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Forest - Science topic

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Forest plays a great role in the domain of climate change. Field instruments are very important for studying forest ecology (Kindly see the VDO attached)
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The first requirement for any one wanting to carry out forest ecology is interest. The other requirements are background knowledge, equipment and materials and some one within this carrier to help. the rest you get as you study.
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I am searching for a method that allows to estimate the effect of exposure to PAR on establishment and growth of tree seedlings below a forest canopy, in a context where completely overcast conditions are hard to find.
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Hi,
I am also searching for a similar methodology. Did you received any?
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Forests are the biodiversity wealth of natural ecosystems and a key factor in the wealth of the planet's biosphere. However, this natural wealth is rapidly being eroded by human civilisational activities. The scale of forest fires has been increasing in recent years. The increasing scale of forest fires is a result of the ongoing process of global warming. In some regions of the world, forests are also being burned in order to acquire more land for the cultivation of agricultural crops, which is usually carried out under predatory and unsustainable farming practices. It is well known that forests are one of the key factors in reducing the rate of increasing CO2 in the atmosphere, an important factor in slowing down the greenhouse effect and consequently also in slowing down global warming. It is therefore essential to increase the scale of forest fire protection.
The following questions are therefore becoming increasingly topical:
How to protect forests from fires?
What is your opinion on this subject?
What do you think about this topic?
Please reply,
I invite you all to discuss,
Thank you very much,
Regards,
Dariusz
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Remove all forest litter (dead branches from lower parts of trees). It provides the "fuel" for the next "wild" fire.
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Globally, deforestation processes continue to outpace aforestation processes.It is well known that forests are one of the key influences on the climate, on the stability and sustainability of the climate, the maintenance of a humid microclimate, local water management, the state of biodiversity in regions.
Forests are also one of the key factors in reducing the amount of CO2 entering the atmosphere. At the UN climate summit COP26, it was agreed that by the end of this decade, i.e. by the end of 2030, national and global forest deforestation processes should be completed and forest afforestation processes should be accelerated. The restoration of forest ecosystems should be carried out in accordance with the principles of ecology of specific environmental formations of forest ecosystems consisting of replacing monocultures of tree crops with biodiverse restored, tree-rich forest ecosystem formations adequate to the specific local environment, geological and climatic setting.
But why do we have to wait so many more years for this? Why have such decisions not been taken earlier?
Why do the processes of afforestation not already prevail over deforestation?
Why are forests still being cut down when we know how important they are for slowing down the progressive process of global warming?
What needs to be done so that aforestation processes already prevail over deforestation?
How can afforestation processes be implemented quickly and effectively?
How can afforestation processes in civilisationally degraded areas be carried out quickly and efficiently?
How can afforestation be carried out with a high level of biodiversity in restored natural forest ecosystems?
What do you think about it?
What is your opinion on this topic?
Please reply,
I invite everyone to the discussion,
Thank you very much,
Kind regards,
Dariusz
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Choose to plant trees as part of your life.
I think we have choices about what we focus on as a culture. While none of us has the power to decide that, we can decide for ourselves and those around us what activities we engage in. We decide to promote reading and learning or not. We decide to promote diversity and freedom, or the censorship and oppression of those around us. We create our culture via many small decisions.
Likewise, we can decide to make planting trees part of out culture or not. And not just one day a year when we plant a tree,... that means not much.
How can afforestation be increased? - Quora
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I'm a scientist (organic chemist) trying to visit the Amazon rain forest. Many private agencies offer some visit to the forest, however, they misuse animals so I don't want to support such companies. Thus I would like to join some scientists conducting research in the forest. I can help with sample collection, chemical processing, purification and analysis of the samples, data analysis...
Of course, I'll pay for my own costs.
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Take care and have security there though :)
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Hello,
I am looking for suggestions about international research centers or universities involved in Papua New Guinea. The research topic should be preferably related to forestry, climate, and biodiversity.
Thank you.
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The Southern Cross University at Australia. Excellent university
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Dear colleagues, I am performing meta-analysis of proportions using this paper "Conducting Meta-Analyses of Proportions in R" by Naike Wang.
But I have faced a couple of questions in terms of that:
1. Is it possible to exclude papers from forest plot, which do not contain data? I have a quite huge database (311 studies answering multiple questions and each study does not contain information about all the questions). 2. As I am coming to subgroup analysis, I am receiving the following error: Number of rows in the model matrix (311) does not match length of the outcome vector (6). I have tried to read the variable as factor, but it does not help. Do you know any ways to fix this problem?
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Thank you, Tope Oyelade , for the answer. The problem is that STATA is neither available nor familiar to me. And I failed to find the solution in R or SPSS.
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I need to be able to distinguish forest stands from untrees (shrubs, paths, grasslands) from a RGB image automatically. Basically, the result should be a classification of the RGB image in (1) forest stands and (2) untrees. Do you know any tool, i.e. R or Python package that already exists to do that? Thanks in advance.
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Ben Weinstein has developed some tools in Python. Here are a couple of his papers.
