᬴ܱૠྸᄂᆮЎ᣼࢖ࢪࣥࢢィ⟬ᶵ࡬ࡢࣈ࣮ࢫࢸ࢕ࣥࢢᢏ⾡ࡢ㐺⏝ࢆࡵࡊࡍࠋ
ࢯࣇࢺ࢙࢘࢔ࣞ࢖ࣖ࠾ࡼࡧィ⟬ᶵࣞ࢖ࣖ࡟㛵ࡋ࡚ࡣࠊᩘ⌮⛉Ꮫࡢ▱ぢࡀᚲせ࡜࡞ࡿࡓࡵࠊᩘ⌮⛉Ꮫศ㔝࡜ࡢ㐃ᦠ࡟ࡼ

ᐈဨᩍᤵ
ຓ

ᩍ

ᒣᒸ 㞞┤㸦2016ᖺ6᭶㹼⌧ᅾ㸧
JUSUP Marko㸦2016.3㹼2018.3㸧

ࡾࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡ࡢ㛤Ⓨ࡜࢖ࢪࣥࢢࣔࢹࣝࡢ࢚ࢿࣝࢠ
࣮ࣛࣥࢻࢫࢣ࣮ࣉࡢゎᯒᢏ⾡ࡢ㛤Ⓨࢆ⾜࠺ࠋ*2018㹼ࠊᮾிᕤᴗ኱Ꮫࠊ≉௵ຓᩍ≔≑ᄂᆮႸ೅‒㸦2㸧⤫ྜⓗ࡛ࢢ࣮ࣟࣂࣝ࡞どⅬ࡟❧ࡗࡓ◊✲ࡣࠊ♫఍࡟࡜ࡗ࡚ᐇ⏝ୖ㔜せ࡞ၥ㢟࡟ྲྀࡾ⤌ࡴྍ⬟ᛶࢆ⛎ࡵ࡚࠸ࡿࠋ

㸦1㸧ᐇ㦂ᩘ⌮◊✲ศ㔝࡛ࡣࠊࡇࢀࡲ࡛ࡢࢥࣥࣆ࣮ࣗࢱࡢ

ࡇࡢ◊✲࡛ྲྀࡾ⤌ࡴලయⓗ࡞ၥ㢟ࡣࠊ⏕ែᏛ࠿ࡽ⏕≀Ꮫࠊᛶ⬟ྥୖࢆᢸࡗ࡚ࡁࡓ༙ᑟయࡢᚤ⣽໬ࡀ⤊↉ࢆ㏄࠼ࠊࢥࣥ♫఍Ꮫࠊࡉࡽ࡟ࡣ⤒῭Ꮫ࡟⮳ࡿࡲ࡛㠀ᖖ࡟ከᵝ࡞㉳※ࢆᣢ

ࣆ࣮ࣗࢱࡢᛶ⬟ࡀྥୖࡋ࡞ࡃ࡞ࡿ㏆࠸ᑗ᮶࡟ྥࡅ࡚ࠊ᪂ࡋ

ࡘ࠿ࡶࡋࢀ࡞࠸ࡀࠊᩘᏛࡢᬑ㐢ⓗゝㄒ࡟⩻ヂࡉࢀࡿ࡜ࠊࡇ

࠸ືసᴫᛕࢆ⏝࠸ࡓࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢᡭἲࡢ㛤Ⓨࢆࡵࡊࢀࡽࡢၥ㢟ࡢ᰿ᗏ࡟࠶ࡿཎ๎ࡸࣉࣟࢭࢫ➼ࡣྠᵝࡢᙧ࡟࡞ࡍࠋ≉࡟ࠊ⮬↛⌧㇟ࡢ๰Ⓨ⌧㇟ࢆ⏝࠸ࡓ᪂ᴫᛕࢥࣥࣆ࣮ࣗ

ࡿࠋࡇࡢᙧࢆㄆ㆑ࡋࠊ
ᑐᛂࡍࡿືⓗᛶ㉁ࢆ⌮ゎࡍࡿࡇ࡜ࡣࠊ

ࢸ࢕ࣥࢢࢆ㢟ᮦ࡟ࡋࠊࡇࢀࡲ࡛ࡢࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢᡭἲRIES ࡛ᅜෆእࡢඹྠ◊✲⪅࡜ඹ࡟⾜ࢃࢀࡓศᯒࡢ୰᰾࡛

࡛ࡣᐇ⌧࡛ࡁ࡞࠿ࡗࡓィ⟬౯್ࢆ⏕ࡳฟࡍࡇ࡜ࢆࡵࡊࡍࠋ

࠶ࡿࠋ᪂ᴫᛕࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢࡢᐇ⏝໬࡟ྥࡅ࡚ࡣࠊ♫఍ㄢࡇࡢ◊✲ࡢ᭱ࡶ㔜せ࡞┠ⓗࡣࠊ」㞧࡞⏕ែᏛⓗࠊ⏕≀Ꮫ㢟࠿ࡽᐇ㝿࡟ࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢᢏ⾡ࢆ㐺⏝ࡍࡿ࢔ࣉࣜࢣ

ⓗࠊ♫఍Ꮫⓗࠊ⤒῭Ꮫⓗ⌧㇟ࡢᩘᏛⓗࣔࢹࣝࢆᐃᘧ໬ࡋࠊ

࣮ࢩࣙࣥࢆᢳฟࡋࠊ⮬↛⌧㇟࡟࣐ࢵࣆࣥࢢࡍࡿᩘ⌮ࣔࢹࣝࡇࢀࡽࡢၥ㢟ࡢືⓗᛶ㉁ࢆศᯒࡍࡿࡇ࡜࡛࠶ࡿࠋ ࡲࡓࠊ♫໬ࡢᢏ⾡ࡀᚲせ࡜࡞ࡿࠋ௒ᅇࠊࡇࡢ⮬↛⌧㇟࡜ࡋ࡚ࠊ☢ᛶ఍࡟࡜ࡗ࡚ᐇ⏝ⓗ࡞ព࿡ࢆᣢࡘゎỴ⟇ࢆぢࡘࡅࡿࡇ࡜ࡀ┠యࡢ᣺ࡿ⯙࠸ࢆ⾲ࡍ࢖ࢪࣥࢢࣔࢹࣝࢆ⏝࠸ࡿࡇ࡜࡛ࠊ⤌ྜⓗ࡛࠶ࡿࠋࡏ᭱㐺໬ၥ㢟ࡀゎࡅࡿ࡜࠸࠺ࡇ࡜࡟╔┠ࡋࠊ࢖ࢪࣥࢢࣔࢹ

