47
RIVER DOLPHIN POPULATION ASSESSMENT IN YARINA LAGOON, PERU CLP ID 02195914 Elizabeth Campbell [email protected] Calle Jose Galvez 780- E Miraflores, Lima PERU 51-1-4451816
RIVER DOLPHIN
POPULATION ASSESSMENT
IN YARINA LAGOON, PERU CLP ID 02195914
Elizabeth Campbell
Calle Jose Galvez 780- E
Miraflores, Lima PERU
51-1-4451816
1
Acknowledgements
This work was supported by the Conservation Leadership Programme, We are appreciative to the support of the
NGO ProDelphinus and University of Exeter. Thanks to Brendan Godley, Jeffrey Mangel and Joanna Alfaro-Shigueto
for their helpful recommendations on the methodology, data analysis and reports. We are also grateful to Nick
Treganza, Robert Palacios, Luis Miguel Barron and all researchers that helped or participated in the collection of data
used in this study. We would also like to thank the communities of Pucallpa, and Yarinacocha lagoon for their
generous hospitality to the researchers that were involved in the study.
2
Table of Contents
Section 1: ................................................................................................................................................................................................... 3
Summary ............................................................................................................................................................................................... 3
Introduction ......................................................................................................................................................................................... 3
Project members ................................................................................................................................................................................ 5
Section 2: ................................................................................................................................................................................................... 6
Aim and objectives ............................................................................................................................................................................. 6
Changes to original project plan ..................................................................................................................................................... 6
Methodology ........................................................................................................................................................................................ 7
Outputs and Results .......................................................................................................................................................................... 8
Communication & Application of results ................................................................................................................................... 12
Monitoring and Evaluation .............................................................................................................................................................. 13
Achievements and Impacts ............................................................................................................................................................. 13
Capacity Development and Leadership capabilities ................................................................................................................. 13
Section 3: ................................................................................................................................................................................................. 14
Conclusions ........................................................................................................................................................................................ 14
Problems encountered and lessons learnt ................................................................................................................................. 14
In the future ....................................................................................................................................................................................... 15
Financial Report ................................................................................................................................................................................ 16
Section 4: ................................................................................................................................................................................................. 17
Appendices ......................................................................................................................................................................................... 17
Bibliography ........................................................................................................................................................................................ 45
Address list and web links .............................................................................................................................................................. 45
Distribution list ................................................................................................................................................................................. 46
3
Section 1:
Summary The freshwater tucuxi and the Amazon River dolphin, also known as boto are both endemic to the Amazon-Orinoco river
basin. Data of the total population sizes of both species are currently unknown yet are critically needed. Threats to these
dolphins outside protected areas include habitat loss, fisheries interactions and exploitation for medicinal purposes. This project
aimed to disseminate information of both river dolphin species to the local community, quantify the population of dolphins in
the Yarina lagoon, Ucayali, Peru as well as making the results of this study readily available to government for management
plans. We administered questionnaires and conducted site survey work from August 2014-May 2015. A total of 35 fishermen
and 30 boat operators were interviewed. A total of 318 observation events of 554 Sotalia individuals, and 36 observation
events of 51 Inia individuals were recorded in boat-based transects. Results from transects as well as questionnaires were
presented to government institutions in an oral presentation as well as a printed executive summary. Team members hope
that results will be used in any future management plans related to Yarina lagoon.
Introduction Freshwater habitats are among the most threatened ecosystems of the world; as humans tend to settle and
populations grow around them (Kelkar et al. 2010; Revenga et al. 2005). Factors such as contamination, construction
of dams and fisheries pressures can negatively impact habitat quality and biodiversity (Revenga et al. 2005). Of river
dolphin species, the Ganges (Platanista gangetica) and Indus river dolphins (Platanista gangetica ssp. Minor) are both
listed as endangered by the IUCN and the Irrawaddy dolphin (Orcaella brevirostris) is considered vulnerable (Smith et
al. 2006; Braulik, Smith, and Chaudhry, n.d.; Reeves et al. 2011). The Baiji (Lipotes vexillifer) was endemic to the
Yangtze River and was declared functionally extinct in 2007 due to the high incidence of by-catch in fishing gear and
the industrialization of the Yangtze River ecosystem (Turvey et al. 2007; Turvey et al. 2010). The freshwater tucuxi
(Sotalia flluviatilis flluviatilis) (here after referred to as Sotalia) and the Amazon River dolphin, also known as boto (Inia
geoffrensis) (hereafter referred to as Inia) are both endemic to the Amazon-Orinoco river basin (Jefferson,
Leatherwood, and Webber 2008). The total population sizes of both species are currently unknown yet are critically
needed. As riverine species these dolphins are greatly affected by human disturbance (Turvey et al. 2007; Kelkar et
al. 2010) and are still listed as Data Deficient by the IUCN (Reeves et al. 2011). Baseline information from unstudied
areas is needed to help build effective management strategies.
Yarinacocha is an oxbow-shaped lagoon of approximately 17 km long, with a maximum depth of 25 and width of
200-800 m depending on rainfall. Yarinacocha lagoon is located 7 km from one of the biggest cities in the Peruvian
Amazon, Pucallpa. It serves as a river pass to the Ucayali River (one of the main arteries of communication for several
towns or cacerios spread along the Amazon). Communities along the Ucayali are highly dependent year-round on
this means of transport (e.g. people, timber, food, medicines), especially in the rainy season when roads are flooded.
This lagoon is also important as a tourist attraction that generates economic income for guides, restaurants and
hotels along Yarinacocha.
We worked with two associations in Yarinacocha that were key to the successful development of the project. The
Yarinacocha Tourist Boat Association and the Artisanal Fishermen of Yarinacocha Union. Both groups were essential
when carrying out workshops and interviewing the community, as well as introducing us to the boat captain that
worked with us when doing the transects.
The objectives of this project were to document dolphin population and distribution and to raise awareness of
dolphin conservation among local government, tour operators, fishermen, boats for transport and general users.
4
Figure 1 Distribution of transect routes in Yarinacocha lagoon, Ucayali, Peru. Map shows the location of all 17
transects. Numbers represent the end point of all routes, each 1 km long.
5
Project members Andrea Luna completed her Bachelor’s degree in 2013 at Ricardo
Palma University. Andrea has been working as a volunteer in
conservation non-governmental organizations for a total of ten
years, specifically in Pro Delphinus for the last four years. Presently
she continues to work in ProDelphinus (PD), she participates in
field activities of this and other projects. Andrea is very skilled with
accountability and the administrative aspect of project
implementation. She was responsible of trip and field activities
budget.
Andrea Pasara completed her BSc in Marine Biology in
December 2012, at the Scientific University of Lima, Peru. She
currently studies a short-term course titled Diploma in
Environmental Management at the Catholic University of Peru
(PUCP). Presently she continues to work in PD, she participates
in field activities of this and other projects. Andrea is interested
in social development, she participated in all field activities and
lead workshops with the tourist boat association and artisanal
fishermen. She also participated in the interviews to fishermen
and boat operators. Andrea is an avid photographer, most of the
pictures presented in this report were taken by her.
Elizabeth Campbell graduated in 2011 is a biologist from the
Universidad del Valle in Guatemala city, Guatemala and in 2014
graduated as an MSc in Biodiversity and Conservation at the
University of Exeter. Her MSc dissertation was partly on data
generated from this project. Currently she continues to work in
PD starting her fourth year, and participates in field activities of
this and other projects. She continues to work in the Ucayali
region with another river dolphin project.
Nicolas Acuña completed his BSc in December 2013 in Biology
from the Universidad Ricardo Palma, Lima, Peru. He was a field
assistant for the project and was in charge of recording, organizing
and entering data into database. He continues to work in PD, as
well as this project, he participates in a project focused on the
ecology of elasmobranchs in northern Peru.
6
Section 2:
Aim and objectives The immediate project aim was to develop baseline information on both river dolphin species and collect data on
potential threats. We also planned to raise awareness among local stakeholders about the species and their
conservation status, specifically those who interact more with both species, fishermen and boat operators.
Objectives:
1. Disseminate information on river dolphins to the local community, specifically to local boat operators and
fishermen.
2. Collect and analyze baseline information on the population status, density, and distribution of boto and tucuxi
dolphins in Yarinacocha Lagoon, Peru.
3. Make information needed for management plans available to local government stakeholders (e.g. population status,
density, distribution).
Changes to original project plan Yarina has fluctuating petrol prices which caused unexpected expenses for the team. Strikes would make obtaining
petrol difficult and were usually announced one day prior which made planning around them difficult. Team members
started buying petrol prior to their trip. Second, two of our field trips were during rainy season which limited the
amount of transects. We worked around this by starting transects earlier in the day as well as checking weather
prognostics before planning a trip. Some modifications were made to transect methodology. After discussing project
methods with Dr. Godley (University of Exeter) we divided the lagoon into 17 one-kilometer transects. By doing
this we avoided unintentional bias to surveying certain areas more frequently.
Team was successful at meeting with the boat-operators association and interviewing all that were originally planned
for. In contrast, we found that fishermen were disperse around the port and town, making it hard to find them.
When we found them, fishermen were hesitant to participate and were reluctant to share information on fish catch,
bycatch. We extended the time to administrate the questionnaires to two trips as well as more team members
during the port visits. We met with the
fishermen association directors who
helped us find the restaurants where
fishermen spent off-work time and
introduced us to them, which
increased fishers’ involvement in
project.
Figure Number 2 Regionally called Peque
Peques, these are the boats used to take
tourists on guides around the
Yarinacocha lagoon.
7
Methodology Disseminate information on river dolphins to the local community, specifically to local boat operators and fishermen.