1. DeepForest: A Python package for RGB deep learning tree crown delineation ( )
2. Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks ( )
Cheers.
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Hi
I am working with the UAV image data.
my study area is a dense forest.
How can I extract the dieback of the trees with deep learning techniques? do you know any package for this aim?
I want to extract the steps of the dieback trees.
thank you so much
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Hi dear Shafagat
Thank you for sharing the information and article.
I downloaded the article.
Good luck
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It is to evaluate forest lose and gain from 1984 to 2021.
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I think it is only appropriate if your using Collection 2 level 2 Landsat satellite images that has already been atmospherically corrected. But I will advise that you perform all the corrections on the level 1 imagery for an enhance results.
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Which sampling method/methodology is the best to enumerate fruit crop size of Lantana in lantana invaded area & non-invaded area of forest?
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Hello Sepu; Since invasiveness seems to be a key part of your study. Andrew points out the need to distinguish how the seeds are dispersed. Where I live, Birds eat the Lantana fruits. Do you know the germination rates of seeds that simply fell off the plant versus those that were animal-dispersed? That number will influence your "fruit crop size". Best regards, Jim Des Lauriers
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What kind of inputs we should consider for amazonian nuts which aren't cultivated by humans ?
The only inputs which I thought of are the forest as extensive area, and the rainfall.
Are there any other inputs which should be considered ?
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  1. Dear researcher i would like to know about functional traits. How should be considered functional traits in any Forest ecosystem ? How we can traits be measured or inferred? Are the traits correlated or traded-off. Despite which, and how many, traits should be assessed and monitored in particular study site? And are the functional traits various with respect to region or location habitat, altitude gradient and most importantly how should trait data be analysed?
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I'm working on the ecological assessment of one herb species, which basically entails its status assessment from nearly 30 different study locations using the quadrat sampling method. When we do phytosociology of herbaceous species, which includes all of the plants in that particular forest, we proceed like 10x10 for trees, then 5x5 for shrubs, and then 1x1 for herbs. But how many quadrats/sites will be needed to evaluate the status of a single herb?
I appreciate the suggestions in advance. Thank you
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Hello Kalpana; In studies of ants asking the same general question a common practice is to continue sampling until your species-area curve draws to an asymptote. At that point you "have sampled enough". Except in the most uniform communities, I've never reached an asymptote. That is, there there are many, very rare species that are unlikely to be sampled at all.
It is likely that your tree and shrub sampling will become uninteresting long before you have " sampled enough" of the herb stratum.
Best regards, Jim Des Lauriers
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I am trying to add data for one of the studies into RevMan but it won't allow it. Am I doing something wrong?
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Hazard Ratios are on a log scale, which cannot handle negative values or zeros. What's almost certainly happening is your meta analysis is failing because the 0 is an illogical value.
This also means that there is something wrong (or non-standard) with the source that's giving you HR = 0. Perhaps the authors rounded down an extremely small HR. Or maybe the authors are taking an unorthodox approach and converting their HR to a linear scale by deriving its exponent.
If the authors are indeed using the linear scale for their HR, you could convert it back with a log function, which would give you HR = 1, indicating no effect, just as HR = 0 on a linear scale would (ignoring confidence intervals and p-values). If you use R, you can see this by entering "exp(0)" into the console, which will give you 1, or entering "log(1)", which will give you 0.
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Hello Dears
My goal is to classify dense forest tree species using drone images. Is it possible to classify dense cloud points? If yes, in what way and in what software?
Thankful
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Am Doing My Research Work in "Growth Potential Of A Forest Cover"
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Dear Sangram Sahoo . The best famous one is SPSS.
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I have this forest plot using the standardized mean difference, however, the confidence interval lines for each study got inside the study square because they have narrow values relevant to the scale, is there a way to change the scale? Or should I just do a sensitivity analysis to see if the study with the highest SMD would affect the overall estimated SMD?
I did the meta analysis using metacont using random-effect model and Cohen's method and plotted using forest.meta from meta package.
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The problem in the CIs is caused by the practically impossible outlier. As dear Gordon mentioned, an SMD of 15 does not happen. By including such an outlier, the forest function tried to generate a plot with an X-axis from -15 to +15 in a very limited space. So, on the plot, the CI lines will be very narrow.
Of note, the problematic outlier has caused other issues:
Your overall SMD is practically an unweighted average. Why? In the random-effects model, the weight is usually calculated as 1 / (t^2 + vi), and as your t^2 is that large (about 20), the influence of the variance of each effect size (which is usually less than 1) is almost nothing.
Also, such a t^2 is practically impossible. Its square root is about 4.5. We cannot expect such a standard deviation for the effect sizes.
I hope this clarifies the importance of the problematic SMD. I would follow Gordon's recommendation. If I could not find any error in data extraction, and I could not get an answer from the authors, I would exclude this study, and I would write in the manuscript something like "...this study was excluded, as the effect size was practically impossible (SMD = 15), indicating some errors in the report."
