Quantitative methods for defining percentage area targets for habitat types in conservation planning

The Earth’s resources are finite, therefore planning for their use requires the definition of broad goals and the formulation of operational targets derived from goals, that enable decisions to be made and success measured. The objective of this study was to review methods for the formulation of percentage conservation targets for the coverage of habitat types within a network of conservation areas. We reviewed the scope and data requirements of these methods and discussed the strengths and limitations of their application. We identified five groups of methods applicable to habitat types that define: (1) fixed percentage targets across all habitats based on species-area relationship, or habitat-specific targets based on (2) species-area relationship, (3) heuristic principles, (4) trade-off of target size with reserved area, or (5) spatially-explicit Population Viability Analysis (PVA) for selected species. No ideal method exists and two factors should guide the choice of a method: the type of biodiversity goal and data availability. Given the lack of perfect biodiversity data, we suggest the use of a composite target based on a combination of methods.     

Spatial and temporal responses of forest birds to human approaches in a protected area and implications for two management strategies

Little is known about the responses of forest birds, other than raptors, to human disturbance despite their being highly sensitive to habitat disruption. We tested five hypotheses about the spatial and temporal interactions between recreationists and wildlife by using five South American birds as model species. We measured two components of flight distance, horizontal (distance between a visitor and the base of a perching tree) and vertical (distance between the base of a tree and the perch), and estimated the third diagonal component (distance between a visitor and the perch). We found that (a) the relationships between horizontal and vertical components of flight distance were negative (rufus-collared sparrow, golden-billed saltator, chiguanco thrush), positive (spot-winged pigeon), and neutral (bay-winged cowbird), suggesting that different components are used as clues to the proximity of people when birds vacated the perching tree; (b) the distance to the nearest pathway correlated positively with flight distance components of two species (bay-winged cowbird and spot-winged pigeon); and (c) physical structure of the vegetation affected differently flight distances of all species. Interspecific comparisons showed that (d) all flight distance components increased linearly with body size, and (e) species differed in landing distances but not in response duration: large-bodied species tended to land farther than smaller-bodied ones. By implementing buffer zones (areas without access to visitors), spatial restrictions would conflict with recreational activities. We recommend re-distributing (but not restricting) human visitation by varying the number of visitors and area of visitation according to the spatial requirements of differently sized species.     

Flawed population viability analysis can result in misleading population assessment: A case study for wolves in Algonquin park, Canada

For many populations and species, population viability analysis (PVA) plays a critical role in developing defensible conservation strategies and recovery plans. Although technical aspects of PVA have been well scrutinized, misapplication of PVA and misinterpretation of its results have received less attention. To illustrate potential hazards of improper use of PVA we reanalyzed data from a recent study on viability of wolves in Algonquin Provincial Park (APP), Ontario, Canada. The original PVA predicted extirpation of wolves from APP and prompted both a ban on wolf harvesting in a 10-16 km buffer zone surrounding the 7571 km² park and an intensive research program to evaluate efficacy of the ban. Our reanalysis showed that limited and imprecise wolf population density and demographic rate estimates, as well as flawed population assessment and reconstruction methods, led to overly pessimistic evaluation of wolf population status in APP. In fact, our analyses suggest that wolves in APP are unlikely to decline significantly over the next 20 years. Further, contrary to earlier conclusions we suggest that rapid wolf population recovery following protection from human exploitation would be likely and readily detectable. These findings highlight the need for adequate data, appropriate methodology, and proper analytical context when conducting PVA. Because the original PVA prompted substantial redirection of staff and financial resources from other significant conservation initiatives, we conclude that improper PVA may undermine execution of effective wildlife management and ultimately provide a disservice to conservation biology.