Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1016/j.ecolind.2025.114245 |
Lizenz  |
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| Titel (primär) | Drivers of remotely sensed tree height heterogeneity across spatial scales: Tree species diversity effects depend on local conditions and forest type |
| Autor | Rahmsdorf, E.
; Doktor, D.; Feilhauer, H.; Brede, B.; Dienstbach, L.; Eisenhauer, N.; Hildebrandt, A.; Rüger, N.; Lange, M. |
| Quelle | Ecological Indicators |
| Erscheinungsjahr | 2025 |
| Department | CHS; RS |
| Band/Volume | 179 |
| Seite von | art. 114245 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Daten-/Softwarelinks | https://doi.org/10.25829/NT8Q-YC45 |
| Supplements | https://ars.els-cdn.com/content/image/1-s2.0-S1470160X2501177X-mmc1.pdf |
| Keywords | Canopy height models; Temperate forest; Height heterogeneity; LiDAR; Tree species diversity |
| Abstract | Forests
with high structural complexity provide a variety of ecosystem functions
and services. They are further associated with greater ecosystem
stability. Area-wide canopy height models with high spatial resolution
are a powerful tool for deriving forest structural attributes. However,
the drivers of forest structural heterogeneity as captured by canopy
height models, such as tree height heterogeneity, are not fully
understood across spatial scales. Here, we analyzed the relationship of
tree species diversity and tree height heterogeneity (1) in a tree
diversity experiment, (2) among three forest inventory sites across
Germany and (3) on the German national scale. We show that the effect of
tree species diversity on tree height heterogeneity depends on the
spatial scale and local conditions. Depending on canopy height model
resolution, effects of topography, tree species composition and data
acquisition parameters of canopy height models have a larger influence
on tree height heterogeneity compared to tree species diversity.
Moreover, canopy cover fraction is highly correlated with height
heterogeneity. By combining our findings from different inventory sites
and examining national patterns, this study provides new insights for
the application and interpretation of remotely sensed forest
biodiversity indicators. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31437 |
| Rahmsdorf, E., Doktor, D., Feilhauer, H., Brede, B., Dienstbach, L., Eisenhauer, N., Hildebrandt, A., Rüger, N., Lange, M. (2025): Drivers of remotely sensed tree height heterogeneity across spatial scales: Tree species diversity effects depend on local conditions and forest type Ecol. Indic. 179 , art. 114245 10.1016/j.ecolind.2025.114245 |
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