Community outreach was accomplished through oral presentations, electronic and printed summaries of project
results, and printed educational materials. Workshops were organized with the help of the Yarinacocha Tourist Boat
Association and the Artisanal Fishermen of Yarinacocha Union. Questionnaires were given to participants at
workshops at causal meetings at the port. Information that was given in these questionnaires was important, by giving
us data about threats to these animals. The information from river transects was used to inform the community
how they can better co-exist with river dolphins. Information showed areas with high dolphin incidence.
Collect and analyze baseline information on the population status, density, and distribution of boto and tucuxi dolphins in
Yarinacocha Lagoon, Peru.
Yarinacocha lagoon has an oxbow shape, and is approximately 17 km long, depending upon the season. Width of the
lagoon also varies but can be up to 800 m wide. There are four seasons: High water level (Jan-March), falling water
level (April-June), low water level (July-Sept), and rising water level (October-December). During October-March,
the lagoon is connected to the Ucayali river, but line transects were conducted exclusively in the lagoon.
Surveys were conducted at least once per season. The study site was divided into 17 transects, each 1 km long
(Figure 1). Transects were run down the middle of the lagoon with an average 400 m on each side. Transects were
undertaken between 08:00 to-18:00. The 12 m research boat went at an average speed of 11 km.h-1. There were
2 observers for each transect, a data collector and the boat driver, all observations were done by naked –eye. . A
Global Positioning System (GPS) recorder provided information on location, date and time, vessel location, vessel
speed, and number of kilometres surveyed per transect. When dolphins were sighted species, position, group size,
and perpendicular distance from boat were recorded.
Density estimates were made by counting only observations that were within 100 m of perpendicular distance from
the boat on each side where detection probability for both species was 100%. Effective width for transects was 0.2
km and transect area for each 1km transect was 0.2 km-2-2. All spatial analyses and maps were prepared using ESRI
ArcMap 9.2, and Hawth’s Tools (Beyer 2004). Quartic Kernel and 50%, 75% and 90% probability contour analyses
were performed using 500 m grid spacing and a smoothing factor of 100 m for dolphin observation points.
Make information needed for management plans available to local government stakeholders (e.g. population status, density,
distribution).
Results from the project were given orally, and electronically to government institutions. Team members provided
information on methodology, results from then visual surveys and the questionnaires as well as recommendations
that could be implemented in species management plans.
8
Outputs and Results Disseminate information on river dolphins to the local community, specifically to local boat operators and fishermen.
Table Number 1. Summary of community outreach activities in Yarinacocha, Pucallpa.
Month Objective Target audience Attendance Location
August
2014
Give an overview on morphology and
physiology of river dolphins,
characteristics of each species, and
conservation status. Introduce
ourselves and the project’s aims and
expected results.
Fishermen from small-
scale fisheries 6
Office of
Artisanal
Fishermen of
Yarinacocha
Union
August
2014
Give an overview on morphology and
physiology of river dolphins,
characteristics of each species, and
conservation status. Introduce
ourselves and the project’s aims and
expected results.
Tourist-boat operators 38
Yarinacocha
Tourist Boat
Association
visiting center
May
2015
Increase awareness of threats faced by
endangered aquatic species. Presented
preliminary results of project. Invited
students to continue research on
aquatic mammals for projects,
dissertations, etc (See Fig.3).
Undergraduate
students majoring in:
Veterinarian, Tourism
and Environmental
science.
35
Univeristy Alas
Peruanas-
Pucallpa campus
June
2015
Increase awareness of aquatic
mammals that can be found close to
Pucallpa (Arapaima, river otters, river
dolphins, manatees) with games and
activities (See Fig.3).
Elementary school
children 20
School San Jose
de Pucallpa
June
2015
Presented results of project to a small
group of boat operators. Tourist-boat operators 6
Yarinacocha
Tourist Boat
Association
visiting center
Figure Number 3. Andrea Pasara with five volunteers and a group of children from the San Jose School, Pucallpa (left). Elizabeth
Campbell with attendees to presentation at University Alas Peruanas-Filial Pucallpa (Right).
9
During our trips in August, November, and January we administered questionnaires to 30 fishermen and 30 boat
operators (See Fig.4). The questionnaires had queries on characteristics of fisheries, interactions with dolphins,
other threats to these species and their overall impression or thoughts on the presence of dolphins in the lagoon.
Questionnaires show that close to 100% of fishermen and boat operators have seen dolphins in the lagoon and 100%
of the boat operators and 73% of the fishermen interviewed feel positive about their presence. By administrating
questionnaires we were also able to find what conservation threat has the most impact in Pucallpa. 46% of the
fishermen reported that they have used/seen the use of river dolphins as bait, 41% of the fishermen reported having
bycaught at least one individual in their lifetime.
Figure Number 4. Elizabeth Campbell (Left) and Andrea Luna (Right) administrating questionnaires to boat operators
and fishermen.
We also designed two leaflets, hat and a keychain (See Fig.5). A poster was designed with picture of a boto taken by
Kevin Schafer that has our slogan “De la selva, su encanto” (From the jungle, its enchantment). This was given out to
various institutions, students, volunteers, various local hotels and restaurants, the National Council for Science and
Technology (CONCYTEC) office in Lima and to all the attendees to our workshops.
Figure Number 5. Leaflets, hat and keychain that were designed and handed out to project participants (Left) Robert, our boat
captain, using the hat (Right)
10
Collect and analyze baseline information on the population status, density, and distribution of boto
and tucuxi dolphins in Yarinacocha Lagoon, Peru.
A total of 160 km doing trasects were covered during our trips in August, November, January and May (See Table
2, Figure 1 for transect routes). We estimated that the average density for Inia was 0.72 km-2 ± 0.8. Its overall
abundance was calculated at 12 individuals (95% CI: 12 to 13) (See Figure 6). Sotalia had an average density of 6.03
km-2 ± 3.1. Overall abundance was calculated at 102 individuals (95% CI: 101 to 104) (See Figure 2).
More observations of Sotalia were made during the morning (Figure 10), with most being seen at 10:00 (n=93,
SD=1.48, SE=0.13). Time with lowest observations was at 17:00 (n=10, SD=0.94, SE=0.18). Inia observations did
not see so much variance, time with most observations was at 13:00 (n=9, SD=0.53, SE=0.06) followed by 9:00 (n=8,
SD=0.37, SE=0.03). Time with lowest observations was at 16:00 (n=1, SD=0.17, SE=0.03). Table Number 2: Area,
Width, and Density estimations of each transect route for the Yarina lagoon, as well as the total area (km2) and
total density for both species. Some transects presented higher densities values (See Table N. 2 and Fig. 6)
Table Number 2. Area, Width, and Density estimations of each transect route for the Yarina lagoon, as well as the total area
(km2) and total density for both species.
Tra
nse
ct
Nu
mb
er
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Total
Are
a
(km
2)
0.63 0.58 0.67 0.75 0.78 0.7 0.82 0.84 0.79 0.58 0.48 0.49 0.52 0.53 0.76 0.7 0.55 11.17
Wid
th
(m)
667 589 667 776 793 900 889 942 780 601 453 479 523 613 734 679 504
So
talia
4.15 2.37 5.74 10.76 6.58 0.66 4.25 5.53 4.38 10.05 4.31 7.31 6.32 5.64 9.47 11.9 2.75 102.45
Inia
0 0.79 1.44 2.87 0.66 0.66 1.82 0 0 0.58 0.86 0 0.32 0.75 0 0.46 1.03 12.23
11
Figure Number 6 Map representing Kernel density estimations for Inia (left) and Sotalia (right) show areas with higher density
of individuals. High values are presented in red, with 0.7.
Make information needed for management plans available to local government stakeholders (e.g.
population status, density, distribution).
Team members organized two meetings with different ministries, national protected areas administrators,
municipalities, and regional government to present preliminary project results (See Fig. 7). We presented information
on distribution, density and abundance of both species in Yarinacocha to a total of 42 people. We communicated
results to local government, with recommendations on how this data can be used as a guide when preparing river
dolphin management plans. As a result of both meeting (May and early August), the following government institutions
have heard and have electronic copies of our executive summary: Ministry of Environment, Ministry of Production
(Fisheries) and their regional branch DIRESPRO-Ucayali, Direction of Tourism-Ucayali, and the Institute of Amazon
Investigation.
As a result of these two meetings a mailing list was created based on attendees. This list serves the purpose of
communicating important news to legislators that are interested in river dolphins. We also had three press releases
that covered the importance of river dolphins, and the need for a management plan for both species in a local
newspaper.
Preliminary results of this project were also presented at the 16th Aquatic Mammals of South America (SOLAMAC)
Congress in Cartagena, Colombia by two team members (See Fig 8). The oral presentation, which included
objectives, methodology, and preliminary results of the project, was heard by more than 100 people.
12
Figure Number 7 Workshop with government officials
Figure Number 8 Presenting our project at the 16th Aquatic Mammals of South America Congress in Cartagena,
Colombia.
Communication & Application of results Team members presented the results orally in two meetings with members of government institutions and non-
government organizations. In both meetings team members introduced the project, our methodology, and the
results. Local government institutions (Ucayali region) and national government (Peru) organizations were invited.
Team members also gave electronic versions of an executive summary. Recommendations have not been applied
formally yet, but were included when developing the management plan.
Management plan for both species for the Ucayali and Loreto region of Peru. Team members are involved in the
process of developing and publishing the management plan along with other institutions and government
organizations.
13
Monitoring and Evaluation Our means of verification to be sure that our project was effectively raising awareness were attendance from the
local community to workshops (more than 100 people), number of employees of government institutions to listen
and receive projects results (more than 40), number of government institutions to receive electronic copies of our
project (5), and number of institutions to continue working towards the conservation of river dolphins in Peru (3).
Achievements and Impacts The overall purpose of our project was to develop baseline information on abundance and density for both species
in the Yarinacocha lagoon and raise awareness on river dolphins among the local community.
