18
1. Project title, Project Number, Principal Investigator and contact details ASSESSMENT OF MARINE ECOSYSTEM SERVICES AT THE LATIN-AMERICAN ANTARES TIME-SERIES NETWORK CRN3094 PI: Milton Kampel, Instituto Nacional de Pesquisas Espaciais (INPE), Brazil, [email protected] Participants by country, affiliation and role in the project: Brazil 1. Milton Kampel, Instituto Nacional de Pesquisas Espaciais (INPE), Brazil, [email protected] (PI-Project IAI-Antares) (Antares Station PI Ubatuba) (Satellite component-Project IAI-Antares) 2. Alexander Turra, Universidade de Sao Paulo, Instituto Oceanográfico (IO-USP), Brazil, [email protected] (CoPI-Project IAI-Antares) (Ecosystem services / Ocean governance / Ecological economics / Environmental economics component-Project IAI-Antares) 3. Paulo Sinisgalli, Universidade de Sao Paulo, Escola de Artes, Ciências e Humanidades (EACH-USP), Brazil, [email protected] (CoPI-Project IAI-Antares) (Ecosystem services / Ocean governance / Ecological economics / Environmental economics component-Project IAI-Antares) 4. Pedro Roberto Jacobi, Universidade de São Paulo, Faculdade de Educação (FE- USP), [email protected] (CoPI-Project IAI-Antares) (Ecosystem services / Ocean governance / Ecological economics / Environmental economics component-Project IAI-Antares) 5. Salvador Gaeta, Universidade de Sao Paulo, Instituto Oceanográfico (IO-USP), Brazil, [email protected] (Collaborator-Project IAI-Antares) (Antares Station PI Ubatuba) 6. Mayza Pompeu, Universidade de Sao Paulo, Instituto Oceanográfico (IO-USP), Brazil, [email protected] (Collaborator-Project IAI-Antares) (Field work, laboratory Antares Station Ubatuba) 7. Natalia de Moraes Ruddorf, Instituto Nacional de Pesquisas Espaciais (INPE), Brazil, [email protected] (Collaborator- Satellite component-Project IAI-Antares) 8. Caroline Cichoski, Universidade de São Paulo, Instituto de Energia e Ambiente (IEE- PROCAM/USP), [email protected] (Collaborator-Project IAI-Antares) (Ecosystem services / Ocean governance / Ecological economics / Environmental economics component) 9. Iuri Amazonas, Universidade de São Paulo, Instituto de Energia e Ambiente (IEE- PROCAM/USP), [email protected] (Collaborator-Tur-Project IAI-Antares)

1. Project title, Project Number, Principal Investigator ... · IMARPE (Peru)----- OK Unfortunately, as for today 15 of May 2015, CONABIO (Mexico), INOCAR (Ecuador) and CIOH (Colombia)

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1. Project title, Project Number, Principal Investigator and contact details

ASSESSMENT OF MARINE ECOSYSTEM SERVICES AT THE

LATIN-AMERICAN ANTARES TIME-SERIES NETWORK

CRN3094

PI: Milton Kampel, Instituto Nacional de Pesquisas Espaciais (INPE), Brazil,

[email protected]

Participants by country, affiliation and role in the project:

Brazil

1. Milton Kampel, Instituto Nacional de Pesquisas Espaciais (INPE), Brazil,

[email protected] (PI-Project IAI-Antares) (Antares Station PI – Ubatuba)

(Satellite component-Project IAI-Antares)

2. Alexander Turra, Universidade de Sao Paulo, Instituto Oceanográfico (IO-USP),

Brazil, [email protected] (CoPI-Project IAI-Antares) (Ecosystem services / Ocean

governance / Ecological economics / Environmental economics component-Project

IAI-Antares)

3. Paulo Sinisgalli, Universidade de Sao Paulo, Escola de Artes, Ciências e

Humanidades (EACH-USP), Brazil, [email protected] (CoPI-Project IAI-Antares)

(Ecosystem services / Ocean governance / Ecological economics / Environmental

economics component-Project IAI-Antares)

4. Pedro Roberto Jacobi, Universidade de São Paulo, Faculdade de Educação (FE-

USP), [email protected] (CoPI-Project IAI-Antares) (Ecosystem services / Ocean

governance / Ecological economics / Environmental economics component-Project

IAI-Antares)

5. Salvador Gaeta, Universidade de Sao Paulo, Instituto Oceanográfico (IO-USP),

Brazil, [email protected] (Collaborator-Project IAI-Antares) (Antares Station PI –

Ubatuba)

6. Mayza Pompeu, Universidade de Sao Paulo, Instituto Oceanográfico (IO-USP),

Brazil, [email protected] (Collaborator-Project IAI-Antares) (Field work, laboratory

Antares Station – Ubatuba)

7. Natalia de Moraes Ruddorf, Instituto Nacional de Pesquisas Espaciais (INPE),

Brazil, [email protected] (Collaborator- Satellite component-Project IAI-Antares)

8. Caroline Cichoski, Universidade de São Paulo, Instituto de Energia e Ambiente (IEE-

PROCAM/USP), [email protected] (Collaborator-Project IAI-Antares)

(Ecosystem services / Ocean governance / Ecological economics / Environmental

economics component)

