ライフサイエンスコーパス: global change

1 d can be applied to improve understanding of global change.

2 sformations and species range dynamics under global change.

3 important for predicting biotic responses to global change.

4 on being among the fastest-growing agents of global change.

5 iously unrecognized impacts of anthropogenic global change.

6 local processes may compensate or counteract global change.

7 urces when inferring the emergent effects of global change.

8 ations for the resilience of food systems to global change.

9 or understanding the responses of species to global change.

10 ncreasing changes in vegetation traits under global change.

11 rbance is also highlighted as a key agent of global change.

12 shifting resources, disturbance regimes, and global change.

13 hifts is important in the current context of global change.

14 ritional landscape is continually altered by global change.

15 itical to accurately predicting responses to global change.

16 dicting biological responses to multifaceted global change.

17 critical modifier of ecosystem responses to global change.

18 hanges expected with continued anthropogenic global change.

19 illover into humans, and the consequences of global change.

20 realistically predict ecosystem responses to global change.

21 o quantify emerging disease risk in times of global change.

22 point to their potential as bioindicators of global change.

23 ill respond to land management practices and global change.

24 ts, including future challenges triggered by global change.

25 resolution to forecast the local effects of global change.

26 ironmental fluctuations and human-associated global change.

27 rs to project how corals will be affected by global change.

28 cation" of northern peatlands in response to global change.

29 ctions of species and ecosystem responses to global change.

30 examined root decomposition as influenced by global change.

31 y lead to unexpected outcomes in response to global change.

32 gnosing catastrophic ecological responses to global change.

33 g the response of the Arctic carbon cycle to global change.

34 ulation to respond rapidly and accurately to global change.

35 sess key elements of functional responses to global change.

36 s and how these vary with perturbations from global change.

37 rsity but their persistence is threatened by global change.

38 nding of how these forests are responding to global change.

39 severe transformations due to pressures from global change.

40 ferent directions by different components of global change.

41 ty sites for conservation in the presence of global change.

42 e environment that is warming rapidly due to global change.

43 ompetition and more responsive to signals of global change.

44 lands, are exceptional ecological sensors of global change.

45 Southern Ocean freshwater hosing can trigger global change.

46 redicting large-scale biosphere responses to global change.

47 TBMs) is essential for robust projections of global change.

48 ecosystems and manage their stability under global change.

49 thermal niche width is critical in an era of global change.

50 uencing population dynamics and responses to global change.

51 ecological predictability and sensitivity to global change.

52 guide biodiversity conservation in an era of global change.

53 o predict or forecast ecosystem responses to global change.

54 chanism impacting terrestrial C stocks under global change.

55 lant species and physiology are altered with global change.

56 in shortgrass steppe community responses to global change.

57 uggestion of a role for additional agents of global change.

58 these biomes and predict their future under global change.

59 tutes a critical challenge in the context of global change.

60 benefit or suffer in a time of accelerating global change.

61 mismatches governing the emergent effects of global change.

62 ology is habitat extinction, caused by rapid global change.

63 ation of ecosystems able to adapt to ongoing global changes.

64 vation of microbial diversity hotspots under global changes.

65 e need to account for the multiple facets of global changes.

66 across a full set of mineral elements under global changes.

67 redicting the response of species to current global changes.

68 precluding projections of their responses to global changes.

69 predict and mitigate the impacts of ongoing global change across the daunting scope of diversity in

70 when either stimulus changes, giving rise to global changes across both hemispheres of V1.

71 s typically affect larger (sub-)domains, and global changes affect the whole protein non-specifically

72 es in synaptic connectivity and coordinated, global changes affecting many aspects of behavior.

73 nisms, to investigate the impacts of various global change agents, and to quantify their contribution

74 by concurrent changes in multiple agents of global change and evidence for a [CO(2) ]-driven terrest

75 ll reduce uncertainties about the impacts of global change and help develop an integrated global view

76 nsitivity of megabiota during times of rapid global change and how they impact the functioning of eco

77 ing to study, the Arctic is a bellwether for global change and is becoming a model for questions pert

78 uggests that shifts in vegetation related to global change and land use may strongly alter the topsoi

79 ng both the losses to biodiversity caused by global change and the effectiveness of conservation effo

80 reflect a shift in forest functioning due to global change and/or long-lasting recovery from past dis

81 eciation, and trait evolution in the face of global changes and pollinator decline.

