Domestic and wild animals can negatively impact forests in several ways:
Domestic animals like cattle can overgraze and damage forest regeneration. They also spread diseases and invasive weeds. Wild herbivores such as elephants, monkeys, and deer feed on and damage valuable tree species. Rodents and wild boars destroy seedlings by gnawing bark and uprooting plants. Control methods include trenches, electric fencing, and scaring animals away with noises to protect forests and allow regeneration.
Impact of invasive species on the environment. Why they are called invasive species and how they lead to loss of native species and lead to loss of biodiversity.
Impact of invasive species on the environment. Why they are called invasive species and how they lead to loss of native species and lead to loss of biodiversity.
1. Introduction
2.Why ants
3.Feeding Habits
4. Predatory ants as Biological control agents
5. a. Oecophylla species and its role in pest management
b. Dolichoderus thoracicus; Role in pest management and its methods of application.
c. Formica rufa ; Role in pest management
d. Azteca spp.
e. Wasmannia auropunctata
f. Anoplolepis species
g. Solenopsis species
6. Ants as egg predators
7. Role of Nondominant Ant Predators
8. Promoting use of ants in pest management
9. Manipulations that favor ants in pest management
10. Conclusions
11. Literature cited from
Green Industry Continuing Education Series
November 18, 2015
12 noon - 2 p.m.
Instructors:
Darren Blackford, Entomologist, USDA-Forest Service
Gene Phillips, Forest Health Specialist, Nevada Division of Forestry
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
Bio
Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
from z = 12 to z = 14. We discuss the possible implications of our results in the context of theoretical
models for evolution of the dark matter halo mass function.
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1. Introduction
2.Why ants
3.Feeding Habits
4. Predatory ants as Biological control agents
5. a. Oecophylla species and its role in pest management
b. Dolichoderus thoracicus; Role in pest management and its methods of application.
c. Formica rufa ; Role in pest management
d. Azteca spp.
e. Wasmannia auropunctata
f. Anoplolepis species
g. Solenopsis species
6. Ants as egg predators
7. Role of Nondominant Ant Predators
8. Promoting use of ants in pest management
9. Manipulations that favor ants in pest management
10. Conclusions
11. Literature cited from
Green Industry Continuing Education Series
November 18, 2015
12 noon - 2 p.m.
Instructors:
Darren Blackford, Entomologist, USDA-Forest Service
Gene Phillips, Forest Health Specialist, Nevada Division of Forestry
The increased availability of biomedical data, particularly in the public domain, offers the opportunity to better understand human health and to develop effective therapeutics for a wide range of unmet medical needs. However, data scientists remain stymied by the fact that data remain hard to find and to productively reuse because data and their metadata i) are wholly inaccessible, ii) are in non-standard or incompatible representations, iii) do not conform to community standards, and iv) have unclear or highly restricted terms and conditions that preclude legitimate reuse. These limitations require a rethink on data can be made machine and AI-ready - the key motivation behind the FAIR Guiding Principles. Concurrently, while recent efforts have explored the use of deep learning to fuse disparate data into predictive models for a wide range of biomedical applications, these models often fail even when the correct answer is already known, and fail to explain individual predictions in terms that data scientists can appreciate. These limitations suggest that new methods to produce practical artificial intelligence are still needed.
In this talk, I will discuss our work in (1) building an integrative knowledge infrastructure to prepare FAIR and "AI-ready" data and services along with (2) neurosymbolic AI methods to improve the quality of predictions and to generate plausible explanations. Attention is given to standards, platforms, and methods to wrangle knowledge into simple, but effective semantic and latent representations, and to make these available into standards-compliant and discoverable interfaces that can be used in model building, validation, and explanation. Our work, and those of others in the field, creates a baseline for building trustworthy and easy to deploy AI models in biomedicine.
