Understanding the historical dynamics of animal species is critical for accurate prediction of their response to climate changes. During the late Quaternary period, Southeast Asia had a larger land area than today due to lower sea levels, and its terrestrial landscape was covered by extensive forests and savanna. To date, however, the distribution fluctuation of vegetation and its impacts on ge...

In this work, I evaluate the impact of species distribution models (SDMs) on the current status of environmental and ecological journals by asking the question to which degree development of SDMs in the literature is related to recent changes in the impact factors of ecological journals. The hypothesis evaluated states that research fronts are likely to attract research attention and potentiall...

Accurate establishment of baseline conditions is critical to successful management and habitat restoration. We demonstrate the ability to robustly estimate historical fish community composition and assess the current status of the urbanized Barton Creek watershed in central Texas, U.S.A. Fish species were surveyed in 2008 and the resulting data compared to three sources of fish occurrence infor...

Although species distribution models (SDMs) are commonly used to hindcast fine-scale population metrics, there remains a paucity of information about how well these predict future responses climate. Many conventional SDMs rely on spatially-explicit but time-invariant conditions quantify distributions and densities. We compared status quo ‘static' with more climate-informed 'dynamic' assess whet...

With the advent of technology for data gathering and storage, opportunistic citizen science are proliferating. Species distribution models (SDMs) aim to use species occurrence or abundance ecological insights, prediction management. We analysed a massive dataset with over 100,000 records incidental shipboard observations marine mammals. Our overall goal was create maps density from by using spa...

The predictive power of species distribution models (SDMs) varies substantially among depending on their ecological and life-history traits, but which these traits are the most relevant how they influence ‘predictability' remains an area debate. Here, we address questions in bryophytes. SDMs employing macroclimatic, topographic edaphic predictors were calibrated for 411 Europe externally evalua...

BACKGROUND Zoonotic avian influenza poses a major risk to China, and other parts of the world. H5N1 has remained endemic in China and globally for nearly two decades, and in 2013, a novel zoonotic influenza A subtype H7N9 emerged in China. This study aimed to improve upon our current understanding of the spreading mechanisms of H7N9 and H5N1 by generating spatial risk profiles for each of the t...

High-quality abundance data are expensive and time-consuming to collect and often highly limited in availability. Nonetheless, accurate, high-resolution abundance distributions are essential for many ecological applications ranging from species conservation to epidemiology. Producing models that can predict abundance well, with good resolution over large areas, has therefore been an important a...

Species distribution models (SDMs) are statistical tools that relate species observations to environmental conditions retrieve ecological niches and predict species' potential geographic distributions. The quality robustness of SDMs clearly depend on good modelling practices including ascertaining the relevance predictors for studied choosing an appropriate spatial resolution (or ‘grain size')....

With greater accessibility and processing power from online platforms, summaries of remotely sensed data are increasingly used in species distribution models (SDMs). Comparisons the predictive these environmental variables could inform SDMs moving forward. We evaluated performance freely available Landsat as predictor sets for SDMs. Our objectives were to (1) compare single season built on mean...