Rates and timing of chlorophyll-<i>a</i> increases and related environmental variables in global temperate and cold-temperate lakes
<p>Lakes are key ecosystems within the global biogeosphere. However, the environmental controls on the biological productivity of lakes – including surface temperature, ice phenology, nutrient loads, and mixing regime – are increasingly altered by climate warming and land-use changes. To bette...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-11-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/5139/2022/essd-14-5139-2022.pdf |
| Summary: | <p>Lakes are key ecosystems within the global biogeosphere. However, the
environmental controls on the biological productivity of lakes – including
surface temperature, ice phenology, nutrient loads, and mixing regime – are
increasingly altered by climate warming and land-use changes. To better
characterize global trends in lake productivity, we assembled a dataset on
chlorophyll-<span class="inline-formula"><i>a</i></span> concentrations as well as associated water quality parameters
and surface solar radiation for temperate and cold-temperate lakes
experiencing seasonal ice cover. We developed a method to identify periods
of rapid net increase of in situ chlorophyll-<span class="inline-formula"><i>a</i></span> concentrations from time series data
and applied it to data collected between 1964 and 2019 across 343 lakes
located north of 40<span class="inline-formula"><sup>∘</sup></span>. The data show that the spring
chlorophyll-<span class="inline-formula"><i>a</i></span> increase periods have been occurring earlier in the year,
potentially extending the growing season and increasing the annual
productivity of northern lakes. The dataset on chlorophyll-<span class="inline-formula"><i>a</i></span> increase rates
and timing can be used to analyze trends and patterns in lake productivity
across the northern hemisphere or at smaller, regional scales. We illustrate
some trends extracted from the dataset and encourage other researchers to
use the open dataset for their own research questions. The PCI dataset and additional data files can be openly accessed at the Federated Research Data Repository at <a href="https://doi.org/10.20383/102.0488">https://doi.org/10.20383/102.0488</a> (Adams et al., 2021).</p> |
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| ISSN: | 1866-3508 1866-3516 |