Phenology - Science topic

Need Answer with Publication or Research references

Dear colleagues,

The registration for the next International Plant Cold Hardiness Seminar is now open. If you intend to join us, please register under:

Even if you are not willing to come, could you please help us to spread the information to anyone who may be interested in the effect of frost on plants from any perspective (eg. physics of ice formation, cellular and molecular response to cold, shift in distribution due to cold temperature, yield loss due to freezing events) in your own community (lab, country, discipline)?

Many thanks,

Guillaume Charrier for the IPCHS organizing committee

Model canola phenology with climate

Hello,

I am in search of a reviewer of the English language in Algiers for my scientific article entitled "Prediction model of a given phenological stage: case of flowering in the common walnut Juglans regia L" that I want to publish.

Thanks,

Ammaria

I have 15 years panel or longitudinal data (measure of monthly vegetation indices across months and over years). I want to try both multivariate timeseries (tried the sktime kmeans clustering) as well as simplified k-means. The question is with regards to variables for the simplified k-means.

I have simplified the data by taking mean and standard deviation of all 12 months (e.g. Jan_Mean, Feb_mean,....Dec_mean & Jan_sd, Feb_sd,.... Dec_sd - total 24 variables). The simplified data resembles to that of multivariate timeseries.

My aim is to cluster the areas which have similar growing conditions. I am using k-means for the same. However, the new data structure have a high correlation coefficient between months and this expected because of the Phenology (Plant growth starts when temperature reaches >=6 degrees in Spring and reaches its peak in July and then goes down by the end of the year). I dont want to lose the importance of each month.

However, k-means has difficulty managing columns with a high correlation coefficient, as it gives more weight to those columns. This can be corrected by substituting Mahalanobis distance for Euclidean distance, but due to the complexity of the calculation, I cannot employ this solution. Therefore, I require your help in addressing the correlation issue so that I can reduce correlation and use the default distance.

I have attempted to aggregate the months by developing seasons/Phenology (by taking the mean and standard deviation) - despite this, there is still a high correlation between some seasons, whereas the correlation between the majority of seasons is moderate (>0.7).

Can I take a month difference (current-previous) to significantly minimize the correlation?

As the data is of the panel form, I would also like to include within-year variations (annual mean and standard deviation e.g. Year2001_mean, Year2002_mean,.....)?

I sincerely need your advice.

I have several hundred frass samples collected over the spring season to estimate woodland caterpillar phenology - should they be oven-dried to remove moisture content before sorting frass vs non-frass (leaf litter etc) and taking measurement of frass mass? If so, what temperature and how long? Literature varies between not dried at all, air-dried, and oven drying for durations 6hr, 24hr, 48hr at temps 50-70 degrees C

Are there international projects where you can research birds and share data, create joint articles? For example, it concerns phenology, bird nesting which is inhabited by artificial nests box or hollows?

Hi everyone ,

The journal 'Plant Science'' asks me to suggest potential reviewers for the submission of my research paper and provide the specific reasons for my suggestion in the comments box for each person.

Please help me convince the editorial board to express the interest of my work which revolves around the implementation of a measurement method to remotely predict the phenological stages of species of economic interest.

It should be noted that the editor may not use your suggestions, but your help is appreciated and can speed up the selection of appropriate reviewers. Won't I risk putting the title and summary of my work on site?

Sincerely.

I need research articles evidences on applications of pf plant phenology.

Biogeography theory predicts that species will either migrate, adapt, or go extint under environmental change. Due to limited mobility in plants, their options are limited to adaptation, including phenological changes, which has been observed for many plants. So, do we have adequate data to be able to identify traits that confer plants the ability to shift their regeneration or flowering phenologies due to climate change? Could you please mention those traits and provide links to papers with empirical evidence. Thank you!