9. Iuri Amazonas, Universidade de São Paulo, Instituto de Energia e Ambiente (IEE-

PROCAM/USP), [email protected] (Collaborator-Tur-Project IAI-Antares)

2

(Collaborator-Project IAI-Antares) (Ecosystem services / Ocean governance /

Ecological economics / Environmental economics component)

10. Patricia Pinho, Brazil, [email protected](Collaborator-Social Science)

11. Silvana Vianna Rodrigues, Universidade Federal Fluminense, Brazil,

[email protected] (Collaborator-Pigment analysis-Project IAI-Antares)

Argentina

12. Vivian Lutz, Instituto Nacional de Investigación y Desarrollo Pesquero, Consejo

Nacional de Investigaciones Científicas y Técnicas (INIDEP-CONICET), Argentina,

[email protected] (CoPI-Project IAI-Antares-coordination activities) (Antares

Station Co-PI – Bio-optics– EPEA)

13. Rubén Mario Negri, Instituto Nacional de Investigación y Desarrollo Pesquero,

Universidad Nacional de Mar del Plata, Facultad de Ciencias Exactas y Naturales

(INIDEP-FCEN-UNMdP), Argentina, [email protected] (CoPI-Project IAI-

Antares) (Antares Station PI –- Plankton dynamics- EPEA)

14. Martina G. Chidiak, Universidad de Buenos Aires, Facultad de Ciencias Económicas

(ECON-UBA), Argentina, [email protected] (CoPI-Project IAI-Antares)

(Socioeconomic analysis & Environmental economics component-Project IAI-

Antares) (Ecosystem services / Ocean governance / Ecological economics /

Environmental economics component-Project IAI-Antares)

15. I. Carciofi, independent consultant, [email protected] (Collaborator -

Socioeconomic analysis & Environmental economics component-Project IAI-Antares)

(Ecosystem services / Ocean governance / Ecological economics / Environmental

economics component-Project IAI-Antares)

16. Ana Dogliotti, Instituto de Astronomía y Física del Espacio, Consejo Nacional de

Investigaciones Científicas y Técnicas (IAFE-CONICET), Argentina,

[email protected] (Collaborator - Satellite component-Project IAI-Antares)

17. Martín Saraceno, Centro de Investigaciones del Mar y la Atmósfera, Consejo

Nacional de Investigaciones Científicas y Técnicas, Universidad de Buenos Aires

(CIMA-CONICET-UBA); Departamento de Ciencias de la Atmósfera y de los

Océanos, Universidad de Buenos Aires (DCAO-UBA), Argentina,

[email protected] (Collaborator - Satellite component-Project IAI-Antares)

18. Virginia Palastanga, Consejo Nacional de Investigaciones Científicas y Técnicas

(CONICET), Servicio de Hidrografía Naval, [email protected] (Collaborator

- Modeling component-Project IAI-Antares)

19. Mario Carignan, Instituto Nacional de Investigación y Desarrollo Pesquero

(INIDEP), Argentina, [email protected] (Collaborator-Project IAI-Antares)

(Nutrients- Antares Station – EPEA)

3

20. Ricardo Silva, Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP),

Argentina, [email protected] (Collaborator-Project IAI-Antares) (Phytoplankton-

Antares Station – EPEA)

21. Valeria Segura, Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP),

Argentina, [email protected] (Collaborator-Project IAI-Antares) (Primary

Production- Antares Station – EPEA)

22. Guillermina Ruiz, Consejo Nacional de Investigaciones Científicas y Técnicas

(CONICET), Argentina, [email protected] (Collaborator-Project IAI-

Antares) (Bio-optics- Antares Station – EPEA)

23. Carla Berghoff, Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP),

Argentina, [email protected] (Collaborator-Project IAI-Antares) (Carbonate

System- Antares Station – EPEA)

24. Ezequiel Cozzolino, Instituto Nacional de Investigación y Desarrollo Pesquero

(INIDEP), Argentina, [email protected] (Collaborator-Project IAI-Antares)

(Collaborator - Satellite component-Project IAI-Antares)

25. Blas Amato Uriburu, PIRNA (Programa de Investigaciones en Recursos Naturales y

Ambiente), Facultad de Filosofía y Letras, Universidad de Buenos Aires, Argentina,

[email protected], (Collaborator- Social Analysis-Project IAI-Antares).

Mexico

26. Eduardo Santamaría-del Ángel (Antares Coordinator), Facultad de Ciencias

Marinas, Universidad Autónoma de Baja California (FCM-UABC), Mexico,

[email protected] (CoPI-Project IAI-Antares) (Antares Station PI –

Ensenada) (Satellite component-Project IAI-Antares)

27. Roberto Millán-Núñez, Facultad de Ciencias Marinas, Universidad Autónoma de

Baja California (FCM-UABC), Mexico, [email protected] (CoPI-Project IAI-

Antares) (Pigments analysis component-Project IAI-Antares)

28. Adriana González-Silvera, Facultad de Ciencias Marinas, Universidad Autónoma de

Baja California (FCM-UABC), Mexico, Adriana.gonzalez @uabc.edu.mx

(Collaborator – Bio-optics - Ensenada Station - Project IAI-Antares)