ࡇ࠺࠸࠺┠ⓗࢆᯝࡓࡍࡓࡵࠊ3 ࡘࡢ୺せ࡞┠ⓗ࡟↔Ⅼࢆࣝࢆ⏝࠸ࡓィ⟬ᶵࢆ᳨ウࡋ࡚࠸ࡿࠋࡇࡢ࢖ࢪࣥࢢࣔࢹࣝࢆ

ᙜ࡚ࡓ㸸⏝࠸ࡓᩘ⌮ࣔࢹࣝ໬࡟ࡼࡾࠊ࢖ࢪࣥࢢࣔࢹࣝ࡟࣐ࢵࣆࣥࢢ

• ࢚ࢿࣝࢠ࣮ィୖࡢ࢔ࣉ࣮ࣟࢳࢆ౑ࡗ࡚ࠊ⏕≀ࡀ⎔ቃኚ໬ࡉࢀࡓ⤖ᯝࡣ㏻ᖖࡣ♫఍୍⯡ࡢᙧࢆ࡜ࡿࡓࡵ」㞧࡞ࢿࢵࢺ࡟࡝ࡢࡼ࠺࡟཯ᛂࡍࡿ࠿࡜࠸࠺ࡢࢆ᫂ࡽ࠿࡟ࡍࡿࡇ࡜ࠋ

࣮࣡ࢡᵓ㐀ࢆ࡜ࡗ࡚࠸ࡿࠋ୍᪉࡛ࠊ⌧ᅾࡢᐇ⿦ᢏ⾡ࢆ⪃࠼• ♫఍ⓗࢪ࣐ࣞࣥ࡟┤㠃ࡋࡓ᫬ࡢே㛫⾜ືࢆࡼࡾࡼࡃ⌮ゎࡿ࡜᪂ࡋ࠸ᴫᛕࡢ࢖ࢪࣥࢢィ⟬ᶵࢆᐇ⌧ࡍࡿࣁ࣮ࢻ࢙࢘࢔

ࡍࡿࡇ࡜ࠋ࡛ࡣࠊ኱つᶍ໬ࡸ㧗ᛶ⬟໬࡟ྥࡅ࡚つ๎ⓗ࡞ࢿࢵࢺ࣮࣮࣡
ࢡᵓ㐀ࡋ࠿⾲⌧࡛ࡁࡎࠊࡑࡇ࡟ࣔࢹࣝ໬ࡋࡓ⤖ᯝ࡜ࡢ஋㞳• ⎔ቃ≧ἣ࡟ᛂࡌ࡚⏕≀㈨※ࡢືែࠊཪࡇࢀ࡟ᑐࡍࡿே
㛫⾜ືࢆண

ࡍࡿࡇ࡜ࠋ

ࡀ⏕ࡲࢀࡿࠋࡑࡇ࡛ࠊ♫఍ࡢ」㞧࡞ࢿࢵࢺ࣮࣡ࢡᵓ㐀࠿ࡽつ๎ⓗ࡞ࢢࣛࣇ࡬ࡢㄢ㢟ࢆᇙࡵ㎸ࡳࡇ࡜࡟ࡼࡗ࡚ࠊ」㞧࡞♫఍ၥ㢟ࢆ᪂ࡋ࠸ࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢᢏ⾡࡛ゎࡃࡇ࡜ࡀྍ

≕≑ᄂᆮ঺ௐ‒⬟࡜࡞ࡿࠋࡼࡗ࡚ࠊᮏ◊✲ศ㔝࡛ࡣࠊࡇࡢࢿࢵࢺ࣮࣡ࢡᵓ

㸦1㸧࢔ࣉࣜࢣ࣮ࢩࣙࣥࣞ࢖࡛ࣖࡣࠊ᝟ሗ⛉Ꮫ◊✲⛉ࡸಖ㐀ࢆᇙࡵ㎸ࡴࡓࡵࡢࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡ࡢ㛤Ⓨࢆ⾜࠺ࠋ೺⛉Ꮫ◊✲㝔࡜ࡢ㐃ᦠయไࢆᵓ⠏ࡋࠊᶵᲔᏛ⩦ᛂ⏝ࡸ㎰஦ࡉࡽ࡟ࠊ᪂ࡋ࠸ᴫᛕࡢࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢᢏ⾡࡛ࡣࠊࡑィࢹ࣮ࢱ࡬ࡢᛂ⏝࡟㛵ࡍࡿ◊✲ࢆ㐍ࡵࡓࠋ≉࡟ࠊᶵᲔᏛ

ࡢࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢཎ⌮⮬యࡀᩘ⌮⛉Ꮫࡢཎ⌮࡟ᇶ࡙࠸⩦ᛂ⏝࡟ࡘ࡞ࡀࡿᢏ⾡࡜ࡋ࡚ࠊࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡(ᅗ 1)࡟

࡚࠾ࡾࠊࡇࡢᛶ⬟ࢆྥୖࡉࡏࡿࡓࡵ࡟ࡣᩘ⌮⛉Ꮫⓗ࡞ゎᯒࣇ࢛࣮࢝ࢫࡋࡓࠊ⏘Ꮫ㐃ᦠึ࡜࡞ࡿ໭኱࣭᪥❧ࣉࣟࢢ࣑ࣛࡀᚲせ࡜࡞ࡿࠋࡓ࡜࠼ࡤࠊ⮬↛⌧㇟ࡢ཰᮰ືసࢆ⏝࠸ࡓࢥࣥࢢࢥࣥࢸࢫࢺࢆ㛤ദࡋࡓࠋࣥࣆ࣮ࣗࢸ࢕ࣥࢢᢏ⾡࡛ࡣࠊࡑࡢ཰᮰ືసࢆ࡝ࡢࡼ࠺࡟ࡋ
࡚ࢥࣥࣆ࣮ࣗࢱୖ࡟෌⌧ࡍࡿ࠿ࡣ኱ࡁࡃࢥࣥࣆ࣮ࣗࢱࡢᛶ
⬟࡟ᙳ㡪ࡍࡿࠋࡇࡢ཰᮰ືసࢆᩘ⌮ⓗ࡞⌮ㄽ࡟ᇶ࡙࠸࡚ゎᯒࡋࠊࡑࢀࢆᐇ㝿ࡢࣁ࣮ࢻ࢙࢘࢔ୖ࡟෌⌧ࡍࡿࡇ࡜ࡀᚲせ࡜࡞ࡿࠋᮏ◊✲ศ㔝࡛ࡣࠊࡇ࠺࠸ࡗࡓᩘ⌮໬Ꮫ࡟ᇶ࡙࠸ࡓ
ࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢࡢືసཎ⌮ࡢᨵၿࡶࡵࡊࡍࠋ
ࡇࡢࡼ࠺࡟ࠊᮏ◊✲ศ㔝࡛ࡣࠊᩘ⌮⛉Ꮫࢆ⏝࠸࡚ࠊᐇ♫ӲἋἦὅửᙐᙌẲẆ੗ዓ᧙̞ử̬ਤẴỦ఍࡟ᙺ❧ࡘ᝟ሗ⛉Ꮫࡢᢏ⾡ࢆ☜❧ࡍࡿࡇ࡜ࢆࡵࡊࡍࠋ
2017ᖺᗘࡣࠊ࢖ࢪࣥࢢィ⟬ᶵࡢᛶ⬟ྥୖཬࡧᐇᛂ⏝ࡢ㛤ᣅࢆࡵࡊࡋࠊࡑࢀࡒࢀࡢࢱ࣮ࢤࢵࢺ࡟࡜ࡗ࡚ᚲせ࡞㐃ᦠඛ࡜㆟ㄽࡍࡿࡇ࡜࡛ࠊࡇࢀࡽࡢㄢ㢟ࢆ㐩ᡂࡍࡿࠋࡼࡾ≉ᐃⓗ࡟ࡣࠊ࢔ࣉࣜࢣ࣮ࢩࣙࣥࣞ࢖ࣖ࡟㛵ࡋ࡚ࡣࠊᶵᲔᏛ⩦ศ㔝ࡢ▱ぢࡀᚲせ࡜࡞ࡿࡓࡵࠊ᝟ሗ⛉Ꮫศ㔝࡜ࡢ㐃ᦠ࡟ࡼࡾࠊ

