Utility of commercial high‐resolution satellite imagery for monitoring general flowering in Sarawak, Borneo

Miura, Tomoaki; Tokumoto, Yuji; Nagai, Shin; Shimizu, Kentaro; Pungga, Runi Anak Sylvester; Ichie, Tomoaki

doi:10.1111/1440-1703.12382

Cited by 10 publications

(5 citation statements)

References 57 publications

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“…Likewise, our results suggest that EVI could be a useful and relatively efficient metric for wildlife managers to monitor Verreaux's sifaka and other folivorous species. Additionally, remotely‐sensed Landsat/Sentinel satellite data could also be supplemented with near‐surface remote sensing technologies, such as those used in the PhenoCam Network (Richardson, 2023), and/or with high‐resolution satellite imagery capable of resolving flowers (Dixon et al, 2021; Miura et al, 2023; Sánchez‐Azofeifa et al, 2011).…”

Section: Discussionmentioning

confidence: 99%

Consistency in Verreaux's sifaka home range and core area size despite seasonal variation in resource availability as assessed by Enhanced Vegetation Index (EVI)

Axel,

Harshbarger,

Lewis

et al. 2024

American J Primatol

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Primates are adept at dealing with fluctuating availability of resources and display a range of responses to minimize the effects of food scarcity. An important component of primate conservation is to understand how primates adapt their foraging and ranging patterns in response to fluctuating food resources. Animals optimize resource acquisition within the home range through the selection of resource‐bearing patches and choose between contrasting foraging strategies (resource‐maximizing vs. area‐minimizing). Our study aimed to characterize the foraging strategy of a folivorous primate, Verreaux's sifaka (Propithecus verreauxi), by evaluating whether group home range size varied between peak and lean leaf seasons within a seasonally dry tropical forest in Madagascar. We hypothesized that Verreaux's sifaka used the resource maximization strategy to select high‐value resource patches so that during periods of resource depression, the home range area did not significantly change in size. We characterized resource availability (i.e., primary productivity) by season at Kirindy Mitea National Park using remotely‐sensed Enhanced Vegetation Index data. We calculated group home ranges using 10 years of focal animal sampling data collected on eight groups using both 95% and 50% kernel density estimation. We used area accumulation curves to ensure each group had an adequate number of locations to reach seasonal home range asymptotes. Neither 95% home ranges nor 50% core areas differed across peak and lean leaf resource seasons, supporting the hypothesis that Verreaux's sifaka use a resource maximization strategy. With a better understanding of animal space use strategies, managers can model anticipated changes under environmental and/or anthropogenic resource depression scenarios. These findings demonstrate the value of long‐term data for characterizing and understanding foraging and ranging patterns. We also illustrate the benefits of using satellite data for characterizing food resources for folivorous primates.

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Section: Discussionmentioning

confidence: 99%

Consistency in Verreaux's sifaka home range and core area size despite seasonal variation in resource availability as assessed by Enhanced Vegetation Index (EVI)

Axel,

Harshbarger,

Lewis

et al. 2024

American J Primatol

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“…We highlight the likely impacts that future changes on water regimes, mostly related to climate change, may have on plant phenology and productivity of tropical ecosystems (Vico et al, 2015;Morellato et al, 2016;Restrepo-Coupe et al, 2017) especially considering the drying trends presented in the last IPCC report (IPCC, 2021). Integrated methods are expected to significantly improve our understanding of patterns and drivers of tropical phenology and ecosystem metabolism across scales (Miura et al, 2023;Wang et al, 2023). Cross-scale monitoring phenology, linking phenocameras with high resolution orbital sensors, is promising to effectively track large-scale phenology with a fine individual tree resolution and the response of tropical vegetation to climate change (Wang et al, 2023).…”

Section: The Role Of Plant Phenology and Environment In Determining G...mentioning

confidence: 99%

Relationship between tropical leaf phenology and ecosystem productivity using phenocameras

Alberton,

Martin,

Da Rocha

et al. 2023

Front. Environ. Sci.