29. Ramon Cajal-Medrano, Facultad de Ciencias Marinas, Universidad Autónoma de

Baja California (FCM-UABC), Mexico, rcajal @uabc.edu.mx (Collaborator –

Nutrients- Ensenada Station - Project IAI-Antares)

30. Omar Cervantes, Facultad de Ciencias Marinas (FACIMAR),Universidad de Colima,

Mexico, [email protected] (Collaborator – Ecosystem services / Ocean

governance / Ecological economics / Environmental economics component-Project

IAI-Antares)

4

(Collaborator-Project IAI-Antares) (Ocean Satellite estimates / Processing and

distribution of satellite information)

31. Sergio Cerdeira-Estrada, Comisión Nacional para el Conocimiento y Uso de la

Biodiversidad (CONABIO), Mexico, [email protected] (CoPI-Project IAI-

Antares) (Satellite component-Project IAI-Antares)

Venezuela

32. Yrene M. Astor, Fundación La Salle de Ciencias Naturales, Estación de

Investigaciones Marinas de Margarita (EDIMAR-FLASA), Venezuela,

[email protected] (CoPI-Project IAI-Antares) (Antares Station PI – Cariaco)

33. Ramon Varela, Fundación La Salle de Ciencias Naturales, Estación de

Investigaciones Marinas de Margarita (EDIMAR-FLASA), Venezuela,

[email protected] (Collaborator- Antares Station – Cariaco Project IAI-

Antares)

34. Jaimie Rojas, Fundación La Salle de Ciencias Naturales, Estación de Investigaciones

Marinas de Margarita (EDIMAR-FLASA), Venezuela, [email protected]

(Collaborator- Antares Station – Cariaco Project IAI-Antares)

35. Luis Medina, Fundación La Salle de Ciencias Naturales, Estación de Investigaciones

Marinas de Margarita (EDIMAR-FLASA), Venezuela, [email protected]

(Collaborator- Antares Station – Cariaco Project IAI-Antares)

Chile

36. Rubén Escribano, Departamento de Oceanografía, Universidad de Concepción

(IMO- UdeC), Chile, [email protected] (CoPI-Project IAI-Antares)

(Antares Station PI – Concepción)

37. Carmen Morales, Departamento de Oceanografía, Universidad de Concepción (IMO-

UdeC), Chile, [email protected] (Collaborator- Plankton dynamics- Antares Station–

Concepción Project IAI-Antares)

Peru

38. Jesus Ledesma, Instituto del Mar del Perú (IMARPE), Peru,

[email protected] (CoPI-Project IAI-Antares) (Antares Station PI – IMARPE)

39. Luis Escudero Herrera, Instituto del Mar del Perú (IMARPE), Peru,

[email protected] (CoPI-Project IAI-Antares) (Antares Station PI – IMARPE)

USA

40. Robert Frouin, Scripps Institution of Oceanography, University of California-San

Diego (SIO-UCSD), USA, [email protected] (CoPI-Project IAI-Antares) (Satellite

component-Project IAI-Antares) (Modeling component-Project IAI-Antares)

5

41. Shubha Sathyendranath, Plymouth Marine Laboratory, UK,

[email protected] (Collaborator-Advisor Antares Network - Project IAI-

Antares)

(Collaborator-Project IAI-Antares) (Ocean Field estimations / Measurements at sea

and analyses of samples)

Colombia

42. Mary Luz Cañón-Páez, Centro de Investigaciones Oceanográficas e Hidrográficas

del Caribe (CIOH), Colombia, [email protected] (Collaborator - Project IAI-

Antares) (Antares Station Co-PI – Cartagena)

43. Gustavo Tous, Centro de Investigaciones Oceanográficas e Hidrográficas del Caribe

(CIOH), Colombia, [email protected] (Collaborator - Project IAI-Antares)

(Antares Station PI – Cartagena)

44. Liseth Arregoces, Centro de Investigaciones Oceanográficas e Hidrográficas del

Caribe (CIOH), Colombia, [email protected] (Collaborator- Field

work Antares Station– Cartagena - Project IAI-Antares)

Ecuador

45. María Elena Tapia, Armada del Ecuador, Instituto Oceanográfico de la Armada

(INOCAR), Ecuador, [email protected] (Collaborator - Project IAI-Antares)

(Antares Station PI – La Libertad/Manta)

46. Christian Manuel Naranjo Padilla, Armada del Ecuador, Instituto Oceanográfico de

la Armada (INOCAR), Ecuador, [email protected] (Collaborator - Project

IAI-Antares) (Antares Station PI – La Libertad/Manta)

6

2. Project funding

Complementary Funds 2014

Donor name Recipient institution / PI Amount

POGO-Nippon Foundation UABC 35,000 USD

PETROBRAS/FUNCATE INPE 15,000 USD

Office of Naval Research -

Global

INPE 25,000 USD

INIDEP funds for cruises INIDEP 45,000 USD

PIDDEF (Ministry of Defense) INIDEP 10,000 USD

CONICET International

Cooperation linked to IAI-

CRN3094

INIDEP 5,000 USD

Consejo nacional de Ciencia y

Tecnologia (CONACYT) Mexico

UABC $15,000 USD

UABC UABC $10,000 USD

FONACIT/MCTI, Venezuela.