ᅗ 1: ࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡ࠋ࢔ࣉࣜࢣ࣮ࢩࣙࣥ࡜ࡘ࡞ࡀࡿඖࡢ
ၥ㢟ࡢ」㞧࡞ࢢࣛࣇᵓ㐀ࢆࣁ࣮ࢻ࢙࢘࢔ୖࡢつ๎ⓗ࡞ࢢࣛࣇᵓ㐀࡟⨨ࡁ᥮࠼ࡿᢏ⾡ࠋඖࡢၥ㢟ࡢ୍ࡘࡢࢫࣆࣥࢆࣁ࣮ࢻ࢘
࢙࢔ୖࡢ」ᩘࡢࢫࣆ࡛ࣥ⾲⌧ࡍࡿࡇ࡜࡛ࠊ᥋⥆㛵ಀࢆಖᣢࡋࠊ
ၥ㢟ࢆ⨨ࡁ᥮࠼ࡿࡇ࡜ࡀྍ⬟ࠋࡇࡢࣉࣟࢢ࣑ࣛࣥࢢࢥࣥࢸࢫࢺࡣࠊ2017/11㹼12 ᭶࡟Webࢆ☜ㄆࡋࡓࠋ

ୖ࡛⾜ࢃࢀࡓࠋࢥࣥࢸࢫࢺୖ࡛ࡣࠊཧຍ⪅ࡀゎ⟅ࢆWebୖ࡟࢔ࢵࣉࢹ࣮ࢺࡍࡿ࡜ࡑࡢሙ࡛᥇Ⅼࡀ⾜ࢃࢀࠊ㡰఩ࡀኚື

㸦2㸧ࡇࡢ◊✲࡛ࡣ」ᩘࡢ⤖ᯝࡀᚓࡽࢀࡓࠋୗグྛ⤖ᯝ࡟ࡋ࡚㏻▱ࡉࢀࡿ࡜࠸࠺ᙧࢆ࡜ࡗࡓࠋࡑࡢࡓࡵࡢࠊ᥇Ⅼࡢᇶࡘ࠸࡚⡆༢࡞ㄝ᫂ࡀྵࡲࢀ࡚࠸ࡿࠋ

‽ࡸ௙⤌ࡳ࡞࡝ࢆ᝟ሗ⛉Ꮫ◊✲⛉࡜㐃ᦠࡋ࡚సࡾୖࡆࠊᐇ

• We examined whether two widely known cooperation-promot-㝿࡟ࢥࣥࢸࢫࢺୖ࡛ࣜ࢔ࣝࢱ࢖࣒࡟᥇Ⅼࢆ⾜࠺ࡇ࡜ࢆྍ⬟ing mechanisms—network reciprocity and costly punishment—࡜ࡋࡓࠋࢥࣥࢸࢫࢺࡣࠊࢢࣛࣇᇙࡵ㎸ࡳ࡟㛵㐃ࡍࡿㄢ㢟 2create synergies in social dilemma experiments. While networkၥࢆࡑࢀࡒࢀ 2 㐌㛫ࡎࡘ࠿ࡅ࡚ゎࡃᙧ࡜ࡋ࡚ᐇ᪋ࡋࡓࠋ1

reciprocity fulfilled its expected role, costly punishment provedၥ┠ࡣࠊ᭱㐺໬ၥ㢟ࡢ㏆ఝゎࢆᚓࡿ㝿࡟౑࠼ࡿᇙࡵ㎸ࡳᢏ

to be surprisingly ineffective in promoting cooperation. This in-⾡࡜ࡋ୍࡚㒊ࡢ᥋⥆᝟ሗࡀኻࢃࢀ࡚ࡶຠ⋡ⓗ࡟ᇙࡵ㎸ࡴࡇ

effectiveness suggests that the rational response to punishment࡜ࡢᢏ⾡࡟㛵ࡍࡿၥ㢟ࠊ2 ၥ┠ࡣ᭱㐺ゎࡢṇ☜࡞ゎࡀᚲせassumed in theoretical studies is overly stylized and needs࡞ሙྜ࡟౑࠼ࡿᢏ⾡࡜ࡋ࡚ࡍ࡭࡚ࡢ᥋⥆᝟ሗࢆ⥔ᣢࡋᙎmreexamining.

ຠ⋡ⓗ࡟ᇙࡵ㎸ࡴᢏ⾡࡟㛵ࡍࡿၥ㢟ࢆタᐃࡋࡓࠋ1 ၥ┠ࡣࠊ1) Li X-L, Jusup M, Wang Z, Li H-J, Shi L, Podobnik B, Stanley HE,

973 ྡࡀⓏ㘓ࡋࠊ296 ྡࡀゎ⟅ࢆᥦฟࡋࡓࠋ2 ၥ┠ࡣࠊၥ㢟Havlin S, Boccaletti S (2018) Punishment diminishes the benefits of⮬యࡀከᑡ㞴ࡋ࠿ࡗࡓࡇ࡜ࡶ࠶ࡾࠊ446 ྡࡀⓏ㘓ࡋࠊ126 ྡ

network reciprocity in social dilemma experiments. Proc Natl Acadࡀゎ⟅࡜ᥦฟࡋࡓࠋᙜึ᝿ᐃࡋࡓ௨ୖࡢᛶ⬟ࡢゎ⟅ࡀ㞟ࡲ

Sci USA 115: 30-35.

ࡾࠊ㠀ᖖ࡟ࣞ࣋ࣝࡢ㧗࠸ࢥࣥࢸࢫࢺ࡜࡞ࡾࠊࡑࡇ࡛ᚓࡽࢀ
ࡓࢥ࣮ࢻ࡟ࡼࡾࠊᐇ㝿࡟ᇙࡵ㎸ࡴຠ⋡ࡀ㧗ࡃ࡞ࡾࠊ100 ࢫ؈ỜᡂỚᄩྙ

ࣆࣥ௨ୖᇙࡵ㎸ࡵࡿつᶍࡀᣑ኱ࡍࡿࡇ࡜ࢆ☜ㄆࡋࡓ(ᅗ 2)ࠋ

੩క৖ඥ
ࢼஹ
৖ඥ

Ἃἦὅૠ

ᅗ 2: ࣉࣟࢢ࣒ࣛࢥࣥࢸࢫࢺࡢඃ຾ࢥ࣮ࢻࢆ⏝࠸ࡓሙྜࡢຠ
ᯝࠋ100%ࡢࢫࣆࣥࢆᇙࡵ㎸ࡴࡀᚲせ࡜࡞ࡿࡀࠊᚑ᮶ᡭἲ࡜ẚ㍑
ࡋ࡚ 100 ࢫࣆࣥ௨ୖຠ⋡ࡀྥୖࡋ࡚ᇙࡵ㎸ࡵࡿࢫࣆࣥᩘࡀ 2.3
ಸ⛬ᗘ࡟ྥୖࡋ࡚࠸ࡿࡇ࡜ࡀ☜ㄆ࡛ࡁࡿࠋࡇࢀࡣࠊࡉࡽ࡟኱つᶍ࡞ၥ㢟࡛ࡣࡉࡽ࡟ᇙࡵ㎸ࡵࡿࢫࣆࣥᩘࡀቑ኱ࡍࡿࡇ࡜ࢆ♧ࡋ࡚࠸ࡿࠋ

ᅗ 3 How cooperation develops due to network reciprocity
and how punishment fails toimprove overall cooperativeness.

