Coastal Environmental Baseline Program – Iqaluit
Learn about how Arctic UAV contributes to the coastal environmental baseline program in Iqaluit.
The Coastal Environmental Baseline Program (CEBP) was established in 2017 as one of the initiatives under the Protecting the Marine Environment pillar of the Government of Canada’s Oceans Protection Plan. This Program contributes to coastal and waterway protection by providing funding for scientific activities that help us learn more about Canada’s coastal ecosystems.
You can also watch the following video with Inuktitut captions on Youtube
English transcript
Nadine Templeman: The Coastal Environmental Baseline Program was established in 2017 to inform better decision making in areas of existing high or increasing vessel traffic. The objectives of the program are to determine the physical, chemical and biological baselines at six sites across Canada, and those are in the coastal zone.
Chris Lewis: Here in Iqaluit, we're expecting shipping traffic to continue to increase in the North. We have a new deep-water port, construction is currently happening. We have a new small craft harbor and it just seemed to be a really good fit.
We collect information on different species diversity from everything from phytoplankton up to fish species. We have food web studies going on in the coastal areas and in the larger Frobisher Bay. We really work closely with the community to identify what's important to them and then work with them to try and identify people that can help us answer those questions.
Kirt Ejesiak: I think our team really feels we're contributing to a larger project. It's something that was started over 30 years ago. We understand the baseline research that was done back then. We're trying to replicate that with newer tech using unmanned systems.
Chris Lewis: So Arctic UAV has a lot of knowledge and expertise when it comes to flying drones and because the tides are so high here in Iqaluit and the intertidal areas are so important to invertebrates and clam areas around the community, it just seemed like it was a good fit.
Kirt Ejesiak: In today's instance, we went to a historic site. It's an area where we were five years ago going back to capture that information, doing an aerial survey, looking at detailed maps to look at either erosion over time, looking at areas that may be of interest to the community.
Chris Lewis: And by having them map out the intertidal areas. It's really, really helpful and complementary to a lot of the other studies where folks are looking at species biodiversity or looking at species affiliation with different types of habitat.
Kirt Ejesiak: And then the ROV side looking at what's going on underneath the water, if it's looking at new species, if it’s looking at validating species that were there 30 years ago we’re trying to capture that imagery so that we know what changes are happening over time.
Chris Lewis: If you want a program to be successful, you need to acknowledge and work with the knowledge experts and the communities, the people that live here that have grown up here. You want to do stuff that's important to them to address community concerns. And if you're doing that and you're working hand in hand, it's going to build trust. It's going to build partnerships and you're just going to go a lot further.
Kirt Ejesiak: I think our project really capitalizes on local knowledge. It's important to recognize these areas are important historically, important for harvesting, important for many reasons. Our ancestors were in these areas and just understanding what's their benefits. My kids and my great grandkids, just knowing that that information is being passed on.
Chris Lewis: One of the deliverables for the program will be to make sure that the data that's collected as part of the program is also accessible by the public too. So it's a really great snapshot in time of where we are at this moment, and it'll give us some really great reference points for the future to see how human impacts are actually going to affect some of these ecosystems.
