FIRST STEP IN DEVELOPMENT OF A QUADRAT-BASED PROTOCOL TO SAMPLE GOPHER TORTOISE (GOPHERUS POLYPHEMUS) BURROWS

I developed a preliminary quadrat-based protocol to survey low density populations of burrows of the Gopher Tortoise (Gopherus polyphemus) and applied the protocol in four upland habitats at Avon Park Air Force Range, Florida in 1997–98. I randomly selected and surveyed 55 1-ha plots in oak scrub, 2...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:Florida Scientist. - The Florida Academy of Sciences, Inc.. - 75(2012), 3, Seite 189-208
1. Verfasser: Kinlaw, Alton E. (VerfasserIn)
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2012
Zugriff auf das übergeordnete Werk:Florida Scientist
Schlagworte:Biological sciences Arts Physical sciences Mathematics
LEADER 01000caa a22002652 4500
001 JST111947863
003 DE-627
005 20240624225133.0
007 cr uuu---uuuuu
008 180604s2012 xx |||||o 00| ||eng c
035 |a (DE-627)JST111947863 
035 |a (JST)24322461 
040 |a DE-627  |b ger  |c DE-627  |e rakwb 
041 |a eng 
100 1 |a Kinlaw, Alton E.  |e verfasserin  |4 aut 
245 1 0 |a FIRST STEP IN DEVELOPMENT OF A QUADRAT-BASED PROTOCOL TO SAMPLE GOPHER TORTOISE (GOPHERUS POLYPHEMUS) BURROWS 
264 1 |c 2012 
336 |a Text  |b txt  |2 rdacontent 
337 |a Computermedien  |b c  |2 rdamedia 
338 |a Online-Ressource  |b cr  |2 rdacarrier 
520 |a I developed a preliminary quadrat-based protocol to survey low density populations of burrows of the Gopher Tortoise (Gopherus polyphemus) and applied the protocol in four upland habitats at Avon Park Air Force Range, Florida in 1997–98. I randomly selected and surveyed 55 1-ha plots in oak scrub, 23 in sand pine scrub, 53 in pine flatwoods, and 17 in oak hammock. Detection probability was maximized by using 10 transects and multiple observers at most quadrats. Oak scrub had the highest density of burrows per ha (1.47) and sand pine scrub had the lowest density (0.17). Spatial distribution of oak scrub burrows fit the negative binomial distribution. Likelihood ratio tests showed that the best model for all four habitats had a dispersion parameter (k) of the negative binomial that did not vary but did have a variable mean (m). This protocol is appropriate to survey low density populations of any object in situations where distance sampling could be inefficient, and can be improved by conducting double-observer surveys at a subset of quadrats to calibrate detection probability. This approach is supported by two subsequent studies that showed that distance sampling is not efficient in cases where densities of burrows are low and that quadrat sampling may offer advantages over other tortoise survey techniques. 
540 |a Copyright © Florida Academy of Sciences, Inc. 2012 
650 4 |a Biological sciences  |x Biology  |x Zoology  |x Animals  |x Reptiles  |x Tortoises 
650 4 |a Biological sciences  |x Ecology  |x Population ecology  |x Synecology  |x Habitats 
650 4 |a Biological sciences  |x Biology  |x Conservation biology  |x Conservation agriculture  |x Habitat conservation 
650 4 |a Biological sciences  |x Biology  |x Botany  |x Plant ecology  |x Vegetation 
650 4 |a Arts  |x Applied arts  |x Decorative arts  |x Furniture  |x Beds  |x Hammocks 
650 4 |a Biological sciences  |x Wildlife studies  |x Wildlife management  |x Wildlife conservation 
650 4 |a Physical sciences  |x Earth sciences  |x Geography  |x Geomorphology  |x Topography  |x Highlands 
650 4 |a Mathematics  |x Pure mathematics  |x Algebra  |x Polynomials  |x Binomials  |x Binomial distributions 
650 4 |a Mathematics  |x Pure mathematics  |x Algebra  |x Polynomials  |x Binomials 
650 4 |a Biological sciences  |x Ecology  |x Wildlife ecology 
655 4 |a research-article 
773 0 8 |i Enthalten in  |t Florida Scientist  |d The Florida Academy of Sciences, Inc.  |g 75(2012), 3, Seite 189-208  |w (DE-627)1007219114  |w (DE-600)2913613-1  |x 00984590  |7 nnns 
773 1 8 |g volume:75  |g year:2012  |g number:3  |g pages:189-208 
856 4 0 |u https://www.jstor.org/stable/24322461  |3 Volltext 
912 |a GBV_USEFLAG_A 
912 |a SYSFLAG_A 
912 |a GBV_JST 
912 |a GBV_ILN_11 
912 |a GBV_ILN_20 
912 |a GBV_ILN_22 
912 |a GBV_ILN_24 
912 |a GBV_ILN_31 
912 |a GBV_ILN_39 
912 |a GBV_ILN_40 
912 |a GBV_ILN_60 
912 |a GBV_ILN_62 
912 |a GBV_ILN_63 
912 |a GBV_ILN_65 
912 |a GBV_ILN_70 
912 |a GBV_ILN_100 
912 |a GBV_ILN_101 
912 |a GBV_ILN_110 
912 |a GBV_ILN_206 
912 |a GBV_ILN_285 
912 |a GBV_ILN_374 
912 |a GBV_ILN_2001 
912 |a GBV_ILN_2003 
912 |a GBV_ILN_2005 
912 |a GBV_ILN_2006 
912 |a GBV_ILN_2008 
912 |a GBV_ILN_2009 
912 |a GBV_ILN_2010 
912 |a GBV_ILN_2011 
912 |a GBV_ILN_2014 
912 |a GBV_ILN_2015 
912 |a GBV_ILN_2018 
912 |a GBV_ILN_2020 
912 |a GBV_ILN_2021 
912 |a GBV_ILN_2026 
912 |a GBV_ILN_2027 
912 |a GBV_ILN_2044 
912 |a GBV_ILN_2050 
912 |a GBV_ILN_2055 
912 |a GBV_ILN_2056 
912 |a GBV_ILN_2057 
912 |a GBV_ILN_2061 
912 |a GBV_ILN_2107 
912 |a GBV_ILN_2111 
912 |a GBV_ILN_2949 
912 |a GBV_ILN_2950 
912 |a GBV_ILN_4012 
912 |a GBV_ILN_4035 
912 |a GBV_ILN_4037 
912 |a GBV_ILN_4046 
912 |a GBV_ILN_4112 
912 |a GBV_ILN_4242 
912 |a GBV_ILN_4251 
912 |a GBV_ILN_4305 
912 |a GBV_ILN_4307 
912 |a GBV_ILN_4323 
912 |a GBV_ILN_4325 
912 |a GBV_ILN_4335 
912 |a GBV_ILN_4346 
912 |a GBV_ILN_4393 
951 |a AR 
952 |d 75  |j 2012  |e 3  |h 189-208