Project 2011000353

Fundación La Salle, UDO,

IVIC, USB

Bs 2,626,197.22

National Science Fundation,

USA-Venezuela

University of South Florida

1 year funding, ship time

$41,000

CONICYT Chile funds for

cruises

UdeC $30,000 USD

IMARPE funds for cruises IMARPE $20,000 USD

Total 251,000 USD

Administration IAI-CRN3094

We provide here a statement of the current state in each institution. We have 9 participating

institutions, from 7 countries. This is the list of institutions with signed agreements:

INPE (Brazil) -------------------------------OK

USP (Brazil)--------------------------------- OK

INIDEP (Argentina)-------------------------OK

UDEC (Chile)------------------------------- OK

UBATEC (Argentina)---------------------- OK

SIO (USA) ----------------------------------- OK

EDIMAR (Venezuela)-----------------------OK

UABC (Mexico)---------------------------- OK

IMARPE (Peru)---------------------------- OK

Unfortunately, as for today 15 of May 2015, CONABIO (Mexico), INOCAR (Ecuador) and

CIOH (Colombia) were unable to sign their respective sub grant agreements. Hence, very

much to our frustration they cannot have Co-PIs or receive funds from this project.

Nevertheless, the colleagues from these institutions are willing to keep on interacting and

working in the project as Collaborators.

7

3. Research Activities and Findings

LONG TERM GOALS

Our overarching long term goal is to understand the impact that changes in the ocean may

have especially in regulating and supporting ecosystem services provided by phytoplankton

and to investigate the connection of these ecosystem services with the human populations in

the coastal areas of the Antares network sites (Argentina, Brazil, Chile, Colombia, Ecuador,

Peru, Mexico and Venezuela). In addition, we intend to understand the functioning of the

different local systems, including how they are connected at a regional scale.

OBJECTIVES

The primary goals of this study are:

1. Evaluate the main temporal trend in changes in phytoplankton biomass and

composition at each region and the main environmental variables.

2. Identify and assess ecosystem services associated with phytoplankton and the

influence of natural and man- made (climate change-local) drivers.

3. Characterize the linkages between trends in phytoplankton ecosystem services via

economic activities such as fisheries, and key services as carbon uptake and nutrient

cycling.

4. Generate integrated Socioeconomic and Natural Science assessment methods to better

understand and communicate the dynamics of ecosystem services and their policy

implications.

APPROACH

Our approach to achieving the above objectives consists of the following components:

1. Integrate data on phytoplankton and oceanographic variables regulating their growth

collected at eight time-series stations around Latin America (Argentina, Brazil, Chile,

Colombia, Ecuador, Peru, Mexico and Venezuela). Historical in situ observations

together with remote sensing information will be used to investigate the state and

trend of changes in phytoplankton populations and the oceanographic environment.

2. Complement these studies by modeling tasks aimed at understanding the functioning

of the different local systems.

3. Focus on some (unexplored) linkages between the natural and socioeconomic systems:

the channels through which phytoplankton ecosystem services are related and

contribute to the socioeconomic system and how global change is affecting them.

Exploring these relationships will be the main contribution of the project with regard

to its multidisciplinary objective.

8

4. Work Plan for Next Year with Associated Costs*

CNR 3094

Work Plan (more in detail for 2015)

Project Components - Scheme of Connections

A scheme of connections among the components of the project was sketched, where

we highlighted the main natural variables that are being estimated and how they serve as input

to interdisciplinary studies of some ecosystem services provided by phytoplankton, and

scenario analysis. This is an extremely simplified sketch, more natural variables and processes

(such as physical drivers of phytoplankton blooms) will be analyzed and used in building our

understanding of how possible changes in phytoplankton will affect society. One of the goals

of the project is to make visible to society the important role of phytoplankton in our lives.

Therefore, here we will focus (within the natural component) on phytoplankton and the main

factors affecting it in the ocean (e.g., light, temperature) and we will have to make some

gross-basic accepted assumptions regarding other natural factors (e.g., intermediate steps in

the food web and transferences among them).

* Note on Associated Costs:

Expected budget corresponds to Summary of YEAR 1 + 80% of YEAR 2. Please see the

reviewed Budget bellow.

9

I. Research activities

A. Natural science

Ocean Field estimations

(i) Measurements at sea and analyses of samples

Continuing sampling at the Antares time-series-stations will involve the work of Co-

PIs and collaborators dedicated to the measurements of variables at sea and analyses of

samples in the laboratory (see complete list of variables in Table-1 of the proposal, and main

ones in Figure 1 of this report). Carrying out this type of frequent sampling requires the

conjunct effort from many researchers, only those main responsible in this project are

mentioned here:

Mayza Pompeu (USP), Salvador Gaeta (USP), Milton Kampel (USP) from the Antares-

Ubatuba station (Brazil).

Eduardo Santamaria, Roberto Millan, Adriana Gonzalez from the Antares-Ensenada station

(UABC, Mexico).

Ruben Escribano (UdeC), Carmen Morales (UdeC) from Station 18 off the Concepcion

(Chile).

Rubén Negri (INIDEP), Vivian Lutz (INIDEP), Ricardo Silva (INIDEP), Guillermina Ruiz

(CONICET) from the EPEA station (Argentina).

