Kealohanuiopuna M. Kinney1, Gregory P. Asner1, James R. Kellner1, David E. Knapp1, Ty Kennedy-Bowdoin1, Erin J. Questad2, Susan Cordell2, and Jarrod M. Thaxton3. (1) Carnegie Institution for Science, (2) USDA Forest Service, (3) Universityof Puerto Rico
Background/Question/Methods
We used airborne imaging spectroscopy and LiDAR to quantify the
structure and condition of tropical dry forest in Hawaii dominated by
the endemic tree species Myoporum sandwicense and Sophora chyrsophylla
(MSDF). The study site provides critical habitat to the endangered
Hawaiian honeycreeper Loxoides bailleui, but little information is
available on the extent or condition of MSDF at regional scales. By
quantifying functional plant traits using remotely sensed data, and
modeling potential evaporative demands using three-dimensional
measurements from LiDAR, we show that the lateral distribution of
photosynthetic and nonphotosynthetic vegetation varies strongly across
this dry forest landscape.
Results/Conclusions
Most differences were expressions of elevation and volcanic substrate age.
Predicted solar insolation produced distinct patterns that were associated
with the composition of understory vegetation, suggesting that C4 grasses
preferentially occupy areas of reduced evaporative demand. In situ meteorological
measurements confirm increased soil moisture content facilitated by
dry forest trees. These findings contribute to ongoing management of
MSDF in Hawaii, and generate opportunities for adaptive management and
restoration in threatened dryland ecosystems in Hawaii.