000 | 04227nam a22005655i 4500 | ||
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001 | 978-3-319-09608-7 | ||
003 | DE-He213 | ||
005 | 20160405110601.0 | ||
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008 | 141001s2014 gw | s |||| 0|eng d | ||
020 |
_a9783319096087 _9978-3-319-09608-7 |
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024 | 7 |
_a10.1007/978-3-319-09608-7 _2doi |
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050 | 4 | _aQH75-77 | |
072 | 7 |
_aRNK _2bicssc |
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072 | 7 |
_aNAT011000 _2bisacsh |
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082 | 0 | 4 |
_a577 _223 |
100 | 1 |
_aKeller, Jeffrey K. _eauthor. |
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245 | 1 | 0 |
_aImproving GIS-based Wildlife-Habitat Analysis _h[electronic resource] / _cby Jeffrey K. Keller, Charles R. Smith. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2014. |
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300 |
_aXIII, 132 p. 14 illus., 6 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Ecology, _x2192-4759 |
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505 | 0 | _aChapter 1. Working Definitions -- Chapter 2. Image Resolution vs. Habitat Selection Scale in a Remote Sensing Context -- Chapter 3. Explanatory Variables -- Chapter 4. Landscape Sampling Area vs. Actual Location of Taxonomic Survey -- Chapter 5. Refining Habitat Specificity -- Chapter 6. Example Using High-resolution Imagery and Taxon-specific Variables. | |
520 | _aGeographic Information Systems (GIS) provide a powerful tool for the investigation of species-habitat relationships and the development of wildlife management and conservation programs. However, the relative ease of data manipulation and analysis using GIS, associated landscape metrics packages, and sophisticated statistical tests may sometimes cause investigators to overlook important species-habitat functional relationships. Additionally, underlying assumptions of the study design or technology may have unrecognized consequences. This volume examines how initial researcher choices of image resolution, scale(s) of analysis, response and explanatory variables, and location and area of samples can influence analysis results, interpretation, predictive capability, and study-derived management prescriptions. Overall, most studies in this realm employ relatively low resolution imagery that allows neither identification nor accurate classification of habitat components. Additionally, the landscape metrics typically employed do not adequately quantify component spatial arrangement associated with species occupation. To address this latter issue, the authors introduce two novel landscape metrics that measure the functional size and location in the landscape of taxon-specific ‘solid’ and ‘edge’ habitat types. Keller and Smith conclude that investigators conducting GIS-based analyses of species-habitat relationships should more carefully 1) match the resolution of remotely sensed imagery to the scale of habitat functional relationships of the focal taxon, 2) identify attributes (explanatory variables) of habitat architecture, size, configuration, quality, and context that reflect the way the focal taxon uses the subset of the landscape it occupies, and 3) match the location and scale of habitat samples, whether GIS- or ground-based, to corresponding species’ detection locations and scales of habitat use. | ||
650 | 0 | _aLife sciences. | |
650 | 0 | _aGeographical information systems. | |
650 | 0 | _aRemote sensing. | |
650 | 0 | _aEcosystems. | |
650 | 0 | _aConservation biology. | |
650 | 0 | _aEcology. | |
650 | 0 | _aNature conservation. | |
650 | 1 | 4 | _aLife Sciences. |
650 | 2 | 4 | _aConservation Biology/Ecology. |
650 | 2 | 4 | _aGeographical Information Systems/Cartography. |
650 | 2 | 4 | _aEcosystems. |
650 | 2 | 4 | _aNature Conservation. |
650 | 2 | 4 | _aAnimal Systematics/Taxonomy/Biogeography. |
650 | 2 | 4 | _aRemote Sensing/Photogrammetry. |
700 | 1 |
_aSmith, Charles R. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319096070 |
830 | 0 |
_aSpringerBriefs in Ecology, _x2192-4759 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-09608-7 |
912 | _aZDB-2-SBL | ||
999 |
_c2937 _d2937 |