Synoptic Events and Spring Phenology

Schwartz, Mark D.; Marotz, Glen A.

doi:10.1080/02723646.1988.10642345

Cited by 32 publications

(22 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Learning from the successful experience that scaling from the local to the large regional level using phenological models for reconstructing past plant phenology or predicting future phenology [24][25][26][27], we fit the model using spatiotemporal mixed samples at multiple sites of China to establish a uniform model. However, using such method over the entire range of a species distribution area requires that model estimates are valid across this range, i.e., there is no significant genetic variation of phenology between the different populations.…”

Section: Parameter Estimationmentioning

confidence: 99%

The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007

Wang

Dai

2012

Sci. China Earth Sci.

View full text Add to dashboard Cite

We selected widely distributed and well observed plant species Fraxinus chinensis to study the formation mechanism of geographical distribution of the plant phenophase changes and revealed their spatiotemporal dynamics in China. Based on the first leaf date (FLD) data at 12 sites derived from Chinese Phenological Observation Network (CPON) and related meteorological data, we developed and validated the process-based model of FLD for Fraxinus chinensis. After reconstructing data series of FLD for Fraxinus chinensis over the study area from 1952 to 2007, we analyzed different spatiotemporal patterns of phenophase changes of this species. The results suggested that the process-based model was able to simulate the FLD accurately for Fraxinus chinensis on large spatial and temporal scales, because of the consideration of different budding rate responded to the air temperatures during the dormancy and the quiescence in accordance with the physiological mechanism of plants. The geographical distribution of the spring phenology in temperate regions was determined by the spatial pattern of daily average air temperature. The changes of FLD for Fraxinus chinensis revealed significant phenological advances in most areas. However, it showed delayed trends in a few sites. The overall average change trend was 1.1 days/decade. This result was consistent with the advanced trend in other regions of the North Hemisphere. The changes of FLD showed a noticeable regional variation with clearer advance in the north than in the south. The FLD in northern China showed an average advance as high as 2.0 days/decade (P<0.01). And the advance in northeastern and northwestern China was respectively 1.5 and 1.4 days/decade (P<0.01). Furthermore, eastern and central regions showed a minor trend, which was 1.0 days/decade (P<0.05). The smallest and non-significant advance appeared in southwestern and southern China. phenophases, phenological model, first leaf, Fraxinus chinensis Citation:Wang H J, Dai J H, Ge Q S. The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007. Sci China Earth Sci, 2012, 55: 991 -1000, doi: 10.1007 Phenology is the study of periodic biological events influenced by the environment [1,2], and now attracts more attention in the context of global changes. Phenological phenomenon can reflect the impacts of climate change on the biological and physical systems [3], and bears the fingerprints of global warming [4]. Besides the meteorological, hydrologic and satellite data, phenological data have assumed a special role over the past several decades as an independent measure of the impacts of climate change on the biosphere [2]. Climate change affects plant phenology. Increased phenological changes in temperate forests are likely to have strong impacts on both distribution [5] and productivity [6] of tree species, and implicate the terrestrial storage of carbon [7]. Therefore an accurate reconstruction of the past phenology of woody plants is necessary for understan...

show abstract

Section: Parameter Estimationmentioning

confidence: 99%

The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007

Wang

Dai

2012

Sci. China Earth Sci.

View full text Add to dashboard Cite

show abstract

“…SI-x models are an extension of the original Spring Indices (SI-o) [38], which include three sub-models built respectively on phenologies of clone lilac Syringa chinensis "Red Rothomagensis", clone honeysuckle Lonicera tatarica "Arnold Red", and clone honeysuckle L. korolkowii "Zabeli". SI-o models predict both first leaf and first bloom using a multi-step regression driven by growing degree hours during specific time windows and high-energy synoptic events after the date of chilling satisfaction [39]. The SI-x models were developed with the same methods as SI-o with the exception that chilling is not calculated, and instead, the starting date of thermal accumulation (leading to first leaf) is always set as 1 January for all stations/years [40].…”

Section: Modeled Phenology Based On Cloned Plantsmentioning

confidence: 99%

Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology

Liang

Schwartz

Zhang

2016

Climate

View full text Add to dashboard Cite

Abstract:Climate influences geographic differences of vegetation phenology through both contemporary and historical variability. The latter effect is embodied in vegetation heterogeneity underlain by spatially varied genotype and species compositions tied to climatic adaptation. Such long-term climatic effects are difficult to map and therefore often neglected in evaluating spatially explicit phenological responses to climate change. In this study we demonstrate a way to indirectly infer the portion of land surface phenology variation that is potentially contributed by underlying genotypic differences across space. The method undertaken normalized remotely sensed vegetation start-of-season (or greenup onset) with a cloned plants-based phenological model. As the geography of phenological model prediction (first leaf) represents the instantaneous effect of contemporary climate, the normalized land surface phenology potentially reveals vegetation heterogeneity that is related to climatic adaptation. The study was done at the continental scale for the conterminous U.S., with a focus on the eastern humid temperate domain. Our findings suggest that, in an analogous scenario, if a uniform contemporary climate existed everywhere, spring vegetation greenup would occur earlier in the north than in the south. This is in accordance with known species-level clinal variations-for many temperate plant species, populations adapted to colder climates require less thermal forcing to initiate growth than those in warmer climates. This study, for the first time, shows that such geographic adaption relationships are supported at the ecosystem level. Mapping large-scale vegetation climate adaptation patterns contributes to our ability to better track geographically varied phenological responses to climate change.

show abstract

“…GLOBE is also pursuing a lilac budburst protocol as an expansion of a measurement network originally maintained by the U.S. Department of Agriculture [Schwartz and Marotz, 1988].In the lilac protocol,schools make a minimum 5-year commitment to planting, maintaining, and monitoring cloned individuals of Red Rothomagensis (a lilac sh ru b, Syringa chinensis).…”

Section: Data From Elsewherementioning

confidence: 99%

Young students, satellites aid understanding of climate‐biosphere link

White¹,

Schwartz²,

Running³

2000

EoS Transactions

Self Cite

View full text Add to dashboard Cite

Data collected by young students from kindergarten through high school are being combined with satellite data to develop a more consistent understanding of the intimate connection between climate dynamics and the terrestrial biosphere. Comparison of the two sets of data involving the onset of budburst among trees and other vegetation has been extremely encouraging. Surface‐atmosphere interactions involving exchanges of carbon, water, and energy are strongly affected by interannual variability in the timing and length of the vegetation growing season, and satellite remote sensing has the unique ability to consistently monitor global spatiotemporal variability in growing season dynamics. But without a clear picture of how satellite information (Figure 1) relates to ground conditions, the application of satellite growing season estimates for monitoring of climate‐vegetation interactions, calculation of energy budgets, and large‐scale ecological modeling is extremely limited.The integrated phenological analysis of field data, satellite observations, and climate advocated by Schwartz [1998], for example, has been primarily limited by the lack of geographically extensive and consistently measured phenology databases.

show abstract

Synoptic Events and Spring Phenology

Cited by 32 publications

References 13 publications

The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007

The spatiotemporal characteristics of spring phenophase changes of Fraxinus chinensis in China from 1952 to 2007

Mapping Temperate Vegetation Climate Adaptation Variability Using Normalized Land Surface Phenology

Young students, satellites aid understanding of climate‐biosphere link

Contact Info

Product

Resources

About