Recovery Plan for the Northern Spotted Owl - DRAFT
Recovery Plan for the Northern Spotted Owl - DRAFT Recovery Plan for the Northern Spotted Owl - DRAFT
the estimate (using the simple equation above and ignoring sampling error)would be 1.002. No one knows the true value for P but 0.7 is reasonableand serves to indicate the potential seriousness of t~his source of error.2. Underestimation of 9YSome birds born in year t, leave the study area but survive until the start ofyear t+ 1. They usually are counted as having died which causes sj, to beunderestimated. The significance of this problem depends on how manyjuveniles emigrate (and survive), which in turn depends on the size of thestudy area, intensity of searches outside the study area, and dispersaldistances. If a proportion of the juveniles, pie, emigrates from the study areabut survives at the same rate as those juveniles that remain within thestudy area, then s is underestimated (aside from sampling error) by pje, andX is underestimated by fSpA.. For example, if 20 percent of the juvenilesleave the study area (Pie = 0.2) and f = -§J = 0.3, then the error is 0.018. Ifthe true X was 1.00, the estimate (aside from sampling error) would be0.982. Detailed studies that would permit estimation of p,, for real studyareas have not yet been carried out.3. Temporary emigration.Population ProjectionsBecause nonterritorial birds are seldom detected, young birds typically"disappear" for a few years and then reappear when they gain territories.The capture probabilities vary in exactly the way they would if the birdstemporarily left the study area and then returned to it as adults. Suchbehavior violates the assumptions of capture-recapture models, and isknown in capture-recapture literature as the problem of "temporary emigration."The problem is complex because its effects on the capture-recaptureestimates are difficult to assess. Balser (1981) showed that emigration bysome juveniles, who return to the study area as adults, causes over-estimationof the juvenile survival rate. The process with spotted owls is somewhatdifferent because the period of temporary emigration (i.e., period duringwhich the birds are nonterritorial) may last a few years into the adult ageclasses. Presumably, however, the behavior causes survival rates, particularlyof juveniles, to be overestimated. As a result, X would also be overestimated.Despite these possible problems, measurement of demographic rates andcalculation of trends from them, offer the only way at present to estimatetrends in the whole population (i.e., both territorial and nonterritorial individuals)within a study area.Use of these methods is illustrated in Appendix C which describes analyses ofdata from five demographic study areas. The studies provided data from 5 to 7years and from approximately 300 to 700 birds. The confidence intervals for Xvaried from approximately 0.04 to 0.09. These levels of precision were sufficientto show that the populations studied were declining, however considerablymore data would be required to detect trends of 2 to 4 percent per year.Various difficulties with the direct counts and demographic analyses as ameans of estimating population trends have been identified earlier in thisappendix. One additional problem with these methods is that they apply onlyto the area and period of time actually monitored. No rigorous basis is providedfor predicting trends in the future or trends that would occur in hypotheticalsituations (e.g., under a proposed management plan). The simplest266
ment of interest (e.g., the entire range). The model contains information aboutthe environment, including the initial location of owls, and a series of rulesgoverning births, deaths, and movements. These rules are used in a stochasticsimulation of births, deaths, and movements during a year. At the end of theyear, the locations of all owls are again recorded, and then they are used forthe second year of the simulation. This process is repeated for as long a periodas the user desires. The model permits up to six cell types, three age classes,and two sexes, with possibly different demographic rates. The rules for movementsby juveniles and adults are flexible and permit simulation of a widevariety of behaviors. Additional details are contained in McKelvey (1991).The Recovery Team convened an advisory committee of biologists to providerecommendations on the use of the landscape model. The committee compileddata of value in determining the parameters required by the model and maderecommendations about certain structural changes. The advisory committeehas not finalized