00605nas a2200181 4500008004100000245008700041210006900128300001400197490000700211100002500218700001900243700001600262700002500278700002700303700001500330700002000345856005800365 2022 eng d00aPrecipitation effects on nematode diversity and carbon footprint across grasslands0 aPrecipitation effects on nematode diversity and carbon footprint a2124-21320 v281 aFranco, André, L.C.1 aGuan, Pingting1 aCui, Shuyan1 aTomasel, Cecilia, M.1 aGherardi, Laureano, A.1 aSala, O.E.1 aWall, Diana, H. uhttps://onlinelibrary.wiley.com/doi/10.1111/gcb.1605500652nas a2200205 4500008004100000245009900041210006900140300001400209490000800223100001700231700001900248700001600267700001900283700002100302700002000323700001700343700001500360700001500375856005600390 2020 eng d00aEcto- and endoparasitic nematodes respond differently across sites to changes in precipitation0 aEcto and endoparasitic nematodes respond differently across site a761 - 7710 v1931 aAnkrom, K.E.1 aFranco, andré1 aFonte, S.J.1 aGherardi, L.A.1 ade Tomasel, C.M.1 aAndriuzzi, W.S.1 aShaw, E., A.1 aSala, O.E.1 aWall, D.H. uhttp://link.springer.com/10.1007/s00442-020-04708-700664nas a2200205 4500008004100000245010500041210006900146300001800215490000800233100001900241700001900260700002100279700002000300700001700320700001700337700001500354700001500369700001500384856005900399 2019 eng d00aDrought suppresses soil predators and promotes root herbivores in mesic, but not in xeric grasslands0 aDrought suppresses soil predators and promotes root herbivores i a12883 - 128880 v1161 aFranco, andré1 aGherardi, L.A.1 ade Tomasel, C.M.1 aAndriuzzi, W.S.1 aAnkrom, K.E.1 aShaw, E., A.1 aBach, E.M.1 aSala, O.E.1 aWall, D.H. uhttp://www.pnas.org/lookup/doi/10.1073/pnas.190057211604634nas a2201021 4500008004100000245011700041210006900158300001600227490000800243520186900251100002602120700001702146700002402163700001902187700001702206700002602223700002302249700001802272700001702290700002202307700001902329700001402348700001502362700002402377700001402401700002202415700001702437700002002454700001802474700001702492700002102509700002802530700001702558700002402575700002202599700002602621700002102647700001802668700002402686700002402710700001102734700001902745700001902764700001502783700001402798700001402812700001802826700001202844700001602856700001902872700001902891700001602910700001902926700002002945700002002965700002202985700001103007700001403018700001903032700002403051700002303075700001703098700002503115700001903140700001803159700002003177700001603197700002403213700001803237700001503255700001903270700001603289700003203305700001603337700001703353700001703370700001603387700001803403700001703421700001903438700001403457700001503471700001703486700001103503700001903514700001803533856006103551 2019 eng d00aGlobal change effects on plant communities are magnified by time and the number of global change factors imposed0 aGlobal change effects on plant communities are magnified by time a17867-178730 v1163 a
Global change drivers (GCDs) are expected to alter community structure and consequently, the services that ecosystems provide. Yet, few experimental investigations have examined effects of GCDs on plant community structure across multiple ecosystem types, and those that do exist present conflicting patterns. In an unprecedented global synthesis of over 100 experiments that manipulated factors linked to GCDs, we show that herbaceous plant community responses depend on experimental manipulation length and number of factors manipulated. We found that plant communities are fairly resistant to experimentally manipulated GCDs in the short term (<10 y). In contrast, long-term (≥10 y) experiments show increasing community divergence of treatments from control conditions. Surprisingly, these community responses occurred with similar frequency across the GCD types manipulated in our database. However, community responses were more common when 3 or more GCDs were simultaneously manipulated, suggesting the emergence of additive or synergistic effects of multiple drivers, particularly over long time periods. In half of the cases, GCD manipulations caused a difference in community composition without a corresponding species richness difference, indicating that species reordering or replacement is an important mechanism of community responses to GCDs and should be given greater consideration when examining consequences of GCDs for the biodiversity–ecosystem function relationship. Human activities are currently driving unparalleled global changes worldwide. Our analyses provide the most comprehensive evidence to date that these human activities may have widespread impacts on plant community composition globally, which will increase in frequency over time and be greater in areas where communities face multiple GCDs simultaneously.