Previous studies usually explain variations in plant phenology in response to climate change using environmental factors (such as, temperature, moisture, photoperiod and nutrient, etc.). Nevertheless, current phenology models are still lack of key mechanisms to be more realistic. Actually, plant phenology is a complex process, in which biotic factors (always be ignored, such as species traits and interactions) could also have important roles in regulating phenology dynamics under natural conditions ( König et al., 2018; Li et al., 2020; Sun and Frelich, 2011). However, whether the relationships between phenology and species traits still exist under climate change is critical for the mechanistic understanding and robust predictions of plant phenology under future climate change scenarios. Therefore, I am trying to design a manipulative experiment to explore the relationships between plant phenology and species traits and quantify the contributions of species traits and environmental factors to changes in phenology under an experimental warming gradient in a temperate grassland. Do you have any ideas and comments on this project? Your comments will be greatly appreciated.

Sun SC, Frelich LE (2011) Flowering phenology and height growth pattern are associated with maximum plant height, relative growth rate and stem tissue mass density in herbaceous grassland species. Journal of Ecology 99, 991-1000.

König P, Tautenhahn S, Cornelissen JHC, et al. (2018) Advances in flowering phenology across the Northern Hemisphere are explained by functional traits. Global Ecology and Biogeography 27, 310-321.

Li DJ, Barve N, Brenskelle L, et al. (2020) Climate, urbanization, and species traits interactively drive flowering duration. Global Change Biology doi: 10.1111/gcb.15461.

I would like someone to help me to interpret, in a simple and clear way, the results of the ANOVA test of the attached image.

Stages 0, 1, 5, 6, 7, 8: are phenological stages of the crop in days of duration.

GDD are: Growing Degree Days.

Regards

I need some data to build apple phenology model for Japan. Any apple phenology data (even for other countries) are greatly appreciated! I need location latitude/longitude, apple variety/maturity rating, observation dates and observed growth stages.

Thanks much!

We are currently working with plant phenology.

We built a linear mixed model for each species group (A Vs B) present in the study area.

We set Mean phenology as the response variable (mean phenology state for each plot ( there are 3 on each locality) is calculated by the mean phenological state from the 12 subplots into each plot is divided. from 1-6, the higher the number the more advanced the cycle) while Days From Snowmelt (The sum of days from snowmelt to the visit day along the summer) is the independent variable. Year and plot nested within the locality are set as random factors.

Once the model is built and revised, we want to predict the mean phenological phase for each species group (A vS B) along the growing season which we divided into 10 DFSM values (10,20,30,50,60,70,80,90,100). i.e, we want to predict a mean phenological state for each DFSM value (10-100).

We did that by the following steps:

##

predict(M1ponderat,newdata=data.frame(DFSM=c(10,20,30,40,50,60,70,80,90,100)), re.form=~0) predFunCong <- function(M1ponderat) { predict(M1ponderat,newdata=data.frame(DFSM=c(10,20,30,40,50,60,70,80,90,100)), re.form=~0) } bbCong <- bootMer(M1ponderat,nsim=1000,FUN=predFunCong, use.u = FALSE) predCong <- bbCong$t quantile(predCong[,1], c(0.05,0.50,0.95)) quantile(predCong[,2], c(0.05,0.50,0.95)) quantile(predCong[,3], c(0.05,0.50,0.95)) quantile(predCong[,4], c(0.05,0.50,0.95)) quantile(predCong[,5], c(0.05,0.50,0.95)) quantile(predCong[,6], c(0.05,0.50,0.95)) quantile(predCong[,7], c(0.05,0.50,0.95)) quantile(predCong[,8], c(0.05,0.50,0.95)) quantile(predCong[,9], c(0.05,0.50,0.95)) quantile(predCong[,10], c(0.05,0.50,0.95))

##

Now the question is, How can I test statistical differences between predictions from each group at the same DFSM level? (i.e, groupA at 10 DFSM VS groupB at 10 DFSM,... groupA at 20 DFSM VS groupB at 20 DFSM,... groupA at 30 DFSM VS groupB at 30 DFSM...nDFSM)

I tried running a rnorm() setting the mean obtained for each group and each DFSM level so I can get a decent data representation and then run a simple ANOVA to compare means. But the problem is that the differences between groups at the same DFSM levels predictions are always significant. The reason is that I think that the difference within groups is so little because of the way that I obtained the mean values, that it will always show the difference between groups A and B.

