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by: Sallie Lind PhD


Sallie Lind PhD
GPA 3.84

Kern Ewing

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Kern Ewing
Class Notes
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This 22 page Class Notes was uploaded by Sallie Lind PhD on Wednesday September 9, 2015. The Class Notes belongs to ESRM 479 at University of Washington taught by Kern Ewing in Fall. Since its upload, it has received 19 views. For similar materials see /class/192021/esrm-479-university-of-washington in Environmental Science and Resource Management at University of Washington.

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Date Created: 09/09/15
Plant Materials ESRM 479 Restoration Design Site Assessment Plant Materials Site Conditioning Site Modification Installation Management General Requirements N ative Appropriate for restoration goal to restore wetland prairie etc Will survive site conditions Will be competitive with invasive species Affordable Available when needed Meets requirements for local genotype Basic Questions What species What forms What mix When needed What species Reference site Actual historic inventories General ecosystem species ists Special species to conditi 39 ste Key species that cannot be done without Conditioning goals Create shade Produce organic material Stabilize site Suppress weeds Add vertical structure Modify microclimate Conditioning can be done with few species or with no species What forms Seed Container plants Divisions Rhizomes and bulbs Bare root Live Stakes What mix Trees are usually spaced 6 10 Shrubs 4 Herbaceous 12 24 Mix may be specified by requiring a number of each species based on recommended density per each planting area zone polygon What mix Assembly rules Drivers Passengers Assembly rules say there are filters Abiotic Biotic Propagule availability Priority Guilds When needed Buy itplant it model Go to store Buy plants When needed Collect seedsgrow plant model 1 year 2 years 3 years gt Collect Grow out seeds plants Species around which vegetation is organized Trees Bunchgrasses Rhizomatous wetland plants Sequence in selecting plants Assess site Make decision about species desired Determine availability Decide which to buy collect grow Decide on forms assess budget If collecting and growing determine timing Modify or condition site before planting Make decision about species desired You will plant few species maybe 1020 Initial plantings may be to modify conditions Restoration species selection will include ones that are critical to success of site They may be spp around which the vegetation is organized They may be spp you think will survive They may be conditioners or facilitators They may be llers or biomass providers Species that will survive Snowberry Smallfruited bulrush Oregon ash Douglas fir Conditioners or facilitators Red alder grows fast Wiows produce dense shade Fillers produce ground cover Sword fern Oregon grape Example Plant material plant selection Functional Requirements Must be key species Must survive Must be available Mustgrow fast make DP Use spp ABDetc FR2 Most species should be available as bare root Spp B and others should allow planting flexibility Constraints Cannot be nonnative Must be local genotype Cannot exceed budget 02 Nursery supply Time of year Availability of spp as bare root Example Coastal wetland om ecies Successional complexity Invasives Forms Availability Genetics Common species Carex lyngbyei Lyngby39s sedge Schoenoplecfus acutus So stem bulrush Eleocharis palustris Spike u h Schoenoplecfus ma r s ritimus Coastal bulrush Schoenoplecfus pungens Threesquare bu ru sh rvmmm Successional complexity No succession Species sort out along salinity and elevation gradients Drivers are CareX lyngbyei in upper intertidal and three square bulrush in middle intertidal lnvasives Few Spartina alternifora and S townsendii in some bays Mm anemmm Forms Generally sold bare root as divisions Availability Available from wetland nurseries many are in Oregon Genetics Systems are very open and outcrossed The same species are often found all along coasts in the Northern Hemisphere Decision Making in by Design Step one know your choices These are the ings you are choosing amon Perhaps generate from brainstorming You probabl w reen your stito get to anageable numbe I once an analysis of over 100 choices in a new internal combustion design Example Write down some possible ways for Jim F to get to work in the morning Wa owItZvanEwbyug MotroWwthvthaormud Ri erwa wmdentymrdow Drawwhy mar Rwlewathwmu