1 aKomatsu, Kimberly, J.1 aAvolio, M.L.1 aLemoine, Nathan, P.1 aIsbell, Forest1 aGrman, Emily1 aHouseman, Gregory, R.1 aKoerner, Sally, E.1 aJohnson, D.S.1 aWilcox, K.R.1 aAlatalo, Juha, M.1 aAnderson, J.P.1 aAerts, R.1 aBaer, S.G.1 aBaldwin, Andrew, H.1 aBates, J.1 aBeierkuhnlein, C.1 aBelote, R.T.1 aBlair, John, M.1 aBloor, J.M.G.1 aBohlen, P.J.1 aBork, Edward, W.1 aBoughton, Elizabeth, H.1 aBowman, W.D.1 aBritton, Andrea, J.1 aCahill, James, F.1 aChaneton, Enrique, J.1 aChiariello, N.R.1 aCheng, Jimin.1 aCollins, Scott., L.1 aCornelissen, J.H.C.1 aDu, G.1 aEskelinen, Anu1 aFirn, Jennifer1 aFoster, B.1 aGough, L.1 aGross, K.1 aHallett, L.M.1 aHan, X.1 aHarmens, H.1 aHovenden, M.J.1 aJagerbrand, A.1 aJentsch, A.1 aKern, Christel1 aKlanderud, Kari1 aKnapp, Alan, K.1 aKreyling, Juergen1 aLi, W.1 aLuo, Yiqi1 aMcCulley, R.L.1 aMcLaren, Jennie, R.1 aMegonigal, Patrick1 aMorgan, J.W.1 aOnipchenko, Vladimir1 aPennings, S.C.1 aPrevéy, J.S.1 aPrice, Jodi, N.1 aReich, P.B.1 aRobinson, Clare, H.1 aRussell, L.F.1 aSala, O.E.1 aSeabloom, E.W.1 aSmith, M.D.1 aSoudzilovskaia, Nadejda, A.1 aSouza, Lara1 aSuding, K.N.1 aSuttle, B.K.1 aSvejcar, T.1 aTilman, David1 aTognetti, P.1 aTurkington, R.1 aWhite, S.1 aXu, Zhuwen1 aYahdjian, L.1 aYu, Q.1 aZhang, Pengfei1 aZhang, Yunhai uhttps://www.pnas.org/content/early/2019/08/14/181902711603239nas a2200313 4500008004100000245011900041210006900160300001400229490000700243520231400250100002002564700001702584700001402601700002002615700002402635700001602659700001702675700002402692700001702716700001602733700001502749700001902764700001502783700001502798700001702813700001702830700001602847856006202863 2017 eng d00aPushing precipitation to the extremes in distributed experiments: recommendations for simulating wet and dry years0 aPushing precipitation to the extremes in distributed experiments a1774-17820 v233 aIntensification of the global hydrological cycle, ranging from larger individual precipitation events to more extreme multiyear droughts, has the potential to cause widespread alterations in ecosystem structure and function. With evidence that the incidence of extreme precipitation years (defined statistically from historical precipitation records) is increasing, there is a clear need to identify ecosystems that are most vulnerable to these changes and understand why some ecosystems are more sensitive to extremes than others. To date, opportunistic studies of naturally occurring extreme precipitation years, combined with results from a relatively small number of experiments, have provided limited mechanistic understanding of differences in ecosystem sensitivity, suggesting that new approaches are needed. Coordinated distributed experiments (CDEs) arrayed across multiple ecosystem types and focused on water can enhance our understanding of differential ecosystem sensitivity to precipitation extremes, but there are many design challenges to overcome (e.g., cost, comparability, standardization). Here, we evaluate contemporary experimental approaches for manipulating precipitation under field conditions to inform the design of ‘Drought-Net’, a relatively low-cost CDE that simulates extreme precipitation years. A common method for imposing both dry and wet years is to alter each ambient precipitation event. We endorse this approach for imposing extreme precipitation years because it simultaneously alters other precipitation characteristics (i.e., event size) consistent with natural precipitation patterns. However, we do not advocate applying identical treatment levels at all sites – a common approach to standardization in CDEs. This is because precipitation variability varies >fivefold globally resulting in a wide range of ecosystem-specific thresholds for defining extreme precipitation years. For CDEs focused on precipitation extremes, treatments should be based on each site's past climatic characteristics. This approach, though not often used by ecologists, allows ecological responses to be directly compared across disparate ecosystems and climates, facilitating process-level understanding of ecosystem sensitivity to precipitation extremes.