Results on density and abundance
One of the biggest limitations on conserving river dolphin species is the lack of information. Our project assisted
this problem by estimating density, abundance and finding hotspots in the Yarina lagoon. When team members
presented the project and preliminary results to government officials, we were surprised to find that these results
will be the only official data they have on river dolphins in Ucayali. Until now, government has not had specific
research programs for these species. Our estimations may be used as baseline population information.
Raising awareness of river dolphins
We were also successful at identifying the relationship between sectors of the local community with the river dolphin
population. By administrating questionnaires we found fishermen and boat operators have a close relationship with
river dolphins, 100% of the boat operators and 73% of the fishermen interviewed feel positive about their presence.
By administrating questionnaires we were also able to find what conservation threat has the most impact in Pucallpa.
46% of the fishermen reported that they have used/seen the use of river dolphins as bait, 41% of the fishermen
reported having bycaught at least one individual in their lifetime. National management plans will use this information
to prioritize actions to mitigate both direct and indirect take of river dolphins.
Team members also rose awareness with boat operators, fishermen, and other members of the local community by
organizing workshops. A total of 105 members of the community attended one of the presentations, or workshops
organized by the team. They learned about basic biology of both species, and the threats that are present in the
lagoon. They left with project souvenirs to take home, and hopefully shared the information at home with family
members.
Government stakeholders have results
42 government officials working in different regional and national government organizations listened to the results
of our project. Most of the attendees did not know of our work before these meetings and had limited information
on river dolphins as well. Presentations included results and recommendations on how to apply the data to better
regulations and law in Yarinacocha lagoon. We will maintain contact with them through an e-mail list server we
created where we will continue sharing information on aquatic mammal species conservation initiatives.
Capacity Development and Leadership capabilities Being involved from the planning to the implementation and finally the closing of the project comes with work and
has different challenges with each phase. Although our project was executed smoothly, we felt we were challenged
in some areas. For example, our leadership skills grew in the field when fulfilling community outreach aspects of our
14
project. It was easy to speak to certain groups such as the boat operators and children but when we had to look for
fishermen most of them were resistant to speak with us. This was also true to the workshops with government
officials. None of the attendees were resistant, but were older and had more experience than us. These activities
pushed us to improve our leadership abilities. During our field work, and especially during the environmental
education phase, we have established a better working relationship with local authorities and communities. All of us
were involved in visual surveys which involved learning observation skills, as well as being organized with recording
and entry of data.
Section 3:
Conclusions Yarinacocha is a lagoon that is exposed to many threats; human population is growing which brings more
contamination and noise pollution to dolphin habitat. Community outreach involved five workshops with tourist-
boat oeprators, fishermen, children from Pucallpa and undergraduate students. In total 105 people attended one of
our presentations. We were also successful at interviewing 30 fishermen and 30 boat operators. A total of 160 km
doing trasects were covered during our trips in August, November, January and May. With river dolphins there is
still much to do. The creation of a management plan for both species is essential for its conservation in this region.
Also, an estimate of total population of either species is still unknown. River dolphins could be used as umbrella
species and protect what is left of Yarinacocha’s biodiversity.
Problems encountered and lessons learnt This study was successful at carrying out a relative abundance and density estimation for Inia and Sotalia species in
Yarinacocha lagoon, Peru. We surveyed both dolphin populations across all four seasons and begun to determine
possible factors that might affect their distribution.
This project had some limitations. Firstly, the effective transect strip-width was a lot less than expected. As
observers went down the middle of the lagoon, only dolphins in the middle were detected 100% of the time. This
could mean that the team missed seeing dolphins close to river banks and in the flooded forest, limiting our sample
size. Furthermore, observation bias could also account for more observations during low water. When the lagoon
is at a lower level, individuals are easier to detect as they are concentrated along the middle of the lagoon, possibly
because these are areas where the water is deepest. Secondly, both species have shown a preference for areas close
to shore (Gómez-Salazar, Trujillo & Whitehead 2012; Vidal et al. 1997; Martin & da Silva 2004b). River dolphin
group sizes have been found to be larger in lakes and rivers, but densities are higher around river islands, tributaries
and river banks (Aliaga-Rossel 2002). In the social aspect of the project, recruiting people to attend workshops was
difficult, more so in the case of fishermen. Team members consider that attendance could have improved if we had
a local contact that begun to invite fishermen and other members of the community to the workshops prior to our
arrival. Training a student to be the local volunteer would have increased interest in the project among the students
as well as helping the sustainability of the project.
Information on the distribution and habitat use by Inia and Sotalia is limited, particularly in some regions of central
Peru. Most studies have focused on protected areas, closer to the Amazon River in northern Peru (Gómez-Salazar,
Trujillo, Portocarrero-Aya, et al. 2012; Gómez-Salazar 2010; Mcguire et al. 2014). Specifically for this lagoon, we
distinguished areas and hours of peak activity that could be avoided by boat operators and fishing activities. We
15
recommend further efforts to monitor individuals, this could be acoustically or visual by expanding survey sites to
other areas of the Ucayali River. To aid in both species conservation it is important to continue with population
studies to generate baseline information for this and other areas of the Ucayali. This is particularly important given
that the Amazon will become more vulnerable to human stressors that are only expected to increase. Finally, results
from this study will be used in region-specific management plans as well as both species baseline information for
environmental impact assessments.
In the future With river dolphins there is still much to do. Although funding for this project is finished, team members will continue
to look for grants to expand river dolphin research to other areas of Ucayali. A photo-identification catalogue would
be excellent to see if dolphins are residents of lagoon, or if they move around. The initial analysis of questionnaire
results helped team members identify areas of high river dolphin abundance, such as Imiria Natural Reserve, and
Chauya as well as prioritize conservation threats such as dolphins being used as bait, and bycatch. Future projects
could focus on mitigating these problem as well as educating local community on the importance of these species.
Also, we could recreate this study to estimate abundance and density in the hotspots most frequently mentioned in
the questionnaire results. Few areas of the Ucayali region have been surveyed, other projects could focus on
estimating abundance and density in unexplored areas. Future steps also include completing the species management
plan that would focus future investigation and conservation efforts in all of the Peruvian amazon region.
16
Financial Report
Itemized expenses Total CLP
Requested (USD)*
Total CLP Spent (USD)
% Difference Details & Justification
(Justification must be provided if figure in column D is +/- 25%)
PHASE I - PROJECT PREPARATION
Communications (telephone/internet/postage) 936.00 916.23 -2%
Field guide books, maps, journal articles and other printed materials
170.00 174.87 3%
Insurance 50.00 52.69 5%
Visas and permits 1,256.00 1201.33 -4%
Team training 730.00 806.42 10%
Reconnaissance
Other (Phase 1) 630.00 681.01 8%
EQUIPMENT
Scientific/field equipment and supplies 987.00 1043.99 6%
Photographic equipment 280.00 324.16 16%
Camping equipment 35.00 35.70 2%
Boat/engine/truck (including car hire) 2,730.00 2515.23 -8%
Other (Equipment) 333.00 333.01 0%
PHASE II - IMPLEMENTATION Accommodation for team members and local guides
960.00 883.15 -8%
Food for team members and local guides 1,600.00 1732.52 8%
Travel and local transportation (including fuel) 2,275.00 2843.13 25%
Customs and/or port duties
Workshops 180 182.80 2% Outreach/Education activities and materials (brochures, posters, video, t-shirts, etc.)
630.00 713.26 13%
Other (Phase 2) 117.00 106.28 -9%
PHASE III - POST-PROJECT EXPENSES
Administration Report production and results dissemination
300.00 25.48 -92%
Executive summary of our results was sent electronically, this money was used for final workshops.
Other (Phase 3) 459.00
86.74 -81% We used this money for items that were more expensive than expected (outreach activities, photographic equipment)
Total 14,658.00 14,658.00
17
Section 4:
Appendices
Figure Number 9. Press notes in regional newspapers from the Amazon region. Both documents talk about the need of
management plan for river dolphins.
Output Number Additional Information
Number of CLP Partner Staff involved in mentoring
the Project 0
Number of species assessments contributed to (E.g.
IUCN assessments) 2
Number of site assessments contributed to (E.g.
IBA assessments) 0
Number of NGOs established 0
18
Amount of extra funding leveraged ($) $12700
Because of this project, we
can continue the project with
funding from WWF-Peru.
Number of species discovered/rediscovered 0
Number of sites designated as important for
biodiversity (e.g. IBA/Ramsar designation) 0
Number of species/sites legally protected for
biodiversity 0
Number of stakeholders actively engaged in
species/site conservation management 3
Three organizations are
developing the management
plan for these three species.
Number of species/site management
plans/strategies developed 1 1 management plan.
Number of stakeholders reached 42
Attended both of our
workshops.
Examples of stakeholder behaviour change brought
about by the project.
3
The management plan for
these species has been under
development for the past
couple of years, mid-2015
three government institutions
have begun the process again
hoping the management plan
is out by mid-2016.
Examples of policy change brought about by the
project
0
The information generated
has been included in the
development of the
management plan.