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Introduction: The interplay of water and light, regarded as the main driver of tropical plant dynamics, determines leaf phenology and ecosystem productivity. Leaf phenology has been discussed as a key variable to explain photosynthetic seasonality in evergreen tropical forests, but the question is still open for seasonally tropical ecosystems. In the search for implementing long-term phenology monitoring in the tropics, phenocameras have proven to be an accurate method to estimate vegetative phenology in tropical communities. Here, we investigated the temporal patterns of leaf phenology and their relation to gross primary productivity (GPP) in a comparative study across three contrasting tropical biomes: dry forest (caatinga), woodland savanna (cerrado), and rainforest (Atlantic Forest).Methods: We monitored leaf phenology (phenocameras) and estimated gross primary productivity (eddy-covariance) continuously over time at three study sites. We investigated the main drivers controlling leaf phenology and tested the performance of abiotic (climate) and biotic (phenology) factors to explain gross primary productivity across sites.Results: We found that camera-derived indices presented the best relationships with gross primary productivity across all sites. Gross primary productivity seasonality was controlled by a gradient of water vs. light, where caatinga dry forest was water-limited, cerrado vegetation responded to water seasonality and light, and rainforest was mainly controlled by light availability. Vegetation phenology was tightly associated with productivity in the driest ecosystem (caatinga), where productivity was limited to the wet season, and the camera-derived index (Gcc) was the best proxy for gross primary productivity.Discussion: Leaf phenology increased their relative importance over gross primary productivity seasonality at less seasonal sites (cerrado and rainforest), where multiple leafing strategies influenced carbon exchanges. Our multi-site comparison, along with fine-scale temporal observations of leaf phenology and gross primary productivity patterns, uncovered the relationship between leafing and productivity across tropical ecosystems under distinct water constraints.

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“…Furthermore, for the validation of the highly optimal areas identified, high-resolution images (3 m) obtained from the PlanetScope satellite constellation were used. These satellites operate 24 h a day, 7 days a week, and collect weekly and even daily images worldwide, allowing for observation of land cover [40][41][42]. Table 1 describes the data sources used in this regional analysis, prioritizing freely accessible cartographic data, allowing for replication and/or adaptation according to the specific requirements and conditions of the area to be evaluated.…”

Section: Data Sourcementioning

confidence: 99%

Multicriteria Analysis in Apiculture: A Sustainable Tool for Rural Development in Communities and Conservation Areas of Northwest Peru

Cotrina-Sanchez,

García,

Calle

et al. 2023

Land

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Apiculture plays a vital role in maintaining a genetically diverse ecosystem and is an economic activity that contributes to the development of rural communities, thereby enhancing the livelihoods of beekeepers. However, despite the presence of over forty thousand beekeepers in Peru, there is currently no cartographic information available on optimal areas for the development of apiculture. Our study focused on assessing the suitability of land for apiculture development in rural and indigenous communities within the Amazonas Department in northwest Peru. We integrated biophysical and socioeconomic criteria using the Multiple Criteria Evaluation (MCE) technique, in conjunction with state-of-the-art geoinformation and earth observation techniques, to model and validate land suitability for supporting apiculture. It was identified that suitability is influenced by biophysical criteria (65%) and socioeconomic criteria (35%), resulting in highly suitable areas covering 315.6 km2 within the territory of peasant communities, 128.4 km2 within native communities, and an additional 41.4 km2 within conserved areas. Furthermore, to validate our results, we combined the use of high-resolution satellite imagery and visits to artisanal producers. This research provides valuable insights for spatiotemporal land use planning, emphasizing apicultural activity as a driver of rural development and biodiversity conservation. Consequently, this study contributes as a management tool to promote apicultural activities as support for rural development and in local-level decision making.

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Utility of commercial high‐resolution satellite imagery for monitoring general flowering in Sarawak, Borneo

Cited by 10 publications

References 57 publications

Consistency in Verreaux's sifaka home range and core area size despite seasonal variation in resource availability as assessed by Enhanced Vegetation Index (EVI)

Consistency in Verreaux's sifaka home range and core area size despite seasonal variation in resource availability as assessed by Enhanced Vegetation Index (EVI)

Relationship between tropical leaf phenology and ecosystem productivity using phenocameras

Multicriteria Analysis in Apiculture: A Sustainable Tool for Rural Development in Communities and Conservation Areas of Northwest Peru

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