home.social

#landuse — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #landuse, aggregated by home.social.

  1. "Data centers represent 27% of development sites in the U.S. this year. It’s the second-highest category after apartment buildings..."

    Land prices are up 79% from last year.

    And "home builders cannot bid in that market, because a builder’s land budget is capped by what home buyers can afford. A data center operator faces no such constraint. The result is ... no homes at all."

    #USA #AI #DataCenters #LandUse #housing #farming
    ---
    cnbc.com/2026/09/06/ai-data-ce

  2. "Data centers represent 27% of development sites in the U.S. this year. It’s the second-highest category after apartment buildings..."

    Land prices are up 79% from last year.

    And "home builders cannot bid in that market, because a builder’s land budget is capped by what home buyers can afford. A data center operator faces no such constraint. The result is ... no homes at all."


    ---
    cnbc.com/2026/09/06/ai-data-ce

  3. "Data centers represent 27% of development sites in the U.S. this year. It’s the second-highest category after apartment buildings..."

    Land prices are up 79% from last year.

    And "home builders cannot bid in that market, because a builder’s land budget is capped by what home buyers can afford. A data center operator faces no such constraint. The result is ... no homes at all."

    #USA #AI #DataCenters #LandUse #housing #farming
    ---
    cnbc.com/2026/09/06/ai-data-ce

  4. "Data centers represent 27% of development sites in the U.S. this year. It’s the second-highest category after apartment buildings..."

    Land prices are up 79% from last year.

    And "home builders cannot bid in that market, because a builder’s land budget is capped by what home buyers can afford. A data center operator faces no such constraint. The result is ... no homes at all."

    #USA #AI #DataCenters #LandUse #housing #farming
    ---
    cnbc.com/2026/09/06/ai-data-ce

  5. "Data centers represent 27% of development sites in the U.S. this year. It’s the second-highest category after apartment buildings..."

    Land prices are up 79% from last year.

    And "home builders cannot bid in that market, because a builder’s land budget is capped by what home buyers can afford. A data center operator faces no such constraint. The result is ... no homes at all."

    #USA #AI #DataCenters #LandUse #housing #farming
    ---
    cnbc.com/2026/09/06/ai-data-ce

  6. Busy Beavers - The Turbidity Signature Of Ecosystem Engineers At Work
    --
    doi.org/10.1002/hyp.70661 <-- shared paper
    --
    H/T @alan Puttock
    “Beavers are the quintessential ecosystem engineers. In slow-flowing streams, they create complex wetlands with ponds by building dams and canals that can positively impact biodiversity, hydrology and water quality. These activities can interchangeably capture or release sediment along the watercourse. To date this has not been quantified at the resolution of rainfall events or beaver activity. This study used 15-min frequency, sustained monitoring upstream and downstream of a newly establishing beaver wetland to measure episodic changes in water turbidity at an event resolution. Monitoring showed no significant differences between upstream and downstream turbidity over 160 days when the first pair of beavers, known not to be building dams or canals, were resident. Shortly after introduction of another beaver pair, however, dam building, burrows and canal excavations were quickly observed, resulting in the creation of a complex beaver wetland between 2021 and 2024. Monitoring over 375 days during this period showed significant differences. Downstream turbidity was significantly higher overall than upstream: 13.1 Nephelometric Turbidity Units (NTU) compared to 4.2 NTU. Stochastic spikes in downstream turbidity during the study period not recorded upstream were associated with dam building and burrowing. Overall, there was no significant difference in turbidity loads, which was at least partially explained by a reduction in discharge downstream, particularly in higher flows, during the dam building period. This demonstrates a complex system with the trapping of influent sediment, the storing of water and the periodic release of beaver wetland sediment leading to net balance in loads. These results help provide context for other studies which have used temporally discrete sampling campaigns rather than continuous high-frequency monitoring. They provide a unique insight into the downstream impacts of a rapidly developing beaver wetland over its first three and a half years in a landscape that hasn't had beavers for over 400 years…"
    #hydromorphic #water #hydrology #dam #beaverdam #waterquality #biodiversity #ecology #benefits #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #EnvironmentalScience #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #floodmanagement #FloodMitigation #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #valleysreborn #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #monitoring #spatialanalysis #spatiotemporal

  7. #Siskiyou County could retire large water well on #MountShasta instead of approving #AIDataCenter

    The inland #NorthernCalifornia site at the edge of town was former Coca Cola bottling plant, sold then expanded to produce flavored drinks, that market shrinking so now sold again.

