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More than $1 billion needed annually to secure Africa’s protected areas with lions

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TLDR
African governments and the international community need to increase the funding available for management by three to six times if PAs are to effectively conserve lions and other species and provide vital ecological and economic benefits to neighboring communities.
Abstract
Protected areas (PAs) play an important role in conserving biodiversity and providing ecosystem services, yet their effectiveness is undermined by funding shortfalls. Using lions (Panthera leo) as a proxy for PA health, we assessed available funding relative to budget requirements for PAs in Africa’s savannahs. We compiled a dataset of 2015 funding for 282 state-owned PAs with lions. We applied three methods to estimate the minimum funding required for effective conservation of lions, and calculated deficits. We estimated minimum required funding as $978/km2 per year based on the cost of effectively managing lions in nine reserves by the African Parks Network; $1,271/km2 based on modeled costs of managing lions at ≥50% carrying capacity across diverse conditions in 115 PAs; and $2,030/km2 based on Packer et al.’s [Packer et al. (2013) Ecol Lett 16:635–641] cost of managing lions in 22 unfenced PAs. PAs with lions require a total of $1.2 to $2.4 billion annually, or ∼$1,000 to 2,000/km2, yet received only $381 million annually, or a median of $200/km2. Ninety-six percent of range countries had funding deficits in at least one PA, with 88 to 94% of PAs with lions funded insufficiently. In funding-deficit PAs, available funding satisfied just 10 to 20% of PA requirements on average, and deficits total $0.9 to $2.1 billion. African governments and the international community need to increase the funding available for management by three to six times if PAs are to effectively conserve lions and other species and provide vital ecological and economic benefits to neighboring communities.

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Ensuring effective implementation of the post-2020 global biodiversity targets

TL;DR: In this article, the authors demonstrate that most parties did not set effective national targets in accordance with the Aichi Targets, and investments, knowledge and accountability for biodiversity conservation have been inadequate to enable effective implementation.
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Determinants of elephant foraging behaviour in a coupled human-natural system: Is brown the new green?

TL;DR: This study is the first to combine GPS tracking data with high-resolution diet analysis and community-based reporting of crop availability to reveal fine-scale plasticity in foraging behaviour of elephants at the human-wildlife interface.
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Questionnaire survey of the pan-African trade in lion body parts.

TL;DR: A pan-African questionnaire and literature survey is undertook to document informed opinion and evidence for the occurrence of domestic and international trade and consumption in African lion body parts across current and former range states, signalling an escalating trend in the trade of lion products that is an increasing threat to some national populations.
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Funding deficits of protected areas in Brazil

TL;DR: In this article, the authors describe the variation in funding deficits across Brazilian federal PAs and propose a model that explains such variation by using PAs' characteristics and their zones of influence as predictors.
References
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Journal Article

R: A language and environment for statistical computing.

R Core Team
- 01 Jan 2014 - 
TL;DR: Copyright (©) 1999–2012 R Foundation for Statistical Computing; permission is granted to make and distribute verbatim copies of this manual provided the copyright notice and permission notice are preserved on all copies.
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WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

TL;DR: In this paper, the authors created a new dataset of spatially interpolated monthly climate data for global land areas at a very high spatial resolution (approximately 1 km2), including monthly temperature (minimum, maximum and average), precipitation, solar radiation, vapour pressure and wind speed, aggregated across a target temporal range of 1970-2000, using data from between 9000 and 60,000 weather stations.
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ROCR: visualizing classifier performance in R

TL;DR: UNLABELLED ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R that features over 25 performance measures that can be freely combined to create two-dimensional performance curves.
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