Number of jobs created 0
Number of academic papers published 0
Number of conferences where project results have
been presented 1 SOLAMAC 2014
Appendix 4.1 CLP M&E measures
19
Table Number 3 Dolphin sighting data.
record line Day Month Year Observer Count_Time Sotalia_Count Inia_Count Unknown_Count Latitude Longitude Dist_from_boat
1 1 12 August 2014 ECF, APP 15:36 1 0 0 8.34508 74.58669 50
2 2 12 August 2014 ECF, APP 15:39 5 0 0 8.34287 74.58898 20
3 3 12 August 2014 ECF, APP 15:41 1 0 0 8.34026 74.59101 50
4 4 12 August 2014 ECF, APP 15:54 0 1 0 8.31854 74.5981 100
5 5 12 August 2014 ECF, APP 15:59 0 1 0 8.31089 74.60077 100
6 6 12 August 2014 ECF, APP 16:21 0 1 0 8.28255 74.61835 100
7 1 12 August 2014 ECF, ASP 17:20 0 1 0 8.27667 74.62375 50
8 1 13 August 2014 ECF, ASP 9:36 0 3 0 8.34465 74.57188 70
9 2 13 August 2014 ECF, ASP 9:54 1 0 0 8.33136 74.59404 20
10 3 13 August 2014 ECF, ASP 10:02 1 0 0 8.3189 74.59674 80
11 4 13 August 2014 ECF, ASP 10:06 2 0 0 8.31178 74.59926 35
12 1 13 August 2014 ECF, ASP 11:30 1 0 0 8.281780 74.618900 50
13 2 13 August 2014 ECF, ASP 11:31 2 0 0 8.283220 74.617600 10
14 3 13 August 2014 ECF, ASP 11:31 2 0 0 8.284130 74.616650 120
15 4 13 August 2014 ECF, ASP 11:39 0 1 0 8.293610 74.608250 40
16 5 13 August 2014 ECF, ASP 11:40 2 0 0 8.305173 74.601150 35
17 1 13 August 2014 ECF, APP 13:27 1 0 0 8.347390 74.574520 120
18 2 13 August 2014 ECF, APP 13:57 0 1 0 8.311050 74.601480 60
19 3 13 August 2014 ECF, APP 14:11 1 0 0 8.293050 74.611630 50
20 1 13 August 2014 ECF, APP 15:21 1 0 0 8.283090 74.616710 60
21 2 13 August 2014 ECF, APP 15:38 1 0 0 8.305770 74.600700 50
22 3 13 August 2014 ECF, APP 15:51 1 0 0 8.328880 74.593200 70
23 4 13 August 2014 ECF, APP 15:55 1 0 0 8.335870 74.591420 150
24 1 14 August 2014 APP, ASP 8:47 0 0 1 8.350640 74.574820 120
25 2 14 August 2014 APP, ASP 8:48 2 0 0 8.349640 74.573150 70
20
26 3 14 August 2014 APP, ASP 8:55 0 1 0 8.340220 74.568040 30
27 1 14 August 2014 APP, ASP
28 1 14 August 2014 ECF, ASP 12:24 0 1 0 8.280020 74.607540 30
29 2 14 August 2014 ECF, ASP 12:30 0 0 1 8.286220 74.611440 100
30 1 14 August 2014 ECF, APP 14:41 1 0 0 8.331220 74.593160 50
31 2 14 August 2014 ECF, APP 14:42 2 0 0 8.333122 74.593160 70
32 3 14 August 2014 ECF, APP 14:44 1 0 0 8.328510 74.594470 50
33 4 14 August 2014 ECF, APP 15:03 1 0 0 8.298790 74.608070 100
34 1 14 August 2014 APP, ASP 16:19 0 1 0 8.268090 74.632310 200
35 2 14 August 2014 APP, ASP 16:31 1 0 0 8.284700 74.615200 60
36 1 15 August 2014 ECF, APP 8:26 3 0 0 8.349080 74.573300 70
37 2 15 August 2014 ECF, APP 8:38 0 1 0 8.325920 74.569600 100
38 1 15 August 2014 APP, ASP 9:47 2 0 0 8.347996 74.581110 70
39 2 15 August 2014 APP, ASP 9:55 1 0 0 8.340339 74.590693 160
40 3 15 August 2014 APP, ASP 9:59 2 0 0 8.334649 74.593676 15
41 4 15 August 2014 APP, ASP 10:00 2 1 0 8.332171 74.594208
42 5 15 August 2014 APP, ASP 10:01 4 0 0 8.329022 74.594839 60
43 1 15 August 2014 ECF, ASP 11:47 3 0 0 8.343072 74.586898 100
44 2 15 August 2014 ECF, ASP 11:52 1 0 0 8.349690 74.583383 70
45 1 3 November 2014 ECF, ALD 14:38 1 0 0 8.343660 74.586200 20
46 2 3 November 2014 ECF, ALD 14:51 1 0 0 8.330170 74.599400 150
47 3 3 November 2014 ECF, ALD 14:57 1 0 0 8.321240 74.597790 105
48 4 3 November 2014 ECF, ALD 15:01 0 1 0 8.314710 74.600400 30
49 1 3 November 2014 ECF, ALD 4:14 2 0 0 8.266240 74.633400 160
50 2 3 November 2014 ECF, ALD 5:03 0 1 0 8.340350 74.590950 50
51 3 3 November 2014 ECF, ALD 5:08 2 0 0 8.346520 74.585000 80
52 4 3 November 2014 ECF, ALD 5:11 1 0 0 8.347750 74.582500 30
53 1 3 November 2014 ECF,ALD
54 1 4 November 2014 ECF,ALD 9:00 1 0 0 8.348430 74.580650 40
55 2 4 November 2014 ECF,ALD 9:02 2 0 0 8.346820 74.983620 20
21
56 3 4 November 2014 ECF,ALD 9:02 1 0 0 8.346220 74.584560 50
57 4 4 November 2014 ECF,ALD 9:44 0 1 0 8.289590 74.289590 30
58 5 4 November 2014 ECF,ALD 10:04 1 0 0 8.266530 74.634030 280
59 1 4 November 2014 ECF,ALD,R 11:20 1 0 0 8.291250 74.610340 100
60 2 4 November 2014 ECF,ALD,R 11:48 1 0 0 8.329380 74.594330 60
61 3 4 November 2014 ECF,ALD,R 12:01 4 0 0 8.347100 74.582500 60
62 1 4 November 2014 ALD,ECF 1:41 0 1 0 8.347540 74.587400 10
63 2 4 November 2014 ALD,ECF 2:03 1 0 0 8.333300 74.593400 10
64 3 4 November 2014 ALD,ECF 1:52 0 1 0 8.317050 74.598390 85
65 4 4 November 2014 ALD,ECF 2:25 0 1 0 8.277070 74.624970 120
66 5 4 November 2014 ALD,ECF 2:29 0 1 0 8.273700 74.746307 20
67 6 4 November 2014 ALD,ECF 2:31 2 0 0 8.270270 74.630710 156
68 1 4 November 2014 ALD,ECF 15:48 2 0 0 8.325760 74.595460
69 1 5 November 2014 ALD,ECF 10:51 1 0 0 8.347020 74.583340 40
70 2 5 November 2014 ALD,ECF 10:53 1 0 0 8.345730 74.585540 30
71 3 5 November 2014 ALD,ECF 11:03 0 1 0 8.331970 74.593640 120
72 4 5 November 2014 ALD,ECF 11:20 0 1 0 8.306640 74.606400 50
73 5 5 November 2014 ALD,ECF 11:50 1 0 0 8.364177 74.636017 40
74 6 5 November 2014 ALD,ECF 11:53 1 0 0 8.264177 74.636017 145
75 1 5 November 2014 ALD,ECF 12:35 3 0 0 8.270631 74.626967 15-20
76 1 5 November 2014 ALD,ECF 12:40 1 0 0 8.270631 74.629669 30
77 2 5 November 2014 ALD,ECF 12:49 2 0 0 8.282072 74.618225 50
78 3 5 November 2014 ALD,ECF 1:25 1 0 0 8.343700 74.585472 130
79 4 5 November 2014 ALD,ECF 1:26 1 0 0 8.345581 74.583122 150
80 1 5 November 2014 ALD,SCF 2:19 1 0 0 8.340630 74.570236 100
81 1 6 November 2014 ECF,ALD 9:56 3 0 0 120
82 2 6 November 2014 ECF,ALD 9:56 1 0 0 100
83 3 6 November 2014 ECF,ALD 9:56 2 0 0 50
84 4 6 November 2014 ECF,ALD 9:56 2 0 0
85 1 6 November 2014 ECF,ALD 11:27 2 0 0 20
22
86 2 6 November 2014 ECF,ALD 11:50 1 0 0
87 3 6 November 2014 ECF,ALD 12:03 1 0 0 270
88 4 6 November 2014 ECF,ALD 12:18 0 1 0 180
89 5 6 November 2014 ECF,ALD 12:18 0 1 0 20
90 1 6 November 2014 ECF,ALD 1:53 2 0 0 40
91 2 6 November 2014 ECF,ALD 2:01 1 0 0 60
92 3 6 November 2014 ECF,ALD 2:02 1 0 0 220
93 1 6 November 2014 ECF,ALD 4:21 1 0 0 25
94 2 6 November 2014 ECF,ALD 4:26 1 0 0 65
95 3 6 November 2014 ECF,ALD 4:30 4 0 0 80
96 4 6 November 2014 ECF,ALD 4:35 1 0 0 30
97 1 7 November 2014 ECF,ALD 8:32 1 0 0 350
98 2 7 November 2014 ECF,ALD 8:33 1 0 0 20
99 3 7 November 2014 ECF,ALD 8:39 1 0 0 70
100 4 7 November 2014 ECF,ALD 8:41 2 0 0 50
101 5 7 November 2014 ECF,ALD 8:45 2 0 0 10
102 1 7 November 2014 SCF,ALD 10:01 0 1 0 30
103 2 7 November 2014 SCF,ALD 10:30 3 0 0 70
104 3 7 November 2014 SCF,ALD 10:48 1 0 0 20
105 4 7 November 2014 SCF,ALD 10:55 2 0 0 40
106 5 7 November 2014 SCF,ALD 10:58 1 0 0 120
107 5 7 November 2014 SCF,ALD 9:20 0 1 0 70
