Habitat Evaluation Procedures. Habitat Evaluation Procedures. Habitat Evaluation Procedures. Habitat Evaluation Procedures

Transcription

1 an enlightened Congre pae conervation legilation Affecting management of fih & ldlife reource NEPA (National Environmental Policy Act ESA Foret & Rangeland Renewable Reource Planning Act Federal Land Policy & Management Act Stimulate federal & tate agencie to change management, thu: imple, rapid, reliable method to determine & predict the pecie and habitat preent on land; expand databae for T/E, rare pecie; 3 Predict effect of variou land ue action USFWS Habitat analyi model Goal = Ae impact at a community level (i.e., pecie repreentative of all habitat being tudied e.g., ue guild of pecie? USFWS Habitat analyi model What i a model? Important point to conider relative to model? What variable hould be meaured and/or included in the model? Single-pecie model a imple correlation model e.g., vegetation type-pecie matrix Specie habitat matrix Single-pecie model b tatitical model i.e., prediction of ditribution and/or abundance What type?

2 Carnivore Habitat Reearch at CMU Carnivore Habitat Reearch at CMU Landcape metric include: Compoition (e.g., proportion cover type Overlay hexagon grid onto landcover map Compare bobcat habitat attribute to population of hexagon core area Configuration (e.g., patch iolation, hape, adjacency Connectivity (e.g., landcape permeability Carnivore Habitat Reearch at CMU p P ij = ( µ ki µ kj / pvk k = Calculate and ue Penroe ditance to meaure imilarity between more bobcat & non-bobcat hexagon Where: population i repreent core area of radio-collared bobcat population j repreent NLP hexagon p i the number of landcape variable evaluated µ i the landcape variable value k i each obervation V i variance for each landcape variable after Manly (5. Variable % ag-openland % low foret % up foret % non-for wetland % tream % tranportation Low for core Mean A per dijunct core Dit ag Dit up for CV nonfor wet A Penroe Model for Michigan Bobcat Mean Vector bobcat hexagon NLP hexagon Carnivore Habitat Reearch at CMU Each hexagon in NLP then receive a Penroe Ditance (PD value Remap NLP uing thee hexagon Determine mean PD for bobcat-occupied hexagon Preu 5 Single-pecie model b tatitical model * modern tatitical modeling & model election technique e.g., logitic regreion & Reource Selection Probability Function (RSF & RSPF for determining amount & dit. of favorable habitat

3 Reource Selection Function (RSF Ciarniello et al. 3 Reource Selection Function Model for grizzly bear habitat landcover type, landcape greenne, dit to road Reource Selection Probability Function (RSPF Mladenoff et al. 995 Reource Selection Probability Function Model for gray wolf habitat road denity Need: Determine ue (e.g., prop. Ue Determine availability (e.g., prop avail. Selection ratio for a given reource category i w i = prop ue / prop avail. If w i =, <, > Selection ratio w i = prop ue / prop avail. w i = (U i /U + / (A i /A + U i = # obervation in habitat type i U + = total # obervation (n A i = # random point in habitat type i A + = total # of random point Ue Look at Neu et al. (974 mooe data = 7 obervation of mooe track thin 4 different vegetation [habitat] type burn (5/7/.34 =

4 Ue Ue burn (5/7/.34 =.68 (/7/. =.86 burn (5/7/.34 =.68 (/7/. = burn Ue (5/7/.34 =.68 (/7/. = Selection ratio Generally tandardize w i to - cale for comparion among habitat type td w i = w i / Σ (w i burn Std.68/5.76 = Single-pecie model c Habitat Suitability Index (HSI model

5 Habitat Suitability Index (HSI Model (ae habitat (phyical & biological attribute for a ldlife pecie, e.g., USFWS - HSI = index value (unit? of how uitable habitat i - = unuitable; = mot uitable - value aumed proportional to K Habitat Suitability Index (HSI include top environmental variable related to a pecie preence, ditribution, & abundance Habitat Suitability Index (HSI Lit of Habitat Suitability Index (HSI model p3/lit_of_habitat_uitability_index_hi_model_p ac.htm e.g., HSI for red-tailed hawk ---- Next time.. Single-pecie model c Habitat Capability (HC model - USFS - decribe habitat condition aociated th or neceary to maintain different population level of a pecie ( compoition Yellow Warbler HSI for different foret condition Three Scale of Diverity A = B = alpha (α diverity thin habitat C = beta (β diverity among habitat D = gamma (γ diverity geographic cale 5

6 Alpha & Gamma Specie Shannon-Wiener Index mot ued - enitive to change in tatu of rare pecie H ' = ( p i (ln p i H = diverity of pecie (range -+ = # of pecie p i = proportion of total ample belonging to ith pecie Alpha & Gamma Specie Shannon-Wiener Index H ' = ( p i (ln p i Alpha & Gamma Specie Simpon Index enitive to change in mot abundant pecie D = D = diverity of pecie (range - = # of pecie p i = proportion of total ample belonging to ith pecie ( p i Alpha & Gamma Specie Simpon Index D = ( p i 6

7 Alpha & Gamma Specie Specie Evenne H ' J = H ' max H max = maximum value of H = ln( Beta Specie Sorenen Coefficient of Community Similarity weight pecie in common S a = S a + b + c S = coefficient of imilarity (range - a = # pecie common to both ample b = # pecie in ample c = # pecie in ample Beta Specie Sorenen Coefficient of Community Similarity Diimilarity = D S = b + c / a + b + c Or. - S Specie Sample Sample Sorenen Coefficient Sample Total occurrence = b = 7 - # joint occurrence = a = 5 Sample Total occurrence = c = 5 - # joint occurrence = a = 5 *a/(a+b+c S = * 5 / =.45 (45% D =.45 =.55 (55% 7