This document outlines the agenda and priorities for a Kerala Bird Monitoring Workshop. The workshop will cover the status of the Kerala Bird Atlas project, analyzing results, identification workshops, continuous bird monitoring, and next steps. The Bird Atlas is Asia's largest with over 30,000 samples and 750,000 records from 1,000 volunteers. Priorities for additional surveys are outlined to maximize equal effort, seasonal parity, and spatial coverage. Data products will include distribution maps for species and groups as well as trend maps projecting changes over 10-25 years under different scenarios.
The Kerala Bird Monitoring Meet discussed various topics related to bird monitoring in Kerala over two days. Sessions covered trends in India's bird populations, gaps in Kerala's bird distribution data, creating a redlist for Kerala birds, and different methods of monitoring birds like in beaches, forests, wetlands and during raptor and pelagic surveys. Action items were identified to improve monitoring efforts and outreach. The State of India's Birds report was presented, showing preliminary trend results for Kerala with most species stable but some in decline or rapid decline based on eBird data analysis.
The document outlines the agenda for the Kerala Bird Monitoring Workshop 2022. The agenda includes talks on Kerala Bird Monitoring Network, district level bird monitoring activities and ambitions, the red list of birds in Kerala, heronry counts, strategies to increase women's participation in birding, impacts of climate change on bird species, improving data quality for eBird, pelagic bird counts, wetland bird counts, expanding the bird monitoring network to local panchayats, monitoring specific bird species and communities, using digital outreach to increase citizen science participation, and strategies for conserving bird habitats. One session will discuss actionable strategies to promote women's involvement in birding, such as encouraging birding in one's local area,
This document discusses bird conservation efforts in Kerala, India. It identifies threatened bird species that are priorities for conservation, including vultures, wood pigeons, and flycatchers. Important Bird Areas (IBAs) in Kerala are classified based on the threatened species they support. Conservation plans are proposed to protect high priority IBAs and monitor key species. Next steps include increasing surveys, protecting unique habitats, and engaging conservation groups and media to promote IBAs and address urgent threats to threatened birds.
A presentation during a panel discussion on PELAGIC BIRD SURVEYS FOR ENHANCING INFORMATION ON MIGRATION during International Conference on Wetlands and Migratory Waterbirds of the Asian Flyways at Lonavala, Mumbai, India organised by BNHS India.
The document summarizes the agenda and minutes from the 2019 Kerala Bird Monitoring Workshop held on June 8-9, 2019. The workshop reviewed results from the 2018 bird atlas surveys, discussed plans for the 2019 wet season surveys, and included sessions on bird identification, long-term monitoring, and using eBird data. Key topics included priorities for surveying forests, wildlife sanctuaries, and non-forest areas during the wet season, addressing coverage gaps from previous surveys, and sharing experiences and lessons from long-term monitoring programs.
The Kerala Bird Monitoring Meet discussed various topics related to bird monitoring in Kerala over two days. Sessions covered trends in India's bird populations, gaps in Kerala's bird distribution data, creating a redlist for Kerala birds, and different methods of monitoring birds like in beaches, forests, wetlands and during raptor and pelagic surveys. Action items were identified to improve monitoring efforts and outreach. The State of India's Birds report was presented, showing preliminary trend results for Kerala with most species stable but some in decline or rapid decline based on eBird data analysis.
The document outlines the agenda for the Kerala Bird Monitoring Workshop 2022. The agenda includes talks on Kerala Bird Monitoring Network, district level bird monitoring activities and ambitions, the red list of birds in Kerala, heronry counts, strategies to increase women's participation in birding, impacts of climate change on bird species, improving data quality for eBird, pelagic bird counts, wetland bird counts, expanding the bird monitoring network to local panchayats, monitoring specific bird species and communities, using digital outreach to increase citizen science participation, and strategies for conserving bird habitats. One session will discuss actionable strategies to promote women's involvement in birding, such as encouraging birding in one's local area,
This document discusses bird conservation efforts in Kerala, India. It identifies threatened bird species that are priorities for conservation, including vultures, wood pigeons, and flycatchers. Important Bird Areas (IBAs) in Kerala are classified based on the threatened species they support. Conservation plans are proposed to protect high priority IBAs and monitor key species. Next steps include increasing surveys, protecting unique habitats, and engaging conservation groups and media to promote IBAs and address urgent threats to threatened birds.
A presentation during a panel discussion on PELAGIC BIRD SURVEYS FOR ENHANCING INFORMATION ON MIGRATION during International Conference on Wetlands and Migratory Waterbirds of the Asian Flyways at Lonavala, Mumbai, India organised by BNHS India.
