An approach to achieve sustainable development goals through participatory land and forest conservation: a case study in South Kalimantan Province,Indonesia

The delivery of sustainable development goals (SDGs) through a participatory land and forest conservation initiative was evaluated in South Kalimantan Province, Indonesia. The initiative focused on the rehabilitation of a 410 ha forest that was managed by local villagers. A forest rehabilitation and management initiative was developed through participatory action, establishing a well-managed rubber plantation that provided new livelihood opportunities. Poverty reduction was promoted, evidenced by a reduction in inequality amongst the local community. Between 2010 and 2018 the Gini coefficient of inequality declined from 34.6% to 31.3%, demonstrating a contribution to SDGs 1 (No Poverty) and 10 (Reduced Inequalities). In addition, forest rehabilitation resulted in improved carbon stock and biodiversity management contributing to SDG15 (Life on Land). This was attributed to successful forest rehabilitation and the reduced incidence of forest fires. Cooperation amongst local villagers categorized as living in poor households was improved, facilitated by capacity building. This focused on rubber plantation management, cooperative action, and firefighting activities. This capacity building contributed to the delivery of SDG 17 (Partnerships for the Goals). Results from a socio-economic survey demonstrated that group activities and cooperation amongst stakeholders were essential to improve both livelihoods and forest management practices.     

Maximally selected two-sample statistics as a new tool for the identification and assessment of habitat factors with an application to breeding-bird communities in oak forests

Near-natural forest management is one of the major principles of modern forestry in central Europe. A measure commonly used for the assessment of logging is the occurrence and density of character species typical for the local biotope. Near-natural forest structures can be designed only when sufficient knowledge about the relationship between species and habitat factors is available. We suggest the use of simple cutpoint regression models for the derivation of statistically valid rules of thumb. The methodology is applied to bird and structure data of ancient and present oak coppices with standards to demonstrate its practical application. The cutpoints are derived from estimates of break points by means of maximally selected two-sample statistics, and their validity is judged by multiple test procedures. Detailed results are presented for character species and their relationships to the environment. We show that, for example, the tree pipit (Anthus trivialis) is missing in stands with more than 40% canopy overstorey, whereas this species can be regularly observed in more open stands. For the tree pipit, the analysis is illustrated by means of a free software package.