Resource selection function - Revision history

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← Previous revision		Revision as of 14:40, 25 May 2025
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	Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)		Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)

	Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170\|jstor=1937156\|url=http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1198&context=usgsnpwrc}}</ref>		Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170\|jstor=1937156\|url=http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1198&context=usgsnpwrc\|url-access=subscription}}</ref>
	* '''First order selection:''' The entire range of a species		* '''First order selection:''' The entire range of a species
	* '''Second order selection:''' The home range of an individual or group of animals		* '''Second order selection:''' The home range of an individual or group of animals

185.181.154.125 at 10:39, 2 February 2021

2021-02-02T10:39:15Z

← Previous revision		Revision as of 10:39, 2 February 2021
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	'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing ~~the~~ a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last1=Boyce\|first1=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>		'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last1=Boyce\|first1=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>

	== Modeling ==		== Modeling ==

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	== Modeling ==		== Modeling ==
	Resource Selection Functions require two types of data: location information for the wildlife in question, and data on the resources available across the study area. Resources can include a broad range of environmental and geographical variables, including categorical variables such as land cover type, or continuous variables such as average rainfall over a given time period. A variety of methods are used for modeling RSFs, with [[logistic regression]] being commonly used.<ref>{{Cite book\|url=https://books.google.com/books?id=rBXnBwAAQBAJ&pg=PR9~~#v=onepage~~\|title=Resource Selection by Animals: Statistical Design and Analysis for Field Studies\|last1=Manly\|first1=B. F.\|last2=McDonald\|first2=L.\|last3=Thomas\|first3=Dana\|last4=McDonald\|first4=Trent L.\|last5=Erickson\|first5=Wallace P.\|date=2007-05-08\|publisher=Springer Science & Business Media\|isbn=9780306481512\|language=en}}</ref>		Resource Selection Functions require two types of data: location information for the wildlife in question, and data on the resources available across the study area. Resources can include a broad range of environmental and geographical variables, including categorical variables such as land cover type, or continuous variables such as average rainfall over a given time period. A variety of methods are used for modeling RSFs, with [[logistic regression]] being commonly used.<ref>{{Cite book\|url=https://books.google.com/books?id=rBXnBwAAQBAJ&pg=PR9\|title=Resource Selection by Animals: Statistical Design and Analysis for Field Studies\|last1=Manly\|first1=B. F.\|last2=McDonald\|first2=L.\|last3=Thomas\|first3=Dana\|last4=McDonald\|first4=Trent L.\|last5=Erickson\|first5=Wallace P.\|date=2007-05-08\|publisher=Springer Science & Business Media\|isbn=9780306481512\|language=en}}</ref>

	RSFs can be fit to data where animal presence is known, but absence is not, such as for species where several individuals within a study area are fitted with a GPS collar, but some individuals may be present without collars.		RSFs can be fit to data where animal presence is known, but absence is not, such as for species where several individuals within a study area are fitted with a GPS collar, but some individuals may be present without collars.

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← Previous revision		Revision as of 22:48, 24 May 2020
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	'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing the a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|~~last~~=Boyce\|~~first~~=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>		'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing the a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last1=Boyce\|first1=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>

