Inferring Population Genetic Parameters: Particle Filtering, HMM, Ripley’s K-Function or Runs of Homozygosity?

Author(s):  
Svend V. Nielsen ◽  
Simon Simonsen ◽  
Asger Hobolth
Author(s):  
Alexander Hohl ◽  
Minrui Zheng ◽  
Wenwu Tang ◽  
Eric Delmelle ◽  
Irene Casas

2019 ◽  
Vol 11 (20) ◽  
pp. 2361 ◽  
Author(s):  
Rihan ◽  
Zhao ◽  
Zhang ◽  
Guo ◽  
Ying ◽  
...  

With climate change, significant fluctuations in wildfires have been observed on the Mongolian Plateau. The ability to predict the distribution of wildfires in the context of climate change plays a critical role in wildfire management and ecosystem maintenance. In this paper, Ripley’s K function and a Random Forest (RF) model were applied to analyse the spatial patterns and main influencing factors affecting the occurrence of wildfire on the Mongolian Plateau. The results showed that the wildfires were mainly clustered in space due to the combination of influencing factors. The distance scale is less than 1/2 of the length of the Mongolian Plateau; that is, it does not experience boundary effects in the study area and it meets the requirements of Ripley’s K function. Among the driving factors, the fraction of vegetation coverage (FVC), land use degree (La), elevation, precipitation (pre), wet day frequency (wet), and maximum temperature (tmx) had the greatest influences, while the aspect had the lowest influence. The likelihood of fire was mainly concentrated in the northern, eastern, and southern parts of the Mongolian Plateau and in the border area between the Inner Mongolia Autonomous Region (Inner Mongolia) and Mongolian People’s Republic (Mongolia), and wildfires did not occur or occurred less frequently in the hinterland area. The fitting results of the RF model showed a prediction accuracy exceeding 90%, which indicates that the model has a high ability to predict wildfire occurrences on the Mongolian Plateau. This study can provide a reference for predictions and decision-making related to wildfires on the Mongolian Plateau.


Author(s):  
Luana Batista Da Cruz ◽  
Johnatan Carvalho Souza ◽  
Anselmo Paiva ◽  
Joao Dallyson ◽  
Geraldo Braz Junior ◽  
...  

FLORESTA ◽  
2010 ◽  
Vol 40 (2) ◽  
Author(s):  
Rafael Rode ◽  
Afonso Figueiredo Filho ◽  
Sebastião Do Amaral Machado ◽  
Franklin Galvão

A estrutura espacial de seis grupos florísticos e das espécies arbóreas de maior valor de importância em cada grupo, estabelecidas sob um povoamento de Araucaria angustifolia (A) e em uma Floresta Ombrófila Mista (B), localizados no centro-sul do Paraná foram avaliadas. As parcelas permanentes em A e B têm10 e 25 ha em blocos contínuos de 100 m x 100 m. Todos os indivíduos com diâmetro à altura do peito acima de 10 cm foram posicionados espacialmente. Um bloco de cada grupo foi selecionado para avaliar a distribuição espacial, utilizando a função K de Ripley para os testes de Completa Aleatoriedade Espacial e Completa Independência Espacial. Para todos os indivíduos, os grupos em A tiveram aleatoriedade espacial, enquanto que o padrão agrupado foi identificado nos grupos de B. A independência espacial, das principais espécies foi observada quando a cobertura das araucárias foi menos intensa. Com aumento da densidade, observou-se maior competição entre as espécies, identificadas pela dependência espacial, inibição e atração. Em B, as espécies avaliadas acompanharam o padrão de distribuição dos grupos. Merece destaque Ilex paraguariensis pela alta plasticidade nos quatro grupos da B, de forma agrupada e com dependência espacial, na presença de Araucaria angustifolia e Nectandra grandiflora. Palavras-chave:  Função K de Ripley; análise espacial; floresta com araucária; povoamento de araucária.   Abstract Spatial pattern analysis of species and floristic groups established in an Araucaria angustifolia stand and in a Mixed Rain Florest in the center-south of Paraná. The spatial structure of six floristics groups and the main arboreal species established in an Araucaria angustifolia stand (A) and a Mixed Rain Forest (B) located in Parana State, Brazil was evaluated. Permanet plots in A and B have 10 and 25 ha in continuous blocks of 100 m x 100 m. All trees with diameter (dbh) above 10 cm were positioned spatiality. A block of each group was selected to evaluate the spatial structure, using the Ripley’s K function, for the tests of Complete Spatial Randomness and Complete Spatial Independence. Groups in A had spatial random ness, when considered all the individuals, while the clustering pattern was identified in the B groups. The spatial independence of the main species was observed when the covering of the “araucarias” was less intense (A). With the density increases (A), larger competition was observed among the species, identified by the spatial dependence, inhibition and attraction. In B, the appraised species accompanied the pattern of distribution of the groups. It deserves prominence Ilex paraguariensis for the discharge plasticity in the four groups of the B in a grouped way and with spatial dependence, in presence of Araucaria angustifolia and Nectandra grandiflora.Keywords: Ripley’s K function; spatial analysis; araucaria forest; araucaria stand.


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