108 1 19 January 2015 ECF, COA 4:24 1 0 0 8.346990 74.575900 55
109 2 19 January 2015 ECF, COA 4:30 1 0 0 8.345800 74.585210 72
110 1 19 January 2015 APP, EZ
111 1 20 January 2015 ECF, SF 9:39 1 0 0 8.301220 74.600630 56
112 2 20 January 2015 ECF, SF 9:52 2 0 0 8.281220 74.621000 73
113 3 20 January 2015 ECF, SF 9:53 1 0 0 8.280410 74.621710 105
114 4 20 January 2015 ECF, SF 9:55 1 0 0 8.278010 74.623870 340
115 1 20 January 2015 COA, EZ 10:56 1 0 0 8.281290 74.620260 100
23
116 2 20 January 2015 COA, EZ 11:13 1 0 0 8.306000 74.604115 300
117 3 20 January 2015 COA, EZ 11:30 1 0 0 8.331890 74.593410 250
118 4 20 January 2015 COA, EZ 11:37 2 0 0 8.342773 74.587030 70
119 5 20 January 2015 COA, EZ 11:44 1 0 0 8.348070 74.777800 100
120 6 20 January 2015 COA, EZ 12:02 1 0 0 8.317940 74.571050 250
121 1 20 January 2015 EC, SF 2:12 1 0 0 8.295460 74.707440 110
122 2 20 January 2015 EC, SF 2:22 1 0 0 8.279700 74.621840 60
123 3 20 January 2015 EC, SF 2:22 1 0 0 8.279510 74.662060 120
124 4 20 January 2015 EC, SF 2:26 1 0 0 8.274540 74.620500 90
125 1 20 January 2015 APP,CO 3:20 1 0 0 8.288210 74.614290 50
126 2 20 January 2015 APP, CO 3:28 1 0 0 8.301380 74.605080 40
127 3 20 January 2015 APP, CO 3:35 2 0 0 8.315820 74.598480 200
128 1 21 January 2015 APP, SF 8:38 1 0 0 8.347950 74.572950 300
129 2 21 January 2015 APP, SF 8:50 3 0 0 8.324900 74.569410 80
130 1 21 January 2015 ECF, EZ 9:25 3 0 0 8.329760 74.567100 240
131 2 21 January 2015 ECF, EZ 9:45 1 0 0 8.343280 74.587820 35
132 3 21 January 2015 ECF, EZ 10:06 2 0 0 8.305340 74.605180 90
133 1 21 January 2015 COA, EZ 10:15 5 0 0 8.291450 74.612600 60
134 1 21 January 2015 COA, EZ 11:41 1 0 0 8.272020 74.627760 200
135 2 21 January 2015 COA, EZ 12:25 1 0 0 8.323250 74.593810 150
136 3 21 January 2015 COA, EZ 12:39 1 0 0 8.347330 74.579710 50
137 4 21 January 2015 COA, EZ 12:43 1 0 0 8.345180 74.573160 100
138 5 21 January 2015 COA, EZ 12:50 1 0 0 8.335210 74.568700 80
139 6 21 January 2015 COA, EZ 12:52 2 0 0 8.333160 74.568670 100
140 1 21 January 2015 APP, SF 13:25 1 0 0 8.318600 74.568980 120
141 2 21 January 2015 APP, SF 13:27 2 0 0 8.321070 74.568270 70
142 3 21 January 2015 APP, SF 13:36 1 0 0 8.336180 74.566250 40
143 4 21 January 2015 APP, SF 13:48 1 0 0 8.349760 74.577610 30
144 5 21 January 2015 APP, SF 13:50 1 0 0 8.349120 74.580520 170
145 1 22 January 2015 APP, COA 9:25 1 0 0 8.340590 74.590630 70
24
146 2 22 January 2015 APP, COA 9:57 1 0 0 8.290190 74.614800 80
147 3 22 January 2015 APP, COA 10:02 1 0 0 8.282950 74.620650 90
148 4 22 January 2015 APP, COA 10:11 1 0 0 8.271620 74.630210 100
149 1 22 January 2015 SF, EZ 11:03 1 0 0 8.282011 74.618370 100
150 2 22 January 2015 SF, EZ 11:10 1 0 0 8.290040 74.611470 200
151 3 22 January 2015 SF, EZ 12:03 4 0 0 8.315990 74.570440 150
152 1 22 January 2015 ECF, COA 12:46 1 0 0 8.315220 74.568940 80
153 2 22 January 2015 ECF, COA 12:59 1 0 0 8.335230 74.566340 47
154 1 22 January 2015 APP,SF 14:07 2 0 0 8.299420 74.606460 90
155 2 22 January 2015 APP,SF 14:17 1 0 0 8.285510 74.617480 50
156 3 22 January 2015 APP,SF 14:37 3 0 0 8.257500 74.638320 N/A
157 1 22 January 2015 ECF, EZ 15:16 1 0 0 8.275190 74.624700 70
158 2 22 January 2015 ECF, EZ 16:02 2 0 0 8.341380 74.580200 160
159 3 22 January 2015 ECF, EZ 16:06 1 0 0 8.347070 74.580680 80
160 4 22 January 2015 ECF, EZ 16:08 2 0 0 8.347620 74.578670 60
161 5 22 January 2015 ECF, EZ 16:20 1 0 0 8.328200 74.560950 120
162 2 9 May 2015 ECF, NP 11:26 1 0 0 -8.337640 -74.569600 180
163 1 9 May 2015 ECF, NP
9:18 0 1 0 -8.328890 -74.570420 40
164 2 9 May 2015 ECF, NP
9:24 0 1 0 -8.326400 -74.569150 50
165 1 9 May 2015 ECF, NP
9:56 2 0 0 -8.340890 -74.570400 150
166 2 9 May 2015 ECF, NP
9:58 3 0 0 -8.341840 -74.570920 170
167 3 9 May 2015 ECF, NP
9:59 1 0 0 -8.343920 -74.572490 320
168 1 9 May 2015 ECF, NP
0 0 0 0.000000 0.000000
169 1 9 May 2015 ECF, NP
11:12 0 1 0 -8.299300 -74.607310 210
170 2 9 May 2015 ECF, NP
11:16 1 0 0 -8.294470 -74.610390 130
25
171 3 9 May 2015 ECF, NP
11:20 2 0 0 -8.290110 -74.613780 210
172 4 9 May 2015 ECF, NP
11:42 2 0 0 -8.265220 -74.635090 110
173 1 9 May 2015 ECF, NP
12:40 5 0 0 -8.211150 -74.622640 40
174 1 9 May 2015 ECF, NP
NA 2 0 0 -8.300200 -74.603680 70
175 2 9 May 2015 ECF, NP
NA 3 0 0 -8.300440 -74.603520 100
176 1 9 May 2015 ECF, NP
NA 2 0 0 -8.342420 -74.571150 10
177 1 9 May 2015 ECF, NP
NA 0 1 0 -8.333560 -74.569110 20
178 1 9 May 2015 ECF, NP
NA 2 0 0 -8.324780 -74.595150 150
179 1 10 May 2015 ECF, NP
NA 0 0 1 -8.331740 -74.592350 100
180 1 10 May 2015 ECF, NP
NA 1 0 0 -8.310500 -74.571050 60
181 1 10 May 2015 ECF, NP
0 0 0 0.000000 0.000000
182 1 10 May 2015 ECF, NP
11:19 5 0 0 -8.341920 -74.569930 90
183 2 10 May 2015 ECF, NP
11:20 2 0 0 -8.342500 -74.570010 140
184 3 10 May 2015 ECF, NP
11:24 2 0 0 -8.347460 -74.575460 130
185 1 10 May 2015 ECF, NP
11:32 2 0 0 -8.344595 -74.583530 40
186 1 10 May 2015 ECF, NP
0 0 0 0.000000 0.000000
187 1 10 May 2015 ECF, NP
13:05 2 0 0 -8.276680 -74.625800 130
188 2 10 May 2015 ECF, NP
13:05 0 1 0 -8.276680 -74.625800 140
189 3 10 May 2015 ECF, NP
13:17 2 0 0 -8.262100 -74.637410 40
26
190 1 10 May 2015 ECF, NP
14:22 1 0 0 -8.294700 -74.609030 40
191 2 10 May 2015 ECF, NP
14:23 1 0 0 -8.296010 -74.608100 30
192 1 10 May 2015 ECF, NP
0 0 0 0.000000 0.000000
193 1 11 May 2015 ECF, NP
0 0 0 0.000000 0.000000
194 1 11 May 2015 ECF, NP
9:06 1 0 0 -8.329880 -74.594380 100
195 2 11 May 2015 ECF, NP
9:13 1 0 0 -8.319400 -74.597270 80
196 1 11 May 2015 ECF, NP
9:53 2 0 0 -8.297730 -74.607700 120
197 2 11 May 2015 ECF, NP
10:00 3 0 0 -8.287520 -74.614760 210
198 3 11 May 2015 ECF, NP
10:11 1 0 0 -8.274410 -74.626720 140
199 4 11 May 2015 ECF, NP
10:14 1 0 0 -8.271670 -74.630360 80
200 5 11 May 2015 ECF, NP
10:21 4 0 0 -8.261630 -74.637320 60
201 1 11 May 2015 ECF, NP
10:49 1 0 0 -8.259990 -74.638190 50
202 2 11 May 2015 ECF, NP
10:49 1 0 0 -8.259990 -74.638130 80
203 1 11 May 2015 ECF, NP
11:14 1 0 0 -8.278760 -74.621680 60
204 2 11 May 2015 ECF, NP
11:25 1 0 0 -8.289690 -74.612670 80
205 3 11 May 2015 ECF, NP
11:32 3 0 0 -8.298610 -74.606580 370
206 4 11 May 2015 ECF, NP
11:36 1 0 0 -8.304140 -74.603560 40
207 1 11 May 2015 ECF, NP
0 0 0 0.000000 0.000000
208 1 11 May 2015 ECF, NP
12:41 0 1 0 -8.316500 -74.571070 40
27
209 1 11 May 2015 ECF, NP
0 0 0 0.000000 0.000000
210 1 11 May 2015 ECF, NP
14:27 0 0 0 -8.340220 -74.589250 60
211 1 11 May 2015 ECF, NP
0 0 0 0.000000 0.000000
Table Number 4. Environmental conditions of transects.