    ijpr.org/environment-energy-an

    #Landuse #Water #AIDataCenters

  8. Mapping Multifunctionality In Remote Patagonian Forest Landscapes Reveals High-Value Ecosystems Beyond Protected Areas
    --
    doi.org/10.1038/s43247-026-035 <-- shared paper
    --
    H/T @Peter Potapov | Researcher at the World Resources Institute (WRI)
    “This paper is] a strong example of multifunctionality analysis applied to conservation planning. The study mapped six ecosystem functions, including carbon storage, nutrient availability, water regulation, erosion control, habitat quality, and ecological connectivity. [The author] combined satellite data, field soil sampling, and spatial modeling for this comprehensive analysis.
    Two findings stand out.
    1. Old-growth forests had the highest multifunctionality index of any land cover type.
    2. 78.5% of the top multifunctionality hotspots fall outside the region's protected areas, even though PAs already cover more than 54% of the territory.
    Together, these results make a clear case for expanding conservation of the remaining Intact Forest Landscapes and primary forests in Patagonia and elsewhere…”
    --
    “Remote forest landscapes provide critical references for understanding ecosystem functions (EFs) under low anthropogenic pressure, yet their capacity to sustain multiple EFs simultaneously remains poorly understood. [They] assessed landscape multifunctionality in western Patagonia by integrating satellite indicators, field data, and spatial modeling. Six EFs (carbon storage, nutrient availability, water regulation, erosion control, habitat quality, and ecological connectivity) were mapped, and their spatial relationships and hotspot distribution within and outside protected areas (PAs) were analyzed. Old-growth and secondary forests showed the highest functional performance. Strong synergies (ρ ≥ 0.6) between carbon storage and nutrient availability covered >50% of the landscape, whereas strong trade-offs (ρ ≤ –0.6) were spatially limited ( < 6%). Notably, 78% of multifunctionality hotspots occurred outside PAs, indicating that high-functional-value areas extend beyond formal conservation boundaries. These findings reveal spatial mismatches between multifunctionality and protection status and provide a replicable framework for integrating multifunctionality into conservation planning under global change…”
    #Patagonia #chile #aysen #coyhaique #landcover #mapping #spatial #spatialpatterns #spatiotemporal #spatialanalysis #forest #vegetation #oldgrowth #secondgrowth #shrubland #grassland #steppe #ecosystem #habitat #nutrients #water #hydrology #erosion #multifunctionality #multifunctionalityanalysis #protectedareas #landuse #conservationplanning #conservation #ecology #carbonstorage #nutrientavailability #waterregulation #erosioncontrol #habitatquality #ecologicalconnectivity #remotesensing #satellite #earthobservation #modeling

  9. Eager Beavers - Rodents Engineer Czech Wetland Project After Years Of Human Delay [ecosystem engineers]
    --
    theguardian.com/world/2025/feb <-- shared technical media article
    --
    en.wikipedia.org/wiki/Beaver-e <-- shared wiki technical page
    --
    phys.org/news/2025-02-fine-bea <-- shared technical article
    --
    youtu.be/GSTw8qmBP4Y?si=XK2Iy2 <-- shared video (Czech)
    --
    H/T @ScienceGirl
    "We don't expect any conflict with the beaver in the next 10 years," ~ Bohumil Fiser from the Czech Nature Conservation Agency
    --
    “For seven years, planners struggled to complete a $1.2 million wetland restoration project in the Brdy region of the Czech Republic. The goal was to build a dam that would improve water management and bring back valuable wetland habitat, but the project remained trapped in a maze of permits and approvals.
    Then a family of eight Eurasian beavers did what engineers had planned… without permits, machinery, or a budget.
    The beavers built a network of dams in almost the exact area chosen for the proposed project, naturally restoring the wetland system officials had spent years trying to create. After seeing the results, authorities decided there was little point continuing with the original human-built dam.
    Although some reports suggested the beavers completed the work overnight, experts say their construction likely took several weeks. The reason it seemed sudden is that the animals quietly worked away until their finished dams became impossible to miss.
    Beavers are known as “ecosystem engineers” because their behaviour can reshape entire environments. By cutting trees and blocking streams, they create ponds and wetlands that support countless species, including fish, amphibians, insects, birds, and mammals.
    Their wetlands also act as natural water reservoirs, helping during droughts, reducing flood risks, filtering water, storing carbon, and keeping landscapes wetter during wildfires…
    Once heavily hunted across Europe, beaver populations have been recovering thanks to conservation efforts, proving that sometimes nature can solve problems humans spend years trying to fix…"
    #water #hydrology #KlabavaRiver #Czech #BrdyRegion #protected #CzechRepublic #armytraining #military #beaver #Eurasianbeavers #dam #beaverdam #waterquality #restoration #biodiversity #crayfish #wetland #ecology #benefits #Beavers #NatureBasedSolutions #Wetlands #Ecology #Biodiversity #Agroforestry #EnvironmentalScience #Conservation #Wildlife #Ecosystem #bioviversity #conservation #restoration #landscaperecovery #EcosystemEngineers #nature #floodmanagement #FloodMitigation #flood #flooding #energy #floodrisk #sustainability #wetlands #hydrography #dams #impoundment #deadwood #waterresources #landscapeengineer #agriculture #benefits #vegetation #ecology #ecosystem #riversystemsstabilisation #naturalwaterregulation #resilience #drought #wildfire #valleysreborn #slowdetermination #fisheries #invertebrates #extremeweather #floodflows #sediment #baseflow #drought #landmanagement #naturalsystems #landuse #ecosystemengineers #watermanagement