Luis Escudero (IMARPE), Jesús Ledesma (IMARPE) from IMARPE station (Peru).

Yrene Astor (EDIMAR), Jaimie Rojas (EDIMAR), Luis Medina (EDIMAR) from CARIACO

station (Venezuela).

Due-date: Collecting data with periodicity will continue throughout the project at each time-

series station (also including the stations in Colombia and Ecuador).

(ii) Organization of the in situ database

A general format for a unified in situ data-base will be coordinated by Guillermina Ruiz, Luis

Medina, Jesus Ledesma and Ruben Escribano. They will interact with one local contact in

each station.

Due-date-1: June 2015. Advanced, draft dataset.

Due-date-2: September 2015. Database up-to-date in a format easy to keep on including new

data coming.

Associated Costs with A(i) and A(ii) = 74,420.00USD

(Including Res. Assist., equipments, materials, travel)

Ocean Satellite estimations

(iii) Processing and distribution of satellite information

As a first phase it was agreed to re-establish the system of processing and distribution

of satellite information that Antares had previously, this will be done at INPE (Brazil) in

collaboration with CONABIO (Mexico).

Responsible: Milton Kampel and Sergio Cerdeira.

10

Due-date-1: before end of June 2015:

- ANTARES network webpage is running from CONABIO. A mirror will be installed at

INPE before the end of June 2015.

- An expert in the implementation of the system running at the USF provided a full list of

technical/computational requirements necessary for the operation.

- Milton Kampel will make the arrangements for running the system from INPE.

- Sergio Cerdeira will contact CONABIO authorities to confirm the feasibility to run the

system from there, as a mirror.

- Vivian Lutz will contact the Co-PIs from the Antares stations to get the area of interest

around their station to be used for retrieving satellite information.

Foreseeable troubles: Sometimes internet connection may be too low to download data from

NASA in real-time in Brazil (the same may happen in Mexico). However, a delay (1 or 2

days) in displaying the data would be the only consequence of this situation. It was agreed

that this may not represent a critical problem.

A second phase (2015-2016) will contemplate the incorporation of new tools useful

for the user, such as the possibility to obtain in a simple way a time series of satellite data on a

certain product (e.g., SST and Chla); as well as obtaining a continuous transect of data

between two coordinates. The use of altimetry information to derive circulation around our

Antares sites will be assessed (Martín Saraceno).

Associated Costs with A(iii) = 19,180.00USD

(Including Res. Assist., Equipment, Travel)

(iv) Satellite modelling of Primary and Fish Production

As a first step it was agreed that an existing global estimation of PP (Oregon

University)* will be used in 2015.

The simple ‘fish potential production’ of Pauly (2005) will be used to parameterize the

transference of biomass from phytoplankton to the fisheries of interest.

FP=PP * (TE)^(NT-1)

FP: potential fish production

PP: primary production

TE: trophic efficiency

NT: number of trophic levels

Responsible: Milton Kampel – Omar Cervantes – Ignacio Carciofi.

Due-date-1: June 2015. Vivian Lutz will contact the Co-PIs from each station to get

information about the species of interest, preferentially small pelagic fish, and the area of

distribution (which could be large, but should include the Antares time-series station).

Due-date-2: July 2015 draft fisheries model.

Due-date-3: September 2015 first results of the model.

11

* Later on (2015-2016) the PP estimations for the areas around stations that perform PP

experiments can be improved by using a more appropriate model, which requires field

estimations of photosynthetic parameters (Ana Dogliotti, Ezequiel Cozzolino).

In a second phase the PP estimations obtained by Ocean Modelling can be used to set

different starting points in these estimations. Either the more refined from the NPZD model,

as well as the more gross resolution in space but higher temporal resolution provided by the

NEMO (large scale model). This last model offers the possibility of setting future scenarios

for the PP.

Associated Costs with A(iv) = 9,000USD

(Including Res. Assist.)

(v) Ocean Modelling (NPZD)

A version of the Regional Ocean Modelling System (ROMS) coupled to a

biogeochemical model is just starting to be implemented for our Antares time-series. The

activities will be aimed at setting the parameters and frame for the Nitrogen-Phytoplankton-

Zooplankton-Detritus model for the EPEA station in Argentina at first, and later on (2015-

2016) for the CARIACO station. Model variables include Chla, one type of phytoplankton,

one type of zooplankton, small and large detritus of nitrogen and carbon, and the model

diagnoses rates of primary production (new and regenerated).

Responsible: Virginia Palastanga, Vivian Lutz, Ruben Negri, Ricardo Silva.

Due-date-1: May 2015. First meeting among the experts responsible of the activities,

development of working plan.

Due-date-2: September 2015. First model results.

Associated Costs with A(v) = 7,200USD

(Including Res. Assist.)

(vi) Ocean Modelling (NEMO large scale)

Seasonal maps for the whole Latin America (including all Antares stations) will be

obtained for the distribution of: Temperature, PP, Chla, two main types of phytoplankton,

zooplankton, and difference of partial pressure of CO2 between the atmosphere and the ocean.

