Targeting global conservation funding to limit immediate biodiversity declines

Abstract

Inadequate funding levels are a major impediment to effective global biodiversity conservation and are likely associated with recent failures to meet United Nations biodiversity targets. Some countries are more severely underfunded than others and therefore represent urgent financial priorities. However, attempts to identify these highly underfunded countries have been hampered for decades by poor and incomplete data on actual spending, coupled with uncertainty and lack of consensus over the relative size of spending gaps. Here, we assemble a global database of annual conservation spending. We then develop a statistical model that explains 86% of variation in conservation expenditures, and use this to identify countries where funding is robustly below expected levels. The 40 most severely underfunded countries contain 32% of all threatened mammalian diversity and include neighbors in some of the world's most biodiversity-rich areas (Sundaland, Wallacea, and Near Oceania). However, very modest increases in international assistance would achieve a large improvement in the relative adequacy of global conservation finance. Our results could therefore be quickly applied to limit immediate biodiversity losses at relatively little cost.

Keywords: CBD; ecological/environmental policy; foreign aid; governance; sustainability.

Fig. 1.

(A) Levels of threatened global biodiversity (measured as threatened mammal GBF; see text and SI Appendix) stewarded by each country. Color coding is in blocks of 0.5 SDs, with white and blue showing very low and low threatened diversity (<0.25 SD, −0.25–0.25 SD); yellow, medium diversity; and the four red colors, high diversity (0.75 SD to >2.3 SD, darker reds indicating higher values). (B) Underfunding levels from the predictor model (darker colors indicate worse underfunding, in blocks of 20 countries). Somalia was not analyzed but is probably also highly underfunded (SI Appendix).