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Dr. Michel Dumontier is the Distinguished Professor of Data Science at Maastricht University, founder and executive director of the Institute of Data Science, and co-founder of the FAIR (Findable, Accessible, Interoperable and Reusable) data principles. His research explores socio-technological approaches for responsible discovery science, which includes collaborative multi-modal knowledge graphs, privacy-preserving distributed data mining, and AI methods for drug discovery and personalized medicine. His work is supported through the Dutch National Research Agenda, the Netherlands Organisation for Scientific Research, Horizon Europe, the European Open Science Cloud, the US National Institutes of Health, and a Marie-Curie Innovative Training Network. He is the editor-in-chief for the journal Data Science and is internationally recognized for his contributions in bioinformatics, biomedical informatics, and semantic technologies including ontologies and linked data.
Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic ...Sérgio Sacani
We characterize the earliest galaxy population in the JADES Origins Field (JOF), the deepest
imaging field observed with JWST. We make use of the ancillary Hubble optical images (5 filters
spanning 0.4−0.9µm) and novel JWST images with 14 filters spanning 0.8−5µm, including 7 mediumband filters, and reaching total exposure times of up to 46 hours per filter. We combine all our data
at > 2.3µm to construct an ultradeep image, reaching as deep as ≈ 31.4 AB mag in the stack and
30.3-31.0 AB mag (5σ, r = 0.1” circular aperture) in individual filters. We measure photometric
redshifts and use robust selection criteria to identify a sample of eight galaxy candidates at redshifts
z = 11.5 − 15. These objects show compact half-light radii of R1/2 ∼ 50 − 200pc, stellar masses of
M⋆ ∼ 107−108M⊙, and star-formation rates of SFR ∼ 0.1−1 M⊙ yr−1
. Our search finds no candidates
at 15 < z < 20, placing upper limits at these redshifts. We develop a forward modeling approach to
infer the properties of the evolving luminosity function without binning in redshift or luminosity that
marginalizes over the photometric redshift uncertainty of our candidate galaxies and incorporates the
impact of non-detections. We find a z = 12 luminosity function in good agreement with prior results,
and that the luminosity function normalization and UV luminosity density decline by a factor of ∼ 2.5
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models for evolution of the dark matter halo mass function.
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Seminar of U.V. Spectroscopy by SAMIR PANDASAMIR PANDA
Spectroscopy is a branch of science dealing the study of interaction of electromagnetic radiation with matter.
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Introduction:
RNA interference (RNAi) or Post-Transcriptional Gene Silencing (PTGS) is an important biological process for modulating eukaryotic gene expression.
It is highly conserved process of posttranscriptional gene silencing by which double stranded RNA (dsRNA) causes sequence-specific degradation of mRNA sequences.
dsRNA-induced gene silencing (RNAi) is reported in a wide range of eukaryotes ranging from worms, insects, mammals and plants.
This process mediates resistance to both endogenous parasitic and exogenous pathogenic nucleic acids, and regulates the expression of protein-coding genes.
What are small ncRNAs?
micro RNA (miRNA)
short interfering RNA (siRNA)
Properties of small non-coding RNA:
Involved in silencing mRNA transcripts.
Called “small” because they are usually only about 21-24 nucleotides long.
Synthesized by first cutting up longer precursor sequences (like the 61nt one that Lee discovered).
Silence an mRNA by base pairing with some sequence on the mRNA.
Discovery of siRNA?
The first small RNA:
In 1993 Rosalind Lee (Victor Ambros lab) was studying a non- coding gene in C. elegans, lin-4, that was involved in silencing of another gene, lin-14, at the appropriate time in the
development of the worm C. elegans.
Two small transcripts of lin-4 (22nt and 61nt) were found to be complementary to a sequence in the 3' UTR of lin-14.
Because lin-4 encoded no protein, she deduced that it must be these transcripts that are causing the silencing by RNA-RNA interactions.