record
line D M Y
Cloud
BF
Glare
Rain
Temp Start
Depth Start
Temp Finish
Depth Finish
Count Start
Count Finish
Start Lat
Start Lon End Lat End Lon
1 1 12
8 201
4 40 1 20 0 33.5 1.1 32 1.5 15:07 16:40
8.31819
74.57133
8.2577 74.639
81
2 2 12
8 2014
40 1 20 0 33.5 1.1 32 1.5 15:07 16:40 8.3181
9 74.571
33 8.2577
74.63981
3 3 12
8 2014
40 1 20 0 33.5 1.1 32 1.5 15:07 16:40 8.3181
9 74.571
33 8.2577
74.63981
4 4 12
8 2014
40 1 20 0 33.5 1.1 32 1.5 15:07 16:40 8.3181
9 74.571
33 8.2577
74.63981
5 5 12
8 2014
40 1 20 0 33.5 1.1 32 1.5 15:07 16:40 8.3181
9 74.571
33 8.2577
74.63981
6 6 12
8 2014
40 1 20 0 33.5 1.1 32 1.5 15:07 16:40 8.3181
9 74.571
33 8.2577
74.63981
7 1 12
8 2014
10 1 30 0 34 1 31.5 5.3 17:01 17:46 8.2570
2 74.640
43 8.3146
4 74.597
19
8 1 13
8 2014
70 1 0 0 29 0.9 28 2.9 9:18 10:46 8.3178
2 74.571
12 8.2601
6 74.639
82
9 2 13
8 2014
70 1 0 0 29 0.9 28 2.9 9:18 10:46 8.3178
2 74.571
12 8.2601
6 74.639
82
10 3 13
8 2014
70 1 0 0 29 0.9 28 2.9 9:18 10:46 8.3178
2 74.571
12 8.2601
6 74.639
82
28
11 4 13
8 2014
70 1 0 0 29 0.9 28 2.9 9:18 10:46 8.3178
2 74.571
12 8.2601
6 74.639
82
12 1 13
8 2014
80 1 0 0 28 3 30 0.9 11:09 12:39
8.25901
74.6398
8.3184 74.570
59
13 2 13
8 2014
80 1 0 0 28 3 30 0.9 11:09 12:39
8.25901
74.6398
8.3184 74.570
59
14 3 13
8 2014
80 1 0 0 28 3 30 0.9 11:09 12:39
8.25901
74.6398
8.3184 74.570
59
15 4 13
8 2014
80 1 0 0 28 3 30 0.9 11:09 12:39
8.25901
74.6398
8.3184 74.570
59
16 5 13
8 2014
80 1 0 0 28 3 30 0.9 11:09 12:39
8.25901
74.6398
8.3184 74.570
59
17 1 13
8 2014
50 1 50 0 31 0.9 29.5 0.9 13:08 14:40
8.3203 74.569
81 8.2579
2 74.640
82
18 2 13
8 2014
50 1 50 0 31 0.9 29.5 0.9 13:08 14:40
8.3203 74.569
81 8.2579
2 74.640
82
19 3 13
8 2014
50 1 50 0 31 0.9 29.5 0.9 13:08 14:40
8.3203 74.569
81 8.2579
2 74.640
82
20 1 13
8 2014
30 1 30 0 29 3.7 30.5 11 15:02 16:06
8.25994
74.63972
8.34934
74.57643
21 2 13
8 2014 30 1 30 0 29 3.7 30.5 11 15:02 16:06
8.25994
74.63972
8.34934
74.57643
22 3 13
8 2014 30 1 30 0 29 3.7 30.5 11 15:02 16:06
8.25994
74.63972
8.34934
74.57643
23 4 13
8 2014 30 1 30 0 29 3.7 30.5 11 15:02 16:06
8.25994
74.63972
8.34934
74.57643
24 1 14
8 2014 20 0 20 0 29 0.9 28 0.8 8:45 9:08
8.35122
74.57558
8.31841
74.57111
25 2 14
8 2014 20 0 20 0 29 0.9 28 0.8 8:45 9:08
8.35122
74.57558
8.31841
74.57111
26 3 14
8 2014 20 0 20 0 29 0.9 28 0.8 8:45 9:08
8.35122
74.57558
8.31841
74.57111
27 1 14
8 2014 95 1 0 1 27.5 1.3 28 1.1 9:53 11:16
8.33101
74.57004
8.25825
74.64079
28 1 14
8 2014 80 2 0 1 24 4.3 26.5 0.9 12:10 13:41
8.27015
74.63151
8.31866
74.57101
29
29 2 14
8 2014 80 2 0 1 24 4.3 26.5 0.9 12:10 13:41
8.27015
74.63151
8.31866
74.57101
30 1 14
8 2014 70 1 30 0 26.5 0.8 27 0.8 14:04 15:34
8.31789
74.57134
8.25802
74.64082
31 2 14
8 2014 70 1 30 0 26.5 0.8 27 0.8 14:04 15:34
8.31789
74.57134
8.25802
74.64082
32 3 14
8 2014 70 1 30 0 26.5 0.8 27 0.8 14:04 15:34
8.31789
74.57134
8.25802
74.64082
33 4 14
8 2014 70 1 30 0 26.5 0.8 27 0.8 14:04 15:34
8.31789
74.57134
8.25802
74.64082
34 1 14
8 2014 20 1 30 0 28 0.8 26 4.1 16:07 16:51
8.25803
74.64037
8.31412
74.59736
35 2 14
8 2014 20 1 30 0 28 0.8 26 4.1 16:07 16:51
8.25803
74.64037
8.31412
74.59736
36 1 15
8 2014 10 1 20 0 26 1.5 26 1.3 8:22 8:45
8.35122
74.57556
8.31901
74.57063
37 2 15
8 2014 10 1 20 0 26 1.5 26 1.3 8:22 8:45
8.31901
74.57063
8.31901
74.57063
38 1 15
8 2014 60 0 60 0 26 0.9 28 4.4 9:29 10:38
8.33128
74.57005
8.272496
74.62852
39 2 15
8 2014 5 0 60 0 26 0.9 28 4.4 9:29 10:38
8.33128
74.57005
8.272496
74.62852
40 3 15
8 2014 5 0 60 0 26 0.9 28 4.4 9:29 10:38
8.33128
74.57005
8.272496
74.62852
41 4 15
8 2014 5 0 60 0 26 0.9 28 4.4 9:29 10:38
8.33128
74.57005
8.272496
74.62852
42 5 15
8 2014 5 0 60 0 26 0.9 28 4.4 9:29 10:38
8.33128
74.57005
8.272496
74.62852
43 1 15
8 2014 5 1 5 0 27.5 3 27 13 11:29 11:54
8.343072
74.5869
8.350176
74.57639
44 2 15
8 2014 5 1 5 0 27.5 3 27 13 11:29 11:54
8.343072
74.5869
8.350176
74.57639
45 1 3
11
2014 30 1 40 0 32 2.5 14:23 15:43
8.33128
74.5706
8.25957
74.63975
46 2
3
1
1 2014 30 1 40 0 32 2.5 14:23 15:43
8.33128
74.5706
8.25957
74.63975
30
47 3
3
1
1 2014 30 1 40 0 32 2.5 14:23 15:43
8.33128
74.5706
8.25957
74.63975
48 4
3
1
1 2014 30 1 40 0 32 2.5 14:23 15:43
8.33128
74.5706
8.25957
74.63975
49 1
3
1
1 2014 30 1 50 0 33 4.7 32 13.5 16:07 17:16 8.2612
74.68382
8.34996
74.57633
50 2
3
1
1 2014 30 1 50 0 33 4.7 32 13.5 16:07 17:16 8.2612
74.68382
8.34996
74.57633
51 3
3
1
1 2014 30 1 50 0 33 4.7 32 13.5 16:07 17:16 8.2612
74.68382
8.34996
74.57633
52 4
3
1
1 2014 30 1 50 0 33 4.7 32 13.5 16:07 17:16 8.2612
74.68382
8.34996
74.57633
53 1
3
1
1 2014 0 1 30 0 13:33 14:00
8.35141
74.57559
8.31819
74.57078
54 1
4
1
1 2014 70 1 0 0 29.5 2.2 21.5 2.3 8:54 10:12 8.3514
74.5752
8.25784
74.64068
55 2
4
1
1 2014 70 1 0 0 29.5 2.2 21.5 2.3 8:54 10:12 8.3514
74.5752
8.25784
74.64068
56 3
4
1
1 2014 70 1 0 0 29.5 2.2 21.5 2.3 8:54 10:12 8.3514
74.5752
8.25784
74.64068
57 4
4
1
1 2014 70 1 0 0 29.5 2.2 21.5 2.3 8:54 10:12 8.3514
74.5752
8.25784
74.64068
31
58 5
4
1
1 2014 70 1 0 0 29.5 2.2 21.5 2.3 8:54 10:12 8.3514
74.5752
8.25784
74.64068
59 1
4
1
1 2014 70 1 10 0 29.5 5.5 31 2 11:01 12:25
8.26422
74.63683
8.31799
74.57093
60 2
4
1
1 2014 70 1 10 0 29.5 5.5 31 2 11:01 12:25
8.26422
74.63683
8.31799
74.57093
61 3
4
1
1 2014 70 1 10 0 29.5 5.5 31 2 11:01 12:25
8.26422
74.63683
8.31799
74.57093
62 1
4
1
1 2014 50 1 30 0 32 2.8 31 30.5 13:08 14:40
8.32386
74.50834
8.25788
74.63972
63 2
4
1
1 2014 50 1 30 0 32 2.8 31 30.5 13:08 14:40
8.32386
74.50834
8.25788
74.63972
64 3
4
1
1 2014 50 1 30 0 32 2.8 31 30.5 13:08 14:40
8.32386
74.50834
8.25788
74.63972
65 4
4
1