• Cyprinid fishes are often hypothesized to be less sensitive toࡉࡽ࡟ୖグࡢࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡ࢆ⏝࠸࡚ࠊᶵᲔᏛ⩦ࡢ

chemical stress than comparable fish families, yet few empirical୍✀࡛࠶ࡿࣈ࣮ࢫࢸ࢕ࣥࢢᢏ⾡࡬ࡢᛂ⏝ᢏ⾡ࡢ㛤Ⓨࢆ⾜ࡗtests of this hypothesis exist. We developed a statistical modelࡓࠋࡇࢀࡣࠊQboost࡜࿧ࡤࢀ࡚࠸ࡿ࢔ࣝࢦࣜࢬ࣒࡛ࠊᙅศ

in which the no-effect concentrations (NECs) of 29 fish species㢮ჾ࡜࿧ࡤࢀࡿ㆑ูჾࢆ」ᩘ⤌ࡳྜࢃࡏ࡚ᙉศ㢮ჾࢆᵓᡂfrom 13 families exposed to an acetylcholinesterase inhibitorࡍࡿᢏ⾡࡛࠶ࡿࠋᶵᲔᏛ⩦࡛ࡣࠊᏛ⩦࡟ࡼࡾࡇࡢᙉศ㢮ჾ

pesticide (carbaryl, chlorpyrifos, or malathion) were used as theࡢ⢭ᗘࢆྥୖࡉࡏࠊᏛ⩦࡟ࡼࡿศ㢮ᛶ⬟kᏐࢆྥୖࡉࡏࡿᢏ

response variable. Our results indicate that the NECs for cy-⾡࡛࠶ࡿࠋࡇࡇ࡟ࠊୖグࡢࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡ࠊ≉࡟ࣉࣟ

prinid fishes were significantly higher than those for other fishes,ࢢ࣒ࣛࢥࣥࢸࢫࢺࡢၥ㢟 1 ࡛ฟ࡚ࡁࡓᢏ⾡ࢆ౑࠺ሙྜ࡟ࡣࠊ

suggesting that cyprinids are indeed less sensitive to the three୍㒊᝟ሗࡀຎ໬ࡋ࡚ࡋࡲ࠺ࡓࡵࡑࡢ㒊ศࢆ⿵ൾࡍࡿᚲせࡀ

studied pesticides.

࠶ࡿࠋࡑࡇࢆࠊ࢖ࢪࣥࢢࣔࢹࣝࡢእ㒊☢ሙಀᩘ࡟⿵ൾࣃࣛ

1)Iwasaki Y, Jusup M, Shibata K, Nagai T, Kashiwada S (2018)࣓࣮ࢱࢆ௜ຍࡍࡿࡇ࡜࡛⿵ൾࡍࡿ࢔ࣝࢦࣜࢬ࣒ࢆᥦ᱌ࡋࠊ

Lower sensitivity of cyprinid fishes to three acetylcholinesterase in-

FPGA࡟ᐇ⿦ࡋࡓࠋࡑࢀ࡟ࡼࡾࠊᚑ᮶ࡢCPU࡛ィ⟬ࡋࡓሙྜ

hibitor pesticides: an evaluation based on no effect concentrations.

࡟ࡣ⣙ 4 ᫬㛫࠿࠿ࡿィ⟬ࢆࠊFPGAୖ࡛ 5 ⛊࡛ᐇ⾜࡛ࡁࡿLimnology 19: 1-5.

ࡇ࡜ࢆ☜ㄆࡋࠊࡲࡓQboost࡛ࡢ⦾⳹ᛶ⬟ࡀຎ໬ࡋ࡞࠸ࡇ࡜

• Living complex systems create functionalities by pairing up

right-wing populism in response to unbalanced immigration. Com-

complementary processes, one to build and another to correct

plexity 2017: 1580526.

and clean the space for more building. When these processes• Overuse of common-pool resource often occurs due to theare embedded into mutually exclusive phases, establishing arational act from the perspective of one’s own self-interest.

balance between them requires a phase flipping mechanism. We

Although punishing those harvesters who overuse the resource

demonstrated that when a neuronal network flipping between

may seem as a straightforward solution, a number of practicalexcited and resting phases gives rise to a statistical conserva-

problems arise. For example, if harvester delegate the enforce-tion law of synaptic strength. Furthermore, this law is selected

ment to a specialised entity (consisting of e.g. police officers,

by evolution regardless of the network’s initial state, thus rec-inspectors, rangers etc.), curbing corruption becomes a major

onciling biology with the physical concept of self-organizedchallenge. We extended an existing simplistic evolutionary gamecriticality.

model of corruption by combining it with the resource dynamics

1) Podobnik B, Jusup M, Tiganj Z, Wang W-X, Buldú JM, Stanley

to establish a more general and powerful analytical framework.

HE (2017) Biological conservation law as an emerging functionality

In this framework, in addition to the usual socio-economic in-in dynamical neuronal networks. Proc Natl Acad Sci USA 114: 11826-

centives, ecological parameters also affect the prospects of11831.

reaching a cooperative outcome. We find, for example, that the• Understanding the relationship between the environmental

more resilient the resource (as implied by a high growth rate),conditions and life-history traits, such as growth, reproduction,

the more likely the dominance of corruption. This result indi-and size at specific life stages, is important for understanding

cates that illegal logging and fishing observed in productive ter-the population dynamics of a species and for constructing

restrial and marine ecosystems, respectively, are encouraged byadaptable, relevant, and efficient conservation measures. Using

the ecological characteristics of these systems. Although one

a mechanistic modeling approach adapted to an endangeredmight expect that in productive ecosystems, a high resource

species of marine turtles (the loggerhead turtle), we found thatgrowth rate should dramatically improve the profits of harvest-

the ultimate size (length and mass) is primarily affected by fooders who cooperate, a deeper level of analysis reveals that theavailability, whereas growth and maturation are primarily af-

incentive for overusing the resource arises from the increasing

fected by temperature whilst also showing positive correlation

opportunity cost incurred by cooperators who sustainably re-with available food. Reproduction increases with both foodstrain their efforts.

availability and temperature because food availability deter-

1) Lee J-H, Jusup M, Iwasa Y (2017) Games of corruption in prevent-mines energy investment into egg production, and temperature

ing the overuse of common-pool resources. J Theor Biol 428: 76-86.

affects the rate of related processes (such as vitellogenesis).

• Social-dilemma and other socio-economic experiments often

1) Marn N, Jusup M, Legovic T, Kooijman SALM, Klanjscek Trequire full anonymity to avoid the effects of multiple com-

(2017) Environmental effects on the life-history and metabolism ofpounding factors. However, the main mechanisms for the evo-

loggerhead turtles. Ecol Model 360: 163-178.

lution of cooperation share one common characteristic—reduced• Among the central tenets of globalization is the free migration

anonymity relative to a primitive, well-mixed population. Ac-of labor, but little is known about how antiglobalist sentimentcordingly, we conducted a social dilemma experiment to test

can be affected by high levels of immigration. We analyzed poll

whether onymity bolsters cooperation in a repeated Prisoner’s

data from EU countries at the center of the recent migrant crisis,

dilemma game with anonymous and onymous pairwise encoun-and found that in the period from 2015-2017 the percentage ofters. We found that the frequency of cooperation and the me-

right-wing (RW) populist voters in any given country depends

dian payoff per round increase significantly under onymity rela-on the prevalence of immigrants in this country’s population

tive to anonymity. More importantly, the correlation between

and the total immigration inflow into the EU as a whole. The

players’ rank and the use of strategies (cooperation, defection,

latter phenomenon is likely caused by the EU's organization asor punishment) undergoes a significant change, rewarding ony-a supranational state---lacking inner borders means thatmous prosocial actions with a higher ranking. The main conclu-“someone else’s problem” easily become “my problem.” Fur-sion is that prosocial behavior under onymity pays back or, inthermore, the increase in the percentage of RW voters consid-

layman’s terms, that winners play nice.

erably exceeds the percentage of immigration inflow. Therefore,

1) Wang Z, Jusup M, Wang R-W, Shi L, Iwasa Y, Moreno Y, Kurths,

if the fast immigration process continues, ongoing democratic

J (2017) Onymity promotes cooperation in social dilemma experi-

processes will cause RW populism to prevail and globalization

ments. Sci Adv 3: e1601444.

to rapidly decrease. We locate tipping points between the fraction of immigrants and the rise of RW populism.
1) Podobnik B, Jusup M, Stanley HE (2017) Predicting the rise of EU

1) Van Beveren E, Fromentin J-M, Bonhommeau S, Nieblas A-E, Metral L, Brisset B, Jusup M, Bauer RK, Brosset P, Saraux C (2017) Prey
predator interactions in the face of effective management strategies:changes in Mediterranean small pelagics are not due to increased tuna
predation. Can J Fish Aquat Sci 74: 1422-1430.

