Election cycles affect deforestation within Brazil's Atlantic Forest

Ruggiero, Patricia Guidão Cruz; Pfaff, Alexander; Nichols, Elizabeth; Rosa, Marcos Reis; Metzger, Jean Paul

doi:10.1111/conl.12818

Cited by 13 publications

(6 citation statements)

References 46 publications

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“…The 2013 Madagascar election was associated with excess forest res, a form of political protest 25 . In Brazil, election cycles were found to trigger deforestation 24 . The reverse can also be true, as the wealth created by exploiting forest resources can be politically destabilizing 43 .…”

Section: Discussionmentioning

confidence: 99%

“…In Indonesia, direct elections boosted the ability of protected areas to prevent deforestation, but not forest fragmentation or re 23 . Elections were found to increase deforestation in Brazil 24 and increase forest res in Madagascar 25 . We know little, however, about the relative effectiveness of different conservation interventions during and after a political crisis.…”

Section: Introductionmentioning

confidence: 99%

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The effect of a political crisis on performance of community- and state-managed forests in Madagascar

Neugarten

Rasolofoson

Barrett

et al. 2023

Preprint

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Understanding the effectiveness of conservation interventions during times of political instability is important given how much of the world’s biodiversity is concentrated in politically fragile nations. We investigated the effect of a political crisis on the relative performance of community managed forests versus state-managed protected areas in terms of reducing deforestation in Madagascar, a biodiversity hotspot. We used remotely sensed data and statistical matching within an event study design to isolate the effect of the crisis and post-crisis period on performance. Annual rates of deforestation accelerated at the end of the crisis and were higher in community forests than in state-managed areas. After controlling for differences in location and other confounding variables, we found no difference in performance during the crisis, but community-managed forests performed worse in post-crisis years. These findings suggest that, as a political crisis subsides and deforestation pressures intensify, community-based conservation may be less resilient than state protection.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The effect of a political crisis on performance of community- and state-managed forests in Madagascar

Neugarten

Rasolofoson

Barrett

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…centivizing politicians and encouraging the electorate to trade permission for forest preservation policies' retraction in return for political voting and support [32,[79][80][81]. Although the literature on this condition of bad governance is often limited to corruption, deceit, or unfair legislation [82], we consider that the violation of the central or acceptable norms of good practices in environmental policies encompasses important aspects of institutional deficit in Greece, primarily in spatial planning, land-use mapping, and landproperty cadastral [83].…”

Section: Discussionmentioning

confidence: 99%

Probabilistic Wildfire Risk Assessment and Modernization Transitions: The Case of Greece

Troumbis

Gagani

Sideropoulos

2023

Fire

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Wildfire is the primary cause of deforestation in fire-prone environments, disrupting the forest transition process generated by multiple social-ecological drivers of modernization. Given the positive feedback between climate change and wildfire-driven deforestation, it seems necessary to abstract the primary- or micro-characteristics of wildfire event(s) and focus on the general behavior of the phenomenon across time and space. This paper intends to couple wildfire self-organizing criticality theory (SOC) and modernization statistics to propose a verisimilar explanation of the phenomenon’s evolution in the past decades and a prediction of its trends in Greece. We use power law distributions of the fire frequency–magnitude relationship to estimate the basic SOC parameters and the Weibull reliability method to calculate large-size wildfires’ conditional probability as a time function. We use automatic linear modeling to search for the most accurate relationship between wildfire metrics and the best subset of modernization predictors. The discussion concentrates on reframing the political debate on fire prevention vs. suppression, its flaws and limitations, and the core challenges for adopting more efficient wildfire management policies in Greece.

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“…Ongoing threats to tropical forests are driven by complex, rapidly changing interactions between local and global economic forces, changing temperatures, precipitation patterns, and fire regimes and associated feedback loops, and even political dynamics (Austin et al, 2017; Brancalion et al, 2020; Ruggiero et al, 2021; Seymour & Harris, 2019). Obtaining or maintaining an understanding of species responses to these changes is likely to require broad‐scale survey efforts, ideally ones capable of yielding data on multiple species.…”

Section: Comparison and Critiquementioning

confidence: 99%

Pairing a user‐friendly machine‐learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate

Wood

Cruz

Kahl

2023

American J Primatol

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Population declines and range contractions due to habitat loss are pervasive among nonhuman primates, with 60% of species threatened with extinction.However, the extensive vocal activity displayed by many primates makes them excellent candidates for passive acoustic surveys. Passive acoustic survey data is increasingly being used to support occupancy models, which have proven to be an efficient means of estimating both population trends and distributions.Passive acoustic surveys can be conducted relatively quickly and at broad scales, but efficient audio data processing has long proven elusive. The machine learning algorithm BirdNET was originally developed for birds but was recently expanded to include nonavian taxa. We demonstrate that BirdNET can accurately and efficiently identify an endangered primate, the Yucatán black howler monkey (Alouatta pigra), by sound in passive acoustic survey data (collected in southeastern Chiapas, Mexico), enabling us to use a single-season occupancy model to inform further survey efforts. Importantly, we also generated data on up to 286 co-occurring bird species, demonstrating the value of integrated animal sound classification tools for biodiversity surveys.BirdNET is freely available, requires no computer science expertise to use, and can readily be expanded to include more species (e.g., its species list recently tripled to >3000), suggesting that passive acoustic surveys, and thus occupancy modeling, for primate conservation could rapidly become much more accessible.Importantly, the long history of bioacoustics in primate research has yielded a wealth of information about their vocal behavior, which can facilitate appropriate survey design and data interpretation.

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Election cycles affect deforestation within Brazil's Atlantic Forest

Cited by 13 publications

References 46 publications

The effect of a political crisis on performance of community- and state-managed forests in Madagascar

The effect of a political crisis on performance of community- and state-managed forests in Madagascar

Probabilistic Wildfire Risk Assessment and Modernization Transitions: The Case of Greece

Pairing a user‐friendly machine‐learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate

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