Finally, correcting or excluding this SMD will resolve the problem with the CI lines.
Good luck with your work.
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Hi,
Need help regarding variance calculation for meta-analysis. Lets consider a hypothetical dataset that includes native forest and plantation forest (paired design) water yield (%). This dataset contains water yield data from 50 studies. With this data, I can easily calculate response ratio where RR=ln (plantation water yield/native forest water yield). Unfortunately, in this dataset, we don't have sample size/standard deviation/standard error for each study. Now my question is: how can I calculate variance for individual studies without sample size/standard deviation/standard error? Without the variance, we can not create a forest plot and do meta-regression (if we add variable).
A hypothetical dataset is attached here. Any help is highly appreciated. Thanks.
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Andrew@ Thanks for your reply. Recently I have gone through a Science paper (https://www.science.org/doi/10.1126/science.abl4649) where they used a similar type of dataset. Due to the lack of sampling variance information for RR, they gave score/weightage for each study and the inverse of weight for each RR was then considered as its sampling variance (supplementary material page 11; equations 9,10, 11 and 13). With this approach, the authors conducted multi-level mixed effects and meta-regression.
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I recently included GEE models in the statistics and calculated it with the wald chi square test.
Does anyone know how to correctly report the findings considering APA-Guidelines?
e.g we would report the findings of a rANOVa the following:
"No main effect of group factors F(1,92)=.52, p > .05"
How do you report these findings? Please find an output of the model attached. Thank you!
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Hello Melanie,
Along with your table, something as simple as this:
"Of the three tests, only that for scoresED_1 was statistically significant via the Wald test, W(1) = 5.203, p = .023."
Then, of course, go on to explain the meaning of this effect in the context of your research question(s) as well as implications of the non-significant results for time and score*time interaction.
Good luck with your work.
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We have a problem of snake predation on B type nest boxes (entrance hole diameter: 32 mm). The culprit is the Aesclupian snake (Zamenis longissimus), and they eat eggs and nestlings alike. The nest boxes are hanged on trees at c. 3-4 m height at a periurban forest. We already tried to cover the tree trunks with plastic sheets (following Navalpotro et al. 2021, DOI: https://doi.org/10.32800/abc.2021.44.0103) and also relocated the nest boxes to more stand alone trees (the canopy of which does not (too much) overlap with neighboring trees; this is not always100% as it is not easy to do so in a forest. But all in vain. It seemingly worked for a week or two but then the predation continued and the situation is the same this year. I attached some pictures that can help evaluate the situation.
So the question is: do you have any good suggestion for this problem? Perhaps to treat the plastic sheets with some smelly material?
Thank you in advance!
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Thank you for the helpful comments, you gave me some good ideas that I can work with. Unfortunately, the nest boxes we use are a bit specific (se the 3rd pic), therefore I cannot install a Noel guard on them. However, now we designed a spec. and cheap snake guard on some of the trees and are waiting to see if they work.
@ Michela: this was the first thing we tried (see my original post above) but it did not work. The snakes are probably capable of wrapping themeselves around the treetrunk by sheer muscle power regardless of the smooth plastic foil into which the tree trunks were wrapped.
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I want to measure the correlation between deforestation and Carbon Stock in Sundarbans Forest
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Replace land survey by airborne Lidar measurements. The forest ministry of Quebec has made huge steps in this direction. - LiDAR - Modèles numériques (terrain, canopée, pente) - Jeu de données - Données Québec (donneesquebec.ca)
- La technologie LiDAR aérien - Ministère des Forêts, de la Faune et des Parcs (gouv.qc.ca)
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Reference book including statistical procedure for data analysis
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Carbon Stock Estimations of forests for Climate Changr Mitigatn.
Yitayal Tebeje
Ref. https:// www.amazon.com >carbon
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In meta analysis & Forest plots, with a heterogeneity of 100% & asymmetric funnel plot, is it ok to carry on with the interpretation (p is 0)?
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I think your question should be more precise.
First of all, what types of meta-analysis such as meta-analyses of intervention studies or DTA review or proportion?
For intervention studies, your heterogeneity value could be problematic and you should stay solely on systematic review not undergoing meta-analysis. Otherwise the pooled outcome could be inconsistant.
Asymmetric funnel plot is subjective assessment. This also results from a few number of included studies.
The last thing is your p-value.
This p-value is belonged to effect size or heterogeneity?
In proportional meta-analysis, the heterogeneity is not a major issue.
Best of luck
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I am working on Forest Canopy Density. There is a parameter called "Scaled Shadow Index(SSI)" while computing Forest canopy density. In most of the papers I found that, SSI has been calculated by "Linearly Transforming" Shadow Index. I have computed the Shadow Index. But i am not getting the idea to compute Scaled Shadow Index. Kindly help me out. Moreover, If I am using Landsat 5 and 8 Surface Reflectance Image for FCD Mapping and as the Reflectance value ranges from 0 to 1, is it still mandatory to normalize these Surface Reflectance data before calculating Vegetation Indices?