82 ver, severe drought is only one component of global change, and ecological effects of drought may be

83 idant evergreens from tropical forests under global change, and point to the importance of changes in

84 to alter their trophic niches in response to global change, and the ways they do so when able, remain

85 Biological invasions are a key component of global change, and understanding the drivers of global i

86 bust interspecific trait relationships under global changes, and call for linking within-species resp

87 Ongoing global changes apply drastic environmental forcing onto

88 trols over metabolism and their responses to global change are a major uncertainty in the global C cy

89 ry productivity (NPP) and its sensitivity to global change are largely unknown because of the lack of

90 ssions from blue C ecosystems and effects of global change are poorly understood.

91 r results demonstrate that current trends of global changes are likely to be consistent with forest o

92 lico approach reveals a similar magnitude of global changes as the spike-in method does.

93 a major factor driving animals' responses to global change because it largely determines how animals

94 While we generally agree with Slette et al. (Global Change Biol, 2019), that ecologists 'should do be

95 While we generally agree with Slette et al. (Global Change Biol, 2019), that ecologists 'should do be

96 While ocean global change biologists have begun to experimentally te

97 entary summarizes the publication history of Global Change Biology for works on experimental manipula

98 A paper published in Global Change Biology in 2006 revealed that phenological

99 lains, Brookshire, Stoy, Currey, and Finney (Global Change Biology, 2020) analyze satellite-based rec

100 Fill et al. (Global Change Biology, 25, 3562-3569, 2019) reported sig

101 (Global Change Biology, 26, 191-199; 2020) accounted the

102 interface of evolutionary ecotoxicology and global change biology.

103 hus represents a quintessential challenge in global change biology.

104 mains an unanswered question in the field of global change biology.

105 s and highlight key research needs for ocean global change biology.

106 tant significance for understanding the past global change but are still a controversial subject.

107 orest responses are an important feedback on global change, but changes in forest composition with pr

108 Global change causes widespread decline of coral reefs.

109 t broad-scale SOM dynamics in the context of global change challenges and provide necessary recommend

110 soil organic matter (SOM) stocks to address global change challenges requires well-substantiated kno

111 s of the impacts of two pervasive drivers of global change (chemical stressors and nutrient enrichmen

112 ing trophic disruptions further exacerbating global change consequences to ecosystem structure and fu

113 In a global change context, more extreme droughts may turn pr

114 The magnitude and pace of global change demand rapid assessment of nature and its

115 continued pressure on tropical forests from global change demands models which are able to simulate

116 Whether such local perturbations grow into global changes depends on the system geometry and the sp

117 lowground communities were altered by either global change driver.

118 Increases in global change drivers consistently accelerated, but decr

119 ensitivities of carbon variables to multiple global change drivers depended on the background climate

120 thropocene began over 100 years ago and that global change drivers have allowed GPP uptake to keep pa

121 ents manipulated single rather than multiple global change drivers in temperate ecosystems of the USA

122 d to explore the interactions among multiple global change drivers in underrepresented regions such a

123 e resource limitation view of the effects of global change drivers on grassland ecosystem carbon cycl

124 ngs highlight that two of the most pervasive global change drivers operate via different pathways whe

125 These results highlight the potential for global change drivers operating simultaneously to have a

126 synergistic and antagonistic) effects among global change drivers were rare.

127 Global change drivers, such as climate change and land u

128 es, and it can be readily applied to further global change drivers.

129 edictions of how ecosystems might respond to global change drivers.

130 uence C storage under combined anthropogenic global change drivers.

131 anges in protein abundance into two sources: global changes due to physiological alterations and gene

132 opmental stages but display dynamic local or global changes during development and aging.

133 se to the three major climate change-related global changes, eCO(2) , warming, and changes in precipi

134 gainst global warming, oversimplification of global change effects on cyanobacteria should be avoided

135 tions) or whether they are more sensitive to global change effects that are local (e.g., more rain in

136 behavior, particularly in studies examining global change effects using long-term time series data.