The document summarizes the agenda and minutes from the 2019 Kerala Bird Monitoring Workshop held on June 8-9, 2019. The workshop reviewed results from the 2018 bird atlas surveys, discussed plans for the 2019 wet season surveys, and included sessions on bird identification, long-term monitoring, and using eBird data. Key topics included priorities for surveying forests, wildlife sanctuaries, and non-forest areas during the wet season, addressing coverage gaps from previous surveys, and sharing experiences and lessons from long-term monitoring programs.
The document describes the Kerala Bird Atlas, a citizen science initiative to document the distribution and seasonal patterns of birds across the state of Kerala from 2015-2020. The atlas uses a systematic survey method with equal sampling effort across 6.6 km grid cells. Volunteer birders survey random 1.1 km subgrid cells on weekends over two seasons, documenting birds on the eBird platform. After the first year, 78% of Kerala was covered and results showed distributions of various common bird species. The initiative aims to provide more accurate information on bird distributions for conservation planning through a collaborative effort with over 1,000 volunteer birders.
The document provides an overview of the Kasaragod Bird Atlas project conducted from 2017-2018. It summarizes the goals of documenting bird distribution across 187 subcells in Kasaragod district over different seasons. Key results included recording 237 bird species, including first sightings and threatened species. The project helped build a community of birders and engaged students. Analysis of survey data provides insights into habitat use and changes in abundance over time. The success of the atlas relies on participation of volunteers and support from the Kerala Forest Department.
The document summarizes the agenda and discussions from the 2018 Kerala Bird Monitoring Workshop held on June 10th. The workshop included presentations on the results from various bird atlases across Kerala districts, discussions around eBird data entry and monitoring strategies, and breakout groups to plan the 2018-19 bird atlas activities. Participants discussed long-term bird monitoring strategies beyond the atlas and other annual bird counts. The agenda covered district atlas experiences, eBird concerns, monitoring plans, and strategies for forest survey areas.
The survey found a total of 6,141 nests belonging to 9 species of waterbirds across 81 sites in 5 districts of Kerala. Alappuzha district had the highest number of nests at 2,713, followed by Kannur with 1,702 nests. The most common species were Little Cormorant (29% of nests), Indian Pond Heron (34%), and Little Egret (15%). Issues threatening some heronries included habitat destruction, disturbance during nesting season, and cutting down trees. Future plans discussed implementing more protections, surveying all districts, and addressing complaints about nuisance from heronry droppings.
This document provides information about the Asian Waterbird Count conducted in Kerala in 2017. It lists the 8 districts where count data is available in eBird, as well as the specific wetland sites counted in 6 of these districts. It also lists all wetland sites counted as part of the AWC database since 1987 for 14 districts. Trend data is given for 4 waterbird species at Kole Wetlands, Vembanad Lake and all sites from 1993-2014. Participants are requested to update the wetland site list and prioritize sites for future counts.
Great Backyard Bird Count, Onam Bird Count, Endemic Bird Day- in KeralaPraveen Jayadevan
Great Backyard Bird Count (GBBC), Onam Bird Count (OBC) and Endemic Bird Day (EBD) are global events for public participation in bird-watching. This presentation evaluates the three year results from Kerala to discuss future steps.
Authors: Syamili Manoj and E.R. Sreekumar
Kannur Bird Atlas, part of Kerala Bird Atlas, completed their atlas surveys and this presentation reviews the planning, execution and results
Authors: C Sashikumar & Roshnath R
Kerala Bird Atlas is an ambitious citizen science project, to map the distribution and abundance of birds of an entire Indian state for the first time. Envisaged as a five year activity, this is a review of the project status after two years.
Author: Praveen J
Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...Creative-Biolabs
Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.
PPT on Alternate Wetting and Drying presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
The document describes the Kerala Bird Atlas, a citizen science initiative to document the distribution and seasonal patterns of birds across the state of Kerala from 2015-2020. The atlas uses a systematic survey method with equal sampling effort across 6.6 km grid cells. Volunteer birders survey random 1.1 km subgrid cells on weekends over two seasons, documenting birds on the eBird platform. After the first year, 78% of Kerala was covered and results showed distributions of various common bird species. The initiative aims to provide more accurate information on bird distributions for conservation planning through a collaborative effort with over 1,000 volunteer birders.
The document provides an overview of the Kasaragod Bird Atlas project conducted from 2017-2018. It summarizes the goals of documenting bird distribution across 187 subcells in Kasaragod district over different seasons. Key results included recording 237 bird species, including first sightings and threatened species. The project helped build a community of birders and engaged students. Analysis of survey data provides insights into habitat use and changes in abundance over time. The success of the atlas relies on participation of volunteers and support from the Kerala Forest Department.