Inuktitut transcript
ᓇᑏᓐ ᑎᒻᐳᒪᓐ
ᐅᑯᐊ ᓯᒡᔭᐅᑉ ᐊᕙᑎᖓᓄᑦ ᖃᐅᔨᓴᕆᐊᕐᖓᐅᑎᑦ ᐱᓕᕆᑎᑦᑎᔾᔪᑕᐅᔪᑦ ᓴᕿᑕᐅᓚᐅᖅᑐᑦ 2017-ᒥ ᑐᓴᐅᒪᑦᑎᐊᕐᓂᖅᓴᐅᓂᐊᕋᑦᑕ ᐃᓱᒪᓕᐅᕆᔭᕆᐊᖃᖅᑕᑦᑎᒍᑦ ᓄᓇᒧᑦ ᒫᓐᓇᐅᔪᑦ ᐅᒥᐊᑦ ᐃᖏᕐᕋᔭᓗᐊᖅᑐᑦ ᐊᒻᒪᓗ ᐅᓄᖅᓯᕙᓪᓕᐊᔪᑦ ᐅᒥᐊᑦ ᐃᖏᕐᕋᔭᒃᑐᑦ. ᐅᑯᐊ ᑐᑭᓕᐅᕈᑕᐅᔪᑦ ᐱᓕᕆᑎᑦᑎᔾᔪᑕᐅᔪᒧᑦ ᖃᐅᔨᓂᐊᕋᑦᑕ ᑭᓱᖃᕐᒪᖔᑕ ᑕᑯᔭᒃᓴᐅᔪᑦ, ᐃᒥᕐᓗᐃᑦ ᐊᒻᒪᓗ ᐆᒪᔪᓂᑦ ᖃᓄᐃᑦᑐᓪᓚᕆᐅᓂᖓᖏᓐᓂ ᓇᓗᓇᐃᖅᓯᒍᑎᑦ ᑕᐃᑲᓂ 6 ᐃᓂᒋᔭᐅᔪᓂ ᑕᒪᐃᓐᓂ ᑲᓇᑕᒥ, ᐊᒻᒪᓗ ᑖᒃᑯᐊ ᓯᒡᔭᐃᑦ ᑭᒡᓕᖏᓐᓃᑦᑐᑦ.
ᑯᓕᔅ ᓗᐃᔅ
ᑕᒡᕙᓂ ᐃᖃᓗᖕᓂ, ᓂᕆᐅᒃᑐᒍᑦ ᐅᒥᐊᑦ ᐃᖏᕐᕋᔭᓕᕐᓂᐊᖅᑐᑦ ᑲᔪᓯᔪᒥᒃ ᐅᓄᖅᓯᕙᓪᓕᐊᓗᑎᒃ ᐅᑭᐅᖅᑕᖅᑐᒥ. ᐱᖃᓕᕋᑦᑕ ᓄᑖᒥᒃ ᐅᒥᐊᕐᔪᐊᓄᑦ ᐅᓰᔭᐃᕕᒃ ᑭᓴᕐᕕᖓ, ᓴᓇᔭᐅᔪᖅ ᒫᓐᓇ ᑕᒡᕙ. ᐱᖃᖅᑐᒍᑦ ᓄᑖᒥᒃ ᒥᑭᔪᒥᒃ ᐅᒥᐊᕐᓄᑦ ᑭᓴᕐᕕᒃ ᐊᒻᒪᓗ ᓈᒻᒪᑦᑎᐊᖂᔨᔪᖅ ᑖᒃᑯᓄᖓ.
ᓄᐊᑦᑎᖃᑦᑕᖅᐳᒍᑦ ᑭᓲᖕᒪᖔᑕ ᓇᓗᓇᐃᖅᓯᓪᓗᑕ ᐊᔾᔨᒌᓐᖏᑦᑐᓂᒃ ᐆᒪᔪᓂᒃ ᓇᑭᑐᐃᓐᓇᖅ ᐃᒪᕐᒥᐅᑕᐃᑦ ᐱᕈᖅᑐᑦ ᐊᑦᑕᑎᖃᓐᖏᑦᑐᑦ ᑖᒃᑯᐊᓗ ᐃᖃᓗᐃᑦ. ᓂᕿᒋᔭᐅᔪᓂᒃ ᐱᑕᖃᖅᑐᖅ ᐃᓕᑦᑎᓇᓱᒃᑐᒍᑦ ᑲᔪᓯᓂᐊᖅᑐᖅ ᓯᒡᔭᓂ ᐊᒻᒪᓗ ᐊᖏᓂᖅᓴᐅᔪᒥ ᕗᓘᐱᓱ ᐸᐃ. ᓴᓇᖃᑎᖃᖅᑐᒍᑦ ᖃᓂᒋᓪᓗᒋᑦ ᓄᓇᓖᑦ ᓇᓗᓇᐃᖅᓯᓇᓱᐊᖅᑎᓪᓗᑕ ᑭᓱᑦ ᐱᒻᒪᕆᐅᖕᒪᖔᑕ ᑖᒃᑯᓄᖓ ᐊᒻᒪᓗ ᑕᐃᒪ ᓴᓇᖃᑎᒋᓕᖅᖢᒋᑦ ᓇᓗᓇᐃᖅᓯᓪᓗᑎᒃ ᐃᓄᐃᑦ ᑖᒃᑯᐊ ᐃᑲᔪᕈᓐᓇᖅᑐᑦ ᐅᕙᑦᑎᓐᓂᒃ ᑭᐅᓯᓗᑎᒃ ᑖᒃᑯᓂᖓ ᐊᐱᖁᑎᓂᒃ.