• Immigration issues, in addition to being an often polarizing social topic, represent an interesting problem of non-equilibrium
thermodynamics. If the immigration inflow is out of balance with
the integration rate of a society, potentially dangerous conflicts
may arise. We modeled how the social fabric—described by combining the elements of evolutionary games and complex networks—responds to different immigration scenarios. Subsequently, we isolated those scenarios that may disrupt the normal
ᅗ 4 Onymous situation promotes cooperation relative toan anonymous one although there
are no purely rational reasons for this.

functioning of the society and identified the characteristics of
successful immigration policies. In particular, these characteristics require that: (i) the tolerance of insiders is in balance with

• Loggerhead turtle is an endangered sea turtle species with amigratory lifestyle and worldwide distribution, experiencing
markedly different habitats throughout its lifetime. We provide
new information on biology and ecology of this species by: (i)Synthesizing existing information on loggerhead turtles and assimilating several decades worth of jointed data sets into a fulllife cycle model built on the principles of a general metabolic
theory. (ii) Exploring the physiological energetics of the loggerhead turtle in terms of hard-to-obtain indicators such as thetime to reserve depletion under starvation or an energy budget
encompassing all phases of ontogeny. Furthermore, we utilized
a unifying methodology which is immediately applicable to othersea turtles and, in fact, organisms of other marine species, thus
setting the stage for future extensive studies in comparative
physiological energetics.
1) Marn N, Kooijman SALM, Jusup M, Legovic T, Klanjscek T(2017) Inferring physiological energetics of loggerhead turtle (Caretta
caretta) from existing data using a general metabolic theory. Mar Environ Res 126: 14-25.

• The abundance of young Atlantic bluefin tuna tripled in thenorthwestern Mediterranean following effective management
measures in recent years. This raised a question: Has predationof bluefin tuna on sardine and anchovy been responsible for biomass decline of these small pelagic fish species? A multifactor
analysis combining: (i) the observed diet composition of bluefin
tuna, (ii) their modelled daily energy requirements, (iii) their
population size, and (iv) the abundance of prey species in thearea collectively yielded the proportion of the prey populations
that were consumed by bluefin tuna annually between 2011–2013. We estimated that the annual consumption of small pelagic fish by bluefin tuna is less than 2% of the abundance of
these populations. Tuna predation, therefore, is unlikely to be
the main cause of major changes in the small pelagic fish populations from northwestern Mediterranean.

the assimilation of outsiders, (ii) the tolerant insiders maintaina sustainable majority, and (iii) any reduction in benevolence ofthe majority occurs smoothly.
1) Podobnik B, Jusup M, Wang Z, Stanley HE (2017) How fear of
future outcomes affects social dynamics. J Stat Phys 167: 1007-1019.

• We reviewed Dynamic Energy Budget (DEB) theory—likely themost potent macroscopic unifying theory in biology today. The
theory, with a special focus on fundamental laws of physics, unifies processes on multiple scales of biological organization intoa single modeling framework: (i) nano- and micro-scale level byutilizing concepts in molecular biology (molecular transport andtransformation, enzyme kinetics, and regulation) to arrive atfunctionals describing state variables necessary for organism
function; (ii) sub-organismal level by capturing fluxes of material
and energy within functional compartments; (iii) organismallevel by describing growth, reproduction, and aging of organisms
as determined by the environmental conditions experienced by
the organism; (iv) population-level through creation of DEBbased population models; and even (v) ecosystem-level by capturing feedbacks between the environment and the population.
Our review offers considerable advantages over previous ones:
focus on fundamental laws of physics rather than just operational descriptions of the work; step-by-step derivation of thefundamentals and the standard DEB model; and demonstrationsof how DEB has already been used in achieving points (i)-(v)above. These demonstrations are crucial for bridging the gap
between often disjointed disciplines of physics and life sciences:while the theoretical introduction will appeal to the former, theexamples will bring home the message to the latter.
1) Jusup M, Sousa T, Domingos T, Labinac V, Marn N, Wang Z,
Klanjscek T (2017) Physics of metabolic organization. Phys Life Rev
20: 1-39.

on such statistical properties as degree centrality (the numberof neighbors a node has) or betweenness centrality (the numberof shortest paths between any two nodes in a network on whicha given node lies). Recognizing the need for efficient and practical immunization, we drew inspiration from an amoeboid organism capable of performing complex computational tasks todevise a strategy that considers both the number of neighbors
a node has and the way the neighbors are linked among themᅗ 5 All heterotrophic aerobes perform three types ofmacroscopic transformations: assimilation, growth, anddissipation. Oxygen is consumed in the process, while
inorganic metabolites (ammonia, water, and carbon dioxide) are excreted into the environment. Feces is a result of the digestive system's inefficiencies.

selves. The resulting immunization strategy performs at least as
good as its strongest competitor, but usually considerably better (2 to 20 times). Ours is, therefore, an important contribution
to immunization science of immediate interest to medical scientists, as well as public health officials looking for methods to• Infectious diseases are a threat to human health and a hin-control epidemics.

drance to societal development. Consequently, the spread of

1) Liu Y, Deng Y, Jusup M, Wang Z (2016) A biologically inspired

diseases in both time and space has been widely studied, re-immunization strategy for network epidemiology. J Theor Biol 400:

vealing the different types of spatial patterns. Transitions be-

92-102.

tween patterns are an emergent property in spatial epidemics
that can serve as a potential trend indicator of disease spread.
Despite the usefulness of such an indicator, attempts to sys-≖≑ʻࢸ↝ᄂᆮ↝‫ޒ‬ஓ‒

tematize the topic of pattern transitions have been rare. We

㸦1㸧2017ᖺᗘࡣࠊࢢࣛࣇᇙࡵ㎸ࡳᢏ⾡ࢆ㛤Ⓨࡋࠊࡑࡢࣈ

reviewed pattern transitions in spatial epidemiology, describing࣮ࢫࢸ࢕ࣥࢢ࡬ࡢᛂ⏝ᐇ㦂ࢆ⾜ࡗࡓࡀࠊࡇࡢᢏ⾡ࢆࡉࡽ࡟the types of transitions and their underlying mechanisms. WeⓎᒎࡉࡏࠊࣈ࣮ࢫࢸ࢕ࣥࢢྥࡅ㧗㏿᭱㐺໬ฎ⌮ᢏ⾡(1sec/

showed that pattern transitions relate to the complexity of spa-ᅇ)࡜ỗ໬ᛶ⬟ྥୖ(1%௨ୗ)ࡢࡓࡵࡢ᭱㐺Ꮫ⩦࢔ࣝࢦࣜࢬ࣒

tial epidemics by, for example, being accompanied with phe-࡜ᐃᘧ໬ᡭἲࢆᑟฟࡍࡿࠋࡇࢀࡣࠊᩘᏛ࠾ࡼࡧ᝟ሗศ㔝㐃nomena such as coherence resonance and cyclic evolution. The