The document summarizes the agenda and discussions from the 2018 Kerala Bird Monitoring Workshop held on June 10th. The workshop included presentations on the results from various bird atlases across Kerala districts, discussions around eBird data entry and monitoring strategies, and breakout groups to plan the 2018-19 bird atlas activities. Participants discussed long-term bird monitoring strategies beyond the atlas and other annual bird counts. The agenda covered district atlas experiences, eBird concerns, monitoring plans, and strategies for forest survey areas.
The survey found a total of 6,141 nests belonging to 9 species of waterbirds across 81 sites in 5 districts of Kerala. Alappuzha district had the highest number of nests at 2,713, followed by Kannur with 1,702 nests. The most common species were Little Cormorant (29% of nests), Indian Pond Heron (34%), and Little Egret (15%). Issues threatening some heronries included habitat destruction, disturbance during nesting season, and cutting down trees. Future plans discussed implementing more protections, surveying all districts, and addressing complaints about nuisance from heronry droppings.
This document provides information about the Asian Waterbird Count conducted in Kerala in 2017. It lists the 8 districts where count data is available in eBird, as well as the specific wetland sites counted in 6 of these districts. It also lists all wetland sites counted as part of the AWC database since 1987 for 14 districts. Trend data is given for 4 waterbird species at Kole Wetlands, Vembanad Lake and all sites from 1993-2014. Participants are requested to update the wetland site list and prioritize sites for future counts.
Great Backyard Bird Count, Onam Bird Count, Endemic Bird Day- in KeralaPraveen Jayadevan
Great Backyard Bird Count (GBBC), Onam Bird Count (OBC) and Endemic Bird Day (EBD) are global events for public participation in bird-watching. This presentation evaluates the three year results from Kerala to discuss future steps.
Authors: Syamili Manoj and E.R. Sreekumar
Kannur Bird Atlas, part of Kerala Bird Atlas, completed their atlas surveys and this presentation reviews the planning, execution and results
Authors: C Sashikumar & Roshnath R
Kerala Bird Atlas is an ambitious citizen science project, to map the distribution and abundance of birds of an entire Indian state for the first time. Envisaged as a five year activity, this is a review of the project status after two years.
Author: Praveen J
Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...Creative-Biolabs
Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.
PPT on Alternate Wetting and Drying presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Mending Clothing to Support Sustainable Fashion_CIMaR 2024.pdfSelcen Ozturkcan
Ozturkcan, S., Berndt, A., & Angelakis, A. (2024). Mending clothing to support sustainable fashion. Presented at the 31st Annual Conference by the Consortium for International Marketing Research (CIMaR), 10-13 Jun 2024, University of Gävle, Sweden.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...Sérgio Sacani
We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS
+
53.13485
−
27.82088
with a host spectroscopic redshift of
2.903
±
0.007
. The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red (
�
(
�
−
�
)
∼
0.9
) despite a host galaxy with low-extinction and has a high Ca II velocity (
19
,
000
±
2
,
000
km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low-
�
Ca-rich population. Although such an object is too red for any low-
�
cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement (
≲
1
�
) with
Λ
CDM. Therefore unlike low-
�
Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high-
�
truly diverge from their low-
�
counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
5. WHY IS KERALA BIRD ATLAS SPECIAL?
• Asia’s largest bird atlas
• 38,863 sq. km
• ~ 3,500 locations
• ~ 30,000 samples
• ~ 7,500 field hours
• ~ 0.30 million records
• ~ 1,000 volunteers
6. KERALA BIRD ATLAS: STATUS
Wet Dry
Coverage 82.64% 81.98%
Pending lists 2472 2556
7. CELL & SUB-CELL: A QUICK RECAP
98,10,1
98,11,5
97,10,1
97,11,8
97
98
10 11
16 DRY SEASON SAMPLES
16 WET SEASON SAMPLES
8. COVERAGE OF CELLS: DRY SEASON
TOTAL CELLS IN KERALA 917
# COMPLETE CELL WITHIN KERALA (4 SUBCELLS) 775
# CELLS PARTIALLY WITHIN KERALA (< 4 SUBCELLS) 142
# COMPLETE CELLS WHERE SURVEY IS DONE 552
COVERAGE OF COMPLETE CELLS 71.23%
COVERGE IN TERMS OF # LISTS 81.98%
9. PRIORITIES: OVERVIEW
PRIORITY Prioritization Rationale
1 Subcells of Cells that have 1-4 lists pending Equal Effort
