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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04036naa a2200385 4500 | |
| 001 | oai:slubar.slu.se:66584 | |
| 003 | SwePub | |
| 008 | 240410s2015 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://res.slu.se/id/publ/665842 URI |
| 024 | 7 | a https://doi.org/10.3390/rs704042332 DOI |
| 040 | a (SwePub)slu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a art2 swepub-publicationtype |
| 100 | 1 | a Lindberg, Evau Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för skoglig resurshushållning,Department of Forest Resource Management,Vienna University of Technology (TU Wien)4 aut0 (Swepub:slu)47316 |
| 245 | 1 0 | a Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images Be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest? |
| 264 | c 2015-04-09 | |
| 264 | 1 | b MDPI AG,c 2015 |
| 264 | 1 | b MDPI,c 2024 |
| 520 | a In managed landscapes, conservation planning requires effective methods to identify high-biodiversity areas. The objective of this study was to evaluate the potential of airborne laser scanning (ALS) and forest estimates derived from satellite images extracted at two spatial scales for predicting the stand-scale abundance and species richness of birds and beetles in a managed boreal forest landscape. Multiple regression models based on forest data from a 50-m radius (i.e., corresponding to a homogenous forest stand) had better explanatory power than those based on a 200-m radius (i.e., including also parts of adjacent stands). Bird abundance and species richness were best explained by the ALS variables "maximum vegetation height" and "vegetation cover between 0.5 and 3 m" (both positive). Flying beetle abundance and species richness, as well as epigaeic (i.e., ground-living) beetle richness were best explained by a model including the ALS variable "maximum vegetation height" (positive) and the satellite-derived variable "proportion of pine" (negative). Epigaeic beetle abundance was best explained by "maximum vegetation height" at 50 m (positive) and "stem volume" at 200 m (positive). Our results show that forest estimates derived from satellite images and ALS data provide complementary information for explaining forest biodiversity patterns. We conclude that these types of remote sensing data may provide an efficient tool for conservation planning in managed boreal landscapes. | |
| 650 | 7 | a LANTBRUKSVETENSKAPERx Lantbruksvetenskap, skogsbruk och fiskex Skogsvetenskap0 (SwePub)401042 hsv//swe |
| 650 | 7 | a AGRICULTURAL SCIENCESx Agriculture, Forestry and Fisheriesx Forest Science0 (SwePub)401042 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Biologix Ekologi0 (SwePub)106112 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Biological Sciencesx Ecology0 (SwePub)106112 hsv//eng |
| 700 | 1 | a Roberge, Jean-Michelu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies4 aut0 (Swepub:slu)46712 |
| 700 | 1 | a Löfroth, Thereseu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies4 aut0 (Swepub:slu)49684 |
| 700 | 1 | a Hjältén, Joakimu Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vilt, fisk och miljö,Department of Wildlife, Fish and Environmental Studies4 aut0 (Swepub:slu)48313 |
| 710 | 2 | a Sveriges lantbruksuniversitetb Institutionen för skoglig resurshushållning4 org |
| 710 | 2 | a Sveriges lantbruksuniversitet |
| 773 | 0 | t Remote Sensingd : MDPI AGg 7, s. 4233-4252q 7<4233-4252x 2072-4292 |
| 856 | 4 | u https://pub.epsilon.slu.se/id/eprint/23361/contentsx primaryx Raw objectx freey FULLTEXT |
| 856 | 4 | u https://www.mdpi.com/2072-4292/7/4/4233/pdf |
| 856 | 4 8 | u https://res.slu.se/id/publ/66584 |
| 856 | 4 8 | u https://doi.org/10.3390/rs70404233 |
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