NDLI: Fauna data integration and species distribution modelling as two major advantages of geoinformatics-based phytobiodiversity study in today’s fast changing climate

Content Provider	Springer Nature Link
Author	Matin, Shafique Chitale, Vishwas Sudhir Behera, Mukunda Dev Mishra, Birupakshya Roy, Partha Sarathi
Copyright Year	2012
Abstract	The development and growth of geospatial techniques offer many advantages and challenges to the study of biodiversity, especially in the present era of climate change. We are now at the beginning of the international decade for biodiversity and by the time we travel through the decade, there would be sea-changes in the measurement and monitoring approaches, database management options, and inter-linked studies on biodiversity. With the onset of geoinformatics techniques comprising remote sensing, global positioning system (GPS), integrative tools, such as GIS, is realized as a complimentary system to ground-based biodiversity studies. Recently, a nationwide biodiversity study at landscape level using geoinformatics modeling techniques for India has been completed. The study has assessed plant diversity using a three-tier approach, wherein six biodiversity attributes (i.e., spatial, phytosociological, social, physical, economical, and ecological) were linked together based on their relative importance to stratify biological richness of forest vegetation (non-agricultural) of India. It has enumerated 7,964 plant species from 20,000 nested quadrate sampling plots of 0.04 ha each, delineated and mapped 120 vegetation classes; and organized the geo-spatial database on bisindia web portal. Here, we have (i) proposed a method to incorporate the fauna component in-line up with the existing methodology and (ii) utilized the GPS-gathered positional information on the distribution of two species (i.e., Medicago sativa and Poa annua to simulate their distribution for the year 2020 (SRES A1-B scenario, IPCC) using Maxent model. The study conducted in a test site of western Himalayas estimated (i) 24% increase in the overall biologically rich areas on supplement of fauna data and (ii) distribution of both the species would tend to increase in favor of shorter cold season. The study highlights the importance of geoinformatics technique-based biodiversity study for its amenability to incorporate any further change or modification, and utility of the geo-spatial biodiversity database for simulating various species distribution scenarios to understand their ecology in today’s fast changing climate for effective conservation prescriptions.
Starting Page	1229
Ending Page	1250
Page Count	22
File Format	PDF
ISSN	09603115
Journal	Biodiversity and Conservation
Volume Number	21
Issue Number	5
e-ISSN	15729710
Language	English
Publisher	Springer Netherlands
Publisher Date	2012-02-14
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Kargil Western Himalaya Biological richness Maxent SDM Plant Sciences Evolutionary Biology Tree Biology
Content Type	Text
Resource Type	Article
Subject	Ecology Ecology, Evolution, Behavior and Systematics Nature and Landscape Conservation

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