Types of RNAi ( non coding RNA)
MiRNA
Length (23-25 nt)
Trans acting
Binds with target MRNA in mismatch
Translation inhibition
Si RNA
Length 21 nt.
Cis acting
Bind with target Mrna in perfect complementary sequence
Piwi-RNA
Length ; 25 to 36 nt.
Expressed in Germ Cells
Regulates trnasposomes activity
MECHANISM OF RNAI:
First the double-stranded RNA teams up with a protein complex named Dicer, which cuts the long RNA into short pieces.
Then another protein complex called RISC (RNA-induced silencing complex) discards one of the two RNA strands.
The RISC-docked, single-stranded RNA then pairs with the homologous mRNA and destroys it.
THE RISC COMPLEX:
RISC is large(>500kD) RNA multi- protein Binding complex which triggers MRNA degradation in response to MRNA
Unwinding of double stranded Si RNA by ATP independent Helicase
Active component of RISC is Ago proteins( ENDONUCLEASE) which cleave target MRNA.
DICER: endonuclease (RNase Family III)
Argonaute: Central Component of the RNA-Induced Silencing Complex (RISC)
One strand of the dsRNA produced by Dicer is retained in the RISC complex in association with Argonaute
ARGONAUTE PROTEIN :
1.PAZ(PIWI/Argonaute/ Zwille)- Recognition of target MRNA
2.PIWI (p-element induced wimpy Testis)- breaks Phosphodiester bond of mRNA.)RNAse H activity.
MiRNA:
The Double-stranded RNAs are naturally produced in eukaryotic cells during development, and they have a key role in regulating gene expression .
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2. Effect of domestic animals :
Spreads certain diseases to wild animals.
Spreads new weed species to forest from farm land or main land, by carrying
the seed along with their body.
Grazing on forest regeneration which affects the forest productivity.
Shortage of grasses for wild angulates due to intensive grazing.
Habitat detoriation due to grazing behind carrying capacity.
Habitat disturbance for wild angulates.
INTRODUCTION :
In india lot of importance given to cattle wealth. Domestic animals enter the
forest mainly for grazing. This causes too many adverse consequences to forest
and wild animals
According to nation commission on agriculture and national forest policy
there should be an equal balance between agriculture , forestry in order to keep
requirement of fodder more effectively.
4. Effect Of Wild Animals
Several wild animals can causes some damages to forests , especially so with
wild herbivorous who by their nature feed on plants and may eventually harm
some plants which are valuable.
A. Damages caused by Carnivores
Tigers and Chethas can scratch on trees like to sharp their nails or
to mark their territory demarcation . But that is just superficial and may not
cause any notable damages .
B. Damages caused by Herbivores
I. Damages caused by Elephants
II. Damages caused by Monkeys And Black Beer
III. Damages caused by Wild Buffalo And Gaur
IV. Damages caused by Porcupine And Rodents
V. Damages caused by Chital, Sambar, Nilgai
VI. Damages caused by Wild Pigs
VII. Damages caused by Birds
5. Elephants :
An adult elephant can feed on about 270kg
fodder per day (oliver 1986)
elephants need fodder equivalent to 1.5% of
body weight in dry season
Browsing more important for elephant during
dry season
53-83% of elephant food from C3 plants (
browse and bamboo ) in T.N-Karnataka border
region
In T.N-Karnataka border region Malvales and
Leguminous plants are predominated in
elephant browse ( Sukumar 1989 )
6. Damages caused by elephants :
Tusk bromming ( rubbing of elephant tusk over a main stem ), bark of the sal and
Artocarpus is stripped off upto 12-15m.
Uprooting/breaking of trees , poles of certain fodder species are uprooted after feeding by
them.
they crush regeneration under their feet during course of activities like walking, resting,
sleeping etc.
in addition to above they also cause damage to telephone lines .
Control measures :
Digging of Elephant proof trenches : it is 2-2.5mtr wide at top and 1-1.5mtr
wide at bottom with 2mtr deep.
