
Climate Change ◽  
Ground Squirrel ◽  
Potential Distribution ◽  
Climate Change Scenarios ◽  
Future Potential

scholarly journals Water Temperature and Hydrological Modelling in the Context of Environmental Flows and Future Climate Change: Case Study of the Wilmot River (Canada)

Water ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2101
Author(s):  
Christian Charron ◽  
André St-Hilaire ◽  
Taha B.M.J. Ouarda ◽  
Michael R. van den Heuvel
Keyword(s):  
Climate Change ◽  
Water Temperature ◽  
Environmental Flows ◽  
Low Flow ◽  
Future Climate Change ◽  
Climate Change Scenarios ◽  
Water Abstraction ◽  
Surface Water Flow ◽  
Modelling Studies ◽  
Rcp 8.5

Simulation of surface water flow and temperature under a non-stationary, anthropogenically impacted climate is critical for water resource decision makers, especially in the context of environmental flow determination. Two climate change scenarios were employed to predict streamflow and temperature: RCP 8.5, the most pessimistic with regards to climate change, and RCP 4.5, a more optimistic scenario where greenhouse gas emissions peak in 2040. Two periods, 2018–2050 and 2051–2100, were also evaluated. In Canada, a number of modelling studies have shown that many regions will likely be faced with higher winter flow and lower summer flows. The CEQUEAU hydrological and water temperature model was calibrated and validated for the Wilmot River, Canada, using historic data for flow and temperature. Total annual precipitation in the region was found to remain stable under RCP 4.5 and increase over time under RCP 8.5. Median stream flow was expected to increase over present levels in the low flow months of August and September. However, increased climate variability led to higher numbers of periodic extreme low flow events and little change to the frequency of extreme high flow events. The effective increase in water temperature was four-fold greater in winter with an approximate mean difference of 4 °C, while the change was only 1 °C in summer. Overall implications for native coldwater fishes and water abstraction are not severe, except for the potential for more variability, and hence periodic extreme low flow/high temperature events.

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