Although the spatial resolution is low (0.5°), it will provide a frame of environmental

conditions, plankton distribution and processes at a larger regional scale connecting the more

fine resolution information obtained at the local in situ data or by the NPZD model.

NEMO, which includes a circulation model (ORCA) and a biogeochemistry model

(PISCES) is running operationally at SIO. This model can be run in a long time-series as a

‘hind-cast’ (from 1960) and as a ‘fore-cast’ (up to 100 years into the future). This will allow

in a second phase to assess long-term trends in the variables of interest.

Responsible: Robert Frouin.

Due-date-1: June 2015 advanced on the model runs.

Due-date-2: September 2015 first seasonal maps.

Associated Costs with A(vi) = 9,000USD

12

(Including Res. Assist.)

B. Integrated (Socioeconomic) Analysis of Ecosystem Services

(i) Case Study: ‘Recreational value of a coastal area’

At one (possible two) coastal areas close to some of our Antares stations it will be

assessed the willingness to pay (cost of travel, hotel, food, use of sport equipment) to spend

time at a beach resort because of the quality or beauty of the place will be assessed via a

“travel cost” method. The definition of this “coastal scenery2” will be related to the color

(trophic state) and temperature (SST) of the ocean.

An index to be be developed will include some of the natural variables measured:

Chla (proxy of phytoplankton biomass), SST (temperature), PAR (sunlight), kd (measure of

water transparency), aph (measure of influence of phytoplankton in water transparency), ad

(measure of influence of non-phytoplankton particles in water transparency), ay (measure of

influence of dissolved organic matter in water transparency).

[High PAR + low kd (more influenced by aph, than by ad and ay] → Benefits ($).

Responsible: Omar Cervantes – (+student) – (collaborators: Martina Chidiak and Ignacio

Carciofi on methodology)

Due date-1: June 2015 first outline of the study (methodology-study in Mexico).

Due-date-2: September 2015. First draft Methodology and Mexico Study.

During 2016-2017: A similar study, using a similar methodology, will be implemented in

another Antares site (e.g., close to EPEA coastline: Mar del Plata – Miramar, Argentina).

2The natural features of a landscape considered in terms of their appearance, especially when

considered like an environmental active (economics) give support to an economic activity like tourism

and recreation. These issues are linked to human welfare.

Associated Costs with B(i) = 8,400.00USD

(Including Res. Assist.)

(ii) Regional scenario analysis. Basic trends in primary production and

socioeconomic impacts in the fisheries sector.

In order to set the scene for the dialogue with policymakers at the first workshop, an initial

approach to analyze and present -in a friendly format- the regional diversity covered in the

project and the projected trends for primary production and their effects on fisheries will be

elaborated. The results will be presented in a scenario format with colored maps reflecting the

trends in basic natural and socioeconomic statistics (i.e. indicating increase or decrease). This

will be developed on the basis of available socioeconomic and natural (primary production)

information. The socioeconomic data will be gathered from FAO and other regional -e.g.

CEPAL- statistics on fisheries' production and this sector's economic relevance -exports,

GDP, employment- for all Latin American countries included in the project. This task will be

performed by the socioeconomic team in Argentina -students funded in the frameworks of the

UBATEC contract+economic consultant-) and the scenario analysis will be developed in

collaboration with INPE/INIDEP/USP CO-PIs. The data on primary production will be based

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on satellite information and preliminary model estimates (please see Satellite modelling of

Primary and Fish Production above).

Associated Costs with B(ii) = 9,600USD

(Including Res. Assist., travel)

C) Socioeconomic Analysis

Apart from making the first attempts at measuring ecosystem services and their

socioeconomic impacts, another important contribution from this project will be to expand

our understanding of the linkages between ecosystem services and human groups (in their

different scales at local, regional and national socioeconomic systems). This will be done

using a variety of approaches, many of them interdisciplinary, as reflected in the following list

of studies that will be partly based on dialogue and interaction with decision-makers:

(i) Framing Study. Ocean Governance: Analysis of global and regional mechanisms.

Assessment of the role of ecosystem services and socio-economic impacts.

Analysis of the existing ocean governance framework, survey of the debate on global and

regional governance mechanisms. Review of property-right regimes in Exclusive Economic

Zones, and regulations on fish stocks management. Assessment of the economic role of

marine ecosystem services (provisioning, regulating, cultural and supporting services) and

their essential contribution to sustainable development: threats to marine ecosystem services

and economic impacts. Formal and informal mechanisms in place. Interviews with foreign

office representatives at regional (Mercosur) level.

Responsible: Cecilia Filipello (MA Thesis – International Relations)– Martina Chidiak

(supervisor)

Due date-1: July 2015: First draft– literature review and information mapping.

Due-date-2: September 2015. Second Draft.

Due date 3: December 2015: Results (paper).

Associated Costs with C(i) = 12,700.00USD

(Including Res. Assist., Travel)

(ii) Case Study on Social Learning

The task is to do an integrated assessment of Ecosystem Services (ESs) associated to

marine primary productivity, to understand and communicate the dynamics of these and their

implications facing the need to adapt to climate change. We will run a survey in ESs primary

productivity caused by local and global changes, and how these change the dynamics of local

communities that are dependent on ESs, eg. fishing - provision service. In order to understand

how these impacts and changes may require adaptation processes by these actors and assess

how these impacts are perceived / identified by the affected stakeholders. For such we will do

a mapping of relationships and actions between the actors affected by the changes and actors

who manage such changes (decision makers).