ᑯᑦ ᐃᔨᑦᓯᐊᖅ
ᐃᓱᒪᔪᖓ ᐅᑯᐊ ᐱᓇᓱᐊᖃᑎᒋᔭᕗᑦ ᐃᒃᐱᒍᓱᒃᑐᑦ ᐃᑲᔫᑎᑦᑎᐊᕋᑦᑕ ᐊᖏᓂᖅᓴᓄᑦ ᐱᓕᕆᐊᖑᔪᓄᑦ. ᑕᓐᓇᓗ ᐱᒋᐊᖅᑎᑕᐅᓚᐅᖅᓯᒪᔪᖅ ᐅᖓᑖᓂ 30 ᐅᑭᐅᑦ. ᑐᑭᓯᔪᒍᑦ ᑕᒪᒃᑯᐊ ᖃᐅᔨᓴᕆᐊᕐᖓᐅᑎᑦ ᑖᒃᑯᐊᓗ ᐱᔭᕇᖅᑕᐅᓚᐅᖅᓯᒪᔪᑦ ᑕᐃᔅᓱᒪᓂᑐᖃᖅ. ᑕᐃᒃᑯᐊ ᓴᕿᑦᑎᕕᒋᑲᓐᓂᕋᓱᐊᖅᑕᕗᑦ ᓄᑖᖑᓂᖅᓴᑎᒍᑦ ᖃᕆᓴᐅᔭᖃᓕᖅᑎᓪᓗᒍ ᐊᑐᖅᑕᕗᑦ ᖁᓕᒥᒎᓕᖑᐊᑦ ᐊᔾᔨᓕᐅᕈᑎᓕᒃᑎᒍᑦ.
ᑯᓕᔅ ᓗᐃᔅ
ᑕᐃᒪᓗ ᐅᑭᐅᖅᑕᖅᑐᒥ ᖁᓕᒥᒎᓕᖑᐊᑦ ᐊᔾᔨᓂᐅᕈᑎᑦ ᐊᖏᔪᒥᒃ ᖃᐅᔨᒪᓕᕐᑎᑦᑎᔪᓐᓇᖅᑐᑦ ᐊᒻᒪᓗ ᖃᐅᔨᒪᔨᒪᔾᔪᑎᒻᒪᕆᐅᔪᑦ ᖃᖓᑕᑎᑦᑎᓪᓗᑕ ᑖᒃᑯᓂᖓ ᐊᔾᔨᐅᕈᑎᓕᖕᓂᒃ ᐊᒻᒪᓗ ᐱᔾᔪᑎᒋᓪᓗᒍ ᐅᓕᓐᓂᖃᕐᒪᑦ ᐊᕗᖔᓘᖅᑐᒥᒃ ᐃᖃᓗᖕᓂ ᐊᒻᒪᓗ ᐅᓕᓐᓂᖏᓐᓂᑦ ᐱᒻᒪᕆᐅᖕᒪᑕ ᕿᒥᕐᓗᖃᓐᖏᑦᑐᓄᑦ ᐆᒪᔪᓄᑦ ᐊᒻᒪᓗ ᐊᒻᒨᒪᔪᕐᓄᑦ ᖃᓂᒋᔭᖓᓂ ᓄᓇᓖᑦ, ᑕᐃᒪᓗ ᓲᕐᓗ ᑖᒃᑯᐊ ᓈᒻᒪᓈᑦᑎᐊᖃᑦᑕᕐᒪᑕ.