recommendations, but intends to do so during the coming fewmonths. Preliminary recommendations have been developed for habitat-specificproductivity, juvenile survival rates, and adult survival rates for Washingtonand Oregon west of the Pacific crest and north of the Klamath provinces. Themodel appears powerful, flexible, and capable of realistic simulations. Considerablework is needed, however, to make the model operational. The followinginformation is of particular importance:1. Habitat specific productivity and survival.Preliminary estimates are available for portions of the range, but in otherportions we do not have definitions for cell types. The needed informationcould be collected using two general approaches. First, home ranges ofbirds being monitored for productivity and adult survival should be assignedto cell types so that a sample for each type could be obtained. Second,intensive studies of transmittered birds should be made to improve ourunderstanding of habitat types that are used and avoided. Study shouldalso be made of the particular values to owls provided by each stand type.Much work of this sort has been done in western Oregon and Washington,but similar studies are needed (and in some cases are in progress) in environmentseast of the Cascades crest, in California, and in the OregonKlamath province. Habitats of particular interest should be selected forthese studies.2. Effects of habitat on movements by dispersing juveniles.This topic has received little study but is critical for the evaluation of therecommended DCA network. Intensive monitoring of dispersing juveniles isneeded to reveal how their movements and survivorship are affected by theconfiguration of habitat in the landscape they pass through, how widely theysearch for territories during dispersal, whether they settle in the first availableplace, and how far they travel if vacancies are not available. Closemonitoring of a relatively small number of birds (rather than occasionallocation of a larger sample) is needed. Monitoring such a sample of dispersingbirds, and analysis of the habitats and resident owls in their path, wouldprovide a far better basis than we have at present for deciding on the valuesof the movement parameters in the landscape model. Such studies might becarried out in the density areas where the locations of other owls are alreadywell known.3. Behavior of nonterritorial adultsNonterritorial adults may buffer the population against loss of breedingadults if the floaters rapidly fill vacancies (Franklin In Press). At present,267
- Page 232 and 233: continued-TaskPriorityResp. PartyCo
- Page 234 and 235: 218
- Page 236 and 237: 220
- Page 238 and 239: and the number of invertebrate anim
- Page 240 and 241: Table 5.2. Numbers of other species
- Page 242 and 243: Amphibians and Reptiles: Larch Moun
- Page 244 and 245: 228
- Page 246 and 247: 230
- Page 248 and 249: Barrows, C. W. 1980. Feeding ecolog
- Page 250 and 251: Clark, R. J., D. G. Smith, and L. H
- Page 252 and 253: Franklin, A. B., J. A. Blakesley, a
- Page 254 and 255: Harestad, A. S., and F. L. Bunnell.
- Page 256 and 257: Lundquist, R. W. and J. M. Mariani.
- Page 258 and 259: O'Halloran, K. 1989. Spotted owl in
- Page 260 and 261: Solis, D. M. 1980. Habitat use by n
- Page 262 and 263: Young, K. D., A. B. Franklin, and J
- Page 264 and 265: 248
- Page 266 and 267: 250
- Page 268 and 269: Table A.1. General approaches for e
- Page 270 and 271: complete count of the territorial b
- Page 272 and 273: Table A.3. Powera for various desig
- Page 274 and 275: Table A.4. Illustration of a Markov
- Page 276 and 277: Obviously, these statements hold on
- Page 278 and 279: Table A.6. Reliability of trend est
- Page 280 and 281: Demographic AnalysisAs noted earlie
- Page 284 and 285: however, we know little about the b
- Page 286 and 287: Table A.8. Summary of information n
- Page 288 and 289: predict the power achieved by diffe
- Page 290 and 291: Other studiestached. If dispersing
- Page 292 and 293: impractical at present. We describe
- Page 294 and 295: Conclusionsthe year effect can be i
- Page 296 and 297: 280
- Page 298 and 299: 282
- Page 300 and 301: 284
- Page 302 and 303: owls. Consequently, the issue of wh
- Page 304 and 305: Use of the informationAssessments a
- Page 306 and 307: Recent LiteratureWe might begin by
- Page 308 and 309: Kerms (1989) measured habitat struc
- Page 310 and 311: Hamer (pers. comm.) described 11 ne
- Page 312 and 313: Table B.3. Percent hardwoods in the
- Page 314 and 315: Table B.5. Comparison of habitats u
- Page 316 and 317: Table B.8. Tree density (number of
