Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China

Uncertainty in the location of in situ wildlife observations may impair the performance of habitat models based on those observations. In this thesis, I explore the effects of location uncertainty on inference in species-habitat models using a simulation approach to propagate uncertainty in habitat...

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Bibliographic Details
Main Author: Kwaiser, Kyle
Other Authors: Brown, Daniel, Bergen, Kathleen
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/2027.42/63510
id ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/63510
record_format openpolar
spelling ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/63510 2024-01-07T09:42:52+01:00 Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China Kwaiser, Kyle Brown, Daniel Bergen, Kathleen 2009-08 8809472 bytes application/msword https://hdl.handle.net/2027.42/63510 en_US eng https://hdl.handle.net/2027.42/63510 kkwaiser Habitat Models Poyang Lake China Tundra Sawn Wetland Vegetation Thesis 2009 ftumdeepblue 2023-12-10T17:55:27Z Uncertainty in the location of in situ wildlife observations may impair the performance of habitat models based on those observations. In this thesis, I explore the effects of location uncertainty on inference in species-habitat models using a simulation approach to propagate uncertainty in habitat models and quantify its effects. Using a point survey of overwintering migratory birds at Poyang Lake, China, I applied Monte Carlo methods to characterize the uncertainty that results when the observer locations and species abundances are known, but the specific directions and distances of the observations (i.e. the specific location of the observed landscape) are unknown. Habitat models of a tuber-feeding swan (tundra swan; Cygnus columbianus) indicated that the abundance of this species increased with the amount of shallow water, a land-cover class likely to contain submerged aquatic vegetation communities; and that of a grazing goose (white-fronted goose; Anser albifrons albifrons) increased with the amount of sparse live wetland vegetation, a land-cover class found in the transition space between mudflats and perennial wetland vegetation. The incorporation of location uncertainty into the habitat models of tundra swans produced uncertainties in the inferred relationship to shallow water, as indicated by changes from positive to negative parameter coefficient estimates, in 15% of simulated models while the relationship between white-fronted goose abundance and sparse live wetland vegetation was positive for 98% of model runs. The causes of these changes in inference were highly dependent on landscape configurations and therefore difficult to predict or generalize. I found that fixed-radius models (i.e., models constructed assuming that the observed area was a uniform-sized circular area around each sample point) were consistent in terms of direction of effects with the simulation results but should be used with caution when interpreting the strength of the species-habitat relationship from these models due to high ... Thesis Cygnus columbianus Tundra Tundra Swan University of Michigan: Deep Blue
institution Open Polar
collection University of Michigan: Deep Blue
op_collection_id ftumdeepblue
language English
topic Habitat Models
Poyang Lake
China
Tundra Sawn
Wetland Vegetation
spellingShingle Habitat Models
Poyang Lake
China
Tundra Sawn
Wetland Vegetation
Kwaiser, Kyle
Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China
topic_facet Habitat Models
Poyang Lake
China
Tundra Sawn
Wetland Vegetation
description Uncertainty in the location of in situ wildlife observations may impair the performance of habitat models based on those observations. In this thesis, I explore the effects of location uncertainty on inference in species-habitat models using a simulation approach to propagate uncertainty in habitat models and quantify its effects. Using a point survey of overwintering migratory birds at Poyang Lake, China, I applied Monte Carlo methods to characterize the uncertainty that results when the observer locations and species abundances are known, but the specific directions and distances of the observations (i.e. the specific location of the observed landscape) are unknown. Habitat models of a tuber-feeding swan (tundra swan; Cygnus columbianus) indicated that the abundance of this species increased with the amount of shallow water, a land-cover class likely to contain submerged aquatic vegetation communities; and that of a grazing goose (white-fronted goose; Anser albifrons albifrons) increased with the amount of sparse live wetland vegetation, a land-cover class found in the transition space between mudflats and perennial wetland vegetation. The incorporation of location uncertainty into the habitat models of tundra swans produced uncertainties in the inferred relationship to shallow water, as indicated by changes from positive to negative parameter coefficient estimates, in 15% of simulated models while the relationship between white-fronted goose abundance and sparse live wetland vegetation was positive for 98% of model runs. The causes of these changes in inference were highly dependent on landscape configurations and therefore difficult to predict or generalize. I found that fixed-radius models (i.e., models constructed assuming that the observed area was a uniform-sized circular area around each sample point) were consistent in terms of direction of effects with the simulation results but should be used with caution when interpreting the strength of the species-habitat relationship from these models due to high ...
author2 Brown, Daniel
Bergen, Kathleen
format Thesis
author Kwaiser, Kyle
author_facet Kwaiser, Kyle
author_sort Kwaiser, Kyle
title Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China
title_short Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China
title_full Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China
title_fullStr Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China
title_full_unstemmed Accounting for observation uncertainty in species-habitat models: A case study using bird survey data from Poyang Lake, China
title_sort accounting for observation uncertainty in species-habitat models: a case study using bird survey data from poyang lake, china
publishDate 2009
url https://hdl.handle.net/2027.42/63510
genre Cygnus columbianus
Tundra
Tundra Swan
genre_facet Cygnus columbianus
Tundra
Tundra Swan
op_relation https://hdl.handle.net/2027.42/63510
kkwaiser
_version_ 1787424127305383936