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We will develop a communication process and knowledge transfer to stakeholders in order to

understand and also foster social learning within adaptations and management impacts. Steps

2015.

1 - Mapping of specific actors related to marine ESs;

2 - Survey of changes / impacts on related ESs.

3 - Survey of information - how the issue is the agenda of decision makers.

4 - Transfer / translation of information for decision makers - start development tool.

Responsible: Carol Cichosky – Alex Turra – Paulo Sinisgalli – Pedro Jacobi

Associated Costs with C(ii) = 28,800.00USD

(Including Res. Assist.)

(iii) Case Study. Perception and Evaluation of linkages between artisanal fisheries

and tourism in UBATUBA, SP, Brazil In order to identify the causes of main impacts of fishing and tourism activities over the

marine ecosystem, we will perform a survey focused on the main impacted groups, especially

the artisanal fishermen (who rent boats for fishing and those who use canoes). We also want

to understand how they perceive changes in the marine ecosystem and how they can be

negatively affected by/adapt to changes in the marine ecosystem.We will map the decision

makers and build an organization chart containing the institutions involved in the governance

and their roles. This mapping will be focused on fisheries and tourism, and we will try to

include the project theme in discussions of these groups. During 2016 and 2017, we will

conduct a study of temporal occupation of the territory of Ubatuba, in order to understand

temporal relationship between the 'natural' data and the territorial expansion and associated

changes in the marine ecosystem.

Due date-1: July 2015: First draft– literature review and assessment of impacts.

Due-date-2: September 2015. Second Draft -organization chart of the institutions involved in

governance and its attribution.

Responsible: Iuri Amazonas - Alex Turra – Paulo Sinisgalli – Pedro Jacobi

Associated Costs with C(iii) = 11,600.00USD

(Including Res. Assist.)

(iv) Socioeconomic Impacts of Fisheries (Argentina)

Economic Analysis of the Adverse Shocks to Fishing Stocks Produced by Climate

Change. A Simulation Model

The main purpose of this study is to analyze the economic impact of climate change on the

fishing activity. The natural science component of Antares project is developing a parametric

analysis of the transference of biomass to phytoplankton for several fisheries, thereby

providing a valuable input for assessing physical magnitudes and stocks. A potential negative

shock on the biomass would have severe economic consequences for the fishing sector in

Argentina and therefore the need for studying it.

The economic analysis will be carried out with a partial equilibrium framework with a

fisheries' model. Climate change impacts on phytoplankton and fish biomass will be

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considered as negative supply shocks. The parameters of the shock and the associated time

path will rely on the results from many research activities from the natural component. The

first input for considering ‘potential fish production’ will be the output of the “Satellite

modeling of Primary and Fish Production”.

The model will attempt an estimate of price and quantities associated with negative supply

shocks. Once these primary results are obtained, the analysis can be extended to consider

impacts on different suppliers as well as on Argentine exports. The model also allows other

connections of high policy relevance. Firstly, the question biomass sustainability. Different

species like Hubbsi Hake have been over exploited for several years and stocks are gradually

recovering mainly due to two factors: macroeconomic variables and regulation. How this

dynamic is affected by a combination of negative shocks, higher prices and a potential

increasing fishing efforts? While part of the answer has to do with biological issues, it is also

interesting to investigate how the economic activity would result in the new scenario. Second,

climate change effects might not have a uniform impact across regions. If impacts are

geographically concentrated it is expected that fishing efforts will move on accordingly.

However, industrial facilities located in land –including harbors- and employment may not

have similar mobility. Third, and assuming a reduction of available biomass, the research

should enter into the likely impacts on the fishing sector –particularly on fishing fleets. In the

past, overexploitation led to outright closures and, more recently, to fishing quotas. The

adjustment entailed considerable costs in terms of employment and reduction of capital. Also

social costs were unevenly distributed between different players. However, climate change

impacts are of different nature: they develop gradually and during a considerable time span.

Therefore, public policies have, in principle, a greater chance to intervene with adequate

instruments. Finally, the study should devote attention to issues of capital mobility within the

fishing sector.

It is expected that the proposed study will provide new data and analysis thereby

contributing to a largely unexplored field. Furthermore, the research may contribute to policy

design and to widen the dialogue among different stakeholders and to foster the dialogue

among natural scientists and socioeconomic researchers.

Due date-1: September 2015: Methodological Framework and Preliminary Analysis.

Due-date-2: December 2015: Study First draft

Responsible: Ignacio Carciofi (+student).

Associated Costs with C(iv) = 23,400USD

(Including Res. Consult.)

2. Other Activities (co-construction, dissemination and communication)

(i) Project Meetings

The need to maintain a more frequent communication was mentioned as a key factor

for the progress of this multidisciplinary and multitudinary project. To reduce costs, it was

proposed to have monthly virtual meetings and one presencial meeting during 2015.

Coordinators of the Virtual Meetings: Vivian Lutz and Sergio Cerdeira.