- Page 318 and 319: and numbers of trees, and percent o
- Page 320 and 321: Under this hypothesis, owl fitness
- Page 322 and 323: suitable habitat for that region (m
- Page 324 and 325: ResultsDiscussionspotted owl habita
- Page 326 and 327: __Discussiondata from 41 sites in t
- Page 328 and 329: Recommendations for Future Research
- Page 330 and 331: 314
<strong>the</strong> estimate (using <strong>the</strong> simple equation above and ignoring sampling error)would be 1.002. No one knows <strong>the</strong> true value <strong>for</strong> P but 0.7 is reasonableand serves to indicate <strong>the</strong> potential seriousness of t~his source of error.2. Underestimation of 9YSome birds born in year t, leave <strong>the</strong> study area but survive until <strong>the</strong> start ofyear t+ 1. They usually are counted as having died which causes sj, to beunderestimated. The significance of this problem depends on how manyjuveniles emigrate (and survive), which in turn depends on <strong>the</strong> size of <strong>the</strong>study area, intensity of searches outside <strong>the</strong> study area, and dispersaldistances. If a proportion of <strong>the</strong> juveniles, pie, emigrates from <strong>the</strong> study areabut survives at <strong>the</strong> same rate as those juveniles that remain within <strong>the</strong>study area, <strong>the</strong>n s is underestimated (aside from sampling error) by pje, andX is underestimated by fSpA.. For example, if 20 percent of <strong>the</strong> juvenilesleave <strong>the</strong> study area (Pie = 0.2) and f = -§J = 0.3, <strong>the</strong>n <strong>the</strong> error is 0.018. If<strong>the</strong> true X was 1.00, <strong>the</strong> estimate (aside from sampling error) would be0.982. Detailed studies that would permit estimation of p,, <strong>for</strong> real studyareas have not yet been carried out.3. Temporary emigration.Population ProjectionsBecause nonterritorial birds are seldom detected, young birds typically"disappear" <strong>for</strong> a few years and <strong>the</strong>n reappear when <strong>the</strong>y gain territories.The capture probabilities vary in exactly <strong>the</strong> way <strong>the</strong>y would if <strong>the</strong> birdstemporarily left <strong>the</strong> study area and <strong>the</strong>n returned to it as adults. Suchbehavior violates <strong>the</strong> assumptions of capture-recapture models, and isknown in capture-recapture literature as <strong>the</strong> problem of "temporary emigration."The problem is complex because its effects on <strong>the</strong> capture-recaptureestimates are difficult to assess. Balser (1981) showed that emigration bysome juveniles, who return to <strong>the</strong> study area as adults, causes over-estimationof <strong>the</strong> juvenile survival rate. The process with spotted owls is somewhatdifferent because <strong>the</strong> period of temporary emigration (i.e., period duringwhich <strong>the</strong> birds are nonterritorial) may last a few years into <strong>the</strong> adult ageclasses. Presumably, however, <strong>the</strong> behavior causes survival rates, particularlyof juveniles, to be overestimated. As a result, X would also be overestimated.Despite <strong>the</strong>se possible problems, measurement of demographic rates andcalculation of trends from <strong>the</strong>m, offer <strong>the</strong> only way at present to estimatetrends in <strong>the</strong> whole population (i.e., both territorial and nonterritorial individuals)within a study area.Use of <strong>the</strong>se methods is illustrated in Appendix C which describes analyses ofdata from five demographic study areas. The studies provided data from 5 to 7years and from approximately 300 to 700 birds. The confidence intervals <strong>for</strong> Xvaried from approximately 0.04 to 0.09. These levels of precision were sufficientto show that <strong>the</strong> populations studied were declining, however considerablymore data would be required to detect trends of 2 to 4 percent per year.Various difficulties with <strong>the</strong> direct counts and demographic analyses as ameans of estimating population trends have been identified earlier in thisappendix. One additional problem with <strong>the</strong>se methods is that <strong>the</strong>y apply onlyto <strong>the</strong> area and period of time actually monitored. No rigorous basis is provided<strong>for</strong> predicting trends in <strong>the</strong> future or trends that would occur in hypo<strong>the</strong>ticalsituations (e.g., under a proposed management plan). The simplest266