137 d enhances plant survival during episodes of global change, especially for tropical organisms like Ma

138 However, other global changes-especially climate change and elevated at

139 that allows, for the first time, to quantify global changes expected in rangelands under future clima

140 ter an experimental fire at the Jasper Ridge Global Change Experiment site in California, USA.

141 We used the Nutrient Network global change experiment to examine how anthropogenic nu

142 eria and fungi in a long-term multifactorial global change experiment with warming (+3 degrees C), ha

143 ric variations with one meta-analysis of 112 global change experiments conducted across global terres

144 challenging to conduct ecologically relevant global change experiments over the long times commensura

145 on, vary with time, space, and treatments in global change experiments.

146 partial desiccation, or have vanished due to global change, exposing sediments to the atmosphere.

147 Permian to Jurassic periods) containing four global change extinctions, including the end-Permian and

148 at an unprecedented rate due to a variety of global change factors (GCFs).

149 articularly when its interactions with other global change factors are considered.

150 potential mechanisms through which multiple global change factors control soil C persistence in arid

151 s suggest that the interactive effects among global change factors should be incorporated to predict

152 ictive ecosystem models under a multitude of global change factors that alter soil N availability.

153 Finally, other global change factors, especially hypoxia, salinity, and

154 suggests that predicting the consequences of global change for bee assemblages requires accounting fo

155 Global change forecasts in ecosystems require knowledge

156 ion information on tree-species responses to global change, forest carbon and water dynamics, and pas

157 imes of individual myosin II filaments and a global change from a remodeling to a contractile state o

158 but pigmentation responses to this aspect of global change have yet to be demonstrated.

159 the soil biota, and therefore, human-induced global changes have a feedback effect on ecosystem servi

160 ory, physiology, and organismal responses to global change; however, transcriptomic resources are sca

161 Significant uncertainties remain of how global change impacts on species richness, relative abun

162 such as C residence time and attribution of global change impacts to relevant processes.

163 ion, thereby improving projections of future global change impacts.

164 derstanding ecosystem sensitivity to predict global-change impacts, it is necessary to design new exp

165 ocal synaptic changes produce an integrated, global change in behavior.SIGNIFICANCE STATEMENT How do

166 to restore O-GlcNAc homeostasis, there is a global change in detained intron levels.

167 mmunity composition for buffering effects of global change in drylands worldwide.

168 ARP-1/PARP-2-deficiency host-mice revealed a global change in immunological profile and impaired recr

169 Understanding the effects of global change in terrestrial communities requires an und

170 However, while a global change in transcription is recognized as a defini

171 temporal viromics has been used to quantify global changes in >9,000 host proteins in two types of p

172 Here, we delineate global changes in adipocyte signalling networks followin

173 of core pluripotency genes, and orchestrated global changes in chromatin accessibility over time.

174 Analysis of global changes in chromatin availability and gene expres

175 h and therefore unable to accurately measure global changes in chromatin interactions and contact dom

176 We suggest that local and global changes in chromatin openness in concert with nuc

177 rminal stage of plant life is accompanied by global changes in chromatin structure but only localized

178 t, Hdac3(Delta/-) progenitor cells displayed global changes in chromatin structure that likely hinder

179 es and subsequent recovery are shifting with global changes in climate and land use, altering these d

180 With ongoing global changes in climate and land use, the role of moun

181 cated in autism are robustly associated with global changes in cortical thickness variability in chil

182 se findings suggest that loss of PTEN drives global changes in DNA CpG methylation and transcriptomic

183 Ancestral TBT exposure induces global changes in DNA methylation and altered expression

184 tcome of phase variation of these systems is global changes in DNA methylation.

185 a comprehensive and detailed overview of the global changes in gene expression in different states of

186 Consistently, SPAs are necessary for global changes in gene expression in response to high am

187 RNA-seq was performed to identify global changes in gene expression induced by dexamethaso

188 These global changes in gene expression were accompanied by a

189 Yet, infection with HCV leads to global changes in gene expression, and chromosomal insta

190 n DIPG gene expression signatures and showed global changes in H3K27 posttranslational modifications,

191 ike-in chromatin or peak detection to reveal global changes in histone modification occupancy.