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It was also decided to have periodical virtual meetings of each disciplinary

component, grouped as follows: Group 1 – In situ time series; Group 2 – Satellite; Group 3 –

Natural models; Group 4 – Ecosystem services and socio-economics.

The presential meeting will be tail-to-tail with the ‘Congreso Latinoamericano de las Ciencias

Marinas COLACMAR 2015’ to be held in Santa Marta, Colombia in October 2015. In this

way some of the participants would have the cost of the travel financed by other sources, and

fewer travel expenses will be covered by this project. Eduardo Santamaria and Gustavo Tous

will coordinate and maintain participants informed about this meeting.

(ii) Workshop with decision-makers

In the last quarter of 2015 it is envisaged that a dialogue space with decision-makers

from Brazil and Argentina and other possible countries (such as Mexico) will be initiated to

discuss with them the preliminary inter-disciplinary scenarios, conduct perception analysis

and co-construct the relevant questions and analysis.

To this aim, a workshop with participation of project representatives (from both natural

science and socioeconomic analysis teams) and decision-makers will be conducted. The

workshop will aim at discussing the work plan and preliminary results (on scenarios) with

decision-makers. During (or shortly before) the workshop a study on decision-maker

perceptions on phytoplankton ecosystem services and their socioeconomic impacts and links

to climate change will be conducted. Key collaborators in the socio-economic team will

participate and develop perception analysis (Blas Amato, UBATEC team).

Associated Costs with 2(ii) = 36,600USD

(Including Res. Assist. and Travel)

*We should also consider the use of some funds for communications with decision-makers,

stake-holders, as well, as some traveling for fulfilling the activities properly.

Associated Costs = 9,600.00USD

Summary of Associated Costs

Activity Budget (USD)

A(i)+A(ii) 74,420

A(iii) 19,180

A(iv) 9,000

A(v) 7,200

A(vi) 9,000

B(i) 8,400

B(ii) 9,600

C(i) 12,700

C(ii) 28,800

C(iii) 11,600

C(iv) 23,400

2(i) 0,00

2(ii) 36,600

Adm. 25,950

Extras 9,600

Total 285,450

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3. Publications

The following publications are envisioned at the moment:

NATURAL COMPONENT

- Finishing manuscript about the different temporal trends in sea-surface-temperature and

chlorophyll at the different Antares stations. Interpretation of possible changes.

Main responsible: Eduardo Santamaria.

Time frame: June 2015. Circulate first draft, to be submitted in September.

- Start of a manuscript about the difference in the index of turbulent kinetic energy in relation

to the variations in Chla at each site. To check the importance of physical processes driving

the system.

Main responsible: Eduardo Santamaria.

Time frame: Circulate Outline in September.

SOCIOECONOMIC COMPONENT

- Each socio-economic study will lead to a specific paper/document (in some cases, MA/MSC

or PhD Thesis).

-The economic analysis of climate change impacts for fisheries' in Argentina will lead to a

methodological paper and a results paper.

INTERDISCIPLINARY ANALYSIS

- Scenario analysis will lead to an initial discussion-paper that will set the background for the

workshop decision-makers.

– A final discussion paper on corrected scenarios including methodology and results.

- A manuscript will be produced about the project and first results found. This would be

submitted to EOS magazine (circulate outline December 2015). Responsible: Adriana

Gonzalez - Milton Kampel (with collaboration of Ignacio Carciofi and Martina Chidiak)

-The case study on valuation of ecosystem services in tourism (travel cost method) may lead

to a methodological paper and a results paper.

4. Perspective for 2016-2017

Based on the research results from 2015, deeper analysis and interpretation of the

‘natural’ information (in situ, satellite and models) will be performed to obtain a picture of the

actual phytoplankton populations and their trends (changes in biomass and composition) at

the different Antares sites. This will provide the most ‘realistic’ status of the primary trophic

level to be compared with the scenarios developed in the natural-socio-economic case studies.

Further to the cases on fisheries and tourism, other aspects of connection between

phytoplankton and society, such as ‘ocean acidification’ and ‘detection of Harmful Algal

Blooms’, will be investigated.

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On the basis of the afore mentioned (natural science) results and of the local analysis

involved in inter-disciplinary and socio-economic case studies on phytoplankton ecosystem

service changes, trends and their socio-economic impacts (including perception analysis and

of the role of scientific information in decision-making), a more thorough understanding of

the socioeconomic impacts from phytoplankton ecosystem service changes will be gained.

This will allow the development of revised phytoplankton ecosystem service scenarios

considering local information/analysis. These scenarios will be discussed in the final project

workshop with decision-makers in 2017. As previously mentioned, an additional study on

effective communication to decision-makers of (climate change related and complex)

information of this sort is envisioned in the context of a post-doc at UBA (Facultad de

Ciencias Economicas) by Veronica Gutman.

5. FINAL CONSIDERATIONS

We proceeded to remove from the budget, in the different years the amounts corresponding

to CONABIO (Mexico), INOCAR (Ecuador) and CIOH (Colombia). The work plan for 2015

has been also slightly arranged according to the new situation. This has not signified a big

change, since all the researchers involved from these institutions have manifested their

commitment to keep on contributing with their activities in the project as collaborators. For

this reason, the original objectives of the proposed work-plan are not compromised.