  10. Legacy of #Indigenous #stewardship of #camas dates back more than 3,500 years, #OSU study finds

    May 20, 2024

    Excerpt: CORVALLIS, Ore. — "An #Oregon State University study found evidence that Indigenous groups in the #PacificNorthwest were intentionally harvesting edible #CamasBulbs at optimal stages of the plant’s maturation as far back as 3,500 years ago.

    "The findings contribute to the growing body of research around #TraditionalEcologicalKnowledge and practices, demonstrating the care and specificity with which Indigenous groups have been stewarding and cultivating natural resources for millennia.

    "Camas is an #ecological and cultural keystone, meaning it is a species that many other organisms depend on and that features prominently within many cultural practices.

    " 'If you think about #salmon as being a charismatic species that people are very familiar with, camas is kind of the plant equivalent,' said Molly Carney, an assistant professor of anthropology in OSU’s College of Liberal Arts and lead author on the study. 'It is one of those species that really holds up greater #ecosystems, a fundamental species which everything is related to.'

    "An eye-catching blue flower that grows widely throughout the Pacific Northwest, camas is referred to in Indigenous calendars across the region, with the plant’s growth stages used as a sort of seasonal benchmark. It is often included in traditional #FirstFood ceremonies, in which tribal communities mark the coming of spring with the first #SalmonRun or the first #EdibleRoots after a long winter, Carney said.

    "Camas bulbs must be baked for two to three days to render them edible. Once soft, the bulbs taste a bit like sweet potato, Carney said. Traditional baking was done in underground ovens using heated rocks."

    Read more:
    news.oregonstate.edu/news/lega

    #SolarPunkSunday #LandUse
    #IndigenousFoods #CulturalPreservation
    #NativeAmericanHistory #IndigenousStewardship #IndigenousHistory #TraditionalFoods
    #TraditionalFoodSources #KeystoneSpecies #PNW #TEK

  11. Longest commercial airport runways of the Nordic region

    Source: encyclopediabritannica.com

    Listed below are the longest commercial airport runways in the Nordic Region of Europe. A minimum runway length of 8,000 feet (2,438.4 m) was required for inclusion. As can be seen, runways of 8,202 feet in length are very common with nine such runways. As far as distribution by nation, the data is as follows:

    • Finland = 18
    • Norway = 13
    • Sweden = 13
    • Denmark = 9
    • Iceland = 2
    • Greenland = 1
    • Svalbard = 1
    • Faroe Islands = 0
    • Åland Islands = 0
    • Jan Mayen Island = 0

    Peace!