	== Modeling ==		== Modeling ==
	Resource Selection Functions require two types of data: location information for the wildlife in question, and data on the resources available across the study area. Resources can include a broad range of environmental and geographical variables, including categorical variables such as land cover type, or continuous variables such as average rainfall over a given time period. A variety of methods are used for modeling RSFs, with [[logistic regression]] being commonly used.<ref>{{Cite book\|url=https://books.google.com/?id=rBXnBwAAQBAJ&pg=PR9#v=onepage~~&q&f=false~~\|title=Resource Selection by Animals: Statistical Design and Analysis for Field Studies\|~~last~~=Manly\|~~first~~=B. F.\|last2=McDonald\|first2=L.\|last3=Thomas\|first3=Dana\|last4=McDonald\|first4=Trent L.\|last5=Erickson\|first5=Wallace P.\|date=2007-05-08\|publisher=Springer Science & Business Media\|isbn=9780306481512\|language=en}}</ref>		Resource Selection Functions require two types of data: location information for the wildlife in question, and data on the resources available across the study area. Resources can include a broad range of environmental and geographical variables, including categorical variables such as land cover type, or continuous variables such as average rainfall over a given time period. A variety of methods are used for modeling RSFs, with [[logistic regression]] being commonly used.<ref>{{Cite book\|url=https://books.google.com/books?id=rBXnBwAAQBAJ&pg=PR9#v=onepage\|title=Resource Selection by Animals: Statistical Design and Analysis for Field Studies\|last1=Manly\|first1=B. F.\|last2=McDonald\|first2=L.\|last3=Thomas\|first3=Dana\|last4=McDonald\|first4=Trent L.\|last5=Erickson\|first5=Wallace P.\|date=2007-05-08\|publisher=Springer Science & Business Media\|isbn=9780306481512\|language=en}}</ref>

	RSFs can be fit to data where animal presence is known, but absence is not, such as for species where several individuals within a study area are fitted with a GPS collar, but some individuals may be present without collars.		RSFs can be fit to data where animal presence is known, but absence is not, such as for species where several individuals within a study area are fitted with a GPS collar, but some individuals may be present without collars.
	When this is the case, buffers of various distances are generated around known presence points, with a number of available points generated within each buffer, which represent areas where the animal could have been, but it is unknown whether they actually were.<ref>{{Cite journal\|~~last~~=Johnson\|~~first~~=Chris J.\|last2=Nielsen\|first2=Scott E.\|last3=Merrill\|first3=Evelyn H.\|last4=Mcdonald\|first4=Trent L.\|last5=Boyce\|first5=Mark S.\|date=2006-04-01\|title=Resource Selection Functions Based on Use–Availability Data: Theoretical Motivation and Evaluation Methods\|journal=Journal of Wildlife Management\|volume=70\|issue=2\|pages=347–357\|doi=10.2193/0022-541X(2006)70[347:RSFBOU]2.0.CO;2\|issn=0022-541X}}</ref> These models can be fit using binomial generalized linear models or binomial generalized linear mixed models, with the resources, or environmental and geographic data, as explanatory variables.		When this is the case, buffers of various distances are generated around known presence points, with a number of available points generated within each buffer, which represent areas where the animal could have been, but it is unknown whether they actually were.<ref>{{Cite journal\|last1=Johnson\|first1=Chris J.\|last2=Nielsen\|first2=Scott E.\|last3=Merrill\|first3=Evelyn H.\|last4=Mcdonald\|first4=Trent L.\|last5=Boyce\|first5=Mark S.\|date=2006-04-01\|title=Resource Selection Functions Based on Use–Availability Data: Theoretical Motivation and Evaluation Methods\|journal=Journal of Wildlife Management\|volume=70\|issue=2\|pages=347–357\|doi=10.2193/0022-541X(2006)70[347:RSFBOU]2.0.CO;2\|issn=0022-541X}}</ref> These models can be fit using binomial generalized linear models or binomial generalized linear mixed models, with the resources, or environmental and geographic data, as explanatory variables.

	== Scale ==		== Scale ==

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← Previous revision		Revision as of 09:50, 6 September 2019
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	Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)		Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)

	Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170\|jstor=1937156}}</ref>		Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170\|jstor=1937156\|url=http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1198&context=usgsnpwrc}}</ref>
	* '''First order selection:''' The entire range of a species		* '''First order selection:''' The entire range of a species
	* '''Second order selection:''' The home range of an individual or group of animals		* '''Second order selection:''' The home range of an individual or group of animals

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← Previous revision		Revision as of 23:24, 18 February 2019
Line 1:		Line 1:
	'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing the a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last=Boyce\|first=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions~~\|url=http://www.sciencedirect.com/science/article/pii/S0304380002002004~~\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>		'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing the a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last=Boyce\|first=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>