Any suggerences will be welcome. Thank you so much.

I using origin pro software to make graphs but i unable to prepare the cited graph in origin.

Emergence

Branching

Ear formation

Flowering

Grain filling stage

Dear connection

Kindly let me know when the above stages will start in days

Variety duration- 90 days

Phenological Study

Steps that I need:

1. EVI L8 time series reduced by montly median values;

2. Fit a curve using Savitsky-Golay, Whitakker or Harmonic model;

3 - Extract phenometrics, for example, SOS (start of the growing season) and EOS (end of the growing season).

Do someone knows how to perform these steps using Google Earh Engine?

Thanks

In most of the existing cotton crop simulation models, the phenological events or developmental rate processes are not parameterized as a function of CO2. I wanted to investigate this since it will impact model results in case if the phonology is affected by atmospheric CO2 levels.

Well,I was trying to extract phenology parameters by timesat-3.3. However , there are 3 types of land cover, and their numbers of seasons in 1 year are different. And I input the Globe30 data to TIMESAT to divide different land cover type, but the software return an error, say”read end of file ,unit30000,D:\timesat\globe30.tif”

I am trying to find a simple method to calculate degree-day accumulation for the small tortoiseshell (Aglais urticae). The development of this species is not directly related to the ambient temperature (Bryant et al. 1997).

When a Maize plant is given normal condition for growth development, stand & establishment, it grows without tillering. But, when it get infected by any infestans for eg, Stem borer or FAW that infestes on Plant whorl making it unable to grow any further tall.

I intend to study the relation between the beginning of the flowering season for different wooden plant species and the meteorological conditions over the years. For that I need to identify those periods from satellite imagery.

I am working on my thesis and am trying to find a suitable way to analyze plant phenology data. I want to analyze the effect of different long term treatments on the average flowering time of tallgrass prairie angiosperms. Specifically I am analyzing the effect of frequency of treatment and season of treatment on plant flowering times. My treatments are annual burn, quadrennial burn, annual mow, and quadrennial mow. Each of these treatments were carried out in either spring, summer, or fall in different plots with three replicate plots for each season. Including the three control treatments where no burning or mowing was carried out I sampled a total of 39 plots. I recorded data roughly twice a week through the entire growing season in 2020 where I recorded the species flowering in each plot and a rough estimate of the number of flowers for each species within each plot. I would also like to find a way to compare the biodiversity between different treatment groups. I can calculate the Shannon Weiner index based on the maximum number of flowers for each species that appear in the plots but I am unsure as to how I can do a comparison between all of the treatments at once to provide a clearer picture. I will attach a copy of my excel spreadsheet containing my sampling data for the year, hopefully that will provide a clearer understanding of what I am attempting to accomplish with this study. If anybody on this site has experience analyzing plant phenology samples I welcome your input. Thank you for taking the time to answer my question.

I usually find it confusing when I see the comparison of varieties suitable for different locations, having different days to flowering and days to maturity, different plant heights, very old vs latest and then concluding only on NUE parameters.

Dear all,  

I am currently a guest editor for the special issue "Mediterranean Olive Trees and Olive Oil under Climate Change", which will be published by the journal Agronomy (ISSN 2073-4395, 2019 JCR impact factor = 2.259, Quartile 1).

The deadline is June 2021. Please feel free to contact me if you are interested and also feel free to disseminate this message in your groups.

https://www.mdpi.com/journal/agronomy/special_issues/mediterranean_olive_trees

Yours sincerely,

Many field experiments particularly for crop plants faces challenges from sowing to germination to phenology up until yield. Too much a few of these challenges includes birds infestation, microbial reactions on seed, pest infestation and other abiotic stress.