192 Progressive habitat transformation causes global changes in landscape biodiversity patterns, but c

193 y surrounds that reduce their sensitivity to global changes in light in favor of responses to spatial

194 applications for detecting and responding to global changes in marine ecosystems.

195 ed bacterial pathogens has demonstrated that global changes in methylation regulate the expression of

196 tasks, in a manner that was dissociable from global changes in movement.

197 We examined the global changes in mRNA abundance in healthy lung and lun

198 th during homeostatic scaling in response to global changes in neural activity.

199 q analyses showed that CHD1 loss resulted in global changes in open and closed chromatin with associa

200 to document, understand, predict, and delay global changes in our wider environment, microbiota scie

201 tion of pairing-promoting factors results in global changes in pairing, including the disruption of s

202 tome analysis using RNA sequencing to reveal global changes in postmortem gene expression in liver ti

203 as cellular redox homeostasis, resulting in global changes in protein glycosylation, expression and

204 performed quantitative proteomics to analyze global changes in proteome allocation, during both anaer

205 been facilitated by a series of dynamic and global changes in redox conditions and nutrient supply,

206 Here we evaluated global changes in RNA-sequencing profiles between matche

207 at critical period visual experience induces global changes in spontaneous ISA relationships, both wi

208 functional class and may be able to produce global changes in sympathetic activity.

209 ojection neurons, or rather is indicative of global changes in synaptic signaling across the mature s

210 e of global vegetation productivity changes, global changes in tau(eco) are still unknown.

211 in robustness, we quantified both local and global changes in the brain networks and their potential

212 port a model in which PPP2R5 degradation and global changes in the cellular phosphoproteome are likel

213 ll-autonomous innate immune signaling causes global changes in the expression of epigenetic modifiers

214 Our results suggest that global changes in the mode and the intensity of land use

215 tation into the Drosophila genome results in global changes in the O-GlcNAc proteome, while in mouse

216 Global changes in the state of spatially distributed sys

217 Differential expression analysis identifies global changes in transcription and enables the inferenc

218 e intermingling degree was more sensitive to global changes in transcription than to chromosome radia

219 ient CCR6- ILC3s, coupled with evaluation of global changes in transcriptome, chromatin accessibility

220 oplankton may allow them to adapt rapidly to global change, including warming, thus limiting losses o

221 l have to evolve to stay relevant in the age global change-induced human infectious disease.

222 cation of terrestrial biosphere responses to global change is crucial for projections of future clima

223 Understanding root decomposition with global change is key to predict carbon (C) and nutrient

224 ding the carbon-rich circumboreal belt where global change is most rapid, additional consideration of

225 The ongoing global change is multi-faceted, but the interactive effe

226 However, global change is pervasively altering environmental cond

227 Global change is pressing forest pathologists to solve i

228 forward Acknowledgements References SUMMARY: Global change is shifting the seasonality of vegetation

229 tiple extinctions triggered by multistressor global change, is ideally suited for testing hypotheses

230 thropogenic climatic change, suggesting that global change may alter pollination through its impact o

231 ls aimed at quantifying C cycle feedbacks to global change may be improved by treating N as a resourc

232 ences of tree species shifts associated with global change may have predictable consequences for soil

233 g for diverse bee communities in the face of global change may require mitigating both changes in tem

234 is incredible task is crucial to predict how global change may threaten the safety of such journeys.

235 Changing wind conditions associated with global change may thus profoundly influence the costs of

236 or considering regional climate histories in global change models.

237 Despite these global changes, NMD targets and mRNAs expressed at low l

238 Through an analysis of the global changes of gene expression mediated by ERK2, we i

239 how local ecological processes may modulate global changes of pH from rising atmospheric CO(2).

240 eomics and RNA sequencing to investigate the global changes of PV leaflets and passage zero PV inters

241 impacts of species loss and other aspects of global change on ecosystems.