ᦠ࡟ࡼࡾᐇ᪋ࡍࡿࠋ

reviewed results provide new insights into disease preventionࡲࡓࠊ࢖ࢪࣥࢢィ⟬ᶵࡢࡉࡽ࡞ࡿ㧗ᛶ⬟໬࡟ྥࡅ࡚ࠊ࢖

and control, and may even be applicable outside epidemiology,ࢪࣥࢢィ⟬ᶵࡢࢫࣆࣥྠ᫬᭦᪂ࢆྍ⬟࡟ࡍࡿ☜⋡ࢭࣝࣛ࢜

including other branches of medical science, ecology, quantita-࣮ࢺ࣐ࢱ࢔ࣝࢦࣜࢬ࣒ࢆⓎᒎࡉࡏ࡚ά⏝ࡋࠊᩘᏛⓗ⢭ᗘ⿵

tive finance, and elsewhere.

ൾ࡟ᇶ࡙ࡃ㧗㏿ᇶᗏ≧ែ᥈⣴ᡭἲࢆᵓ⠏ࡍࡿࠋࡇࢀ࡟ࡼࡾࠊ

1) Sun G-Q, Jusup M, Jin Z, Wang Y, Wang Z (2016) Pattern transi-࢖ࢪࣥࢢィ⟬ᶵࡢ཰᮰᫬㛫ࡢ▷⦰ࡀྍ⬟࡜࡞ࡾࠊ㣕㌍ⓗ࡞

tions in spatial epidemics: Mechanisms and emergent properties. Physィ⟬ᶵᛶ⬟ྥୖࡀᮇᚅ࡛ࡁࡿࠋࡉࡽ࡟ࡇࡢᡭἲࢆ࢖ࢪࣥࢢ

Life Rev 19: 43-73.

ィ⟬ᶵࡢFPGAࣉࣟࢺ࡟ࡼࡾཎ⌮ᐇドࢆ⾜࠺ࠋ• A large proportion of human malaria infections is asymptomatic,ࡲࡓࠊࣉࣟࢢ࣒ࣛࢥࣥࢸࢫࢺ࡛ᚓࡽࢀࡓࢢࣛࣇᇙࡵ㎸ࡳ

yet serves as a reservoir that sustains malaria transmission. Toᢏ⾡ࡣࠊࡉࡽ࡞ࡿ㧗ᛶ⬟໬ࡀᮇᚅ࡛ࡁࡿࡓࡵࠊࡑࡢ⤖ᯝࢆ

achieve malaria elimination, it is important to understand howᇶ࡟ࡋࡓ㧗⢭ᗘᇙࡵ㎸ࡳ࢔ࣝࢦࣜࢬ࣒(ᇙࡵ㎸ࡳࢫࣆࣥᩘ

the asymptomatic infections affect malaria transmission among㸰ಸᨵၿ)ࡢ㛤Ⓨࢆ⾜࠺ࠋࡇࡢ⤖ᯝ࡟㛵ࡋ࡚ࡶࠊ࢖ࢪࣥࢢィ

humans. We proposed a simple mathematical model of malaria⟬ᶵࡢFPGAࣉࣟࢺࢱ࢖ࣉ࡟㐺⏝ࡋࠊຠᯝࡢᐇドࢆ⾜࠺ࠋtransmission with both symptomatic and asymptomatic malariaࡲࡓࠊࡉࡽ࡞ࡿ㐺⏝ඛࡢᣑ኱࡟ྥࡅ࡚ࠊ㔞Ꮚ໬Ꮫศ㔝࡟

infections, and investigated an effect of interventions targetingศᏊ࢚ࢿࣝࢠ࣮ィ⟬➼ࠊ⮬↛⛉Ꮫ࡬ࡢ࢖ࢪࣥࢢィ⟬ᶵࡢ㐺

the reservoir population during an early phase of malaria spread⏝ࢆࢱ࣮ࢤࢵࢺ࡜ࡋࡓ◊✲యไࡢᵓ⠏࡜ᑗ᮶࡟ྥࡅࡓ᪂ࡓ

under different transmission settings.

࡞ࣁ࣮ࢻ࢔࣮࢟ࢸࢡࢳࣕࡢᑟฟࢆ⾜࠺ࠋ1) Funo T, Inaba H, Jusup M, Tsuzuki A, Minakawa N, Iwami S(2016) Impact of asymptomatic infections on the early spread of ma-

㸦2㸧௒ᚋࡢ◊✲ࡣࠊࡇࢀࡲ࡛࡟ᵝࠎ࡞◊✲ࡢほⅬ࠿ࡽᚓࡽ

laria. Jpn J Ind Appl Math 33: 671-681.

ࢀࡓ⤖ᯝ࣭▱㆑ࢆ⤫୍ࡍ࡭ࡁࡔࠋ౛࠼ࡤࠊ⏕≀㈨※ࡢᣢ⥆• In the case of an epidemic, a better immunization strategy canⓗ࡞฼⏝ࡢࡓࡵ࡟ࡣࠊኚ໬ࡍࡿ⎔ቃ࡟ᛂࡌ࡚ࡇࡢ⏕≀㈨※

save comparatively more lives and still observe the constraintsࡢືែࡶࠊᣢ⥆ⓗ࡞฼⏝ᨻ⟇࡟ᑐࡍࡿே㛫ࡢ༠ຊࡶࠊ୧᪉

of a limited budget. Because human lives are at stake, the sub-ࢆࡼࡾ῝ࡃ⌮ゎࡍࡿᚲせࡀ࠶ࡿࠋ≉࡟ࠊ⌧௦♫఍ࡢ⥭ᛴၥ

ject of efficient immunization has received considerable atten-㢟ࢆゎỴࡍࡿࡓࡵ࡟ࡣࠊே㛫ࡢ༠ຊࡀ୙ྍḞ࡛࠶ࡿࠋ౛࠼

tion among network scientist, resulting in the strategies basedࡤࠊẼೃኚືࡢᝏᙳ㡪ࢆ㑊ࡅࡿࡓࡵ࡟ࡣࠊ኱つᶍ࡞ᅜ㝿༠[Corresponding author]ຊࡀᚲせ࡛࠶ࡿࠋཪࠊබ⾗⾨⏕ࡢほⅬ࠿ࡽࡣࠊ㞟ᅋච␿ࢆ⥔ᣢࡍࡿ࡟ࡣࠊ࣡ࢡࢳࣥ᥋✀ࣉࣟࢢ࣒ࣛ࡜ࡢᗈ⠊࡞༠ຊࡀ䠍䠌䠅 Van Beveren E, Fromentin J-M, Bonhommeau S, Nieblas
A-E, Metral L, Brisset B, Jusup M, Bauer RK, Brosset P,ᚲせ࡛࠶ࡿࠋ

Saraux C (2017) Prey predator interactions in the face ofୖグၥ㢟ࡢゎỴ࡟㈉⊩ࡍࡿࡓࡵ࡟ࠊᮏ◊✲࡛ࡣᵝࠎ࡞ሙ㠃࡟࠾ࡅࡿே㛫༠ຊࢆಁ㐍ࡍࡿせᅉࢆᐇ㦂ⓗ࡟ㄪ࡭ࡿࠋ

effective

management

strategies:changesinᐇ㦂⤖ᯝࢆ⏝࠸࡚ࠊ㐍໬ࢤ࣮࣒⌮ㄽࡢࣇ࣮࣒࣮ࣞ࣡ࢡࢆཧ

Mediterranean small pelagics are not due to increased⪃ࡋࠊே㛫⾜ືࡢ᪂ࡋ࠸ᩘ⌮ࣔࢹࣝࢆసࡾฟࡍࠋࡉࡽ࡟ࠊ

tuna predation. Can J Fish Aquat Sci 74: 1422-1430.

