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1 on and causes lethal immune system collapse (die-off).
2 duction and on day 9 when animals started to die off.
3 o, in which production ceases after orchards die off.
4 al variables impacting on E. coli growth and die-off.
5 mprove forecasts of forest and agroecosystem die-off.
6 es in the extent and frequency of vegetation die-off.
7  surveys confirmed the general extent of the die-off.
8 losclerid species initially recruit and then died off.
9  Here, we quantify regional-scale vegetation die-off across southwestern North American woodlands in
10 pect to understanding heat wave driven plant die-off and ecosystem tipping points.
11                                       Pinyon die-off and its relationship with precipitation was quan
12 om 60 to 90 min, accounting for both natural die-off and settling of MS2.
13 on, indicating that large motor neurons were dying off and shrinking in the process.
14  met or exceeded levels present prior to the die-off, and turtlegrass regained dominance of seagrass
15 ght impacts on forests, including widespread die-off, are likely to increase with future climate chan
16  Sesarma functional density and herbivory in die-off areas and Sesarma exhibit a generic avoidance re
17                              Survey of marsh die-off areas in three states revealed high-density fron
18 ring nitrate photolysis in promoting E. coli die-off as a function of extracellular polymeric substan
19       We tested the hypothesis that Treg may die off at early stages of infection, when virus-induced
20 that predator depletion can cause salt marsh die-off by releasing the herbivorous crab Sesarma reticu
21 apes are rapidly being transformed by forest die-off caused by mountain pine beetle (Dendroctonus pon
22 hance effects and early stochastic infection die-off, caution against relying on single-operation rea
23 ico with standard field plot measurements of die-off combined with canopy cover derived from normaliz
24                                       Forest die-off constitutes a large uncertainty in projections o
25             After more than three decades of die-off, cordgrass is recovering at heavily damaged site
26 nisms and thresholds for climate-driven tree die-off could help improve global predictions of future
27 reme sensitivity to cobalt limitation, rapid die-off during stationary phase, and altered succinoglyc
28                            Evaluation of the die-off dynamics of E. coli revealed that a treatment mi
29 r these disturbances, snail fronts formed on die-off edges and subsequently propagated through health
30 es revealed high-density fronts of snails on die-off edges at 11 of 12 sites.
31 e explore precipitation relationships with a die-off event of pinyon pine (Pinus edulis Engelm.) in s
32 eptibility to Bd and host mortality during a die-off event.
33 emperatures have exacerbated recent regional die-off events and background mortality rates.
34                              Predicting tree die-off events and understanding the mechanism involved
35                         Recent regional tree die-off events appear to have been triggered by a combin
36 ease in the frequency of regional-scale tree die-off events for this species due to temperature alone
37                                Regional tree die-off events generate large quantities of standing dea
38 creasingly associated with widespread forest die-off events.
39 limited, available observations suggest that die-off from the recent drought was more extensive than
40 tential woody bioenergy feedstock after tree die-off has not been evaluated due to the complexities o
41               Governmental responses to tree die-off have often focused on incentivizing biomass ener
42 bal annual NPP is close to annual vegetation die-off, Hg mass associated with global NPP approximates
43 egrass) following a hypersalinity-associated die-off in Florida Bay, USA, one of the most spatially e
44 ates have suffered from an increased rate of die-off in recent years, stemming from a complex set of
45                            A mass sea urchin die-off in the Caribbean Sea in the 1980s resulted from
46 s a dead relic of a gene that has completely died off in the human lineage.
47 standing of the conditions in which biphasic die-off is expected.
48                       Climate-induced forest die-off is widespread in multiple biomes, strongly affec
49 n was maintained long after the living plant died off, likely due to the persistence of methylated co
50              Recently, widespread pinon pine die-off occurred in the southwestern United States.
51                                    Extensive die off of terminal branches occurs during the first sev
52 e of cyanobacterial sequences and a dramatic die-off of algae within the artificial streams.
53 al swab of a Canada goose that perished in a die-off of Canada and Snow geese in Cambridge Bay, Nunav
54  freshwater strain, type IVb, caused a large die-off of freshwater drum (Aplodinotus grunniens) in La
55 croscopy, the metabarcoding data indicated a die-off of larger metazoans during the first week of stu
56  a trigger leading to rapid, drought-induced die-off of overstory woody plants at subcontinental scal
57 consequences stemming from a rapid and major die-off of rooted plant life in the basin.
58 ity collapse was characterized by a complete die-off of the foundation species and the dispersal of a
59 gical basis of a recent multiyear widespread die-off of trembling aspen (Populus tremuloides) across
60 ons suggests that a catastrophic terrestrial die-off of vegetation was a global event, producing a ma
61 hat X4 viruses were lost in two ways: by the dying off of an established X4 lineage or by mutation ba
62  shows that disturbances that generate plant die-off on salt marsh edges generally hasten edge erosio
63 h it is immersed, generating fluid flow that dies off on a length scale comparable to the size of the
64 ted States have recently experienced massive die-off, one of many examples of widespread degradation
65 ation, with most E. coli activity (as either die-off or growth) occurring at low dry matter content.
66                                       Pinyon die-off patterns revealed threshold responses to precipi
67 tation models poorly represent recent forest die-off patterns.
68 xtreme climate events in overall global tree die-off patterns.
69 ality, an evaluation of how patterns of tree die-off relate to highly spatially variable precipitatio
70 tential extent of drought-induced vegetation die-off remain pivotal uncertainties in assessing climat
71 on patterns within a region influence pinyon die-off, revealing a precipitation and VPD threshold for
72 owever, the spatial and temporal dynamics of die-off risk are poorly understood.
73 nd die-off risk vary with body mass; and how die-off risk is affected by climate warming.
74 pidly lethal dehydration occurs; how EWL and die-off risk vary with body mass; and how die-off risk i
75             In some RP cases, rods and cones die off simultaneously or even cone death precedes rod d
76 important factor contributing to the massive die-off (tens of km(2)) of salt marshes across the south
77  biomass generated by the unprecedented tree die-off that occurred in California following a 4-year d
78 l scale and highlight the potential for such die-off to be more severe and extensive for future globa
79 read aspen forest mortality, link this aspen die-off to regional climate change trends, and provide i
80                                          The die-off was reflected in changes in a remotely sensed in
81 t is thought to be the primary cause of this die-off, we found snail grazing to be a major contributi
82 echanistic modeling and prediction of forest die-off with climate change.