Range-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environments

dc.contributor.authorTreurnicht, Martinaen_ZA
dc.contributor.authorSchurr, Frank M.en_ZA
dc.contributor.authorSlingsby, Jasper A.en_ZA
dc.contributor.authorEsler, Karen J.en_ZA
dc.contributor.authorPagel, Jornen_ZA
dc.date.accessioned2021-07-23T13:54:43Z
dc.date.accessioned2021-08-27T12:49:43Z
dc.date.available2021-07-23T13:54:43Z
dc.date.available2021-08-27T12:49:43Z
dc.date.issued2021
dc.descriptionCITATION: Treurnicht, M. 2021. Range-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environments. Journal of Applied Ecology, 58:1399–1410, doi:10.1111/1365-2664.13882 .en_ZA
dc.descriptionThe original publication is available at https://besjournals.onlinelibrary.wiley.comen_ZA
dc.description.abstractAbstract 1. The ecological effects of harvesting from wild populations are often uncertain, especially since the sensitivity of populations to harvesting can vary across species’ geographical ranges. In the Cape Floristic Region (CFR, South Africa) biodiversity hotspot, wildflower harvesting is widespread and economically important, providing an income to many rural communities. However, with very few species studied to date, and without considering range-wide sensitivity to harvesting, there is limited information available to ensure the sustainability of wildflower harvesting. 2. We studied geographical variation in sensitivity to wildflower harvesting for 26 Proteaceae shrubs with fire-driven life cycles using population viability analyses. We developed stochastic, density-dependent population models that were parameterized from individual demographic rates (adult fecundity, seedling recruitment and adult fire survival) and local environmental conditions across the geographical ranges of the study species. We then simulated the effects of harvesting on populations in different environments across species ranges. Our model simulations predicted extinction risk per population, and we derived extinction probabilities over 100 years in response to different harvesting regimes. We used these population-level extinction probabilities to quantify inter- and intraspecific variation in sensitivity to wildflower harvesting, and to explore how geographical variation in sensitivity depends on environmental conditions (climate, soil fertility and fire disturbance). 3. We detected considerable inter- and intraspecific variation in sensitivity to wildflower harvesting for the 26 study species. This held for both ‘nonsprouters’ and ‘resprouters’ (species with low and high fire persistence ability, respectively). Intraspecific variation in sensitivity to harvesting showed varying geographical patterns and associated with environmental variation. Notably, sensitivity was high towards range edges and at the climatic extremes of species ranges, respectively. 4. Synthesis and applications: We show the importance of combining spatial demographic data, density-dependent population dynamics and environmental variation when assessing sensitivity to harvesting across species geographical ranges. Our findings caution against the application of general harvesting guidelines irrespective of species, geographical location or local environmental conditions. Our range-wide population viability analyses provide insights for developing species-specific, spatially nuanced guidelines for conservation management. Our approach also identifies species and areas to prioritise for monitoring to prevent the overexploitation of harvested species. Abstract 1. The ecological effects of harvesting from wild populations are often uncertain, especially since the sensitivity of populations to harvesting can vary across species’ geographical ranges. In the Cape Floristic Region (CFR, South Africa) biodiversity hotspot, wildflower harvesting is widespread and economically important, providing an income to many rural communities. However, with very few species studied to date, and without considering range-wide sensitivity to harvesting, there is limited information available to ensure the sustainability of wildflower harvesting. 2. We studied geographical variation in sensitivity to wildflower harvesting for 26 Proteaceae shrubs with fire-driven life cycles using population viability analyses. We developed stochastic, density-dependent population models that were parameterized from individual demographic rates (adult fecundity, seedling recruitment and adult fire survival) and local environmental conditions across the geographical ranges of the study species. We then simulated the effects of harvesting on populations in different environments across species ranges. Our model simulations predicted extinction risk per population, and we derived extinction probabilities over 100 years in response to different harvesting regimes. We used these population-level extinction probabilities to quantify inter- and intraspecific variation in sensitivity to wildflower harvesting, and to explore how geographical variation in sensitivity depends on environmental conditions (climate, soil fertility and fire disturbance). 3. We detected considerable inter- and intraspecific variation in sensitivity to wildflower harvesting for the 26 study species. This held for both ‘nonsprouters’ and ‘resprouters’ (species with low and high fire persistence ability, respectively). Intraspecific variation in sensitivity to harvesting showed varying geographical patterns and associated with environmental variation. Notably, sensitivity was high towards range edges and at the climatic extremes of species ranges, respectively. 4. Synthesis and applications: We show the importance of combining spatial demographic data, density-dependent population dynamics and environmental variation when assessing sensitivity to harvesting across species geographical ranges. Our findings caution against the application of general harvesting guidelines irrespective of species, geographical location or local environmental conditions. Our range-wide population viability analyses provide insights for developing species-specific, spatially nuanced guidelines for conservation management. Our approach also identifies species and areas to prioritise for monitoring to prevent the overexploitation of harvested species.en_ZA
dc.description.sponsorshipDeutsche Forschungsgemeinschaft, Grant/ Award Number: SCHU 2259/5-1 and SCHU 2259/5-2; National Research Foundation - South African Environmental Observation Network (NRF-SAEON’s); Claude Leon Foundationen_ZA
dc.description.versionPublisher's versionen_ZA
dc.format.extent12 pages :illustrations, mapsen_ZA
dc.identifier.citationTreurnicht, M.; Schurr, F.M.; Slingsby, J.A.; Esler, K.J.; Pagel, J. (2021). Range-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environments. Journal of Applied Ecology. DOI: 10.1111/1365-2664.13882. Treurnicht, M.; Schurr, F.M.; Slingsby, J.A.; Esler, K.J.; Pagel, J. (2021). Range-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environments. Journal of Applied Ecology 58, 1399-1410. DOI: 10.1111/1365-2664.13882.en_ZA
dc.identifier.citationTreurnicht, M. 2021. Range-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environments. Journal of Applied Ecology, 58:1399–1410, doi:10.1111/1365-2664.13882 .en_ZA
dc.identifier.issn1365-2664 (online)
dc.identifier.otherdoi:10.1111/1365-2664.13882
dc.identifier.urihttp://hdl.handle.net/10019.1/121552
dc.publisherWiley Onlineen_ZA
dc.rights.holderAuthors retain copyrighten_ZA
dc.subjectEnvironmental conditionsen_ZA
dc.subjectPopulation viability analysisen_ZA
dc.subjectWild flowers -- Harvesting -- South Africaen_ZA
dc.subjectConservation of natural resources -- South Africaen_ZA
dc.subjectSustainable development -- South Africaen_ZA
dc.subjectConservation managementen_ZA
dc.titleRange-wide population viability analyses reveal high sensitivity to wildflower harvesting in extreme environmentsen_ZA
dc.typeArticle
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