Meeting Name: Committee on Forests and the Forest Industry
Meeting symbol/code: FO:EFC/2015/Inf.3 - ECE/TIM/2015/Inf.3
Session: Sess.38 - Sess.73

In this issue: the meeting in Antalya laid the foundation for the implementation of the ELD Initiative in Central Asia. The ELD CA Initiative held a working meeting in Ashgabat. Communication issues have been identified. A working meeting of the group of Tajik specialists. ELD CA paths of cooperation are being determined. A 6-step approach to issues of the Economics of Land Degradation.

Meeting Name: European Commission on Agriculture
Meeting symbol/code: ECA/39/15/3
Session: Sess. 39

The partnership between Kazakhstan and FAO has been constantly evolving since the country became a member of the Organization in 1997. Kazakhstan has recently increased its emphasis on investments in agriculture, forestry and rural development, and aims to modernize the sector while transitioning to a green economy.

FAO’s best-selling 2011 publication, <i>Save and Grow</i>, proposed a new paradigm of agriculture, one that is both highly productive and environmentally sustainable. This new book looks at the application of “Save and Grow” practices and technologies to production of the world’s key food security crops – maize, rice and wheat.

In this issue: ELD CA National teams defined and visited pilot research sites. ELD CA Initiative presented at the International Water Forum of Mountain Countries. ELD CA National teams defined ecosystem services and their valuation methods. ELD CA and UNDP BIOFIN project in Kazakhstan defined the cooperation during the

An attempt was made to assess the land condition while taking into consideration environmental and socio-economical parameters that could be drivers of ongoing land degradation processes. Many of these variables have spatial and temporal characteristics and can therefore be monitored through GIS-based tools thus contributing valuable information for assessing land degradation risk.

In recent decades, multi-spectral and hyper-spectral remotely sensed imageries with high and modern spatial resolutions at sufficient time-series interval have been developed. This allows for detecting crop types and its distribution over large areas and at short time intervals.