1 aKnapp, Alan, K.1 aAvolio, M.L.1 aBeier, C.1 aCarroll, C.J.W.1 aCollins, Scott., L.1 aDukes, J.S.1 aFraser, L.H.1 aGriffin-Nolan, R.J.1 aHoover, D.L.1 aJentsch, A.1 aLoik, M.E.1 aPhillips, R.P.1 aPost, A.K.1 aSala, O.E.1 aSlette, I.J.1 aYahdjian, L.1 aSmith, M.D. uhttps://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.1350403284nas a2200385 4500008004100000245011800041210007100159300001400230490000700244520218900251100001702440700001402457700001802471700001802489700001402507700001702521700001402538700001702552700001802569700001402587700002102601700001702622700002302639700001902662700001402681700001902695700001602714700001502730700001802745700001802763700002002781700001602801700001902817856006202836 2016 eng d00aFew multiyear precipitation–reduction experiments find a shift in the productivity–precipitation relationship0 aFew multiyear precipitation–reduction experiments find a shift i a2570-25810 v223 aWell-defined productivity–precipitation relationships of ecosystems are needed as benchmarks for the validation of land models used for future projections. The productivity–precipitation relationship may be studied in two ways: the spatial approach relates differences in productivity to those in precipitation among sites along a precipitation gradient (the spatial fit, with a steeper slope); the temporal approach relates interannual productivity changes to variation in precipitation within sites (the temporal fits, with flatter slopes). Precipitation–reduction experiments in natural ecosystems represent a complement to the fits, because they can reduce precipitation below the natural range and are thus well suited to study potential effects of climate drying. Here, we analyse the effects of dry treatments in eleven multiyear precipitation–manipulation experiments, focusing on changes in the temporal fit. We expected that structural changes in the dry treatments would occur in some experiments, thereby reducing the intercept of the temporal fit and displacing the productivity–precipitation relationship downward the spatial fit. The majority of experiments (72%) showed that dry treatments did not alter the temporal fit. This implies that current temporal fits are to be preferred over the spatial fit to benchmark land-model projections of productivity under future climate within the precipitation ranges covered by the experiments. Moreover, in two experiments, the intercept of the temporal fit unexpectedly increased due to mechanisms that reduced either water loss or nutrient loss. The expected decrease of the intercept was observed in only one experiment, and only when distinguishing between the late and the early phases of the experiment. This implies that we currently do not know at which precipitation–reduction level or at which experimental duration structural changes will start to alter ecosystem productivity. Our study highlights the need for experiments with multiple, including more extreme, dry treatments, to identify the precipitation boundaries within which the current temporal fits remain valid.
1 aEstiarte, M.1 aVicca, S.1 aPeñuelas, J.1 aBahn, Michael1 aBeier, C.1 aEmmett, B.A.1 aFay, P.A.1 aHanson, P.J.1 aHasibeder, R.1 aKigel, J.1 aKröel-Dulay, G.1 aLarsen, K.S.1 aLellei-Kovács, E.1 aLimousin, J-M.1 aOgaya, R.1 aOurcival, J-M.1 aReinsch, S.1 aSala, O.E.1 aSchmidt, I.K.1 aSternberg, M.1 aTielbörger, K.1 aTietema, A.1 aJanssens, I.A. uhttps://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.1326902723nas a2200241 4500008004100000245013000041210006900171300001500240490000700255520196000262653002202222100002002244700001702264700001702281700001702298700001802315700002802333700001502361700001202376700001502388700001602403856006202419 2015 eng d00aCharacterizing differences in precipitation regimes of extreme wet and dry years: Implications for climate change experiments0 aCharacterizing differences in precipitation regimes of extreme w a2624 -26330 v213 aClimate change is intensifying the hydrologic cycle and is expected to increase the frequency of extreme wet and dry years. Beyond precipitation amount, extreme wet and dry years may differ in other ways, such as the number of precipitation events, event size, and the time between events. We assessed 1614 long-term (100 year) precipitation records from around the world to identify key attributes of precipitation regimes, besides amount, that distinguish statistically extreme wet from extreme dry years. In general, in regions where mean annual precipitation (MAP) exceeded 1000 mm, precipitation amounts in extreme wet and dry years differed from average years by ~40% and 30%, respectively. The magnitude of these deviations increased to >60% for dry years and to >150% for wet years in arid regions (MAP<500 mm). Extreme wet years were primarily distinguished from average and extreme dry years by the presence of multiple extreme (large) daily precipitation events (events >99th percentile of all events); these occurred twice as often in extreme wet years compared to average years. In contrast, these large precipitation events were rare in extreme dry years. Less important for distinguishing extreme wet from dry years were mean event size and frequency, or the number of dry days between events. However, extreme dry years were distinguished from average years by an increase in the number of dry days between events. These precipitation regime attributes consistently differed between extreme wet and dry years across 12 major terrestrial ecoregions from around the world, from deserts to the tropics. Thus, we recommend that climate change experiments and model simulations incorporate these differences in key precipitation regime attributes, as well as amount into treatments. This will allow experiments to more realistically simulate extreme precipitation years and more accurately assess the ecological consequences.
