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Agriculture, including rangelands, covers >30% of land globally, with trees being an integral part of most smallholdings. Trees on Farms (TonF) remain largely invisible in countries’ approaches to meet their UNCBD or UNCCC targets. The implementing partners have been working on TonF for more than 30 years. In particular the sentinel landscape initiative (SL) led by ICRAF provides integrated data sets to improve understanding of TonF roles for sustainable development for all of the implementing countries. The SL provides a unique opportunity to transform national capacities for harnessing TonF, development of tools and interventions and greatly increasing the contribution of agricultural land to Aichi Targets (ATs). Building on the SL initiative, the project aims to improve countries’ knowledge of TonF importance for biodiversity and for human wellbeing. It will develop and disseminate practical, context-specific strategies to increase TonF based on local knowledge and local needs. Furthermore, the project will strengthen partnerships between governmental agencies in different sectors (Agriculture, Forestry, Conservation) and with potential financial investors to garner non-public finances for TonF. In addition, the project will build countries’ technical expertise to monitor, assess and report on TonF through innovative, practical approaches and training of NGOs and governmental staff.
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41 to 50 of 189 Results
MS Excel Spreadsheet - 41.4 KB - MD5: 0f852b2c57d9ed5b77e3c5e76b6439a7
DataRaw data
Sub plots data
MS Excel Spreadsheet - 772.1 KB - MD5: fbf9f175d17c45a1b4774b23ff02c8f4
DataRaw data
Tree information table
MS Excel Spreadsheet - 976.2 KB - MD5: 12c4bc410d1742016f9a426e9b20992b
Data
Cleaned tree species data
MS Excel Spreadsheet - 35.7 KB - MD5: dd89af664b51ca8042ef3761d164df2c
DataRaw data
Tree height information table
Tab-Delimited - 71.4 KB - MD5: 472e5252278e5cd1a1c36fc2ff2bc55d
Data
Cleaned tree height data
R Data - 2.2 KB - MD5: b1716070c4a5d8241d1c694d13314bb5
Clean dataData
Unknown - 45.5 KB - MD5: 51d70f50e6de959cd8d55e4fe2f5c903
Clean dataData
MS Excel Spreadsheet - 25.5 KB - MD5: 524fec825430df63b7e2b3c484432fce
Clean dataData
MS Excel Spreadsheet - 51.0 KB - MD5: f7b02e17c26bc604e99fae0eb6566760
DataRaw data
Sub plots data
R Data - 69.3 KB - MD5: d5d35803cd3cdba447fece3e6aa5f37c
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