Terms of Reference (TOR)
Title of Consultancy: GEF UNEP ILM India Baseline Survey of Rainforest Alliance Sustainable Agriculture Standard (RA SAS) 2020 farmer practices and cost benefit, in Karnataka (KA)
Acronyms
APCNF : Andhra Pradesh Community Managed Natural Farming
GEF : Global Environment Facility
ILM : Integrated Landscape Management
KA : Karnataka
RA : Rainforest Alliance
RA SAS : Rainforest Alliance Sustainable Agriculture Standard
SLM : Sustainable Land Management
ToR : Terms of Reference
UNEP : United Nations Environment Programme
I. Summary of Consultancy
This consultancy pertains to the RA-led GEF UNEP ILM India project "Transforming agricultural systems and strengthening local economies in high biodiversity areas of India through sustainable landscape management and public-private finance". It requires the assessment of the following baseline (reference) values of two types: The first phase, entails assessing the degree to which the projects target uncertified coffee farmers in KA apply RA SAS2020 crop management practices. The second phase entails assessing the cost-benefit of a subset of 25% of farmers surveyed in the first phase, selecting those which provided the best (most complete) data. These "second-phase" farmers will be divided into two groups: 1. Those not applying any (or applying just a few of) RA SAS2020 Core Requirement practices, and those applying at least 50% RA SAS2020 Core Requirements practices.
II. Background
About Rainforest Alliance
The Rainforest Alliance (RA) is an international non-profit organization working at the intersection of business, agriculture, and forests to make responsible business the new normal. RA is building an alliance to protect forests, improve the livelihoods of farmers and forest communities, promote their human rights, and help them mitigate and adapt to the climate crisis.
We work towards making responsible business the new normal through our certification program, tailored supply chain services, landscape and community work and advocacy.
Project Overview
The project seeks to address two critical challenges that have a negative impact on India's environmental health and the wellbeing of its people: land degradation and the loss of biodiversity. Land degradation, defined as the deterioration or loss of the productive capacity of soil, leads to food insecurity, higher food prices, climate change, environmental hazards, and the loss of biodiversity and ecosystem services. It is estimated that 27.77% of India's total geographical area has been degraded as on 2015-16. Biological diversity underpins the ecosystem goods and services that sustain human societies and generates considerable socio-economic value through the provision of goods such as food, water, and services such as climate regulation, pollination, disaster protection and nutrient cycling. The Government of India is a signatory to all the major biodiversity and land degradation treaties and conventions. It is committed to restore twenty-six million hectares of degraded land by 2030, including through sustainable agriculture. The project aims at enabling sustainable agricultural production systems, participatory land use management and responsible supply chains to reverse the process of land degradation and conserve biodiversity. In addition to building the skills and knowledge of small farmers, it will harness policy development, market demand and public-private investment to make sustainable land management (SLM) economically viable. At the farm level, there are two main SLM practices endorsed under this project: The first is based on the RA SAS2020 in Karnataka (KA). The second is based under the Andhra Pradesh Community Managed Natural Farming (APCNF).
This consultancy is focused on the projects aim to promote adoption of RA SAS2020 in KA, where the project aims to technically support 65,000 uncertified coffee farmers in 150,000 ha, so that, at the end of the project, at least half of them apply at least 50% of the RASAS2020s Core Requirements, and at least 80% of those that do so find practice adoption profitable (i.e., have a positive benefit-cost).
III. Consultancy Objectives * To select a random sample of 800 RA SAS2020-uncertified coffee farmers, 400 in each of the two clusters that span the districts of Chikkamagaluru, Kodagu and Hassan of KA (please see Table 1 in section IV, below). This selection will be carried out in consultation with the projects relevant stakeholders in KA.
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