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The density clustering with wavelength clustering algorithms and Clustering by Wavelet Analysis may help your work
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A colleague is interested in the problem of mega-fires. If there are scientific papers for the United States, Australia or France, there is little research for South America. In France, a mega fire can be identified from 1,000 ha, in the United States or Australia from 10,000 ha.
Are there any studies in South America (e.g. Chile)?
Are there objective criteria for defining a mega fire?
Many thanks!
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Nicolas Maestripieri The answer to your question is here:
"definition of megafire as fires > 10,000 ha arising from single or multiple related ignition events. We introduce two additional terms – gigafire (> 100,000 ha) and terafire (> 1,000,000 ha) – for fires of an even larger scale than megafires."
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The seeds were collected in autumn/winter. A pink thin shell covered the seeds. No pulp was found, the seeds are dry. The seeds were found in South Germany at the edge of the forest. Unfortunately I have no more information. I'm looking forward to any suggestions. Thank you :-)
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Algunas aves paseriformes (mirlos, petirojos, etc.) son buenas dispersoras de los frutos y semillas de estas plantas, frecuentemente plantadas en zonas habitadas. Es fácil observar en el suelo, cerca de las plantas de hiedra, estas semillas removidas por las aves que las consumen.
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Hi all,
So far i found these two books which use R programming to describe forest calculations.
1) Robinson and Hamann2011, "Forest Analytics With R"
2) Mehtatalo and Lappi 2020, "Biometry For Forestry And Environmental Data"
Please let me know some other books which you know.
regards
Hari
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Not a book, but at https://github.com/ogarciav there are several forestry R packages: siplab, dyntaper, ingrowth, resde.
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I have to assess the vulnerability of forests to climate change, and therefore, which models are effective for forest type distributions and carbon-related functions, and which could be another model effective to estimate forest carbon flux/storage in the context of Nepal.
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I think the type of model that you use will depend to a large extent on what data you have you input - especially with carbon flux models. The 'gold standard' models use extensive datasets. Can you give us an idea of what data you have access to?
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I am searching for a model that predicts the volume of forest trees in the Mediterranean region (preferably pine trees), to simulate the volume of a stand as a function of age, I did not find anything like that for this region, any help is highly appreciated. thanks
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Farah, this is a long shot and I hesitate to introduce you to the company which has probably done more harm to Portugal's environment than any other. But Navigator (previously Portucel) makes its money from converting industrial eucalyptus plantations into pulp and pellets and they may well have the data you need for gums. They may be able to refer you also to pine producers.
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At the sampling site in different habitats at various forest type like alpine grassland, tropical, subtropical forest. Being a beginner researcher, what should be intial scientific approaches to consider before collection of data in study site interm of highlighted key points such as pre and post sampling options, frames, techniques, heterogeneity, with respect to the way of consistently accuracy of research...
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Stratified random sampling is a good choice
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I am planning to do a temporal analysis of forest cover loss on one of the highly urbanized places in the Philippines as a part of my research study. I will be studying the trend from 2010 to 2020 so software with yearly data is preferred. So far, I have seen NASA's Landsat and Google's Global Forest Watch. Any suggestions of publicly available and detailed software are greatly appreciated.
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Hi!
You might also want to try the Google Hearth Engine (https://developers.google.com/earth-engine).
See for yourself if it is a viable option!
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I am interested in a deeper understanding of applied statistical techniques and methods to analyse the time series of forest and ecological variables.
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I think the choice of R packages to employ in analysing time series data depends on what type of analysis you intend to do. However, I am fine with some of the advice above. Moreover, some R packages can also be employed for some specific function depending on the peculiarities of your study. For example, tseries, forecast, etc. You may read through https://a-little-book-of-r-for-time-series.readthedocs.io/en/latest/
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Hi everyone,
I calculated a meta-analysis in STATA 16 using the DerSimonian-Laird random effects model (single-arm meta-analysis). In my results summary and forest plot, I noticed that I get a significant p-value every time the CI crosses 1, but it is non-significant when the p-value does not cross 1. That seems to be reversed to what we would expect, right?
Does anyone have any input on why this might be? The STATA manuals and examples they give are all reporting it the correct way, so I am not sure why in my analysis it gets reversed.
An input would be appreciated.
Thank you very much!
best,
Sarah
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I think you defined the effect size incorrectly
Use the command as follows
meta esize n11 n12 n21 n22, esize(lnoratio)
I also recommend posting questions related to stata in statalist.org
There you can share your code
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How can groundwater affect forest Restoration/ aforestation?
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I am currently modeling the occupation of the Andean tiger cat, (Leopardus tigrinus pardinoides) and its relationship with covariates at the microhabitat (% canopy cover and height, % leaf cover, % litter cover and depth, canopy height and slope), and landscape scale (Forest ammount, Euclidean Nearest Neighbor Distance - forest, Patch Cohesion Index - forest, Edge density - forest, Landscape heterogeneity - Shannon Index, Euclidean Nearest Neighbor Distance - pasture).
