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Estimating soil organic carbon stocks under commercial forestry using topo-climate variables in KwaZulu-Natal, South Africa

Omosalewa Odebiri, Onisimo Mutanga, John Odindi, Kabir Peerbhay, Steven Dovey, Riyad Ismail1
2020 South African Journal of Science  
To reduce multicollinearity, these variables were reduced to 11 using stepwise backward elimination and the maximum entropy (Maxent) algorithm was used for regression analysis to determine the relationship  ...  the Maxent algorithm in predicting SOC stocks.  ...  Acknowledgements This research was supported by the South African National Research Foundation (grant no. 114898), the DST/NRF SARChI (grant no. 84157) and the Institute for Commercial Forestry Research  ... 
doi:10.17159/sajs.2020/6339 fatcat:vytyfwx7abgmpaxtjkvwjavjhu

Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling

Sadık DEMİRTAŞ
2020 Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi  
The purpose of this study is to reveal the potential geographic distribution in Last Glacial Maximum (approximately 22 kya), present and future (average 2070) periods of these lineages using Maximum Entropy  ...  Thus, it was attempted to estimate the importance of bioclimatic factors influencing the potential geographical distribution for each lineage as well as assessing the area under curve values.  ...  Author Contributions Performed statistical analysis and wrote the paper. Conflicts of Interest The author has no conflict of interest.  ... 
doi:10.28979/comufbed.696025 fatcat:fnp5l2ahy5abppp44jvpwxy4ye

Estimation of the Climate Preference Between Two Lineages of Europe-an Ground Squirrel Using Maximum Entropy Modeling

Sadık DEMİRTAŞ
2020 Journal of Advanced Research in Natural and Applied Sciences  
The purpose of this study is to reveal the potential geographic distribution in Last Glacial Maximum (approximately 22 kya), present and future (average 2070) periods of these lineages using Maximum Entropy  ...  Thus, it was attempted to estimate the importance of bioclimatic factors influencing the potential geographical distribution for each lineage as well as assessing the area under curve values.  ...  Author Contributions Performed statistical analysis and wrote the paper. Conflicts of Interest The author has no conflict of interest.  ... 
doi:10.28979/jarnas.844850 fatcat:fgw4cv3xzjgmtpsu6wtp7iiiam

Predicting geographical suitability of geothermal power plants

Gianpaolo Coro, Eugenio Trumpy
2020 Journal of Cleaner Production  
The map is the result of the application of data collection and preparation processes, and a Maximum Entropy model, to geospatial data potentially correlated with geothermal site suitability and geothermal  ...  Thus, having a global suitability map of geothermal sites as reference would be useful prior knowledge during assessments, and would help saving time and money.  ...  MaxEnt performs a relative maximisation of the entropy function on these locations, with respect to the entropy values of the parameters of random points taken all over the world (background points, Phillips  ... 
doi:10.1016/j.jclepro.2020.121874 fatcat:awkjyduvfvf6djowx4xhcm53vm

Estimating the distribution characters of Larix kaempferi in response to climate change

C Wu, J Shen, D Chen, C Du, X Sun, S Zhang
2020 iForest : Biogeosciences and Forestry  
The main climatic factors affecting the distribution of L. kaempferi were the annual mean temperature, mean temperature of the coldest quarter, annual mean precipitation, and precipitation in the driest  ...  A better understanding of the distribution of suitable habitats of Larix kaempferi and its environmental constraints is crucial to know how global climate change will affect its growth and future dynamics  ...  This research was funded by the National Key Research and Development Program of China (2017YFD0600401).  ... 
doi:10.3832/ifor3570-013 fatcat:olbtr5rkqnhjhizhzvtjdbpcw4

Developing and Testing a Framework for Estimating Potential Emission Reduction Credits: a pilot study in Shasta County, California, USA [article]

