Insect pests are a major threat to agricultural biosecurity across the world, causing substantial economic losses. Majority of the species distribution modeling studies use precise coordinates (latitude/longitude) of species occurrences in MaxEnt (or maximum entropy model). However, lack of precise coordinates of insect pest occurrences at national/regional level is a common problem for many co...

BACKGROUND Qinghai-Tibetan Plateau of China is known to be the plague endemic region where marmot (Marmota himalayana) is the primary host. Human plague cases are relatively low incidence but high mortality, which presents unique surveillance and public health challenges, because early detection through surveillance may not always be feasible and infrequent clinical cases may be misdiagnosed. ...

To investigate the comparative abilities of six different bioclimatic models in an independent area, utilizing the distribution of eight different species available at a global scale and in Australia. Global scale and Australia. We tested a variety of bioclimatic models for eight different plant species employing five discriminatory correlative species distribution models (SDMs) including Gener...

a r t i c l e i n f o The coral species Paragorgia arborea and Primnoa resedaeformis are abundant and widely distributed gorgonians in North Atlantic waters. Both species add significant habitat complexity to the benthic environment, and support a host of invertebrate species. Mapping their distribution is an essential step in conservation and resource management , but challenging as a result o...

Maximum Entropy (MaxEnt) models (Jaynes, 1957) are exponential models that implement the intuition that if there is no evidence to favour one alternative solution above another, both alternatives should be equally likely. In order to accomplish this, as much information as possible about the process you want to model must be collected. This information consists of frequencies of events relevant...

Climate change can profoundly alter species' distributions due to changes in temperature, precipitation, or seasonality. Migratory monarch butterflies (Danaus plexippus) may be particularly susceptible to climate-driven changes in host plant abundance or reduced overwintering habitat. For example, climate change may significantly reduce the availability of overwintering habitat by restricting t...

Soil erosion is one of the most challenging environmental issues in world, causing unsustainable soil loss every year. In South Africa, several episodes gully have been documented and clearly linked to presence Quaternary colluvial deposits on Drakensberg Mountain footslopes. The aim this study was identify assess triggering factors upper Mkhomazi River basin KwaZulu-Natal, Africa. We compiled ...

This work presents a comprehensive second-order predictive modeling (PM) methodology based on the maximum entropy (MaxEnt) principle for obtaining best-estimate mean values and correlations model responses parameters. is designated by acronym 2nd-BERRU-PMP, where attribute “2nd” indicates that this incorporates second- order uncertainties (means covariances) second (and higher) sensitivities of...

Forest lightning fire is a recurrent and serious problem in the Daxinganling Mountains of northeastern China. Information on the spatial distribution of fire danger is needed to improve local fire prevention actions. The Maxent (Maximun Entropy Models), which is prevalent in modeling habitat distribution, was used to predict the possibility of lightning fire occurrence in a 1 × 1 km grid based ...

Species distribution models are usually evaluated with cross-validation. In this procedure evaluation statistics are computed from model predictions for sites of presence and absence that were not used to train (fit) the model. Using data for 226 species, from six regions, and two species distribution modeling algorithms (Bioclim and MaxEnt), I show that this procedure is highly sensitive to "s...