Microhabitat covariates were measured at 5m in each cardinal point and then averaged to obtain a mean value of each one for all the stations that detected the species at least once.
Landscape covariates were measured around a 500m buffer obtained for each camera that detected the species at least once.
My problem here is that in both scales, there are highly correlated covariates, but ruling out any of these prevents me from properly exploring whether my developed hypotheses make sense for the species in any of the two scales proposed.
I have modeled the occupancy of a species under the approach of sequential sub-models (see Morin et al. 2020) using the AIC criterion to understand how the occupancy and detection of the species vary as a function of these covariates.
At the microhabitat scale, the models were first run for detection while holding occupancy constant (no effect of covariates). Subsequently, detection was held constant and the individual effect of each covariate on occupancy was evaluated. On a landscape scale, this procedure was repeated only with occupancy.
In most cases, several covariates met my decision criteria in providing information on the trend of my parameters for both landscape and microhabitat (delta AIC < 2).
However, many times, there are several covariates that are rescued and their relative weight is low. Some of these covariates are correlated with other not rescued by the delta AIC scores.
Should I consider performing a PCA of the covariates at each scale to better understand their relationship with these parameters from a comprehensive perspective, or should I eliminate the most correlated covariates at the expense of sacrificing some conceptual elements that will allow me to better understand this system?
I will be very grateful for any advice on this matter.
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PCA should always be done before any other analyses to understand parameter relationships, so yes! :)
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Hello,
I am a masters student in Bristol and I'm making a forest plot for a systematic review. I need to do the inverse of an odds ratio for a forest plot and I was wondering if anyone could help me, as stats are not my area of expertise! I don't have the raw data, I just have:
Never eating fish (1), consuming fish regularly: OR 1.77 [CI: 1.06–2.95]
Please could someone help me to find the inverse of this? i.e. what is the odds ratio for consuming fish regularly if the reference was 1 for never eating fish?
If anyone has a spare minute, I would appreciate your help so much.
Many thanks
Caitlin
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You can imagine the following scenario to better understand how it works with Odds ratio. Suppose you build a logistic model where you have calculated the odds ratio determining the causal association between a dichotomous independent variable (e.g. Sex coded 0 for male and 1 for female) and a binary dependent variable coded (0: absence of disease, 1: presence of disease) as the disease of interest and that this odds ratio is equal to 3.40. Thus we can say that the male sex has a 3.40 greater risk than the female sex of having the disease or in other words, the female sex has 1/3.40 = 0.29 risk compared to the male sex.
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For my master's thesis I am conducting research about the feasibility of establishing carbon forests in the middle east and generating revenue through the selling of carbon credits, therefore, I need formulas of forest trees volume as a function of age/time to insert in NPV calculations and the Faustmann model, however, I did not find anything, particularly for : Aleppo pine Pinus halepensis, phoenician juniper, and Valonia Oak Quercus Aegilops.
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I would like to check the possibility of implementation of BO using C language.
The implementation target is MCU like Tricore or further.
Is this possible?
Moreover, is there anyone know where the C-implementation sources is present at github or other sites?
Finally, what would be the most difficult parts while I try to implement BO to MCU starting from matlab toolbox or python code (@github) ?
I know that BO uses Gaussian Process Regression in order to estimate surrogate function from experiment data. Is this the most difficult part for implementation of BO?
Thanks in advance.
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Dear Youngil,
I highly recommend the Matlab coder based on my experience. This package allows one to seamlessly generate C code from Matlab as long as no prohibited functions are used. I have used this to deploy code to MCUs on several occasions.
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Within the 3DForEcoTech COST Action, we want to create a workflow database of all solutions for processing detailed point clouds of forest ecosystems. Currently, we are collecting all solutions out there.
So if you are a developer, tester or user do not hesitate to submit the solution/algorithm here: https://forms.gle/xmeKtW3fJJMaa7DXA
You can follow the project here: https://twitter.com/3DForEcoTech
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Dear Martin Mokros,
Got this Project! I‘ll share this with corresponding workmates
Thanks for sharing this info. Kind Regards!
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Dear Colleagues,
I would appreciate it if anyone let me know how the forest canopy density can be extracted using satellite imageries. I'm looking for an index or other methods that be able to capture the forest canopy density directly or indirectly.
I'm looking forward to hearing your nice and practical ideas.
Warm regards
Bagher
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to do this you need radar or lidar data
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Hello,
I am working with Vegetation Indices, among them the EVI. I read the Huete et al., but I am not sure what the values of the EVI means. If I understand it correctly, A healthy forest should be in NDVI ~ 0,85 and in EVI ~ 0,7. A dry savannah in NDVI ~ 0,7 and in EVI 0,4. Is it correct? DO you have other sources for the interpretation?
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Lara Emsinghoff Enhanced Vegetation Index (EVI) is a measure of the amount of vegetation (EVI)
EVI has a value range of –1 to +1, and it ranges between 0.2 and 0.8 for healthy vegetation. EVI incorporates coefficients C1 and C2 to account for atmospheric aerosol scattering, as well as L to adjust for soil and canopy background.