David Saah, Tadashi Moody, Eric K. Waller, Erica Newman, Max A. Moritz
2020 Figshare  
Developing and Testing a Framework for Estimating Potential Emission Reduction Credits: a pilot study in Shasta County, California, USA.  ...  , and a baseline fire hazard assessment (without fuels treatments).  ...  Maxent estimates the target distribution by finding the distribution of maximum information entropy (i.e. closest to uniform) subject to the constraint that the expected value of each feature under this  ... 
doi:10.6084/m9.figshare.11766855 fatcat:ynp24q4xdrahrbt7e7tz33tbfm

Global estimation of areas with suitable environmental conditions for mariculture species

Muhammed A. Oyinlola, Gabriel Reygondeau, Colette C. C. Wabnitz, Max Troell, William W. L. Cheung, Luciano Bosso
2018 PLoS ONE  
To this end, we quantify the environmental niche and inferred the global habitat suitability index (HSI) of the 102 most farmed marine species using four species distribution models.  ...  Increasing demand and consumption from a growing global population are driving further expansion of both inland and marine aquaculture (i.e., mariculture, including marine species farmed on land).  ...  Acknowledgments This study is a contribution by the Nippon Foundation-the University of British Columbia Nereus Program, an interdisciplinary ocean research program. Author Contributions  ... 
doi:10.1371/journal.pone.0191086 pmid:29357374 pmcid:PMC5774971 fatcat:vy5xemz75jahlewedmdklkwbwq

MONITORING OF AIR POLLUTION PRODUCED BY AIRCRAFT IN THE VICINITY OF AIRPORT

Kateryna Synylo, Kateryna Kazhan
2014 Vìsnik Nacìonalʹnogo Avìacìjnogo Unìversitetu  
Air pollution resulting from airport emissions and aircraft noise is a growing concern because of the expansion of air traffic over the years.  ...  Monitoring (measurement) and modeling techniques enables the assessment of historical, existing or future air pollution in the vicinities of airport.  ...  Assessment of the noise and emission pollution and their interdependencies is one of the basic stages of the MaxEnt Model and it was performed on the basis of results of noise and emission measurements  ... 
doi:10.18372/2306-1472.61.7607 fatcat:57lutwp3mffehltwiw76qajiwy

Combining Climatic Projections and Dispersal Ability: A Method for Estimating the Responses of Sandfly Vector Species to Climate Change

Dominik Fischer, Philipp Moeller, Stephanie M. Thomas, Torsten J. Naucke, Carl Beierkuhnlein, Ricardo E. Gürtler
2011 PLoS Neglected Tropical Diseases  
The determined bioclimatic envelopes were transferred to two climate change scenarios (A1B and B1) for Central Europe (Austria, Germany and Switzerland) using data of the regional climate model COSMO-CLM  ...  However, studies addressing potential future distribution of sandflies in the light of a changing European climate are missing.  ...  Acknowledgments The authors would like to thank the ''Bavarian Health and Food Safety Authority'' for the coordination of the Co-operative Project VICCI (''Vector-borne Infectious Diseases in Climate Change  ... 
doi:10.1371/journal.pntd.0001407 pmid:22140590 pmcid:PMC3226457 fatcat:jf2bm6srjfhvzc4vc3b3fy7eum

Predicting the Current and Future Potential Distributions of Lymphatic Filariasis in Africa Using Maximum Entropy Ecological Niche Modelling

Hannah Slater, Edwin Michael, Matthew Baylis
2012 PLoS ONE  
We used 508 communityspecific infection presence data collated from the published literature in conjunction with five predictive environmental/ climatic and demographic variables, and a maximum entropy  ...  Here, we use ecological niche modelling to map the current potential distribution of the macroparasitic disease, lymphatic filariasis (LF), in Africa, and to estimate how future changes in climate and  ...  Author Contributions Conceived and designed the experiments: EM HS. Analyzed the data: HS EM. Wrote the paper: HS EM.  ... 
doi:10.1371/journal.pone.0032202 pmid:22359670 pmcid:PMC3281123 fatcat:tln7eynsdzcqbkjqzcpgnfqiwm

