Spatial Harvesting
Spatial Harvesting is a renewable resource management strategy that belongs to the class of harvesting models and is distinguished by its explicit consideration of geographic distribution and spatial heterogeneity in the allocation and timing of resource extraction to optimize ecological sustainability and yield efficiency.
38
Publications
1.5K
Citations
117
Authors
69
Institutions
Publications per year
2017–2026
9
38
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117
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69

Swedish University of Agricultural Sciences
Uppsala, Sweden
2 h-index
3 publications
75 citations
Williams (United States)
Tulsa, United States
2 h-index
5 publications
76 citations
Woods Hole Oceanographic Institution
Falmouth, United States
2 h-index
2 publications
219 citations

Harbin Normal University
Harbin, China
2 h-index
5 publications
76 citations
William & Mary
Williamsburg, United States
2 h-index
5 publications
76 citations
Honeybee Robotics (United States)
Brooklyn, United States
1 h-index
3 publications
75 citations
International Institute for Applied Systems Analysis
Laxenburg, Austria
1 h-index
1 publications
18 citations
China Agricultural University
Beijing, China
1 h-index
6 publications
108 citations
1–8 of 69
3 publications · 110 citations
3
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2 publications · 35 citations
2
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2 publications · 49 citations
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1 publications · 18 citations
1
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1 publications · 39 citations
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1–5