Thesis (MTech (Nature Conservation))--Cape Peninsula University of Technology, 2015. / The klipspringer (Oreotragus oreotragus subsp. oreotragus) population became extinct on the Cape Peninsula in 1930. Being re-introduced into Table Mountain National Park (TMNP) in 1999 it became one of the species of special conservation concern to monitor in the Park. Most klipspringer territories are known by Park management but the distribution of all potentially suitable habitats for this species in the Park is not known. The main aim of this study is to produce a distribution range map that is representative of all potentially suitable habitats for the klipspringer within TMNP, through the use of a species distribution modelling tool. Since only presence data were available for this study, a popular presence-only modelling tool namely maximum entropy (MaxEnt) was used. The use of MaxEnt in species distribution modelling has become popular as it has proven to provide robust predictions of a species’ geographic distribution. Klipspringer occurrence data and five environmental variables namely altitude, slope, aspect, vegetation, and distance to urban edge were used as model input. Occurrence data were sourced through existing databases and employing a stratified random sampling technique of dividing the Park into different habitat subtypes to survey the Park for more klipspringer occurrences. These habitat subtypes consisted of a variety of vegetation communities or vegetation types and altitudinal and slope ranges available in the Park. Grid size for all the raster layers used was 10x10 m. Spatial filtering of one point per 100 m² grid was used to eliminate clumping of points. Six models were run at different regularisation multiplier (RM) values namely 0.25, 0.5, default (1), 2, 4 and 7. To assist in better understanding of the spatial extent of the occurrence data and the areas inhabited by the klipspringer, home range analyses were carried out. This was done through kernel density estimation in the Geospatial Modelling Environment (GME). All six bandwidth parameters in GME namely smoothed cross validation (SCV), biased cross-validation (BCV), a second BCV algorithm, plug-in estimator, least squares cross validation and the likelihood cross validation (CVh) were tested. The smoothed cross validation and likelihood cross validation bandwidth algorithms provided the best visual output of klipspringer home ranges and territories. Home range sizes from the SCV output ranged from about 3 – 11 ha across the study area, and home range size for the CVh output ranged from 0.6 – 2.5 ha. The output from the CVh algorithm was interpreted as territories rather than home ranges, as it is based on a univariate kernel unlike, the SCV algorithm that produces rotated bivariate kernels. iv The default regularisation multiplier of 1 provided the best probability distribution output, whilst values lower than the default tended to underestimate the prediction and those values higher than the default were tending towards overestimations. Response curves for the default RM also gave the most ecologically meaningful responses of the klipspringer to each environmental variable. Model evaluation in the form of area under the receiver operating characteristic curve (ROC AUC) showed that all models performed well. Therefore, the choice of the “best” model was based on the ability to provide ecological interpretation, on the shape of the response curve and the probability distribution maps. Consequently, the default RM model was considered the best, with an AUC score of 0.903. Altitude and vegetation contributed the most to suitable habitat and therefore indicates that klipspringer in the Park do prefer high altitudinal areas with the right vegetation to feed on. Suitable altitudinal ranges are from 400 m.a.s.l. and higher and ericaceous fynbos is the most preferred vegetation community. Slope, aspect and distance to urban edge played a less important role in suitable klipspringer habitat. The probability map and an additional binary map produced at the 10 percentile training logistic presence threshold showed that suitable habitat for the klipspringer occurs in all three sections of the Park in different proportions. These maps can be used by Park management to prioritise conservation efforts and future re-introductions. / National Research Foundation

In response to the increasing need for ecosystem services throughout the Southeast Alaska region, decision makers are tasked with balancing the need for natural resources with salmon conservation. However, accurate historical and current information on salmonid population abundance, freshwater distribution, and habitat quality are sparse with limited resolution for large portions of this remote and rugged landscape. Here, I created Intrinsic Potential (IP) models for chum and pink salmon to predict the potential for portions of coastal rivers to provide high-quality spawning habitat. I developed IP models for both species from field redd surveys and synthetic habitat variables derived from 1-m resolution digital elevation models. The surveys were performed at 49 study reaches in five coastal drainage basins on the north end of Chichagof Island, Southeast Alaska. I used a spatially balanced random sampling design that included field surveys for redds during two field seasons with contrasting precipitation patterns and disparate adult salmon escapements. The IP models predict probable spawning habitat for both species based on persistent landform characteristics and hydrologic processes that control the formation and distribution of spawning habitat across the landscape. Selection of persistent reach variables for both species IP models was informed by principal component analysis (PCA), resource selection ratios, random forest modeling, and regression models of field and synthetic variable comparisons. I observed primarily one spawning strategy by chum salmon associated with mainstem channels, and two distinct spawning strategies for pink salmon related to small moderate-gradient channels and tributaries, and lower drainage basin mainstem channels. The relationships suggest that chum and pink salmon primarily selected for unconstrained channel types in large-and small-size channels, with chum salmon being more selective toward the larger mainstem channels, and pink salmon selecting for smaller channels and tributaries. The prediction of chum salmon redd presence within a specific reach for both high and low streamflow regimes was explained by channel gradient, floodplain width, and mean annual flow in order of importance. In general, chum salmon redds were observed in larger unconstrained low-gradient floodplain reaches where accumulation of deposited gravels and adequate flow produce habitat heterogeneity suitable for spawning. Pink salmon redd presence for both survey years was explained by channel gradient, reach elevation, and mean annual flow, in order of importance. Specifically, when flows allowed upstream access, spawning pink salmon utilized smaller moderate-gradient channels where substrate size and flows were better suited to their smaller body size. Remotely sensed persistent fish habitat data is valuable information for helping understand fish population distributions across the landscape. These synthetic metrics enabled the identification and evaluation of persistent landscape features as probable predictors of IP. Validation of LiDAR-derived channel characteristics indicated channel lengths measured from the DEM were 12% longer than field measured channel length, primarily for channels wider than 10 meters. Thus, understanding the limitations of the data is important so that decision makers do not unintentionally set unrealistic objectives. This research highlights the utility of using IP models with high resolution remote sensing to expand known distributions and quality of spawning habitat for these two species in Southeast Alaska coastal streams.

A trait based approach was used to assess impacts of overstory density and thinning on understory vegetation components related to wildlife habitat. The relationship between overstory basal area and understory vegetation for species grouped by traits, such as production of flowers, fleshy-fruit and palatable leaves, was characterized in thinned and unthinned stands at seven Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco) forests in western Oregon six years following harvests. The ranges of overstory densities within thinned and unthinned stands represent gradients of resource availability and thinning disturbance. Lower overstory densities and thinnings were associated with improved ecosystem functions, specifically the provision of wildlife habitat, as evident by higher cover of flowering and fleshy-fruit and palatable leaf producing species. Greater cover of drought, fire and heat tolerant species in low density stands and after thinnings suggested that these ecosystem functions are more likely to be maintained under climate change conditions, indicating higher resilience. The response of specific functions and response types reflect the traits characteristic for each species group and the impact of these traits on sensitivity to resource availability and disturbances. Thus, the correlation between grouping criteria and the main gradients created by management activities can provide an indication of the expected vegetation response, and therefore the impact of management practices on resilience. / Graduation date: 2012

MESHWR / Department of Hydrology and Water Resources / See the attached abstract below