The Importance of Conserving Biodiversity Outside of Protected Areas in Mediterranean Ecosystems

Mediterranean-type ecosystems constitute one of the rarest terrestrial biomes and yet they are extraordinarily biodiverse. Home to over 250 million people, the five regions where these ecosystems are found have climate and coastal conditions that make them highly desirable human habitats. The current conservation landscape does not reflect the mediterranean biome's rarity and its importance for plant endemism. Habitat conversion will clearly outpace expansion of formal protected-area networks, and conservationists must augment this traditional strategy with new approaches to sustain the mediterranean biota. Using regional scale datasets, we determine the area of land in each of the five regions that is protected, converted (e.g., to urban or industrial), impacted (e.g., intensive, cultivated agriculture), or lands that we consider to have conservation potential. The latter are natural and semi-natural lands that are unprotected (e.g., private range lands) but sustain numerous native species and associated habitats. Chile has the greatest proportion of its land (75%) in this category and California-Mexico the least (48%). To illustrate the potential for achieving mediterranean biodiversity conservation on these lands, we use species-area curves generated from ecoregion scale data on native plant species richness and vertebrate species richness. For example, if biodiversity could be sustained on even 25% of existing unprotected, natural and semi-natural lands, we estimate that the habitat of more than 6,000 species could be represented. This analysis suggests that if unprotected natural and semi-natural lands are managed in a manner that allows for persistence of native species, we can realize significant additional biodiversity gains. Lasting biodiversity protection at the scale needed requires unprecedented collaboration among stakeholders to promote conservation both inside and outside of traditional protected areas, including on lands where people live and work

The links between self-determined motivations and behavioral automaticity in a variety of real-life behaviors

The different motivations postulated by the Self-Determination Theory have proved to be meaningful to predict the level of engagement in a wide variety of life domains. The present research examines the relation between the different forms of self-determined motivation and behavioral automaticity of 12 behaviors associated with different life domains. Following 1743 measurements of self-determination (using a short version of the situational motivational scale, SIMS8), behavioral automaticity (using the self-reported behavioral automaticity index, SRBAI), and behavioral frequency (self-reported number of executions in a unit of time) for 12 various common behaviors collected on 315 young adults ( Mage = 20.60 ± 2.87 years) through an online survey, the results of crossed linear mixed models indicated that self-determined motivations are more associated with behavioral automaticity than nonself- determined motivations (intrinsic motivation: β = 0.13, p < .001, identified extrinsic motivation: β = 0.13, p < .001; external extrinsic motivation : β = 0.08, p < .001; amotivation: β = 0.02, p = .433). Furthermore, self-determination played a moderating role between the repetition of behaviors and behavioral automaticity (β = 0.06, p < .002) suggesting that self-determination facilitated automatization,as high level of behavioral automaticity was achieved with less frequent behaviors when behaviors were performed for highly self-determined (β = 0.41, p < .001) than weakly self-determined reasons (β = 0.29, p < .001). The applications of these findings for learning and habit formation are discussed