To this effect most experimental unit looses alot of plant stands. When do we then consider this plots a missing plot in Soybean and Groundnut and at what density? Possible articles please...

I came out to realize that a person who is enlisted as an author of some publications that I am the REAL AUTHOR, is marked instead of me. How do I change that?

Example:

Standardized sampling plan for Aphis gossypii based on the cotton cultivar, plant phenology and crop size

There are different phenological stages exist of crop from growing stage to emergence , tillering,flowering,grain setting to maturity. How to determine the duration of each stage if we have total growing days e.g if I have total 150 days of wheat crop and I want to find duration of each growing stages. Moreover there are four growth stages according to FAO like initial,development,mid and late stages. How we can map these four stages with phenological stages?

how to note Phenological stages of wheat for making graph and tables for research paper ?please help

I have built a phylogenetic tree using categorical functional traits, such as pollination and dispersion syndromes, phenology, etc. Now, I can see the dicotomies and the points in which the plant species diverge, lineages, and so on. However, the interpretation itself seems to be a little tricky because I want to go with quantitative and qualitative discussion but don't know where to start from.

In general, plants host endophytes (bacteria and fungi) depending on phenological conditions.

Stinging nettle (Urtica dioica) has been widely recognized to be associated with endophytes and especially fungal species.

I am wondering if there are nettle leaves without any endophytic colonization?

I am trying to pick a platform to be used for web/mobile based entry, management, storage and sharing of the data coming form biodiversity surveys (i.e. occupancy, density, phenology, etc.). Could anyone recommend an existing tool that may serve this purpose?

Thank you in advance.

Hello everyone,

I am trying to process MODIS images from a study area, I want to extract phenology metrics and I have seen that the most used software is TIMESAT. I have already extracted phenological metrics from certain pixels but I want to do it in a full image. It is possible to automate the process in TIMESAT to extract the information of the metrics? Or anyone knows other software where I can do that?

Thanks in advance

On the basis of Phenology, Morphology and Molecular leve.

I have been looking for information about the duration of the activity of pollinators after they emerge. I am aware that this will vary among species. However, there may be some average value.

I have found a lot of information about phenological decoupling but non of them specify (or at least I have not found it) what is the length of the activity period in the case of insect pollinators.

Can anyone help me?

Thanks in advance

:)

Tree phenology generally refer to calendar of events taking place in life history of a tree. It includes from leaves emergence to fruit or seed setting all for a silviculturist. I want to focus on phenology of flowering and fruiting of trees vis and vis seed quality, determination of seed maturity indices and finally impact on viability/ seed germination. Is there any such studies or corelation has been develop for tropical trees specially Anthocephalus cadamba syn. Neolamarckia cadamba . If such studies carried out any other tree species are also welcome to share.

Many of my friends are advocating to use high tech approaches, at great expense, versus local field assistants. For example, the use of drones to monitor phenology, rather than have a person walk through the forest and look. A local assistant will see things like aborted fruits, or which animal is eating the fruit, or if fruits have lots of insect damage. Local assistants add to local conservation efforts and build linkages between researchers and the community. So the question is, why are people flocking to high tech approaches, when in, my humble opinion, the data is worse and the values for conservation is poor.

Thanks for your thoughts.

Colin

I am interested in taking tissue samples of chilli plant at suitable stages.

Please guide.

Epigenetics is the study of heritable phenotype changes that do not involve alterations in the DNA sequence. Genetics involve with change of DNA sequence. Then what is more effecting.....

I want explore the consolidated plan rather to ameliorate discussion on age of tree, produce of tree that drain nutrients etc. The dose and its time of application is very important, consider the phenological phases of tree.

We need a list of species associated with functional traits that allow us to characterize the functional diversity and its possible relationships with different phenological events of each group.

Thank you very much in advance !!

