نتایج جستجو برای: growing season

تعداد نتایج: 249451  

2000
J. WANG P. M. RICH K. P. PRICE J. Wang

Normalized Difference Vegetation Index (NDVI) is generally recognized as a good indicator of terrestrial vegetation productivity. Understanding climatic influences, in particular precipitation and temperature, on NDVI enables prediction of productivity changes under different climatic scenarios. We examined temporal responses of remotely sensed NDVI to precipitation and temperature during a nin...

2013
Jianxiao Zhu Wanqin Yang Xinhua He

Relationships between abiotic (soil temperature and number of freeze-thaw cycles) or biotic factors (chemical elements, microbial biomass, extracellular enzymes, and decomposer communities in litter) and litter decomposition rates were investigated over two years in subalpine forests close to the Qinghai-Tibet Plateau in China. Litterbags with senescent birch, fir, and spruce leaves were placed...

2009
Kristin K. Gardner Brian L. McGlynn

[1] In recent decades, the RockyMountainWest has been one of the fastest growing regions in the United States. Headwater streams in mountain environments may be particularly susceptible to nitrogen enrichment from residential and resort development. We utilized stream water chemistry from six synoptic sampling campaigns combined with land use/land cover (LULC) and terrain analysis in geostatist...

Journal: :Tree physiology 1996
T Verwijst D Z Wen

We established linear and exponential relationships between leaf area (A) and leaf length (L), leaf width (W), W(2), L(2) and LW, in Salix viminalis L. Most relationships were significantly nonlinear, but good fits were obtained with both linear and exponential models. The nonlinear relationship between A and LW differed for leaves from sylleptic and proleptic shoots. Leaves from sylleptic and ...

2015
Kun Zhou Allan L. Jensen Dionysis D. Bochtis Claus G. Sørensen

Statistics on the machinery performance are essential for farm managers to make better decisions. In this paper, the performance of all machineries in five sequential operations, namely bed forming, stone separation, planting, spraying and harvesting in the potato production system, were investigated during one growing season. In order to analyse and decompose the recorded GPS data into various...

2012
Haiying Yu Jianchu Xu Erick Okuto Eike Luedeling

BACKGROUND Monitoring vegetation dynamics and their responses to climate change has been the subject of considerable research. This paper aims to detect change trends in grassland activity on the Tibetan Plateau between 1982 and 2006 and relate these to changes in climate. METHODOLOGY/PRINCIPAL FINDINGS Grassland activity was analyzed by evaluating remotely sensed Normalized Difference Vegeta...

2001
SCOTT M. ROBESON

Using daily minimum air-temperature (Tmin) data from the state of Illinois, the dates of spring and fall freezes – and the resulting growing-season length – are examined for trends during the period 1906–1997. Of the stations in the Daily Historical Climate Network, most show trends toward earlier spring freezes; however, trends in fall freezes are not consistent over the station network. Altho...

2011
Justin T. Schoof S C. Pryor

A comparison of two statistical downscaling methods for daily maximum and minimum surface air temperature, total daily precipitation and total monthly precipitation at Indianapolis, IN, USA, is presented. The analysis is conducted for two seasons, the growing season and the non-growing season, defined based on variability of surface air temperature. The predictors used in the downscaling are in...

Journal: :Remote Sensing 2013
Kjell Arild Høgda Hans Tømmervik Stein Rune Karlsen

Global temperature is increasing, and this is affecting the vegetation phenology in many parts of the world. In Fennoscandia, as well as Northern Europe, the advances of phenological events in spring have been recorded in recent decades. In this study, we analyzed the start of the growing season within five different vegetation regions in Fennoscandia using the 30-year Global Inventory Modeling...

2017
Christopher Nunn Astley Francis St. John Hastings Olena Kalinina Mensure Özgüven Heinrich Schüle Ivan G. Tarakanov Tim Van Der Weijde Aleksander A. Anisimov Yasir Iqbal Andreas Kiesel Nikolay F. Khokhlov Jon P. McCalmont Heike Meyer Michal Mos Kai-Uwe Schwarz Luisa M. Trindade Iris Lewandowski John C. Clifton-Brown

The development of models to predict yield potential and quality of a Miscanthus crop must consider climatic limitations and the duration of growing season. As a biomass crop, yield and quality are impacted by the timing of plant developmental transitions such as flowering and senescence. Growth models are available for the commercially grown clone Miscanthus x giganteus (Mxg), but breeding pro...

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