Variable climate response differentiates the growth of Sky Island Ponderosa Pines

Marquardt, Paula E.; Miranda, Brian R.; Jennings, Shane; Thurston, Ginger; Telewski, Frank W.

doi:10.1007/s00468-018-1778-9

Cited by 11 publications

(21 citation statements)

References 42 publications

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“…is drier than MTL (32.43, −110.79, 2577 m a.s.l. ), with average available water-holding capacities of 3.8% and 9.2%, respectively [13]. The climate of the desert southwest is semiarid and warm with two rainy seasons, the summer monsoons (July through September) and winter cyclones (November through March) each delivering up to half of the annual precipitation to the region [17].…”

Section: Study Areamentioning

confidence: 99%

“…brachyptera and P. arizonica, respectively. [13,16] were validated with local climate data [13], and averaged to construct this diagram.…”

Section: Study Areamentioning

confidence: 99%

“…The local meteorological stations provided only short but accurate climate records; thus, specific high-resolution gridded climate (1 km) datasets were developed using the ANUSPLIN package [16,18]. Climate dataset development and validation were described earlier [13]. Climatic variables were summarized to monthly values of average temperature (TAVG), average minimum temperature (TMIN), and total precipitation (PCP) because they were previously found to be significant drivers of growth responses [13].…”

Section: Climate Datamentioning

confidence: 99%

“…Climate dataset development and validation were described earlier [13]. Climatic variables were summarized to monthly values of average temperature (TAVG), average minimum temperature (TMIN), and total precipitation (PCP) because they were previously found to be significant drivers of growth responses [13].…”

Section: Climate Datamentioning

confidence: 99%

“…Previously, we reported on the two species of ponderosa pine displaying different growth responses to moisture stress that varied based on the microsite environment [13]. P. arizonica's growth was reduced for longer periods by drought than P. ponderosa var.…”

Section: Introductionmentioning

confidence: 99%

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Shifts in Climate–Growth Relationships of Sky Island Pines

Marquardt

Miranda

Telewski

2019

Forests

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Rising temperatures and changes in precipitation may affect plant responses, and mountainous regions in particular are sensitive to the impacts of climate change. The Santa Catalina Mountains, near Tucson, Arizona, USA, are among the best known Madrean Sky Islands, which are defined by pine-oak forests. We compared the sensitivity and temporal stability of climate–growth relationships to quantify the growth responses of sympatric taxa of ponderosa pine to changing climate. Three taxa (three-needle, mixed-needle, and five-needle types) collected from southern slopes of two contact zones (Mt. Lemmon, Mt. Bigelow) were evaluated. Positive climate–growth correlations in these semiarid high-elevation pine forests indicated a seasonal shift from summer- to spring-dominant precipitation since 1950, which is a critical time for reproduction. Mixed- and five-needle types responded to winter precipitation, and growth was reduced for the five-needle type when spring conditions were dry. Growth trends in response to temperature and specific to site were observed, which indicated the climate signal can be weakened when data are combined into a single chronology. Significant fluctuations in temperature–growth correlations since 1950 occurred for all needle types. These results demonstrated a dramatic shift in sensitivity of annual tree growth to the seasonality of the limiting factor, and a climatic trend that increases local moisture stress may impact the stability of climate–growth relationships. Moreover, output from temperature–growth analyses based on ring-width data (for example from semiarid sites) that does not account for positive and negative growth trends may be adversely affected, potentially impacting climate reconstructions.

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Section: Study Areamentioning

confidence: 99%

“…brachyptera and P. arizonica, respectively. [13,16] were validated with local climate data [13], and averaged to construct this diagram.…”

Section: Study Areamentioning

confidence: 99%