ᑯᑦ ᐃᔨᑦᓯᐊᖅ
ᓲᕐᓗ ᐅᓪᓗᒥ ᐱᔾᔪᑎᒋᓪᓗᒍ, ᐅᐸᒍᑎᓚᐅᖅᑐᑦ ᐃᓄᐃᑦ ᐱᖁᓯᑐᖃᖃᕐᕕᖏᓐᓄᑦ ᐃᓂᒋᔭᐅᔪᓄᑦ. ᑕᐃᑲᓂ ᓄᓇᓂ ᑕᐃᑲᓂᓕ ᐊᓂᒍᖅᑐᑦ ᑕᓪᓕᒪᑦ ᐊᕐᕌᒍᐃᑦ ᑐᑭᓯᔾᔪᑎᒋᓚᐅᖅᑕᕗᑦ ᑖᒃᑯᓂᖓ, ᐱᓕᕆᔾᔪᑎᒋᓪᓗᒋᑦ ᖃᖓᑕᔪᑎᒍᑦ ᖃᐅᔨᓴᖅᖢᑕ, ᑕᑯᓐᓇᖅᖢᑕ ᓇᓗᓇᐃᔭᑦᑎᐊᖅᓯᒪᔪᓂᒃ ᓄᓇᓐᖑᐊᕐᓂᒃ ᕿᓂᖅᖢᑕ ᓇᐅᒃᑯᑦ ᐊᐅᕙᓪᓕᐊᖕᒪᖔᑕ, ᕿᓂᖅᖢᑕ ᓄᓇᓂᒃ ᑖᒃᑯᐊ ᐊᑐᕈᒪᒐᔭᖅᑕᖏᓐᓂᒃ ᑐᓴᕈᒪᒐᔭᖅᑕᖏᓐᓂᒃ ᓄᓇᓖᑦ.
ᑯᓕᔅ ᓗᐃᔅ
ᐊᒻᒪᓗ ᐱᓯᒪᓪᓗᒋᖅ ᓄᓇᓐᖑᐊᑦ ᑖᒃᑯᐊ ᑎᓂᕕᐅᕙᒃᑐᑦ, ᐊᖏᔪᒥᒃ, ᐊᖏᔪᒻᒪᕆᖕᒥ ᐃᑲᔫᑎᔪᑦ ᐊᒻᒪᓗ ᒪᓕᑦᑎᐊᖅᑐᑦ ᐊᒥᓱᓂᑦ ᐊᓯᖏᓐᓂᑦ ᐃᓕᑕᐅᓇᓱᒃᓯᒪᔪᓂᒃ ᑕᐃᒃᑯᐊ ᕿᓂᖃᑦᑕᖅᑐᑦ ᐆᒪᔪᓂᒃ ᐅᒡᕙᓘᓐᓃᑦ ᐆᒪᔪᓄᑦ ᐊᑕᔪᓂᒃ ᐊᔾᔨᒌᓐᖏᑦᑐᑦ ᓇᔪᖅᑕᐅᕙᒃᑐᑦ.
