@article {6109,
	title = {Nutrients and herbivores impact grassland stability across spatial scales through different pathways},
	journal = {28},
	volume = {8},
	year = {2022},
	pages = {2678-2688},
	abstract = {<p>Nutrients and herbivores are well-known drivers of grassland diversity and stability in local communities. However, whether they interact to impact the stability of aboveground biomass and whether these effects depend on spatial scales remain unknown. It is also unclear whether nutrients and herbivores impact stability via different facets of plant diversity including species richness, evenness, and changes in community composition through time and space. We used a replicated experiment adding nutrients and excluding herbivores for 5 years in 34 global grasslands to explore these questions. We found that both nutrient addition and herbivore exclusion alone reduced stability at the larger spatial scale (aggregated local communities; gamma stability), but through different pathways. Nutrient addition reduced gamma stability primarily by increasing changes in local community composition over time, which was mainly driven by species replacement. Herbivore exclusion reduced gamma stability primarily by decreasing asynchronous dynamics among local communities (spatial asynchrony). Their interaction weakly increased gamma stability by increasing spatial asynchrony. Our findings indicate that disentangling the processes operating at different spatial scales may improve conservation and management aiming at maintaining the ability of ecosystems to reliably provide functions and services for humanity.</p>},
	keywords = {LTER-KNZ},
	doi = {10.1111/gcb.16086},
	url = {https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.16086},
	author = {Chen, Qingqing and Wang, Shaopeng and Seabloom, E.W. and MacDougall, A.S. and Borer, E.T. and Bakker, Jonathan D. and Donohue, Ian. and Knops, J.M.H. and Morgan, J.W. and Carroll, Oliver. and Crawley, M. and Bugalho, M.N. and Power, S.A. and Eskelinen, A. and Virtanen, R.}
}
@article {KNZ002042,
	title = {Nutrients cause grassland biomass to outpace herbivory},
	journal = {Nature Communications},
	volume = {11},
	year = {2020},
	pages = {6036},
	keywords = {LTER-KNZ},
	doi = {10.1038/s41467-020-19870-y},
	url = {http://www.nature.com/articles/s41467-020-19870-y},
	author = {Borer, E. T. and Harpole, W. S. and Adler, P. B. and Arnillas, C. A. and Bugalho, M. N. and Cadotte, M. W. and Caldeira, M. C. and Campana, S. and Dickman, C. R. and Dickson, T. L. and Donohue, I. and Eskelinen, A. and Firn, J. L. and Graff, P. and Gruner, D. S. and Heckman, R. W. and Koltz, A. M. and Kimberly J. Komatsu and Lannes, L. S. and MacDougall, A. S. and Martina, J. P. and Moore, J. L. and Mortensen, B. and Ochoa-Hueso, R. and Olde Venterink, H. and Power, S. A. and Price, J. N. and Risch, A. C. and Sankaran, M. and sch{\"u}tz, M. and Sitters, J. and Stevens, C. J. and Virtanen, R. and Wilfahrt, P. A. and Seabloom, E. W.}
}
@article {KNZ001985,
	title = {Soil net nitrogen mineralisation across global grasslands},
	journal = {Nature Communications},
	volume = {10},
	year = {2019},
	abstract = {<p>Soil nitrogen mineralisation (Nmin), the conversion of organic into inorganic N, is important for productivity and nutrient cycling. The balance between mineralisation and immobilisation (net Nmin) varies with soil properties and climate. However, because most global-scale assessments of net Nmin are laboratory-based, its regulation under field-conditions and implications for real-world soil functioning remain uncertain. Here, we explore the drivers of realised (field) and potential (laboratory) soil net Nmin across 30 grasslands worldwide. We find that realised Nmin is largely explained by temperature of the wettest quarter, microbial biomass, clay content and bulk density. Potential Nmin only weakly correlates with realised Nmin, but contributes to explain realised net Nmin when combined with soil and climatic variables. We provide novel insights of global realised soil net Nmin and show that potential soil net Nmin data available in the literature could be parameterised with soil and climate data to better predict realised Nmin.</p>},
	keywords = {LTER-KNZ},
	doi = {10.1038/s41467-019-12948-2},
	url = {http://www.nature.com/articles/s41467-019-12948-2},
	author = {Risch, A.C. and Zimmermann, S. and Ochoa-Hueso, R. and sch{\"u}tz, M. and Frey, B. and Firn, J. L. and Fay, P. A. and Hagedorn, F. and E.T. Borer and Seabloom, E. W. and Harpole, W. S. and Knops, J. M. H. and McCulley, R. L. and Broadbent, A. A. D. and Stevens, C. J. and Silveira, M. L. and P. Adler and B{\'a}ez, S. and L.A. Biederman and John M. Blair and Brown, C. S. and Caldeira, M. C. and Scott. L. Collins and Daleo, P. and di Virgilio, A. and Ebeling, A. and Eisenhauer, N. and Esch, E. and Eskelinen, A. and Hagenah, N. and Hautier, Y. and Kirkman, K. P. and MacDougall, A. S. and Joslin L. Moore and Power, S. A. and Prober, S. M. and Roscher, C. and Sankaran, M. and Siebert, J. and Speziale, K. L. and Tognetti, P. M. and Virtanen, R. and Yahdjian, L. and Moser, B.}
}