	== Modeling ==		== Modeling ==

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← Previous revision		Revision as of 04:16, 8 September 2018
Line 1:		Line 1:
	'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing the a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last=Boyce\|first=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|url=http://www.sciencedirect.com/science/article/pii/S0304380002002004\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4}}</ref>		'''Resource selection functions''' (RSFs) are a class of functions that are used in [[spatial ecology]] to assess which habitat characteristics are important to a specific population or species of animal, by assessing the a probability of that animal using a certain resource proportional to the availability of that resource in the environment.<ref>{{Cite journal\|last=Boyce\|first=Mark S\|last2=Vernier\|first2=Pierre R\|last3=Nielsen\|first3=Scott E\|last4=Schmiegelow\|first4=Fiona K. A\|date=2002-11-30\|title=Evaluating resource selection functions\|url=http://www.sciencedirect.com/science/article/pii/S0304380002002004\|journal=Ecological Modelling\|volume=157\|issue=2–3\|pages=281–300\|doi=10.1016/S0304-3800(02)00200-4\|citeseerx=10.1.1.471.8823}}</ref>

	== Modeling ==		== Modeling ==
	Resource Selection Functions require two types of data: location information for the wildlife in question, and data on the resources available across the study area. Resources can include a broad range of environmental and geographical variables, including categorical variables such as land cover type, or continuous variables such as average rainfall over a given time period. A variety of methods are used for modeling RSFs, with [[logistic regression]] being commonly used.<ref>{{Cite book\|url=https://books.google.se/~~books~~?~~hl=en&lr=&~~id=rBXnBwAAQBAJ~~&oi=fnd~~&pg=PR9~~&ots=Q1JiZ199U-&sig=qTMhk5JvONGS0W-7_3IbWs3QGOU&redir_esc=y~~#v=onepage&q&f=false\|title=Resource Selection by Animals: Statistical Design and Analysis for Field Studies\|last=Manly\|first=B. F.\|last2=McDonald\|first2=L.\|last3=Thomas\|first3=Dana\|last4=McDonald\|first4=Trent L.\|last5=Erickson\|first5=Wallace P.\|date=2007-05-08\|publisher=Springer Science & Business Media\|isbn=9780306481512\|language=en}}</ref>		Resource Selection Functions require two types of data: location information for the wildlife in question, and data on the resources available across the study area. Resources can include a broad range of environmental and geographical variables, including categorical variables such as land cover type, or continuous variables such as average rainfall over a given time period. A variety of methods are used for modeling RSFs, with [[logistic regression]] being commonly used.<ref>{{Cite book\|url=https://books.google.com/?id=rBXnBwAAQBAJ&pg=PR9#v=onepage&q&f=false\|title=Resource Selection by Animals: Statistical Design and Analysis for Field Studies\|last=Manly\|first=B. F.\|last2=McDonald\|first2=L.\|last3=Thomas\|first3=Dana\|last4=McDonald\|first4=Trent L.\|last5=Erickson\|first5=Wallace P.\|date=2007-05-08\|publisher=Springer Science & Business Media\|isbn=9780306481512\|language=en}}</ref>