ᑯᑦ ᐃᔨᑦᓯᐊᖅ
ᐊᒻᒪᓗ ᑕᐃᒫᒃᑕᐅᖅ ᑖᒃᑯᐊ ᖃᖓᑕᔪᑦ ᐊᔾᔨᓕᐅᕈᑎᑦ ᖁᓕᒥᒎᓕᖑᐊᑦ ᑕᑯᓐᓇᖅᐸᒃᑐᑦ ᖃᓄᐃᓕᖓᓕᕐᒪᖔᑕ ᐃᖃᖓᓂ ᐃᒪᐅᑉ, ᑕᑯᓇᓱᒡᖢᓂ ᓄᑖᓂᒃ ᐆᒪᔪᓂᒃ, ᑕᑯᓐᓇᖅᑐᑦ ᐱᑕᖃᓪᓚᕆᖕᓂᖏᓐᓂᒃ ᐆᒪᔪᑦ ᑖᒃᑯᐊᓗ ᑕᐃᑲᓃᓚᐅᖅᑐᑦ 30 ᐅᑭᐅᑦ ᐊᓂᒍᖅᑐᓂ ᕿᓂᖃᑦᑕᖅᑐᒍᑦ ᐊᔾᔨᓕᐅᕐᓗᒋᑦ ᑕᐃᒫᒃ ᖃᐅᔨᓂᐊᕋᑦᑕ ᐊᓯᕈᖅᑐᓂᒃ ᐊᓯᕈᖅᐸᓪᓕᐊᖑᔭᖅᑐᓂᒃ ᐊᑯᓂᐅᔪᒃᑯᑦ.
ᑯᓕᔅ ᓗᐃᔅ
ᑕᐃᒪᓗ ᐱᓕᕆᑎᑦᑎᔾᔪᑕᐅᔪᖅ ᑲᔪᓯᑦᑎᐊᕈᓐᓇᖅᑐᖅ, ᐃᓕᓴᕆᔭᕆᐊᖃᖅᑕᑎᑦ ᐊᒻᒪᓗ ᓴᓇᖃᓯᑎᒋᓗᒋᑦ ᖃᐅᔨᒪᔨᒻᒪᕆᑦ ᐊᒻᒪᓗ ᓄᓇᓖᑦ, ᐃᓄᐃᑦ ᓄᓇᖃᑦᑐᑦ ᑕᒫᓂ ᐱᕈᖅᓴᓯᒪᔪᑦ ᓄᓇᖓᓐᓂ. ᐱᓕᕆᔪᒪᕗᖓ ᐱᒻᒪᕆᐅᔪᓂᒃ ᑖᒃᑯᓄᖓ ᐱᓕᕆᐊᕆᓗᒋᑦ ᓄᓇᓖᑦ ᐃᓱᒫᓘᑎᖏᑦ. ᐊᒻᒪᓗ ᑕᐃᒪᓐᓇᐅᒍᑦᑕ ᑖᒃᑯᐊ ᐊᒻᒪᓗ ᓴᓇᖃᑎᒋᓂᐊᖅᑕᕗᑦ ᑲᑐᔾᔨᓗᑕ, ᐋᕿᒃᓯᓯᒪᓂᐊᖅᑐᒍᑦ ᐃᒃᐱᒌᖃᑦᑕᐅᑎᑦᑎᐊᕐᓂᕐᒥᒃ. ᐋᕿᒃᓱᐃᓂᐊᖅᑐᖅ ᐱᓇᓱᐊᖃᑎᒌᑦᑎᐊᕈᓐᓇᕐᓂᕐᒥᒃ ᐊᒻᒪᓗ ᐅᖓᕙᕆᐊᖅᐸᓪᓕᐊᖏᓐᓇᕐᓂᐊᖅᑐᖅ ᐱᓕᕆᐊᕆᔭᑦᑎᒍᑦ.