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Hi,
I am interested about how quickly SOM can deplete over time, and would like to start a discussion on the topic. Please pardon me if my question is broad.
In temperate systems, it is common to find annual decomposition coefficients around 1-3% (i.e., 1-3% of the SOM stock is lost after a year). However, I wonder how quickly can SOM mineralization occur.
While reading the literature on SOM changes after deforestation in the tropics, I found values suggesting that SOM stocks can decline by 10-50% in a few years (5-10 years) after a forest is cleared for cultivation.
Also, while looking at the AMG soil organic matter model, I noticed that the potential (maximum) SOM mineralization rate (k0) was set to 29%!
Have you ever asked yourself this question?
Related to this topic, I was thinking of a simple experiment that could shed some light on this question. Let's imagine pots with freshly collected soil or a plot of land, which is outside, and for which any plant development is precluded (removing seed, young seedlings manually). I would be curious to see how quickly SOM changes over time (considering that we would regularly monitor it or regularly SOM contents), given that no plant can inject organic matter. Of course, this soil would be exposed to environmental changes (such as regular water inputs from rain or manual watering, not to let it dry).
Any thoughts about this?
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Oxidation and microbial proliferation leads to SOM loss. So as long as it is safe from oxidation and microbes there will be no loss of SOM. But still if tillage is done in soil and exposure of surface soil to sunlight is happen then it will take very less time for SOM to loss.
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Hi there im doing a meta-analysis on review manager.
I would like to create a prevalence forest plot like this one, I tried using Revman by manual but unable to figure it out. I am doing analysis on observational study, there is no control and case group comparison.
ny help much appreciated please
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i think you can use R software, there is a packages named "metafor" which is used to do meta analysis and draw forest plot. Before analysis, you should transform the ***.xls data to ***.csv, then it is easy to draw plot.
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I have a question on the relationship between maximum tree height and sampling/plot area.
It is like that I have various sampling/plot size in different forest type, and tree height, DBH are measured in the plot. While I'd like to summary the maximum tree height in each forest type. Since the plot size is varied. Should I use i fixed plot size or the various plot size is OK?
Thank you in advance for your time and comment.
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In many countries, in individual regions and urban agglomerations, tree planting projects are currently underway as part of afforestation programs for civilization-modified areas. In some countries afforestation of civilizational modified areas is considered one of the most important instruments to neutralize the negative effects of greenhouse gas emissions. The main premise of this thesis is the fact that certain species of trees and shrubs absorb significant amounts of CO2 and improve microclimate and water management in surface layers of soil. However, according to the results of scientific research in a situation of high greenhouse gas emissions, afforestation will not solve the problem of global warming. If in a given country, in a given agglomeration the majority of households, motor vehicles and enterprises from the energy sector relies on burning of minerals, the emission of greenhouse gases is so high that afforestation may reduce this emission to a very small extent. In this situation, apart from afforestation, other projects should be developed that will enable the implementation of the principles of sustainable, pro-ecological development based on the concept of a new, green economy. These other pro-ecological undertakings include, first of all, the development of renewable energy sources, increasing the efficiency of waste segregation, recovering secondary materials, development of electromobility in the automotive industry, development of programs for implementation, implementation and financing of eco-innovations, such as the construction of small household ecological power plants based eg on installing house roofs photovoltaic panels replacing stoves, in which often poor quality minerals are burned, etc. Therefore, afforestation does not solve the serious problem of global warming but should be developed as one of many instruments to reduce the negative greenhouse gas emission effects.
In addition, it is particularly important to protect existing forest resources, including natural forest ecosystems characterized by high biodiversity, and therefore a high biological value, such as rainforest, tropic rainforest of the Amazon. However, this is only an example of the largest, existing natural forest ecosystem on Earth. All other such ecosystems should be under strict protection and should be excluded from the predatory, devastating forest exploitation economy, i.e. harvesting timber from these natural forest ecosystems, because in the context of the problem of global warming they are one of the most important, most valuable resources of the planet Earth.
In view of the above, the current question is: Can the afforestation of civilization-modified areas significantly reduce greenhouse gas emissions?
Please, answer, comments. I invite you to the discussion.
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Currently, it is estimated that the entire flora of the planet absorbs about 1/3 of the CO2 in the atmosphere. Therefore, the progressive deforestation of the remaining forest areas contributes to the increasingly faster greenhouse effect and thus to the acceleration of the global warming process. Therefore, since we already know this, the question arises why deforestation processes still prevail over aforestation and forest areas are rapidly decreasing year by year? It's good that some decisions were finally made on this matter. Well, during the COP26 Climate Summit, i.e. the UN-Ethical Climate Conference, which took place in the first half of November 2021 in Glasgow, Scotland, the participating countries of the world took part in this Conference that the deforestation processes would be completed by 2030. If we know how important it is for the future of the planet's climate, why does humanity and the planet's biosphere have to wait so long for it? Of course, it can be said that it is better late than never. But it is late, taking into account the constantly accelerating process of global warming, the constantly increasing scale of negative effects of climate change and the growing risk of a global climate catastrophe in a few decades, it is very late.