Hi everyone.

I am looking for remote-sensing product that would give the date (day of year) freezup and breakup for pixels (~5 km resolution) in the Arctic. Before calculating it myself, I would like to know if such product is already available.

Cheers,

Phil

The package bipartite in R is extremely useful for those of us who study plant-animal interactions. The plotweb function gives you a visual representation of two sets of species that interact, such as plants and pollinators. I am attaching an example of my study area, published in Gonzalez O, Loiselle BA. (2016) Species interactions in an Andean bird–flowering plant network: phenology is more important than abundance or morphology. PeerJ 4:e2789 https://doi.org/10.7717/peerj.2789

I want to order the species by the number of interations, from high to low in this graph. If you can share me the piece of code that is needed to do so, I will be very grateful.

I would like to classify cropping system based on phenological pattern using a Raster Stack.

Recently, I have known that there are several methods can be used for classifying cropping system and land use such as Support Vector Machines, Random Forest etc.

Could anybody help me to apply it into a raster stack using R language?

Thanks.

In our department we are currently developing approaches to derive vegetation parameters across large areas from mostly optical dataset (Sentinel-2 and Landsat).

However, a commonly faced challenge is to derive some sort of mosaics that allows the application of a regression or classification algorithm across large areas without a substantial part of the investigated areas being affected by artefacts caused for example by clouds, phenological differences, shadows, etc.

I am aware of algorithms like STAR-FM (combining Landsat and MODIS) and some other Landsat-interpolation approaches (e.g., applying the Google Earth Engine to calculate median values for a certain time period etc.).

However, the options for Sentinel-2 are still sparse and many of the existing algorithms seem to be not readily available on open-source platforms (STAR-FM might be an exception).

So my question: What kind of appraoches do you use for large-scale applications of optical satellite data like Landsat and Sentinel? Anyone aware of some interesting new approaches currently being developed?

I am doing crop system classification for paddy field.

I recently employed MODIS products (MOD13Q1) and used R software for building the algorithm.

I know some method such as Empirical Mode Decomposition and Linear Mixture Model, but I don't have any idea how to apply it into algorithm based on RASTER STACK TIME SERIES using R.

I will be glad if you can share your knowledge about that.

Great thanks!

I am doing analysis of MODIS data in order to build yield model from the Vegetation Indices.

Recently, I used R since I have found it's been used widely by many research regarding time series Remote Sensing.

I found several packages, but it was still confusing me, "what should I do first with my Raster data downloaded from USGS?" before I use the packages to analysis my stack of data.

If you have some best practice tutorial, I will be glad if you can share it to me!

Many thanks!

Regards.

a. plant first day of green up stage and last day of complete leaf coloring stage?

b. Relationship between plant phenology, biodiversity and biomass of plant species?

I want fit a beta growth model like  Wang and Engel, 1998 (DOI: 10.1016/S0308-521X(98)00028-6) to simulate phenology of  mung bean (Vigna radiata). How to determine the days required to attain a phenophase after getting models parameters from a non linear fit?

I have 7 images in 2D from different angles of a plant. To measure the plant growth, I need to create the 3D version of them to treat all in Matlab by using graph cut techniques in 3D. (I have many different phenological phases of the plant in images) I have attached the examples of the pictures. Could you please recommend any free tool or an algorithm to apply like using SIFT and processing some other methods in cascade etc.? Thank you for your reply in advance.

Does the cumulative (day degree) of a plant consider mean temperatures or maximum temperatures?

Est-ce que le cumul (degré jour) d’une plante prend en considération les températures moyennes ou les températures maximales ?

We want to correlate in situ phenological data of growth with images from pheno-cam and with satellite images in small territories as patches of shrublands

I have counted numbers of individual of different species which have divided into eight different phenological states. Now I want to calculate diversity indices, should I need to add all stages of phenology of given date?

