@article {4818,
	title = {Cross-site comparisons of dryland ecosystem response to climate change in the US Long-Term Ecological Research Network},
	journal = {BioScience},
	year = {2022},
	month = {08/2022},
	abstract = {<p>Long-term observations and experiments in diverse drylands reveal how ecosystems and services are responding to climate change. To develop generalities about climate change impacts at dryland sites, we compared broadscale patterns in climate and synthesized primary production responses among the eight terrestrial, nonforested sites of the United States Long-Term Ecological Research (US LTER) Network located in temperate (Southwest and Midwest) and polar (Arctic and Antarctic) regions. All sites experienced warming in recent decades, whereas drought varied regionally with multidecadal phases. Multiple years of wet or dry conditions had larger effects than single years on primary production. Droughts, floods, and wildfires altered resource availability and restructured plant communities, with greater impacts on primary production than warming alone. During severe regional droughts, air pollution from wildfire and dust events peaked. Studies at US LTER drylands over more than 40 years demonstrate reciprocal links and feedbacks among dryland ecosystems, climate-driven disturbance events, and climate change.</p>},
	keywords = {LTER-MCM, ANPP, climate change, Disturbance, drought, LTER, wildfire},
	issn = {0006-3568},
	doi = {10.1093/biosci/biab134},
	url = {https://academic.oup.com/bioscience/advance-article/doi/10.1093/biosci/biab134/6654840},
	author = {Hudson, Amy R. and Debra P. C. Peters and J.M. Blair and Childers, Daniel L. and Peter T. Doran and Geil, Kerrie and Michael N. Gooseff and Gross, Katherine L. and Haddad, Nick M. and Pastore, Melissa A. and Rudgers, Jennifer A. and Osvaldo E. Sala and Seabloom, Eric W. and Shaver, Gaius}
}
@article {4589,
	title = {How long do population level field experiments need to be? Utilising data from the 40-year-old LTER network},
	journal = {Ecology Letters},
	year = {2021},
	month = {02/2021},
	abstract = {<p>We utilise the wealth of data accessible through the 40-year-old Long-Term Ecological Research (LTER) network to ask if aspects of the study environment or taxa alter the duration of research necessary to detect consistent results. To do this, we use a moving-window algorithm. We limit our analysis to long-term (\&gt; 10 year) press experiments recording organismal abundance. We find that studies conducted in dynamic abiotic environments need longer periods of study to reach consistent results, as compared to those conducted in more moderated environments. Studies of plants were more often characterised by spurious results than those on animals. Nearly half of the studies we investigated required 10 years or longer to become consistent, where all significant trends agreed in direction, and four studies (of 100) required longer than 20 years. Here, we champion the importance of long-term data and bolster the value of multi-decadal experiments in understanding, explaining and predicting long-term trends.</p>},
	keywords = {LTER-MCM, data mining, isothermality, long-term, moving window, population dynamics, time series, trajectory},
	doi = {10.1111/ele.13710},
	url = {https://onlinelibrary.wiley.com/doi/10.1111/ele.13710},
	author = {Cusser, Sarah and Helms, Jackson and Bahlai, Christie A. and Haddad, Nick M.}
}