Best wishes,
Dariusz
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How can I interpret and write down the results of the following forest plot? For example, top left graph shows comparison of AvsB and includes 3 studies A B C, what's the meaning of red and blue shapes?
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The country's apex judicial system has ordered to evacuate the forest dwellers.
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With such limited information on the situation at hand, it is very difficult to simply answer this question. One must consider the history of the group in this forest (is this there home?), as well as other factors like why they are being ordered to evacuate in the first place. Without more information, it is nearly impossible to judge the ethics of this situation.
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Open source softwares
-3D Forest
Comercial softwares
-Liforest
-EnviLidar
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Hi ! In addition to the above you can see: R packages: 1. TreeLS (https://github.com/tiagodc/TreeLS) 2. rTLS (https://github.com/Antguz/rTLS) 3. lidR ( https://github.com/r-lidar/lidR) is a package mainly for ALS, but you will find there many algorithms useful in TLS tree segmentation, so you can write your own workflow Python: 4. FSCT (https://github.com/SKrisanski/FSCT) 5. treeseg (https://github.com/apburt/treeseg) Standalone applications: 6. DendroCloud (http://gis.tuzvo.sk/dendrocloud/) 7. SSSC (https://github.com/dwang520/SSSC) - it is also possible to run algorithms via Matlab (maybe Octave). You can also find a short section about forestry TLS software in my article, there you can find a bit more information about the functionalities of this software
: If you (or anyone else) have any questions or are interested in collaborating on forestry TLS topics, please feel free to contact me.
Best regards,
Grzegorz Krok
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I have been asked to remove the number which has been automatically assigned to the subgroup when I created it in Revman 5.4, For example 4.2.2 Males, 4.2.3 Females, 4.2.4 Males and Females. Is it possible to just have headings Males, Females, Males and Females?
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Hi Phoebe,
Did you find a solution for this? I'm currently having the same issue.
Thank you,
Sharon
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Dear Researchers,
This research aimed to systematically review the development studies pertaining to forest biomass and bioenergy supply chain resilience.
According to the assessment, the findings of this research on the definition, barriers and enablers of forest biomass and bioenergy supply chain resilience can be applied as a basis for the comprehension and optimization of the structure of supply chains in the forest biomass and bioenergy industries.
Please click/use the link below to freely access the article file:
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Thank for this interested question
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We generally use 50 X 50 m or 100 X 100 m quadrats to calculate the basic ecological parameters within a hectare of land. Within 50 X 50 m or 100 X 100 m quadrats, we used to laid 10 X 10 m quadrats for sampling tree species, 5 X 5 m for shrubs & seedlings, and 1x 1 m for herbs.
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Species-area curve shall be taken into consideration.
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Currently I am working on forest dyanimics at district level in India. I am using remotely sensed data for the same. I want to predict fire forest coverage of the study area by using suitable prediction model. The researchers are therefore requested to share their experience and expertise for that. Anybody can suggest me to visit any link, published article and/ or methodology for the same. Thank you all in advance.
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To predict future LULC changes, you can use :
- Land Change Modeler embedded in TerrSet model.
- MOLUSCE plugin in QGIS, which incorporates four different algorithm models (ANN, LR, MCE, and WoE).
Kindly look at this article.
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I need help in fitting my data in this model "lnZ = Bo + B1X + e". Where Z is response variables (production, yield, and area), X is the time variable, and e is the error term. I have 20 years data on Maize yield, hectarage, and production. Please help me to complete the task. Your help will be highly appreciated.
Thank you
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You fit the model to the data, not the other way around. This means for your GAM model, you use smoothing factors and variables that reduce AIC to their lowest possible values, which shows the best fit :)
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I am pursuing a PhD in Forest informatics and am looking for a research collaborator whose current focus is on deep learning for the investigation of fine forestry vegetation parameters.
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Sure.
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Discuss the impacts of local and global change challenges on Forest Landscape Restoration
1.Climate Change
2.Food Security
3.Biotechnology and Synthetic Biology
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I want to know 1) if there is data for biological N fixation in global forests, and 2) if there is estimation of the fraction of biologically fixed N that is used by plants or retained in forest.
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Hello, merry Christmas.🎄
I am fully in agreement with Alberto's opinion. I did a survey in Google scholar and I mainly found that papers mostly dealing with N fixation in tropical forests. There are many valuable works were done in 2020 and 2021 and I hereby attach two best of them may help to answer your question. I recommend you may also take a look at their references.
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In urban studies as related to forestry and competing landscape studies, identification of relationship that exist among these urban studies
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I want to calculate the distance between points and lines in ArcGIS. I need to use the parameter of gravitation direction. I need to compute the direction from the center of the forest plot to the nearest road, but it is important for me to give weight on the direction of gravitation.
