Spatial protected area decisions to reduce carbon emissions from forest extraction

Albers, Heidi J.; White, Benjamin Leonardo Alves; Robinson, Elizabeth; Sterner, Erik

doi:10.1080/17421772.2019.1692143

Cited by 10 publications

(9 citation statements)

References 26 publications

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“…Related models with extraction site choices demonstrate that extractors become one-site specializers in the presence of large enough distance costs; our constraint of a one site choice corresponds to a setting with significant distance costs (Sterner et al 2018). Other related research explores multiple extraction sites (Albers et al 2019). In addition, models that allocate the effort to meet the rent dissipation condition approach tacitly assume that effort responds to known stock sizes without fixed distance costs.…”

Section: Solution Methods and Parametersmentioning

confidence: 99%

Optimal Siting, Sizing, and Enforcement of Marine Protected Areas

Albers

Preonas

Capitán

et al. 2020

Environ Resource Econ

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The design of protected areas, whether marine or terrestrial, rarely considers how people respond to the imposition of no-take sites with complete or incomplete enforcement. Consequently, these protected areas may fail to achieve their intended goal. We present and solve a spatial bio-economic model in which a manager chooses the optimal location, size, and enforcement level of a marine protected area (MPA). This manager acts as a Stackelberg leader, and her choices consider villagers' best response to the MPA in a spatial Nash equilibrium of fishing site and effort decisions. Relevant to lower income country settings but general to other settings, we incorporate limited enforcement budgets, distance costs of traveling to fishing sites, and labor allocation to onshore wage opportunities. The optimal MPA varies markedly across alternative manager goals and budget sizes, but always induce changes in villagers' decisions as a function of distance, dispersal, and wage. We consider MPA managers with ecological conservation goals and with economic goals, and identify the shortcomings of several common manager decision rules, including those focused on: (1) fishery outcomes rather than broader economic goals, (2) fish stocks at MPA sites rather than across the full marinescape, (3) absolute levels rather than additional values, and (4) costless enforcement. Our results demonstrate that such naïve or overly narrow decision rules can lead to inefficient MPA designs that miss economic and conservation opportunities.

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Section: Solution Methods and Parametersmentioning

confidence: 99%

Optimal Siting, Sizing, and Enforcement of Marine Protected Areas

Albers

Preonas

Capitán

et al. 2020

Environ Resource Econ

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“…These frameworks recognize that patterns of land use are informed by, and inform, decisions of people in LMICs that cause biodiversity loss (e.g. Pfaff 1999;Andam et al 2008;Pfaff et al 2009;Albers et al 2019). Both environmental and socio-economic characteristics of LMICs inform people's decisions and interactions with their environment and are often critical considerations in conservation policy.…”

Section: Conservation Economics In Lmics: Interactions Of People With Natural Systems and Wildlifementioning

confidence: 99%

Disease Risk from Human–Environment Interactions: Environment and Development Economics for Joint Conservation-Health Policy

Albers¹,

Lee²,

Rushlow³

et al. 2020

Environ Resource Econ

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Emergence of COVID-19 joins a collection of evidence that local and global health are influenced by human interactions with the natural environment. Frameworks that simultaneously model decisions to interact with natural systems and environmental mechanisms of zoonotic disease spread allow for identification of policy levers to mitigate disease risk and promote conservation. Here, we highlight opportunities to broaden existing conservation economics frameworks that represent human behavior to include disease transmission in order to inform conservation-disease risk policy. Using examples from wildlife markets and forest extraction, we call for environment, resource, and development economists to develop and analyze empirically-grounded models of people's decisions about interacting with the environment, with particular attention to LMIC settings and ecological-epidemiological risk factors. Integrating the decisions that drive human-environment interactions with ecological and epidemiological research in an interdisciplinary approach to understanding pathogen transmission will inform policy needed to improve both conservation and disease spread outcomes.

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“…Therefore, policies that protect forest areas ought to mitigate the climate change problem. Based on this intuition, Albers et al (2020) conduct fieldwork and then analyze the properties of what they call "protected area policies" (PA). Their analysis is guided by the belief that managers can best use their limited enforcement budgets by first comprehending the ways in which villagers make their extraction choices.…”

Section: Protecting Forest Areasmentioning

confidence: 99%

Spatial economic aspects of climate change

Batabyal

Folmer

2020

Spatial Economic Analysis

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Our objective in this special issue is twofold. First, we emphasize the importance of comprehending that the global impacts of climate change notwithstanding, there are salient regionspecific impacts that vary across space. Second, given this observation, we show how rigorous modeling of the connections between climate change and (i) land use changes, (ii) forestry, (iii) infrastructure, and (iv) local labor markets sheds light on a variety of climate change induced spatial economic effects. Following this introductory paper, there are seven additional papers in this special issue. Each of these papers discusses a particular research question at the interface of what we call "climate change and space."

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Spatial protected area decisions to reduce carbon emissions from forest extraction

Cited by 10 publications

References 26 publications

Optimal Siting, Sizing, and Enforcement of Marine Protected Areas

Optimal Siting, Sizing, and Enforcement of Marine Protected Areas

Disease Risk from Human–Environment Interactions: Environment and Development Economics for Joint Conservation-Health Policy

Spatial economic aspects of climate change

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