#patchiness

Let’s Admire the Beauty with Pearl Radiance Anti-Pigmentation Face Cream   Ever thought, how plants provide an endless facility in our lives. Yes, they do, not because we are depending on the. It is nature who created us and holding the power to protect us. From the ancient era, people are using nature as ayurvedic treatment and we still following the legacy. Beauty comes from nature and nature is beauty but today, what are you doing to maintain your beauty. Nothing, I guess.

Pearl Radiance Anti-Pigmentation Face Cream is a unique solution for all your stubborn acne, marks, pigmentation, and patchy skin. It is a professionally made ayurvedic blend for all skin types.

Know It’s Uses Apply a dab on a clean face and massage well. Use clean hands to clean the face.

What are The Advantages A daily makeover moisturizer that provides tons of anti-aging benefits in just one. Pearl Radiance Anti-Pigmentation Face Cream is the result of years of hi-tech anti-aging research. This is specially formulated to fight numerous signs of aging. This lightweight face cream reduces the fine lines, wrinkles, age spots, uneven tone, uneven texture, dryness, dullness and the appearance of pores for beautiful and younger-looking skin. This anti-pigmentation face cream contains millions of benefits with its unique ingredients.

KUMARI or Aloe-Vera has anti-oxidant and nutritional qualities. It protects epithelial tissues and repairs and recovery of damaged skin. The anti-inflammatory property soothes & calms the skin. It is rich with essential amino acids that support skin proteins like collagen and elastin. It promotes cell turnover and renewal with Its potent anti-aging properties.

Neem or Margosa is an evergreen ayurvedic tree that helps in the renewal and healing of skin cells, and prevent pimples and breakouts. It reduces the appearance of redness, spots, and scars. High in crucial fatty acids and vitamins that smoothens wrinkles and fine lines.

Jojoba Oil is full of natural nutrients and anti-oxidants. It helps in pacify inflammation, reduce fine lines, switch acne breakouts, protect from environmental stressors and heal sunburn. It offers deep hydration and nourishment, allowing a healthy glow. Rich in dynamic vitamins and minerals. It helps slow down the signs of aging.

BADAM Oil penetrates the skin, deeply nourishes, repairs light wrinkles and fine lines. It deeply cleans and brings a soft dewy glow to the skin. It improves skin elasticity and suppleness.

Patterns in megafauna distribution are generally measured using photographic quadrats along a transect. The results were varied. Grassle et al. compared distribution among quadrats and found out that Ophiomusium lymani showed uniformity at low high densities but aggregation at low densities. Ophiophthalmus normani showed uniform distribution at small scales but random distribution at large scales. Echinus affinus and Phormosoma placenta aggregated. 

Macrofauna horizontal distribution points towards randomness, but because sampling efforts are low, non-random patterns cannot be detected. Macrofauna can also be disturbed by sampling with corers, and their distribution might be affected. Aggregation on the sediment surface can also be seen.

Meiofauna are less random at smaller scales and more random at larger scales. But as macrofauna, this result may be tampered with disturbance from sampling and low repetition of sampling.

Causes of patchiness

So far, the descriptive analysis of the Wave Glider observations provided value in my effort to refine our estimates of phytoplankton in the ocean. But what about the replicated Wave Glider observations that I raved about earlier? When do those come into play?

I applied an autospectral analysis to replicate Wave Glider observations. Briefly described, this analysis is used to measure the covariance between the original data set and a lagged duplicate data set (which is carried out after cleansing the data set by removing temporal trends and interpolating data over equally spaced sampling distances). This correlation indicates how similar one data point is to its neighbor. This process is replicated with each lag of the data set (over a set distance)  until the original and lagged data sets are no longer correlated; the distance at which the data sets are no longer correlated, as determined by a set threshold (dotted line below), is known as the “Decorrelation Length Scale” (DLS). 

This DLS distance gives a measure of spatial “patchiness” or variability of chlorophyll in the ocean. I applied this analysis to each Wave Glider transect across the variety of ecosystem types (Coastal Upwelling, Transition Zone, Equatorial Upwelling, and Oligotrophic). Means and standard deviations of the replicate patchiness measures (i.e. autospectra or DLS) indicated how patchiness varied among ecosystem types. Results demonstrated a decrease in patchiness with distance offshore, that corresponded nicely to an increase the the spatial scale of eddies.

So what does this all mean? Why would this measure of patchiness be of interest to an oceanographer?

Although Wave Gliders can collect similar types of data as ships at a fraction of the cost (and with virtually zero environmental impact), ship time is still necessary to carry experiments and make more complex measurements. Saying this, the high costs and environmental impacts of ships emphasize the need to spend time at sea efficiently. Therefore knowing when, where, and how frequently to sample is of high value to oceanographers.

The autospectral analysis above suggests that sampling distances of 4 to 7 Km in the coastal upwelling zone off of CA is adequate for capturing phytoplankton patchiness. This distance increases to 30 Km in offshore waters. However in the transition zone between these two regions, one must sample at a minimum of every 8 Km to have any hope of capturing the phytoplankton variability in this highly dynamic region! And let us not forget that none of this applies to the daily variations in phytoplankton, which would require virtual stationary sampling on the order of less than every 24 hours in high growth systems.

Furthermore, Wave Gliders can serve as a scouts that locate the optimal sampling region for a ship, while collecting a continuous record of the conditions in that region before the ship arrives and until after it departs.

With regards to my own research, I see Wave Gliders as the ultimate observer for those hard-to-get-to regions. This type of data is extremely valuable for ecosystem modelers who wish to check the consistency of their models, and even assimilate data into their models, for regions where little is known or observations are highly variable. 

Our cover of Yeng Constantino's ( @yengunplugged ) Pangarap Lang :) Created for my debut last 2007