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The Near tool has an option for providing the direction in addition to the distance and can be run on points going to lines. Once you have the distance and direction you can combine them in whatever weighting scheme you like. There is also a paper that describes an existing Gravity Model tool for ArcGIS -
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Most of conservationist advocates total ban on any human interference in natural forests including silvicultural management practices.will by doing so in terms of carbon cycle weheter old  tree stands as well as dead trees is increasing carbon storage or decreasing  by decomposition. That unused wood if utilised properly for lock carbon in natural furniture or structure will be more useful than laying in the forests. Is there any study which can suggest in decomposition of wood how much and carbon di oxide liberated or added to soil to increase soil carbon along with net gain of carbon after decmposition of wood. 
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Manmohan J. Dobriyal i found one paper which might be of help to you
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Hi. I have an question on impact of ecological charactheristics differences between grassalnd and forest stands (DBF, ENF, MF) in terms of carbon fluxes dynamic. For example, how do differences of soil temperature or canopy height reveal in GPP, NEE and Reco?
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Hassan Abbasian please do find the links of the paper publications related to the question carbon fluxes dynamics and hope so this will be useful to you
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Hello dear researchers
How to do the watershed algorithm in eCognition developer software?
Do I need to add a plugin to watershed segmentation? How? There is no watershed segmentation plugin in my software.
Thank you all
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The algorithm works on a gray scale image. During the successive flooding of the grey value relief, watersheds with adjacent catchment basins are constructed. ... A set of markers, pixels where the flooding shall start, are chosen. Each is given a different label.
Regards,
Shafagat
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If I use AVI, BSI, SI and TI as biophysical factor.
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Please see attached file
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A small tree belonging to the member of Rubiaceae growing in hillslope of forest.
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Wendlandia sp.
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An unmanned aerial vehicle (UAV), also called a drone, is the name for any aircraft that can be operated remotely. Presently, there are various small to large models of drones, and these are being utilized for various applications, including pesticide application, disaster damage surveying, logistics, and media. In Japan, the Ministry of Agriculture, Forestry and Fisheries has prepared the “UAV Stand Inventory Manual” for use in forest surveys, which summarizes specific procedures and key points for stand inventory methods using UAV, and provides a formula to estimate the diameter at breast height (DBH) of trees. However, do you think that it has highest accuracy level. We have used the same for South Bengal Nursery and Sal plantation.
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Hi
I recently took pictures at a height of 100 meters above the ground. But when processing with Agisoft software, part of my study area is lower than other areas (the study area is flat). What could be the reason?
Thanks
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The determination of flight conditions varies based on the UAV model, flight application, and the
size of the imaging area; thus, preparing a manual for flight conditions is extremely dicult. There
are many issues to consider for UAV utilization, such as various flight conditions and di erences in
tree species. Therefore, in order to utilize UAV in forest management, it is important to accumulate
basic data related to estimates of tree height and volume using UAV, for verification of accuracy.
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Hello,
I was looking for a digital copy of master plan for forestry sector in Nepal. I am mostly in need of wood density values for Nepalese's species so that i could calculate AGB from volume equations.
regards
Hari
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Dear Hari,
Persistence and change: review of 30 years of community forestry in Nepal
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Dear colleagues,
I would like to predict some species distribution models to the LGM. For (bio-)climatic variables alone this is straightforward and still reasonable for topographic variables based on a paleo-DEM. However, I could not find a global dataset (raster, *.tif, *.afd, etc.) of paleo forest cover in percentage.
Please, let me know if you are aware of such data. Alternatively, I'd like to hear your opinions on how to model proportional LGM forest cover. For the latter, I would like to know which variables and which algorithms (ANN?) you would suggest to model forest cover.
Thanks.
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The question is regarding distribution of individuals in different girth classes in a particular forest ?. which form forest structure.
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you can consult this book
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What will be the best approaches to get information about forest tenure system, issues related to forest tenure of an area to get scientific base result .
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Unsettled districts usually have indigenous residents and more recently settled residents. Discussions on location with these people can produce a wealth of local knowledge to encourage co-operation and avoid tenure issues. there may also be unofficial small scale forest tenure systems in place that could be accommodated.
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Hello
How do we draw a forest plot diagram for Hazard ratio in stata or R software?
For original articles, not meta-analysis articles
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You can do it following the links below:
# Forest Plot for Cox Proportional Hazards Model — ggforest • survminer (datanovia.com)
# A forest plot in ggplot2 (selfmindsociety.com)
# survminer 0.3.0 - Easy Guides - Wiki - STHDA
Good luck
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We were comparing the diversity of moist and dry broadleaf forests as part of our Ecology project.
It was found that Shannon diversity index is greater for moist broadleaf forest and Simpson diversity index is greater for dry broadleaf forest. Can this happen or is it due to an error on our part?
We don't have prior experience in diversity index calculations or sampling. We followed the quadrant method for sampling.
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That's correct. The Shannon-wiener index value increases with biodiversity. In contrast, the Simpson index measures the relative abundance of species, with a higher value indicating high dominance/low biodiversity. But you could just count species, which is a simple comparable metric between habitats :)