I am looking for some information on the use of degree-day based stage-structured insect phenology model using SAS. Such models use degree-day requirements for insect growth alongside field collected data on insect phenology. Because the field data represent different overlapping stages/instars in the field at the same time, these are stage-structured data. I want to know if it is possible to write such models using SAS. Any advise on coding such models in SAS is appreciated. Thanks in advance.

Climate change is recognized to affect marine organism phenology. But what about fishing activities? Did anyone read any article dealing with the effects of fishing activities on marine organisms phenology (shift in reproduction period, migration season...)?

This year the "Kanikonna" - scientific name "Cassia fistula" has blossomed so early unlike in normal years as like in the month of April, Vishu Festival which is the beginning of Kerala New Year.  The traditional knowledge of indigenous people says that it is connected to the incoming drought or wet situation that may occur but this say is  without any scientific basis., I wish to get some information from those who have done any similarity studies on this aspect..

The authors of “Seasonal changes of physiological parameters in sweet cherry (Prunus avium L.) buds“ (Scientia Horticulturae 172 (2014) 183–190) used data (biochemical analyses of sweet cherry buds with a temporal resolution of 1 week) to confirm their hypothesis that the date of the first peak (maximum) of the ABA concentration in winter (see their Fig. 2 A) is related with the “release of endodormancy”. Unfortunately, they did not explain sufficiently how they tested if this date really coincide with the “real” release date and how the “real” release date was identified, respectively. I assume that they determined this “real” release date as the first date after that some (or all? This was not described!) buds of twigs, which were cut at this date, were able to reach the beginning of blossom under controlled conditions in a climate chamber.

Because of the temporal resolution of 1 week, there could be a random difference of some days between the “ABA-date” (peak of ABA) and the “climate chamber date”. Probably this difference will be increased by uncertainties in the determination of the “climate chamber date” and other unpredictabilities. Let us assume that the standard deviation s (of the yearly data, not of the mean values) of this date-difference is about 5 days (5 d), and that the difference is normal distributed with zero mean and that the data of different winters are statistically independent. In this case the 95% “confidence” interval (:=Conf95) for the mean difference is +/- t(0.975, n-1)*s/SQRT(n) (n=number of years; t(0.975, f) = 97.5% t-quantile with f degrees of freedom). For n=2 (the number of years used in the article) we get Conf95 = +/- 12.7 * 5 d/SQRT(2) = +/- 45 d. This means that the year to year deviations of both dates (even of the means over the n years) could be very large and the good coincidence in 2011/2012 and 2012/2013 could have been achieved by pure accident.

Therefore the conclusion that the ABA-peak defines the end of endodormancy is unreasonable. The authors had better waited until spring 2014 to involve a third year in order to decrease the uncertainty [see attached figure; with n=3 the Conf95 reduces to +/- 12.5 d (better but is yet very wide!), provided that s remains as small as 5 days].

For the validation of chilling models also more then two years of data are required. For a successful comparison of two models, more than 5 (probably 10 and more) years are necessary. See my OpenReview of the present article.

By the way: There are a number of important publications dealing with this group of themes which are not mentioned in this article. These articles advocate different or even contrary hypotheses concerning the role of ABA for the release of dormancy. These articles are:

Chao WS, Foley ME, Horvath DP, Anderson JV (2007) Signals regulating dormancy in vegetative buds. Int J Plant Dev Biol 1:49–56.

Faust M, Erez A, Rowland LJ, Wang SY, Norman HA (1997) Bud dormancy in perennial fruit trees: physiological basis for dormancy induction, maintenance, and release. HortScience 32:623–629.

Rinne P, Hänninen H, Kaikuranta P, Jalonen JE, Repo T (1997) Freezing exposure releases bud dormancy in Betula pubescens and B. pendula. Plant Cell Environ 20:1199–1204.

Horvath D (2010) Bud dormancy and growth. In: Pua EC, Davey MR (eds) Plant developmental biology—biotechnological perspectives.

Springer, Berlin Heidelberg, pp 53–70.

