Distribution of birds in Colombia

Vélez, Danny; Tamayo, Edwin; Ayerbe-Quiñones, Fernando; Torres, Julián A.; Rey, Juan; Castro-Moreno, Carolina; Ramírez, Bryan; Ochoa-Quintero, José Manuel

doi:10.3897/bdj.9.e59202

Cited by 18 publications

(13 citation statements)

References 14 publications

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“…For instance, Forest Areas, including Afro-descendant territories and Indigenous lands, have high potential for the implementation of community-based conservation strategies such as ecotourism. Indeed 20% of Forest Areas lay within the departments of Cauca and Nariño in the West Andes which have the highest diversity of birds in the country (Vélez et al, 2021). The potential economic and conservation benefits of bird-watching have also been highlighted in regions prioritized for economic development such as post-conflict territories (Ocampo-Peñuela and Winton, 2017) which covered 50% of Forest Areas.…”

Section: Discussionmentioning

confidence: 99%

Habitat protection and restoration: win-win opportunities for migratory birds in the Northern Andes

González

Espejo

Armenteras

et al. 2022

Preprint

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Identifying strategies that offer co-benefits for biodiversity protection, forest restoration and human well-being are important for successful conservation outcomes. In this study, we identified opportunities where forest restoration and rehabilitation programs in Colombia also align with priority areas for the conservation of Neotropical migratory birds. We used citizen science eBird-based abundance estimates to define regions with the highest richness of Neotropical migratory birds of conservation concern at montane elevations in Colombia and aligned these high richness areas with domestic initiatives for forest protection (Forest Areas), restoration (Restoration Areas) and rehabilitation (Rehabilitation Areas). We quantified the location and amounts of these three areas as well as the type of land protection and designation within them, specifically, National Protected Areas, Indigenous Reserves, Afro-descendent territories, and regions affected by poverty and violence that are prioritized for rural development by the Colombian government in Post-conflict Territorially Focused Development Programs (PDET). Almost half of Forest Areas overlapped with PDETs where goals for economic development present a risk of forest loss if not done sustainably. There was a 20% overlap between Forest Areas and Afro-descendant territories and indigenous reserves; most of this overlap was outside of established protected areas thus presenting an opportunity for community forest conservation that benefits migratory birds. We found an alignment of less than 6% between migrant bird focal areas and the priority Restoration and Rehabilitation Planning Areas identified by the Colombian National Restoration Plan indicating less opportunity for these programs to simultaneously benefit Neotropical migrant species. Our approach highlights that timely and efficient conservation of declining migrants depends on identifying the regions and strategies that incorporate local communities as part of the solution to forest loss and degradation in Colombia.HighlightsColombia covers over half of key wintering areas for migratory birds in South AmericaMost of the migrants’ overwinter range overlaps with working landscapesPriority national restoration/rehabilitation areas are ineffective to benefit migrantsForest conservation needs actions involving vulnerable and minority groups

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Section: Discussionmentioning

confidence: 99%

Habitat protection and restoration: win-win opportunities for migratory birds in the Northern Andes

González

Espejo

Armenteras

et al. 2022

Preprint

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“…We derived the geographic range covariate using digital range maps from Ayerbe Quiñones ( 2018 ; see also Vélez et al, 2021 ). We implemented biogeographic clipping at a buffer of 160 km around these maps, as well as at the crest of the West Andes and the floor of the Cauca Valley to address the complex biogeography of birds in this region.…”

Section: Methodsmentioning

confidence: 99%

Biogeographic multi‐species occupancy models for large‐scale survey data

Socolar

Mills

Haugaasen

et al. 2022

Ecology and Evolution

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Ecologists often seek to infer patterns of species occurrence or community structure from survey data. Hierarchical models, including multi‐species occupancy models (MSOMs), can improve inference by pooling information across multiple species via random effects. Originally developed for local‐scale survey data, MSOMs are increasingly applied to larger spatial scales that transcend major abiotic gradients and dispersal barriers. At biogeographic scales, the benefits of partial pooling in MSOMs trade off against the difficulty of incorporating sufficiently complex spatial effects to account for biogeographic variation in occupancy across multiple species simultaneously. We show how this challenge can be overcome by incorporating preexisting range information into MSOMs, yielding a “biogeographic multi‐species occupancy model” (bMSOM). We illustrate the bMSOM using two published datasets: Parulid warblers in the United States Breeding Bird Survey and entire avian communities in forests and pastures of Colombia's West Andes. Compared with traditional MSOMs, the bMSOM provides dramatically better predictive performance at lower computational cost. The bMSOM avoids severe spatial biases in predictions of the traditional MSOM and provides principled species‐specific inference even for never‐observed species. Incorporating preexisting range data enables principled partial pooling of information across species in large‐scale MSOMs. Our biogeographic framework for multi‐species modeling should be broadly applicable in hierarchical models that predict species occurrences, whether or not false absences are modeled in an occupancy framework.

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“…We derived the geographic range covariate using digital range maps from Ayerbe Quiñones (2018; see also Vélez et al 2021). We implemented biogeographic clipping at a buffer of 160 km around these maps, as well as at the crest of the West Andes and the floor of the Cauca Valley to address the complex biogeography of birds in this region.…”

Section: Example 2: Forest Conversion In Colombia's West Andesmentioning

confidence: 99%

Biogeographic multi-species occupancy models for large-scale survey data

Socolar

Mills

Haugaasen

et al. 2021

Preprint

View full text Add to dashboard Cite

Ecologists often seek to infer patterns of species occurrence or community structure from survey data. Hierarchical models, including multi-species occupancy models (MSOMs), can improve inference by pooling information across multiple species via random effects. Originally developed for local-scale survey data, MSOMs are increasingly applied to larger spatial scales that transcend major abiotic gradients and dispersal barriers. At biogeographic scales, the benefits of partial pooling in MSOMs trade off against the difficulty of incorporating sufficiently complex spatial effects to account for biogeographic variation in occupancy across multiple species simultaneously.We show how this challenge can be overcome by incorporating pre-existing range information into MSOMs, yielding a ‘biogeographic multi-species occupancy model’ (bMSOM). We illustrate the bMSOM using two published datasets: Parulid warblers in the United States Breeding Bird Survey, and entire avian communities in forests and pastures of Colombia’s West Andes.Compared to traditional MSOMs, the bMSOM provides dramatically better predictive performance at lower computational cost. The bMSOM avoids severe spatial biases in predictions of the traditional MSOM and provides principled species-specific inference even for never-observed species.Incorporating pre-existing range data enables principled partial pooling of information across species in large-scale MSOMs. Our biogeographic framework for multi-species modeling should be broadly applicable in hierarchical models that predict species occurrences, whether or not false-absences are modeled in an occupancy framework.

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Distribution of birds in Colombia

Cited by 18 publications

References 14 publications

Habitat protection and restoration: win-win opportunities for migratory birds in the Northern Andes

Habitat protection and restoration: win-win opportunities for migratory birds in the Northern Andes

Biogeographic multi‐species occupancy models for large‐scale survey data

Biogeographic multi-species occupancy models for large-scale survey data

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