* A paper co-authored by one or more of my students
Abstracts
Ecohydrology
of A Seasonal Cloud Forest in Dhofar: I Field Experiment
Anke Hildebrandt, Mohammed Al-Aufi, Mansoor Amerjeed, Mohammed Shammas,
and Elfatih A. B. Eltahir
Abstract: Here, we describe the ecohydrology of a semiarid broadleaf
deciduous forest in Dhofar (Oman). The forests are confined to a
coastal area (and surrounded by desert), where the summer wet season
is characterized by a persistent dense-cloud immersion. Using field
observations we show, how clouds render the ecosystem particularly
water conserving and therefore create a niche for a moist (woodland)
biome in a semiarid area: First, horizontal precipitation (collection
of cloud droplets on tree canopies) added valuable water in this
semiarid environment, such that 2-3 times as much water was received
below the canopy (net precipitation) compared to above the canopy
(rainfall). Second, high stemflow (about 30% to net precipitation)
led to concentrated water input around the stems. Third, transpiration
was suppressed during the cloudy summer season, which allowed for
storage of the received water. It was only used after the end of
the wet season and lasted for the following three months, which
roughly doubled the length of the growing season. Our results demonstrate
that cloud immersion may shape ecosystem hydrology in significant
ways, particularly in semiarid environments.
Ecohydrology
of a Seasonal Cloud Forest in Dhofar: II Role of Clouds, Soil Type,
and Rooting Depth in Tree-Grass Competition
Anke Hildebrandt and Elfatih A. B. Eltahir
Abstract: Using a dynamic vegetation model we investigate
the role of summer cloud immersion on performance of trees and grasses.
The predicted vegetation type depends on the assumed cloud cover
during the wet season, with forest predicted for 100% cloudiness
and grassland for clear sky. Clouds decrease available energy for
evapotranspiration during the moist season, thus increasing deep
infiltration and making more water available for tree transpiration
after the end of the monsoon. Deeper rooting depths are associated
with higher tree LAIs, and also increase competitiveness of trees
through resource portioning. An efficient rooting depth exists,
at which transpiration is maximized and all other fluxes in the
water balance are minimized. The efficient rooting depth is deeper
for coarse soils than for finer ones and deeper for dense cloud
cover as compared to light cloud cover. Cloud cover creates a favorable
seasonality in this ecosystem that is crucial for maintaining tree
vegetation.
A
Proposal for Water Pricing in Kuwait
Milan Milutinovic, Katharine Murtaugh and Elfatih A. B. Eltahir
Abstract: Kuwait is an arid country with limited
natural water resources. Yet water consumption per capita is around
450L/capita/day, which is much higher than in many other countries
in the world. Certainly one of the reasons for the high level of
consumption is the fact that even though water has a pricing schedule
in Kuwait, water bills are not collected efficiently. Consequently,
there is some amount of water that is being wasted. The main objective
of this paper is to study the potential impact of pricing as a tool
for managing water demand in Kuwait. Due to a lack of empirical
data regarding household consumption characteristics and price influences
on demand, a demand model for Kuwait could not be constructed directly.
Instead, water demand models described in the literature were adapted
to Kuwait. A pricing schedule is proposed that consists of a free
allowance followed by a constant water price. This proposal has
the following logic: if water is consumed reasonably, it should
be free. However, to limit over-consumption, water used beyond the
amount of the allowance should be priced. Our results indicate that
this pricing schedule would be efficient in reducing demand significantly.
The model results suggest that a price of $1/m3 for water use in
excess of a 150L/capita/day allowance would reduce the demand by
about one third, with a range between 20 and 40 percent depending
on the model used.