Balancing Forest‐Regeneration Probabilities and Maintenance Costs in Dry Grasslands of High Conservation Priority

Abstract: Abandonment of agricultural land has resulted in forest regeneration in species‐rich dry grasslands across European mountain regions and threatens conservation efforts in this vegetation type. To support national conservation strategies, we used a site‐selection algorithm (MARXAN) to find optimum sets of floristic regions (reporting units) that contain grasslands of high conservation priority. We sought optimum sets that would accommodate 136 important dry‐grassland species and that would minimize forest regeneration and costs of management needed to forestall predicted forest regeneration. We did not consider other conservation elements of dry grasslands, such as animal species richness, cultural heritage, and changes due to climate change. Optimal sets that included 95–100% of the dry grassland species encompassed an average of 56–59 floristic regions (standard deviation, SD 5). This is about 15% of approximately 400 floristic regions that contain dry‐grassland sites and translates to 4800–5300 ha of dry grassland out of a total of approximately 23,000 ha for the entire study area. Projected costs to manage the grasslands in these optimum sets ranged from CHF (Swiss francs) 5.2 to 6.0 million/year. This is only 15–20% of the current total estimated cost of approximately CHF30–45 million/year required if all dry grasslands were to be protected. The grasslands of the optimal sets may be viewed as core sites in a national conservation strategy.     

ESTIMATING THE LOCAL COST OF PROTECTING KOSHI TAPPU WILDLIFE RESERVE, NEPAL: A CONTINGENT VALUATION APPROACH

We estimate the compensation required by the local communities to forego access to the natural resources within the Koshi Tappu Wildlife Reserve (KTWR), Nepal using the contingent valuation method (CVM). In addition to contributing a CVM application from a seldom studied location to the literature, this case illustrates the sensitivity of WTA estimates to the analytical technique adopted. We analyze households’ willingness to accept (WTA) compensation using Tobit and double-hurdle regression models that account for the censored distribution of WTA and nested yes/no decision implicit in the WTA responses. The average WTA of a household residing in the vicinity of KTWR is estimated to be US $238, which amounts to nearly $ 1.64 million for the neighboring region. The results provide a basis to address local people’s concerns in the process of sustainable management of natural resources and wetland ecosystems in KTWR, Nepal.