    _______

    1. Runway 1L/19R: Oslo Airport/Gardermoen, Norway = 11,811 feet

    2. Runway 4L/22R: Copenhagen Airport/Kastrup, Denmark = 11,810 feet

    3. Runway 4R/22L: Helsinki-Vantaa Airport, Finland = 11,483 feet

    4. Runway 14/32: Luleå Airport, Sweden = 10,990 feet

    5. Runway 1L/19R: Stockholm Arlanda Airport, Sweden = 10,830 feet

    6. Runway 4R/22L: Copenhagen Airport/Kastrup, Denmark = 10,827 feet

    7. Runway 3/21: Göteborg Landvetter Airport, Sweden = 10,826 feet

    8. Runway 1/19: Örebro Airport, Sweden = 10,728 feet

    9. Runway 9/27: Billund Airport, Denmark = 10,172 feet

    10. Runway 10/28: Keflavík International Airport, Iceland = 10,056 feet

    11. Runway 4L/22R: Helsinki-Vantaa Airport, Finland = 10.039 feet

    12. Runway 1/19: Keflavík International Airport, Iceland = 10,020 feet

    13. Runway 3/21: Rovaniemi Airport, Finland = 9,849 feet

    14. Runway 9/27: Trondheim Airport, Norway = 9,839 feet

    15. Runway 17/35: Bergen Airport/Flesland, Norway = 9,810 feet

    16. Runway 18/36: Sandefjord Airport/Torp, Norway = 9,806 feet

    17. Runway 1R/19L: Oslo Airport/Gardermoen, Norway = 9,678 feet

    18. Runway 15/33: Helsinki-Vantaa Airport, Finland = 9,518 feet

    19. Runway 8/26: Stockholm Skavsta Airport, Sweden = 9,442 feet

    20. Runway 9/27: Kangerlussuaq Airport: Greenland = 9,219 feet

    21. Runway 17/35: Harstad/Narvik Airport, Norway = 9,213 feet

    22-24. Runway 17/35: Malmö Airport, Sweden; Runway 12/30: Copehagen Airport/Kastrup, Denmark; and Runway 15/33: Kuopio Airport, Finland = 9,186 feet each

    25. Runway 7/25: Bodø Airport, Norway = 9,187 feet

    26. Runway 17/35: Lakselv Airport, Norway = 9,147 feet

    27. Runway 10L/28R: Aarhus Airport, Denmark = 9,110 feet

    28. Runway 15/33: Ørland Airport, Norway = 8,904 feet

    29. Runway 10R/28L: Aarhus Airport, Denmark = 8,864 feet

    30. Runway 6/24: Tampere–Pirkkala Airport, Finland = 8,858 feet

    31. Runway 8L/26R: Aalborg Airport, Denmark = 8,707 feet

    32. Runway 12/30: Jyväskylä Airport, Finland = 8,533 feet

    33. Runway 1/19: Stockholm Västerås Airport, Sweden = 8,468 feet

    34. Runway 18/36: Stavanger Airport, Norway = 8,386 feet

    35. Runway 8R/26L: Aalborg Airport, Denmark = 8,363 feet

    36. Runway 8/26: Esbjerg Airport, Denmark = 8,257 feet

    37. Runway 3/21: Karlstad Airport, Sweden = 8,255 feet

    38. Runway 18/36: Kemi-Tornio Airport, Finland = 8,212 feet

    39. Runway 3/21: Kiruna Airport, Sweden = 8,208 feet

    40. Runway 12/30: Oulu Airport, Finland = 8,203 feet

    41-50. Runways 1R/19L and 8/26: Stockholm Arlanda Airport, Sweden; Runway 15/33: Sälen/Scandinavian Mountains Airport, Sweden; Runway 12/30: Åre Östersund Airport, Sweden; Runway 10/28: Joensuu Airport, Finland; Runway 16/34: Kittilä Airport, Finland; Runway 1/19: Kokkola-Pietarsaari Airport, Finland; Runway 6/24: Lappeenranta Airport, Finland; Runway 8/26: Turku Airport, Finland; and Runway 16/34: Vaasa Airport, Finland = 8,202 feet each

    51-52. Runway 4/22: Ivalo Airport, Finland and Runway 7/25: Kajaani Airport, Finland = 8,199 feet each

    53. Runway 10/28: Svalbard Airport, Svalbard = 8,146 feet

    54. Runway 14/32: Andøya Airport, Norway = 8,097 feet

    55. Runway 12/30: Kuusamo Airport, Finland = 8,071 feet

    56. Runway 10/28: Stavanger Airport, Norway = 8,035 feet

    57. Runway 10/28: Bardufoss Airport, Norway = 8,015 feet

    SOURCES:

    #airports #Arctic #aviation #cities #geography #landUse #Nordic #runways #Scandanavia #tourism #transportation #travel
  12. Provisional Land Use Data From Water Year 2024 Is Now Available On [CA]DWR Atlas, CNRA Open Data, And SGMA Data Viewer For Public Use
    --
    gis.water.ca.gov/app/CADWRLand <-- shared web-based CDWR datasets / map
    --
    “The collected data is used by various federal, state, and local agencies, academic researchers and private consultants , and can help estimate the amount of water available for agriculture. Using this information, farmers can adapt and make decisions to better manage scarce water supplies more effectively.”
    #GIS #spatial #mapping #California #download #opendata #water #hydrology #datause #datasharing #download #landuse #spatialanalysis #spatiotemporal #wateryear #DWRAtlas #statewide #CNRA #SGMA #publicdata #publicgood #usecase #crops #croplands #cropmapping #counties #countysurvey #CADWR #DWR #groundwater #irrigation #wateruse #watermanagement #federal #state #local #webmapping #agriculture #watersecurity #foodsecurity #watersupply
    #CaliforniaDepartmentOfWaterResources