ࡇ࠺࠸࠺㢼࡟సࡾฟࡋࡓᩘ⌮ࣔࢹࣝࢆ౛࠼ࠊ⏕≀㈨※ືែ䠍䠍䠅 Podobnik B, Jusup M, Wang Z, Stanley HE (2017) Howࡢᩘ⌮ࣔࢹࣝཪࡣࠊὶ⾜⑓ࡢᩘ⌮ࣔࢹࣝ࡜ྜࢃࡏ࡚ࠊຠᯝ

fear of future outcomes affects social dynamics. J Statⓗ࡞ᨻᗓᨻ⟇ࢆ᥎⸀࡛ࡁࡿࡼ࠺࡟ດຊࡍࡿࠋ

Phys 167: 1007-1019.
䠍䠎䠅 Jusup M, Sousa T, Domingos T, Labinac V, Marn N, Wang
Z, Klanjscek T (2017) Physics of metabolic organization.

≗≑᝻૰‒Phys Life Rev 20: 1-39.

4.1 Ꮫ⾡ㄽᩥ㸦ᰝㄞ࠶ࡾ㸧䠍䠅

䠍䠏䠅 Sun G-Q, Jusup M, Jin Z, Wang Y, Wang Z (2016)

Li X-L, Jusup M, Wang Z, Li H-J, Shi L, Podobnik B,

Disease control framework based on spatial epidemiology:

Stanley HE, Havlin S, Boccaletti S (2018) Punishment

Reply to comments on “Pattern transitions in spatial

diminishes the benefits of network reciprocity in social

epidemics: Mechanisms and emergent properties”. Phys

dilemma experiments. Proc Natl Acad Sci USA 115: 30-

Life Rev 19: 103-106.

35. [Equal contribution; Corresponding author]䠎䠅transitionsin(2018) Lower sensitivity of cyprinid fishes to three

emergent

properties.

acetylcholinesterase inhibitor pesticides: an evaluation[Corresponding author]

based on no effect concentrations. Limnology 19: 1-5.
䠏䠅䠐䠅䠍䠐䠅 Sun G-Q, Jusup M, Jin Z, Wang Y, Wang Z (2016) Pattern

Iwasaki Y, Jusup M, Shibata K, Nagai T, Kashiwada S

spatial epidemics:
Phys

Life

Mechanisms
Rev

19:

and

43-73.

䠍䠑䠅 Funo T, Inaba H, Jusup M, Tsuzuki A, Minakawa N, Iwami

Podobnik B, Jusup M, Tiganj Z, Wang W-X, Buldú JM,

S (2016) Impact of asymptomatic infections on the early

Stanley HE (2017) Biological conservation law as an

spread of malaria. Jpn J Ind Appl Math 33: 671-681.

emerging functionality in dynamical neuronal networks.

䠍䠒䠅 Liu Y, Deng Y, Jusup M, Wang Z (2016) A biologically

Proc Natl Acad Sci USA 114: 11826-11831.

inspired immunization strategy for network epidemiology.

Marn N, Jusup M, Legovic T, Kooijman SALM, Klanjscek

J Theor Biol 400: 92-102. [Corresponding author]

T (2017) Environmental effects on the life-history and

䠑䠅

䠒䠅

䠓䠅

metabolism of loggerhead turtles. Ecol Model 360: 163-

4.2 Ꮫ⾡ㄽᩥ㸦ᰝㄞ࡞ࡋ㸧

178.

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Podobnik B, Jusup M, Stanley HE (2017) Predicting therise of EU right-wing populism in response to unbalanced

4.3 ⥲ㄝ࣭ゎㄝ࣭ホㄽ➼

immigration. Complexity 2017: 1580526.

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Lee J-H, Jusup M, Iwasa Y (2017) Games of corruption inpreventing the overuse of common-pool resources. J

4.4 ⴭ᭩

Theor Biol 428: 76-86.

ヱᙜ࡞ࡋࠋWang Z, Jusup M, Wang R-W, Shi L, Iwasa Y, Moreno Y,
Kurths, J (2017) Onymity promotes cooperation in social

4.5 ㅮ₇

dilemma㹟㸬ᣍᚅㅮ₇㸦ᅜ㝿Ꮫ఍㸧

experiments.

Sci

Adv

3:

e1601444.

[Corresponding author]䠔䠅㸯)Jusup M, Sousa T, Domingos T, Labinac V, Marn N, Wang

Doi T, Behera S, Hashizume M, Kruger P, Minakawa N,

Z, Klanjscek T (2017) The universality and the future

Iwami S: Wavelet analysis implies a link between climate

prospects of physiological energetics: Reply to comments

phenomena and malaria incidence in South Africa. 64th

on “Physics of metabolic organization”. Phys Life Rev 20:

Annual Meeting of Ecological Society of Japan, Tokyo,

78-84.
䠕䠅Jusup M with Tsuzuki A, Funo T, Inaba H, Morioka Y,

Marn N, Kooijman SALM, Jusup M, Legovic T, Klanjscek

Japan, 14-18 Mar 2017㸰)Jusup M with Lee J-H, Iwasa Y: Games of corruption inT (2017) Inferring physiological energetics of loggerhead

preventing the overuse of common-pool resources. 64th

turtle (Caretta caretta) from existing data using a general

Annual Meeting of Ecological Society of Japan, Tokyo,

metabolic theory. Mar Environ Res 126: 14-25.

Japan, 14-18 Mar 2017㸱) Mathematics of metabolic organization. 17th RIES–Ho-

㹣. ◊✲఍࣭ࢩ࣏ࣥࢪ࣒࣭࣮࢘࣡ࢡࢩࣙࢵࣉ࡞࡝㸦Ꮫ఍௨

kudai International Symposium, Sapporo, Japan, 13-14

እ㸧

Dec 2016䠍䠅໭኱-᪥❧᪂ᴫᛕࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢࢥࣥࢸࢫࢺ
(2017/11-12)ࠋ

㹠㸬ᣍᚅㅮ₇㸦ᅜෆᏛ఍㸧

䠎䠅

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Jusup M: Testing the fundamentals of evolutionary gametheory. Yunnan University of Finance and Economics,
Kunming, China, 18 Oct 2017㹡㸬୍⯡ㅮ₇㸦ᅜ㝿Ꮫ఍㸧㸯)䠏䠅Jusup M with Podobnik B, Tiganj Z, Wang W-X, Buldú J,

social dilemma experiments. Center for Experimental

Stanley HE: Biological conservation law as an emerging

Research in Social Sciences, Hokkaido University,

functionality in dynamical neuronal networks. BIFIInternational Conference 2018: Complexity, networks,
㸰)Tenure-track mixer, Hokkaido University, Sapporo,
Japan, 24 May 2017
䠑䠅

Mini-workshop

2018: Complexity, networks, and collective behaviour,

Northwestern Polytechnical University, Xi'an, China, 25

Zaragoza, Spain, 6-8 Feb 2018

Mar 2017

Jusup M with Tsuzuki A, Funo T, Inaba H, Morioka Y,

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㸵)

on

Networkand

Data

Science,Dynamic Evolution of Complex Ecological, Biological,

Doi T, Behera S, Hashizume M, Kruger P, Minakawa N,

Social, and Economic Phenomena. Research Institute for

Iwami S: Climatic phenomena and malaria incidence inElectronic

South Africa: From wavelet-based data analysis to

Hokkaido University, Sapporo, Japan, 6 Jan 2017
䠓䠅ScienceResearch

Exchange

Meeting,

How do mutualisms evolve? Evolutionary game dynamics

Society for Ecological Modelling (ISEM) 2017 Global

under an asymmetric strategy setup. Colloquium of

Conference, Jeju, Korea, 17-21 Sept 2017

Hokkaido

Jusup M: Network reciprocity and punishment in social

Sapporo, Japan, 21 Dec 2016
䠔䠅

University

Department

ofMathematics,

Pattern formation and pattern transitions in spatialchanging world, 1st International Scientific Conference on

epidemiology.

