Open Access Open Access  Restricted Access Subscription or Fee Access

Optimization of Ensemble Modeling Approach for Studying Climatic Niche and Conservation Status Assessment for Endemic Taxa

Rajasri Ray, T.V. Ramachandra

Abstract



Modeling ecological niche of rare endemic species is an understated issue especially for data-deficient endangered taxa. Syzygium travancoricum Gamble. a critically endangered plant in southern Western Ghats of India was considered to examine the role of pseudo-absence and modeling algorithms in endemic species niche formulation. This aided in reassessing IUCN status emphasizing on geographical distribution.
Seven different modeling algorithms were attempted considering different sets of pseudo-absence points through BIOMOD2 program in R and MaxEnt. The outputs were compared with the extent of occurrence (EOO) and area of occupancy (AOO), as done in conservation status assessment exercise by IUCN.
Modeling algorithm and pseudo-absence points play an important role in model development. Ensemble methods displayed wider variations in outputs despite having good statistical performance thus emphasizing on importance of multiple algorithm trials for data deficient taxa. Both model and topology based methods have shown much higher values for EOO and AOO which contradict it’s critically endangered status; thus, suggesting re-evaluation of the threat status with comprehensive field investigation.

Keywords


BIOMOD2, conservation status, endemism, ensemble modeling, IUCN, Western Ghats

Full Text:

PDF


Regarding indexing issue:

We have provided the online access of all issues & papers to the all  indexing agencies (as given on our journal home web site). It’s depend on indexing agencies when, how and what manner they can index or not. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.