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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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31 to 40 of 169 Results
MS Excel Spreadsheet - 26.0 KB - MD5: 5ebf8ef150bee92303b967b752e5ed24
Data
Unknown - 67.3 KB - MD5: a2a8f5416353c150a2f1ffada0427548
Data
R Data - 3.4 KB - MD5: ffa56f5c1ebaffe5be8250431cf14111
Data
MS Excel Spreadsheet - 226.7 KB - MD5: c72136279af5824f95cb99b760ecaa54
DataRaw data
Birds survey data
Tab-Delimited - 2.3 KB - MD5: b0ba5436a5b95b0be832c9118f798015
Clean dataData
Plots, trees and birds species data. The individual files are within different excel sheets.
Tab-Delimited - 2.5 KB - MD5: cb5e0283ea233f26a417f39efcc09a6c
Clean dataData
Plots, trees and birds species data. The individual files are within different excel sheets.
Unknown - 34.4 KB - MD5: cb2c02606bde2d8b87b8a8a2f52bc0f6
Data
R Data - 7.3 KB - MD5: 8255eba6afba4e02ccfe30b35783036a
Data
Unknown - 5.7 KB - MD5: 0c7c706f96575b6043795ba8d1cd2601
Data
R Data - 3.4 KB - MD5: 83f2f74f3d2b85bbddf1ebc527238a4f
Data
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