nature’s benefits: natural capital in...nature’s benefits: natural capital in the south atlantic...

Nature’s Benefits: Natural Capital in the South Atlantic

13 March 2019

Amanda Gregory: Senior Overseas Territories Officer

Natural capital in the Caribbean and South Atlantic Overseas Territories:

Valuation, vulnerability and monitoring change

Natural capital in the Caribbean and south Atlantic Overseas

Territories: valuation, vulnerability and monitoring change

supporting terrestrial, coastal and marine spatial planning and economic development

£2.1 million30 months4 Caribbean & 3 South Atlantic OTsOutreach projects

http://jncc.defra.gov.uk/page-7443

Ascension

St Helena

Tristan da Cunha

Bermuda

Cayman Islands

Turks & Caicos

Anguilla

South Georgia

Falklands

BVI

Montserrat

Chile

Namibia

Caribbean

South AfricaPeru

Colombia

National Security Council

Overseas Territories Strategy

Conflict, Stability & Security Fund (CSSF):Defra Environment

CSSF funding route

FCO Defra JNCC

SAERI

JNCC

Enhancing Economic Security

through Environmental Resilience

• Natural capital assessments – led by JNCC

• Biosecurity – led by APHA

• Marine Blue Belt - led by CEFAS

• Gough Island restoration – led by RSPB

JNCC staff engagement in St Helena

Environmental mainstreaming

2011 - 15

Environmental economics2012 - 2015

Natural capital2016 - 2019

Anguilla

British Virgin Islands

Turks & Caicos Islands

Falkland Islands

Cayman Islands

Anguilla

British Virgin Islands

Anguilla

British Virgin Islands

Turks & Caicos Islands

Montserrat

Falkland Islands

St Helena

Acsension

Tristan da Cunha

Common ancestor – FCO request for JNCC advice

Natural Capital in the UKOTs

Publications

Overseas Territories Natural Capital: valuation, vulnerability and monitoring change to:

• improve long term economic planning and

• support growth and diversification

Objective

• To assess the value of the environmental goods and service; – integrate this information into marine and terrestrial spatial

planning,

– economic planning and

– environmental protection

Enhancing Economic Security

through Environmental Resilience

3 principles

• Participatory: Partnership

• Unifying: Sectors data and information

• A tool: Becomes a routine part of planning and

policy

CSSF reporting framework

Integrating conservation

Mapping ecosystemgoods & services

Value of ecosystemgoods and services

Earth observation – Information management (GIS) – Economic assessments

Habitat mapping/speciesconservation support

Monitoring environmentalchange

Integrate environmental economics ‘metrics and mapping’into national economic planning

Spatial planning

British Overseas Territories

Montserrat ©Montserrat Connect

4 Caribbean OTs

British Virgin Islands National Trust©

Anguilla National Trust ©

Montserrat

Scoping workshop

November 2016

Key priorities:

• Fisheries data• Data management and analysis

Fisheries biological data is not collected and there is inconsistent, sporadic collection of landings data. Often containing errors.

Not:

• Advice

• Policy guidance

• Best practice

• Case studies

• Report based

Are:

• Technical Support

• Training

• Measurable attributes

• GIS Mapping

• Valuations

Montserrat Fisheries

Are:

• Policy recommendations

• Analysis of valuations

• Monitoring systems

• Indicators

• GIS layers integrated into national GIS

Estimated Ecosystem Services :

Montserrat (2016)

limits on available data meanthe results include a mix of different measures of economic value.

Montserrat Fisheries

Description Value XCD

Commercial fishing industry 2016 548,280

Fishing costs 373,331

Expenditure (largest gear replacement) 188,847

Operating costs (fuel and bait) 129,914

Depreciation costs (Net value added) 174,949

Value of the commercial fishing industry based on 2016 official records.

Description Unit Value

Total catch lbs 2,403

Number of trips observed 26

Number of trips missed 2

Catch scale to 1 Year lbs 125,002

Value of catch 1 Week XCD 24,039

Value scaled to 1 Year (2017) XCD 1,250,028

Official value (2016) XCD 548,280

10,700 XCD per week

One-week landings data collection

Description Unit Value

Total catch predicted lbs 174,808.4

Total Value predicted for 1 Year XCD 1,748,084

Assuming 2/3rds of pots were lost in 2017 Hurricane

season, and pot fishing contributes 50% of the overall catch.

• Initial step: Adopting outputs

• implementation of outcomes

• Economic values recognised and processes adopted to update and extend (not report based)

• Monitoring programmes (based on environmental economics metrics) implemented

• GIS based value maps integrated into the national systems.

Montserrat

• Value of natural environment• Value of data,• GIS unit• How the natural environment can be used to support development• Support the integration of natural capital into national accounts

US$3,176.6 million

Methodology

• Use of high resolution radar data and optical data

• Use of high-resolution terrain model enables variety of derived products

to be generated

• Integrated with bathymetry to enable storm surge modelling

• Historical rainfall, soil and habitat maps led to erosion risk and channel

mapping

Using radar-based terrain mapping to

model the vulnerability of Anguilla

Natural capital and resilience

Anguilla US$325.8 million

Vulnerability and resilience project

Results

Anguilla

Resulted in:

– Changes to evacuation strategies by Disaster Management

– Relocation of fire engines and other emergency services away from most at risk zones

– Value of salt-ponds, mangroves and coral reefs in slowing the energy of storm surges

– Supporting planning applications & using risk zones

– Erosion layers for land use planning and showing land owners risk zones and support mitigating measures through restoring natural vegetation

– Help investors understand the significance of conserving key areas

– Identifying infrastructure at risk & id areas that need to be targeted to maximise the speed of response

British Virgin IslandsTurks and Caicos Islands

Natural Capital Accounts

Outputs – fetch model

High

Low

N