A conceptual framework to evaluate human-wildlife interactions within coupled human and natural systems

Morzillo, Anita T.; Beurs, Kirsten M. de; Martin-Mikle, Chelsea J.

doi:10.5751/es-06883-190344

Cited by 69 publications

(64 citation statements)

References 66 publications

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“…These collective decisions contribute to feedbacks among other urban governance structures , Cook et al 2012, Morzillo et al 2014, Polsky et al 2014) that influence what urban landscapes look like over time. Our hypothesis that Portland respondents would reveal more overall importance for natural resources than Vancouver respondents did not bear out at the metro scale.…”

Section: Discussionmentioning

confidence: 99%

Resident perceptions of natural resources between cities and across scales in the Pacific Northwest

Morzillo¹,

Kreakie²,

Netusil³

et al. 2016

E&S

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ABSTRACT. As the global population becomes increasingly urban, research is needed to explore how local culture, land use, and policy will influence urban natural resource management. We used a broad-scale comparative approach and survey of residents within the Portland (Oregon)-Vancouver (Washington) metropolitan areas, USA, two states with similar geographical and ecological characteristics, but different approaches to land-use planning, to explore resident perceptions about natural resources at three scales of analysis: property level ("at or near my house"), neighborhood ("within a 20-minute walk from my house"), and metro level ("across the metro area"). At the metro-level scale, nonmetric multidimensional scaling revealed that the two cities were quite similar. However, affinity for particular landscape characteristics existed within each city with the greatest difference generally at the property-level scale. Portland respondents expressed affinity for large mature trees, tree-lined streets, public transportation, and proximity to stores and services. Vancouver respondents expressed affinity for plentiful accessible parking. We suggest three explanations that likely are not mutually exclusive. First, respondents are segmented based on preferences for particular amenities, such as convenience versus commuter needs. Second, historical land-use and tax policy legacies may influence individual decisions. Third, more environmentally attuned worldviews may influence an individual's desire to produce environmentally friendly outcomes. Our findings highlight the importance of acknowledging variations in residents' affinities for landscape characteristics across different scales and locations because these differences may influence future land-use policies about urban natural resources.

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Section: Discussionmentioning

confidence: 99%

Resident perceptions of natural resources between cities and across scales in the Pacific Northwest

Morzillo¹,

Kreakie²,

Netusil³

et al. 2016

E&S

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“…For example, some landowners invested considerably in creation of backyard habitat for wildlife, efforts that were made in response to observation and appreciation for wildlife presence, e.g., for birdwatching, and with the intended desire to increase such presence in the future (Morzillo et al 2014). On the other hand, negative human-wildlife feedbacks also resulted, such as when increases in wildlife pests, e.g., rodents, inspired direct actions by humans to eradicate pest populations (Morzillo et al 2014). …”

Section: Urbanmentioning

confidence: 99%

“…Papers also provide real-world examples and applications that inform management and decision making in CHANS around the globe. Examples comprise management of protected areas , habitat restoration (Morzillo et al 2014), and stormwater management (Shandas 2015).…”

Section: Exploring Feedbacks In Chansmentioning

confidence: 99%

“…Landowners appreciate wildlife presence in their yards and engage in habitat restoration to encourage future increases in wildlife (Morzillo et al 2014). …”

Section: Urbanmentioning

confidence: 99%

“…Urban residents experience negative effects of rodents and initiate rodent control measures to decrease future rodent populations (Morzillo et al 2014). …”

Section: Urbanmentioning

confidence: 99%

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Synthesis of human-nature feedbacks

Hull¹,

Tuanmu²,

Liu³

2015

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ABSTRACT. In today's globalized world, humans and nature are inextricably linked. The coupled human and natural systems (CHANS) framework provides a lens with which to understand such complex interactions. One of the central components of the CHANS framework involves examining feedbacks among human and natural systems, which form when effects from one system on another system feed back to affect the first system. Despite developments in understanding feedbacks in single disciplines, interdisciplinary research on CHANS feedbacks to date is scant and often site-specific, a shortcoming that prevents complex coupled systems from being fully understood. The special feature "Exploring Feedbacks in Coupled Human and Natural Systems (CHANS)" makes strides to fill this critical gap. Here, as an introduction to the special feature, we provide an overview of CHANS feedbacks. In addition, we synthesize key CHANS feedbacks that emerged in the papers of this special feature across agricultural, forest, and urban landscapes. We also examine emerging themes explored across the papers, including multilevel feedbacks, time lags, and surprises as a result of feedbacks. We conclude with recommendations for future research that can build upon the foundation provided in the special feature.

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Emergency‐line calls as an indicator to assess human–wildlife interaction in urban areas

et al. 2023

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Human-wildlife interactions (HWIs) are increasingly common human disturbances as development continues to remove wildlife habitats. Documenting HWI is critical for environmental protection agencies to develop strategies and management decisions that meet the needs of both people and wildlife. However, evaluation of the frequency and types of HWI at broad spatial scales (e.g., national or regional level) can be costly and difficult to implement by managers. In this study, we apply a novel method for the evaluation of patterns of HWI in urban areas by using publicly available data from emergency calls (ECs) placed by inhabitants of Romania's urban areas. We used information from 4601 ECs placed at the Romanian National Emergency Call System 112, which consisted of (1) wildlife species, (2) spatial location, (3) date and time, and (4) a short description of the emergency. Of the 318 analyzed cities, 300 cities documented ECs on HWI between 2015 and 2020, with roe deer and brown bear being the most frequently mentioned species. We recorded an increasing trend in HWI-related ECs in 73% of the urban areas over the five-year period. We mapped the large-scale distribution of HWI by species and type of interactions in order to capture variations at the national level.Further, we analyzed the social and the biophysical factors potentially influencing the occurrence and frequency of HWI. The results showed that social factors have the same effect on all species, while the effect of the biophysical factors varied between species. Particularly, the presence of large natural habitats, represented by forests, influenced the number of calls only for brown bears. Seminatural landscapes with agricultural land have a different influence in terms of effect and significance for the considered species. Our results suggest that publicly available data from ECs can be used for the rapid assessment of HWI and for evaluating trends and predictors of HWI at broad spatial scales.Mihai I. Pop and Simona R. Gradinaru contributed equally to the work reported here.

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A conceptual framework to evaluate human-wildlife interactions within coupled human and natural systems

Cited by 69 publications

References 66 publications

Resident perceptions of natural resources between cities and across scales in the Pacific Northwest

Resident perceptions of natural resources between cities and across scales in the Pacific Northwest

Synthesis of human-nature feedbacks

Emergency‐line calls as an indicator to assess human–wildlife interaction in urban areas

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