ᑯᑦ ᐃᔨᑦᓯᐊᖅ
ᐃᓱᒪᔪᖓ ᐅᓇ ᐱᓕᕆᐊᕆᔭᕗᑦ ᐊᖏᒡᓕᒋᐊᕐᓂᐊᖅᑐᖅ ᓄᓇᓖᑦ ᖃᐅᔨᒪᓂᖏᓐᓄᑦ. ᐱᒻᒪᕆᐅᕗᖅ ᐃᓕᓴᕆᓗᒋᑦ ᑖᒃᑯᐊ ᓄᓇᐃᑦ ᐱᒻᒪᕆᐅᔪᒥᒃ ᐃᒻᒪᑲᓪᓚᓂᑦ ᐊᑐᖅᑕᐅᔪᑦ, ᐱᒻᒪᕆᐅᔪᑦ ᐊᖑᓇᓱᒃᑎᓄᑦ, ᐱᒻᒪᕆᐅᔪᑦ ᐊᒥᓱᓂᒃ ᐱᔾᔪᑎᖃᖅᑐᓄᑦ. ᑖᒃᑯᐊ ᑭᖑᓂᕆᓚᐅᖅᑕᑦᑎᓐᓂ ᐃᓅᓚᐅᖅᑐᖅ ᑕᒫᓃᓚᐅᕐᒪᑕ ᓄᓇᓂ ᐊᒻᒪᓗ ᑐᑭᓯᑦᑎᐊᕐᓂᐊᕋᑦᑕ ᓱᓇᐅᖕᒪᖔᑕ ᐃᑲᔫᑎᖏᑦ. ᓄᑕᕋᒃᑲ ᐊᒻᒪᓗ ᐃᕐᖑᑕᒃᑲ, ᖃᐅᔨᒪᓂᐊᖅᑐᑦ ᑖᒃᑯᓂᖓ ᓱᓇᐅᖕᒪᖔᑕ ᑕᐃᒃᑯᓇᖓᑦ ᑐᓂᔭᐅᓯᒪᔪᑦ ᖃᐅᔨᒪᓚᐅᖅᑕᖏᓐᓂᒃ.
ᑯᓕᔅ ᓗᐃᔅ
ᐊᑕᐅᓯᖅ ᑐᓂᓯᓯᒪᓗᐊᖑᐊᖅᑐᖅ ᑕᒪᑐᒨᓇ ᐱᓕᕆᑎᑦᑎᔾᔪᑕᐅᔪᑎᒍᑦ ᖃᐅᔨᒪᓂᐊᕋᑦᑕ ᐅᑯᐊ ᐱᕙᓪᓕᐊᔭᕗᑦ ᖃᐅᔨᒪᔾᔪᑎᒃᓴᐅᓗᑎᒃ ᓄᐊᑕᕗᑦ ᐃᓚᒋᔭᖓ ᐱᓕᕆᑎᑦᑎᔾᔪᑎᒋᔭᑦᑕ ᐱᔭᐅᔪᓐᓇᕐᓂᐊᕐᒥᔪᑦ ᐃᓄᓕᒫᓂᑦ. ᑕᐃᒪᓗ ᐱᐅᔪᒻᒪᕆᐆᖕᒪᑕ ᐊᔾᔨᓕᐅᖅᓯᒪᔪᑦ ᑕᐃᑲᓃᑎᓪᓗᑕ ᒫᓐᓇᐅᔪᒥ ᐱᓕᕆᐊᕆᔭᕗᑦ, ᐊᒻᒪᓗ ᑐᓂᓯᓯᒪᔪᑦ ᐱᐅᔪᒻᒪᕆᖕᓂᒃ ᖃᐅᔨᒪᔾᔪᑎᒃᓴᓂᑦ ᓯᕗᓂᒃᓴᑦᑎᓐᓂ ᑕᑯᓂᐊᕐᓗᑕ ᖃᓄᖅ ᐃᓄᐃᑦ ᐊᒃᑐᐃᔪᓐᓇᕐᓂᖏᑦ ᖃᓄᐃᓕᖓᓪᓚᕆᓕᖅᑐᓂᒃ ᐊᒃᑐᖅᑕᖏᓐᓂᒃ ᐃᓚᖏᓐᓄᑦ ᑖᒃᑯᓄᖓ ᐆᒪᔪᓕᒫᑦ ᐊᕙᑎᓕᒫᖏᓪᓗ.
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