10arainfall patterns1 aKnapp, Alan, K.1 aHoover, D.L.1 aWilcox, K.R.1 aAvolio, M.L.1 aKoerner, S.E.1 aLa Pierre, Kimberly, J.1 aLoik, M.E.1 aLuo, Y.1 aSala, O.E.1 aSmith, M.D. uhttps://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.1288802660nas a2200181 4500008004100000245012700041210006900168300001500237490000700252520205600259100001802315700001402333700001702347700001802364700001902382700001502401856006202416 2014 eng d00aSoil animal responses to moisture availability are largely scale, not ecosystem dependent: Insight from a cross-site study0 aSoil animal responses to moisture availability are largely scale a2631 -26430 v203 aClimate change will result in reduced soil water availability in much of the world either due to changes in precipitation or increased temperature and evapotranspiration. How communities of mites and nematodes may respond to changes in moisture availability is not well known, yet these organisms play important roles in decomposition and nutrient cycling processes. We determined how communities of these organisms respond to changes in moisture availability and whether common patterns occur along fine-scale gradients of soil moisture within four individual ecosystem types (mesic, xeric and arid grasslands and a polar desert) located in the western United States and Antarctica, as well as across a cross-ecosystem moisture gradient (CEMG) of all four ecosystems considered together. An elevation transect of three sampling plots was monitored within each ecosystem and soil samples were collected from these plots and from existing experimental precipitation manipulations within each ecosystem once in fall of 2009 and three times each in 2010 and 2011. Mites and nematodes were sorted to trophic groups and analyzed to determine community responses to changes in soil moisture availability. We found that while both mites and nematodes increased with available soil moisture across the CEMG, within individual ecosystems, increases in soil moisture resulted in decreases to nematode communities at all but the arid grassland ecosystem; mites showed no responses at any ecosystem. In addition, we found changes in proportional abundances of mite and nematode trophic groups as soil moisture increased within individual ecosystems, which may result in shifts within soil food webs with important consequences for ecosystem functioning. We suggest that communities of soil animals at local scales may respond predictably to changes in moisture availability regardless of ecosystem type but that additional factors, such as climate variability, vegetation composition, and soil properties may influence this relationship over larger scales.