Electric wire fencing with punctuated electric current flowing through the
fence which is effective , easy , cheap and shiftable.
Rehabitation of degraded forest is necessary so as to improve the fodder
availabiity within the forest
Using drums , firing crackers or guns is usefull in scattering of elephants
temporarily
9. Monkeys and Black beer
Monkeys eats fruits and seed of many edible species inside the
forests like fruits of Garcinia indica.
In one way it reduces regeneration of certain plant species and in
another way it helps seed dispersal of several species.
Bears can cause extensive damage to trees, especially in second-
growth forests, by feeding on the inner bark or clawing the bark
to leave territorial markings, this adversely influences the plant
growth and make vulnerable to pest and disease attack.
The major sap sucking species by black beer is deodar, Pinus
wulchiana and Picea morinda.
Black bears damage orchards by breaking trees and branches in
attempts to reach fruit. They often return to an orchard nightly.
Control measues :
They can be scared and dispersed away by firing guns , brusting
crackers , beating drums
12. Damages caused by wild buffalo and gaur :
Damges caused by wild buffalo and gaur
to the forest is limited
Gaur strip bark off Acrocarpus fraxinifolia
and browse on seedlings of Artocarpus
hirsutus , Dalbergia latifolia , Pterocarpus
marsupium.
Wild buffaloes also browse on seedlings ,
both can cause mechanical damage to
plants
Control measers like cattle proof
trenches , electric wire fences is effective.
14. Damages caused by rodents :
Rodents include porcupine , rats , squirrels .
They have chisel-edged incisor teeth with which they cut bark,
root and even wood .
Porcupine cut off khair seedlings and girdling the bigger trees
Rats and mice eats the bamboo seedlings after gregarious
flowering.
Rats barrow holes below the tree sometimes it may cause
death of the tree.
Control measures :
Porcupine-proof fence and regular day to day inspection of the
fence or fences with underground wire.
Cyano-gassing porcupine in their barrows.
Poisioning with baits for rats .
Presence of Natural enemies like cat , dogs , mangoos etc
15. Case study :
• The grey squirrel was introduced into Ireland at Castle
Forbs in Co. Longford in 1911.
• The grey squirrel causes severe damage to commercial
broadleaved plantations through stripping bark on
branches and main stems as the crops pass from
thicket to pole stage. Multiple forking of the main
stem can occur as a result of the tree top dying back.
• Control measures currently consist of shooting,
trapping and using hoppers baited with cereals treated
with the chemical pesticide warfarin
Grey squirrel – a serious pest of
broadleaf plantations
16. Damages caused by the wild boar :
Wildboar are omnivorous and they feeds on root and
tubers of many edible plants. This exposes the roots and
reduces the growth of plants or results in mortality of
plants.
Eat germinating sal seedlings and uproot them , also
girdles the deodar.
In the Himalaya , besides damaging regeneration by
digging , they girdle deodar and cypress trees.
They can dig out complete lines of plants in plantations
and thus creating gap.
They can damage bamboo plantation to feed on rhizomes.
They can dig out seedligs, trying to feed on succulent root.
Control measures :
Porcupine fences and firing gun are useful in reducing the
problems
19. Damages caused by chital, sambar and nilgai :
These are herbivores that graze and damages to
seedlings and pole.
These animals feed on young shoots of sal , thus
killing them or arresting their growth.
They rub their antler against poles and exposes
cambium, this enhances the possibility of
pathogen attack.
They also strip bark off sal, chukrasses etc.
Deer feed on tender shoots of Chlorxylon
swietenia , Dalbergia latifolia , Pterocarpus
marsupium, Albizzia lebback , Morus laevigata
and young sandal , Hopea .
21. Damages caused by birds :
The birds eats seeds sown in the seedbed that reduces the seedlings.
Seedbed can be covered with nets. This can be controlled by the
usage of scarce crow and firing of blank cartridges or crackers.