W mm W Activity Decision making process and documentation approach Example Write down some possible ways for Jim F to get to work in the morning 39 045 at L rn 59 39 1417 Lu u 4 th Activity Write down five possible approaches you could employ to exclude cattle from vernal pools 39 allNi phatk loebJ wk 41 u h m i nd a J ule U u 4i our Activity an aside The options are candidate DPs Do you ee why Do you realize that the options you just wrote are probably methods If you had instead spec d an exclusion condition it would be an outcome but you spec how to do something so it s a method Step two establish the criteria These are the criteria that you will use to judge the relative merit of your possible choices Again perhaps generate from brainstorming They needn t be of equal importance Don t leave out important considerations cool factor costs e Icacy Example Write down some criteria to use for making choices for Jim s commute TN AJ Cn l 73M rst I v3 39 an5A 54 u on 39 Lav shin Example Write down some criteria to use for making choices for Jim s commute rmwwyt Tomlrwmqwm RWyMgmmgtzrwwkmfw Lowytrm oppwtmngwtmwwom rway oppwtmyurgwtwhmwwwkW CWtawwmgpro yymalmwp 71methngan Immmm wwmgmmam Write down criteria to use for making choices among the cattle exclusion approaches write 35 now I duh on M Milena arcA 1 L4 eu cst fWJ A 6H amp4 39 Suggestion junk atthe FR and Cs that yuu fuund m the reading AWW another aside Your design decision criteria should come directly from your FRs and Cs if they don t you ve either a forgotten something or b made something up Right now look over your criteria and make adjustment if necessary Step Three Establish a grading scale for each of the criteria 10 Ideal 4 Tolerable 9 Excellent 3 Poor 8 Very good 2 Very poor 7 Good 1 Inadequate 6 Satisfactory 0 Useless 5 Adequate quotYDU sheulu dEVISE a scalethatvvurksfuryuu w JLF usually uses flVE ell SIX uetlhltlehs ahu lnterpulates between them 77 DEVISE StrlEI uetlhltlehs tell eaeh ehteheh 77 Research tel eel the Evaluatlun ls putantlally EXpEnSlVE 77 Can use prubabllltles tel EXamlrlE pusslble euteemes ahethelteple Example using the criteria for Jim s commute Totaldallycost Rellabllltyfol gettll lgtowol kol ltlme r lEIEI rI 7 7 el smatunceaquamerr e Over5 per day7 7 Late merethah ehee a Weexi Total tlme requll emel lt LOW Stres e UndErZDmlnutES 5 r Itwuuld be a pmblem e Establish a grading scale for each ofthe criteria in your cattle exclusion problem 10 Ideal 4 Tolerable 9 Excellent 3 Poor 8 Very good 2 Very poor 7 Good 1 Inadequate 6 Satisfactory 0 Useless 5 Adequate The ID pelht seale abuve ls ah Example EIan Perhaps eel EIan Wu ur three ehteha rlght nuvv Step Four Set up a decision matrix Optlurls Drlve car Tutal dally eelst Lqu stre ss Actlvlty Set up your cattle exclusion decision matrix Optlurls Actlvlty Will all criteria be equally important YES reasons No reasons Actlvlty Step Five scale the criteria using numerical weighting factors Raw Scorequot X Weighting Factor Weighted Score Assigning weighting factors can be challenging 7 Understanding the real importance 7 KHOWH TQ irtnere are riorirstarters or deal killers at C 5 theri tell rne again how c can be rnure impurtarit than A7 Temptation to cheat Assigning the Weighting Factors Make weighting factors add to unity Use categories so only working with 13 at a time criteria trees Do pairwise checks Formal consistency checking Analytical Hierarch Process Don t cheat b ant g Step Six Add weighting factors to your decision matrix Optiuris Drive car Tutaldaily oust l Lqu stress 1 TOTAL 1 El Add weighting factors to your cattle exclusion decision matrix Optiuris TOTAL 1 El Activity Step Seven Sum your weighted decision matrix Optiuns Walk Witn Criteria WF Kerri DWE Ear Tutaldaily oust 75 5 1 lt 6quot 7 5 i Luvy Stress 25 LOX JA TOTAL to 0 Sum your cattle exclusion decision matrix Optiuris TOTAL 1 El Activity 0 0th Why this isn t used more Reluctance to take the time to do it formal decision analysis right Possible lack of precision possible overkill Nonlinearity and coupling of criteria Not wanting to have to explain why you are recommending against your own analysis Perception that its inherently dishonest er Why it s a good idea to use it Documents the decision process Transparency Leads to discovery of missed or ignored FRs and Cs Helps with nonmonetary aspects of decisions Leads to discovery of inexplicable often designer s preferences Encourages prioritized research slust a uni though so don t use itvvhen itisn r appropriate


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