POTENTIAL HABITAT MODELING OF WATER HYACINTH IN LAKES OF NEPAL USING MAXENT ALGORITHM

S. S. Thakuri, P. Shrestha, M. Deuba, P. Shah, O. P. Bhandari, S. Shrestha
2019 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Our study focuses on potential habitat modeling of Water hyacinth over the major lakes of Nepal using Maxent algorithm.  ...  The performance and accuracy of potential habitat distribution model was evaluated using parameter Area under the Receiver Operating Characteristic Curve (AUC) which was within the range of 0.9–1.  ...  Current Habitat Distribution Modeling Maximum entropy model (Maxent version 3.3.3) was used for the preparation of potential distribution model.  ... 
doi:10.5194/isprs-annals-iv-5-w2-103-2019 fatcat:ckvjltzkg5dftbhjmop6b5mo6a

Structural uncertainty in projecting global fisheries catches under climate change

William W.L. Cheung, Miranda C. Jones, Gabriel Reygondeau, Charles A. Stock, Vicky W.Y. Lam, Thomas L. Frölicher
2016 Ecological Modelling  
A major structural uncertainty of the projected redistribution of species and fisheries catches can be attributed to the habitat suitability algorithms used.  ...  Here, we compare the DBEM projections of potential catches of 500 species of exploited marine fishes and invertebrates from 1971 to 2060 using three versions of DBEM that differ by the algorithm used to  ...  Acknowledgements This study is a contribution from the Nippon Foundation-The University of British Columbia Nereus Program.  ... 
doi:10.1016/j.ecolmodel.2015.12.018 fatcat:kxpbggvfkjc35a4eujualmwcvq

CLIMATE CHANGE IMPACTS ON THE DISTRIBUTION OF STIPA TENACISSIMA L. ECOSYSTEMS IN NORTH AFRICAN ARID ZONE ‒ A CASE STUDY IN TUNISIA

H BEN MARIEM
2017 Applied Ecology and Environmental Research  
To investigate the potential effects of climate change on the target species we used Maxent modeling algorithm for two representative concentration pathways (RCPs) lower emission scenario (RCP 2.6) and  ...  Results of the analysis showed a negative impact of climate change on the S. tenacissima ecosystem.  ...  This algorithm estimates species distributions based on presence-only data by finding the distribution of maximum entropy, subject to the constraint that the expectancy of each environmental variable under  ... 
doi:10.15666/aeer/1503_067082 fatcat:oh4qlwj5rvfyvk26lad4ksphdy

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

Dengsheng Lu, Qi Chen, Guangxing Wang, Lijuan Liu, Guiying Li, Emilio Moran
2014 International Journal of Digital Earth  
Additionally, we discuss the impacts of scales on biomass estimation performance and describe a general biomass estimation procedure.  ...  of suitable variables from remote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure.  ...  Acknowledgments The authors acknowledge the support from the Zhejiang A& F University's Research and Development Fund for the talent startup project (2013FR052), Zhejiang Provincial Key Laboratory of Carbon  ... 
doi:10.1080/17538947.2014.990526 fatcat:bkc3syq3pfgzxkawig2pog7i3y

Potential Range Expansion of the Invasive Red Shiner, Cyprinella lutrensis (Teleostei: Cyprinidae), under Future Climatic Change

Helen M. Poulos, Barry Chernoff
2014 Open Journal of Ecology  
We used presence records from within the species' native and invaded distributions, a suite of bioclimatic predictor variables from three climate models (CCCma, CSIRO, and HadCM3), and maximum entropy  ...  The models exceeded average area under the receiver operator characteristic curve values of 0.92, indicating good overall model performance.  ...  Acknowledgements The authors wish to thank Pam Fuller of USGS and the Nonindigenous Aquatic Species database for assistance in compiling non-native Red Shiner distribution data.  ... 
doi:10.4236/oje.2014.49045 fatcat:txf6unrbaraotffmu5wo6kqtcq
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