TY -
GEN
AU - Ojha, Nirmal
AU - Drescher, Axel W.
TI -
A new tool for predicting distribution patterns of African dragonflies in space and time: sensitivity analyses of model parameters and environmental variables
PB - Universität
KW - Species Distribution modelling
KW - elastic-net regularisation
KW - (SBT)soft-buffer threshold (SBT)
KW - Pseudagrion kersteni
KW - GIS modelling
KW - (local)doctoralThesis
KW - Hochschulschrift
PY - 2015
N2 - Zusammenfassung: In the last few decades, Africa has been a dynamic continent regarding the changes in landscape, population and climate. To identify effects of the changes in environmental conditions on biodiversity, species distribution modelling (SDM) can be of use and SDM has been used in wide array of ecological applications such as determining hotspots, planning of reserves, designing survey for biodiversity inventory, or assessing the impacts of environmental change on biodiversity. Odonata which require both terrestrial and aquatic ecosystem for a lifecycle, is suitable species to consider as flagship species for many ecological studies. Here, a logistic regression based new SDM tool, the ‘SpeeDi Tool' is presented focusing on modelling the distribution of African Odonata species using the Odonata Database of Africa. The use of geographic information system (GIS) in pre- and post-processing is integral part of the SDM workflow and GIS and statistical modelling is integrated in the SpeeDi Tool. The user centred approach for the development of the SpeeDi Tool offers usability and achievement of the goal (i.e. predicting the distribution range) with ease.Pseudagrion kersteni, a widely spread dragonfly species in sub-Saharan Africa, is taken as species of interest to demonstrate the use and ability of the SpeeDi Tool.
CY - Freiburg
UR - http://slubdd.de/katalog?TN_libero_mab2
ER -