Future Directions

Making informed decisions on preserving biodiversity and sustainable environments in spite of pollution, eutrophica-tion, and climate change is of vital importance for the habitat Earth in the twenty-first century. Ecological informatics is challenged to contribute ecological understanding and tools for integrating, analyzing, and synthesizing the wealth of ecological knowledge and data for making an informed decision at local, regional, and global scale.

It is anticipated that at the next stage ecological informatics will distinctively focus on: (1) integrated

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4

1

2 0

OR

(PO4-P < 306.68)

THEN

ELSE

r

Microcystis = (WT-p1)/Secchi

Microcystis = (Secch

* p2 - WT) * NO3-N

p1 = ln(WT/17.527)*(WT + 1.551)

p2 = WT

14.419

9.49 <= p1<= 15.82

324.43 <= p2 <= 563.91

100 50

Secchi: 0.27-0.64 m O NO3-N: 0.75-2.46 mg l-1 -WT: 22.59-25.57 °C

Figure 16 Structure and input sensitivity analysis of a rule-based agent for 7-day-ahead forecasting of Microcystis biomass discovered in merged time-series data of the South African lakes Hartbeespoort, Roodeplaat, and Rietvlei by HEA.

Lake

Microcystis pg l 1 — Measured — 7-Day-ahead forecast

Hartbeespoort (South Africa) 150 1991-2004

_ JL A^x A. PK A/V AjJLJA

Roodeplaat

(South Africa) 150 1991-2004

'—^—_____Ml

600 450

(South Africa) 1991-2004 150

. JL. ___ _Jl —. A- .

Figure 17 k-Fold cross-validation of a rule-based agent for 7-day-ahead forecasting of Microcystis biomass by means of merged time-series data of the South African lakes Hartbeespoort, Roodeplaat, and Rietvlei.

analysis of genomic, phenotypic, and ecological data in order to better understand biodiversity and ecosystem behavior in response to habitat and climate changes; (2) facilitating data sharing by www-based generic data warehouses tailored for ecosystem categories at global scale; and (3) implementing hybrid model libraries generic for ecosystem categories at global scale by object-oriented programming and interactive www-access.

See also: Artificial Neural Networks: Temporal Networks; Animal Defense Strategies; Evolutionary Algorithms; Multilayer Perceptron; Wireless Sensor Networks Enabling Ecoinformatics.

Project Earth Conservation

Project Earth Conservation

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