Share to: share facebook share twitter share wa share telegram print page

Tree credits

Tree credits is concept of community-based agroforestry whereby a tree planter or caretaker's climate services are rewarded. The system has been developed in response to the need for a simple way to get carbon credits to the individual planter with a minimum of overheads, and to simplify implementation and monitoring of such projects by using for-profit methods, much like microfinance.

Tree credit systems have been incorporated into stormwater management programs for development sites at local, state and national levels. Calculation methods vary, but all programs encourage the preservation of existing trees as well as planting of new trees at these sites as a method to reduce stormwater runoff.[1] Many of these systems assess the benefit of individual trees, but additional interest is growing for ways to assess the benefits of cumulative tree cover over entire sites. These credit systems aim to quantify the services provided by trees to treat stormwater and preserve water quality, air quality, and carbon sequestration.[2][3] The credits allow site designers to subtract area from total site area or impervious area when calculating water quality volume (WQv) and/or recharge volume (REv). Credits are not calculated consistently across these systems due to the fact that tree benefits can vary with size, species, climate, site etc. Two common types of credit are impervious surface reduction and volume reduction. [4]

Impervious Surface Reduction Credit

Impervious surface reduction is the most common credit where sites are credited with an impervious surface area reduction per tree. These credits are determined by type of tree (evergreen, deciduous) with greater credit for evergreen trees and whether it is an existing or new tree (100-200 ft^2 for new trees or ½ of canopy area of existing trees).[5] For a given site there is usually a maximum total tree credit awarded of 25% of the total impervious surface. To ensure there is a runoff reduction, there is often an eligibility requirement for trees within a specific distance of existing impervious surfaces (10-25 ft) to get credit.[6] Other eligibility criteria might include tree species, size or design. These types of credits have been implemented over various municipalities across the U.S. (OR, CA, IN, WA, PA, TX) within the last 20 years.[4]

Volume Reduction Credit

Another credit system involves trees credited for a runoff volume reduction based on retention value individual trees. In some areas, greater volume reduction credit is awarded for preserved trees over planted trees (20 ft^3 for preserved trees, 10 ft^3 for planted trees)[7] while in other areas credits can instead be determined based on size with trees (10 gal/inch for trees under 12” DBH, 20 gal/inch for trees over 12” DBH)[8] (for example, Washington DC, GA, VT). Additional factors that can affect the amount of credit awarded are soil volume and tree canopy to assess stormwater benefits.[4]

History

Tree credits have been calculated as stormwater credits,[9] and using a tree carbon calculator.[10]

A tree credits system using cryptocurrency was developed by Ferdinand Swart.[11]

Several community tree plantings were designed or influenced by tree credits methods (OARM, PSA, GPS).[citation needed] The Indian state of Karnataka introduced plans for tree credits in 2016.[12]

See also

References

  1. ^ "Calculating credits for tree trenches and tree boxes - Minnesota Stormwater Manual". stormwater.pca.state.mn.us. Retrieved 2021-04-06.
  2. ^ "Document Display (PURL) | NSCEP | US EPA". nepis.epa.gov. Retrieved 2021-04-06.
  3. ^ "Tree Credit Systems and Incentives at the Watershed Scale | Vermont Urban and Community Forestry". vtcommunityforestry.org. Archived from the original on 2022-05-12. Retrieved 2021-03-24.
  4. ^ a b c "Tree Credit Systems and Incentives at the Site Scale | Vermont Urban and Community Forestry". vtcommunityforestry.org. Archived from the original on 2022-05-11. Retrieved 2021-03-24.
  5. ^ "Sacramento Stormwater Quality Partnership". www.beriverfriendly.net. Archived from the original on 2022-01-20. Retrieved 2021-04-06.
  6. ^ "2020 Stormwater Management Manual". Portland.gov. Retrieved 2021-04-06.
  7. ^ "Stormwater Retention Credit Trading Program | ddoe". doee.dc.gov. Retrieved 2021-04-06.
  8. ^ "Welcome pinelakega.com - BlueHost.com". pinelakega.com. Retrieved 2021-04-06.
  9. ^ Marritz, Leda (March 25, 2013). "How Do You Calculate Stormwater Credits for Trees? Part 1: Why tree-based credits are hard to quantify". Deeproot, Green Infrastructure for Your Community. Retrieved 2019-09-24.
  10. ^ "Risk and returns of selling trees for carbon credits". FutureBeef. October 30, 2017. Retrieved 2019-09-24.
  11. ^ "Resources". Treecoins. 2017-11-01. Archived from the original on 2019-09-24. Retrieved 2019-09-24.
  12. ^ Jain, Bhavika (Sep 25, 2016). "Tree plantation: Grow money! 'Tree credits' set to be reality | Mumbai News - Times of India". The Times of India. Retrieved 2019-09-24.
Index: pl ar de en es fr it arz nl ja pt ceb sv uk vi war zh ru af ast az bg zh-min-nan bn be ca cs cy da et el eo eu fa gl ko hi hr id he ka la lv lt hu mk ms min no nn ce uz kk ro simple sk sl sr sh fi ta tt th tg azb tr ur zh-yue hy my ace als am an hyw ban bjn map-bms ba be-tarask bcl bpy bar bs br cv nv eml hif fo fy ga gd gu hak ha hsb io ig ilo ia ie os is jv kn ht ku ckb ky mrj lb lij li lmo mai mg ml zh-classical mr xmf mzn cdo mn nap new ne frr oc mhr or as pa pnb ps pms nds crh qu sa sah sco sq scn si sd szl su sw tl shn te bug vec vo wa wuu yi yo diq bat-smg zu lad kbd ang smn ab roa-rup frp arc gn av ay bh bi bo bxr cbk-zam co za dag ary se pdc dv dsb myv ext fur gv gag inh ki glk gan guw xal haw rw kbp pam csb kw km kv koi kg gom ks gcr lo lbe ltg lez nia ln jbo lg mt mi tw mwl mdf mnw nqo fj nah na nds-nl nrm nov om pi pag pap pfl pcd krc kaa ksh rm rue sm sat sc trv stq nso sn cu so srn kab roa-tara tet tpi to chr tum tk tyv udm ug vep fiu-vro vls wo xh zea ty ak bm ch ny ee ff got iu ik kl mad cr pih ami pwn pnt dz rmy rn sg st tn ss ti din chy ts kcg ve 
Prefix: a b c d e f g h i j k l m n o p q r s t u v w x y z 0 1 2 3 4 5 6 7 8 9 
Kembali kehalaman sebelumnya