2 Subcells of Cells that have 5-8 lists pending Equal Effort
3 Subcells of Cells that have 9-12 lists pending Equal Effort
4 Subcells of Cells that have 13-15 lists pending Equal Effort
10. PRIORITIES: OVERVIEW
PRIORITY Prioritization Rationale
1 Subcells of Cells that have 1-4 lists pending Equal Effort
2 Subcells of Cells that have 5-8 lists pending Equal Effort
3 Subcells of Cells that have 9-12 lists pending Equal Effort
4 Subcells of Cells that have 13-15 lists pending Equal Effort
5
Subcells of Cells that remain unsampled in one season and has been FULLY
SAMPLED in the other season Seasonal Parity
6
Subcells of Cells that remain unsampled in one season and has 1-8 lists pending
in the other season Seasonal Parity
7
Subcells of Cells that remain unsampled in one season and has 9-15 lists
pending in the other season Seasonal Parity
8 Subcells of Cells that remain unsampled in both seasons Full Spatial Coverage
11. PRIORITIES: OVERVIEW
PRIORITY Prioritization Rationale
1 Subcells of Cells that have 1-4 lists pending Equal Effort
2 Subcells of Cells that have 5-8 lists pending Equal Effort
3 Subcells of Cells that have 9-12 lists pending Equal Effort
4 Subcells of Cells that have 13-15 lists pending Equal Effort
5
Subcells of Cells that remain unsampled in one season and has been FULLY
SAMPLED in the other season Seasonal Parity
6
Subcells of Cells that remain unsampled in one season and has 1-8 lists pending
in the other season Seasonal Parity
7
Subcells of Cells that remain unsampled in one season and has 9-15 lists
pending in the other season Seasonal Parity
8 Subcells of Cells that remain unsampled in both seasons Full Spatial Coverage
9
Subcells of Cells on the Edges which are only partially in Kerala but with <= 50%
lists pending Full Edge Coverage
10
Subcells of Cells on the Edges which are only partially in Kerala but with > 50%
lists pending Full Edge Coverage
12. PRIORITIES: OVERVIEW
PRIORITY Prioritization # Subcells # Cells Coverage
1 Subcells of Cells that have 1-4 lists pending 63 61 79.10
2 Subcells of Cells that have 5-8 lists pending 106 49 85.42
3 Subcells of Cells that have 9-12 lists pending 144 47 91.48
4 Subcells of Cells that have 13-15 lists pending 16 4 92.00
5
Subcells of Cells that remain unsampled in one season and has been
FULLY SAMPLED in the other season
64 16 94.06
6
Subcells of Cells that remain unsampled in one season and has 1-8 lists
pending in the other season
52 13 95.74
7
Subcells of Cells that remain unsampled in one season and has 9-15
lists pending in the other season
36 9 96.90
8 Subcells of Cells that remain unsampled in both seasons 96 24 100.00
9
Subcells of Cells on the Edges which are only partially in Kerala but with
<= 50% lists pending
81
10
Subcells of Cells on the Edges which are only partially in Kerala but with
> 50% lists pending
71.23
14. BIRD ATLAS: PLAN OF ACTION FOR DRY SEASON
JAN 16 - MAR 15
WEEKEND Plans
JAN 18-19
JAN 25-26
FEB 1-2
FEB 8-9
FEB 15-16
FEB 22-23
FEB 29-MAR 1
MAR 7-8
MAR 14-15
15. BIRD ATLAS: DATA PRODUCTS
Data Product Details
Species: Distribution Maps Wet & Dry Season maps for [100-200] species
17. BIRD ATLAS: DATA PRODUCTS
Data Product Details
Species: Distribution Maps Wet & Dry Season maps for [100-200] species
Species Groups: Distribution Maps Wet & Dry Season maps for wetland birds, village birds,
forest birds etc
19. BIRD ATLAS: DATA PRODUCTS
Data Product Details
Species: Distribution Maps Wet & Dry Season maps for [100-200] species
Species Groups: Distribution Maps Wet & Dry Season maps for wetland birds, village birds,
forest birds etc
Species : Trend Maps Projected distribution of [25-50] species in [10-25] years
in 3 scenarios
Species Groups: Trend Maps Projected distribution for wetland birds, village birds,
forest birds etc in [10-25] years in 3 scenarios
20. IN 10 YEARS IN 25 YEARS
CURRENT
TREND
AGGRESSIVE
CONSERVATION
REGRESSIVE
DEVELOPMENT
HYPOTHETICAL
DATASET
CURRENT
DISTRIBUTION
21. BIRD ATLAS: DATA PRODUCTS
Data Product Details
Species: Distribution Maps Wet & Dry Season maps for [100-200] species
Species Groups: Distribution Maps Wet & Dry Season maps for wetland birds, village birds,
forest birds etc
Species : Trend Maps Projected distribution of [25-50] species in [10-25] years
in 3 scenarios
Species Groups: Trend Maps Projected distribution for wetland birds, village birds,
forest birds etc in [10-25] years in 3 scenarios
Hotspots of Endemic Diversity Map indicating current hotspots of endemic bird diversity
Key conservation areas outside PA List of [10] panchayats and importance in terms of
avifauna.