Matching expert range maps with species distribution model predictions
نویسندگان
چکیده
منابع مشابه
Confronting species distribution model predictions with species functional traits
Species distribution models are valuable tools in studies of biogeography, ecology, and climate change and have been used to inform conservation and ecosystem management. However, species distribution models typically incorporate only climatic variables and species presence data. Model development or validation rarely considers functional components of species traits or other types of biologica...
متن کاملMaximum Likelihood Rover Localization by Matching Range Maps
This paper describes marimunl likelihood estirncr-tion techniques for performirlg rover localizatio?t in natural terrain by matching range ntaps. An OCCUpancy map of the local terrain isgertef'ated usirigstcreo visiou. The positioa of the rover rvith respect to a previously generated occupancy map M then computed by comparing the maps using a probabdistic formulation of [[ausdoz-ff matching iec...
متن کاملAveraging Expert Predictions
We consider algorithms for combining advice from a set of experts. In each trial, the algorithm receives the predictions of the experts and produces its own prediction. A loss function is applied to measure the discrepancy between the predictions and actual observations. The algorithm keeps a weight for each expert. At each trial the weights are first used to help produce the prediction and the...
متن کاملBotanical recording , distribution maps and species frequency
A standardised botanical survey technique was used to investigate sources of variation in botanical surveys used to produce distribution maps and assess species frequency, The most significant sources of variation between visits were the individual botanists; the number of habitats visited and length of route recorded also explained some variation. The number of records for each species increas...
متن کاملPainting maps with bats: species distribution modelling in bat
20 Species distribution models (SDMs) offer an effective tool for identifying species 21 conservation requirements and forecasting how global environmental changes will affect 22 species diversity and distribution. This approach is particularly relevant for bats because their 23 nocturnal behaviour hinders detectability and identification in flight. Despite their important 24 contribution to gl...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Conservation Biology
سال: 2020
ISSN: 0888-8892,1523-1739
DOI: 10.1111/cobi.13492