Economics in a Changing World, Umag, Croatia, 28-29

Applications XIII, Research Institute of MathematicalAug 2017

㸴)Jusup M: Cooperation in social dilemma experiments.

dilemma experiments. BIFI International Conference

dilemma experiments. Agenda 2030: Economics in a㸳)

Jusup M: Social dilemmas and human cooperation.

Jusup M with Wang Z, Wang R-W, Shi L, Iwasa Y, Moreno

complex networks-based modelling. The International㸲)

Sapporo, Japan, 29 June 2017䠐䠅and collective behaviour, Zaragoza, Spain, 6-8 Feb 2018
Y, Kurths J: Onymity promotes cooperation in social㸱)Jusup M: Understanding human cooperation by means ofJusup M with Domingos T, Sousa T, Labinac V: Physics

TheoryofBiomathematics

and

Its

Science, Kyoto, Japan, 14-17 Nov 2016䠕䠅

Evolutionary game theory and network theory for solvingof metabolic organization. DEB Symposium 2017, Tromsø,

real-world

Norway, 31 May-2 June 2017

University, Xi'an, China, 3 Nov 2016

problems.

Northwestern

PolytechnicalJusup M with Lee J-H, Iwasa Y: Games of corruption in䠍䠌䠅 Jusup M: Evaluating the potential for evolutionary adap-

preventing the overuse of common-pool resources. The

tation to environmental stressors. Workshop on Combin-2016 Conference on Complexity Systems, Beurs Van

ing Modeling and Experimental Approaches for Marine

Berlage, Amsterdam, The Netherlands, 19-22 Sept 2016

Organisms under Stress, Brest, France, 29 Aug-2 Sept

Jusup M with Liu Y, Deng Y, Wang Z: A biologically2016

inspired immunization strategy for network epidemiology.
European Conference on Theoretical and Mathematical

4.6 ࢩ࣏ࣥࢪ࣒࢘ࡢ㛤ദ

Biology, Nottingham, UK, 11-15 July 2016㸯)

Jusup M with Iwami S: Symposium session entitled Data㸶) Jusup M: Incorporating the uncertainties of feeding ecol-

analysis and modelling in ecological epidemiology, The

ogy into stock assessments of valuable fish species:theInternational Society for Ecological Modelling (ISEM)

case of Pacific bluefin tuna. The International Society for

Global Conference 2017, Jeju, Korea, 17-21 Sept 2017

Ecological Modelling Global Conference, Baltimore, USA,

Speakers: Marko Jusup; Dr. Ryo Yamaguchi, Tokyo

8-12 May 2016

Metropolitan University; Prof. Zhen Wang, Northwestern
Polytechnical University, China; Prof. Kei Tokita, Nagoya
University, Japan; Prof. Shingo Iwami, Kyushu University,㹢. ୍⯡ㅮ₇㸦ᅜෆᏛ఍㸧

Japan

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㸰)

Jusup M with Iwami S: Mini-symposium entitled The roleof cost-benefit analysis in mathematical biology, Japan㹠㸬኱ᆺࣉࣟࢪ࢙ࢡࢺ࣭ཷク◊✲

Society for Mathematical Biology Annual Meeting 2016,㸯) JUSUP, Markoࠊබ┈㈈ᅋἲே ✄┒㈈ᅋࠊ⏕≀㈨※ࡢFukuoka, Japan, 7-9 Sept 2016ࣟ ࣂ ࢫ ࢺ ⟶ ⌮ ࡢ ࡓ ࡵ ࡢ ᩘ ⌮ ⏕ ≀ Ꮫ ࠊ 2017/4/1-

Speakers: Prof. Hiroyuki Matsuda, Yokohama National

2018/3/31

University, Japan; Dr. Tin Klanjscek, Rudjer Boskovic
Institute, Croatia and University of California, Santa

4.9 ཷ㈹Barbara,

ヱᙜ࡞ࡋࠋ

USA;

Prof.

Zhen

Wang,

Northwestern

Polytechnical University, China㸱) Jusup M with Lee J-H: Mini-symposium entitled Towards
data-driven mathematical biology, Japan Society forMathematical Biology Annual Meeting 2016, Fukuoka,
Japan, 7-9 Sept 2016
Speakers: Prof. Madeleine Beekman, The University ofSydney, Australia; Prof. Kazunori Yamahira, University of
the Ryukyus; Prof. Takashi Kitagawa, The University ofTokyo; Yoshinori Aoki, The University of Tokyo4.7 ඹྠ◊✲㹟. ᅜෆ኱Ꮫࠊ◊✲ᶵ㛵࡜ࡢඹྠ◊✲ヱᙜ࡞ࡋࠋ
㹠. ⏘ᴗ⏺➼࡜ࡢඹྠ◊✲㸯) ᰴᘧ఍♫ ᪥❧〇సᡤ࡜ࡢ᪂ᴫᛕࢥࣥࣆ࣮ࣗࢸ࢕ࣥࢢ
࡟㛵ࡍࡿඹྠ◊✲ࠋ
㹡. ᅜ㝿ඹྠ◊✲㸯)Prof. Yamir Moreno, University of Zaragoza, Spain
Topic: Human cooperation in the context of common-poolresource management㸰)Prof. Zhen Wang, Northwestern Polytechnical University,
Xi'an, China
Topic: Empirical patterns of human cooperation in theface of social dilemmas

㸱)

Dr. Tin Klanjscek, Rudjer Boskovic Institute, Zagreb,
Croatia
Topic: Physiological energetics of marine turtles㸲) Prof. Madeleine Beekman, The University of Sydney,
Australia
Topic: The evolution of mutualisms and parental cared.እᅜே◊✲⪅ࡢᣍ⪸㸯)Prof. Yamir MorenoࠊSpainࠊ㸦2017/10/5–11㸧

㸰)

Dr. Tin KlanjscekࠊCroatiaࠊ㸦2016/9/4–18㸧

㸱)

Prof. Madeleine BeekmanࠊAustraliaࠊ㸦2016/9/4–8㸧

㸲) Prof. Zhen WangࠊChinaࠊ㸦2016/4/20–5/7㸧
4.8 ண⟬⋓ᚓ≧ἣ㸦◊✲௦⾲⪅ࠊศ㢮ࠊ◊✲ㄢ㢟ࠊᮇ㛫㸧㹟㸬 ⛉Ꮫ◊✲㈝⿵ຓ㔠ヱᙜ࡞ࡋࠋ

4.10 ࢔࢘ࢺ࣮ࣜࢳάື
ヱᙜ࡞ࡋࠋ