NDLI: Does plot size affect the performance of GIS-based species distribution models?

Please wait, while we are loading the content...

Does plot size affect the performance of GIS-based species distribution models?

Content Provider	Springer Nature Link
Author	Pandit, Shubha N. Hayward, April Leeuw, Jan Kolasa, Jurek
Copyright Year	2010
Abstract	Species distribution models are used extensively in predicting the distribution of vegetation across a landscape. Accuracy of the species distribution maps produced by these models deserves attention, since low accuracy maps may lead to erroneous conservation decisions. While plot size is known to influence measures of species richness, its effect on our ability to predict species distribution ranges has not been tested. Our aim is to test whether the accuracy of the distribution maps produced depend on the size of the plot (quadrat) used to collect biological data in the field. In this study, the presences of four plant species were recorded in five sizes of circular plots, with radii ranging from 8 to 100 m. Logistic regression-based models were used to predict the distributions of the four plant species based on empirical evidence of their relationship with eight environmental predictors: distance to river, slope, aspect, altitude, and four principle component axes derived using reflectance values from Aster images. We found that plot size affected the probability of recording the four species, with reductions in plot size generally increasing the frequency of recorded absences. Plot size also significantly affected the likelihood of correctly predicting the distribution of species whenever plot size was below the minimum size required to consistently record species’ presence. Furthermore, the optimal plot size for fitting species distribution models varied among species. Finally, plot size had little impact on overall accuracy, but a strong, positive impact on Kappa accuracy (which provides a stronger measure of model accuracy by accounting for the effects of chance agreements between predictions and observations). Our results suggest that optimal plot size must be considered explicitly in the creation of species distribution models if they are to be successfully adopted into conservation efforts.
Starting Page	389
Ending Page	407
Page Count	19
File Format	PDF
ISSN	14355930
Journal	Journal of Geographical Systems
Volume Number	12
Issue Number	4
e-ISSN	14355949
Language	English
Publisher	Springer-Verlag
Publisher Date	2010-01-29
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Kappa Map accuracy Species distribution Logistic regression models Species frequency curve Namibia Simulation and Modeling Quantitative Geography Regional/Spatial Science Computer Application in Social and Behavioral Sciences Geographical Information Systems/Cartography Landscape/Regional and Urban Planning
Content Type	Text
Resource Type	Article
Subject	Earth-Surface Processes Geography, Planning and Development Economics and Econometrics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

An assessment of coefficient accuracy in linear regression models with spatially varying coefficients

Promoting species persistence through spatial association optimization in nature reserve design

Integrating the maximum capture problem into a GIS framework

Forecasting prices of single family homes using GIS-defined neighborhoods

Mental maps and travel behaviour: meanings and models

Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets

Surveying general prospects and challenges of GIS implementation in developing countries: a SWOT–AHP approach

Phase transitions and path dependence in urban evolution

A three-dimensional network-based space–time prism

Does plot size affect the performance of GIS-based species distribution models?

Similar Documents

An assessment of coefficient accuracy in linear regression models with spatially varying coefficients

Promoting species persistence through spatial association optimization in nature reserve design

Integrating the maximum capture problem into a GIS framework

Forecasting prices of single family homes using GIS-defined neighborhoods

Mental maps and travel behaviour: meanings and models

Smoothing/filtering LiDAR digital surface models. Experiments with loess regression and discrete wavelets

Surveying general prospects and challenges of GIS implementation in developing countries: a SWOT–AHP approach

Phase transitions and path dependence in urban evolution

A three-dimensional network-based space–time prism

Does plot size affect the performance of GIS-based species distribution models?