English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Few models exist to directly and quantitatively predict the effect of land-use on coastal water quality even though it is recognized that land-use is a major determinant of coastal water quality. Such models are needed because (1) land-use is a major source of nutrients transported to estuaries, (2) land-use integrates multiple factors that may determine the mean algal biomass and (3) land-use is more easily managed than single nutrients when nutrient sources are nonpoint Regression models accurately predict lake eutrophication as a funct~on of land-use. Similar models do not exist for estuaries. A data set was compiled for 15 estuanes in Pnnce Edward Island (PEI), Canada, that includes phytoplankton biomass as chlorophyll a (chl), total phosphorus (TP), total nitrogen (TN), estuary morphometry and land-use characteristics. A regression model predicting chl as a function of estuary volume and area of agriculture was developed. This model accounts for 68% of the variance in chl, a level similar to that of models based on TN (r2 = 0.72) or total phosphorus (r2 = 0.66). The estuary models based on land-use and total nutrients demonstrate low yields of chl when compared to analogous lake models; this low yield is likely attributable to high levels of herbivory by suspension feeding mussels. Despite these low yields, the pattern between chl and land-use is sufficiently accurate such that environmental managers can predict the effects of changing land-use on estuary water quality in PE1 with a known level of error.

Predicting coastal eutrophication from land-use:an empirical approach to small non-stratified estuaries