1 2014 50 1 30 0 32 2.8 31 30.5 13:08 14:40
8.32386
74.50834
8.25788
74.63972
66 5
4
1
1 2014 50 1 30 0 32 2.8 31 30.5 13:08 14:40
8.32386
74.50834
8.25788
74.63972
67 6
4
1
1 2014 50 1 30 0 32 2.8 31 30.5 13:08 14:40
8.32386
74.50834
8.25788
74.63972
68 1
4
1
1 2014 40 1 40 0 32 6.1 33.5 13 15:05 16:04 8.2609
74.63925
8.35088
74.5754
32
69 1
5
1
1 2014 60 1 20 0 31.5 19 30 18 9:40 10:06
8.35134
74.5752 8.3176
74.57093
70 2
5
1
1 2014 60 1 20 0 31.5 19 30 18 9:40 10:06
8.35134
74.5752 8.3176
74.57093
71 3
5
1
1 2014 60 1 20 0 31.5 19 30 18 9:40 10:06
8.35134
74.5752 8.3176
74.57093
72 4
5
1
1 2014 60 1 20 0 31.5 19 30 18 9:40 10:06
8.35134
74.5752 8.3176
74.57093
73 5
5
1
1 2014 60 1 20 0 31.5 19 30 18 9:40 10:06
8.35134
74.5752 8.3176
74.57093
74 6
5
1
1 2014 60 1 20 0 31.5 19 30 18 9:40 10:06
8.35134
74.5752 8.3176
74.57093
75 1
5
1
1 2014 60 1 20 0 30 2.5 31.5 3.4 10:27 11:57
8.31873
74.57063
8.25779
74.64021
76 1
5
1
1 2014 60 1 30 0 31 5.4 32 1.3 12:33 13:47
8.25779
74.64021
8.317185
74.57066
77 2
5
1
1 2014 60 1 30 0 31 5.4 32 1.3 12:33 13:47
8.25779
74.64021
8.317185
74.57066
78 3
5
1
1 2014 60 1 30 0 31 5.4 32 1.3 12:33 13:47
8.25779
74.64021
8.317185
74.57066
79 4
5
1
1 2014 60 1 30 0 31 5.4 32 1.3 12:33 13:47
8.25779
74.64021
8.317185
74.57066
33
80 1
5
1
1 2014 70 1 20 0 31.5 18 32.5 10 2:05 2:30
8.317974
74.56871
8.351002
74.5744
81 1
6
1
1 2014 100 1 0 1 26.5 3.7 26 3.8 9:34 10:45
82 2
6
1
1 2014 100 1 0 1 26.5 3.7 26 3.8 9:34 10:45
83 3
6
1
1 2014 100 1 0 1 26.5 3.7 26 3.8 9:34 10:45
84 4
6
1
1 2014 100 1 0 1 26.5 3.7 26 3.8 9:34 10:45
85 1
6
1
1 2014 100 1 0 1 25 2.4 26.5 5.1 11:24 12:48
86 2
6
1
1 2014 100 1 0 1 25 2.4 26.5 5.1 11:24 12:48
87 3
6
1
1 2014 100 1 0 1 25 2.4 26.5 5.1 11:24 12:48
88 4
6
1
1 2014 100 1 0 1 25 2.4 26.5 5.1 11:24 12:48
89 5
6
1
1 2014 100 1 0 1 25 2.4 26.5 5.1 11:24 12:48
90 1
6
1
1 2014 100 1 0 1 26 1.1 26.5 4.5 13:23 14:57
34
91 2
6
1
1 2014 100 1 0 1 26 1.1 26.5 4.5 13:23 14:57
92 3
6
1
1 2014 100 1 0 1 26 1.1 26.5 4.5 13:23 14:57
93 1
6
1
1 2014 100 1 0 0 26.5 2.6 27 14.3 15:26 16:42
94 2
6
1
1 2014 100 1 0 0 26.5 2.6 27 14.3 15:26 16:42
95 3
6
1
1 2014 100 1 0 0 26.5 2.6 27 14.3 15:26 16:42
96 4
6
1
1 2014 100 1 0 0 26.5 2.6 27 14.3 15:26 16:42
97 1
7
1
1 2014 100 0 0 0 27.5 3.2 26 3.4 8:20 9:35
8.35163
74.57527
98 2
7
1
1 2014 100 0 0 0 27.5 3.2 26 3.4 8:20 9:35
8.35163
74.57527
99 3
7
1
1 2014 100 0 0 0 27.5 3.2 26 3.4 8:20 9:35
8.35163
74.57527
100 4
7
1
1 2014 100 0 0 0 27.5 3.2 26 3.4 8:20 9:35
8.35163
74.57527
101 5
7
1
1 2014 100 0 0 0 27.5 3.2 26 3.4 8:20 9:35
8.35163
74.57527
35
102 1
7
1
1 2014 100 1 0 1 26 3.5 28.5 3.4 10:00 11:17
103 2
7
1
1 2014 100 1 0 1 26 3.5 28.5 3.4 10:00 11:17
104 3
7
1
1 2014 100 1 0 1 26 3.5 28.5 3.4 10:00 11:17
105 4
7
1
1 2014 100 1 0 1 26 3.5 28.5 3.4 10:00 11:17
106 5
7
1
1 2014 100 1 0 1 26 3.5 28.5 3.4 10:00 11:17
107 5
7
1
1 2014 100 1 0 1 26 3.5 28.5 3.4 10:00 11:17
108 1 19
01
2015 40 1 30 0 31.5 4.7 31 2 15:05 15:58
8.31504
74.5712 8.3164
74.59477
109 2
19
0
1 2015 40 1 30 0 31.5 4.7 31 2 15:05 15:58
8.31504
74.5712 8.3164
74.59477
110 1
19
0
1 2015 30 1 10 0 30 3.9 28 5.9 16:00 16:40
8.31491 74.596
8.25758
74.64077
111 1
20
0
1 2015 80 1 0 0 27.5 4 29.5 6.9 9:27 10:09
8.31618
74.59443
8.25736
74.6405
112 2
20
0
1 2015 80 1 0 0 27.5 4 29.5 6.9 9:27 10:09
8.31618
74.59443
8.25736
74.6405
113 3
20
0
1 2015 80 1 0 0 27.5 4 29.5 6.9 9:27 10:09
8.31618
74.59443
8.25736
74.6405
36
114 4
20
0
1 2015 80 1 0 0 27.5 4 29.5 6.9 9:27 10:09
8.31618
74.59443
8.25736
74.6405
115 1
20
0
1 2015 90 1 0 30 7.3 29.1 5.7 10:37 12:05
8.25931
74.6405
8.31556
74.57121
116 2
20
0
1 2015 90 1 0 30 7.3 29.1 5.7 10:37 12:05
8.25931
74.6405
8.31556
74.57121
117 3
20
0
1 2015 90 1 0 30 7.3 29.1 5.7 10:37 12:05
8.25931
74.6405
8.31556
74.57121
118 4
20
0
1 2015 90 1 0 30 7.3 29.1 5.7 10:37 12:05
8.25931
74.6405
8.31556
74.57121
119 5
20
0
1 2015 90 1 0 30 7.3 29.1 5.7 10:37 12:05
8.25931
74.6405
8.31556
74.57121
120 6
20
0
1 2015 90 1 0 30 7.3 29.1 5.7 10:37 12:05
8.25931
74.6405
8.31556
74.57121
121 1
20
0
1 2015 70 1 0 27 15.2 28 7.3 13:29 14:36
8.35492
74.57851
8.25786
74.63994
122 2
20
0
1 2015 70 1 0 27 15.2 28 7.3 13:29 14:36
8.35492
74.57851
8.25786
74.63994
123 3
20
0
1 2015 70 1 0 27 15.2 28 7.3 13:29 14:36
8.35492
74.57851
8.25786
74.63994
124 4
20
0
1 2015 70 1 0 27 15.2 28 7.3 13:29 14:36
8.35492
74.57851
8.25786
74.63994
37
125 1
20
0
1 2015 95 1 0 27.5 5.5 28 17.1 14:59 15:55
8.25580
74.64051
8.34991
74.57606
126 2
20
0
1 2015 95 1 0 27.5 5.5 28 17.1 14:59 15:55
8.25580
74.64051
8.34991
74.57606
127 3
20
0
1 2015 95 1 0 27.5 5.5 28 17.1 14:59 15:55
8.25580
74.64051
8.34991
74.57606
128 1
21
0
1 2015 95 1 0 29.5 15.2 27.5 4.8 8:33 8:54
8.35158
74.57567
8.31579 74.57
129 2
21
0
1 2015 95 1 0 29.5 15.2 27.5 4.8 8:33 8:54
8.35158
74.57567
8.31579 74.57
130 1
21
0
1 2015 95 1 0 26.5 4.8 26.5 7.9 9:15 10:11
8.31590
74.57091
8.29643
74.60971
131 2
21
0
1 2015 95 1 0 26.5 4.8 26.5 7.9 9:15 10:11
8.31590
74.57091
8.29643
74.60971
132 3
21
0
1 2015 95 1 0 26.5 4.8 26.5 7.9 9:15 10:11
8.31590
74.57091
8.29643
74.60971
133 1
21
0
1 2015 100 1 0 27.5 8.2 27 10.4 10:14 10:31
8.29331
74.61143 8.2691
74.63172
134 1
21
0
1 2015 100 1 0 27 5.7 28 6.4 11:27 13:00
8.25634
74.64073
8.31667
74.57062
135 2
21
0
1 2015 100 1 0 27 5.7 28 6.4 11:27 13:00
8.25634
74.64073
8.31667
74.57062
38
136 3
21
0
1 2015 100 1 0 27 5.7 28 6.4 11:27 13:00
8.25634
74.64073
8.31667
74.57062
137 4
21
0
1 2015 100 1 0 27 5.7 28 6.4 11:27 13:00
8.25634
74.64073
8.31667
74.57062
138 5
21
0
1 2015 100 1 0 27 5.7 28 6.4 11:27 13:00
8.25634
74.64073
8.31667
74.57062