242 ing environmental conditions associated with global change on environment-host-pathogen interactions

243 How such heterogeneity buffers impacts of global change on large-scale population dynamics is not

244 With rapid global change, organisms in natural systems are exposed

245 In an era of rapid global change, our ability to understand and predict Ear

246 rstanding and predicting the consequences of global change over evolutionary and ecological timescale

247 tomography (SDOCT) measurements and compared global change over time in advanced glaucoma eyes.

248 Global change over time in longitudinal eyes was -1.51 m

249 models of coral vulnerability to inevitable global change, particularly increasing ocean acidificati

250 pollution has not achieved parity with other global change phenomena in the level of concern and inte

251 As a rapidly accelerating expression of global change, plastics now occur extensively in freshwa

252 sessing regional and sub-regional impacts of global change policies.

253 perspectives should also be accounted for as global change processes are determinant for livestock ag

254 is likely to be critical to representing how global change processes impact future ecosystem dynamics

255 possibly due to interacting effects of other global change processes, which are often excluded from a

256 managed systems and their interactions with global change processes.

257 ons to bolster species' adaptive capacity as global change progresses.

258 sumptions and warrant caution when assessing global-change-related biotic and abiotic implications, i

259 ll understanding of species vulnerability to global change relies on linking seasonal trait and popul

260 tability of this relationship in response to global change remains poorly understood.

261 rstanding of nutrient balance in response to global changes remains greatly limited to plant carbon :

262 ironmental management and conservation under global change require a strong understanding of the biol

263 nties in the response of tropical forests to global change requires understanding how intra- and inte

264 A central challenge in global change research is the projection of the future b

265 changes describe an important phenomenon in global change research.

266 studies as well as distribution modeling and global change research.

267 aneously increase the rate and robustness of Global Change research.

268 en changes in host composition under various global change scenarios could strengthen or weaken the r

269 Future global change scenarios with higher human population gro

270 t only their ability to persist under future global change scenarios, but also to assess the persiste

271 to predict the soil C dynamics under future global change scenarios.

272 budgets, NPP, and ecosystem feedbacks under global change scenarios.

273 or the improvement of C cycling models under global change scenarios.

274 21st century within the context of two IPCC global-change scenarios (RCPs 4.5 and 8.5).

275 tive ecosystems should figure prominently in global change science and policy.

276 t night have been a rapidly growing field of global change science in recent years.

277 ions in seawater pH constitute a conspicuous global change stressor that is affecting marine ecosyste

278 Although multigenerational exposure to global change stressors currently appears limited as a u

279 ritical to meaningfully assess the threat of global change stressors in these data-deficient species.

280 ally less about community-level responses to global change stressors.

281 namics of cold and warm range edges, as most global change studies average observational data over sp

282 of beekeeping is at risk through factors of global change such as habitat loss, as well as through t

283 or exacerbate responses to other aspects of global change, such as climate warming.

284 In an era of rapid global change, such tools can provide key insights into

285 Nitrogen (N) deposition is a component of global change that has considerable impact on belowgroun

286 We ask whether primates are sensitive to global changes that are universal (e.g., higher temperat

287 nteractions are particularly important under global changes that may alter plant species composition

288 Multistressor global change, the combined influence of ocean warming,

289 n identified as mechanisms of acclimation to global change, the weight of evidence indicates that par

290 thogonal normalization allows observation of global changes, the approach will enable more quantitati

291 ds ranging from eco-evolutionary dynamics to global change to macroecology.

292 en host and parasite richness in response to global change, we experimentally crossed host diversity

293 is important to consider multiple drivers of global change when trying to understand, manage and pred

294 Whether global change will drive changing forests from net carbo

295 f aquatic ecosystems, and their responses to global change will impact everything from food web dynam

296 ining how altered signaling conditions under global change will impact the evolutionary trajectory of

297 al to understand how factors associated with global change will influence surface CO2 and CH4 fluxes.

298 ate a high sensitivity of CH(4) emissions to global change with important implications for modeling g

299 eomic analyses with APEX2-Gal9 have revealed global changes within the Gal9 interactome during lysoso

300 f extreme climate events are increasing with global change, yet we lack predictions and empirical evi