	RSFs can be fit to data where animal presence is known, but absence is not, such as for species where several individuals within a study area are fitted with a GPS collar, but some individuals may be present without collars.		RSFs can be fit to data where animal presence is known, but absence is not, such as for species where several individuals within a study area are fitted with a GPS collar, but some individuals may be present without collars.
	When this is the case, buffers of various distances are generated around known presence points, with a number of available points generated within each buffer, which represent areas where the animal could have been, but it is unknown whether they actually were.<ref>{{Cite journal\|last=Johnson\|first=Chris J.\|last2=Nielsen\|first2=Scott E.\|last3=Merrill\|first3=Evelyn H.\|last4=Mcdonald\|first4=Trent L.\|last5=Boyce\|first5=Mark S.\|date=2006-04-01\|title=Resource Selection Functions Based on Use–Availability Data: Theoretical Motivation and Evaluation Methods~~\|url=http://www.bioone.org/doi/abs/10.2193/0022-541X(2006)70%5B347:RSFBOU%5D2.0.CO;2~~\|journal=Journal of Wildlife Management\|volume=70\|issue=2\|pages=347–357\|doi=10.2193/0022-541X(2006)70[347:RSFBOU]2.0.CO;2\|issn=0022-541X}}</ref> These models can be fit using binomial generalized linear models or binomial generalized linear mixed models, with the resources, or environmental and geographic data, as explanatory variables.		When this is the case, buffers of various distances are generated around known presence points, with a number of available points generated within each buffer, which represent areas where the animal could have been, but it is unknown whether they actually were.<ref>{{Cite journal\|last=Johnson\|first=Chris J.\|last2=Nielsen\|first2=Scott E.\|last3=Merrill\|first3=Evelyn H.\|last4=Mcdonald\|first4=Trent L.\|last5=Boyce\|first5=Mark S.\|date=2006-04-01\|title=Resource Selection Functions Based on Use–Availability Data: Theoretical Motivation and Evaluation Methods\|journal=Journal of Wildlife Management\|volume=70\|issue=2\|pages=347–357\|doi=10.2193/0022-541X(2006)70[347:RSFBOU]2.0.CO;2\|issn=0022-541X}}</ref> These models can be fit using binomial generalized linear models or binomial generalized linear mixed models, with the resources, or environmental and geographic data, as explanatory variables.

	== Scale ==		== Scale ==
	Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)		Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)

	Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference~~\|url=http://onlinelibrary.wiley.com/doi/10.2307/1937156/abstract~~\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170}}</ref>		Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170\|jstor=1937156}}</ref>
	* '''First order selection:''' The entire range of a species		* '''First order selection:''' The entire range of a species
	* '''Second order selection:''' The home range of an individual or group of animals		* '''Second order selection:''' The home range of an individual or group of animals

67.215.45.88: /* Scale */

2018-08-01T21:08:15Z

Scale

← Previous revision		Revision as of 21:08, 1 August 2018
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	* '''Second order selection:''' The home range of an individual or group of animals		* '''Second order selection:''' The home range of an individual or group of animals
	* '''Third order selection:''' Resource or habitat usage within an individual's or group's home range		* '''Third order selection:''' Resource or habitat usage within an individual's or group's home range
	* '''~~Forth~~ order selection:''' The procurement of specific resources, such as food, at specific sites		* '''Fourth order selection:''' The procurement of specific resources, such as food, at specific sites

	== References ==		== References ==

82.1.122.99: /* Scale */ change duplicate "are" to "and"

2018-01-04T17:17:43Z

Scale: change duplicate "are" to "and"

← Previous revision		Revision as of 17:17, 4 January 2018
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	Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)		Resource selection functions can be modeled at a variety of spatial scales, depending on the species and the scientific question being studied. (insert one more sentence on scale)

	Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 ~~are~~ are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|url=http://onlinelibrary.wiley.com/doi/10.2307/1937156/abstract\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170}}</ref>		Most RSFs address one of the following scales, which were defined by Douglas Johnson in 1980 and are still used today:<ref>{{Cite journal\|last=Johnson\|first=Douglas H.\|date=1980-02-01\|title=The Comparison of Usage and Availability Measurements for Evaluating Resource Preference\|url=http://onlinelibrary.wiley.com/doi/10.2307/1937156/abstract\|journal=Ecology\|language=en\|volume=61\|issue=1\|pages=65–71\|doi=10.2307/1937156\|issn=1939-9170}}</ref>
	* '''First order selection:''' The entire range of a species		* '''First order selection:''' The entire range of a species
	* '''Second order selection:''' The home range of an individual or group of animals		* '''Second order selection:''' The home range of an individual or group of animals

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2017-12-28T07:17:45Z

added Category:Mathematical modeling using HotCat

← Previous revision		Revision as of 07:17, 28 December 2017
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	[[Category:Ecology]]		[[Category:Ecology]]
			[[Category:Mathematical modeling]]