1 aSylvain, Z.A.1 aWall, D.H1 aCherwin, K.L1 aPeters, D.P.C1 aReichmann, L.G1 aSala, O.E. uhttps://onlinelibrary.wiley.com/doi/abs/10.1111/gcb.1252200934nas a2200157 4500008004100000245009900041210006900140260003200209300001100241520032100252100002000573700001900593700001900612700001500631856013000646 2007 eng d00aEstimating aboveground net primary production in grassland and herbaceous dominated ecosystems0 aEstimating aboveground net primary production in grassland and h bOxford University Press, NY a27 -483 aThis paper reviews past and currently accepted methods of estimating aboveground net primary production (NPP) in grass and herb-dominated ecosystems, provides some guiding principles and recommendations to facilitate accurate determination of aboveground NPP, and discusses biases and errors and sampling adequacy. 1 aKnapp, Alan, K.1 aBriggs, J., M.1 aChilders, D.L.1 aSala, O.E. uhttp://lter.konza.ksu.edu/content/estimating-aboveground-net-primary-production-grassland-and-herbaceous-dominated-ecosystems00885nas a2200313 4500008004100000245006200041210006100103300001300164490000800177100001700185700001600202700001400218700002000232700001500252700001500267700001600282700001700298700001400315700001800329700001800347700001500365700001700380700001400397700001500411700001900426700001600445700001900461856009100480 2004 eng d00aConvergence across biomes to a common rain-use efficiency0 aConvergence across biomes to a common rainuse efficiency a651 -6540 v4291 aHuxman, T.E.1 aSmith, M.D.1 aFay, P.A.1 aKnapp, Alan, K.1 aShaw, M.R.1 aLoik, M.E.1 aSmith, S.D.1 aTissue, D.T.1 aZak, J.C.1 aWeltzin, J.F.1 aPockman, W.T.1 aSala, O.E.1 aHaddad, B.M.1 aHarte, J.1 aKoch, G.W.1 aSchwinning, S.1 aSmall, E.E.1 aWilliams, D.G. uhttp://lter.konza.ksu.edu/content/convergence-across-biomes-common-rain-use-efficiency01105nas a2200361 4500008004100000245008800041210006900129260003100198300001300229100001600242700001700258700002100275700002100296700002000317700001900337700001500356700001800371700001500389700001900404700001900423700001800442700002100460700001500481700001700496700001500513700001800528700001900546700002000565700001500585700001800600700001600618856010900634 1996 eng d00aImpact of climate and atmospheric carbon dioxide changes on grasslands of the world0 aImpact of climate and atmospheric carbon dioxide changes on gras aChichesterbWiley and Sons a271 -3121 aOjima, D.S.1 aParton, W.J.1 aCoughenour, M.B.1 aScurlock, J.M.O.1 aKirchener, T.B.1 aKittel, T.G.F.1 aHall, D.O.1 aSchimel, D.S.1 aMoya, E.G.1 aGilmanov, T.G.1 aSeastedt, T.R.1 aKamnalrut, A.1 aKinyamario, J.I.1 aLong, S.P.1 aMenaut, J.C.1 aSala, O.E.1 aScholes, R.J.1 avan Veen, J.A.1 aBreymeyer, A.I.1 aHall, D.O.1 aMelillo, J.M.1 aAgren, G.I. uhttp://lter.konza.ksu.edu/content/impact-climate-and-atmospheric-carbon-dioxide-changes-grasslands-world02459nas a2200193 4500008004100000245008500041210006900126300001300195490000700208520189400215653001202109100001802121700002002139700001802159700001602177700001702193700001502210856004002225 1995 eng d00aRegional climatic similarities in the temperate zones of North and South America0 aRegional climatic similarities in the temperate zones of North a a915 -9250 v223 aAn analysis of the climatic patterns of the temperate zones in North and South America using a global database of monthly precipitation and temperature was performed. Three synthetic variables, identified by a principal component analysis of the monthly data, were used: mean annual precipitation, mean annual temperature and the proportion of the precipitation falling during summer. The spatial gradient of the 3 variables was displayed by constructing a composite colour raster image. A parallelepiped classification algorithm was used to locate areas in both continents that are climatically similar to 5 North American long term ecological research (LTER) sites and to 2 South American LTER sites. The same algorithm was used to identify areas in South America which are climatically similar to some of the major grassland and shrubland types of North America. There was substantial overlap between the climates of North and South America. Most of the climatic patterns found in South America are well represented in North America but there are certain climates in North America that are not found in South America. An example is a climate with relatively low mean annual temperature and high summer precipitation. The climatic signatures of 3 North American LTER sites (Cedar Creek, CPER and Sevilleta) were not found in South America. The climatic signatures of two LTER sites (Konza and Jornada) had some representation in South America. Two South American research sites (Rio Mayo and Las Chilcas) were well represented climatically in North America. The climates of 6 out of 7 selected North American grassland and shrubland types were represented in South America. The northern mixed prairie type was not represented climatically in South America. It is suggested that comparisons of North and South America may provide a powerful test of climatic control over vegetation
10aclimate1 aParuelo, J.M.1 aLauenroth, W.K.1 aEpstein, H.E.1 aBurke, I.C.1 aAguiar, M.R.1 aSala, O.E. uhttp://www.jstor.org/stable/2845992