139 6
21
0
1 2015 100 1 0 27 5.7 28 6.4 11:27 13:00
8.25634
74.64073
8.31667
74.57062
140 1
21
0
1 2015 90 1 0 28 4.6 27.5 7.2 13:20 14:54
8.31461
74.57063
8.25741
74.63914
141 2
21
0
1 2015 90 1 0 28 4.6 27.5 7.2 13:20 14:54
8.31461
74.57063
8.25741
74.63914
142 3
21
0
1 2015 90 1 0 28 4.6 27.5 7.2 13:20 14:54
8.31461
74.57063
8.25741
74.63914
143 4
21
0
1 2015 90 1 0 28 4.6 27.5 7.2 13:20 14:54
8.31461
74.57063
8.25741
74.63914
144 5
21
0
1 2015 90 1 0 28 4.6 27.5 7.2 13:20 14:54
8.31461
74.57063
8.25741
74.63914
145 1
22
0
1 2015 100 1 0 26 11.4 26.5 N/A 9:14 10:21
8.34976
74.57589 8.2575
74.63959
146 2
22
0
1 2015 100 1 0 26 11.4 26.5 N/A 9:14 10:21
8.34976
74.57589 8.2575
74.63959
39
147 3
22
0
1 2015 100 1 0 26 11.4 26.5 N/A 9:14 10:21
8.34976
74.57589 8.2575
74.63959
148 4
22
0
1 2015 100 1 0 26 11.4 26.5 N/A 9:14 10:21
8.34976
74.57589 8.2575
74.63959
149 1
22
0
1 2015 100 2 0 26.5 2.9 28 5.4 10:41 12:17
8.25577
74.64014
8.31491
74.5699
150 2
22
0
1 2015 100 2 0 26.5 2.9 28 5.4 10:41 12:17
8.25577
74.64014
8.31491
74.5699
151 3
22
0
1 2015 100 2 0 26.5 2.9 28 5.4 10:41 12:17
8.25577
74.64014
8.31491
74.5699
152 1
22
0
1 2015 100 1 0 26.5 4.8 27.5 7.6 12:41 13:32
8.31144
74.5695
8.33703
74.59528
153 2
22
0
1 2015 100 1 0 26.5 4.8 27.5 7.6 12:41 13:32
8.31144
74.5695
8.33703
74.59528
154 1
22
0
1 2015 100 1 0 26.5 4.5 27 7.5 13:55 14:37
8.31600
74.59455
8.25677
74.63856
155 2
22
0
1 2015 100 1 0 26.5 4.5 27 7.5 13:55 14:37
8.31600
74.59455
8.25677
74.63856
156 3
22
0
1 2015 100 1 0 26.5 4.5 27 7.5 13:55 14:37
8.31600
74.59455
8.25677
74.63856
157 1
22
0
1 2015 65 1 0 26.5 4.7 27 7.4 15:02 N/A
8.25481
74.63849
8.31945
74.56994
40
158 2
22
0
1 2015 65 1 0 26.5 4.7 27 7.4 15:02 N/A
8.25481
74.63849
8.31945
74.56994
159 3
22
0
1 2015 65 1 0 26.5 4.7 27 7.4 15:02 N/A
8.25481
74.63849
8.31945
74.56994
160 4
22
0
1 2015 65 1 0 26.5 4.7 27 7.4 15:02 N/A
8.25481
74.63849
8.31945
74.56994
161 5
22
0
1 2015 65 1 0 26.5 4.7 27 7.4 15:02 N/A
8.25481
74.63849
8.31945
74.56994
162 2 9 05
2015 90 1
163 1 9
0
5 2015 90 1 20 29.5 1 29 11.1 9:09 9:28
8.31246
74.57202
8.33028
74.57021
164 2 9
0
5 2015 90 1
165 1 9
0
5 2015 85 1 10 29 2.7 30.5 5.6 9:44 10:02
8.33095
74.57093 8.3468
74.57568
166 2 9
0
5 2015 85 1
167 3 9
0
5 2015 85 1
168 1 9
0
5 2015 70 1 20 30 6.2 28 9.4 10:04 10:40
8.34775 74.579
8.31606
74.5944
169 1 9
0
5 2015 60 1 30 31 4.5 33 9.7 10:57 11:48
8.31581
74.59464
8.25746
74.64043
41
170 2 9
0
5 2015 60 1
171 3 9
0
5 2015 60 1
172 4 9
0
5 2015 60 1
173 1 9
0
5 2015 70 1 30 33 9.7 33.5 10.5 12:25 13:00 8.2527
74.64007
8.29177
74.6092
174 1 9
0
5 2015 85 1 20 32 10 30.5 1 13:02 13:51
8.29587
74.6065 8.3516
74.57565
175 2 9
0
5 2015 85 1
176 1 9
0
5 2015 85 1 20 30.5 15.4 30 6.2 14:02 14:18
8.35089
74.37477
8.33102
74.57085
177 1 9
0
5 2015 90 1 20 32 3.5 30 6.2 14:29 14:43
8.33128
74.57093
8.34752
74.57646
178 1 9
0
5 2015 80 1 10 30 7.8 28 7.4 14:45 15:13
8.34744
74.57978 8.3168
74.59503
179 1 10
0
5 2015 70 1 60 27.5 3.3 27 16.5 15:19 15:46
8.31614
74.59445
8.34834
74.57786
180 1 10
0
5 2015 95 1 0 26 1.6 26.5 4.1 8:48 9:21 8.3553
74.57566 8.3105
74.57105
42
181 1 10
0
5 2015 100 2 0 26.5 3.7 26.5 5.7 9:40 9:55
8.31092
74.57117
8.33036
74.57001
182 1 10
0
5 2015 100 0 2 26 6 26.5 7.7 11:11 11:26 8.3318
74.57009
8.34797
74.57672
183 2 10
0
5 2015 100 0
184 3 10
0
5 2015 100 0
185 1 10
0
5 2015 70 1 10 27 13..2 27.5 8.4 11:30 11:40
8.34786
74.57991 8.337
74.59143
186 1 10
0
5 2015 80 1 20 28 7.7 30 0.8 11:43 11:57
8.33621
74.59167
8.31608
74.59441
187 1 10
0
5 2015 60 1 50 28.5 10.1 33.5 6.3 12:33 13:20
8.31531
74.59662
8.25821
74.64024
188 2 10
0
5 2015 60 1
189 3 10
0
5 2015 60 1
190 1 10
0
5 2015 60 1 50 33 5.1 28.5 10 13:42 14:38
8.25609
74.63963
8.31518
74.59709
191 2 10
0
5 2015 60 1
43
192 1 10
0
5 2015 50 1 60 28.5 11.4 29 16.4 14:47 15:10
8.31867
74.59541 8.3477
74.58034
193 1 11
0
5 2015 50 1 30 29 7.4 29 5.5 15:13 15:35
8.34836 74.764
8.33119
74.57053
194 1 11
0
5 2015 90 1 0 26 3.4 28 9.9 8:45 9:15
8.35146
74.57573
8.31742
74.59708
195 2 11
0
5 2015 90 1
196 1 11
0
5 2015 90 1 0 28 8.5 30.5 6.5 9:37 10:24
8.31286
74.59858
8.26163
74.63732
197 2 11
0
5 2015 90 1
198 3 11
0
5 2015 90 1
199 4 11
0
5 2015 90 1
200 5 11
0
5 2015 90 1
201 1 11
0
5 2015 65 1 10 32 6.1 30 10.5 10:44 11:00
8.25668
74.25668
8.27234
74.62798
202 2 11
0
5 2015 65 1
44
203 1 11
0
5 2015 65 1 20 29.5 10.1 29.5 9.8 11:07 11:43
8.27238
74.62816
8.31431
74.59792
204 2 11
0
5 2015 65 1
205 3 11
0
5 2015 65 1
206 4 11
0
5 2015 65 1
207 1 11
0
5 2015 60 2 20 29 10.3 29 15.9 11:55 12:18 8.3179
74.59539
8.34788
74.5086
208 1 11
0
5 2015 60 1 20 29 6.3 28.5 3.9 12:21 12:45 8.3479
74.57503
8.31044
74.57111
209 1 11
0
5 2015 50 1 20 28.5 4.3 29 4.6 13:10 13:26
8.31256
74.57139
8.32975
74.56982
210 1 11
0
5 2015 60 1 40 30 7.5 29.5 10.5 14:20 14:37
8.34733
74.57967
8.32526
74.59476
211 1 11
0
5 2015 0 1 50 29.5 9.9 29 NA 14:58 15:18
8.31778
74.59522
8.34821
74.57902
Bibliography
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Address list and web links Regional Government of Ucayali (http://www.regionucayali.gob.pe/)
Municipality of Yarinacocha (http://www.muniyarinacocha.gob.pe/)
Ministry of Environment (http://www.minam.gob.pe/)
Ministry of Production (http://www.produce.gob.pe/)
Institute of Amazon Investigation (http://www.iiap.org.pe/)
DIREPRO-Ucayali
Direction of Tourism-Ucayali
46
Distribution list
Ministry of Environment- Biodiversity sector
Ministry of Production (Fisheries) -Sustainable development sector
Institute of Amazon Investigation-Ucayali and Loreto offices
DIREPRO-Ucayali
Direction of Tourism-Ucayali
