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| Both sides previous revision Previous revision Next revision | Previous revision Next revisionBoth sides next revision | ||
| notes_aare [2018-04-16 11:45] – theunkarelse | notes_aare [2018-04-16 14:24] – theunkarelse | ||
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| === Techniques ordered in sequence: === | === Techniques ordered in sequence: === | ||
| * condensation (water harvesting, shadow) > **out**: pioneering vegetation | * condensation (water harvesting, shadow) > **out**: pioneering vegetation | ||
| - | * ditches (increase geodiversity) > **out**: water retention, erosion, microclimates, | + | * ditches |
| * mucuva: seeding an area with biodiverse mix of local species (increases tree diversity from 160 to over 2000 species per hectare initially and over 5000 after a decade) | * mucuva: seeding an area with biodiverse mix of local species (increases tree diversity from 160 to over 2000 species per hectare initially and over 5000 after a decade) | ||
| * refugia (at large scale) vegetation pockets in the most favourable areas that serve as basecamps to grow from | * refugia (at large scale) vegetation pockets in the most favourable areas that serve as basecamps to grow from | ||
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| * deep rooted | * deep rooted | ||
| * fruit bearing (to attract more life) | * fruit bearing (to attract more life) | ||
| - | * high characteristic return time: rate at which a population | + | * high characteristic return time: rate at which a population |
| * high jump dispersal: can cover long distances over inhospitable habitat in one generation (typically: seeds, insects, birds) | * high jump dispersal: can cover long distances over inhospitable habitat in one generation (typically: seeds, insects, birds) | ||
| * high speciation (allopatric) | * high speciation (allopatric) | ||
| Line 63: | Line 63: | ||
| * low tipping point | * low tipping point | ||
| * low buffering capacity | * low buffering capacity | ||
| + | |||
| + | === Potential locations: === | ||
| + | * [[https:// | ||
| see also: [[environmental_machine_learning]] | see also: [[environmental_machine_learning]] | ||
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