Quantitative conservation geography

Minin, Enrico Di; Correia, Ricardo A.; Toivonen, Tuuli

doi:10.1016/j.tree.2021.08.009

Cited by 11 publications

(5 citation statements)

References 89 publications

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“…Geography remains critically important to conservation planning with continued advancement of quantitative and modeling approaches ( 50 ). However, we first acknowledge that results of any analysis reliant on range maps requires validation before local-level interventions can occur for species conservation.…”

Section: Discussionmentioning

confidence: 99%

Socio-ecological gap analysis to forecast species range contractions for conservation

Harris

Murphy

Green

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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Conservation requires both a needs assessment and prioritization scheme for planning and implementation. Range maps are critical for understanding and conserving biodiversity, but current range maps often omit content, negating important metrics of variation in populations and places. Here, we integrate a myriad of conditions that are spatially explicit across distributions of carnivores to identify gaps in capacity necessary for their conservation. Expanding on traditional gap analyses that focus almost exclusively on quantifying discordance in protected area coverage across a species’ range, our work aggregates threat layers (e.g., drought, human pressures) with resources layers (e.g., protected areas, cultural diversity) to identify gaps in available conservation capacity (ACC) across ranges for 91 African carnivores. Our model indicated that all species have some portion of their range at risk of contraction, with an average of 15 percentage range loss. We found that the ACC differed based on body size and taxonomy. Results deviated from current perceptions of extinction risks for species with an International Union for Conservation of Nature (IUCN) threat status of Least Concern and yielded insights for species categorized as Data Deficient. Our socio-ecological gap analysis presents a geospatial approach to inform decision-making and resource allocation in conservation. Ultimately, our work advances forecasting dynamics of species’ ranges that are increasingly vital in an era of great socio-ecological change to mitigate human–wildlife conflict and promote inclusive carnivore conservation across geographies.

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Section: Discussionmentioning

confidence: 99%

Socio-ecological gap analysis to forecast species range contractions for conservation

Harris

Murphy

Green

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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“…The differently structured scientometric analysis of Ladle et al (2015) found a broad split in biogeographical research between a predominantly ecological/conservation focus on one side and a historical/phylogeographical emphasis on the other. The combination of geography (not specifically biogeography) and conservation has recently been proposed as a new subfield of conservation science (Di Minin et al, 2022), highlighting the increasing interaction among these fields. Further integration and interaction between biogeographical studies and branches of the social sciences would modify the geography of the science map, pulling areas A, B and E in Figure 3 closer together.…”

Section: Discussionmentioning

confidence: 99%

Science maps for biogeography—The field's place within the sciences and its change over the past quarter century

Renner

Skov

2023

Journal of Biogeography

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Aim:The field of biogeography is often described as a hub between research disciplines. Here we apply science mapping to study how biogeography has changed and evolved between 1995 and April 2022, and to analyse the mix of disciplines used in this field. We explore how research foci have changed over time and if biogeographical topics have entered the public discourse. Location: Local to global. Taxon: All taxa. Methods: We created a semantic map of the field based on co-occurrences of keywords or composite keywords from 40,000+ scientific papers published between the 1970s and April 2022, structuring these data into three hierarchical sets. A fourth set of Top 100 researchers was constructed in September 2022. To address our publicdiscourse question, we used the Factiva archive of global media. Results: Five core journals contained 14,386 papers (or 35.7% of the full set), while the remaining papers appeared in 2247 journals of which 59% included only one or two biogeographical papers. Since 1995, frequencies of keywords related to core concerns of biogeography have remained stable or even decreased, while 'computing' and 'climate change' have increased. There is an increasing association with Mathematics & Statistics, Computer Sciences, and Planning & Management, and a decreased association with Physical Geography. Biogeography-related terms increasingly appearing in the public discourse are 'biodiversity', 'urban nature', 'conservation', 'extinction' and 'rewilding', while more technical concepts, such as 'ecoregions', 'macroecology' and 'island biogeography' remain at very low rates. Main Conclusions: Biogeographical research is moving towards the social sciences, probably linked to a growing concern over global environmental issues and the Anthropocene. It is difficult to disentangle to what extent the public discourse is influenced by biogeographical research or vice versa, but 'rewilding' and 'extinction' are examples of topics that began in basic ecological-biogeographical research and are now debated publicly.

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“…Conservation practitioners and regulatory authorities rely on spatial models to ensure decisions are informed by robust predictions and related measures of statistical uncertainty (Pollock et al 2020). Most conservation decisions are realized in geographic space and selecting the appropriate spatial scale to maximize success is critical (Di Minin et al 2022). Trend analyses show the ecosystem concept is frequently employed to structure spatially based conservation plans and to mitigate stressors including climate change (Anderson et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Predicting ecosystem pattern across landscapes

Basquill

Leroux

2023

Oikos

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Predictive modelling is fundamental to ecology and essential for objective biodiversity assessment. However, while predictive biodiversity models are generally well‐developed, models for predicting patterns within (e.g. composition, structure) and among ecosystems (e.g. ecosystem identity, spatial properties) have not been adequately operationalized. We contend the scarcity of such models marks a concerning gap in the scientific community's ability to make ecosystem predictions across landscapes, and more broadly for supporting the conservation of biodiversity and ecosystem functions. We propose ecosystem spatial pattern models (ESPM) to fill this gap in modelling capacity. Under our approach to ESPM, spatial patterns of ecosystem properties are the basis for resolving ecosystem organization at local and landscape extents. Our integrative modelling framework differs from others in that it accords biotic and abiotic constituents equally, consistent with their joint mechanistic influence on ecosystem establishment and dynamics. Development of ESPM is especially timely for ecosystem assessment is undergoing a groundswell, as scientists and conservation groups propose ambitious targets for ecosystem conservation and restoration.

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Quantitative conservation geography

Cited by 11 publications

References 89 publications

Socio-ecological gap analysis to forecast species range contractions for conservation

Socio-ecological gap analysis to forecast species range contractions for conservation

Science maps for biogeography—The field's place within the sciences and its change over the past quarter century

Predicting ecosystem pattern across landscapes

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