Does anybody have an idea about root phenology of rice?

effects of industrial water pollution on the phenology, yield and production of rice pakistan papers

I want to know about the coding methods for analyzing phenological changes, which is applied in Indian Himalayan Biodiversity

What is the zero temperature for the development of plants, for the different phenological stages?

Trees are very scarce in arid regions and more or less restricted to water catchment areas. What are the most important parameters that should be studied, specially in remote areas and difficult to access periodically.

During phenol equilibration hydroquinoline is added as an indicator. But what is the role of mercaptoethanol here?

I am asking for plant reproductive phenophase synchronization.

Hi,

I needed to prepare water saturated phenol for RNA extraction. I did as following: liquefy crystal phenol at 60oC, then add 100ml of liquefied phenol to beaker and followed by adding equal volume of DEPC-treated water, and mixed it by stir-bar. After waiting about 40min, I see three layers, the lowest is transparent, the more upper (middle) is milky, and the higest is transparent. I pipetted off two the uppers and repeated with second adding of equal volume of the lowest. After mixing and wating about 40 min, I could not see phenol phase. What did I do wrongly ? I think crystal phenol is in good condition.

One more, the water saturated phenol will used for RNA extraction. I did not treat container with DEPC , just autoclaved them. Is it safe for RNA working ?

P/S: I am a beginner, and poor for taking such experiment!

Could anyone please suggest me a suitable protocol for determining SCFA ,amino acids,Bile acid, phenolics, sterols , indoles and heterocyclic amines in Human fecal samples using UHPLC-MS and GC-MS?I want to study the effect of different dietary habits on these metabolites.Can I use  same method for different biofluids?For example,The method tested on urine can exactly be applied on fecal samples?

For small scale areas you can reach your goal at least for certain plants with a simple regression model. For larger areas like big countries or continents I still don't have a proper solution. My models include linear and squared elevation, latitude, distance from sea etc., but the deviations are still to high. I've tried also some kriging methods but also without success. The uneven distribution of observation points is another problem - in certain regions I have mean distances of a few kilometers and others with more than 100km. I'm sure there are many smart ideas available.

I'm working on forest phenology-climate change relation in Yunnan, China. From literature review, I knew that in tropics and semi-arid areas rainfall controls vegetation phenology, but could'nt find any models on what degree to affect daily precipitation on vegetation phenology.

Hi all, I would like to ask if there is any current database for plant phenology information, particularly in Southeast Asia? Thanks!

These will be used in cold, boreal conditions. Thanks!

We are investigating climate impacts on sugar maples (and other maple species) in the production of maple syrup. This process is very dependent on climate, requiring freezing night temperatures, and thawing day temperatures. We would like to request large volumes of data from people who are tapping the trees across its range in North America (Eastern Canada to Southern Appalachians). I'm trying to determine the best online platform where people can contribute multiple fields of data. 

Besides the study published by Chapotin et al. (2003. Plant Cell Environm), I am searching another publications focused on succulent flowers, especially in physiological terms. However, any other kind of work would also be useful (floral biology, pollination, herbivory, phenology, taxonomy...). 

Phenology and soil nutrients

Literature with this topic just reach few...

I am looking at effects of insecticide application on forest arthropods and would like to test the influence of various species traits (e.g. phenology, voltinism, dispersal ability, feeding type, habitat stratum...) on these impacts. I am looking for such information for various groups of temperate forest arthropods with an emphasis on Lepidoptera, Hymenoptera and Coleoptera. Thank you!

I have come across sugarcane model from Brazil, which I could not download, although I have copy of this model paper published

Our interests are phenology prediction, biomass growth rates over a period of time, partitioning into plant parts, water-nitrogen stress effects, quality in terms of culturable sugar (CCS) (simple model)

Model like QUEFTS to be modified for inclusion of Fe, Mn, B effects alongwith NPK (another vision)

Phenology prediction like Sinclair approach 

regards